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MediaTek Dimensity 1000+

MediaTek Dimensity 1000+ — 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
8
출처와 조건

원문 보기 ↗

{
  "state": "known",
  "raw_label": "Total Cores",
  "raw_value": "8",
  "qualifiers": {
    "evidence_type": "review-published-specification",
    "notebookcheck_id": "12776",
    "release_status": "not independently verified",
    "source_field": "Total Cores",
    "source_product_url": "https://www.notebookcheck.net/MediaTek-Dimensity-1000-Processor-Benchmarks-and-Specs.497862.0.html",
    "source_row": 152,
    "variant_status": "GPU configuration may be pooled; CPU core variant retained"
  },
  "document_id": "platform-nb-cpu-full-9593510551dc5ce3"
}
스레드
8
출처와 조건

원문 보기 ↗

{
  "state": "known",
  "raw_label": "Total Threads",
  "raw_value": "8",
  "qualifiers": {
    "evidence_type": "review-published-specification",
    "notebookcheck_id": "12776",
    "release_status": "not independently verified",
    "source_field": "Total Threads",
    "source_product_url": "https://www.notebookcheck.net/MediaTek-Dimensity-1000-Processor-Benchmarks-and-Specs.497862.0.html",
    "source_row": 152,
    "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 (18)

AI Benchmark AI Score

269 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "APU 3.0 (6 cores)",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "nn",
      "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": "Dimensity 1000+",
      "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": "9d0d39fea59abec68aea",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Dimensity 1000+:APU 3.0 (6 cores):nn: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": "mediatek-dimensity-1000",
  "record_count": 1,
  "reported_value": 269,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark AI Score

402 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "GPU (Mali-G77 MC9)",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "gg",
      "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": "Dimensity 1000+",
      "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": "f8e03423446573a6a360",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Dimensity 1000+:GPU (Mali-G77 MC9):gg: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": "mediatek-dimensity-1000",
  "record_count": 1,
  "reported_value": 402,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark FP16 Accuracy

83.3 %

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "APU 3.0 (6 cores)",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "nn",
      "metric_semantics": "accuracy percentage",
      "population": "Published results; individual run records and exact software builds unavailable",
      "precision": "FP16",
      "settings_status": "unknown",
      "source_chipset": "Dimensity 1000+",
      "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": "43b373553bacbc1df8c6",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Dimensity 1000+:APU 3.0 (6 cores):nn: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": "mediatek-dimensity-1000",
  "record_count": 1,
  "reported_value": 83.3,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark FP16 Accuracy

89.7 %

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "GPU (Mali-G77 MC9)",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "gg",
      "metric_semantics": "accuracy percentage",
      "population": "Published results; individual run records and exact software builds unavailable",
      "precision": "FP16",
      "settings_status": "unknown",
      "source_chipset": "Dimensity 1000+",
      "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": "ac0e842a5425ae27484d",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Dimensity 1000+:GPU (Mali-G77 MC9):gg: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": "mediatek-dimensity-1000",
  "record_count": 1,
  "reported_value": 89.7,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark FP16 CNNs

132 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "APU 3.0 (6 cores)",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "nn",
      "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": "Dimensity 1000+",
      "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": "af68d8e5d06531033156",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Dimensity 1000+:APU 3.0 (6 cores):nn: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": "mediatek-dimensity-1000",
  "record_count": 1,
  "reported_value": 132,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark FP16 CNNs

140 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "GPU (Mali-G77 MC9)",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "gg",
      "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": "Dimensity 1000+",
      "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": "85f5555f715dd8b02ee1",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Dimensity 1000+:GPU (Mali-G77 MC9):gg: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": "mediatek-dimensity-1000",
  "record_count": 1,
  "reported_value": 140,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark FP16 Parallel

44 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "APU 3.0 (6 cores)",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "nn",
      "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": "Dimensity 1000+",
      "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": "2df16c98b715bcce952d",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Dimensity 1000+:APU 3.0 (6 cores):nn: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": "mediatek-dimensity-1000",
  "record_count": 1,
  "reported_value": 44,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark FP16 Parallel

38 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "GPU (Mali-G77 MC9)",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "gg",
      "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": "Dimensity 1000+",
      "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": "89337cd86a2e7ab054ba",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Dimensity 1000+:GPU (Mali-G77 MC9):gg: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": "mediatek-dimensity-1000",
  "record_count": 1,
  "reported_value": 38,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark FP16 Transformer

7.8 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "APU 3.0 (6 cores)",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "nn",
      "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": "Dimensity 1000+",
      "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": "42d284dabbcde40efacd",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Dimensity 1000+:APU 3.0 (6 cores):nn: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": "mediatek-dimensity-1000",
  "record_count": 1,
  "reported_value": 7.8,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark FP16 Transformer

