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NVIDIA · SOC

Tegra 3

Tegra 3 — 사양과 벤치마크. .

출처에서 확인된 사양입니다. 코어 수·클럭·메모리 용량만으로 작업 성능을 추정하지 않습니다. 측정 버전·환경·표본 수가 같은 벤치마크를 확인하세요.

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연결된 하드웨어

연산 구성

항목값과 조건
CPU 코어
4
출처와 조건

원문 보기 ↗

{
  "state": "known",
  "raw_label": "Total Cores",
  "raw_value": "4",
  "qualifiers": {
    "evidence_type": "review-published-specification",
    "notebookcheck_id": "3006",
    "release_status": "not independently verified",
    "source_field": "Total Cores",
    "source_product_url": "https://www.notebookcheck.net/NVIDIA-Tegra-3-SoC.72804.0.html",
    "source_row": 449,
    "variant_status": "GPU configuration may be pooled; CPU core variant retained"
  },
  "document_id": "platform-nb-cpu-full-9593510551dc5ce3"
}
스레드
4
출처와 조건

원문 보기 ↗

{
  "state": "known",
  "raw_label": "Total Threads",
  "raw_value": "4",
  "qualifiers": {
    "evidence_type": "review-published-specification",
    "notebookcheck_id": "3006",
    "release_status": "not independently verified",
    "source_field": "Total Threads",
    "source_product_url": "https://www.notebookcheck.net/NVIDIA-Tegra-3-SoC.72804.0.html",
    "source_row": 449,
    "variant_status": "GPU configuration may be pooled; CPU core variant retained"
  },
  "document_id": "platform-nb-cpu-full-9593510551dc5ce3"
}

공개 벤치마크

버전·장면·설정·집계 방식이 같은 결과끼리 비교하세요. 실행 수 0은 실제 실행을 새로 측정하지 않은 출처 집계·보고 값입니다.

AI Benchmark (9)

AI Benchmark AI Score

4 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "4x1.2 GHz Cortex-A9",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "cc",
      "metric_semantics": "suite score; not TOPS or tokens/s",
      "population": "Published results; individual run records and exact software builds unavailable",
      "precision": "mixed",
      "settings_status": "unknown",
      "source_chipset": "Nvidia Tegra 3",
      "source_sample_count": null,
      "statistic": "reported"
    },
    "scene": "AI Score",
    "scene_checksum": "source-workload:benchmark.ai_benchmark_ai_score",
    "version": "public ranking; build unknown"
  },
  "condition_id": "9e0337eebad28b08e5da",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Nvidia Tegra 3:4x1.2 GHz Cortex-A9:cc:AI Score"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.ai_benchmark_ai_score",
  "population": "Published results; individual run records and exact software builds unavailable",
  "product_id": "tegra-3",
  "record_count": 1,
  "reported_value": 4,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark FP16 Accuracy

100 %

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "4x1.2 GHz Cortex-A9",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "cc",
      "metric_semantics": "accuracy percentage",
      "population": "Published results; individual run records and exact software builds unavailable",
      "precision": "FP16",
      "settings_status": "unknown",
      "source_chipset": "Nvidia Tegra 3",
      "source_sample_count": null,
      "statistic": "reported"
    },
    "scene": "FP16 Accuracy",
    "scene_checksum": "source-workload:benchmark.ai_benchmark_fp16_accuracy",
    "version": "public ranking; build unknown"
  },
  "condition_id": "a695ac57604946210fdc",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Nvidia Tegra 3:4x1.2 GHz Cortex-A9:cc:FP16 Accuracy"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.ai_benchmark_fp16_accuracy",
  "population": "Published results; individual run records and exact software builds unavailable",
  "product_id": "tegra-3",
  "record_count": 1,
  "reported_value": 100,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark FP16 CNNs

0.8 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "4x1.2 GHz Cortex-A9",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "cc",
      "metric_semantics": "suite score; not TOPS or tokens/s",
      "population": "Published results; individual run records and exact software builds unavailable",
      "precision": "FP16",
      "settings_status": "unknown",
      "source_chipset": "Nvidia Tegra 3",
      "source_sample_count": null,
      "statistic": "reported"
    },
    "scene": "FP16 CNNs",
    "scene_checksum": "source-workload:benchmark.ai_benchmark_fp16_cnns",
    "version": "public ranking; build unknown"
  },
  "condition_id": "1e9bfe5dd9a71b0de812",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Nvidia Tegra 3:4x1.2 GHz Cortex-A9:cc:FP16 CNNs"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.ai_benchmark_fp16_cnns",
  "population": "Published results; individual run records and exact software builds unavailable",
  "product_id": "tegra-3",
  "record_count": 1,
  "reported_value": 0.8,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark FP16 Parallel

