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Intel · CPU

Intel Core Ultra 9 Processor 285K

Intel Core Ultra 9 Processor 285K — 规格与基准测试. CPU 核心: 24; 线程: 24; 处理器基础功耗: 125 W; 最大睿频功耗: 250 W.

这些规格有链接来源支持。核心数、频率与内存容量不能预测实际任务性能。请核对测试版本、环境与样本数。

说明与依据已核查

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价格与购买渠道

美元参考价格,本地货币显示。

Intel Core Ultra 9 Processor 285K

上市建议价 · SEP

USD 589.00

美元参考价格
价格来源Intel ↗

价格参考日期: 2024-10-10
资料核查日期: 2026-10-11

国际商店 · 请确认配送国家

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按美元参考价换算,不代表本地售价,不含税费、运费或板卡型号差异。

实际售价请在链接商店查看,并核对型号、库存与配送条件。

功耗

项目数值与条件
处理器基础功耗
125 W
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Processor Base Power",
  "raw_value": "125 W",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
125 W
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Processor Base Power",
  "raw_value": "125 W",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "Processor Base Power",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
Low-power E-core count
0
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "# of Low Power Efficient-cores",
  "raw_value": "0",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
0
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "# of Low Power Efficient-cores",
  "raw_value": "0",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "# of Low Power Efficient-cores",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
最大睿频功耗
250 W
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Maximum Turbo Power",
  "raw_value": "250 W",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
250 W
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Maximum Turbo Power",
  "raw_value": "250 W",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "Maximum Turbo Power",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}

计算配置

项目数值与条件
最高加速频率
5,700 MHz
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Max Turbo Frequency",
  "raw_value": "5.7 GHz",
  "qualifiers": {},
  "document_id": "intel-arrow-916ae16a62537d2d"
}
5,700 MHz
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Max Turbo Frequency",
  "raw_value": "5.7 GHz",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
5,700 MHz
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Max Turbo Frequency",
  "raw_value": "5.7 GHz",
  "qualifiers": {
    "source_field": "Max Turbo Frequency",
    "source_row": 41
  },
  "document_id": "intel-family-241071-9a95110dc20f637e"
}
5,700 MHz
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Max Turbo Frequency",
  "raw_value": "5.7 GHz",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "Max Turbo Frequency",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
CPU 核心
24
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Total Cores",
  "raw_value": "24",
  "qualifiers": {},
  "document_id": "intel-arrow-916ae16a62537d2d"
}
24
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Total Cores",
  "raw_value": "24",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
24
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Total Cores",
  "raw_value": "24",
  "qualifiers": {
    "source_field": "Total Cores",
    "source_row": 41
  },
  "document_id": "intel-family-241071-9a95110dc20f637e"
}
24
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Total Cores",
  "raw_value": "24",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "Total Cores",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
E-core base clock
3,200 MHz
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Efficient-core Base Frequency",
  "raw_value": "3.2 GHz",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
Efficiency cores (E-core)
16
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "# of Efficient-cores",
  "raw_value": "16",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
16
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "# of Efficiency-cores",
  "raw_value": "16",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "# of Efficiency-cores",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
P-core base clock
3,700 MHz
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Performance-core Base Frequency",
  "raw_value": "3.7 GHz",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
3,700 MHz
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Performance-core Base Frequency",
  "raw_value": "3.7 GHz",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "Performance-core Base Frequency",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
Performance cores (P-core)
8
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "# of Performance-cores",
  "raw_value": "8",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
8
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "# of Performance-cores",
  "raw_value": "8",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "# of Performance-cores",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
Published process node
TSMC N3B
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "CPU Lithography",
  "raw_value": "TSMC N3B",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
TSMC N3B
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "CPU Lithography",
  "raw_value": "TSMC N3B",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "CPU Lithography",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
线程
24
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Total Threads",
  "raw_value": "24",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
24
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Total Threads",
  "raw_value": "24",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "Total Threads",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}

内存

项目数值与条件
ECC Supported
支持
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "ECC Memory Supported",
  "raw_value": "Yes",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
支持
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "ECC Memory Supported",
  "raw_value": "Yes",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "ECC Memory Supported",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
Intel Smart Cache
36 MB
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Cache",
  "raw_value": "36 MB Intel Smart Cache",
  "qualifiers": {},
  "document_id": "intel-arrow-916ae16a62537d2d"
}
36 MB
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Cache",
  "raw_value": "36 MB Intel Smart Cache",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
36 MB
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Cache",
  "raw_value": "36 MB Intel Smart Cache",
  "qualifiers": {
    "source_field": "Cache",
    "source_row": 41
  },
  "document_id": "intel-family-241071-9a95110dc20f637e"
}
36 MB
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Cache",
  "raw_value": "36 MB Intel Smart Cache",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "Cache",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
L2 cache
40 MB
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Total L2 Cache",
  "raw_value": "40 MB",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
40 MB
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Total L2 Cache",
  "raw_value": "40 MB",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "Total L2 Cache",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
最大支持内存
256 GB
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Max Memory Size (dependent on memory type)",
  "raw_value": "256 GB",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
256 GB
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Max Memory Size (dependent on memory type)",
  "raw_value": "256 GB",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "Max Memory Size (dependent on memory type)",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
内存通道
2
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Max # of Memory Channels",
  "raw_value": "2",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
2
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Max # of Memory Channels",
  "raw_value": "2",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "Max # of Memory Channels",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
Published DIMM populations
2, 4
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Supported DIMM populations",
  "raw_value": "2, 4",
  "qualifiers": {
    "configuration_status": "1DPC or 2DPC across the two memory channels",
    "platform_scope": "Intel Core Ultra 200S desktop controller; board form factor and routing must match",
    "source_field": "Supported DIMM populations",
    "source_row": 1
  },
  "document_id": "intel-200s-memory-layout-2de1d14d819ca241"
}
Supported RAM module types
UDIMM, CUDIMM, SODIMM, CSODIMM
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "System Memory Subtype",
  "raw_value": "UDIMM, CUDIMM, SODIMM, CSODIMM",
  "qualifiers": {
    "configuration_status": "1DPC or 2DPC across the two memory channels",
    "platform_scope": "Intel Core Ultra 200S desktop controller; board form factor and routing must match",
    "source_field": "System Memory Subtype",
    "source_row": 1
  },
  "document_id": "intel-200s-memory-layout-2de1d14d819ca241"
}
内存类型
Up to DDR5 6400 MT/s
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Memory Types",
  "raw_value": "Up to DDR5 6400 MT/s",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
Up to DDR5 6400 MT/s
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Memory Types",
  "raw_value": "Up to DDR5 6400 MT/s",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "Memory Types",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}

连接与功能

项目数值与条件
GPU INT8 TOPS
8 TOPS
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "GPU Peak TOPS (Int8)",
  "raw_value": "8",
  "qualifiers": {
    "measurement_type": "manufacturer_peak",
    "precision": "INT8",
    "sparsity": "unknown"
  },
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
8 TOPS
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "GPU Peak TOPS (Int8)",
  "raw_value": "8",
  "qualifiers": {
    "intel_sku": "241060",
    "measurement_type": "manufacturer_peak",
    "precision": "INT8",
    "source_field": "GPU Peak TOPS (Int8)",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3,
    "sparsity": "unknown"
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
NPU INT8 TOPS
13 TOPS
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "NPU Peak TOPS (Int8)",
  "raw_value": "13",
  "qualifiers": {
    "measurement_type": "manufacturer_peak",
    "precision": "INT8",
    "sparsity": "unknown"
  },
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
13 TOPS
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "NPU Peak TOPS (Int8)",
  "raw_value": "13",
  "qualifiers": {
    "intel_sku": "241060",
    "measurement_type": "manufacturer_peak",
    "precision": "INT8",
    "source_field": "NPU Peak TOPS (Int8)",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3,
    "sparsity": "unknown"
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
Whole-system INT8 TOPS
36 TOPS
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Overall Peak TOPS (Int8)",
  "raw_value": "36",
  "qualifiers": {
    "measurement_type": "manufacturer_peak",
    "precision": "INT8",
    "sparsity": "unknown"
  },
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
36 TOPS
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Overall Peak TOPS (Int8)",
  "raw_value": "36",
  "qualifiers": {
    "intel_sku": "241060",
    "measurement_type": "manufacturer_peak",
    "precision": "INT8",
    "source_field": "Overall Peak TOPS (Int8)",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3,
    "sparsity": "unknown"
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
Hyper-Threading Supported
不支持
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Intel Hyper-Threading Technology",
  "raw_value": "No",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
不支持
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Intel Hyper-Threading Technology",
  "raw_value": "No",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "Intel Hyper-Threading Technology",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
Max CPU PCIe lanes
24
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Max # of PCI Express Lanes",
  "raw_value": "24",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
24
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Max # of PCI Express Lanes",
  "raw_value": "24",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "Max # of PCI Express Lanes",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
插槽
FCLGA1851
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Sockets Supported",
  "raw_value": "FCLGA1851",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
FCLGA1851
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Sockets Supported",
  "raw_value": "FCLGA1851",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "Sockets Supported",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}

其他规格

项目数值与条件
Intel integrated GPU base frequency
300 MHz
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Graphics Base Frequency",
  "raw_value": "300 MHz",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
300 MHz
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Graphics Base Frequency",
  "raw_value": "300 MHz",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "Graphics Base Frequency",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
Integrated GPU max displays
4
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "# of Displays Supported",
  "raw_value": "4",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
4
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "# of Displays Supported",
  "raw_value": "4",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "# of Displays Supported",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}
Intel integrated GPU max dynamic frequency
2,000 MHz
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Graphics Max Dynamic Frequency",
  "raw_value": "2 GHz",
  "qualifiers": {},
  "document_id": "intel-241060-fc6b2aefcd110b6a"
}
2,000 MHz
来源与条件

查看原文 ↗

{
  "state": "known",
  "raw_label": "Graphics Max Dynamic Frequency",
  "raw_value": "2 GHz",
  "qualifiers": {
    "intel_sku": "241060",
    "source_field": "Graphics Max Dynamic Frequency",
    "source_product_url": "https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html",
    "source_row": 3
  },
  "document_id": "detail-8f9fd798bc2e730d-392a3b32e6611aa7"
}

公开基准测试

请比较版本、场景、设置和统计方法一致的结果。运行数为 0 表示来源汇总或报告值,并非新测量的一次运行。

3DMark (1)

3DMark 06 CPU (build unknown) 3DMark06 CPU

21,932 points

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "3DMark",
    "environment": {
      "backend": "CPU",
      "evidence_type": "source-aggregate",
      "metric_scope": "published benchmark grouped by hardware; mixed systems",
      "population": "Notebookcheck internal and external reviews; mixed systems",
      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
      "source_sample_count": 2,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "3DMark06 CPU",
    "scene_checksum": "source-workload:benchmark.3dmark06_cpu",
    "version": "06 CPU (build unknown)"
  },
  "condition_id": "f143c3a5e768910de882",
  "document_id": "bench-db41a6e58001ed35-9593510551dc5ce3",
  "example_record_ids": [
    "18013:3DMark06 CPU"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.3dmark06_cpu",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "intel-core-285k",
  "record_count": 1,
  "reported_value": 21932,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 2,
  "statistic": "median"
}
7-Zip (2)

7-Zip 18.03 · Multi-thread

129,706 MIPS

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "7-Zip",
    "environment": {
      "backend": "CPU",
      "evidence_type": "source-aggregate",
      "metric_scope": "published benchmark grouped by hardware; mixed systems",
      "population": "Notebookcheck internal and external reviews; mixed systems",
      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
      "source_sample_count": 2,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "multi-thread-4-runs",
    "scene_checksum": "source-workload:benchmark.7zip_multi",
    "version": "18.03"
  },
  "condition_id": "a4e5a93efdbb12ade9c8",
  "document_id": "bench-af7ce69f624f51d5-249478030648299a",
  "example_record_ids": [
    "18013:7-Zip"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.7zip_multi",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "intel-core-285k",
  "record_count": 1,
  "reported_value": 129706,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 2,
  "statistic": "median"
}

7-Zip 18.03 · Single-thread

7,366 MIPS

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "7-Zip",
    "environment": {
      "backend": "CPU",
      "evidence_type": "source-aggregate",
      "metric_scope": "published benchmark grouped by hardware; mixed systems",
      "population": "Notebookcheck internal and external reviews; mixed systems",
      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
      "source_sample_count": 2,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "single-thread-4-runs",
    "scene_checksum": "source-workload:benchmark.7zip_single",
    "version": "18.03"
  },
  "condition_id": "b0f485f34403b76d3e17",
  "document_id": "bench-af7ce69f624f51d5-249478030648299a",
  "example_record_ids": [
    "18013:7-Zip Single"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.7zip_single",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "intel-core-285k",
  "record_count": 1,
  "reported_value": 7366,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 2,
  "statistic": "median"
}
Blender (137)

Blender scene rendering

127.1172861957315 samples/min

运行数: 66

中位数与四分位数n = 66

4.2.0 · classroom · CPU · Windows · 1P · 24 cores · 24 threads

Box: middle 50% (P25–P75)Vertical line: median (P50)

P25
122.03
P50 · 中位数
127.12
P75
130.13

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
79.55 / 134.98
测量日期
2024-10-14 – 2026-01-13
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 127.1172861957315,
    "observed_max": 134.98315351555797,
    "observed_min": 79.54551202589447,
    "percentiles": {
      "p25": 122.03198031752368,
      "p50": 127.1172861957315,
      "p75": 130.13173513015445
    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 66,
    "sample_status": "quartiles",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.2.0"
  },
  "condition_id": "3a95d70b7f2cccd8f086",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "e42b5267-4537-4988-ad63-3870d7607a37",
    "e2399b53-4dfa-4e49-a250-8c0510076b14",
    "7c3a3e90-8d7d-4306-91b7-34fa4a4ee94f"
  ],
  "measured_from": "2024-10-14T16:00:32.122076+00:00",
  "measured_to": "2026-01-13T00:13:15.311799+00:00",
  "median": 127.1172861957315,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "percentiles": {
    "p25": 122.03198031752368,
    "p50": 127.1172861957315,
    "p75": 130.13173513015445
  },
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 66,
  "sample_status": "quartiles"
}

Blender scene rendering

124.2400293155499 samples/min

运行数: 83

中位数与四分位数n = 83

4.3.0 · classroom · CPU · Windows · 1P · 24 cores · 24 threads

Box: middle 50% (P25–P75)Vertical line: median (P50)

P25
121.39
P50 · 中位数
124.24
P75
127.69

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
73.74 / 135.37
测量日期
2024-11-20 – 2026-01-13
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 124.2400293155499,
    "observed_max": 135.36733102380535,
    "observed_min": 73.73888915653374,
    "percentiles": {
      "p25": 121.38555547430406,
      "p50": 124.2400293155499,
      "p75": 127.69091422531613
    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 83,
    "sample_status": "quartiles",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.3.0"
  },
  "condition_id": "c7e1da5ab9d92dcfa7a0",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "ca06cc0b-054d-4515-b2f8-24508d204a08",
    "2c4b6240-6762-45b6-8a40-8af80e050458",
    "8d4ab2ca-8a0c-4536-9138-a5e6b1228e5c"
  ],
  "measured_from": "2024-11-20T19:30:17.559288+00:00",
  "measured_to": "2026-01-13T00:18:38.428769+00:00",
  "median": 124.2400293155499,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "percentiles": {
    "p25": 121.38555547430406,
    "p50": 124.2400293155499,
    "p75": 127.69091422531613
  },
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 83,
  "sample_status": "quartiles"
}

Blender scene rendering

130.06877780774397 samples/min

运行数: 107

公开提交分布n = 107

4.4.0 · classroom · CPU · Windows · 1P · 24 cores · 24 threads

82.41–85.68: 1 提交数量85.68–88.96: 0 提交数量88.96–92.24: 0 提交数量92.24–95.51: 0 提交数量95.51–98.79: 0 提交数量98.79–102.07: 0 提交数量102.07–105.35: 0 提交数量105.35–108.62: 0 提交数量108.62–111.9: 1 提交数量111.9–115.18: 2 提交数量115.18–118.45: 1 提交数量118.45–121.73: 8 提交数量121.73–125.01: 6 提交数量125.01–128.28: 13 提交数量128.28–131.56: 34 提交数量131.56–134.84: 15 提交数量134.84–138.11: 17 提交数量138.11–141.39: 5 提交数量141.39–144.67: 3 提交数量144.67–147.94: 1 提交数量n = 3482.41147.94

Box: middle 50% (P25–P75)Vertical line: median (P50)Horizontal line: P5–P95

P5
120.2
P25
127.65
P50 · 中位数
130.07
P75
134.31
P95
138.47

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
82.41 / 147.94
测量日期
2025-03-19 – 2026-01-26
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "histogram": [
      {
        "count": 1,
        "from": 82.40731115048422,
        "to": 85.68418657330682
      },
      {
        "count": 0,
        "from": 85.68418657330682,
        "to": 88.96106199612943
      },
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        "count": 0,
        "from": 88.96106199612943,
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        "count": 0,
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      },
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      },
      {
        "count": 0,
        "from": 98.79168826459724,
        "to": 102.06856368741984
      },
      {
        "count": 0,
        "from": 102.06856368741984,
        "to": 105.34543911024244
      },
      {
        "count": 0,
        "from": 105.34543911024244,
        "to": 108.62231453306504
      },
      {
        "count": 1,
        "from": 108.62231453306504,
        "to": 111.89918995588765
      },
      {
        "count": 2,
        "from": 111.89918995588765,
        "to": 115.17606537871025
      },
      {
        "count": 1,
        "from": 115.17606537871025,
        "to": 118.45294080153286
      },
      {
        "count": 8,
        "from": 118.45294080153286,
        "to": 121.72981622435546
      },
      {
        "count": 6,
        "from": 121.72981622435546,
        "to": 125.00669164717806
      },
      {
        "count": 13,
        "from": 125.00669164717806,
        "to": 128.28356707000066
      },
      {
        "count": 34,
        "from": 128.28356707000066,
        "to": 131.56044249282326
      },
      {
        "count": 15,
        "from": 131.56044249282326,
        "to": 134.83731791564588
      },
      {
        "count": 17,
        "from": 134.83731791564588,
        "to": 138.11419333846848
      },
      {
        "count": 5,
        "from": 138.11419333846848,
        "to": 141.39106876129108
      },
      {
        "count": 3,
        "from": 141.39106876129108,
        "to": 144.66794418411368
      },
      {
        "count": 1,
        "from": 144.66794418411368,
        "to": 147.94481960693628
      }
    ],
    "independent_system_count": null,
    "median": 130.06877780774397,
    "observed_max": 147.94481960693628,
    "observed_min": 82.40731115048422,
    "percentiles": {
      "p25": 127.6516336547864,
      "p5": 120.20294110552604,
      "p50": 130.06877780774397,
      "p75": 134.30867399163515,
      "p95": 138.46964940246625
    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 107,
    "sample_status": "distribution",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.4.0"
  },
  "condition_id": "e7a6788cbe76b878609c",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "f2c8bf44-e437-4545-b1a5-6d7c975511b1",
    "24142576-aaf1-4141-9747-1bf581c73fef",
    "f37bb8fc-3dfe-483b-a5f0-2e4d04a41372"
  ],
  "measured_from": "2025-03-19T08:20:04.908787+00:00",
  "measured_to": "2026-01-26T20:28:16.267309+00:00",
  "median": 130.06877780774397,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "percentiles": {
    "p25": 127.6516336547864,
    "p5": 120.20294110552604,
    "p50": 130.06877780774397,
    "p75": 134.30867399163515,
    "p95": 138.46964940246625
  },
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 107,
  "sample_status": "distribution"
}

Blender scene rendering

131.4919961770501 samples/min

运行数: 253

公开提交分布n = 253

4.5.0 · classroom · CPU · Windows · 1P · 24 cores · 24 threads

92.06–95.1: 1 提交数量95.1–98.14: 0 提交数量98.14–101.19: 1 提交数量101.19–104.23: 4 提交数量104.23–107.27: 5 提交数量107.27–110.32: 6 提交数量110.32–113.36: 10 提交数量113.36–116.4: 4 提交数量116.4–119.45: 4 提交数量119.45–122.49: 5 提交数量122.49–125.54: 14 提交数量125.54–128.58: 14 提交数量128.58–131.62: 60 提交数量131.62–134.67: 63 提交数量134.67–137.71: 35 提交数量137.71–140.75: 11 提交数量140.75–143.8: 3 提交数量143.8–146.84: 0 提交数量146.84–149.88: 0 提交数量149.88–152.93: 13 提交数量n = 6392.06152.93

Box: middle 50% (P25–P75)Vertical line: median (P50)Horizontal line: P5–P95

P5
108.04
P25
128.03
P50 · 中位数
131.49
P75
134.58
P95
146.08

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
92.06 / 152.93
测量日期
2025-07-17 – 2026-03-10
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "histogram": [
      {
        "count": 1,
        "from": 92.055788451455,
        "to": 95.0993790626547
      },
      {
        "count": 0,
        "from": 95.0993790626547,
        "to": 98.14296967385441
      },
      {
        "count": 1,
        "from": 98.14296967385441,
        "to": 101.18656028505411
      },
      {
        "count": 4,
        "from": 101.18656028505411,
        "to": 104.23015089625382
      },
      {
        "count": 5,
        "from": 104.23015089625382,
        "to": 107.27374150745352
      },
      {
        "count": 6,
        "from": 107.27374150745352,
        "to": 110.31733211865324
      },
      {
        "count": 10,
        "from": 110.31733211865324,
        "to": 113.36092272985294
      },
      {
        "count": 4,
        "from": 113.36092272985294,
        "to": 116.40451334105265
      },
      {
        "count": 4,
        "from": 116.40451334105265,
        "to": 119.44810395225235
      },
      {
        "count": 5,
        "from": 119.44810395225235,
        "to": 122.49169456345206
      },
      {
        "count": 14,
        "from": 122.49169456345206,
        "to": 125.53528517465176
      },
      {
        "count": 14,
        "from": 125.53528517465176,
        "to": 128.57887578585147
      },
      {
        "count": 60,
        "from": 128.57887578585147,
        "to": 131.62246639705117
      },
      {
        "count": 63,
        "from": 131.62246639705117,
        "to": 134.66605700825087
      },
      {
        "count": 35,
        "from": 134.66605700825087,
        "to": 137.70964761945058
      },
      {
        "count": 11,
        "from": 137.70964761945058,
        "to": 140.75323823065028
      },
      {
        "count": 3,
        "from": 140.75323823065028,
        "to": 143.79682884185
      },
      {
        "count": 0,
        "from": 143.79682884185,
        "to": 146.8404194530497
      },
      {
        "count": 0,
        "from": 146.8404194530497,
        "to": 149.8840100642494
      },
      {
        "count": 13,
        "from": 149.8840100642494,
        "to": 152.9276006754491
      }
    ],
    "independent_system_count": null,
    "median": 131.4919961770501,
    "observed_max": 152.9276006754491,
    "observed_min": 92.055788451455,
    "percentiles": {
      "p25": 128.0295946645406,
      "p5": 108.04018584713796,
      "p50": 131.4919961770501,
      "p75": 134.57799121283733,
      "p95": 146.08497028894195
    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 253,
    "sample_status": "distribution",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.5.0"
  },
  "condition_id": "2d3417ff8083ab6560e4",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "46ec50c8-f502-4f56-8b9e-d5ca810afae2",
    "8dfa4f59-25e0-4268-ba68-a77d3219a868",
    "6de39407-712d-4427-afe5-cb9196e2d8b7"
  ],
  "measured_from": "2025-07-17T01:48:34.454086+00:00",
  "measured_to": "2026-03-10T12:52:03.431543+00:00",
  "median": 131.4919961770501,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "percentiles": {
    "p25": 128.0295946645406,
    "p5": 108.04018584713796,
    "p50": 131.4919961770501,
    "p75": 134.57799121283733,
    "p95": 146.08497028894195
  },
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 253,
  "sample_status": "distribution"
}

Blender scene rendering

170.4407109657413 samples/min

运行数: 66

中位数与四分位数n = 66

4.2.0 · junkshop · CPU · Windows · 1P · 24 cores · 24 threads

Box: middle 50% (P25–P75)Vertical line: median (P50)

