AMD EPYC 9754 Bergamo AVX-512

AMD EPYC 9754 1P benchmarks with AVX-512 benchmarking and then AVX-512 disabled. Tests by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2307197-NE-AMDBERGAM43
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AVX512 On
July 16 2023
  7 Hours, 54 Minutes
AVX512 Off
July 16 2023
  11 Hours, 27 Minutes
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  9 Hours, 40 Minutes
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AMD EPYC 9754 Bergamo AVX-512 AMD EPYC 9754 1P benchmarks with AVX-512 benchmarking and then AVX-512 disabled. Tests by Michael Larabel for a future article. ,,"AVX512 On","AVX512 Off" Processor,,AMD EPYC 9754 128-Core @ 2.25GHz (128 Cores / 256 Threads),AMD EPYC 9754 128-Core @ 2.25GHz (128 Cores / 256 Threads) Motherboard,,AMD Titanite_4G (RTI1007B BIOS),AMD Titanite_4G (RTI1007B BIOS) Chipset,,AMD Device 14a4,AMD Device 14a4 Memory,,768GB,768GB Disk,,2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007,2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007 Graphics,,ASPEED,ASPEED Network,,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe OS,,Ubuntu 22.04,Ubuntu 22.04 Kernel,,5.19.0-41-generic (x86_64),5.19.0-41-generic (x86_64) Desktop,,GNOME Shell 42.5,GNOME Shell 42.5 Display Server,,X Server 1.21.1.4,X Server 1.21.1.4 Vulkan,,1.3.224,1.3.224 Compiler,,GCC 11.3.0,GCC 11.3.0 File-System,,ext4,ext4 Screen Resolution,,1024x768,1024x768 ,,"AVX512 On","AVX512 Off" "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,5925.670,4677.682 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,237.027,187.107 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,5972.187,4528.305 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,238.887,181.132 "TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,342.88,70.10 "TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,562.48,84.96 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,857.55,97.59 "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,1422.36,106.28 "TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,1632.40,109.88 "TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,104.77,39.64 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,43.11,15.91 "TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,180.77,44.46 "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,71.62,17.48 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,277.24,46.28 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,96.63,18.45 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,501.67,46.17 "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,119.32,19.89 "TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec)",HIB,417.25,46.92 "TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec)",HIB,122.81,20.78 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,73.5393,61.3689 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,858.4029,1023.1690 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1381.5669,718.3032 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,46.2608,88.9093 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,247.9653,213.6393 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,259.6468,298.0628 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,970.0568,870.9541 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,65.8909,73.3502 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,624.7370,522.1104 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,102.2238,122.2295 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,127.0611,69.3341 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,498.4779,906.9414 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,316.1679,260.7671 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,201.5964,244.1513 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,73.1459,61.1755 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,859.7119,1025.4806 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1174.75,1317.57 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,60.73,26.18 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1048.37,2423.39 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,27.08,15.06 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,2334.29,4153.59 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,27.01,14.99 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,2339.81,4170.49 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,1430.45,1190.91 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,44.84,53.79 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,118.00,57.95 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,540.35,1094.52 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,5690.34,3954.90 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,11.26,16.17 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,6073.22,2551.70 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,10.52,25.06 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,580.40,251.97 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,110.35,254.01 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,11818.33,5692.99 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,10.82,22.47 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,6638.71,3317.34 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,9.63,19.28 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,110240.89,62564.16 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.99,1.91 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,73970.12,66895.49 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,1.58,1.76 "Cpuminer-Opt - Algorithm: x25x (kH/s)",HIB,4977.89,3010.37 "Cpuminer-Opt - Algorithm: scrypt (kH/s)",HIB,2993.21,2033.15 "Cpuminer-Opt - Algorithm: Blake-2 S (kH/s)",HIB,7238650,4555580 "Cpuminer-Opt - Algorithm: Garlicoin (kH/s)",HIB,53090,39473 "Cpuminer-Opt - Algorithm: Skeincoin (kH/s)",HIB,1174953,937977 "libxsmm - M N K: 256 (GFLOPS/s)",HIB,3342.5,2415.3 "libxsmm - M N K: 128 (GFLOPS/s)",HIB,2690.7,2573.3 "Cpuminer-Opt - Algorithm: Myriad-Groestl (kH/s)",HIB,8628.76,7149.95 "Cpuminer-Opt - Algorithm: LBC, LBRY Credits (kH/s)",HIB,660660,332667 "Cpuminer-Opt - Algorithm: Quad SHA-256, Pyrite (kH/s)",HIB,1498937,876137 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,125.5414,112.2274 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,157.6450,132.9504 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,134.8396,115.2682 "OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,1398,1179 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,32.7557,19.1731 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,31.6753,18.0203 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,27.9715,19.5463 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s/Watt)",HIB,1.55,1.026 "miniBUDE - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2596.54,2529.32 "miniBUDE - CPU Power Consumption Monitor (Watts)",LIB,152.91,182.37 "miniBUDE - CPU Temperature Monitor (Celsius)",LIB,36.27,37.01 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s/Watt)",HIB,0.89,0.62 "miniBUDE - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2796.22,2696.28 "miniBUDE - CPU Power Consumption Monitor (Watts)",LIB,268.29,292.27 "miniBUDE - CPU Temperature Monitor (Celsius)",LIB,53.42,55.09 "libxsmm - M N K: 128 (GFLOPS/s/Watt)",HIB,13.066,12.527 "libxsmm - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,3087.64,3086 "libxsmm - CPU Power Consumption Monitor (Watts)",LIB,205.93,205.43 "libxsmm - CPU Temperature Monitor (Celsius)",LIB,50.34,49.14 "libxsmm - M N K: 256 (GFLOPS/s/Watt)",HIB,15.9,11.399 "libxsmm - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,3053.52,3038.32 "libxsmm - CPU Power Consumption Monitor (Watts)",LIB,210.22,211.88 "libxsmm - CPU Temperature Monitor (Celsius)",LIB,49.71,49.37 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS/Watt)",HIB,0.672,0.56 "Embree - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2511.34,2627.44 "Embree - CPU Power Consumption Monitor (Watts)",LIB,186.8,200.34 "Embree - CPU Temperature Monitor (Celsius)",LIB,43.2,44.16 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS/Watt)",HIB,0.92,0.715 "Embree - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2565.48,2583.53 "Embree - CPU Power Consumption Monitor (Watts)",LIB,171.32,186.06 "Embree - CPU Temperature Monitor (Celsius)",LIB,41.4,42.18 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS/Watt)",HIB,1.07,0.842 "Embree - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2841,2855.36 "Embree - CPU Power Consumption Monitor (Watts)",LIB,126,136.94 "Embree - CPU Temperature Monitor (Celsius)",LIB,39.29,36.72 "OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec/Watt)",HIB,5.858,4.569 "OpenVKL - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2983.53,2958.42 "OpenVKL - CPU Power Consumption Monitor (Watts)",LIB,238.66,258.07 "OpenVKL - CPU Temperature Monitor (Celsius)",LIB,53.11,54.49 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec/Watt)",HIB,0.118,0.066 "OSPRay - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2885.39,2925.73 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,276.95,290.55 "OSPRay - CPU Temperature Monitor (Celsius)",LIB,55.09,57.54 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec/Watt)",HIB,0.114,0.062 "OSPRay - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2874.99,2925.25 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,278.83,292.23 "OSPRay - CPU Temperature Monitor (Celsius)",LIB,57.17,59.73 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec/Watt)",HIB,0.106,0.072 "OSPRay - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,3023.76,3052.01 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,262.99,271.67 "OSPRay - CPU Temperature Monitor (Celsius)",LIB,55.6,57 "oneDNN - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2998.37,2824.21 "oneDNN - CPU Power Consumption Monitor (Watts)",LIB,176.75,202.02 "oneDNN - CPU Temperature Monitor (Celsius)",LIB,39.17,39.83 "Cpuminer-Opt - Algorithm: x25x (kH/s/Watt)",HIB,16.854,10.811 "Cpuminer-Opt - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2908.54,3018.62 "Cpuminer-Opt - CPU Power Consumption Monitor (Watts)",LIB,295.35,278.45 "Cpuminer-Opt - CPU Temperature Monitor (Celsius)",LIB,58.67,55.17 "Cpuminer-Opt - Algorithm: scrypt (kH/s/Watt)",HIB,8.913,6.476 "Cpuminer-Opt - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2959.08,2951.65 "Cpuminer-Opt - CPU Power Consumption Monitor (Watts)",LIB,335.83,313.97 "Cpuminer-Opt - CPU Temperature Monitor (Celsius)",LIB,66.42,63.58 "Cpuminer-Opt - Algorithm: Blake-2 S (kH/s/Watt)",HIB,22160.821,14551.236 "Cpuminer-Opt - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2925.04,2779.15 "Cpuminer-Opt - CPU Power Consumption Monitor (Watts)",LIB,326.64,313.07 "Cpuminer-Opt - CPU Temperature Monitor (Celsius)",LIB,64.01,63.97 "Cpuminer-Opt - Algorithm: Garlicoin (kH/s/Watt)",HIB,272.425,202.319 "Cpuminer-Opt - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,3058.02,3065.11 "Cpuminer-Opt - CPU Power Consumption Monitor (Watts)",LIB,194.88,195.1 "Cpuminer-Opt - CPU Temperature Monitor (Celsius)",LIB,45.44,43.7 "Cpuminer-Opt - Algorithm: Skeincoin (kH/s/Watt)",HIB,3691.562,2892.865 "Cpuminer-Opt - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2803.75,2899.47 "Cpuminer-Opt - CPU Power Consumption Monitor (Watts)",LIB,318.28,324.24 "Cpuminer-Opt - CPU Temperature Monitor (Celsius)",LIB,63.36,62.91 "Cpuminer-Opt - Algorithm: Myriad-Groestl (kH/s/Watt)",HIB,51.65,44.666 "Cpuminer-Opt - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,3020.51,3045.75 "Cpuminer-Opt - CPU Power Consumption Monitor (Watts)",LIB,167.06,160.08 "Cpuminer-Opt - CPU Temperature Monitor (Celsius)",LIB,42.22,40.92 "Cpuminer-Opt - Algorithm: LBC, LBRY Credits (kH/s/Watt)",HIB,2003.504,1052.188 "Cpuminer-Opt - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2885.64,2745.69 "Cpuminer-Opt - CPU Power Consumption Monitor (Watts)",LIB,329.75,316.17 "Cpuminer-Opt - CPU Temperature Monitor (Celsius)",LIB,63.23,59.55 "Cpuminer-Opt - Algorithm: Quad SHA-256, Pyrite (kH/s/Watt)",HIB,4347.583,2825.313 "Cpuminer-Opt - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2965.63,2918.62 "Cpuminer-Opt - CPU Power Consumption Monitor (Watts)",LIB,344.77,310.1 "Cpuminer-Opt - CPU Temperature Monitor (Celsius)",LIB,68.7,61.98 "TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec/Watt)",HIB,2.966,0.576 "TensorFlow - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2800.7,2992.29 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,115.59,121.66 "TensorFlow - CPU Temperature Monitor (Celsius)",LIB,41.12,40.33 "TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec/Watt)",HIB,4.376,0.691 "TensorFlow - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2836.18,3038.94 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,128.55,122.96 "TensorFlow - CPU Temperature Monitor (Celsius)",LIB,37.8,37.13 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec/Watt)",HIB,5.938,0.778 "TensorFlow - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2751.31,3057.33 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,144.41,125.39 "TensorFlow - CPU Temperature Monitor (Celsius)",LIB,38.29,36.5 "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec/Watt)",HIB,6.984,0.839 "TensorFlow - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2742.05,3072.51 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,203.67,126.68 "TensorFlow - CPU Temperature Monitor (Celsius)",LIB,44.8,35.96 "TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec/Watt)",HIB,7.097,0.865 "TensorFlow - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2753.56,3078.92 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,230.01,127.04 "TensorFlow - CPU Temperature Monitor (Celsius)",LIB,49.84,36.18 "TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec/Watt)",HIB,0.774,0.335 "TensorFlow - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2977.26,3032.2 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,135.4,118.42 "TensorFlow - CPU Temperature Monitor (Celsius)",LIB,38.5,35.71 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec/Watt)",HIB,0.294,0.113 "TensorFlow - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,3040.64,3074.96 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,146.59,140.27 "TensorFlow - CPU Temperature Monitor (Celsius)",LIB,38.15,37.18 "TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec/Watt)",HIB,1.138,0.36 "TensorFlow - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2992.05,3064.29 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,158.9,123.57 "TensorFlow - CPU Temperature Monitor (Celsius)",LIB,40.25,35.32 "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec/Watt)",HIB,0.407,0.124 "TensorFlow - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,3065.92,3083.66 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,176.04,141.13 "TensorFlow - CPU Temperature Monitor (Celsius)",LIB,41.82,37.55 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec/Watt)",HIB,1.476,0.369 "TensorFlow - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2995.48,3075.46 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,187.89,125.28 "TensorFlow - CPU Temperature Monitor (Celsius)",LIB,44.29,35.87 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec/Watt)",HIB,0.483,0.131 "TensorFlow - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,3021.38,3089.82 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,200.22,140.41 "TensorFlow - CPU Temperature Monitor (Celsius)",LIB,45.26,38.07 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec/Watt)",HIB,2.078,0.362 "TensorFlow - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2916.06,3085.78 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,241.46,127.43 "TensorFlow - CPU Temperature Monitor (Celsius)",LIB,50.91,36.4 "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec/Watt)",HIB,0.537,0.143 "TensorFlow - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2956.33,3085.27 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,222.08,139.18 "TensorFlow - CPU Temperature Monitor (Celsius)",LIB,48.39,38.33 "TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec/Watt)",HIB,1.766,0.369 "TensorFlow - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2973.8,3083.42 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,236.33,127.28 "TensorFlow - CPU Temperature Monitor (Celsius)",LIB,50.93,36.83 "TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec/Watt)",HIB,0.542,0.148 "TensorFlow - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,2958.12,3085.93 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,226.78,140.06 "TensorFlow - CPU Temperature Monitor (Celsius)",LIB,48.79,39.11 "Neural Magic DeepSparse - CPU Peak Freq (Highest CPU Core Frequency) Monitor (Megahertz)",HIB,3011.23,2933.49 "Neural Magic DeepSparse - 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