0.1 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "4x1.2 GHz Cortex-A9",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "cc",
      "metric_semantics": "suite score; not TOPS or tokens/s",
      "population": "Published results; individual run records and exact software builds unavailable",
      "precision": "FP16",
      "settings_status": "unknown",
      "source_chipset": "Nvidia Tegra 3",
      "source_sample_count": null,
      "statistic": "reported"
    },
    "scene": "FP16 Parallel",
    "scene_checksum": "source-workload:benchmark.ai_benchmark_fp16_parallel",
    "version": "public ranking; build unknown"
  },
  "condition_id": "986a1d921d936b854a13",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Nvidia Tegra 3:4x1.2 GHz Cortex-A9:cc:FP16 Parallel"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.ai_benchmark_fp16_parallel",
  "population": "Published results; individual run records and exact software builds unavailable",
  "product_id": "tegra-3",
  "record_count": 1,
  "reported_value": 0.1,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark FP16 Transformer

1.2 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "4x1.2 GHz Cortex-A9",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "cc",
      "metric_semantics": "suite score; not TOPS or tokens/s",
      "population": "Published results; individual run records and exact software builds unavailable",
      "precision": "FP16",
      "settings_status": "unknown",
      "source_chipset": "Nvidia Tegra 3",
      "source_sample_count": null,
      "statistic": "reported"
    },
    "scene": "FP16 Transformer",
    "scene_checksum": "source-workload:benchmark.ai_benchmark_fp16_transformer",
    "version": "public ranking; build unknown"
  },
  "condition_id": "b10985be078664e0d372",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Nvidia Tegra 3:4x1.2 GHz Cortex-A9:cc:FP16 Transformer"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.ai_benchmark_fp16_transformer",
  "population": "Published results; individual run records and exact software builds unavailable",
  "product_id": "tegra-3",
  "record_count": 1,
  "reported_value": 1.2,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark INT8 Accuracy

100 %

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "4x1.2 GHz Cortex-A9",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "cc",
      "metric_semantics": "accuracy percentage",
      "population": "Published results; individual run records and exact software builds unavailable",
      "precision": "INT8",
      "settings_status": "unknown",
      "source_chipset": "Nvidia Tegra 3",
      "source_sample_count": null,
      "statistic": "reported"
    },
    "scene": "INT8 Accuracy",
    "scene_checksum": "source-workload:benchmark.ai_benchmark_int8_accuracy",
    "version": "public ranking; build unknown"
  },
  "condition_id": "343b2a48402a50207b0f",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Nvidia Tegra 3:4x1.2 GHz Cortex-A9:cc:INT8 Accuracy"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.ai_benchmark_int8_accuracy",
  "population": "Published results; individual run records and exact software builds unavailable",
  "product_id": "tegra-3",
  "record_count": 1,
  "reported_value": 100,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark INT8 CNNs

0.7 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "4x1.2 GHz Cortex-A9",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "cc",
      "metric_semantics": "suite score; not TOPS or tokens/s",
      "population": "Published results; individual run records and exact software builds unavailable",
      "precision": "INT8",
      "settings_status": "unknown",
      "source_chipset": "Nvidia Tegra 3",
      "source_sample_count": null,
      "statistic": "reported"
    },
    "scene": "INT8 CNNs",
    "scene_checksum": "source-workload:benchmark.ai_benchmark_int8_cnns",
    "version": "public ranking; build unknown"
  },
  "condition_id": "d45726a6f8ede770fcd9",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Nvidia Tegra 3:4x1.2 GHz Cortex-A9:cc:INT8 CNNs"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.ai_benchmark_int8_cnns",
  "population": "Published results; individual run records and exact software builds unavailable",
  "product_id": "tegra-3",
  "record_count": 1,
  "reported_value": 0.7,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark INT8 Parallel

0.1 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "4x1.2 GHz Cortex-A9",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "cc",
      "metric_semantics": "suite score; not TOPS or tokens/s",
      "population": "Published results; individual run records and exact software builds unavailable",
      "precision": "INT8",
      "settings_status": "unknown",
      "source_chipset": "Nvidia Tegra 3",
      "source_sample_count": null,
      "statistic": "reported"
    },
    "scene": "INT8 Parallel",
    "scene_checksum": "source-workload:benchmark.ai_benchmark_int8_parallel",
    "version": "public ranking; build unknown"
  },
  "condition_id": "12f454a88c71bd80cffa",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Nvidia Tegra 3:4x1.2 GHz Cortex-A9:cc:INT8 Parallel"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.ai_benchmark_int8_parallel",
  "population": "Published results; individual run records and exact software builds unavailable",
  "product_id": "tegra-3",
  "record_count": 1,
  "reported_value": 0.1,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark INT8 Transformer

1.8 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "4x1.2 GHz Cortex-A9",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "cc",
      "metric_semantics": "suite score; not TOPS or tokens/s",
      "population": "Published results; individual run records and exact software builds unavailable",
      "precision": "INT8",
      "settings_status": "unknown",
      "source_chipset": "Nvidia Tegra 3",
      "source_sample_count": null,
      "statistic": "reported"
    },
    "scene": "INT8 Transformer",
    "scene_checksum": "source-workload:benchmark.ai_benchmark_int8_transformer",
    "version": "public ranking; build unknown"
  },
  "condition_id": "4ccbc8d2f2170d4b3f05",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Nvidia Tegra 3:4x1.2 GHz Cortex-A9:cc:INT8 Transformer"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.ai_benchmark_int8_transformer",
  "population": "Published results; individual run records and exact software builds unavailable",
  "product_id": "tegra-3",
  "record_count": 1,
  "reported_value": 1.8,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}
Geekbench (3)