39 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "GPU (Mali-G77 MC9)",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "gg",
      "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": "Dimensity 1000+",
      "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": "ac14fa8d76fc36dec8b4",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Dimensity 1000+:GPU (Mali-G77 MC9):gg: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": "mediatek-dimensity-1000",
  "record_count": 1,
  "reported_value": 39,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark INT8 Accuracy

87.2 %

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "APU 3.0 (6 cores)",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "nn",
      "metric_semantics": "accuracy percentage",
      "population": "Published results; individual run records and exact software builds unavailable",
      "precision": "INT8",
      "settings_status": "unknown",
      "source_chipset": "Dimensity 1000+",
      "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": "df50d120b2f05f285da1",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Dimensity 1000+:APU 3.0 (6 cores):nn: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": "mediatek-dimensity-1000",
  "record_count": 1,
  "reported_value": 87.2,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark INT8 Accuracy

98.6 %

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "GPU (Mali-G77 MC9)",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "gg",
      "metric_semantics": "accuracy percentage",
      "population": "Published results; individual run records and exact software builds unavailable",
      "precision": "INT8",
      "settings_status": "unknown",
      "source_chipset": "Dimensity 1000+",
      "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": "2c6574d5fa9b3bbbaf4e",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Dimensity 1000+:GPU (Mali-G77 MC9):gg: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": "mediatek-dimensity-1000",
  "record_count": 1,
  "reported_value": 98.6,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark INT8 CNNs

67 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
    "environment": {
      "accelerator": "APU 3.0 (6 cores)",
      "asset_checksum_status": "unavailable",
      "evidence_origin": "benchmark-author-reported",
      "evidence_type": "source-reported",
      "library_codes": "nn",
      "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": "Dimensity 1000+",
      "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": "6027807c1b48d2e3c26b",
  "document_id": "bench-platform-ai-ranking-44de91de5539fb06",
  "example_record_ids": [
    "Dimensity 1000+:APU 3.0 (6 cores):nn: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": "mediatek-dimensity-1000",
  "record_count": 1,
  "reported_value": 67,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark INT8 CNNs

59 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
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      "accelerator": "GPU (Mali-G77 MC9)",
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      "library_codes": "gg",
      "metric_semantics": "suite score; not TOPS or tokens/s",
      "population": "Published results; individual run records and exact software builds unavailable",
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      "settings_status": "unknown",
      "source_chipset": "Dimensity 1000+",
      "source_sample_count": null,
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    },
    "scene": "INT8 CNNs",
    "scene_checksum": "source-workload:benchmark.ai_benchmark_int8_cnns",
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  },
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    "Dimensity 1000+:GPU (Mali-G77 MC9):gg: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",
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  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark INT8 Parallel

8.9 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
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      "accelerator": "APU 3.0 (6 cores)",
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    },
    "scene": "INT8 Parallel",
    "scene_checksum": "source-workload:benchmark.ai_benchmark_int8_parallel",
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    "Dimensity 1000+:APU 3.0 (6 cores):nn:INT8 Parallel"
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  "measured_to": null,
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}

AI Benchmark INT8 Parallel

11 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
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    },
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    "Dimensity 1000+:GPU (Mali-G77 MC9):gg:INT8 Parallel"
  ],
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  "measured_to": null,
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  "population": "Published results; individual run records and exact software builds unavailable",
  "product_id": "mediatek-dimensity-1000",
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  "source_sample_count": null,
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}

AI Benchmark INT8 Transformer

22 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark",
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      "metric_semantics": "suite score; not TOPS or tokens/s",
      "population": "Published results; individual run records and exact software builds unavailable",
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      "source_chipset": "Dimensity 1000+",
      "source_sample_count": null,
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    },
    "scene": "INT8 Transformer",
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    "Dimensity 1000+:APU 3.0 (6 cores):nn:INT8 Transformer"
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  "population": "Published results; individual run records and exact software builds unavailable",
  "product_id": "mediatek-dimensity-1000",
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}

AI Benchmark INT8 Transformer

110 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
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    "benchmark": "AI Benchmark",
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      "metric_semantics": "suite score; not TOPS or tokens/s",
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      "source_chipset": "Dimensity 1000+",
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    },
    "scene": "INT8 Transformer",
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    "Dimensity 1000+:GPU (Mali-G77 MC9):gg:INT8 Transformer"
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  "population": "Published results; individual run records and exact software builds unavailable",
  "product_id": "mediatek-dimensity-1000",
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  "source_sample_count": null,
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}
AI Benchmark Power Efficiency (3)