P25
163.62
P50 · 中位数
170.44
P75
175.98

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
99.41 / 184.18
测量日期
2024-10-14 – 2026-01-13
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 170.4407109657413,
    "observed_max": 184.17681303164244,
    "observed_min": 99.40764006848728,
    "percentiles": {
      "p25": 163.6184827715259,
      "p50": 170.4407109657413,
      "p75": 175.98070553599837
    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 66,
    "sample_status": "quartiles",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.2.0"
  },
  "condition_id": "7c93fac5042ab990533d",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "e42b5267-4537-4988-ad63-3870d7607a37",
    "e2399b53-4dfa-4e49-a250-8c0510076b14",
    "7c3a3e90-8d7d-4306-91b7-34fa4a4ee94f"
  ],
  "measured_from": "2024-10-14T15:59:55.594185+00:00",
  "measured_to": "2026-01-13T00:12:35.051466+00:00",
  "median": 170.4407109657413,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "percentiles": {
    "p25": 163.6184827715259,
    "p50": 170.4407109657413,
    "p75": 175.98070553599837
  },
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 66,
  "sample_status": "quartiles"
}

Blender scene rendering

164.4198810973528 samples/min

运行数: 83

中位数与四分位数n = 83

4.3.0 · junkshop · CPU · Windows · 1P · 24 cores · 24 threads

Box: middle 50% (P25–P75)Vertical line: median (P50)

P25
157.96
P50 · 中位数
164.42
P75
171.59

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
104.02 / 190.18
测量日期
2024-11-20 – 2026-01-13
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 164.4198810973528,
    "observed_max": 190.18138598704334,
    "observed_min": 104.0237201821674,
    "percentiles": {
      "p25": 157.95812546329913,
      "p50": 164.4198810973528,
      "p75": 171.59464647770926
    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 83,
    "sample_status": "quartiles",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.3.0"
  },
  "condition_id": "73cfe989bc060caca2f2",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "ca06cc0b-054d-4515-b2f8-24508d204a08",
    "2c4b6240-6762-45b6-8a40-8af80e050458",
    "8d4ab2ca-8a0c-4536-9138-a5e6b1228e5c"
  ],
  "measured_from": "2024-11-20T19:29:39.373052+00:00",
  "measured_to": "2026-01-13T00:17:58.664647+00:00",
  "median": 164.4198810973528,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "percentiles": {
    "p25": 157.95812546329913,
    "p50": 164.4198810973528,
    "p75": 171.59464647770926
  },
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 83,
  "sample_status": "quartiles"
}

Blender scene rendering

167.84376196955216 samples/min

运行数: 106

公开提交分布n = 106

4.4.0 · junkshop · CPU · Windows · 1P · 24 cores · 24 threads

134.08–137.44: 1 提交数量137.44–140.79: 1 提交数量140.79–144.15: 1 提交数量144.15–147.51: 1 提交数量147.51–150.86: 5 提交数量150.86–154.22: 4 提交数量154.22–157.57: 5 提交数量157.57–160.93: 13 提交数量160.93–164.29: 9 提交数量164.29–167.64: 13 提交数量167.64–171: 10 提交数量171–174.35: 10 提交数量174.35–177.71: 9 提交数量177.71–181.07: 3 提交数量181.07–184.42: 11 提交数量184.42–187.78: 5 提交数量187.78–191.13: 1 提交数量191.13–194.49: 0 提交数量194.49–197.85: 3 提交数量197.85–201.2: 1 提交数量n = 13134.08201.2

Box: middle 50% (P25–P75)Vertical line: median (P50)Horizontal line: P5–P95

P5
148.02
P25
159.44
P50 · 中位数
167.84
P75
175.58
P95
186.66

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
134.08 / 201.2
测量日期
2025-03-19 – 2026-01-26
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "histogram": [
      {
        "count": 1,
        "from": 134.08261855466824,
        "to": 137.43855486072147
      },
      {
        "count": 1,
        "from": 137.43855486072147,
        "to": 140.7944911667747
      },
      {
        "count": 1,
        "from": 140.7944911667747,
        "to": 144.15042747282791
      },
      {
        "count": 1,
        "from": 144.15042747282791,
        "to": 147.50636377888114
      },
      {
        "count": 5,
        "from": 147.50636377888114,
        "to": 150.86230008493436
      },
      {
        "count": 4,
        "from": 150.86230008493436,
        "to": 154.21823639098756
      },
      {
        "count": 5,
        "from": 154.21823639098756,
        "to": 157.57417269704078
      },
      {
        "count": 13,
        "from": 157.57417269704078,
        "to": 160.930109003094
      },
      {
        "count": 9,
        "from": 160.930109003094,
        "to": 164.28604530914723
      },
      {
        "count": 13,
        "from": 164.28604530914723,
        "to": 167.64198161520045
      },
      {
        "count": 10,
        "from": 167.64198161520045,
        "to": 170.99791792125367
      },
      {
        "count": 10,
        "from": 170.99791792125367,
        "to": 174.3538542273069
      },
      {
        "count": 9,
        "from": 174.3538542273069,
        "to": 177.70979053336012
      },
      {
        "count": 3,
        "from": 177.70979053336012,
        "to": 181.06572683941334
      },
      {
        "count": 11,
        "from": 181.06572683941334,
        "to": 184.42166314546654
      },
      {
        "count": 5,
        "from": 184.42166314546654,
        "to": 187.7775994515198
      },
      {
        "count": 1,
        "from": 187.7775994515198,
        "to": 191.133535757573
      },
      {
        "count": 0,
        "from": 191.133535757573,
        "to": 194.4894720636262
      },
      {
        "count": 3,
        "from": 194.4894720636262,
        "to": 197.84540836967943
      },
      {
        "count": 1,
        "from": 197.84540836967943,
        "to": 201.20134467573266
      }
    ],
    "independent_system_count": null,
    "median": 167.84376196955216,
    "observed_max": 201.20134467573266,
    "observed_min": 134.08261855466824,
    "percentiles": {
      "p25": 159.4381943559811,
      "p5": 148.02327181340561,
      "p50": 167.84376196955216,
      "p75": 175.58099687478264,
      "p95": 186.66088211984135
    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 106,
    "sample_status": "distribution",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.4.0"
  },
  "condition_id": "fc48ebfa69344d0a83d4",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "f2c8bf44-e437-4545-b1a5-6d7c975511b1",
    "24142576-aaf1-4141-9747-1bf581c73fef",
    "f37bb8fc-3dfe-483b-a5f0-2e4d04a41372"
  ],
  "measured_from": "2025-03-19T08:19:27.112589+00:00",
  "measured_to": "2026-01-26T20:27:39.064716+00:00",
  "median": 167.84376196955216,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "percentiles": {
    "p25": 159.4381943559811,
    "p5": 148.02327181340561,
    "p50": 167.84376196955216,
    "p75": 175.58099687478264,
    "p95": 186.66088211984135
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  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 106,
  "sample_status": "distribution"
}

Blender scene rendering

168.6534149174938 samples/min

运行数: 253

公开提交分布n = 253

4.5.0 · junkshop · CPU · Windows · 1P · 24 cores · 24 threads

118.12–122.68: 3 提交数量122.68–127.23: 1 提交数量127.23–131.79: 0 提交数量131.79–136.35: 1 提交数量136.35–140.91: 3 提交数量140.91–145.47: 6 提交数量145.47–150.03: 7 提交数量150.03–154.59: 9 提交数量154.59–159.15: 19 提交数量159.15–163.7: 36 提交数量163.7–168.26: 39 提交数量168.26–172.82: 31 提交数量172.82–177.38: 31 提交数量177.38–181.94: 31 提交数量181.94–186.5: 12 提交数量186.5–191.06: 10 提交数量191.06–195.62: 1 提交数量195.62–200.17: 2 提交数量200.17–204.73: 0 提交数量204.73–209.29: 11 提交数量n = 39118.12209.29

Box: middle 50% (P25–P75)Vertical line: median (P50)Horizontal line: P5–P95

P5
143.36
P25
160.8
P50 · 中位数
168.65
P75
177.81
P95
195.8

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
118.12 / 209.29
测量日期
2025-07-17 – 2026-03-10
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "histogram": [
      {
        "count": 3,
        "from": 118.11635308794006,
        "to": 122.67513161175293
      },
      {
        "count": 1,
        "from": 122.67513161175293,
        "to": 127.23391013556581
      },
      {
        "count": 0,
        "from": 127.23391013556581,
        "to": 131.79268865937868
      },
      {
        "count": 1,
        "from": 131.79268865937868,
        "to": 136.35146718319157
      },
      {
        "count": 3,
        "from": 136.35146718319157,
        "to": 140.91024570700444
      },
      {
        "count": 6,
        "from": 140.91024570700444,
        "to": 145.46902423081733
      },
      {
        "count": 7,
        "from": 145.46902423081733,
        "to": 150.0278027546302
      },
      {
        "count": 9,
        "from": 150.0278027546302,
        "to": 154.58658127844308
      },
      {
        "count": 19,
        "from": 154.58658127844308,
        "to": 159.14535980225594
      },
      {
        "count": 36,
        "from": 159.14535980225594,
        "to": 163.70413832606883
      },
      {
        "count": 39,
        "from": 163.70413832606883,
        "to": 168.2629168498817
      },
      {
        "count": 31,
        "from": 168.2629168498817,
        "to": 172.82169537369458
      },
      {
        "count": 31,
        "from": 172.82169537369458,
        "to": 177.38047389750744
      },
      {
        "count": 31,
        "from": 177.38047389750744,
        "to": 181.93925242132033
      },
      {
        "count": 12,
        "from": 181.93925242132033,
        "to": 186.49803094513322
      },
      {
        "count": 10,
        "from": 186.49803094513322,
        "to": 191.05680946894608
      },
      {
        "count": 1,
        "from": 191.05680946894608,
        "to": 195.61558799275895
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      {
        "count": 2,
        "from": 195.61558799275895,
        "to": 200.17436651657184
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      {
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        "from": 200.17436651657184,
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      {
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        "from": 204.73314504038473,
        "to": 209.2919235641976
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    ],
    "independent_system_count": null,
    "median": 168.6534149174938,
    "observed_max": 209.2919235641976,
    "observed_min": 118.11635308794006,
    "percentiles": {
      "p25": 160.80446170838795,
      "p5": 143.35741375808448,
      "p50": 168.6534149174938,
      "p75": 177.8110343478675,
      "p95": 195.79644384422508
    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 253,
    "sample_status": "distribution",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.5.0"
  },
  "condition_id": "34081cfe0270ba0ab464",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "46ec50c8-f502-4f56-8b9e-d5ca810afae2",
    "8dfa4f59-25e0-4268-ba68-a77d3219a868",
    "6de39407-712d-4427-afe5-cb9196e2d8b7"
  ],
  "measured_from": "2025-07-17T01:47:57.058718+00:00",
  "measured_to": "2026-03-10T12:51:27.178503+00:00",
  "median": 168.6534149174938,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "percentiles": {
    "p25": 160.80446170838795,
    "p5": 143.35741375808448,
    "p50": 168.6534149174938,
    "p75": 177.8110343478675,
    "p95": 195.79644384422508
  },
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 253,
  "sample_status": "distribution"
}

Blender scene rendering

261.5519586106426 samples/min

运行数: 66

中位数与四分位数n = 66

4.2.0 · monster · CPU · Windows · 1P · 24 cores · 24 threads

Box: middle 50% (P25–P75)Vertical line: median (P50)

P25
254.51
P50 · 中位数
261.55
P75
265.66

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
161.96 / 272.89
测量日期
2024-10-14 – 2026-01-13
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 261.5519586106426,
    "observed_max": 272.8916958592171,
    "observed_min": 161.9620153875214,
    "percentiles": {
      "p25": 254.50888601852395,
      "p50": 261.5519586106426,
      "p75": 265.6554730545374
    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 66,
    "sample_status": "quartiles",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.2.0"
  },
  "condition_id": "374711f394a1fa83ed59",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "e42b5267-4537-4988-ad63-3870d7607a37",
    "e2399b53-4dfa-4e49-a250-8c0510076b14",
    "7c3a3e90-8d7d-4306-91b7-34fa4a4ee94f"
  ],
  "measured_from": "2024-10-14T15:59:16.638248+00:00",
  "measured_to": "2026-01-13T00:11:51.727093+00:00",
  "median": 261.5519586106426,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "percentiles": {
    "p25": 254.50888601852395,
    "p50": 261.5519586106426,
    "p75": 265.6554730545374
  },
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 66,
  "sample_status": "quartiles"
}

Blender scene rendering

255.69817941905174 samples/min

运行数: 83

中位数与四分位数n = 83

4.3.0 · monster · CPU · Windows · 1P · 24 cores · 24 threads

Box: middle 50% (P25–P75)Vertical line: median (P50)

P25
249.78
P50 · 中位数
255.7
P75
261.45

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
147.77 / 277.59
测量日期
2024-11-20 – 2026-01-13
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 255.69817941905174,
    "observed_max": 277.58674412262116,
    "observed_min": 147.77122898371903,
    "percentiles": {
      "p25": 249.78003342102804,
      "p50": 255.69817941905174,
      "p75": 261.4508102642327
    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 83,
    "sample_status": "quartiles",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.3.0"
  },
  "condition_id": "27474c8acd346d3caccf",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "ca06cc0b-054d-4515-b2f8-24508d204a08",
    "2c4b6240-6762-45b6-8a40-8af80e050458",
    "8d4ab2ca-8a0c-4536-9138-a5e6b1228e5c"
  ],
  "measured_from": "2024-11-20T19:28:58.504562+00:00",
  "measured_to": "2026-01-13T00:17:15.761111+00:00",
  "median": 255.69817941905174,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "percentiles": {
    "p25": 249.78003342102804,
    "p50": 255.69817941905174,
    "p75": 261.4508102642327
  },
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 83,
  "sample_status": "quartiles"
}

Blender scene rendering

258.9259406746229 samples/min

运行数: 105

公开提交分布n = 105

4.4.0 · monster · CPU · Windows · 1P · 24 cores · 24 threads

211.73–215.92: 1 提交数量215.92–220.1: 0 提交数量220.1–224.28: 0 提交数量224.28–228.47: 1 提交数量228.47–232.65: 1 提交数量232.65–236.83: 2 提交数量236.83–241.01: 2 提交数量241.01–245.2: 5 提交数量245.2–249.38: 7 提交数量249.38–253.56: 11 提交数量253.56–257.75: 16 提交数量257.75–261.93: 14 提交数量261.93–266.11: 11 提交数量266.11–270.29: 9 提交数量270.29–274.48: 18 提交数量274.48–278.66: 3 提交数量278.66–282.84: 0 提交数量282.84–287.02: 1 提交数量287.02–291.21: 2 提交数量291.21–295.39: 1 提交数量n = 18211.73295.39

Box: middle 50% (P25–P75)Vertical line: median (P50)Horizontal line: P5–P95

P5
238.86
P25
252.3
P50 · 中位数
258.93
P75
269.75
P95
274.72

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
211.73 / 295.39
测量日期
2025-03-19 – 2026-01-26
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "histogram": [
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        "from": 211.73449035788502,
        "to": 215.91727664651583
      },
      {
        "count": 0,
        "from": 215.91727664651583,
        "to": 220.10006293514664
      },
      {
        "count": 0,
        "from": 220.10006293514664,
        "to": 224.28284922377745
      },
      {
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        "from": 224.28284922377745,
        "to": 228.46563551240826
      },
      {
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        "to": 232.6484218010391
      },
      {
        "count": 2,
        "from": 232.6484218010391,
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      },
      {
        "count": 2,
        "from": 236.83120808966987,
        "to": 241.0139943783007
      },
      {
        "count": 5,
        "from": 241.0139943783007,
        "to": 245.19678066693152
      },
      {
        "count": 7,
        "from": 245.19678066693152,
        "to": 249.37956695556232
      },
      {
        "count": 11,
        "from": 249.37956695556232,
        "to": 253.56235324419313
      },
      {
        "count": 16,
        "from": 253.56235324419313,
        "to": 257.74513953282394
      },
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        "count": 14,
        "from": 257.74513953282394,
        "to": 261.9279258214548
      },
      {
        "count": 11,
        "from": 261.9279258214548,
        "to": 266.11071211008556
      },
      {
        "count": 9,
        "from": 266.11071211008556,
        "to": 270.2934983987164
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        "count": 18,
        "from": 270.2934983987164,
        "to": 274.4762846873472
      },
      {
        "count": 3,
        "from": 274.4762846873472,
        "to": 278.659070975978
      },
      {
        "count": 0,
        "from": 278.659070975978,
        "to": 282.8418572646088
      },
      {
        "count": 1,
        "from": 282.8418572646088,
        "to": 287.0246435532396
      },
      {
        "count": 2,
        "from": 287.0246435532396,
        "to": 291.2074298418704
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      {
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        "from": 291.2074298418704,
        "to": 295.39021613050124
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    ],
    "independent_system_count": null,
    "median": 258.9259406746229,
    "observed_max": 295.39021613050124,
    "observed_min": 211.73449035788502,
    "percentiles": {
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      "p5": 238.85587675601172,
      "p50": 258.9259406746229,
      "p75": 269.75056539324714,
      "p95": 274.7161664392197
    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 105,
    "sample_status": "distribution",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
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      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
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      "system": "Windows"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.4.0"
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  "condition_id": "6c387b89c30ee68b2eb7",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "24142576-aaf1-4141-9747-1bf581c73fef",
    "f37bb8fc-3dfe-483b-a5f0-2e4d04a41372",
    "45f43b8b-6a31-4bd7-9737-4721b4523410"
  ],
  "measured_from": "2025-03-19T08:18:45.512963+00:00",
  "measured_to": "2026-01-26T20:26:58.766880+00:00",
  "median": 258.9259406746229,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "percentiles": {
    "p25": 252.30179754273698,
    "p5": 238.85587675601172,
    "p50": 258.9259406746229,
    "p75": 269.75056539324714,
    "p95": 274.7161664392197
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  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 105,
  "sample_status": "distribution"
}

Blender scene rendering

261.12733854730874 samples/min

运行数: 253

公开提交分布n = 253

4.5.0 · monster · CPU · Windows · 1P · 24 cores · 24 threads

158.18–165.49: 1 提交数量165.49–172.8: 0 提交数量172.8–180.11: 0 提交数量180.11–187.42: 1 提交数量187.42–194.73: 1 提交数量194.73–202.04: 0 提交数量202.04–209.36: 1 提交数量209.36–216.67: 10 提交数量216.67–223.98: 2 提交数量223.98–231.29: 4 提交数量231.29–238.6: 10 提交数量238.6–245.91: 8 提交数量245.91–253.22: 25 提交数量253.22–260.53: 56 提交数量260.53–267.84: 74 提交数量267.84–275.15: 29 提交数量275.15–282.47: 16 提交数量282.47–289.78: 2 提交数量289.78–297.09: 0 提交数量297.09–304.4: 13 提交数量n = 74158.18304.4

Box: middle 50% (P25–P75)Vertical line: median (P50)Horizontal line: P5–P95

P5
214.86
P25
253.3
P50 · 中位数
261.13
P75
267.45
P95
289.05

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
158.18 / 304.4
测量日期
2025-07-17 – 2026-03-10
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
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      },
      {
        "count": 29,
        "from": 267.8438423054029,
        "to": 275.15482807315243
      },
      {
        "count": 16,
        "from": 275.15482807315243,
        "to": 282.4658138409019
      },
      {
        "count": 2,
        "from": 282.4658138409019,
        "to": 289.7767996086514
      },
      {
        "count": 0,
        "from": 289.7767996086514,
        "to": 297.0877853764009
      },
      {
        "count": 13,
        "from": 297.0877853764009,
        "to": 304.39877114415043
      }
    ],
    "independent_system_count": null,
    "median": 261.12733854730874,
    "observed_max": 304.39877114415043,
    "observed_min": 158.17905578916032,
    "percentiles": {
      "p25": 253.30379824136475,
      "p5": 214.8554002279978,
      "p50": 261.12733854730874,
      "p75": 267.45284496976086,
      "p95": 289.04891108238047
    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 253,
    "sample_status": "distribution",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.5.0"
  },
  "condition_id": "cc8ba7d3fa241da875bb",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "46ec50c8-f502-4f56-8b9e-d5ca810afae2",
    "8dfa4f59-25e0-4268-ba68-a77d3219a868",
    "6de39407-712d-4427-afe5-cb9196e2d8b7"
  ],
  "measured_from": "2025-07-17T01:47:11.482467+00:00",
  "measured_to": "2026-03-10T12:50:40.838835+00:00",
  "median": 261.12733854730874,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "percentiles": {
    "p25": 253.30379824136475,
    "p5": 214.8554002279978,
    "p50": 261.12733854730874,
    "p75": 267.45284496976086,
    "p95": 289.04891108238047
  },
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 253,
  "sample_status": "distribution"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · classroom · CPU · Windows · 1P · 8 cores · 8 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
40.06 / 40.06
测量日期
2026-02-13 – 2026-02-13
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-02-13T14:58:35.797067+00:00",
        "score": 40.06268219975286,
        "source_record_id": "f14908fb-2e55-4d9c-b710-32b6aa529806"
      }
    ],
    "median": null,
    "observed_max": 40.06268219975286,
    "observed_min": 40.06268219975286,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 8,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 8,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.5.0"
  },
  "condition_id": "161feefc992a174336d5",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "f14908fb-2e55-4d9c-b710-32b6aa529806"
  ],
  "measured_from": "2026-02-13T14:58:35.797067+00:00",
  "measured_to": "2026-02-13T14:58:35.797067+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · junkshop · CPU · Windows · 1P · 8 cores · 8 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
46.79 / 46.79
测量日期
2026-02-13 – 2026-02-13
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-02-13T14:57:56.152356+00:00",
        "score": 46.78995487046466,
        "source_record_id": "f14908fb-2e55-4d9c-b710-32b6aa529806"
      }
    ],
    "median": null,
    "observed_max": 46.78995487046466,
    "observed_min": 46.78995487046466,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 8,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 8,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.5.0"
  },
  "condition_id": "e851cefaa6fbe2c6d0d1",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "f14908fb-2e55-4d9c-b710-32b6aa529806"
  ],
  "measured_from": "2026-02-13T14:57:56.152356+00:00",
  "measured_to": "2026-02-13T14:57:56.152356+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · monster · CPU · Windows · 1P · 8 cores · 8 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
71.4 / 71.4
测量日期
2026-02-13 – 2026-02-13
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-02-13T14:57:03.696332+00:00",
        "score": 71.40440466754512,
        "source_record_id": "f14908fb-2e55-4d9c-b710-32b6aa529806"
      }
    ],
    "median": null,
    "observed_max": 71.40440466754512,
    "observed_min": 71.40440466754512,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 8,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 8,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.5.0"
  },
  "condition_id": "1b086fc990162a7d8e5b",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "f14908fb-2e55-4d9c-b710-32b6aa529806"
  ],
  "measured_from": "2026-02-13T14:57:03.696332+00:00",
  "measured_to": "2026-02-13T14:57:03.696332+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

4.5.0 · classroom · CPU · Linux · Arch Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
144.28 / 152.89
测量日期
2026-01-08 – 2026-01-12
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-01-08T15:48:35.027678+00:00",
        "score": 152.88992152154034,
        "source_record_id": "271ea029-6b2f-419f-b3d5-8de311dc89c5"
      },
      {
        "measured_at": "2026-01-12T15:33:41.795559+00:00",
        "score": 144.27865940749564,
        "source_record_id": "28c33099-a69f-4ef7-be55-eea064eb2515"
      }
    ],
    "median": null,
    "observed_max": 152.88992152154034,
    "observed_min": 144.27865940749564,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Arch Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.5.0"
  },
  "condition_id": "7a2d1009032d367e335a",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "271ea029-6b2f-419f-b3d5-8de311dc89c5",
    "28c33099-a69f-4ef7-be55-eea064eb2515"
  ],
  "measured_from": "2026-01-08T15:48:35.027678+00:00",
  "measured_to": "2026-01-12T15:33:41.795559+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

