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.

HTML result view exported from: https://openbenchmarking.org/result/2307197-NE-AMDBERGAM43&grw&sro.

AMD EPYC 9754 Bergamo AVX-512ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionAVX512 OnAVX512 OffAMD EPYC 9754 128-Core @ 2.25GHz (128 Cores / 256 Threads)AMD Titanite_4G (RTI1007B BIOS)AMD Device 14a4768GB2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007ASPEEDBroadcom NetXtreme BCM5720 PCIeUbuntu 22.045.19.0-41-generic (x86_64)GNOME Shell 42.5X Server 1.21.1.41.3.224GCC 11.3.0ext41024x768OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa0010b Python Details- Python 3.10.6Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC 9754 Bergamo AVX-512minibude: OpenMP - BM1minibude: OpenMP - BM1minibude: OpenMP - BM2minibude: OpenMP - BM2tensorflow: CPU - 16 - AlexNettensorflow: CPU - 32 - AlexNettensorflow: CPU - 64 - AlexNettensorflow: CPU - 256 - AlexNettensorflow: CPU - 512 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 512 - GoogLeNettensorflow: CPU - 512 - ResNet-50deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUcpuminer-opt: x25xcpuminer-opt: scryptcpuminer-opt: Blake-2 Scpuminer-opt: Garlicoincpuminer-opt: Skeincoinlibxsmm: 256libxsmm: 128cpuminer-opt: Myriad-Groestlcpuminer-opt: LBC, LBRY Creditscpuminer-opt: Quad SHA-256, Pyriteembree: Pathtracer ISPC - Crownembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objopenvkl: vklBenchmark ISPCospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeAVX512 OnAVX512 Off5925.670237.0275972.187238.887342.88562.48857.551422.361632.40104.7743.11180.7771.62277.2496.63501.67119.32417.25122.8173.5393858.40291381.566946.2608247.9653259.6468970.056865.8909624.7370102.2238127.0611498.4779316.1679201.596473.1459859.71191174.7560.731048.3727.082334.2927.012339.811430.4544.84118.00540.355690.3411.266073.2210.52580.40110.3511818.3310.826638.719.63110240.890.9973970.121.584977.892993.2172386505309011749533342.52690.78628.766606601498937125.5414157.6450134.8396139832.755731.675327.97154677.682187.1074528.305181.13270.1084.9697.59106.28109.8839.6415.9144.4617.4846.2818.4546.1719.8946.9220.7861.36891023.1690718.303288.9093213.6393298.0628870.954173.3502522.1104122.229569.3341906.9414260.7671244.151361.17551025.48061317.5726.182423.3915.064153.5914.994170.491190.9153.7957.951094.523954.9016.172551.7025.06251.97254.015692.9922.473317.3419.2862564.161.9166895.491.763010.372033.154555580394739379772415.32573.37149.95332667876137112.2274132.9504115.2682117919.173118.020319.5463OpenBenchmarking.org

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1AVX512 OffAVX512 On13002600390052006500SE +/- 18.03, N = 8SE +/- 2.27, N = 94677.685925.671. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1AVX512 OffAVX512 On50100150200250SE +/- 0.72, N = 8SE +/- 0.09, N = 9187.11237.031. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2AVX512 OffAVX512 On13002600390052006500SE +/- 15.49, N = 3SE +/- 0.44, N = 34528.315972.191. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2AVX512 OffAVX512 On50100150200250SE +/- 0.62, N = 3SE +/- 0.02, N = 3181.13238.891. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

TensorFlow

Device: CPU - Batch Size: 16 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: AlexNetAVX512 OffAVX512 On70140210280350SE +/- 0.29, N = 3SE +/- 0.70, N = 670.10342.88

TensorFlow

Device: CPU - Batch Size: 32 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: AlexNetAVX512 OffAVX512 On120240360480600SE +/- 0.16, N = 3SE +/- 2.06, N = 684.96562.48

TensorFlow

Device: CPU - Batch Size: 64 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: AlexNetAVX512 OffAVX512 On2004006008001000SE +/- 0.08, N = 3SE +/- 1.99, N = 597.59857.55