AI Benchmark Power Efficiency fp16_fps_watt

4.7 FPS/W (source inference workload)

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
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  "condition": {
    "benchmark": "AI Benchmark Power Efficiency",
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      "accelerator": "APU 3.0 (6 cores)",
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      "evidence_type": "source-reported",
      "inference_mode": "SUSTAINED SPEED",
      "library_codes": "nn",
      "metric_semantics": "published AI workload efficiency; not game FPS/W or LLM tokens/J; per-device power methodology not independently validated",
      "population": "Published results; individual run records and exact software builds unavailable",
      "precision": "FP16",
      "settings_status": "unknown",
      "source_sample_count": null,
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    },
    "scene": "fp16_fps_watt",
    "scene_checksum": "source-workload:benchmark.ai_efficiency_fp16_fps_watt",
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  },
  "condition_id": "0715fd8cfebee2d565a2",
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    "Dimensity 1000+:APU 3.0 (6 cores):nn:SUSTAINED SPEED:fp16_fps_watt"
  ],
  "measured_from": null,
  "measured_to": null,
  "parameter_id": "benchmark.ai_efficiency_fp16_fps_watt",
  "population": "Published results; individual run records and exact software builds unavailable",
  "product_id": "mediatek-dimensity-1000",
  "record_count": 1,
  "reported_value": 4.7,
  "run_count": 0,
  "sample_status": "source-reported",
  "source_sample_count": null,
  "statistic": "reported"
}

AI Benchmark Power Efficiency int8_fps_watt

12.1 FPS/W (source inference workload)

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark Power Efficiency",
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      "library_codes": "nn",
      "metric_semantics": "published AI workload efficiency; not game FPS/W or LLM tokens/J; per-device power methodology not independently validated",
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    },
    "scene": "int8_fps_watt",
    "scene_checksum": "source-workload:benchmark.ai_efficiency_int8_fps_watt",
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    "Dimensity 1000+:APU 3.0 (6 cores):nn:SUSTAINED SPEED:int8_fps_watt"
  ],
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  "measured_to": null,
  "parameter_id": "benchmark.ai_efficiency_int8_fps_watt",
  "population": "Published results; individual run records and exact software builds unavailable",
  "product_id": "mediatek-dimensity-1000",
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}

AI Benchmark Power Efficiency score

7.5 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-reported-only",
  "condition": {
    "benchmark": "AI Benchmark Power Efficiency",
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      "metric_semantics": "published AI workload efficiency; not game FPS/W or LLM tokens/J; per-device power methodology not independently validated",
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      "precision": "mixed",
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      "source_sample_count": null,
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    },
    "scene": "score",
    "scene_checksum": "source-workload:benchmark.ai_efficiency_score",
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  "condition_id": "92c9a49e86a2095b400c",
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    "Dimensity 1000+:APU 3.0 (6 cores):nn:SUSTAINED SPEED:score"
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  "parameter_id": "benchmark.ai_efficiency_score",
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}
Geekbench (7)

Geekbench 2 CPU overall

10,598 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-aggregate-only",
  "condition": {
    "benchmark": "Geekbench",
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      "evidence_type": "source-aggregate",
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      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "MediaTek Dimensity 1000+",
      "source_model_url": "https://www.notebookcheck.net/MediaTek-Dimensity-1000-Processor-Benchmarks-and-Specs.497862.0.html",
      "source_sample_count": null,
      "statistic": "median",
      "variant_status": "source-pooled-configurations"
    },
    "scene": "CPU overall",
    "scene_checksum": "source-workload:benchmark.geekbench2",
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  },
  "condition_id": "318b008a7a7f0b85bae1",
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  "example_record_ids": [
    "12776:Geekbench 2"
  ],
  "measured_from": null,
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  "parameter_id": "benchmark.geekbench2",
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  "product_id": "mediatek-dimensity-1000",
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  "source_sample_count": null,
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}

Geekbench 4.4 64-bit multi-core

11,987 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-aggregate-only",
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      "settings_status": "unknown",
      "source_device_name": "MediaTek Dimensity 1000+",
      "source_model_url": "https://www.notebookcheck.net/MediaTek-Dimensity-1000-Processor-Benchmarks-and-Specs.497862.0.html",
      "source_sample_count": null,
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      "variant_status": "source-pooled-configurations"
    },
    "scene": "multi-core",
    "scene_checksum": "source-workload:benchmark.geekbench44_multi",
    "version": "4.4 64-bit"
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  "condition_id": "9209a615d0d9f86d0351",
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  "example_record_ids": [
    "12776:Geekbench 4.4 64 Bit Multi-Core Score"
  ],
  "measured_from": null,
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  "parameter_id": "benchmark.geekbench44_multi",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "mediatek-dimensity-1000",
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  "source_sample_count": null,
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}