Geekbench 2 CPU overall

1,455.5 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "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": "NVIDIA Tegra 3",
      "source_model_url": "https://www.notebookcheck.net/NVIDIA-Tegra-3-SoC.72804.0.html",
      "source_sample_count": 20,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "CPU overall",
    "scene_checksum": "source-workload:benchmark.geekbench2",
    "version": "2"
  },
  "condition_id": "2f563ac330b90b2caf1c",
  "document_id": "bench-db41a6e58001ed35-9593510551dc5ce3",
  "example_record_ids": [
    "3006:Geekbench 2"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.geekbench2",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "tegra-3",
  "record_count": 1,
  "reported_value": 1455.5,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 20,
  "statistic": "median"
}

Geekbench 3 32-bit multi-core

1,084 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "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": "NVIDIA Tegra 3",
      "source_model_url": "https://www.notebookcheck.net/NVIDIA-Tegra-3-SoC.72804.0.html",
      "source_sample_count": 2,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "multi-core",
    "scene_checksum": "source-workload:benchmark.geekbench3_multi",
    "version": "3 32-bit"
  },
  "condition_id": "ef98b1f9012850cd0fb7",
  "document_id": "bench-db41a6e58001ed35-9593510551dc5ce3",
  "example_record_ids": [
    "3006:Geekbench 3 32 Bit Multi-Core Score"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.geekbench3_multi",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "tegra-3",
  "record_count": 1,
  "reported_value": 1084,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 2,
  "statistic": "median"
}

Geekbench 3 32-bit single-core

354.5 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "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": "NVIDIA Tegra 3",
      "source_model_url": "https://www.notebookcheck.net/NVIDIA-Tegra-3-SoC.72804.0.html",
      "source_sample_count": 2,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "single-core",
    "scene_checksum": "source-workload:benchmark.geekbench3_single",
    "version": "3 32-bit"
  },
  "condition_id": "a82d248740910b78fd43",
  "document_id": "bench-db41a6e58001ed35-9593510551dc5ce3",
  "example_record_ids": [
    "3006:Geekbench 3 32 Bit Single-Core Score"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.geekbench3_single",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "tegra-3",
  "record_count": 1,
  "reported_value": 354.5,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 2,
  "statistic": "median"
}
Octane (1)

Octane V2 total

1,741 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "Octane",
    "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": "NVIDIA Tegra 3",
      "source_model_url": "https://www.notebookcheck.net/NVIDIA-Tegra-3-SoC.72804.0.html",
      "source_sample_count": null,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "total",
    "scene_checksum": "source-workload:benchmark.octane2",
    "version": "V2"
  },
  "condition_id": "88a6f3aae03f19cbc131",
  "document_id": "bench-db41a6e58001ed35-9593510551dc5ce3",
  "example_record_ids": [
    "3006:Octane V2 Total Score"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.octane2",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "tegra-3",
  "record_count": 1,
  "reported_value": 1741,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": null,
  "statistic": "median"
}
PassMark (1)

PassMark PerformanceTest Mobile V1 CPU tests

8,638 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "PassMark",
    "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": "NVIDIA Tegra 3",
      "source_model_url": "https://www.notebookcheck.net/NVIDIA-Tegra-3-SoC.72804.0.html",
      "source_sample_count": 3,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "CPU tests",
    "scene_checksum": "source-workload:benchmark.passmark_mobile_v1",
    "version": "PerformanceTest Mobile V1"
  },
  "condition_id": "bbb41600a40fc75c7478",
  "document_id": "bench-db41a6e58001ed35-9593510551dc5ce3",
  "example_record_ids": [
    "3006:PassMark PerformanceTest Mobile V1 CPU Tests"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.passmark_mobile_v1",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "tegra-3",
  "record_count": 1,
  "reported_value": 8638,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 3,
  "statistic": "median"
}
SunSpider (1)

SunSpider 1.0 total

1,257 ms

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "SunSpider",
    "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": "NVIDIA Tegra 3",
      "source_model_url": "https://www.notebookcheck.net/NVIDIA-Tegra-3-SoC.72804.0.html",
      "source_sample_count": 3,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "total",
    "scene_checksum": "source-workload:benchmark.sunspider10",
    "version": "1.0"
  },
  "condition_id": "ce6cf7093c1064909bd5",
  "document_id": "bench-db41a6e58001ed35-9593510551dc5ce3",
  "example_record_ids": [
    "3006:Sunspider 1.0 Total Score (-)"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.sunspider10",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "tegra-3",
  "record_count": 1,
  "reported_value": 1257,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": 3,
  "statistic": "median"
}

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