TensorFlow

Device: CPU - Batch Size: 256 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: AlexNetAVX512 OffAVX512 On30060090012001500SE +/- 0.24, N = 3SE +/- 6.55, N = 3106.281422.36

TensorFlow

Device: CPU - Batch Size: 512 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: AlexNetAVX512 OffAVX512 On400800120016002000SE +/- 0.06, N = 3SE +/- 1.53, N = 3109.881632.40

TensorFlow

Device: CPU - Batch Size: 16 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNetAVX512 OffAVX512 On20406080100SE +/- 0.17, N = 3SE +/- 1.96, N = 1539.64104.77

TensorFlow

Device: CPU - Batch Size: 16 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50AVX512 OffAVX512 On1020304050SE +/- 0.05, N = 3SE +/- 0.03, N = 315.9143.11

TensorFlow

Device: CPU - Batch Size: 32 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: GoogLeNetAVX512 OffAVX512 On4080120160200SE +/- 0.10, N = 3SE +/- 3.09, N = 1544.46180.77

TensorFlow

Device: CPU - Batch Size: 32 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50AVX512 OffAVX512 On1632486480SE +/- 0.04, N = 3SE +/- 0.23, N = 317.4871.62

TensorFlow

Device: CPU - Batch Size: 64 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: GoogLeNetAVX512 OffAVX512 On60120180240300SE +/- 0.18, N = 3SE +/- 2.62, N = 1546.28277.24

TensorFlow

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50AVX512 OffAVX512 On20406080100SE +/- 0.03, N = 3SE +/- 0.06, N = 318.4596.63

TensorFlow

Device: CPU - Batch Size: 256 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: GoogLeNetAVX512 OffAVX512 On110220330440550SE +/- 0.06, N = 3SE +/- 4.92, N = 346.17501.67

TensorFlow

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: ResNet-50AVX512 OffAVX512 On306090120150SE +/- 0.02, N = 3SE +/- 1.01, N = 1219.89119.32

TensorFlow

Device: CPU - Batch Size: 512 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: GoogLeNetAVX512 OffAVX512 On90180270360450SE +/- 0.05, N = 3SE +/- 5.30, N = 1246.92417.25

TensorFlow

Device: CPU - Batch Size: 512 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: ResNet-50AVX512 OffAVX512 On306090120150SE +/- 0.04, N = 3SE +/- 0.99, N = 320.78122.81

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On1632486480SE +/- 0.02, N = 3SE +/- 0.14, N = 361.3773.54

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On2004006008001000SE +/- 1.40, N = 3SE +/- 0.33, N = 31023.17858.40

Neural Magic DeepSparse

Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On30060090012001500SE +/- 5.33, N = 3SE +/- 1.58, N = 3718.301381.57

Neural Magic DeepSparse

Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On20406080100SE +/- 0.67, N = 3SE +/- 0.05, N = 388.9146.26

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On50100150200250SE +/- 0.14, N = 3SE +/- 7.49, N = 15213.64247.97

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On60120180240300SE +/- 0.24, N = 3SE +/- 6.02, N = 15298.06259.65

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On2004006008001000SE +/- 0.45, N = 3SE +/- 0.42, N = 3870.95970.06

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On1632486480SE +/- 0.04, N = 3SE +/- 0.03, N = 373.3565.89

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On130260390520650SE +/- 0.58, N = 3SE +/- 0.52, N = 3522.11624.74

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On306090120150SE +/- 0.15, N = 3SE +/- 0.07, N = 3122.23102.22

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On306090120150SE +/- 0.03, N = 3SE +/- 0.01, N = 369.33127.06

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On2004006008001000SE +/- 0.94, N = 3SE +/- 0.16, N = 3906.94498.48

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On70140210280350SE +/- 0.63, N = 3SE +/- 0.78, N = 3260.77316.17

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On50100150200250SE +/- 0.64, N = 3SE +/- 0.47, N = 3244.15201.60

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On1632486480SE +/- 0.13, N = 3SE +/- 0.19, N = 361.1873.15

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On2004006008001000SE +/- 1.31, N = 3SE +/- 0.45, N = 31025.48859.71