4.5.0 · junkshop · CPU · Linux · Arch Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
203.62 / 207.06
测量日期
2026-01-08 – 2026-01-12
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-01-08T15:48:01.332592+00:00",
        "score": 207.06273742115437,
        "source_record_id": "271ea029-6b2f-419f-b3d5-8de311dc89c5"
      },
      {
        "measured_at": "2026-01-12T15:33:09.449631+00:00",
        "score": 203.61735120316112,
        "source_record_id": "28c33099-a69f-4ef7-be55-eea064eb2515"
      }
    ],
    "median": null,
    "observed_max": 207.06273742115437,
    "observed_min": 203.61735120316112,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Arch Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.5.0"
  },
  "condition_id": "7e1f4275eadcc506cceb",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "271ea029-6b2f-419f-b3d5-8de311dc89c5",
    "28c33099-a69f-4ef7-be55-eea064eb2515"
  ],
  "measured_from": "2026-01-08T15:48:01.332592+00:00",
  "measured_to": "2026-01-12T15:33:09.449631+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

4.5.0 · monster · CPU · Linux · Arch Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
313.15 / 315.39
测量日期
2026-01-08 – 2026-01-12
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-01-08T15:47:23.704295+00:00",
        "score": 313.14507155364885,
        "source_record_id": "271ea029-6b2f-419f-b3d5-8de311dc89c5"
      },
      {
        "measured_at": "2026-01-12T15:32:31.509085+00:00",
        "score": 315.38658510669455,
        "source_record_id": "28c33099-a69f-4ef7-be55-eea064eb2515"
      }
    ],
    "median": null,
    "observed_max": 315.38658510669455,
    "observed_min": 313.14507155364885,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Arch Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.5.0"
  },
  "condition_id": "0960693e5b3b1bf52171",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "271ea029-6b2f-419f-b3d5-8de311dc89c5",
    "28c33099-a69f-4ef7-be55-eea064eb2515"
  ],
  "measured_from": "2026-01-08T15:47:23.704295+00:00",
  "measured_to": "2026-01-12T15:32:31.509085+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · classroom · CPU · Linux · CachyOS Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
156.94 / 156.94
测量日期
2026-03-11 – 2026-03-11
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-11T07:35:07.162144+00:00",
        "score": 156.93944065427084,
        "source_record_id": "55fe4369-c278-40de-a478-b77048438d77"
      }
    ],
    "median": null,
    "observed_max": 156.93944065427084,
    "observed_min": 156.93944065427084,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "CachyOS Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.5.0"
  },
  "condition_id": "4b901cb47064f06ba601",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "55fe4369-c278-40de-a478-b77048438d77"
  ],
  "measured_from": "2026-03-11T07:35:07.162144+00:00",
  "measured_to": "2026-03-11T07:35:07.162144+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · junkshop · CPU · Linux · CachyOS Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
223.42 / 223.42
测量日期
2026-03-11 – 2026-03-11
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-11T07:34:34.660261+00:00",
        "score": 223.42042500957692,
        "source_record_id": "55fe4369-c278-40de-a478-b77048438d77"
      }
    ],
    "median": null,
    "observed_max": 223.42042500957692,
    "observed_min": 223.42042500957692,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "CachyOS Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.5.0"
  },
  "condition_id": "ae3fa19ffa95ccdf9045",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "55fe4369-c278-40de-a478-b77048438d77"
  ],
  "measured_from": "2026-03-11T07:34:34.660261+00:00",
  "measured_to": "2026-03-11T07:34:34.660261+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · monster · CPU · Linux · CachyOS Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
322.04 / 322.04
测量日期
2026-03-11 – 2026-03-11
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-11T07:33:57.563754+00:00",
        "score": 322.04384129918054,
        "source_record_id": "55fe4369-c278-40de-a478-b77048438d77"
      }
    ],
    "median": null,
    "observed_max": 322.04384129918054,
    "observed_min": 322.04384129918054,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "CachyOS Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.5.0"
  },
  "condition_id": "7f2f1f00031823ffb64c",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "55fe4369-c278-40de-a478-b77048438d77"
  ],
  "measured_from": "2026-03-11T07:33:57.563754+00:00",
  "measured_to": "2026-03-11T07:33:57.563754+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · classroom · CPU · Linux · Debian GNU/Linux · 13 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
149.19 / 149.19
测量日期
2025-11-07 – 2025-11-07
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-11-07T00:12:01.949903+00:00",
        "score": 149.1888103811856,
        "source_record_id": "04a7693f-fad6-4ad8-b56e-d659f35b147b"
      }
    ],
    "median": null,
    "observed_max": 149.1888103811856,
    "observed_min": 149.1888103811856,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Debian GNU/Linux",
      "dist_version": "13",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.5.0"
  },
  "condition_id": "ace5d9e6ce531c77131f",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "04a7693f-fad6-4ad8-b56e-d659f35b147b"
  ],
  "measured_from": "2025-11-07T00:12:01.949903+00:00",
  "measured_to": "2025-11-07T00:12:01.949903+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · junkshop · CPU · Linux · Debian GNU/Linux · 13 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
190.34 / 190.34
测量日期
2025-11-07 – 2025-11-07
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-11-07T00:11:29.434169+00:00",
        "score": 190.33590690154074,
        "source_record_id": "04a7693f-fad6-4ad8-b56e-d659f35b147b"
      }
    ],
    "median": null,
    "observed_max": 190.33590690154074,
    "observed_min": 190.33590690154074,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Debian GNU/Linux",
      "dist_version": "13",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.5.0"
  },
  "condition_id": "8568bbace153fa591e8d",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "04a7693f-fad6-4ad8-b56e-d659f35b147b"
  ],
  "measured_from": "2025-11-07T00:11:29.434169+00:00",
  "measured_to": "2025-11-07T00:11:29.434169+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · monster · CPU · Linux · Debian GNU/Linux · 13 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
306.74 / 306.74
测量日期
2025-11-07 – 2025-11-07
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-11-07T00:10:50.472119+00:00",
        "score": 306.74482330005736,
        "source_record_id": "04a7693f-fad6-4ad8-b56e-d659f35b147b"
      }
    ],
    "median": null,
    "observed_max": 306.74482330005736,
    "observed_min": 306.74482330005736,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Debian GNU/Linux",
      "dist_version": "13",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.5.0"
  },
  "condition_id": "0a491bceb4479717d692",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "04a7693f-fad6-4ad8-b56e-d659f35b147b"
  ],
  "measured_from": "2025-11-07T00:10:50.472119+00:00",
  "measured_to": "2025-11-07T00:10:50.472119+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.2.0 · classroom · CPU · Linux · Linux Mint · 22 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
146.25 / 146.25
测量日期
2024-11-15 – 2024-11-15
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2024-11-15T17:10:57.240480+00:00",
        "score": 146.2546072671806,
        "source_record_id": "e6490352-d673-4c3a-a3c4-bec403385937"
      }
    ],
    "median": null,
    "observed_max": 146.2546072671806,
    "observed_min": 146.2546072671806,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.2.0"
  },
  "condition_id": "ea4ae8fe7be4fc828c76",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "e6490352-d673-4c3a-a3c4-bec403385937"
  ],
  "measured_from": "2024-11-15T17:10:57.240480+00:00",
  "measured_to": "2024-11-15T17:10:57.240480+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.3.0 · classroom · CPU · Linux · Linux Mint · 22 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
145.29 / 145.29
测量日期
2024-12-24 – 2024-12-24
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2024-12-24T13:25:08.736084+00:00",
        "score": 145.28816547618825,
        "source_record_id": "2b743754-78e6-405d-b488-3474331f6132"
      }
    ],
    "median": null,
    "observed_max": 145.28816547618825,
    "observed_min": 145.28816547618825,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.3.0"
  },
  "condition_id": "a19b5e4da0396bc8d873",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "2b743754-78e6-405d-b488-3474331f6132"
  ],
  "measured_from": "2024-12-24T13:25:08.736084+00:00",
  "measured_to": "2024-12-24T13:25:08.736084+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.2.0 · junkshop · CPU · Linux · Linux Mint · 22 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
198.88 / 198.88
测量日期
2024-11-15 – 2024-11-15
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2024-11-15T17:10:25.241667+00:00",
        "score": 198.88123339776755,
        "source_record_id": "e6490352-d673-4c3a-a3c4-bec403385937"
      }
    ],
    "median": null,
    "observed_max": 198.88123339776755,
    "observed_min": 198.88123339776755,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.2.0"
  },
  "condition_id": "08f61002f04d737a43de",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "e6490352-d673-4c3a-a3c4-bec403385937"
  ],
  "measured_from": "2024-11-15T17:10:25.241667+00:00",
  "measured_to": "2024-11-15T17:10:25.241667+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.3.0 · junkshop · CPU · Linux · Linux Mint · 22 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
201.44 / 201.44
测量日期
2024-12-24 – 2024-12-24
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2024-12-24T13:24:36.963940+00:00",
        "score": 201.43670910122628,
        "source_record_id": "2b743754-78e6-405d-b488-3474331f6132"
      }
    ],
    "median": null,
    "observed_max": 201.43670910122628,
    "observed_min": 201.43670910122628,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.3.0"
  },
  "condition_id": "120ae6776cb9feabb0b5",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "2b743754-78e6-405d-b488-3474331f6132"
  ],
  "measured_from": "2024-12-24T13:24:36.963940+00:00",
  "measured_to": "2024-12-24T13:24:36.963940+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.2.0 · monster · CPU · Linux · Linux Mint · 22 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
311.07 / 311.07
测量日期
2024-11-15 – 2024-11-15
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2024-11-15T17:09:50.182385+00:00",
        "score": 311.0732513424534,
        "source_record_id": "e6490352-d673-4c3a-a3c4-bec403385937"
      }
    ],
    "median": null,
    "observed_max": 311.0732513424534,
    "observed_min": 311.0732513424534,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.2.0"
  },
  "condition_id": "ae2b09a7b5b02e3ecf37",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "e6490352-d673-4c3a-a3c4-bec403385937"
  ],
  "measured_from": "2024-11-15T17:09:50.182385+00:00",
  "measured_to": "2024-11-15T17:09:50.182385+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.3.0 · monster · CPU · Linux · Linux Mint · 22 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
309.65 / 309.65
测量日期
2024-12-24 – 2024-12-24
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2024-12-24T13:24:02.399815+00:00",
        "score": 309.6479869755517,
        "source_record_id": "2b743754-78e6-405d-b488-3474331f6132"
      }
    ],
    "median": null,
    "observed_max": 309.6479869755517,
    "observed_min": 309.6479869755517,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.3.0"
  },
  "condition_id": "3dba0cfdec19869fe41a",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "2b743754-78e6-405d-b488-3474331f6132"
  ],
  "measured_from": "2024-12-24T13:24:02.399815+00:00",
  "measured_to": "2024-12-24T13:24:02.399815+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

4.3.0 · classroom · CPU · Linux · Linux Mint · 22.1 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
148.86 / 152.06
测量日期
2025-02-01 – 2025-02-15
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-02-01T09:12:34.960308+00:00",
        "score": 148.86272352689005,
        "source_record_id": "1e0c0c02-4595-4546-99e1-d4c17e12ab5b"
      },
      {
        "measured_at": "2025-02-15T10:08:47.151685+00:00",
        "score": 152.0564080465623,
        "source_record_id": "9fc7b623-b403-42e4-b4d9-08f321268835"
      }
    ],
    "median": null,
    "observed_max": 152.0564080465623,
    "observed_min": 148.86272352689005,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22.1",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.3.0"
  },
  "condition_id": "4918ce0ef312195d3154",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "1e0c0c02-4595-4546-99e1-d4c17e12ab5b",
    "9fc7b623-b403-42e4-b4d9-08f321268835"
  ],
  "measured_from": "2025-02-01T09:12:34.960308+00:00",
  "measured_to": "2025-02-15T10:08:47.151685+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

4.5.0 · classroom · CPU · Linux · Linux Mint · 22.1 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
111.78 / 111.82
测量日期
2025-08-09 – 2025-08-09
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-08-09T07:30:10.879685+00:00",
        "score": 111.81918459386242,
        "source_record_id": "4e771f03-498c-4eb5-b839-122e4aa93f94"
      },
      {
        "measured_at": "2025-08-09T07:51:30.923380+00:00",
        "score": 111.7836858417535,
        "source_record_id": "163985de-b843-4f84-aaff-2ead922308de"
      }
    ],
    "median": null,
    "observed_max": 111.81918459386242,
    "observed_min": 111.7836858417535,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22.1",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.5.0"
  },
  "condition_id": "ee90fcccb75ec3598272",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "4e771f03-498c-4eb5-b839-122e4aa93f94",
    "163985de-b843-4f84-aaff-2ead922308de"
  ],
  "measured_from": "2025-08-09T07:30:10.879685+00:00",
  "measured_to": "2025-08-09T07:51:30.923380+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

4.3.0 · junkshop · CPU · Linux · Linux Mint · 22.1 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
205.32 / 207.62
测量日期
2025-02-01 – 2025-02-15
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-02-01T09:12:03.172187+00:00",
        "score": 205.31843853353277,
        "source_record_id": "1e0c0c02-4595-4546-99e1-d4c17e12ab5b"
      },
      {
        "measured_at": "2025-02-15T10:08:13.603191+00:00",
        "score": 207.6235024614199,
        "source_record_id": "9fc7b623-b403-42e4-b4d9-08f321268835"
      }
    ],
    "median": null,
    "observed_max": 207.6235024614199,
    "observed_min": 205.31843853353277,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22.1",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.3.0"
  },
  "condition_id": "a47011ef00614c328f2d",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "1e0c0c02-4595-4546-99e1-d4c17e12ab5b",
    "9fc7b623-b403-42e4-b4d9-08f321268835"
  ],
  "measured_from": "2025-02-01T09:12:03.172187+00:00",
  "measured_to": "2025-02-15T10:08:13.603191+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

4.5.0 · junkshop · CPU · Linux · Linux Mint · 22.1 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
156.35 / 158.67
测量日期
2025-08-09 – 2025-08-09
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-08-09T07:29:33.822491+00:00",
        "score": 156.34621847074223,
        "source_record_id": "4e771f03-498c-4eb5-b839-122e4aa93f94"
      },
      {
        "measured_at": "2025-08-09T07:50:53.865268+00:00",
        "score": 158.66872370110798,
        "source_record_id": "163985de-b843-4f84-aaff-2ead922308de"
      }
    ],
    "median": null,
    "observed_max": 158.66872370110798,
    "observed_min": 156.34621847074223,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22.1",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.5.0"
  },
  "condition_id": "6686a60c464acf89634f",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "4e771f03-498c-4eb5-b839-122e4aa93f94",
    "163985de-b843-4f84-aaff-2ead922308de"
  ],
  "measured_from": "2025-08-09T07:29:33.822491+00:00",
  "measured_to": "2025-08-09T07:50:53.865268+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

4.3.0 · monster · CPU · Linux · Linux Mint · 22.1 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
327.58 / 328.38
测量日期
2025-02-01 – 2025-02-15
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-02-01T09:11:28.309114+00:00",
        "score": 328.3792295825238,
        "source_record_id": "1e0c0c02-4595-4546-99e1-d4c17e12ab5b"
      },
      {
        "measured_at": "2025-02-15T10:07:38.818097+00:00",
        "score": 327.5814928041765,
        "source_record_id": "9fc7b623-b403-42e4-b4d9-08f321268835"
      }
    ],
    "median": null,
    "observed_max": 328.3792295825238,
    "observed_min": 327.5814928041765,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22.1",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.3.0"
  },
  "condition_id": "04b73ea6cc06e72bb3a3",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "1e0c0c02-4595-4546-99e1-d4c17e12ab5b",
    "9fc7b623-b403-42e4-b4d9-08f321268835"
  ],
  "measured_from": "2025-02-01T09:11:28.309114+00:00",
  "measured_to": "2025-02-15T10:07:38.818097+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

4.5.0 · monster · CPU · Linux · Linux Mint · 22.1 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
236.72 / 240.15
测量日期
2025-08-09 – 2025-08-09
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-08-09T07:28:54.387580+00:00",
        "score": 240.15467450369354,
        "source_record_id": "4e771f03-498c-4eb5-b839-122e4aa93f94"
      },
      {
        "measured_at": "2025-08-09T07:50:14.823305+00:00",
        "score": 236.72307006700092,
        "source_record_id": "163985de-b843-4f84-aaff-2ead922308de"
      }
    ],
    "median": null,
    "observed_max": 240.15467450369354,
    "observed_min": 236.72307006700092,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22.1",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.5.0"
  },
  "condition_id": "6d06dee572d80dd8e78e",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "4e771f03-498c-4eb5-b839-122e4aa93f94",
    "163985de-b843-4f84-aaff-2ead922308de"
  ],
  "measured_from": "2025-08-09T07:28:54.387580+00:00",
  "measured_to": "2025-08-09T07:50:14.823305+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.4.0 · classroom · CPU · Linux · Pop!_OS · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
139.06 / 139.06
测量日期
2025-05-19 – 2025-05-19
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-05-19T20:52:14.751148+00:00",
        "score": 139.06002539053262,
        "source_record_id": "8a313848-34a7-4314-b7e6-5fa4e88f5f5b"
      }
    ],
    "median": null,
    "observed_max": 139.06002539053262,
    "observed_min": 139.06002539053262,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Pop!_OS",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.4.0"
  },
  "condition_id": "9fc088872f01ff8cf5b2",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "8a313848-34a7-4314-b7e6-5fa4e88f5f5b"
  ],
  "measured_from": "2025-05-19T20:52:14.751148+00:00",
  "measured_to": "2025-05-19T20:52:14.751148+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · classroom · CPU · Linux · Pop!_OS · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
149.39 / 149.39
测量日期
2025-11-07 – 2025-11-07
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-11-07T17:50:54.914172+00:00",
        "score": 149.39405965973143,
        "source_record_id": "57a3f4ff-a0bb-44ae-900e-ab2b19daffe9"
      }
    ],
    "median": null,
    "observed_max": 149.39405965973143,
    "observed_min": 149.39405965973143,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Pop!_OS",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.5.0"
  },
  "condition_id": "86f1f94480d9e98bab1a",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "57a3f4ff-a0bb-44ae-900e-ab2b19daffe9"
  ],
  "measured_from": "2025-11-07T17:50:54.914172+00:00",
  "measured_to": "2025-11-07T17:50:54.914172+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.4.0 · junkshop · CPU · Linux · Pop!_OS · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
171.27 / 171.27
测量日期
2025-05-19 – 2025-05-19
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-05-19T20:51:42.167619+00:00",
        "score": 171.27072923491772,
        "source_record_id": "8a313848-34a7-4314-b7e6-5fa4e88f5f5b"
      }
    ],
    "median": null,
    "observed_max": 171.27072923491772,
    "observed_min": 171.27072923491772,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Pop!_OS",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.4.0"
  },
  "condition_id": "e1a402bcd880c275a6df",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "8a313848-34a7-4314-b7e6-5fa4e88f5f5b"
  ],
  "measured_from": "2025-05-19T20:51:42.167619+00:00",
  "measured_to": "2025-05-19T20:51:42.167619+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · junkshop · CPU · Linux · Pop!_OS · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
191.14 / 191.14
测量日期
2025-11-07 – 2025-11-07
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-11-07T17:50:22.501264+00:00",
        "score": 191.13504495532382,
        "source_record_id": "57a3f4ff-a0bb-44ae-900e-ab2b19daffe9"
      }
    ],
    "median": null,
    "observed_max": 191.13504495532382,
    "observed_min": 191.13504495532382,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Pop!_OS",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.5.0"
  },
  "condition_id": "61ab66bcef973b7dbbb8",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "57a3f4ff-a0bb-44ae-900e-ab2b19daffe9"
  ],
  "measured_from": "2025-11-07T17:50:22.501264+00:00",
  "measured_to": "2025-11-07T17:50:22.501264+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.4.0 · monster · CPU · Linux · Pop!_OS · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
266.48 / 266.48
测量日期
2025-05-19 – 2025-05-19
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-05-19T20:51:06.533325+00:00",
        "score": 266.4798921034849,
        "source_record_id": "8a313848-34a7-4314-b7e6-5fa4e88f5f5b"
      }
    ],
    "median": null,
    "observed_max": 266.4798921034849,
    "observed_min": 266.4798921034849,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Pop!_OS",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.4.0"
  },
  "condition_id": "d0ed1abfe3cb8a8d9b90",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "8a313848-34a7-4314-b7e6-5fa4e88f5f5b"
  ],
  "measured_from": "2025-05-19T20:51:06.533325+00:00",
  "measured_to": "2025-05-19T20:51:06.533325+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · monster · CPU · Linux · Pop!_OS · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
306.55 / 306.55
测量日期
2025-11-07 – 2025-11-07
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-11-07T17:49:43.969453+00:00",
        "score": 306.54983711763185,
        "source_record_id": "57a3f4ff-a0bb-44ae-900e-ab2b19daffe9"
      }
    ],
    "median": null,
    "observed_max": 306.54983711763185,
    "observed_min": 306.54983711763185,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Pop!_OS",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.5.0"
  },
  "condition_id": "0d2c825b596d56fd7c74",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "57a3f4ff-a0bb-44ae-900e-ab2b19daffe9"
  ],
  "measured_from": "2025-11-07T17:49:43.969453+00:00",
  "measured_to": "2025-11-07T17:49:43.969453+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.3.0 · classroom · CPU · Linux · Ubuntu · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
109.86 / 109.86
测量日期
2025-10-24 – 2025-10-24
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-10-24T15:57:38.468287+00:00",
        "score": 109.86289955235094,
        "source_record_id": "43821ccd-d68a-4f10-aaf8-9cb1e61c8e6e"
      }
    ],
    "median": null,
    "observed_max": 109.86289955235094,
    "observed_min": 109.86289955235094,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.3.0"
  },
  "condition_id": "4429972c2356c05114aa",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "43821ccd-d68a-4f10-aaf8-9cb1e61c8e6e"
  ],
  "measured_from": "2025-10-24T15:57:38.468287+00:00",
  "measured_to": "2025-10-24T15:57:38.468287+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

4.4.0 · classroom · CPU · Linux · Ubuntu · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
148.93 / 152.74
测量日期
2025-04-08 – 2025-05-28
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-04-08T13:54:58.507335+00:00",
        "score": 152.74382597512476,
        "source_record_id": "281ab126-c7e9-415c-9c75-459a573dfa57"
      },
      {
        "measured_at": "2025-04-18T10:33:00.686165+00:00",
        "score": 148.92723402281854,
        "source_record_id": "2bc483e0-e5f3-4a02-83bd-88e6e663004c"
      },
      {
        "measured_at": "2025-05-28T11:25:41.570009+00:00",
        "score": 151.07796087133133,
        "source_record_id": "0726f178-3d6e-49ae-af9a-b3c4195e3551"
      }
    ],
    "median": null,
    "observed_max": 152.74382597512476,
    "observed_min": 148.92723402281854,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.4.0"
  },
  "condition_id": "5d4e985dd62ad9a354d3",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "281ab126-c7e9-415c-9c75-459a573dfa57",
    "2bc483e0-e5f3-4a02-83bd-88e6e663004c",
    "0726f178-3d6e-49ae-af9a-b3c4195e3551"
  ],
  "measured_from": "2025-04-08T13:54:58.507335+00:00",
  "measured_to": "2025-05-28T11:25:41.570009+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 7

样本不足 · 仅个别结果n = 7

4.5.0 · classroom · CPU · Linux · Ubuntu · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
103.24 / 151.08
测量日期
2025-09-30 – 2026-03-10
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-09-30T19:12:58.423687+00:00",
        "score": 150.28729591825638,
        "source_record_id": "1e93b7d1-2ef5-4884-9e8b-31ebc7006a20"
      },
      {
        "measured_at": "2025-10-24T15:52:04.432910+00:00",
        "score": 103.24135840876212,
        "source_record_id": "79351454-142d-4a74-bc17-90a117c99792"
      },
      {
        "measured_at": "2025-11-14T16:02:10.749468+00:00",
        "score": 103.24407828654309,
        "source_record_id": "e6bad641-53b5-47d4-a42f-2b2a4fee84cc"
      },
      {
        "measured_at": "2025-12-15T19:07:22.243648+00:00",
        "score": 148.09585263817624,
        "source_record_id": "bf8e1fee-b0f3-4dc6-a0f2-6695415f6800"
      },
      {
        "measured_at": "2025-12-22T17:19:53.550954+00:00",
        "score": 148.58640834556363,
        "source_record_id": "24733f72-efb2-4605-bc79-dceee028ffe1"
      },
      {
        "measured_at": "2026-02-02T12:22:25.785611+00:00",
        "score": 151.07784100223452,
        "source_record_id": "24bee6c6-a59f-4724-bd04-4db6265cdf30"
      },
      {
        "measured_at": "2026-03-10T11:33:57.515448+00:00",
        "score": 129.6877750441094,
        "source_record_id": "4891be87-ffea-4870-bc9a-cd50ed856175"
      }
    ],
    "median": null,
    "observed_max": 151.07784100223452,
    "observed_min": 103.24135840876212,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 7,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.5.0"
  },
  "condition_id": "99f3f661dc4143252a95",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "1e93b7d1-2ef5-4884-9e8b-31ebc7006a20",
    "79351454-142d-4a74-bc17-90a117c99792",
    "e6bad641-53b5-47d4-a42f-2b2a4fee84cc"
  ],
  "measured_from": "2025-09-30T19:12:58.423687+00:00",
  "measured_to": "2026-03-10T11:33:57.515448+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 7,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.3.0 · junkshop · CPU · Linux · Ubuntu · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
152.62 / 152.62
测量日期
2025-10-24 – 2025-10-24
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-10-24T15:57:00.816055+00:00",
        "score": 152.62099301758957,
        "source_record_id": "43821ccd-d68a-4f10-aaf8-9cb1e61c8e6e"
      }
    ],
    "median": null,
    "observed_max": 152.62099301758957,
    "observed_min": 152.62099301758957,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.3.0"
  },
  "condition_id": "292645e7e87e41e8e4e3",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "43821ccd-d68a-4f10-aaf8-9cb1e61c8e6e"
  ],
  "measured_from": "2025-10-24T15:57:00.816055+00:00",
  "measured_to": "2025-10-24T15:57:00.816055+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