Geekbench 4.4 64-bit single-core

3,688 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

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      "settings_status": "unknown",
      "source_device_name": "MediaTek Dimensity 1000+",
      "source_model_url": "https://www.notebookcheck.net/MediaTek-Dimensity-1000-Processor-Benchmarks-and-Specs.497862.0.html",
      "source_sample_count": null,
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      "variant_status": "source-pooled-configurations"
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    "scene": "single-core",
    "scene_checksum": "source-workload:benchmark.geekbench44_single",
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    "12776:Geekbench 4.4 64 Bit Single-Core Score"
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}

Geekbench 5.5 multi-core

2,762 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-aggregate-only",
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      "settings_status": "unknown",
      "source_device_name": "MediaTek Dimensity 1000+",
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    },
    "scene": "multi-core",
    "scene_checksum": "source-workload:benchmark.geekbench55_multi",
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  "condition_id": "70b79bd0e4c27cb8183e",
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    "12776:Geekbench 5.5 Multi-Core"
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  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "mediatek-dimensity-1000",
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}

Geekbench 5.5 single-core

796 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-aggregate-only",
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      "variant_status": "source-pooled-configurations"
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    "scene": "single-core",
    "scene_checksum": "source-workload:benchmark.geekbench55_single",
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    "12776:Geekbench 5.5 Single-Core"
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  "product_id": "mediatek-dimensity-1000",
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}

Geekbench 6.7 multi-core

3,034 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

{
  "comparison_readiness": "source-aggregate-only",
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      "scene_identity_status": "source-workload-id; asset checksum unavailable",
      "settings_status": "unknown",
      "source_device_name": "MediaTek Dimensity 1000+",
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      "source_sample_count": null,
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      "variant_status": "source-pooled-configurations"
    },
    "scene": "multi-core",
    "scene_checksum": "source-workload:benchmark.geekbench67_multi",
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  "example_record_ids": [
    "12776:Geekbench 6.7 Multi-Core"
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  "measured_from": null,
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  "parameter_id": "benchmark.geekbench67_multi",
  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "mediatek-dimensity-1000",
  "record_count": 1,
  "reported_value": 3034,
  "run_count": 0,
  "sample_status": "source-aggregate",
  "source_sample_count": null,
  "statistic": "median"
}

Geekbench 6.7 single-core

1,002 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

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}
JetStream (1)

JetStream 2 total

48.35 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

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      "source_device_name": "MediaTek Dimensity 1000+",
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    "12776:Jetstream 2"
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  "source_sample_count": null,
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}
Octane (1)

Octane V2 total

21,933 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

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      "source_device_name": "MediaTek Dimensity 1000+",
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      "source_sample_count": null,
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    },
    "scene": "total",
    "scene_checksum": "source-workload:benchmark.octane2",
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  },
  "condition_id": "c8edc6c7d322a2d2f7a3",
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    "12776:Octane V2 Total Score"
  ],
  "measured_from": null,
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  "product_id": "mediatek-dimensity-1000",
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  "source_sample_count": null,
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}
Speedometer (1)

Speedometer 2.0 total

50.9 runs/min

실행 수: 0 (집계·보고 값)

원문 보기 ↗

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    "scene_checksum": "source-workload:benchmark.speedometer20",
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  },
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    "12776:Speedometer 2.0"
  ],
  "measured_from": null,
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  "source_sample_count": null,
  "statistic": "median"
}
WebXPRT (1)

WebXPRT 3 overall

73 points

실행 수: 0 (집계·보고 값)

원문 보기 ↗

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  "comparison_readiness": "source-aggregate-only",
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    "benchmark": "WebXPRT",
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      "settings_status": "unknown",
      "source_device_name": "MediaTek Dimensity 1000+",
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      "source_sample_count": null,
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      "variant_status": "source-pooled-configurations"
    },
    "scene": "overall",
    "scene_checksum": "source-workload:benchmark.webxprt3",
    "version": "3"
  },
  "condition_id": "83f79547c7f8c01b1063",
  "document_id": "bench-db41a6e58001ed35-9593510551dc5ce3",
  "example_record_ids": [
    "12776:WebXPRT 3"
  ],
  "measured_from": null,
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  "population": "Notebookcheck internal and external reviews; mixed systems",
  "product_id": "mediatek-dimensity-1000",
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  "reported_value": 73,
  "run_count": 0,
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  "source_sample_count": null,
  "statistic": "median"
}

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