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUAVX512 OffAVX512 On30060090012001500SE +/- 1.80, N = 3SE +/- 12.60, N = 41317.571174.75MIN: 1299.38MIN: 1143.881. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUAVX512 OffAVX512 On1428425670SE +/- 0.36, N = 3SE +/- 0.06, N = 326.1860.731. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUAVX512 OffAVX512 On5001000150020002500SE +/- 26.84, N = 3SE +/- 0.42, N = 32423.391048.37MIN: 1130.42 / MAX: 2937.22MIN: 508.1 / MAX: 1159.41. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUAVX512 OffAVX512 On612182430SE +/- 0.21, N = 3SE +/- 0.30, N = 1215.0627.081. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUAVX512 OffAVX512 On9001800270036004500SE +/- 59.43, N = 3SE +/- 22.79, N = 124153.592334.29MIN: 1975.28 / MAX: 5152.66MIN: 1017.83 / MAX: 3101.051. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUAVX512 OffAVX512 On612182430SE +/- 0.16, N = 5SE +/- 0.18, N = 1214.9927.011. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUAVX512 OffAVX512 On9001800270036004500SE +/- 41.79, N = 5SE +/- 14.83, N = 124170.492339.81MIN: 1759.65 / MAX: 4969.5MIN: 1045.35 / MAX: 3232.691. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUAVX512 OffAVX512 On30060090012001500SE +/- 15.59, N = 14SE +/- 22.93, N = 151190.911430.451. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUAVX512 OffAVX512 On1224364860SE +/- 0.62, N = 14SE +/- 0.60, N = 1553.7944.84MIN: 13.85 / MAX: 136.83MIN: 8.1 / MAX: 137.011. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On306090120150SE +/- 0.03, N = 3SE +/- 0.02, N = 357.95118.001. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On2004006008001000SE +/- 0.34, N = 3SE +/- 0.07, N = 31094.52540.35MIN: 509.48 / MAX: 1179.63MIN: 257.81 / MAX: 586.561. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On12002400360048006000SE +/- 2.12, N = 3SE +/- 89.26, N = 153954.905690.341. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On48121620SE +/- 0.01, N = 3SE +/- 0.15, N = 1516.1711.26MIN: 8.44 / MAX: 56.88MIN: 4.37 / MAX: 45.061. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUAVX512 OffAVX512 On13002600390052006500SE +/- 0.56, N = 3SE +/- 1.32, N = 32551.706073.221. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUAVX512 OffAVX512 On612182430SE +/- 0.01, N = 3SE +/- 0.00, N = 325.0610.52MIN: 13.08 / MAX: 57.02MIN: 5.11 / MAX: 34.371. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUAVX512 OffAVX512 On130260390520650SE +/- 3.15, N = 15SE +/- 7.10, N = 15251.97580.401. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUAVX512 OffAVX512 On60120180240300SE +/- 2.83, N = 15SE +/- 1.22, N = 15254.01110.35MIN: 116.71 / MAX: 398.88MIN: 49.7 / MAX: 183.591. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On3K6K9K12K15KSE +/- 1.65, N = 3SE +/- 1.17, N = 35692.9911818.331. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On510152025SE +/- 0.01, N = 3SE +/- 0.00, N = 322.4710.82MIN: 10.87 / MAX: 43.5MIN: 5 / MAX: 31.441. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUAVX512 OffAVX512 On14002800420056007000SE +/- 26.07, N = 15SE +/- 13.51, N = 33317.346638.711. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUAVX512 OffAVX512 On510152025SE +/- 0.14, N = 15SE +/- 0.02, N = 319.289.63MIN: 10.31 / MAX: 50.61MIN: 6.4 / MAX: 33.261. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUAVX512 OffAVX512 On20K40K60K80K100KSE +/- 278.13, N = 3SE +/- 314.35, N = 362564.16110240.891. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUAVX512 OffAVX512 On0.42980.85961.28941.71922.149SE +/- 0.01, N = 3SE +/- 0.00, N = 31.910.99MIN: 0.67 / MAX: 19.48MIN: 0.35 / MAX: 19.471. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAVX512 OffAVX512 On16K32K48K64K80KSE +/- 20.10, N = 3SE +/- 95.74, N = 366895.4973970.121. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAVX512 OffAVX512 On0.3960.7921.1881.5841.98SE +/- 0.00, N = 3SE +/- 0.00, N = 31.761.58MIN: 0.64 / MAX: 19.6MIN: 0.55 / MAX: 17.781. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