4.4.0 · junkshop · CPU · Linux · Ubuntu · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
192.44 / 203.75
测量日期
2025-04-08 – 2025-05-28
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-04-08T13:54:24.923098+00:00",
        "score": 203.74573679354256,
        "source_record_id": "281ab126-c7e9-415c-9c75-459a573dfa57"
      },
      {
        "measured_at": "2025-04-18T10:32:28.504600+00:00",
        "score": 201.71043794265205,
        "source_record_id": "2bc483e0-e5f3-4a02-83bd-88e6e663004c"
      },
      {
        "measured_at": "2025-05-28T11:25:09.324683+00:00",
        "score": 192.43838177572815,
        "source_record_id": "0726f178-3d6e-49ae-af9a-b3c4195e3551"
      }
    ],
    "median": null,
    "observed_max": 203.74573679354256,
    "observed_min": 192.43838177572815,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.4.0"
  },
  "condition_id": "28cd67ed56eff31ed5fb",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "281ab126-c7e9-415c-9c75-459a573dfa57",
    "2bc483e0-e5f3-4a02-83bd-88e6e663004c",
    "0726f178-3d6e-49ae-af9a-b3c4195e3551"
  ],
  "measured_from": "2025-04-08T13:54:24.923098+00:00",
  "measured_to": "2025-05-28T11:25:09.324683+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 7

样本不足 · 仅个别结果n = 7

4.5.0 · junkshop · CPU · Linux · Ubuntu · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
136.16 / 200.27
测量日期
2025-09-30 – 2026-03-10
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-09-30T19:12:26.212302+00:00",
        "score": 195.71830264700017,
        "source_record_id": "1e93b7d1-2ef5-4884-9e8b-31ebc7006a20"
      },
      {
        "measured_at": "2025-10-24T15:51:32.100715+00:00",
        "score": 146.5696270100093,
        "source_record_id": "79351454-142d-4a74-bc17-90a117c99792"
      },
      {
        "measured_at": "2025-11-14T16:01:37.960941+00:00",
        "score": 136.156880615608,
        "source_record_id": "e6bad641-53b5-47d4-a42f-2b2a4fee84cc"
      },
      {
        "measured_at": "2025-12-15T19:06:50.035957+00:00",
        "score": 194.69671962847892,
        "source_record_id": "bf8e1fee-b0f3-4dc6-a0f2-6695415f6800"
      },
      {
        "measured_at": "2025-12-22T17:19:21.406373+00:00",
        "score": 184.05290376186744,
        "source_record_id": "24733f72-efb2-4605-bc79-dceee028ffe1"
      },
      {
        "measured_at": "2026-02-02T12:21:54.070502+00:00",
        "score": 200.27426999450236,
        "source_record_id": "24bee6c6-a59f-4724-bd04-4db6265cdf30"
      },
      {
        "measured_at": "2026-03-10T11:33:24.696840+00:00",
        "score": 182.53755427904724,
        "source_record_id": "4891be87-ffea-4870-bc9a-cd50ed856175"
      }
    ],
    "median": null,
    "observed_max": 200.27426999450236,
    "observed_min": 136.156880615608,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 7,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.5.0"
  },
  "condition_id": "7dbfb7a54b162b94fcef",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "1e93b7d1-2ef5-4884-9e8b-31ebc7006a20",
    "79351454-142d-4a74-bc17-90a117c99792",
    "e6bad641-53b5-47d4-a42f-2b2a4fee84cc"
  ],
  "measured_from": "2025-09-30T19:12:26.212302+00:00",
  "measured_to": "2026-03-10T11:33:24.696840+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 7,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.3.0 · monster · CPU · Linux · Ubuntu · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
230.89 / 230.89
测量日期
2025-10-24 – 2025-10-24
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-10-24T15:56:25.341259+00:00",
        "score": 230.88731786078068,
        "source_record_id": "43821ccd-d68a-4f10-aaf8-9cb1e61c8e6e"
      }
    ],
    "median": null,
    "observed_max": 230.88731786078068,
    "observed_min": 230.88731786078068,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.3.0"
  },
  "condition_id": "dd62b5d9d97d82092c61",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "43821ccd-d68a-4f10-aaf8-9cb1e61c8e6e"
  ],
  "measured_from": "2025-10-24T15:56:25.341259+00:00",
  "measured_to": "2025-10-24T15:56:25.341259+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

4.4.0 · monster · CPU · Linux · Ubuntu · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
291.9 / 292.59
测量日期
2025-04-08 – 2025-05-28
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-04-08T13:53:50.247909+00:00",
        "score": 291.9014637958713,
        "source_record_id": "281ab126-c7e9-415c-9c75-459a573dfa57"
      },
      {
        "measured_at": "2025-04-18T10:31:54.415525+00:00",
        "score": 292.58603895527676,
        "source_record_id": "2bc483e0-e5f3-4a02-83bd-88e6e663004c"
      },
      {
        "measured_at": "2025-05-28T11:24:34.158858+00:00",
        "score": 291.96556448231627,
        "source_record_id": "0726f178-3d6e-49ae-af9a-b3c4195e3551"
      }
    ],
    "median": null,
    "observed_max": 292.58603895527676,
    "observed_min": 291.9014637958713,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.4.0"
  },
  "condition_id": "27d8f33eaa96b375bb7f",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "281ab126-c7e9-415c-9c75-459a573dfa57",
    "2bc483e0-e5f3-4a02-83bd-88e6e663004c",
    "0726f178-3d6e-49ae-af9a-b3c4195e3551"
  ],
  "measured_from": "2025-04-08T13:53:50.247909+00:00",
  "measured_to": "2025-05-28T11:24:34.158858+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 7

样本不足 · 仅个别结果n = 7

4.5.0 · monster · CPU · Linux · Ubuntu · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
212.46 / 313.74
测量日期
2025-09-30 – 2026-03-10
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-09-30T19:11:48.395184+00:00",
        "score": 309.39714063233856,
        "source_record_id": "1e93b7d1-2ef5-4884-9e8b-31ebc7006a20"
      },
      {
        "measured_at": "2025-10-24T15:50:53.466134+00:00",
        "score": 212.46046595215353,
        "source_record_id": "79351454-142d-4a74-bc17-90a117c99792"
      },
      {
        "measured_at": "2025-11-14T16:00:58.042769+00:00",
        "score": 217.617710967144,
        "source_record_id": "e6bad641-53b5-47d4-a42f-2b2a4fee84cc"
      },
      {
        "measured_at": "2025-12-15T19:06:11.999653+00:00",
        "score": 307.23012671906946,
        "source_record_id": "bf8e1fee-b0f3-4dc6-a0f2-6695415f6800"
      },
      {
        "measured_at": "2025-12-22T17:18:41.385309+00:00",
        "score": 303.49364109274615,
        "source_record_id": "24733f72-efb2-4605-bc79-dceee028ffe1"
      },
      {
        "measured_at": "2026-02-02T12:21:16.513503+00:00",
        "score": 313.7403257715852,
        "source_record_id": "24bee6c6-a59f-4724-bd04-4db6265cdf30"
      },
      {
        "measured_at": "2026-03-10T11:32:43.018957+00:00",
        "score": 301.20540156697905,
        "source_record_id": "4891be87-ffea-4870-bc9a-cd50ed856175"
      }
    ],
    "median": null,
    "observed_max": 313.7403257715852,
    "observed_min": 212.46046595215353,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 7,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.5.0"
  },
  "condition_id": "f098c4e7fb42188d5477",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "1e93b7d1-2ef5-4884-9e8b-31ebc7006a20",
    "79351454-142d-4a74-bc17-90a117c99792",
    "e6bad641-53b5-47d4-a42f-2b2a4fee84cc"
  ],
  "measured_from": "2025-09-30T19:11:48.395184+00:00",
  "measured_to": "2026-03-10T11:32:43.018957+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 7,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

4.5.0 · classroom · CPU · Linux · Ubuntu · 25.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
140.89 / 145.34
测量日期
2025-08-20 – 2025-09-23
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-08-20T15:07:43.735493+00:00",
        "score": 140.8929907120317,
        "source_record_id": "7dedcae8-9058-490a-bf2f-39b5b2df5aa5"
      },
      {
        "measured_at": "2025-09-23T01:49:38.385328+00:00",
        "score": 142.91082997193791,
        "source_record_id": "2fd1087c-fcf8-4c12-8d88-6aea87ba6a29"
      },
      {
        "measured_at": "2025-09-23T19:39:02.205824+00:00",
        "score": 145.34392694150026,
        "source_record_id": "bfc70791-80d5-42e3-a86f-5e2db6516ca9"
      }
    ],
    "median": null,
    "observed_max": 145.34392694150026,
    "observed_min": 140.8929907120317,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "25.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.5.0"
  },
  "condition_id": "a69cc94f62c6a3c5d27a",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "7dedcae8-9058-490a-bf2f-39b5b2df5aa5",
    "2fd1087c-fcf8-4c12-8d88-6aea87ba6a29",
    "bfc70791-80d5-42e3-a86f-5e2db6516ca9"
  ],
  "measured_from": "2025-08-20T15:07:43.735493+00:00",
  "measured_to": "2025-09-23T19:39:02.205824+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

4.5.0 · junkshop · CPU · Linux · Ubuntu · 25.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
179.87 / 196.18
测量日期
2025-08-20 – 2025-09-23
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-08-20T15:07:10.717041+00:00",
        "score": 196.18275262302782,
        "source_record_id": "7dedcae8-9058-490a-bf2f-39b5b2df5aa5"
      },
      {
        "measured_at": "2025-09-23T01:49:06.011042+00:00",
        "score": 179.870372799891,
        "source_record_id": "2fd1087c-fcf8-4c12-8d88-6aea87ba6a29"
      },
      {
        "measured_at": "2025-09-23T19:38:29.914357+00:00",
        "score": 179.8766769211826,
        "source_record_id": "bfc70791-80d5-42e3-a86f-5e2db6516ca9"
      }
    ],
    "median": null,
    "observed_max": 196.18275262302782,
    "observed_min": 179.870372799891,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "25.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.5.0"
  },
  "condition_id": "6a612fd40d0f5a397ca9",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "7dedcae8-9058-490a-bf2f-39b5b2df5aa5",
    "2fd1087c-fcf8-4c12-8d88-6aea87ba6a29",
    "bfc70791-80d5-42e3-a86f-5e2db6516ca9"
  ],
  "measured_from": "2025-08-20T15:07:10.717041+00:00",
  "measured_to": "2025-09-23T19:38:29.914357+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

4.5.0 · monster · CPU · Linux · Ubuntu · 25.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
293.43 / 300.8
测量日期
2025-08-20 – 2025-09-23
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-08-20T15:06:32.743373+00:00",
        "score": 300.80337409750274,
        "source_record_id": "7dedcae8-9058-490a-bf2f-39b5b2df5aa5"
      },
      {
        "measured_at": "2025-09-23T01:48:23.848281+00:00",
        "score": 293.4264543774733,
        "source_record_id": "2fd1087c-fcf8-4c12-8d88-6aea87ba6a29"
      },
      {
        "measured_at": "2025-09-23T19:37:48.642329+00:00",
        "score": 297.0503893154364,
        "source_record_id": "bfc70791-80d5-42e3-a86f-5e2db6516ca9"
      }
    ],
    "median": null,
    "observed_max": 300.80337409750274,
    "observed_min": 293.4264543774733,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "25.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.5.0"
  },
  "condition_id": "09cd7749e9348f2dd853",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "7dedcae8-9058-490a-bf2f-39b5b2df5aa5",
    "2fd1087c-fcf8-4c12-8d88-6aea87ba6a29",
    "bfc70791-80d5-42e3-a86f-5e2db6516ca9"
  ],
  "measured_from": "2025-08-20T15:06:32.743373+00:00",
  "measured_to": "2025-09-23T19:37:48.642329+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 4

样本不足 · 仅个别结果n = 4

4.5.0 · classroom · CPU · Linux · Ubuntu · 25.10 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
143.53 / 151.23
测量日期
2025-11-17 – 2026-02-06
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-11-17T18:52:39.950811+00:00",
        "score": 146.45339190774712,
        "source_record_id": "f2dce375-f61c-44a0-bea0-08e6b58119d6"
      },
      {
        "measured_at": "2025-12-09T07:12:34.620398+00:00",
        "score": 150.23001500158713,
        "source_record_id": "4e40a8f1-aa7a-4d5a-ac0f-77bc20cb916a"
      },
      {
        "measured_at": "2025-12-16T09:57:25.629196+00:00",
        "score": 143.52501164174623,
        "source_record_id": "29e73f56-150a-4a49-b0a9-7306200ba0a5"
      },
      {
        "measured_at": "2026-02-06T21:10:04.320431+00:00",
        "score": 151.23080985491595,
        "source_record_id": "a99d460f-7135-4359-99bb-9233b58997b8"
      }
    ],
    "median": null,
    "observed_max": 151.23080985491595,
    "observed_min": 143.52501164174623,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 4,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "25.10",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.5.0"
  },
  "condition_id": "34842032ae5b431d518a",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "f2dce375-f61c-44a0-bea0-08e6b58119d6",
    "4e40a8f1-aa7a-4d5a-ac0f-77bc20cb916a",
    "29e73f56-150a-4a49-b0a9-7306200ba0a5"
  ],
  "measured_from": "2025-11-17T18:52:39.950811+00:00",
  "measured_to": "2026-02-06T21:10:04.320431+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 4,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 4

样本不足 · 仅个别结果n = 4

4.5.0 · junkshop · CPU · Linux · Ubuntu · 25.10 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
186.54 / 209.26
测量日期
2025-11-17 – 2026-02-06
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-11-17T18:52:07.437892+00:00",
        "score": 186.53650051371255,
        "source_record_id": "f2dce375-f61c-44a0-bea0-08e6b58119d6"
      },
      {
        "measured_at": "2025-12-09T07:12:02.372147+00:00",
        "score": 209.25661095428745,
        "source_record_id": "4e40a8f1-aa7a-4d5a-ac0f-77bc20cb916a"
      },
      {
        "measured_at": "2025-12-16T09:56:53.160122+00:00",
        "score": 200.28916334820684,
        "source_record_id": "29e73f56-150a-4a49-b0a9-7306200ba0a5"
      },
      {
        "measured_at": "2026-02-06T21:09:32.273616+00:00",
        "score": 204.81406511874295,
        "source_record_id": "a99d460f-7135-4359-99bb-9233b58997b8"
      }
    ],
    "median": null,
    "observed_max": 209.25661095428745,
    "observed_min": 186.53650051371255,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 4,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "25.10",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.5.0"
  },
  "condition_id": "19bd2956681550febc9b",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "f2dce375-f61c-44a0-bea0-08e6b58119d6",
    "4e40a8f1-aa7a-4d5a-ac0f-77bc20cb916a",
    "29e73f56-150a-4a49-b0a9-7306200ba0a5"
  ],
  "measured_from": "2025-11-17T18:52:07.437892+00:00",
  "measured_to": "2026-02-06T21:09:32.273616+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 4,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 4

样本不足 · 仅个别结果n = 4

4.5.0 · monster · CPU · Linux · Ubuntu · 25.10 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
298.99 / 314.52
测量日期
2025-11-17 – 2026-02-06
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-11-17T18:51:27.532754+00:00",
        "score": 298.98701207063726,
        "source_record_id": "f2dce375-f61c-44a0-bea0-08e6b58119d6"
      },
      {
        "measured_at": "2025-12-09T07:11:24.519600+00:00",
        "score": 313.94991601839746,
        "source_record_id": "4e40a8f1-aa7a-4d5a-ac0f-77bc20cb916a"
      },
      {
        "measured_at": "2025-12-16T09:56:15.180696+00:00",
        "score": 302.7675644444247,
        "source_record_id": "29e73f56-150a-4a49-b0a9-7306200ba0a5"
      },
      {
        "measured_at": "2026-02-06T21:08:54.558449+00:00",
        "score": 314.52216220506995,
        "source_record_id": "a99d460f-7135-4359-99bb-9233b58997b8"
      }
    ],
    "median": null,
    "observed_max": 314.52216220506995,
    "observed_min": 298.98701207063726,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 4,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "25.10",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.5.0"
  },
  "condition_id": "6cf215d51c70250f0905",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "f2dce375-f61c-44a0-bea0-08e6b58119d6",
    "4e40a8f1-aa7a-4d5a-ac0f-77bc20cb916a",
    "29e73f56-150a-4a49-b0a9-7306200ba0a5"
  ],
  "measured_from": "2025-11-17T18:51:27.532754+00:00",
  "measured_to": "2026-02-06T21:08:54.558449+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 4,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.3.0 · classroom · CPU · Windows · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
123.67 / 123.67
测量日期
2026-04-04 – 2026-04-04
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-04-04T10:34:40.354152+00:00",
        "score": 123.6707730542695,
        "source_record_id": "15401086-a60e-4997-9cba-2f8f4f0d641d"
      }
    ],
    "median": null,
    "observed_max": 123.6707730542695,
    "observed_min": 123.6707730542695,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.3.0"
  },
  "condition_id": "1f42a05a55829930bf15",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "15401086-a60e-4997-9cba-2f8f4f0d641d"
  ],
  "measured_from": "2026-04-04T10:34:40.354152+00:00",
  "measured_to": "2026-04-04T10:34:40.354152+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.4.0 · classroom · CPU · Windows · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
115.72 / 115.72
测量日期
2026-03-16 – 2026-03-16
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-16T05:53:53.127558+00:00",
        "score": 115.71787258684843,
        "source_record_id": "86c43309-8a9e-40ab-ba32-e1258178332e"
      }
    ],
    "median": null,
    "observed_max": 115.71787258684843,
    "observed_min": 115.71787258684843,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.4.0"
  },
  "condition_id": "f0575026f8b63440afd0",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "86c43309-8a9e-40ab-ba32-e1258178332e"
  ],
  "measured_from": "2026-03-16T05:53:53.127558+00:00",
  "measured_to": "2026-03-16T05:53:53.127558+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

4.5.0 · classroom · CPU · Windows · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
121.86 / 124.64
测量日期
2026-03-12 – 2026-05-20
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-12T20:43:58.153726+00:00",
        "score": 121.86285941263101,
        "source_record_id": "3ce8aedf-0d17-45d3-9b91-edc4285c87d5"
      },
      {
        "measured_at": "2026-05-20T17:44:52.096330+00:00",
        "score": 124.64065141423035,
        "source_record_id": "3bd67c5d-9a8f-4ac2-90df-5666cf9aa5ca"
      }
    ],
    "median": null,
    "observed_max": 124.64065141423035,
    "observed_min": 121.86285941263101,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.5.0"
  },
  "condition_id": "c508acfc54831d50e823",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "3ce8aedf-0d17-45d3-9b91-edc4285c87d5",
    "3bd67c5d-9a8f-4ac2-90df-5666cf9aa5ca"
  ],
  "measured_from": "2026-03-12T20:43:58.153726+00:00",
  "measured_to": "2026-05-20T17:44:52.096330+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender scene rendering

128.7624637030906 samples/min

运行数: 10

暂定中位数 · 样本较少n = 10

5.0.0 · classroom · CPU · Windows · 1P · 24 cores · 24 threads

128.76 暂定中位数

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
105.64 / 141.64
测量日期
2026-03-12 – 2026-09-03
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 128.7624637030906,
    "observed_max": 141.641025760428,
    "observed_min": 105.64111929420466,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 10,
    "sample_status": "provisional",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "5.0.0"
  },
  "condition_id": "de6f6e45c7fdccd55a0e",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "b70cb284-7e7d-47ee-8ea5-ee4433de6c35",
    "ed66937f-f914-432b-a4a5-d4beb0b1b09a",
    "f7cb3c47-4132-4e1f-98c2-48c9907c5d78"
  ],
  "measured_from": "2026-03-12T20:26:58.791546+00:00",
  "measured_to": "2026-09-03T00:31:42.738941+00:00",
  "median": 128.7624637030906,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 10,
  "sample_status": "provisional"
}

Blender scene rendering

146.59758650108446 samples/min

运行数: 24

暂定中位数 · 样本较少n = 24

5.1.0 · classroom · CPU · Windows · 1P · 24 cores · 24 threads

146.6 暂定中位数

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
100.05 / 155.24
测量日期
2026-03-18 – 2026-06-18
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 146.59758650108446,
    "observed_max": 155.23580670395094,
    "observed_min": 100.04728131902542,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 24,
    "sample_status": "provisional",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "5.1.0"
  },
  "condition_id": "4db34371493150c74b47",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "e87bc426-c7af-4d98-bda8-2ea61430f265",
    "d07c1458-4a89-479b-9862-f024f3518eef",
    "cedcb815-247f-4484-bb86-e08606eda98d"
  ],
  "measured_from": "2026-03-18T04:50:26.875298+00:00",
  "measured_to": "2026-06-18T07:36:13.258340+00:00",
  "median": 146.59758650108446,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 24,
  "sample_status": "provisional"
}

Blender scene rendering

146.46615731812784 samples/min

运行数: 41

中位数与四分位数n = 41

5.1.1 · classroom · CPU · Windows · 1P · 24 cores · 24 threads

Box: middle 50% (P25–P75)Vertical line: median (P50)

P25
134.36
P50 · 中位数
146.47
P75
148.97

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
88.26 / 160.11
测量日期
2026-04-17 – 2026-09-08
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 146.46615731812784,
    "observed_max": 160.11362136983132,
    "observed_min": 88.26491478463802,
    "percentiles": {
      "p25": 134.36251122365107,
      "p50": 146.46615731812784,
      "p75": 148.97368402740423
    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 41,
    "sample_status": "quartiles",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "5.1.1"
  },
  "condition_id": "d5e4a0e5f277975ec7c9",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "48f9806e-2324-4599-b725-1e19201d52f6",
    "eee38641-1c46-48fc-be1f-ef089224de26",
    "277b69df-44ed-4c56-b624-912aec362bb4"
  ],
  "measured_from": "2026-04-17T15:54:50.886929+00:00",
  "measured_to": "2026-09-08T01:54:23.414685+00:00",
  "median": 146.46615731812784,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "percentiles": {
    "p25": 134.36251122365107,
    "p50": 146.46615731812784,
    "p75": 148.97368402740423
  },
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 41,
  "sample_status": "quartiles"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.3.0 · junkshop · CPU · Windows · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
166.3 / 166.3
测量日期
2026-04-04 – 2026-04-04
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-04-04T10:34:03.623664+00:00",
        "score": 166.2951586629038,
        "source_record_id": "15401086-a60e-4997-9cba-2f8f4f0d641d"
      }
    ],
    "median": null,
    "observed_max": 166.2951586629038,
    "observed_min": 166.2951586629038,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.3.0"
  },
  "condition_id": "82b05d972c1671cdfcf1",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "15401086-a60e-4997-9cba-2f8f4f0d641d"
  ],
  "measured_from": "2026-04-04T10:34:03.623664+00:00",
  "measured_to": "2026-04-04T10:34:03.623664+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.4.0 · junkshop · CPU · Windows · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
148.08 / 148.08
测量日期
2026-03-16 – 2026-03-16
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-16T05:53:13.629892+00:00",
        "score": 148.07566785087715,
        "source_record_id": "86c43309-8a9e-40ab-ba32-e1258178332e"
      }
    ],
    "median": null,
    "observed_max": 148.07566785087715,
    "observed_min": 148.07566785087715,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.4.0"
  },
  "condition_id": "fa3eac81df1cb33365ae",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "86c43309-8a9e-40ab-ba32-e1258178332e"
  ],
  "measured_from": "2026-03-16T05:53:13.629892+00:00",
  "measured_to": "2026-03-16T05:53:13.629892+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

