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
1,003 points
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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}AI Benchmark FP16 Accuracy
88.3 %
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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}AI Benchmark FP16 CNNs
382 points
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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}AI Benchmark FP16 Parallel
171 points
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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}AI Benchmark FP16 Transformer
16 points
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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}AI Benchmark INT8 Accuracy
82.4 %
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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}AI Benchmark INT8 CNNs
260 points
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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}AI Benchmark INT8 Parallel
107 points
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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}AI Benchmark INT8 Transformer
67 points
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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}AI Benchmark Power Efficiency (3)
AI Benchmark Power Efficiency fp16_fps_watt
5.1 FPS/W (source inference workload)
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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}AI Benchmark Power Efficiency int8_fps_watt
12.6 FPS/W (source inference workload)
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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}AI Benchmark Power Efficiency score
8 points
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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}Geekbench (6)
Geekbench 4.4 64-bit multi-core
12,839.5 points
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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}Geekbench 4.4 64-bit single-core
4,782 points
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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}Geekbench 5.5 multi-core
3,217 points
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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}Geekbench 5.5 single-core
1,049 points
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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}Geekbench 6.7 multi-core
3,600 points
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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}Geekbench 6.7 single-core
1,450 points
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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}WebXPRT (2)
WebXPRT 3 overall
98 points
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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}WebXPRT 4 overall
98 points
실행 수: 0 (집계·보고 값)
원문 보기 ↗
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