Cpuminer-Opt

Algorithm: x25x

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xAVX512 OffAVX512 On11002200330044005500SE +/- 35.48, N = 4SE +/- 15.71, N = 33010.374977.891. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: scrypt

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptAVX512 OffAVX512 On6001200180024003000SE +/- 0.24, N = 3SE +/- 1.66, N = 32033.152993.211. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Blake-2 S

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Blake-2 SAVX512 OffAVX512 On1.6M3.2M4.8M6.4M8MSE +/- 37514.23, N = 15SE +/- 3854.05, N = 3455558072386501. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Garlicoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinAVX512 OffAVX512 On11K22K33K44K55KSE +/- 102.69, N = 3SE +/- 110.15, N = 339473530901. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Skeincoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinAVX512 OffAVX512 On300K600K900K1200K1500KSE +/- 1811.04, N = 3SE +/- 4577.90, N = 393797711749531. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

libxsmm

M N K: 256

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 256AVX512 OffAVX512 On7001400210028003500SE +/- 6.53, N = 3SE +/- 5.78, N = 32415.33342.51. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

libxsmm

M N K: 128

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 128AVX512 OffAVX512 On6001200180024003000SE +/- 2.70, N = 3SE +/- 12.20, N = 32573.32690.71. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

Cpuminer-Opt

Algorithm: Myriad-Groestl

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlAVX512 OffAVX512 On2K4K6K8K10KSE +/- 21.55, N = 3SE +/- 340.56, N = 157149.958628.761. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: LBC, LBRY Credits

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsAVX512 OffAVX512 On140K280K420K560K700KSE +/- 141.93, N = 3SE +/- 76.38, N = 33326676606601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Quad SHA-256, Pyrite

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteAVX512 OffAVX512 On300K600K900K1200K1500KSE +/- 2198.34, N = 3SE +/- 3455.26, N = 387613714989371. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: CrownAVX512 OffAVX512 On306090120150SE +/- 0.11, N = 7SE +/- 0.09, N = 7112.23125.54MIN: 109.49 / MAX: 117.02MIN: 122.35 / MAX: 131.95

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian DragonAVX512 OffAVX512 On306090120150SE +/- 0.11, N = 7SE +/- 0.09, N = 8132.95157.65MIN: 130.4 / MAX: 138.16MIN: 155.33 / MAX: 162.92

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian Dragon ObjAVX512 OffAVX512 On306090120150SE +/- 0.08, N = 4SE +/- 0.16, N = 4115.27134.84MIN: 113.48 / MAX: 119.15MIN: 132.49 / MAX: 139

OpenVKL

Benchmark: vklBenchmark ISPC

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCAVX512 OffAVX512 On30060090012001500SE +/- 0.33, N = 3SE +/- 2.65, N = 311791398MIN: 178 / MAX: 10473MIN: 229 / MAX: 11779

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeAVX512 OffAVX512 On816243240SE +/- 0.02, N = 3SE +/- 0.01, N = 319.1732.76

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeAVX512 OffAVX512 On714212835SE +/- 0.00, N = 3SE +/- 0.02, N = 318.0231.68

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeAVX512 OffAVX512 On714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 319.5527.97

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1AVX512 OffAVX512 On0.34880.69761.04641.39521.7441.0261.550

miniBUDE

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225025293096AVX512 On225025973098OpenBenchmarking.orgMegahertz, More Is BetterminiBUDE 20210901CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off19.5182.4337.5AVX512 On19.2152.9317.5OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor80160240320400

miniBUDE

CPU Temperature Monitor

MinAvgMaxAVX512 Off20.837.052.8AVX512 On23.336.350.8OpenBenchmarking.orgCelsius, Fewer Is BetterminiBUDE 20210901CPU Temperature Monitor1530456075