4.5.0 · junkshop · CPU · Windows · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
153.98 / 169.18
测量日期
2026-03-12 – 2026-05-20
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-12T20:43:19.879194+00:00",
        "score": 153.97598791991842,
        "source_record_id": "3ce8aedf-0d17-45d3-9b91-edc4285c87d5"
      },
      {
        "measured_at": "2026-05-20T17:44:14.003412+00:00",
        "score": 169.17583735156353,
        "source_record_id": "3bd67c5d-9a8f-4ac2-90df-5666cf9aa5ca"
      }
    ],
    "median": null,
    "observed_max": 169.17583735156353,
    "observed_min": 153.97598791991842,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.5.0"
  },
  "condition_id": "54aa2834cbbd02a72a18",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "3ce8aedf-0d17-45d3-9b91-edc4285c87d5",
    "3bd67c5d-9a8f-4ac2-90df-5666cf9aa5ca"
  ],
  "measured_from": "2026-03-12T20:43:19.879194+00:00",
  "measured_to": "2026-05-20T17:44:14.003412+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender scene rendering

172.0810449219619 samples/min

运行数: 10

暂定中位数 · 样本较少n = 10

5.0.0 · junkshop · CPU · Windows · 1P · 24 cores · 24 threads

172.08 暂定中位数

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
149.49 / 199.21
测量日期
2026-03-12 – 2026-09-03
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 172.0810449219619,
    "observed_max": 199.20640245432807,
    "observed_min": 149.48806239474368,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 10,
    "sample_status": "provisional",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "5.0.0"
  },
  "condition_id": "0d755fa2645e31aa3b46",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "b70cb284-7e7d-47ee-8ea5-ee4433de6c35",
    "ed66937f-f914-432b-a4a5-d4beb0b1b09a",
    "f7cb3c47-4132-4e1f-98c2-48c9907c5d78"
  ],
  "measured_from": "2026-03-12T20:26:21.097061+00:00",
  "measured_to": "2026-09-03T00:31:06.604541+00:00",
  "median": 172.0810449219619,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 10,
  "sample_status": "provisional"
}

Blender scene rendering

195.93198142542064 samples/min

运行数: 24

暂定中位数 · 样本较少n = 24

5.1.0 · junkshop · CPU · Windows · 1P · 24 cores · 24 threads

195.93 暂定中位数

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
164.93 / 216.75
测量日期
2026-03-18 – 2026-06-18
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 195.93198142542064,
    "observed_max": 216.74747414623536,
    "observed_min": 164.92507334694903,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 24,
    "sample_status": "provisional",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "5.1.0"
  },
  "condition_id": "e20b01c530ae57b82482",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "e87bc426-c7af-4d98-bda8-2ea61430f265",
    "d07c1458-4a89-479b-9862-f024f3518eef",
    "cedcb815-247f-4484-bb86-e08606eda98d"
  ],
  "measured_from": "2026-03-18T04:49:47.760052+00:00",
  "measured_to": "2026-06-18T07:35:34.796216+00:00",
  "median": 195.93198142542064,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 24,
  "sample_status": "provisional"
}

Blender scene rendering

197.1068071525724 samples/min

运行数: 41

中位数与四分位数n = 41

5.1.1 · junkshop · CPU · Windows · 1P · 24 cores · 24 threads

Box: middle 50% (P25–P75)Vertical line: median (P50)

P25
180.17
P50 · 中位数
197.11
P75
203.32

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
122.98 / 222.3
测量日期
2026-04-17 – 2026-09-08
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 197.1068071525724,
    "observed_max": 222.3038439014166,
    "observed_min": 122.98419444974222,
    "percentiles": {
      "p25": 180.16946517003836,
      "p50": 197.1068071525724,
      "p75": 203.3158624544271
    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 41,
    "sample_status": "quartiles",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "5.1.1"
  },
  "condition_id": "6a10beb260a6e4fad00f",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "48f9806e-2324-4599-b725-1e19201d52f6",
    "eee38641-1c46-48fc-be1f-ef089224de26",
    "277b69df-44ed-4c56-b624-912aec362bb4"
  ],
  "measured_from": "2026-04-17T15:54:12.229462+00:00",
  "measured_to": "2026-09-08T01:53:47.649466+00:00",
  "median": 197.1068071525724,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "percentiles": {
    "p25": 180.16946517003836,
    "p50": 197.1068071525724,
    "p75": 203.3158624544271
  },
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 41,
  "sample_status": "quartiles"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.3.0 · monster · CPU · Windows · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
252.1 / 252.1
测量日期
2026-04-04 – 2026-04-04
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-04-04T10:33:24.898768+00:00",
        "score": 252.09974003761434,
        "source_record_id": "15401086-a60e-4997-9cba-2f8f4f0d641d"
      }
    ],
    "median": null,
    "observed_max": 252.09974003761434,
    "observed_min": 252.09974003761434,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.3.0"
  },
  "condition_id": "4537dadd30e1cfabf36e",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "15401086-a60e-4997-9cba-2f8f4f0d641d"
  ],
  "measured_from": "2026-04-04T10:33:24.898768+00:00",
  "measured_to": "2026-04-04T10:33:24.898768+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.4.0 · monster · CPU · Windows · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
225.07 / 225.07
测量日期
2026-03-16 – 2026-03-16
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-16T05:52:33.862563+00:00",
        "score": 225.06901244020986,
        "source_record_id": "86c43309-8a9e-40ab-ba32-e1258178332e"
      }
    ],
    "median": null,
    "observed_max": 225.06901244020986,
    "observed_min": 225.06901244020986,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.4.0"
  },
  "condition_id": "6bb0370e43e182170b16",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "86c43309-8a9e-40ab-ba32-e1258178332e"
  ],
  "measured_from": "2026-03-16T05:52:33.862563+00:00",
  "measured_to": "2026-03-16T05:52:33.862563+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

4.5.0 · monster · CPU · Windows · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
249.9 / 257.97
测量日期
2026-03-12 – 2026-05-20
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-12T20:42:32.331195+00:00",
        "score": 249.9023395217741,
        "source_record_id": "3ce8aedf-0d17-45d3-9b91-edc4285c87d5"
      },
      {
        "measured_at": "2026-05-20T17:43:29.424922+00:00",
        "score": 257.97185110380696,
        "source_record_id": "3bd67c5d-9a8f-4ac2-90df-5666cf9aa5ca"
      }
    ],
    "median": null,
    "observed_max": 257.97185110380696,
    "observed_min": 249.9023395217741,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.5.0"
  },
  "condition_id": "64a9834d328caa12cd28",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "3ce8aedf-0d17-45d3-9b91-edc4285c87d5",
    "3bd67c5d-9a8f-4ac2-90df-5666cf9aa5ca"
  ],
  "measured_from": "2026-03-12T20:42:32.331195+00:00",
  "measured_to": "2026-05-20T17:43:29.424922+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender scene rendering

209.1776525530293 samples/min

运行数: 10

暂定中位数 · 样本较少n = 10

5.0.0 · monster · CPU · Windows · 1P · 24 cores · 24 threads

209.18 暂定中位数

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
189.23 / 234.71
测量日期
2026-03-12 – 2026-09-03
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 209.1776525530293,
    "observed_max": 234.71102539273087,
    "observed_min": 189.23413822870995,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 10,
    "sample_status": "provisional",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "5.0.0"
  },
  "condition_id": "fbb49f50dee6a01c8a17",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "b70cb284-7e7d-47ee-8ea5-ee4433de6c35",
    "ed66937f-f914-432b-a4a5-d4beb0b1b09a",
    "f7cb3c47-4132-4e1f-98c2-48c9907c5d78"
  ],
  "measured_from": "2026-03-12T20:25:38.835851+00:00",
  "measured_to": "2026-09-03T00:30:21.876686+00:00",
  "median": 209.1776525530293,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 10,
  "sample_status": "provisional"
}

Blender scene rendering

266.47458889718473 samples/min

运行数: 24

暂定中位数 · 样本较少n = 24

5.1.0 · monster · CPU · Windows · 1P · 24 cores · 24 threads

266.47 暂定中位数

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
202.65 / 285.11
测量日期
2026-03-18 – 2026-06-18
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 266.47458889718473,
    "observed_max": 285.1144965744804,
    "observed_min": 202.64704694161753,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 24,
    "sample_status": "provisional",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "5.1.0"
  },
  "condition_id": "0f814617b7a06200e7be",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "e87bc426-c7af-4d98-bda8-2ea61430f265",
    "d07c1458-4a89-479b-9862-f024f3518eef",
    "cedcb815-247f-4484-bb86-e08606eda98d"
  ],
  "measured_from": "2026-03-18T04:49:04.873654+00:00",
  "measured_to": "2026-06-18T07:34:51.466288+00:00",
  "median": 266.47458889718473,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 24,
  "sample_status": "provisional"
}

Blender scene rendering

265.5615606379106 samples/min

运行数: 41

中位数与四分位数n = 41

5.1.1 · monster · CPU · Windows · 1P · 24 cores · 24 threads

Box: middle 50% (P25–P75)Vertical line: median (P50)

P25
255.06
P50 · 中位数
265.56
P75
272.92

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
168.59 / 294.46
测量日期
2026-04-17 – 2026-09-08
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 265.5615606379106,
    "observed_max": 294.45844135254976,
    "observed_min": 168.5885323727882,
    "percentiles": {
      "p25": 255.06338720619186,
      "p50": 265.5615606379106,
      "p75": 272.9178987260777
    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 41,
    "sample_status": "quartiles",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "5.1.1"
  },
  "condition_id": "27ff120aff87d6f4fd14",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "48f9806e-2324-4599-b725-1e19201d52f6",
    "eee38641-1c46-48fc-be1f-ef089224de26",
    "277b69df-44ed-4c56-b624-912aec362bb4"
  ],
  "measured_from": "2026-04-17T15:53:30.085139+00:00",
  "measured_to": "2026-09-08T01:53:07.739032+00:00",
  "median": 265.5615606379106,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "percentiles": {
    "p25": 255.06338720619186,
    "p50": 265.5615606379106,
    "p75": 272.9178987260777
  },
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 41,
  "sample_status": "quartiles"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

5.0.0 · classroom · CPU · Linux · CachyOS Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
150.95 / 159.62
测量日期
2026-03-12 – 2026-03-17
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-12T05:21:03.123383+00:00",
        "score": 150.94507006284246,
        "source_record_id": "fc8ca07e-98b7-4749-8fb5-0d6c9ba92e63"
      },
      {
        "measured_at": "2026-03-13T03:57:46.586284+00:00",
        "score": 159.62097703408853,
        "source_record_id": "9b9aea8b-3d00-41a5-b083-5bae8f348b4d"
      },
      {
        "measured_at": "2026-03-17T05:17:29.453791+00:00",
        "score": 158.165184920323,
        "source_record_id": "2e1872fc-b6a5-4104-9d4a-4643d7546673"
      }
    ],
    "median": null,
    "observed_max": 159.62097703408853,
    "observed_min": 150.94507006284246,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "CachyOS Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "5.0.0"
  },
  "condition_id": "321d952597ff17065dd3",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "fc8ca07e-98b7-4749-8fb5-0d6c9ba92e63",
    "9b9aea8b-3d00-41a5-b083-5bae8f348b4d",
    "2e1872fc-b6a5-4104-9d4a-4643d7546673"
  ],
  "measured_from": "2026-03-12T05:21:03.123383+00:00",
  "measured_to": "2026-03-17T05:17:29.453791+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

5.1.0 · classroom · CPU · Linux · CachyOS Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
165.03 / 172.99
测量日期
2026-03-20 – 2026-04-04
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-20T06:15:00.859541+00:00",
        "score": 172.31265133680452,
        "source_record_id": "63580f2f-0092-44df-be40-55461879692d"
      },
      {
        "measured_at": "2026-04-04T04:31:33.892497+00:00",
        "score": 165.0256008389928,
        "source_record_id": "4b7f6eeb-4b60-432a-aea0-657d69c9f632"
      },
      {
        "measured_at": "2026-04-04T04:39:55.970514+00:00",
        "score": 172.98511936934264,
        "source_record_id": "552eb27c-6637-4cbe-9993-4f6696e14937"
      }
    ],
    "median": null,
    "observed_max": 172.98511936934264,
    "observed_min": 165.0256008389928,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "CachyOS Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "5.1.0"
  },
  "condition_id": "266b8abe9ee000be874e",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "63580f2f-0092-44df-be40-55461879692d",
    "4b7f6eeb-4b60-432a-aea0-657d69c9f632",
    "552eb27c-6637-4cbe-9993-4f6696e14937"
  ],
  "measured_from": "2026-03-20T06:15:00.859541+00:00",
  "measured_to": "2026-04-04T04:39:55.970514+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

5.1.1 · classroom · CPU · Linux · CachyOS Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
159.53 / 173.05
测量日期
2026-05-07 – 2026-06-05
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-05-07T04:03:00.948358+00:00",
        "score": 173.05163091548155,
        "source_record_id": "4c6d8a48-7343-4470-9a18-3cf26e369737"
      },
      {
        "measured_at": "2026-05-08T07:17:55.615512+00:00",
        "score": 173.05448222546474,
        "source_record_id": "fdce269e-4ea1-4d84-a6c9-6c9eb1186046"
      },
      {
        "measured_at": "2026-06-05T15:58:55.064849+00:00",
        "score": 159.52859889872093,
        "source_record_id": "9a6b21b1-8054-4510-94d6-2bbefcd930e1"
      }
    ],
    "median": null,
    "observed_max": 173.05448222546474,
    "observed_min": 159.52859889872093,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "CachyOS Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "5.1.1"
  },
  "condition_id": "75d770db2afe52c7ebc3",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "4c6d8a48-7343-4470-9a18-3cf26e369737",
    "fdce269e-4ea1-4d84-a6c9-6c9eb1186046",
    "9a6b21b1-8054-4510-94d6-2bbefcd930e1"
  ],
  "measured_from": "2026-05-07T04:03:00.948358+00:00",
  "measured_to": "2026-06-05T15:58:55.064849+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

5.0.0 · junkshop · CPU · Linux · CachyOS Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
221.54 / 234.22
测量日期
2026-03-12 – 2026-03-17
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-12T05:20:31.349870+00:00",
        "score": 221.53504225331872,
        "source_record_id": "fc8ca07e-98b7-4749-8fb5-0d6c9ba92e63"
      },
      {
        "measured_at": "2026-03-13T03:57:14.656128+00:00",
        "score": 234.223248527571,
        "source_record_id": "9b9aea8b-3d00-41a5-b083-5bae8f348b4d"
      },
      {
        "measured_at": "2026-03-17T05:16:57.243506+00:00",
        "score": 232.45885455749254,
        "source_record_id": "2e1872fc-b6a5-4104-9d4a-4643d7546673"
      }
    ],
    "median": null,
    "observed_max": 234.223248527571,
    "observed_min": 221.53504225331872,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "CachyOS Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "5.0.0"
  },
  "condition_id": "c92b9c86426384147a3a",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "fc8ca07e-98b7-4749-8fb5-0d6c9ba92e63",
    "9b9aea8b-3d00-41a5-b083-5bae8f348b4d",
    "2e1872fc-b6a5-4104-9d4a-4643d7546673"
  ],
  "measured_from": "2026-03-12T05:20:31.349870+00:00",
  "measured_to": "2026-03-17T05:16:57.243506+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

5.1.0 · junkshop · CPU · Linux · CachyOS Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
250.03 / 262.98
测量日期
2026-03-20 – 2026-04-04
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-20T06:14:29.039612+00:00",
        "score": 261.9364472064775,
        "source_record_id": "63580f2f-0092-44df-be40-55461879692d"
      },
      {
        "measured_at": "2026-04-04T04:31:02.111572+00:00",
        "score": 250.0324169935986,
        "source_record_id": "4b7f6eeb-4b60-432a-aea0-657d69c9f632"
      },
      {
        "measured_at": "2026-04-04T04:39:24.310395+00:00",
        "score": 262.98316235473146,
        "source_record_id": "552eb27c-6637-4cbe-9993-4f6696e14937"
      }
    ],
    "median": null,
    "observed_max": 262.98316235473146,
    "observed_min": 250.0324169935986,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "CachyOS Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "5.1.0"
  },
  "condition_id": "f45070a3fce555cbb53a",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "63580f2f-0092-44df-be40-55461879692d",
    "4b7f6eeb-4b60-432a-aea0-657d69c9f632",
    "552eb27c-6637-4cbe-9993-4f6696e14937"
  ],
  "measured_from": "2026-03-20T06:14:29.039612+00:00",
  "measured_to": "2026-04-04T04:39:24.310395+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

5.1.1 · junkshop · CPU · Linux · CachyOS Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
230.74 / 261.27
测量日期
2026-05-07 – 2026-06-05
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-05-07T04:02:29.231611+00:00",
        "score": 258.59071508156745,
        "source_record_id": "4c6d8a48-7343-4470-9a18-3cf26e369737"
      },
      {
        "measured_at": "2026-05-08T07:17:23.612192+00:00",
        "score": 261.2655737632989,
        "source_record_id": "fdce269e-4ea1-4d84-a6c9-6c9eb1186046"
      },
      {
        "measured_at": "2026-06-05T15:58:22.943782+00:00",
        "score": 230.7445395899646,
        "source_record_id": "9a6b21b1-8054-4510-94d6-2bbefcd930e1"
      }
    ],
    "median": null,
    "observed_max": 261.2655737632989,
    "observed_min": 230.7445395899646,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "CachyOS Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "5.1.1"
  },
  "condition_id": "2ea3f4365eb10306890a",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "4c6d8a48-7343-4470-9a18-3cf26e369737",
    "fdce269e-4ea1-4d84-a6c9-6c9eb1186046",
    "9a6b21b1-8054-4510-94d6-2bbefcd930e1"
  ],
  "measured_from": "2026-05-07T04:02:29.231611+00:00",
  "measured_to": "2026-06-05T15:58:22.943782+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

5.0.0 · monster · CPU · Linux · CachyOS Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
278.44 / 296.64
测量日期
2026-03-12 – 2026-03-17
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-12T05:19:56.570732+00:00",
        "score": 278.4437869561616,
        "source_record_id": "fc8ca07e-98b7-4749-8fb5-0d6c9ba92e63"
      },
      {
        "measured_at": "2026-03-13T03:56:37.070025+00:00",
        "score": 296.64144152609873,
        "source_record_id": "9b9aea8b-3d00-41a5-b083-5bae8f348b4d"
      },
      {
        "measured_at": "2026-03-17T05:16:19.421491+00:00",
        "score": 293.95960677208785,
        "source_record_id": "2e1872fc-b6a5-4104-9d4a-4643d7546673"
      }
    ],
    "median": null,
    "observed_max": 296.64144152609873,
    "observed_min": 278.4437869561616,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "CachyOS Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "5.0.0"
  },
  "condition_id": "5cc112078ae962011e36",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "fc8ca07e-98b7-4749-8fb5-0d6c9ba92e63",
    "9b9aea8b-3d00-41a5-b083-5bae8f348b4d",
    "2e1872fc-b6a5-4104-9d4a-4643d7546673"
  ],
  "measured_from": "2026-03-12T05:19:56.570732+00:00",
  "measured_to": "2026-03-17T05:16:19.421491+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

5.1.0 · monster · CPU · Linux · CachyOS Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
291.88 / 307.79
测量日期
2026-03-20 – 2026-04-04
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-20T06:13:54.763449+00:00",
        "score": 306.6872098416751,
        "source_record_id": "63580f2f-0092-44df-be40-55461879692d"
      },
      {
        "measured_at": "2026-04-04T04:30:26.785272+00:00",
        "score": 291.87558316808156,
        "source_record_id": "4b7f6eeb-4b60-432a-aea0-657d69c9f632"
      },
      {
        "measured_at": "2026-04-04T04:38:50.113683+00:00",
        "score": 307.7866093134253,
        "source_record_id": "552eb27c-6637-4cbe-9993-4f6696e14937"
      }
    ],
    "median": null,
    "observed_max": 307.7866093134253,
    "observed_min": 291.87558316808156,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "CachyOS Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "5.1.0"
  },
  "condition_id": "a2fb39b8e2d1cfe007bf",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "63580f2f-0092-44df-be40-55461879692d",
    "4b7f6eeb-4b60-432a-aea0-657d69c9f632",
    "552eb27c-6637-4cbe-9993-4f6696e14937"
  ],
  "measured_from": "2026-03-20T06:13:54.763449+00:00",
  "measured_to": "2026-04-04T04:38:50.113683+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

5.1.1 · monster · CPU · Linux · CachyOS Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
282.64 / 308.71
测量日期
2026-05-07 – 2026-06-05
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-05-07T04:01:55.010429+00:00",
        "score": 307.3985288911976,
        "source_record_id": "4c6d8a48-7343-4470-9a18-3cf26e369737"
      },
      {
        "measured_at": "2026-05-08T07:16:49.082553+00:00",
        "score": 308.7098357638108,
        "source_record_id": "fdce269e-4ea1-4d84-a6c9-6c9eb1186046"
      },
      {
        "measured_at": "2026-06-05T15:57:44.579632+00:00",
        "score": 282.64076923511755,
        "source_record_id": "9a6b21b1-8054-4510-94d6-2bbefcd930e1"
      }
    ],
    "median": null,
    "observed_max": 308.7098357638108,
    "observed_min": 282.64076923511755,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "CachyOS Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "5.1.1"
  },
  "condition_id": "b34f5218f69c6cfb9a45",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "4c6d8a48-7343-4470-9a18-3cf26e369737",
    "fdce269e-4ea1-4d84-a6c9-6c9eb1186046",
    "9a6b21b1-8054-4510-94d6-2bbefcd930e1"
  ],
  "measured_from": "2026-05-07T04:01:55.010429+00:00",
  "measured_to": "2026-06-05T15:57:44.579632+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

5.1.1 · classroom · CPU · Linux · Fedora Linux · 44 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
156.56 / 156.74
测量日期
2026-06-28 – 2026-07-27
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-06-28T23:07:39.228338+00:00",
        "score": 156.56227388469432,
        "source_record_id": "1ddfc040-53a1-4a0b-a9ad-1334f4890a74"
      },
      {
        "measured_at": "2026-07-27T23:55:44.770174+00:00",
        "score": 156.74233946004523,
        "source_record_id": "c05161dd-51e1-44e0-b10e-a87f6c4b8f5c"
      }
    ],
    "median": null,
    "observed_max": 156.74233946004523,
    "observed_min": 156.56227388469432,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Fedora Linux",
      "dist_version": "44",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "5.1.1"
  },
  "condition_id": "0e3c7fe56a3cebd43d23",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "1ddfc040-53a1-4a0b-a9ad-1334f4890a74",
    "c05161dd-51e1-44e0-b10e-a87f6c4b8f5c"
  ],
  "measured_from": "2026-06-28T23:07:39.228338+00:00",
  "measured_to": "2026-07-27T23:55:44.770174+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

5.1.1 · junkshop · CPU · Linux · Fedora Linux · 44 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
218.62 / 221.24
测量日期
2026-06-28 – 2026-07-27
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-06-28T23:07:06.008541+00:00",
        "score": 218.6199832179351,
        "source_record_id": "1ddfc040-53a1-4a0b-a9ad-1334f4890a74"
      },
      {
        "measured_at": "2026-07-27T23:55:11.657977+00:00",
        "score": 221.23823153351313,
        "source_record_id": "c05161dd-51e1-44e0-b10e-a87f6c4b8f5c"
      }
    ],
    "median": null,
    "observed_max": 221.23823153351313,
    "observed_min": 218.6199832179351,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Fedora Linux",
      "dist_version": "44",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "5.1.1"
  },
  "condition_id": "5ad0f19a48c8e96942cc",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "1ddfc040-53a1-4a0b-a9ad-1334f4890a74",
    "c05161dd-51e1-44e0-b10e-a87f6c4b8f5c"
  ],
  "measured_from": "2026-06-28T23:07:06.008541+00:00",
  "measured_to": "2026-07-27T23:55:11.657977+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

5.1.1 · monster · CPU · Linux · Fedora Linux · 44 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
276.08 / 277.2
测量日期
2026-06-28 – 2026-07-27
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-06-28T23:06:29.502541+00:00",
        "score": 276.0769126444649,
        "source_record_id": "1ddfc040-53a1-4a0b-a9ad-1334f4890a74"
      },
      {
        "measured_at": "2026-07-27T23:54:35.379367+00:00",
        "score": 277.20056992437173,
        "source_record_id": "c05161dd-51e1-44e0-b10e-a87f6c4b8f5c"
      }
    ],
    "median": null,
    "observed_max": 277.20056992437173,
    "observed_min": 276.0769126444649,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Fedora Linux",
      "dist_version": "44",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "5.1.1"
  },
  "condition_id": "fef48faebde2bb01af38",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "1ddfc040-53a1-4a0b-a9ad-1334f4890a74",
    "c05161dd-51e1-44e0-b10e-a87f6c4b8f5c"
  ],
  "measured_from": "2026-06-28T23:06:29.502541+00:00",
  "measured_to": "2026-07-27T23:54:35.379367+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · classroom · CPU · Linux · Linux Mint · 22.3 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
148.25 / 148.25
测量日期
2026-05-08 – 2026-05-08
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-05-08T16:06:50.839867+00:00",
        "score": 148.24558759362324,
        "source_record_id": "447f8b22-a1ad-4bd0-8de4-319f556a9a49"
      }
    ],
    "median": null,
    "observed_max": 148.24558759362324,
    "observed_min": 148.24558759362324,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22.3",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.5.0"
  },
  "condition_id": "03b4856996967e3e7984",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "447f8b22-a1ad-4bd0-8de4-319f556a9a49"
  ],
  "measured_from": "2026-05-08T16:06:50.839867+00:00",
  "measured_to": "2026-05-08T16:06:50.839867+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · junkshop · CPU · Linux · Linux Mint · 22.3 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
201.09 / 201.09
测量日期
2026-05-08 – 2026-05-08
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-05-08T16:06:18.473351+00:00",
        "score": 201.08869952852,
        "source_record_id": "447f8b22-a1ad-4bd0-8de4-319f556a9a49"
      }
    ],
    "median": null,
    "observed_max": 201.08869952852,
    "observed_min": 201.08869952852,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22.3",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.5.0"
  },
  "condition_id": "9cf7c8341831264a3f3c",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "447f8b22-a1ad-4bd0-8de4-319f556a9a49"
  ],
  "measured_from": "2026-05-08T16:06:18.473351+00:00",
  "measured_to": "2026-05-08T16:06:18.473351+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · monster · CPU · Linux · Linux Mint · 22.3 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
308.09 / 308.09
测量日期
2026-05-08 – 2026-05-08
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-05-08T16:05:38.751728+00:00",
        "score": 308.08677062968627,
        "source_record_id": "447f8b22-a1ad-4bd0-8de4-319f556a9a49"
      }
    ],
    "median": null,
    "observed_max": 308.08677062968627,
    "observed_min": 308.08677062968627,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22.3",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.5.0"
  },
  "condition_id": "16350db9cc6776183818",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "447f8b22-a1ad-4bd0-8de4-319f556a9a49"
  ],
  "measured_from": "2026-05-08T16:05:38.751728+00:00",
  "measured_to": "2026-05-08T16:05:38.751728+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

5.1.0 · classroom · CPU · Linux · Red Hat Enterprise Linux · 9.7 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
133.95 / 133.95
测量日期
2026-04-09 – 2026-04-09
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-04-09T19:05:10.017422+00:00",
        "score": 133.95038057666952,
        "source_record_id": "2043b464-d22e-46fa-9a33-3bb4b6cf86a0"
      }
    ],
    "median": null,
    "observed_max": 133.95038057666952,
    "observed_min": 133.95038057666952,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Red Hat Enterprise Linux",
      "dist_version": "9.7",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "5.1.0"
  },
  "condition_id": "61b16bdf69d66cbe304b",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "2043b464-d22e-46fa-9a33-3bb4b6cf86a0"
  ],
  "measured_from": "2026-04-09T19:05:10.017422+00:00",
  "measured_to": "2026-04-09T19:05:10.017422+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

5.1.0 · junkshop · CPU · Linux · Red Hat Enterprise Linux · 9.7 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
207.71 / 207.71
测量日期
2026-04-09 – 2026-04-09
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-04-09T19:04:36.123672+00:00",
        "score": 207.71434405380828,
        "source_record_id": "2043b464-d22e-46fa-9a33-3bb4b6cf86a0"
      }
    ],
    "median": null,
    "observed_max": 207.71434405380828,
    "observed_min": 207.71434405380828,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Red Hat Enterprise Linux",
      "dist_version": "9.7",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "5.1.0"
  },
  "condition_id": "ed4fa196d3df98ee9e34",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "2043b464-d22e-46fa-9a33-3bb4b6cf86a0"
  ],
  "measured_from": "2026-04-09T19:04:36.123672+00:00",
  "measured_to": "2026-04-09T19:04:36.123672+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

5.1.0 · monster · CPU · Linux · Red Hat Enterprise Linux · 9.7 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
264.33 / 264.33
测量日期
2026-04-09 – 2026-04-09
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-04-09T19:03:55.337110+00:00",
        "score": 264.3315305680037,
        "source_record_id": "2043b464-d22e-46fa-9a33-3bb4b6cf86a0"
      }
    ],
    "median": null,
    "observed_max": 264.3315305680037,
    "observed_min": 264.3315305680037,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Red Hat Enterprise Linux",
      "dist_version": "9.7",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "5.1.0"
  },
  "condition_id": "5fe72f9256eb85342864",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "2043b464-d22e-46fa-9a33-3bb4b6cf86a0"
  ],
  "measured_from": "2026-04-09T19:03:55.337110+00:00",
  "measured_to": "2026-04-09T19:03:55.337110+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

5.0.0 · classroom · CPU · Linux · Ubuntu · 22.04 · 23P · 23 cores · 23 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
129.93 / 129.93
测量日期
2026-08-09 – 2026-08-09
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-08-09T09:19:59.222584+00:00",
        "score": 129.9314054050152,
        "source_record_id": "13a2bf5f-4fbf-4536-955a-9d3289cf9680"
      }
    ],
    "median": null,
    "observed_max": 129.9314054050152,
    "observed_min": 129.9314054050152,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "22.04",
      "driver": null,
      "num_cpu_cores": 23,
      "num_cpu_sockets": 23,
      "num_cpu_threads": 23,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "5.0.0"
  },
  "condition_id": "e35587ab3406247e14bf",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "13a2bf5f-4fbf-4536-955a-9d3289cf9680"
  ],
  "measured_from": "2026-08-09T09:19:59.222584+00:00",
  "measured_to": "2026-08-09T09:19:59.222584+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

5.0.0 · junkshop · CPU · Linux · Ubuntu · 22.04 · 23P · 23 cores · 23 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
170.67 / 170.67
测量日期
2026-08-09 – 2026-08-09
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-08-09T09:19:26.633357+00:00",
        "score": 170.67167374138242,
        "source_record_id": "13a2bf5f-4fbf-4536-955a-9d3289cf9680"
      }
    ],
    "median": null,
    "observed_max": 170.67167374138242,
    "observed_min": 170.67167374138242,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "22.04",
      "driver": null,
      "num_cpu_cores": 23,
      "num_cpu_sockets": 23,
      "num_cpu_threads": 23,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "5.0.0"
  },
  "condition_id": "abb215059d21be1d5c53",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "13a2bf5f-4fbf-4536-955a-9d3289cf9680"
  ],
  "measured_from": "2026-08-09T09:19:26.633357+00:00",
  "measured_to": "2026-08-09T09:19:26.633357+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

5.0.0 · monster · CPU · Linux · Ubuntu · 22.04 · 23P · 23 cores · 23 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
233.42 / 233.42
测量日期
2026-08-09 – 2026-08-09
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-08-09T09:18:49.264168+00:00",
        "score": 233.41533529705794,
        "source_record_id": "13a2bf5f-4fbf-4536-955a-9d3289cf9680"
      }
    ],
    "median": null,
    "observed_max": 233.41533529705794,
    "observed_min": 233.41533529705794,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "22.04",
      "driver": null,
      "num_cpu_cores": 23,
      "num_cpu_sockets": 23,
      "num_cpu_threads": 23,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "5.0.0"
  },
  "condition_id": "c8c4431575f5bf9e96c4",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "13a2bf5f-4fbf-4536-955a-9d3289cf9680"
  ],
  "measured_from": "2026-08-09T09:18:49.264168+00:00",
  "measured_to": "2026-08-09T09:18:49.264168+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · classroom · CPU · Linux · Ubuntu · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
145.28 / 145.28
测量日期
2026-04-27 – 2026-04-27
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-04-27T18:13:42.391383+00:00",
        "score": 145.2813120656326,
        "source_record_id": "ccb19e4f-c9e0-4c53-b01a-d9f86a7a539e"
      }
    ],
    "median": null,
    "observed_max": 145.2813120656326,
    "observed_min": 145.2813120656326,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "4.5.0"
  },
  "condition_id": "6354cdf8e98edcc3b6f4",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "ccb19e4f-c9e0-4c53-b01a-d9f86a7a539e"
  ],
  "measured_from": "2026-04-27T18:13:42.391383+00:00",
  "measured_to": "2026-04-27T18:13:42.391383+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · junkshop · CPU · Linux · Ubuntu · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
198.62 / 198.62
测量日期
2026-04-27 – 2026-04-27
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-04-27T18:13:09.847430+00:00",
        "score": 198.61676005681895,
        "source_record_id": "ccb19e4f-c9e0-4c53-b01a-d9f86a7a539e"
      }
    ],
    "median": null,
    "observed_max": 198.61676005681895,
    "observed_min": 198.61676005681895,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "4.5.0"
  },
  "condition_id": "653ae7e0fd207a19660c",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "ccb19e4f-c9e0-4c53-b01a-d9f86a7a539e"
  ],
  "measured_from": "2026-04-27T18:13:09.847430+00:00",
  "measured_to": "2026-04-27T18:13:09.847430+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · monster · CPU · Linux · Ubuntu · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
302.9 / 302.9
测量日期
2026-04-27 – 2026-04-27
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-04-27T18:12:31.719576+00:00",
        "score": 302.9049075577447,
        "source_record_id": "ccb19e4f-c9e0-4c53-b01a-d9f86a7a539e"
      }
    ],
    "median": null,
    "observed_max": 302.9049075577447,
    "observed_min": 302.9049075577447,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "4.5.0"
  },
  "condition_id": "f7d6b3b315537a4e8418",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "ccb19e4f-c9e0-4c53-b01a-d9f86a7a539e"
  ],
  "measured_from": "2026-04-27T18:12:31.719576+00:00",
  "measured_to": "2026-04-27T18:12:31.719576+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

5.1.1 · classroom · CPU · Linux · Ubuntu · 26.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
159.87 / 159.87
测量日期
2026-06-14 – 2026-06-14
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-06-14T01:30:07.510409+00:00",
        "score": 159.8664122049519,
        "source_record_id": "d7672d79-9e2e-4017-abd0-1e95a9a4513f"
      }
    ],
    "median": null,
    "observed_max": 159.8664122049519,
    "observed_min": 159.8664122049519,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "26.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "classroom",
    "scene_checksum": "936f0a528f03eba291c67ea87743a0ebde58938fb87471b262721b89b46b875d",
    "version": "5.1.1"
  },
  "condition_id": "f6dcc915f3d7de76ff06",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "d7672d79-9e2e-4017-abd0-1e95a9a4513f"
  ],
  "measured_from": "2026-06-14T01:30:07.510409+00:00",
  "measured_to": "2026-06-14T01:30:07.510409+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

5.1.1 · junkshop · CPU · Linux · Ubuntu · 26.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
229.97 / 229.97
测量日期
2026-06-14 – 2026-06-14
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-06-14T01:29:34.996542+00:00",
        "score": 229.96759417886057,
        "source_record_id": "d7672d79-9e2e-4017-abd0-1e95a9a4513f"
      }
    ],
    "median": null,
    "observed_max": 229.96759417886057,
    "observed_min": 229.96759417886057,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "26.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "junkshop",
    "scene_checksum": "f5515a21a1337b908212d8d76733530df83014464a24c585ab7b96000da0cdce",
    "version": "5.1.1"
  },
  "condition_id": "0dcdf8610228358b6614",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "d7672d79-9e2e-4017-abd0-1e95a9a4513f"
  ],
  "measured_from": "2026-06-14T01:29:34.996542+00:00",
  "measured_to": "2026-06-14T01:29:34.996542+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender scene rendering

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

5.1.1 · monster · CPU · Linux · Ubuntu · 26.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
282.69 / 282.69
测量日期
2026-06-14 – 2026-06-14
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-06-14T01:28:55.717407+00:00",
        "score": 282.6875423076837,
        "source_record_id": "d7672d79-9e2e-4017-abd0-1e95a9a4513f"
      }
    ],
    "median": null,
    "observed_max": 282.6875423076837,
    "observed_min": 282.6875423076837,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "26.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster",
    "scene_checksum": "8ff812a02f720433de1403dab447be9541eecca71cc919224a7790d017c1b2ce",
    "version": "5.1.1"
  },
  "condition_id": "8c595b8f39c7900443df",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "d7672d79-9e2e-4017-abd0-1e95a9a4513f"
  ],
  "measured_from": "2026-06-14T01:28:55.717407+00:00",
  "measured_to": "2026-06-14T01:28:55.717407+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender complete benchmark

556.959568912094 samples/min

运行数: 66

中位数与四分位数n = 66

4.2.0 · monster + junkshop + classroom · CPU · Windows · 1P · 24 cores · 24 threads

Box: middle 50% (P25–P75)Vertical line: median (P50)

P25
541.61
P50 · 中位数
556.96
P75
569.23

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
340.92 / 590.51
测量日期
2024-10-14 – 2026-01-13
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 556.959568912094,
    "observed_max": 590.511807967,
    "observed_min": 340.91516748190315,
    "percentiles": {
      "p25": 541.6149601630707,
      "p50": 556.959568912094,
      "p75": 569.2286565271104
    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 66,
    "sample_status": "quartiles",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.2.0"
  },
  "condition_id": "904a883c7b1018ca6fac",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "e42b5267-4537-4988-ad63-3870d7607a37",
    "e2399b53-4dfa-4e49-a250-8c0510076b14",
    "7c3a3e90-8d7d-4306-91b7-34fa4a4ee94f"
  ],
  "measured_from": "2024-10-14T16:00:32.122076+00:00",
  "measured_to": "2026-01-13T00:13:15.311799+00:00",
  "median": 556.959568912094,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "percentiles": {
    "p25": 541.6149601630707,
    "p50": 556.959568912094,
    "p75": 569.2286565271104
  },
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 66,
  "sample_status": "quartiles"
}

Blender complete benchmark

542.7575917562293 samples/min

运行数: 83

中位数与四分位数n = 83

4.3.0 · monster + junkshop + classroom · CPU · Windows · 1P · 24 cores · 24 threads

Box: middle 50% (P25–P75)Vertical line: median (P50)

P25
532.66
P50 · 中位数
542.76
P75
559.18

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
325.53 / 593.78
测量日期
2024-11-20 – 2026-01-13
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 542.7575917562293,
    "observed_max": 593.7819686257478,
    "observed_min": 325.53383832242014,
    "percentiles": {
      "p25": 532.658571032267,
      "p50": 542.7575917562293,
      "p75": 559.1780128541445
    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 83,
    "sample_status": "quartiles",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.3.0"
  },
  "condition_id": "abc160f5c4e45a6f4482",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "ca06cc0b-054d-4515-b2f8-24508d204a08",
    "2c4b6240-6762-45b6-8a40-8af80e050458",
    "8d4ab2ca-8a0c-4536-9138-a5e6b1228e5c"
  ],
  "measured_from": "2024-11-20T19:30:17.559288+00:00",
  "measured_to": "2026-01-13T00:18:38.428769+00:00",
  "median": 542.7575917562293,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "percentiles": {
    "p25": 532.658571032267,
    "p50": 542.7575917562293,
    "p75": 559.1780128541445
  },
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 83,
  "sample_status": "quartiles"
}

Blender complete benchmark

555.9157903626555 samples/min

运行数: 105

公开提交分布n = 105

4.4.0 · monster + junkshop + classroom · CPU · Windows · 1P · 24 cores · 24 threads

454.78–464.27: 2 提交数量464.27–473.76: 0 提交数量473.76–483.24: 0 提交数量483.24–492.73: 1 提交数量492.73–502.22: 2 提交数量502.22–511.71: 3 提交数量511.71–521.19: 3 提交数量521.19–530.68: 4 提交数量530.68–540.17: 12 提交数量540.17–549.66: 14 提交数量549.66–559.15: 16 提交数量559.15–568.63: 11 提交数量568.63–578.12: 7 提交数量578.12–587.61: 9 提交数量587.61–597.1: 17 提交数量597.1–606.59: 0 提交数量606.59–616.07: 0 提交数量616.07–625.56: 1 提交数量625.56–635.05: 2 提交数量635.05–644.54: 1 提交数量n = 17454.78644.54

Box: middle 50% (P25–P75)Vertical line: median (P50)Horizontal line: P5–P95

P5
506.96
P25
538.27
P50 · 中位数
555.92
P75
580.67
P95
595.28

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
454.78 / 644.54
测量日期
2025-03-19 – 2026-01-26
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "histogram": [
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        "from": 454.7799724877403,
        "to": 464.2677928840118
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      {
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      {
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      {
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      {
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        "from": 530.6825356579122,
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      {
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        "from": 540.1703560541837,
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      {
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        "from": 549.6581764504552,
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      {
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        "from": 559.1459968467267,
        "to": 568.6338172429982
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      {
        "count": 7,
        "from": 568.6338172429982,
        "to": 578.1216376392697
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      {
        "count": 9,
        "from": 578.1216376392697,
        "to": 587.6094580355411
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      {
        "count": 17,
        "from": 587.6094580355411,
        "to": 597.0972784318127
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      {
        "count": 0,
        "from": 597.0972784318127,
        "to": 606.5850988280841
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      {
        "count": 0,
        "from": 606.5850988280841,
        "to": 616.0729192243557
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      {
        "count": 1,
        "from": 616.0729192243557,
        "to": 625.5607396206271
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      {
        "count": 2,
        "from": 625.5607396206271,
        "to": 635.0485600168986
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      {
        "count": 1,
        "from": 635.0485600168986,
        "to": 644.5363804131701
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    ],
    "independent_system_count": null,
    "median": 555.9157903626555,
    "observed_max": 644.5363804131701,
    "observed_min": 454.7799724877403,
    "percentiles": {
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      "p50": 555.9157903626555,
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    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 105,
    "sample_status": "distribution",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
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      "dist_name": "",
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      "system": "Windows"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.4.0"
  },
  "condition_id": "5bfb7bc5d6d9946f0847",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "24142576-aaf1-4141-9747-1bf581c73fef",
    "f37bb8fc-3dfe-483b-a5f0-2e4d04a41372",
    "45f43b8b-6a31-4bd7-9737-4721b4523410"
  ],
  "measured_from": "2025-03-19T08:20:04.908787+00:00",
  "measured_to": "2026-01-26T20:28:16.267309+00:00",
  "median": 555.9157903626555,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "percentiles": {
    "p25": 538.2695656118468,
    "p5": 506.96326996214236,
    "p50": 555.9157903626555,
    "p75": 580.6690666578734,
    "p95": 595.2802901156601
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  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 105,
  "sample_status": "distribution"
}

Blender complete benchmark

560.5966498341006 samples/min

运行数: 253

公开提交分布n = 253

4.5.0 · monster + junkshop + classroom · CPU · Windows · 1P · 24 cores · 24 threads

400.25–413.52: 1 提交数量413.52–426.79: 0 提交数量426.79–440.06: 0 提交数量440.06–453.32: 1 提交数量453.32–466.59: 10 提交数量466.59–479.86: 3 提交数量479.86–493.13: 6 提交数量493.13–506.4: 5 提交数量506.4–519.67: 10 提交数量519.67–532.94: 16 提交数量532.94–546.21: 20 提交数量546.21–559.48: 49 提交数量559.48–572.75: 54 提交数量572.75–586.02: 32 提交数量586.02–599.29: 22 提交数量599.29–612.56: 9 提交数量612.56–625.83: 2 提交数量625.83–639.1: 0 提交数量639.1–652.37: 1 提交数量652.37–665.64: 12 提交数量n = 54400.25665.64

Box: middle 50% (P25–P75)Vertical line: median (P50)Horizontal line: P5–P95

P5
468.96
P25
542.7
P50 · 中位数
560.6
P75
579.3
P95
628.18

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
400.25 / 665.64
测量日期
2025-07-17 – 2026-03-10
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "histogram": [
      {
        "count": 1,
        "from": 400.2456092084472,
        "to": 413.51541118054314
      },
      {
        "count": 0,
        "from": 413.51541118054314,
        "to": 426.785213152639
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      {
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        "from": 426.785213152639,
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        "from": 440.05501512473495,
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      {
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        "from": 453.3248170968309,
        "to": 466.5946190689268
      },
      {
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        "from": 466.5946190689268,
        "to": 479.86442104102275
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      {
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        "from": 479.86442104102275,
        "to": 493.1342230131186
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      {
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        "from": 493.1342230131186,
        "to": 506.40402498521456
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        "from": 506.40402498521456,
        "to": 519.6738269573104
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      {
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        "from": 519.6738269573104,
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      {
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        "from": 532.9436289294064,
        "to": 546.2134309015023
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        "from": 546.2134309015023,
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      {
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        "from": 559.4832328735982,
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      {
        "count": 32,
        "from": 572.7530348456942,
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      {
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        "from": 586.0228368177901,
        "to": 599.292638789886
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      {
        "count": 9,
        "from": 599.292638789886,
        "to": 612.5624407619819
      },
      {
        "count": 2,
        "from": 612.5624407619819,
        "to": 625.8322427340779
      },
      {
        "count": 0,
        "from": 625.8322427340779,
        "to": 639.1020447061737
      },
      {
        "count": 1,
        "from": 639.1020447061737,
        "to": 652.3718466782697
      },
      {
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        "from": 652.3718466782697,
        "to": 665.6416486503656
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    ],
    "independent_system_count": null,
    "median": 560.5966498341006,
    "observed_max": 665.6416486503656,
    "observed_min": 400.2456092084472,
    "percentiles": {
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      "p50": 560.5966498341006,
      "p75": 579.3034366332737,
      "p95": 628.1845432300469
    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 253,
    "sample_status": "distribution",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
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      "system": "Windows"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.5.0"
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  "condition_id": "58e23585cdf58fe453d7",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "46ec50c8-f502-4f56-8b9e-d5ca810afae2",
    "8dfa4f59-25e0-4268-ba68-a77d3219a868",
    "6de39407-712d-4427-afe5-cb9196e2d8b7"
  ],
  "measured_from": "2025-07-17T01:48:34.454086+00:00",
  "measured_to": "2026-03-10T12:52:03.431543+00:00",
  "median": 560.5966498341006,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "percentiles": {
    "p25": 542.6952567457454,
    "p5": 468.9553612661545,
    "p50": 560.5966498341006,
    "p75": 579.3034366332737,
    "p95": 628.1845432300469
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  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 253,
  "sample_status": "distribution"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · monster + junkshop + classroom · CPU · Windows · 1P · 8 cores · 8 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
158.26 / 158.26
测量日期
2026-02-13 – 2026-02-13
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-02-13T14:58:35.797067+00:00",
        "score": 158.25704173776265,
        "source_record_id": "f14908fb-2e55-4d9c-b710-32b6aa529806"
      }
    ],
    "median": null,
    "observed_max": 158.25704173776265,
    "observed_min": 158.25704173776265,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 8,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 8,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.5.0"
  },
  "condition_id": "67866cc99505a0cb5367",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "f14908fb-2e55-4d9c-b710-32b6aa529806"
  ],
  "measured_from": "2026-02-13T14:58:35.797067+00:00",
  "measured_to": "2026-02-13T14:58:35.797067+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