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2AVX512 OffAVX512 On0.20030.40060.60090.80121.00150.620.89

miniBUDE

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225026963098AVX512 On225027963014OpenBenchmarking.orgMegahertz, More Is BetterminiBUDE 20210901CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off19.7292.3341.7AVX512 On19.7268.3323.2OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor80160240320400

miniBUDE

CPU Temperature Monitor

MinAvgMaxAVX512 Off27.955.164.1AVX512 On29.353.462.3OpenBenchmarking.orgCelsius, Fewer Is BetterminiBUDE 20210901CPU Temperature Monitor20406080100

libxsmm

M N K: 128

OpenBenchmarking.orgGFLOPS/s Per Watt, More Is Betterlibxsmm 2-1.17-3645M N K: 128AVX512 OffAVX512 On369121512.5313.07

libxsmm

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is Betterlibxsmm 2-1.17-3645CPU Peak Freq (Highest CPU Core Frequency) MonitorAVX512 OffAVX512 On5001000150020002500Min: 2250 / Avg: 3086 / Max: 3117Min: 2250 / Avg: 3087.64 / Max: 3133

libxsmm

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645CPU Power Consumption MonitorAVX512 OffAVX512 On60120180240300Min: 20.58 / Avg: 205.43 / Max: 327.08Min: 20.28 / Avg: 205.93 / Max: 329.89

libxsmm

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is Betterlibxsmm 2-1.17-3645CPU Temperature MonitorAVX512 OffAVX512 On1122334455Min: 35.5 / Avg: 49.14 / Max: 50.88Min: 35.75 / Avg: 50.34 / Max: 53.25

libxsmm

M N K: 256

OpenBenchmarking.orgGFLOPS/s Per Watt, More Is Betterlibxsmm 2-1.17-3645M N K: 256AVX512 OffAVX512 On4812162011.4015.90

libxsmm

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off223930383143AVX512 On225030543135OpenBenchmarking.orgMegahertz, More Is Betterlibxsmm 2-1.17-3645CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

libxsmm

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.7211.9335.7AVX512 On20.5210.2340.2OpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645CPU Power Consumption Monitor80160240320400

libxsmm

CPU Temperature Monitor

MinAvgMaxAVX512 Off33.549.453.3AVX512 On34.449.754.3OpenBenchmarking.orgCelsius, Fewer Is Betterlibxsmm 2-1.17-3645CPU Temperature Monitor1530456075

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: CrownAVX512 OffAVX512 On0.15120.30240.45360.60480.7560.5600.672

Embree

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225026273097AVX512 On225025113101OpenBenchmarking.orgMegahertz, More Is BetterEmbree 4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Embree

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.6200.3339.8AVX512 On20.3186.8333.7OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.1CPU Power Consumption Monitor80160240320400

Embree

CPU Temperature Monitor

MinAvgMaxAVX512 Off33.344.252.8AVX512 On33.543.251.3OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 4.1CPU Temperature Monitor1530456075

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian DragonAVX512 OffAVX512 On0.2070.4140.6210.8281.0350.7150.920

Embree

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225025843096AVX512 On225025653098OpenBenchmarking.orgMegahertz, More Is BetterEmbree 4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Embree

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.4186.1333.2AVX512 On20.1171.3327.2OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.1CPU Power Consumption Monitor80160240320400

Embree

CPU Temperature Monitor

MinAvgMaxAVX512 Off33.542.250.0AVX512 On33.541.448.9OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 4.1CPU Temperature Monitor1428425670

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian Dragon ObjAVX512 OffAVX512 On0.24080.48160.72240.96321.2040.8421.070

Embree

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225028553098AVX512 On225028413101OpenBenchmarking.orgMegahertz, More Is BetterEmbree 4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Embree

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.2136.9330.7AVX512 On20.3126.0325.6OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.1CPU Power Consumption Monitor80160240320400

Embree

CPU Temperature Monitor

MinAvgMaxAVX512 Off32.536.747.0AVX512 On32.539.347.0OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 4.1CPU Temperature Monitor1428425670

OpenVKL

Benchmark: vklBenchmark ISPC

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCAVX512 OffAVX512 On1.31812.63623.95435.27246.59054.5695.858

OpenVKL

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 1.3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorAVX512 OffAVX512 On5001000150020002500Min: 2250 / Avg: 2958.42 / Max: 3128Min: 2250 / Avg: 2983.53 / Max: 3118