4.5.0 · monster + junkshop + classroom · CPU · Linux · Arch Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
663.28 / 673.1
测量日期
2026-01-08 – 2026-01-12
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-01-08T15:48:35.027678+00:00",
        "score": 673.0977304963435,
        "source_record_id": "271ea029-6b2f-419f-b3d5-8de311dc89c5"
      },
      {
        "measured_at": "2026-01-12T15:33:41.795559+00:00",
        "score": 663.2825957173513,
        "source_record_id": "28c33099-a69f-4ef7-be55-eea064eb2515"
      }
    ],
    "median": null,
    "observed_max": 673.0977304963435,
    "observed_min": 663.2825957173513,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Arch Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.5.0"
  },
  "condition_id": "2f9bb406a6037413bbea",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "271ea029-6b2f-419f-b3d5-8de311dc89c5",
    "28c33099-a69f-4ef7-be55-eea064eb2515"
  ],
  "measured_from": "2026-01-08T15:48:35.027678+00:00",
  "measured_to": "2026-01-12T15:33:41.795559+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · monster + junkshop + classroom · CPU · Linux · CachyOS Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
702.4 / 702.4
测量日期
2026-03-11 – 2026-03-11
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-11T07:35:07.162144+00:00",
        "score": 702.4037069630283,
        "source_record_id": "55fe4369-c278-40de-a478-b77048438d77"
      }
    ],
    "median": null,
    "observed_max": 702.4037069630283,
    "observed_min": 702.4037069630283,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "CachyOS Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.5.0"
  },
  "condition_id": "28d658d5e61b5e87868d",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "55fe4369-c278-40de-a478-b77048438d77"
  ],
  "measured_from": "2026-03-11T07:35:07.162144+00:00",
  "measured_to": "2026-03-11T07:35:07.162144+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · monster + junkshop + classroom · CPU · Linux · Debian GNU/Linux · 13 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
646.27 / 646.27
测量日期
2025-11-07 – 2025-11-07
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-11-07T00:12:01.949903+00:00",
        "score": 646.2695405827837,
        "source_record_id": "04a7693f-fad6-4ad8-b56e-d659f35b147b"
      }
    ],
    "median": null,
    "observed_max": 646.2695405827837,
    "observed_min": 646.2695405827837,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Debian GNU/Linux",
      "dist_version": "13",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.5.0"
  },
  "condition_id": "c71fad4d779d5fa1e844",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "04a7693f-fad6-4ad8-b56e-d659f35b147b"
  ],
  "measured_from": "2025-11-07T00:12:01.949903+00:00",
  "measured_to": "2025-11-07T00:12:01.949903+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.2.0 · monster + junkshop + classroom · CPU · Linux · Linux Mint · 22 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
656.21 / 656.21
测量日期
2024-11-15 – 2024-11-15
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2024-11-15T17:10:57.240480+00:00",
        "score": 656.2090920074015,
        "source_record_id": "e6490352-d673-4c3a-a3c4-bec403385937"
      }
    ],
    "median": null,
    "observed_max": 656.2090920074015,
    "observed_min": 656.2090920074015,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.2.0"
  },
  "condition_id": "29be9702dcd2f1bd882c",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "e6490352-d673-4c3a-a3c4-bec403385937"
  ],
  "measured_from": "2024-11-15T17:10:57.240480+00:00",
  "measured_to": "2024-11-15T17:10:57.240480+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.3.0 · monster + junkshop + classroom · CPU · Linux · Linux Mint · 22 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
656.37 / 656.37
测量日期
2024-12-24 – 2024-12-24
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2024-12-24T13:25:08.736084+00:00",
        "score": 656.3728615529662,
        "source_record_id": "2b743754-78e6-405d-b488-3474331f6132"
      }
    ],
    "median": null,
    "observed_max": 656.3728615529662,
    "observed_min": 656.3728615529662,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.3.0"
  },
  "condition_id": "4f628ad3244e4ad2ff81",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "2b743754-78e6-405d-b488-3474331f6132"
  ],
  "measured_from": "2024-12-24T13:25:08.736084+00:00",
  "measured_to": "2024-12-24T13:25:08.736084+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

4.3.0 · monster + junkshop + classroom · CPU · Linux · Linux Mint · 22.1 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
682.56 / 687.26
测量日期
2025-02-01 – 2025-02-15
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-02-01T09:12:34.960308+00:00",
        "score": 682.5603916429466,
        "source_record_id": "1e0c0c02-4595-4546-99e1-d4c17e12ab5b"
      },
      {
        "measured_at": "2025-02-15T10:08:47.151685+00:00",
        "score": 687.2614033121587,
        "source_record_id": "9fc7b623-b403-42e4-b4d9-08f321268835"
      }
    ],
    "median": null,
    "observed_max": 687.2614033121587,
    "observed_min": 682.5603916429466,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22.1",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.3.0"
  },
  "condition_id": "f4830b9f06340b4e0c0f",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "1e0c0c02-4595-4546-99e1-d4c17e12ab5b",
    "9fc7b623-b403-42e4-b4d9-08f321268835"
  ],
  "measured_from": "2025-02-01T09:12:34.960308+00:00",
  "measured_to": "2025-02-15T10:08:47.151685+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

4.5.0 · monster + junkshop + classroom · CPU · Linux · Linux Mint · 22.1 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
507.18 / 508.32
测量日期
2025-08-09 – 2025-08-09
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-08-09T07:30:10.879685+00:00",
        "score": 508.3200775682982,
        "source_record_id": "4e771f03-498c-4eb5-b839-122e4aa93f94"
      },
      {
        "measured_at": "2025-08-09T07:51:30.923380+00:00",
        "score": 507.1754796098624,
        "source_record_id": "163985de-b843-4f84-aaff-2ead922308de"
      }
    ],
    "median": null,
    "observed_max": 508.3200775682982,
    "observed_min": 507.1754796098624,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22.1",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.5.0"
  },
  "condition_id": "8bee26e3a70d612cebc8",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "4e771f03-498c-4eb5-b839-122e4aa93f94",
    "163985de-b843-4f84-aaff-2ead922308de"
  ],
  "measured_from": "2025-08-09T07:30:10.879685+00:00",
  "measured_to": "2025-08-09T07:51:30.923380+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.4.0 · monster + junkshop + classroom · CPU · Linux · Pop!_OS · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
576.81 / 576.81
测量日期
2025-05-19 – 2025-05-19
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-05-19T20:52:14.751148+00:00",
        "score": 576.8106467289352,
        "source_record_id": "8a313848-34a7-4314-b7e6-5fa4e88f5f5b"
      }
    ],
    "median": null,
    "observed_max": 576.8106467289352,
    "observed_min": 576.8106467289352,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Pop!_OS",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.4.0"
  },
  "condition_id": "272bc86a9f0cb13d8c90",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "8a313848-34a7-4314-b7e6-5fa4e88f5f5b"
  ],
  "measured_from": "2025-05-19T20:52:14.751148+00:00",
  "measured_to": "2025-05-19T20:52:14.751148+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · monster + junkshop + classroom · CPU · Linux · Pop!_OS · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
647.08 / 647.08
测量日期
2025-11-07 – 2025-11-07
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-11-07T17:50:54.914172+00:00",
        "score": 647.0789417326871,
        "source_record_id": "57a3f4ff-a0bb-44ae-900e-ab2b19daffe9"
      }
    ],
    "median": null,
    "observed_max": 647.0789417326871,
    "observed_min": 647.0789417326871,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Pop!_OS",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.5.0"
  },
  "condition_id": "ecc262581eff066240cd",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "57a3f4ff-a0bb-44ae-900e-ab2b19daffe9"
  ],
  "measured_from": "2025-11-07T17:50:54.914172+00:00",
  "measured_to": "2025-11-07T17:50:54.914172+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.3.0 · monster + junkshop + classroom · CPU · Linux · Ubuntu · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
493.37 / 493.37
测量日期
2025-10-24 – 2025-10-24
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-10-24T15:57:38.468287+00:00",
        "score": 493.3712104307212,
        "source_record_id": "43821ccd-d68a-4f10-aaf8-9cb1e61c8e6e"
      }
    ],
    "median": null,
    "observed_max": 493.3712104307212,
    "observed_min": 493.3712104307212,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.3.0"
  },
  "condition_id": "5142315ecaf8bbedef0a",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "43821ccd-d68a-4f10-aaf8-9cb1e61c8e6e"
  ],
  "measured_from": "2025-10-24T15:57:38.468287+00:00",
  "measured_to": "2025-10-24T15:57:38.468287+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

4.4.0 · monster + junkshop + classroom · CPU · Linux · Ubuntu · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
635.48 / 648.39
测量日期
2025-04-08 – 2025-05-28
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-04-08T13:54:58.507335+00:00",
        "score": 648.3910265645386,
        "source_record_id": "281ab126-c7e9-415c-9c75-459a573dfa57"
      },
      {
        "measured_at": "2025-04-18T10:33:00.686165+00:00",
        "score": 643.2237109207474,
        "source_record_id": "2bc483e0-e5f3-4a02-83bd-88e6e663004c"
      },
      {
        "measured_at": "2025-05-28T11:25:41.570009+00:00",
        "score": 635.4819071293757,
        "source_record_id": "0726f178-3d6e-49ae-af9a-b3c4195e3551"
      }
    ],
    "median": null,
    "observed_max": 648.3910265645386,
    "observed_min": 635.4819071293757,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.4.0"
  },
  "condition_id": "ee8c4f9214b972c92d51",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "281ab126-c7e9-415c-9c75-459a573dfa57",
    "2bc483e0-e5f3-4a02-83bd-88e6e663004c",
    "0726f178-3d6e-49ae-af9a-b3c4195e3551"
  ],
  "measured_from": "2025-04-08T13:54:58.507335+00:00",
  "measured_to": "2025-05-28T11:25:41.570009+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 7

样本不足 · 仅个别结果n = 7

4.5.0 · monster + junkshop + classroom · CPU · Linux · Ubuntu · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
457.02 / 665.09
测量日期
2025-09-30 – 2026-03-10
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-09-30T19:12:58.423687+00:00",
        "score": 655.4027391975951,
        "source_record_id": "1e93b7d1-2ef5-4884-9e8b-31ebc7006a20"
      },
      {
        "measured_at": "2025-10-24T15:52:04.432910+00:00",
        "score": 462.271451370925,
        "source_record_id": "79351454-142d-4a74-bc17-90a117c99792"
      },
      {
        "measured_at": "2025-11-14T16:02:10.749468+00:00",
        "score": 457.0186698692951,
        "source_record_id": "e6bad641-53b5-47d4-a42f-2b2a4fee84cc"
      },
      {
        "measured_at": "2025-12-15T19:07:22.243648+00:00",
        "score": 650.0226989857247,
        "source_record_id": "bf8e1fee-b0f3-4dc6-a0f2-6695415f6800"
      },
      {
        "measured_at": "2025-12-22T17:19:53.550954+00:00",
        "score": 636.1329532001772,
        "source_record_id": "24733f72-efb2-4605-bc79-dceee028ffe1"
      },
      {
        "measured_at": "2026-02-02T12:22:25.785611+00:00",
        "score": 665.0924367683222,
        "source_record_id": "24bee6c6-a59f-4724-bd04-4db6265cdf30"
      },
      {
        "measured_at": "2026-03-10T11:33:57.515448+00:00",
        "score": 613.4307308901357,
        "source_record_id": "4891be87-ffea-4870-bc9a-cd50ed856175"
      }
    ],
    "median": null,
    "observed_max": 665.0924367683222,
    "observed_min": 457.0186698692951,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 7,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.5.0"
  },
  "condition_id": "74f600de05cce3f29223",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "1e93b7d1-2ef5-4884-9e8b-31ebc7006a20",
    "79351454-142d-4a74-bc17-90a117c99792",
    "e6bad641-53b5-47d4-a42f-2b2a4fee84cc"
  ],
  "measured_from": "2025-09-30T19:12:58.423687+00:00",
  "measured_to": "2026-03-10T11:33:57.515448+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 7,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

4.5.0 · monster + junkshop + classroom · CPU · Linux · Ubuntu · 25.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
616.21 / 637.88
测量日期
2025-08-20 – 2025-09-23
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-08-20T15:07:43.735493+00:00",
        "score": 637.8791174325622,
        "source_record_id": "7dedcae8-9058-490a-bf2f-39b5b2df5aa5"
      },
      {
        "measured_at": "2025-09-23T01:49:38.385328+00:00",
        "score": 616.2076571493022,
        "source_record_id": "2fd1087c-fcf8-4c12-8d88-6aea87ba6a29"
      },
      {
        "measured_at": "2025-09-23T19:39:02.205824+00:00",
        "score": 622.2709931781193,
        "source_record_id": "bfc70791-80d5-42e3-a86f-5e2db6516ca9"
      }
    ],
    "median": null,
    "observed_max": 637.8791174325622,
    "observed_min": 616.2076571493022,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "25.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.5.0"
  },
  "condition_id": "a98d9b5518a6de49fda2",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "7dedcae8-9058-490a-bf2f-39b5b2df5aa5",
    "2fd1087c-fcf8-4c12-8d88-6aea87ba6a29",
    "bfc70791-80d5-42e3-a86f-5e2db6516ca9"
  ],
  "measured_from": "2025-08-20T15:07:43.735493+00:00",
  "measured_to": "2025-09-23T19:39:02.205824+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 4

样本不足 · 仅个别结果n = 4

4.5.0 · monster + junkshop + classroom · CPU · Linux · Ubuntu · 25.10 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
631.98 / 673.44
测量日期
2025-11-17 – 2026-02-06
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2025-11-17T18:52:39.950811+00:00",
        "score": 631.976904492097,
        "source_record_id": "f2dce375-f61c-44a0-bea0-08e6b58119d6"
      },
      {
        "measured_at": "2025-12-09T07:12:34.620398+00:00",
        "score": 673.436541974272,
        "source_record_id": "4e40a8f1-aa7a-4d5a-ac0f-77bc20cb916a"
      },
      {
        "measured_at": "2025-12-16T09:57:25.629196+00:00",
        "score": 646.5817394343778,
        "source_record_id": "29e73f56-150a-4a49-b0a9-7306200ba0a5"
      },
      {
        "measured_at": "2026-02-06T21:10:04.320431+00:00",
        "score": 670.5670371787288,
        "source_record_id": "a99d460f-7135-4359-99bb-9233b58997b8"
      }
    ],
    "median": null,
    "observed_max": 673.436541974272,
    "observed_min": 631.976904492097,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 4,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.1",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "25.10",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.5.0"
  },
  "condition_id": "3ef4f24782bdb2c63dcf",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "f2dce375-f61c-44a0-bea0-08e6b58119d6",
    "4e40a8f1-aa7a-4d5a-ac0f-77bc20cb916a",
    "29e73f56-150a-4a49-b0a9-7306200ba0a5"
  ],
  "measured_from": "2025-11-17T18:52:39.950811+00:00",
  "measured_to": "2026-02-06T21:10:04.320431+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 4,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.3.0 · monster + junkshop + classroom · CPU · Windows · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
542.07 / 542.07
测量日期
2026-04-04 – 2026-04-04
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-04-04T10:34:40.354152+00:00",
        "score": 542.0656717547877,
        "source_record_id": "15401086-a60e-4997-9cba-2f8f4f0d641d"
      }
    ],
    "median": null,
    "observed_max": 542.0656717547877,
    "observed_min": 542.0656717547877,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.3.0"
  },
  "condition_id": "eab1f80e6fc8497d536a",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "15401086-a60e-4997-9cba-2f8f4f0d641d"
  ],
  "measured_from": "2026-04-04T10:34:40.354152+00:00",
  "measured_to": "2026-04-04T10:34:40.354152+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.4.0 · monster + junkshop + classroom · CPU · Windows · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
488.86 / 488.86
测量日期
2026-03-16 – 2026-03-16
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-16T05:53:53.127558+00:00",
        "score": 488.86255287793546,
        "source_record_id": "86c43309-8a9e-40ab-ba32-e1258178332e"
      }
    ],
    "median": null,
    "observed_max": 488.86255287793546,
    "observed_min": 488.86255287793546,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.4.0"
  },
  "condition_id": "a6bf2386bdd17fd5ecd4",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "86c43309-8a9e-40ab-ba32-e1258178332e"
  ],
  "measured_from": "2026-03-16T05:53:53.127558+00:00",
  "measured_to": "2026-03-16T05:53:53.127558+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

4.5.0 · monster + junkshop + classroom · CPU · Windows · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
525.74 / 551.79
测量日期
2026-03-12 – 2026-05-20
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-12T20:43:58.153726+00:00",
        "score": 525.7411868543236,
        "source_record_id": "3ce8aedf-0d17-45d3-9b91-edc4285c87d5"
      },
      {
        "measured_at": "2026-05-20T17:44:52.096330+00:00",
        "score": 551.7883398696008,
        "source_record_id": "3bd67c5d-9a8f-4ac2-90df-5666cf9aa5ca"
      }
    ],
    "median": null,
    "observed_max": 551.7883398696008,
    "observed_min": 525.7411868543236,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.5.0"
  },
  "condition_id": "ee77a0b62110e1e85c75",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "3ce8aedf-0d17-45d3-9b91-edc4285c87d5",
    "3bd67c5d-9a8f-4ac2-90df-5666cf9aa5ca"
  ],
  "measured_from": "2026-03-12T20:43:58.153726+00:00",
  "measured_to": "2026-05-20T17:44:52.096330+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender complete benchmark

504.5991058118225 samples/min

运行数: 10

暂定中位数 · 样本较少n = 10

5.0.0 · monster + junkshop + classroom · CPU · Windows · 1P · 24 cores · 24 threads

504.6 暂定中位数

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
454.57 / 575.56
测量日期
2026-03-12 – 2026-09-03
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 504.5991058118225,
    "observed_max": 575.558453607487,
    "observed_min": 454.56501796879957,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 10,
    "sample_status": "provisional",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "5.0.0"
  },
  "condition_id": "deb16230b8a86f2426a2",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "b70cb284-7e7d-47ee-8ea5-ee4433de6c35",
    "ed66937f-f914-432b-a4a5-d4beb0b1b09a",
    "f7cb3c47-4132-4e1f-98c2-48c9907c5d78"
  ],
  "measured_from": "2026-03-12T20:26:58.791546+00:00",
  "measured_to": "2026-09-03T00:31:42.738941+00:00",
  "median": 504.5991058118225,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 10,
  "sample_status": "provisional"
}

Blender complete benchmark

605.4870148096519 samples/min

运行数: 24

暂定中位数 · 样本较少n = 24

5.1.0 · monster + junkshop + classroom · CPU · Windows · 1P · 24 cores · 24 threads

605.49 暂定中位数

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
467.62 / 657.1
测量日期
2026-03-18 – 2026-06-18
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 605.4870148096519,
    "observed_max": 657.0977774246667,
    "observed_min": 467.61940160759195,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 24,
    "sample_status": "provisional",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "5.1.0"
  },
  "condition_id": "26aa0505dd923b92efbc",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "e87bc426-c7af-4d98-bda8-2ea61430f265",
    "d07c1458-4a89-479b-9862-f024f3518eef",
    "cedcb815-247f-4484-bb86-e08606eda98d"
  ],
  "measured_from": "2026-03-18T04:50:26.875298+00:00",
  "measured_to": "2026-06-18T07:36:13.258340+00:00",
  "median": 605.4870148096519,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 24,
  "sample_status": "provisional"
}

Blender complete benchmark

607.3995044731688 samples/min

运行数: 41

中位数与四分位数n = 41

5.1.1 · monster + junkshop + classroom · CPU · Windows · 1P · 24 cores · 24 threads

Box: middle 50% (P25–P75)Vertical line: median (P50)

P25
567.48
P50 · 中位数
607.4
P75
624.27

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
379.84 / 676.88
测量日期
2026-04-17 – 2026-09-08
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "median": 607.3995044731688,
    "observed_max": 676.8759066237976,
    "observed_min": 379.83764160716845,
    "percentiles": {
      "p25": 567.475194126995,
      "p50": 607.3995044731688,
      "p75": 624.2688700601615
    },
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 41,
    "sample_status": "quartiles",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "",
      "dist_version": "",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Windows"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "5.1.1"
  },
  "condition_id": "dc718a41a61d7f3f28c0",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "48f9806e-2324-4599-b725-1e19201d52f6",
    "eee38641-1c46-48fc-be1f-ef089224de26",
    "277b69df-44ed-4c56-b624-912aec362bb4"
  ],
  "measured_from": "2026-04-17T15:54:50.886929+00:00",
  "measured_to": "2026-09-08T01:54:23.414685+00:00",
  "median": 607.3995044731688,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "percentiles": {
    "p25": 567.475194126995,
    "p50": 607.3995044731688,
    "p75": 624.2688700601615
  },
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 41,
  "sample_status": "quartiles"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

5.0.0 · monster + junkshop + classroom · CPU · Linux · CachyOS Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
650.92 / 690.49
测量日期
2026-03-12 – 2026-03-17
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-12T05:21:03.123383+00:00",
        "score": 650.9238992723228,
        "source_record_id": "fc8ca07e-98b7-4749-8fb5-0d6c9ba92e63"
      },
      {
        "measured_at": "2026-03-13T03:57:46.586284+00:00",
        "score": 690.4856670877582,
        "source_record_id": "9b9aea8b-3d00-41a5-b083-5bae8f348b4d"
      },
      {
        "measured_at": "2026-03-17T05:17:29.453791+00:00",
        "score": 684.5836462499034,
        "source_record_id": "2e1872fc-b6a5-4104-9d4a-4643d7546673"
      }
    ],
    "median": null,
    "observed_max": 690.4856670877582,
    "observed_min": 650.9238992723228,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "CachyOS Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "5.0.0"
  },
  "condition_id": "35b0fedb551e3440e3af",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "fc8ca07e-98b7-4749-8fb5-0d6c9ba92e63",
    "9b9aea8b-3d00-41a5-b083-5bae8f348b4d",
    "2e1872fc-b6a5-4104-9d4a-4643d7546673"
  ],
  "measured_from": "2026-03-12T05:21:03.123383+00:00",
  "measured_to": "2026-03-17T05:17:29.453791+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

5.1.0 · monster + junkshop + classroom · CPU · Linux · CachyOS Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
706.93 / 743.75
测量日期
2026-03-20 – 2026-04-04
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-03-20T06:15:00.859541+00:00",
        "score": 740.9363083849571,
        "source_record_id": "63580f2f-0092-44df-be40-55461879692d"
      },
      {
        "measured_at": "2026-04-04T04:31:33.892497+00:00",
        "score": 706.933601000673,
        "source_record_id": "4b7f6eeb-4b60-432a-aea0-657d69c9f632"
      },
      {
        "measured_at": "2026-04-04T04:39:55.970514+00:00",
        "score": 743.7548910374994,
        "source_record_id": "552eb27c-6637-4cbe-9993-4f6696e14937"
      }
    ],
    "median": null,
    "observed_max": 743.7548910374994,
    "observed_min": 706.933601000673,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "CachyOS Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "5.1.0"
  },
  "condition_id": "197597bbe9a767eb414b",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "63580f2f-0092-44df-be40-55461879692d",
    "4b7f6eeb-4b60-432a-aea0-657d69c9f632",
    "552eb27c-6637-4cbe-9993-4f6696e14937"
  ],
  "measured_from": "2026-03-20T06:15:00.859541+00:00",
  "measured_to": "2026-04-04T04:39:55.970514+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 3

样本不足 · 仅个别结果n = 3

5.1.1 · monster + junkshop + classroom · CPU · Linux · CachyOS Linux · rolling · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
672.91 / 743.03
测量日期
2026-05-07 – 2026-06-05
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-05-07T04:03:00.948358+00:00",
        "score": 739.0408748882467,
        "source_record_id": "4c6d8a48-7343-4470-9a18-3cf26e369737"
      },
      {
        "measured_at": "2026-05-08T07:17:55.615512+00:00",
        "score": 743.0298917525745,
        "source_record_id": "fdce269e-4ea1-4d84-a6c9-6c9eb1186046"
      },
      {
        "measured_at": "2026-06-05T15:58:55.064849+00:00",
        "score": 672.913907723803,
        "source_record_id": "9a6b21b1-8054-4510-94d6-2bbefcd930e1"
      }
    ],
    "median": null,
    "observed_max": 743.0298917525745,
    "observed_min": 672.913907723803,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 3,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "CachyOS Linux",
      "dist_version": "rolling",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "5.1.1"
  },
  "condition_id": "8cea62c2b39ee7139906",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "4c6d8a48-7343-4470-9a18-3cf26e369737",
    "fdce269e-4ea1-4d84-a6c9-6c9eb1186046",
    "9a6b21b1-8054-4510-94d6-2bbefcd930e1"
  ],
  "measured_from": "2026-05-07T04:03:00.948358+00:00",
  "measured_to": "2026-06-05T15:58:55.064849+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 3,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 2

样本不足 · 仅个别结果n = 2

5.1.1 · monster + junkshop + classroom · CPU · Linux · Fedora Linux · 44 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
651.26 / 655.18
测量日期
2026-06-28 – 2026-07-27
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-06-28T23:07:39.228338+00:00",
        "score": 651.2591697470943,
        "source_record_id": "1ddfc040-53a1-4a0b-a9ad-1334f4890a74"
      },
      {
        "measured_at": "2026-07-27T23:55:44.770174+00:00",
        "score": 655.1811409179301,
        "source_record_id": "c05161dd-51e1-44e0-b10e-a87f6c4b8f5c"
      }
    ],
    "median": null,
    "observed_max": 655.1811409179301,
    "observed_min": 651.2591697470943,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 2,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Fedora Linux",
      "dist_version": "44",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "5.1.1"
  },
  "condition_id": "89b179a0ebfc73c72b2c",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "1ddfc040-53a1-4a0b-a9ad-1334f4890a74",
    "c05161dd-51e1-44e0-b10e-a87f6c4b8f5c"
  ],
  "measured_from": "2026-06-28T23:07:39.228338+00:00",
  "measured_to": "2026-07-27T23:55:44.770174+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 2,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · monster + junkshop + classroom · CPU · Linux · Linux Mint · 22.3 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
657.42 / 657.42
测量日期
2026-05-08 – 2026-05-08
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-05-08T16:06:50.839867+00:00",
        "score": 657.4210577518295,
        "source_record_id": "447f8b22-a1ad-4bd0-8de4-319f556a9a49"
      }
    ],
    "median": null,
    "observed_max": 657.4210577518295,
    "observed_min": 657.4210577518295,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Linux Mint",
      "dist_version": "22.3",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.5.0"
  },
  "condition_id": "7249d71a99ddb0f6e86c",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "447f8b22-a1ad-4bd0-8de4-319f556a9a49"
  ],
  "measured_from": "2026-05-08T16:06:50.839867+00:00",
  "measured_to": "2026-05-08T16:06:50.839867+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

5.1.0 · monster + junkshop + classroom · CPU · Linux · Red Hat Enterprise Linux · 9.7 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
606 / 606
测量日期
2026-04-09 – 2026-04-09
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-04-09T19:05:10.017422+00:00",
        "score": 605.9962551984815,
        "source_record_id": "2043b464-d22e-46fa-9a33-3bb4b6cf86a0"
      }
    ],
    "median": null,
    "observed_max": 605.9962551984815,
    "observed_min": 605.9962551984815,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Red Hat Enterprise Linux",
      "dist_version": "9.7",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "5.1.0"
  },
  "condition_id": "ea6045dd49291da695c6",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "2043b464-d22e-46fa-9a33-3bb4b6cf86a0"
  ],
  "measured_from": "2026-04-09T19:05:10.017422+00:00",
  "measured_to": "2026-04-09T19:05:10.017422+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

5.0.0 · monster + junkshop + classroom · CPU · Linux · Ubuntu · 22.04 · 23P · 23 cores · 23 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
534.02 / 534.02
测量日期
2026-08-09 – 2026-08-09
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-08-09T09:19:59.222584+00:00",
        "score": 534.0184144434555,
        "source_record_id": "13a2bf5f-4fbf-4536-955a-9d3289cf9680"
      }
    ],
    "median": null,
    "observed_max": 534.0184144434555,
    "observed_min": 534.0184144434555,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "22.04",
      "driver": null,
      "num_cpu_cores": 23,
      "num_cpu_sockets": 23,
      "num_cpu_threads": 23,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "5.0.0"
  },
  "condition_id": "2f59c5120ece718fcd7a",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "13a2bf5f-4fbf-4536-955a-9d3289cf9680"
  ],
  "measured_from": "2026-08-09T09:19:59.222584+00:00",
  "measured_to": "2026-08-09T09:19:59.222584+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

4.5.0 · monster + junkshop + classroom · CPU · Linux · Ubuntu · 24.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
646.8 / 646.8
测量日期
2026-04-27 – 2026-04-27
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-04-27T18:13:42.391383+00:00",
        "score": 646.8029796801962,
        "source_record_id": "ccb19e4f-c9e0-4c53-b01a-d9f86a7a539e"
      }
    ],
    "median": null,
    "observed_max": 646.8029796801962,
    "observed_min": 646.8029796801962,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "24.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "4.5.0"
  },
  "condition_id": "72e65e9a2ab4fdb31dce",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "ccb19e4f-c9e0-4c53-b01a-d9f86a7a539e"
  ],
  "measured_from": "2026-04-27T18:13:42.391383+00:00",
  "measured_to": "2026-04-27T18:13:42.391383+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender complete benchmark

样本不足 · 不显示代表分数

运行数: 1

样本不足 · 仅个别结果n = 1

5.1.1 · monster + junkshop + classroom · CPU · Linux · Ubuntu · 26.04 · 1P · 24 cores · 24 threads

数量为提交数,独立计算机数量未知。默认或超频状态、RAM 与功耗设置也未确认。

测量范围与解读

样本阈值只是初期显示规则,不保证统计置信度。P95 不是理论上限。各系统提交比例不代表用户市场份额。

测量最小值 / 最大值
672.52 / 672.52
测量日期
2026-06-14 – 2026-06-14
已去除重复提交
0
分位数计算
linear interpolation · (n−1) × p

查看原文 ↗

{
  "analysis": {
    "duplicates_removed": 0,
    "independent_system_count": null,
    "individual_results": [
      {
        "measured_at": "2026-06-14T01:30:07.510409+00:00",
        "score": 672.5215486914962,
        "source_record_id": "d7672d79-9e2e-4017-abd0-1e95a9a4513f"
      }
    ],
    "median": null,
    "observed_max": 672.5215486914962,
    "observed_min": 672.5215486914962,
    "policy": "submitted-runs-v1",
    "quantile_method": "linear interpolation at (n-1)*p",
    "sample_count": 1,
    "sample_status": "individual",
    "settings_status": "unknown"
  },
  "comparison_readiness": "observational-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "benchmark_script": "3.1.2",
      "device_name": "Intel Core Ultra 9 285K",
      "dist_name": "Ubuntu",
      "dist_version": "26.04",
      "driver": null,
      "num_cpu_cores": 24,
      "num_cpu_sockets": 1,
      "num_cpu_threads": 24,
      "power_limit": null,
      "ram_bytes": null,
      "settings_status": "unknown",
      "system": "Linux"
    },
    "scene": "monster + junkshop + classroom",
    "scene_checksum": "c3453da9769193d968fb1cc675fd7f92a3424abe9ac730218f2e00b953389356",
    "version": "5.1.1"
  },
  "condition_id": "60e4026371fcd482bfa0",
  "document_id": "blender-open-data-3b13b06e2e84b715",
  "example_record_ids": [
    "d7672d79-9e2e-4017-abd0-1e95a9a4513f"
  ],
  "measured_from": "2026-06-14T01:30:07.510409+00:00",
  "measured_to": "2026-06-14T01:30:07.510409+00:00",
  "median": null,
  "parameter_id": "benchmark.blender.total_samples_per_minute",
  "population": "public submitted runs; not independent systems",
  "product_id": "intel-core-285k",
  "run_count": 1,
  "sample_status": "individual"
}

Blender 3.3 · Classroom CPU

123.5 seconds

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "Blender",
    "environment": {
      "backend": "CPU",
      "evidence_type": "source-aggregate",
      "metric_scope": "published benchmark grouped by hardware; mixed systems",
      "population": "Notebookcheck internal and external reviews; mixed systems",
      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
      "source_sample_count": 2,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "Classroom CPU",
    "scene_checksum": "source-workload:benchmark.blender_classroom_seconds",
    "version": "3.3"
  },
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    "18013:Blender v3.3 Classroom CPU (-)"
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Cinebench (10)

Cinebench 2024 · Multi-core

2,397 points

运行数: 0(汇总或报告值)

查看原文 ↗

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    "18013:Cinebench 2024 CPU Multi Core"
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  "source_sample_count": 8,
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Cinebench 2024 · Single-core

145.5 points

运行数: 0(汇总或报告值)

查看原文 ↗

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Cinebench R10 32-bit multi-core

102,886 points

运行数: 0(汇总或报告值)

查看原文 ↗

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      "source_sample_count": 2,
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    "18013:Cinebench R10 32Bit Multi"
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Cinebench R10 32-bit single-core

12,521.5 points

运行数: 0(汇总或报告值)

查看原文 ↗

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    "18013:Cinebench R10 32Bit Single"
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Cinebench R15 multi-core

6,494 points

运行数: 0(汇总或报告值)

查看原文 ↗

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Cinebench R15 single-core

359 points

运行数: 0(汇总或报告值)

查看原文 ↗

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      "source_device_name": "Intel Core Ultra 9 285K",
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Cinebench R20 multi-core

16,623 points

运行数: 0(汇总或报告值)

查看原文 ↗

{
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      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
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    "scene_checksum": "source-workload:benchmark.cinebench_r20_multi",
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Cinebench R20 single-core

918 points

运行数: 0(汇总或报告值)

查看原文 ↗

{
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      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
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      "variant_status": "source-pooled-configurations"
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Cinebench R23 · Multi-core

42,522 points

运行数: 0(汇总或报告值)

查看原文 ↗

{
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      "scene_identity_status": "source-workload-id; asset checksum unavailable",
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      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
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  "product_id": "intel-core-285k",
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Cinebench R23 · Single-core

2,377 points

运行数: 0(汇总或报告值)

查看原文 ↗

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      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
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CrossMark (1)

CrossMark build unknown overall

2,531 points

运行数: 0(汇总或报告值)

查看原文 ↗

{
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      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
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    "18013:CrossMark Overall"
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}
Geekbench (6)

Geekbench 4.4 64-bit multi-core

93,777.5 points

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
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      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
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    "scene_checksum": "source-workload:benchmark.geekbench44_multi",
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    "18013:Geekbench 4.4 64 Bit Multi-Core Score"
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  "product_id": "intel-core-285k",
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Geekbench 4.4 64-bit single-core

9,857 points

运行数: 0(汇总或报告值)

查看原文 ↗

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      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
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    "scene_checksum": "source-workload:benchmark.geekbench44_single",
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  "parameter_id": "benchmark.geekbench44_single",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "intel-core-285k",
  "record_count": 1,
  "reported_value": 9857,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 2,
  "statistic": "median"
}

Geekbench 5.5 multi-core

25,963 points

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "Geekbench",
    "environment": {
      "backend": "CPU",
      "evidence_type": "source-aggregate",
      "metric_scope": "published benchmark grouped by hardware; mixed systems",
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      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
      "source_sample_count": 2,
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      "variant_status": "source-pooled-configurations"
    },
    "scene": "multi-core",
    "scene_checksum": "source-workload:benchmark.geekbench55_multi",
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  },
  "condition_id": "a040c02f68e229dc1327",
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  "example_record_ids": [
    "18013:Geekbench 5.5 Multi-Core"
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  "measured_to": null,
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  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "intel-core-285k",
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  "reported_value": 25963,
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  "source_sample_count": 2,
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}

Geekbench 5.5 single-core

2,387.5 points

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "Geekbench",
    "environment": {
      "backend": "CPU",
      "evidence_type": "source-aggregate",
      "metric_scope": "published benchmark grouped by hardware; mixed systems",
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      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
      "source_sample_count": 2,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "single-core",
    "scene_checksum": "source-workload:benchmark.geekbench55_single",
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  },
  "condition_id": "081a19f511f32bd6cf36",
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  "example_record_ids": [
    "18013:Geekbench 5.5 Single-Core"
  ],
  "measured_from": null,
  "measured_to": null,
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  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "intel-core-285k",
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  "reported_value": 2387.5,
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  "source_sample_count": 2,
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}

Geekbench 6.7 multi-core

21,688 points

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "Geekbench",
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      "backend": "CPU",
      "evidence_type": "source-aggregate",
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      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
      "source_sample_count": 3,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "multi-core",
    "scene_checksum": "source-workload:benchmark.geekbench67_multi",
    "version": "6.7"
  },
  "condition_id": "1e974b1af496121d3267",
  "document_id": "bench-af7ce69f624f51d5-249478030648299a",
  "example_record_ids": [
    "18013:Geekbench 6.7 Multi-Core"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.geekbench67_multi",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "intel-core-285k",
  "record_count": 1,
  "reported_value": 21688,
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  "source_sample_count": 3,
  "statistic": "median"
}

Geekbench 6.7 single-core

3,260 points

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "Geekbench",
    "environment": {
      "backend": "CPU",
      "evidence_type": "source-aggregate",
      "metric_scope": "published benchmark grouped by hardware; mixed systems",
      "population": "Notebookcheck internal and external reviews; mixed systems",
      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
      "source_sample_count": 3,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "single-core",
    "scene_checksum": "source-workload:benchmark.geekbench67_single",
    "version": "6.7"
  },
  "condition_id": "35ecdbe452c18c0e3da8",
  "document_id": "bench-af7ce69f624f51d5-249478030648299a",
  "example_record_ids": [
    "18013:Geekbench 6.7 Single-Core"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.geekbench67_single",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "intel-core-285k",
  "record_count": 1,
  "reported_value": 3260,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 3,
  "statistic": "median"
}
SuperPI (1)

SuperPI build unknown 1M

6.79 seconds

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "SuperPI",
    "environment": {
      "backend": "CPU",
      "evidence_type": "source-aggregate",
      "metric_scope": "published benchmark grouped by hardware; mixed systems",
      "population": "Notebookcheck internal and external reviews; mixed systems",
      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
      "source_sample_count": 2,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "1M",
    "scene_checksum": "source-workload:benchmark.superpi_1m",
    "version": "build unknown"
  },
  "condition_id": "6c8aede5cd8e412d5bc5",
  "document_id": "bench-db41a6e58001ed35-9593510551dc5ce3",
  "example_record_ids": [
    "18013:SuperPI 1M*"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.superpi_1m",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "intel-core-285k",
  "record_count": 1,
  "reported_value": 6.79,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 2,
  "statistic": "median"
}
TrueCrypt (3)

TrueCrypt build unknown AES

16.65 source-score (unit unverified)

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "TrueCrypt",
    "environment": {
      "backend": "CPU",
      "evidence_type": "source-aggregate",
      "metric_scope": "published benchmark grouped by hardware; mixed systems",
      "population": "Notebookcheck internal and external reviews; mixed systems",
      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
      "source_sample_count": 2,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "AES",
    "scene_checksum": "source-workload:benchmark.truecrypt_aes",
    "version": "build unknown"
  },
  "condition_id": "d16ba864ce13f50c4dfc",
  "document_id": "bench-db41a6e58001ed35-9593510551dc5ce3",
  "example_record_ids": [
    "18013:TrueCrypt AES"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.truecrypt_aes",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "intel-core-285k",
  "record_count": 1,
  "reported_value": 16.65,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 2,
  "statistic": "median"
}

TrueCrypt build unknown Serpent

2.4 source-score (unit unverified)

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "TrueCrypt",
    "environment": {
      "backend": "CPU",
      "evidence_type": "source-aggregate",
      "metric_scope": "published benchmark grouped by hardware; mixed systems",
      "population": "Notebookcheck internal and external reviews; mixed systems",
      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
      "source_sample_count": 2,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "Serpent",
    "scene_checksum": "source-workload:benchmark.truecrypt_serpent",
    "version": "build unknown"
  },
  "condition_id": "c036f7e7424c2c26d70d",
  "document_id": "bench-db41a6e58001ed35-9593510551dc5ce3",
  "example_record_ids": [
    "18013:TrueCrypt Serpent"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.truecrypt_serpent",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "intel-core-285k",
  "record_count": 1,
  "reported_value": 2.4,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 2,
  "statistic": "median"
}

TrueCrypt build unknown Twofish

4.95 source-score (unit unverified)

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "TrueCrypt",
    "environment": {
      "backend": "CPU",
      "evidence_type": "source-aggregate",
      "metric_scope": "published benchmark grouped by hardware; mixed systems",
      "population": "Notebookcheck internal and external reviews; mixed systems",
      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
      "source_sample_count": 2,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "Twofish",
    "scene_checksum": "source-workload:benchmark.truecrypt_twofish",
    "version": "build unknown"
  },
  "condition_id": "2832fdab509be57e84ea",
  "document_id": "bench-db41a6e58001ed35-9593510551dc5ce3",
  "example_record_ids": [
    "18013:TrueCrypt Twofish"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.truecrypt_twofish",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "intel-core-285k",
  "record_count": 1,
  "reported_value": 4.95,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 2,
  "statistic": "median"
}
V-Ray (1)

V-Ray 6 (build unknown) v6-current-cpu

38,814 vsamples

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "V-Ray",
    "environment": {
      "backend": "CPU",
      "configuration": {
        "count": 1,
        "logicalCores": 24,
        "physicalCores": 24,
        "tag": "CpuDetails"
      },
      "evidence_type": "source-aggregate",
      "population": "Chaos public submitted runs; mixed systems",
      "scene_identity_status": "current public v6 scene; asset checksum unavailable",
      "settings_status": "unknown",
      "source_configuration_id": 24700,
      "source_device_name": "Intel(R) Core(TM) Ultra 9 285K",
      "source_max": 47507,
      "source_median": 38995,
      "source_model_url": "https://benchmark.chaos.com/vray/v6/vray/24700",
      "source_sample_count": 78,
      "statistic": "mean"
    },
    "scene": "v6-current-cpu",
    "scene_checksum": "chaos-v6-current-workload:cpu",
    "version": "6 (build unknown)"
  },
  "condition_id": "8fdd560976fb851f1837",
  "document_id": "bench-2a69c2c10acee923-0a352e5c702cc18a",
  "example_record_ids": [
    "24700"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.vray6_cpu",
  "population": "Chaos public submitted runs; mixed systems",
  "product_id": "intel-core-285k",
  "record_count": 1,
  "reported_value": 38814,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 78,
  "statistic": "mean"
}
WebXPRT (2)

WebXPRT 3 overall

387 points

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "WebXPRT",
    "environment": {
      "backend": "CPU",
      "evidence_type": "source-aggregate",
      "metric_scope": "published benchmark grouped by hardware; mixed systems",
      "population": "Notebookcheck internal and external reviews; mixed systems",
      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
      "source_sample_count": 2,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "overall",
    "scene_checksum": "source-workload:benchmark.webxprt3",
    "version": "3"
  },
  "condition_id": "d11feee0183e2fe478f2",
  "document_id": "bench-db41a6e58001ed35-9593510551dc5ce3",
  "example_record_ids": [
    "18013:WebXPRT 3"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.webxprt3",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "intel-core-285k",
  "record_count": 1,
  "reported_value": 387,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 2,
  "statistic": "median"
}

WebXPRT 4 overall

350 points

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "WebXPRT",
    "environment": {
      "backend": "CPU",
      "evidence_type": "source-aggregate",
      "metric_scope": "published benchmark grouped by hardware; mixed systems",
      "population": "Notebookcheck internal and external reviews; mixed systems",
      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
      "source_sample_count": 2,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "overall",
    "scene_checksum": "source-workload:benchmark.webxprt4",
    "version": "4"
  },
  "condition_id": "f63b9f0b0e181ca046a9",
  "document_id": "bench-af7ce69f624f51d5-249478030648299a",
  "example_record_ids": [
    "18013:WebXPRT 4 Overall"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.webxprt4",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "intel-core-285k",
  "record_count": 1,
  "reported_value": 350,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 2,
  "statistic": "median"
}
wPrime (2)

wPrime build unknown 1024M

45.7 seconds

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "wPrime",
    "environment": {
      "backend": "CPU",
      "evidence_type": "source-aggregate",
      "metric_scope": "published benchmark grouped by hardware; mixed systems",
      "population": "Notebookcheck internal and external reviews; mixed systems",
      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
      "source_sample_count": 2,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "1024M",
    "scene_checksum": "source-workload:benchmark.wprime1024",
    "version": "build unknown"
  },
  "condition_id": "eed7bc7bbb6a0b941f12",
  "document_id": "bench-db41a6e58001ed35-9593510551dc5ce3",
  "example_record_ids": [
    "18013:wPrime 1024"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.wprime1024",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "intel-core-285k",
  "record_count": 1,
  "reported_value": 45.7,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 2,
  "statistic": "median"
}

wPrime build unknown 32M

2.16 seconds

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "wPrime",
    "environment": {
      "backend": "CPU",
      "evidence_type": "source-aggregate",
      "metric_scope": "published benchmark grouped by hardware; mixed systems",
      "population": "Notebookcheck internal and external reviews; mixed systems",
      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
      "source_sample_count": 2,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "32M",
    "scene_checksum": "source-workload:benchmark.wprime32",
    "version": "build unknown"
  },
  "condition_id": "a376fc464e59b8bf601c",
  "document_id": "bench-db41a6e58001ed35-9593510551dc5ce3",
  "example_record_ids": [
    "18013:wPrime 32"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.wprime32",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "intel-core-285k",
  "record_count": 1,
  "reported_value": 2.16,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 2,
  "statistic": "median"
}
x264 (2)

x264 build unknown pass 1

424 fps

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "x264",
    "environment": {
      "backend": "CPU",
      "evidence_type": "source-aggregate",
      "metric_scope": "published benchmark grouped by hardware; mixed systems",
      "population": "Notebookcheck internal and external reviews; mixed systems",
      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
      "source_sample_count": 2,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "pass 1",
    "scene_checksum": "source-workload:benchmark.x264_pass1",
    "version": "build unknown"
  },
  "condition_id": "8f58db66babc7e91ef2d",
  "document_id": "bench-db41a6e58001ed35-9593510551dc5ce3",
  "example_record_ids": [
    "18013:x264 Pass 1"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.x264_pass1",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "intel-core-285k",
  "record_count": 1,
  "reported_value": 424,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 2,
  "statistic": "median"
}

x264 build unknown pass 2

297.75 fps

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "x264",
    "environment": {
      "backend": "CPU",
      "evidence_type": "source-aggregate",
      "metric_scope": "published benchmark grouped by hardware; mixed systems",
      "population": "Notebookcheck internal and external reviews; mixed systems",
      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
      "source_sample_count": 2,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "pass 2",
    "scene_checksum": "source-workload:benchmark.x264_pass2",
    "version": "build unknown"
  },
  "condition_id": "5a66125098b6a694ad67",
  "document_id": "bench-db41a6e58001ed35-9593510551dc5ce3",
  "example_record_ids": [
    "18013:x264 Pass 2"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.x264_pass2",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "intel-core-285k",
  "record_count": 1,
  "reported_value": 297.75,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 2,
  "statistic": "median"
}
x265 (1)

x265 build unknown encoding

45.35 fps

运行数: 0(汇总或报告值)

查看原文 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "x265",
    "environment": {
      "backend": "CPU",
      "evidence_type": "source-aggregate",
      "metric_scope": "published benchmark grouped by hardware; mixed systems",
      "population": "Notebookcheck internal and external reviews; mixed systems",
      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "Intel Core Ultra 9 285K",
      "source_model_url": "https://www.notebookcheck.net/Intel-Core-Ultra-9-285K-Arrow-Lake-S-Review-589-CPU-sacrifices-gaming-crown-to-match-AMD-Zen-5-Ryzen-9000-in-power-efficiency.901799.0.html",
      "source_sample_count": 2,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "encoding",
    "scene_checksum": "source-workload:benchmark.x265",
    "version": "build unknown"
  },
  "condition_id": "97d4c7f119257520bb66",
  "document_id": "bench-af7ce69f624f51d5-249478030648299a",
  "example_record_ids": [
    "18013:x265"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.x265",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "intel-core-285k",
  "record_count": 1,
  "reported_value": 45.35,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 2,
  "statistic": "median"
}

来源

下方列出来源使用条件与获取日期。公开数值和条件可能变化。

并排比较

交互式比较工具与世代一览目前使用英语。