OpenVKL

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 1.3.1CPU Power Consumption MonitorAVX512 OffAVX512 On60120180240300Min: 10.21 / Avg: 258.07 / Max: 348.15Min: 19.9 / Avg: 238.66 / Max: 322.17

OpenVKL

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 1.3.1CPU Temperature MonitorAVX512 OffAVX512 On1326395265Min: 30.38 / Avg: 54.49 / Max: 64.75Min: 30.63 / Avg: 53.11 / Max: 62.25

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeAVX512 OffAVX512 On0.02660.05320.07980.10640.1330.0660.118

OSPRay

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225029263096AVX512 On225028853099OpenBenchmarking.orgMegahertz, More Is BetterOSPRay 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OSPRay

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.8290.6346.2AVX512 On20.1276.9329.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor100200300400500

OSPRay

CPU Temperature Monitor

MinAvgMaxAVX512 Off32.057.565.3AVX512 On33.555.163.3OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay 2.12CPU Temperature Monitor20406080100

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeAVX512 OffAVX512 On0.02570.05140.07710.10280.12850.0620.114

OSPRay

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225029253101AVX512 On225028753096OpenBenchmarking.orgMegahertz, More Is BetterOSPRay 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OSPRay

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.9292.2347.0AVX512 On20.9278.8332.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor100200300400500

OSPRay

CPU Temperature Monitor

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OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

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OSPRay

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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OSPRay

CPU Power Consumption Monitor

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OSPRay

CPU Temperature Monitor

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oneDNN

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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oneDNN

CPU Power Consumption Monitor

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oneDNN

CPU Temperature Monitor

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Cpuminer-Opt

Algorithm: x25x

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Cpuminer-Opt

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Cpuminer-Opt

CPU Power Consumption Monitor

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Cpuminer-Opt

CPU Temperature Monitor

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Cpuminer-Opt

Algorithm: scrypt

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Cpuminer-Opt

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Cpuminer-Opt

CPU Power Consumption Monitor

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Cpuminer-Opt

CPU Temperature Monitor

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Cpuminer-Opt

Algorithm: Blake-2 S

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Cpuminer-Opt

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Cpuminer-Opt

CPU Power Consumption Monitor

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Cpuminer-Opt

CPU Temperature Monitor

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Cpuminer-Opt

Algorithm: Garlicoin

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Cpuminer-Opt

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Cpuminer-Opt

CPU Power Consumption Monitor

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Cpuminer-Opt

CPU Temperature Monitor

MinAvgMaxAVX512 Off36.843.746.6AVX512 On38.145.447.9OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor1428425670

Cpuminer-Opt

Algorithm: Skeincoin

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Cpuminer-Opt

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Cpuminer-Opt

CPU Power Consumption Monitor

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Cpuminer-Opt

CPU Temperature Monitor

MinAvgMaxAVX512 Off33.062.971.9AVX512 On34.463.471.9OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor20406080100

Cpuminer-Opt

Algorithm: Myriad-Groestl

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Cpuminer-Opt

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Cpuminer-Opt

CPU Power Consumption Monitor

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Cpuminer-Opt

CPU Temperature Monitor

MinAvgMaxAVX512 Off33.940.944.6AVX512 On34.942.247.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor1428425670

Cpuminer-Opt

Algorithm: LBC, LBRY Credits

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Cpuminer-Opt

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.7316.2362.0AVX512 On20.3329.8380.7OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor100200300400500

Cpuminer-Opt

CPU Temperature Monitor

MinAvgMaxAVX512 Off30.659.571.9AVX512 On32.063.272.8OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor20406080100

Cpuminer-Opt

Algorithm: Quad SHA-256, Pyrite

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Cpuminer-Opt

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off11.0310.1352.7AVX512 On21.1344.8398.4OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor110220330440550

Cpuminer-Opt

CPU Temperature Monitor

MinAvgMaxAVX512 Off38.662.068.1AVX512 On40.568.774.3OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor20406080100

TensorFlow

Device: CPU - Batch Size: 16 - Model: AlexNet

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TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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TensorFlow

CPU Power Consumption Monitor

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TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 Off33.940.349.4AVX512 On34.941.149.4OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1428425670

TensorFlow

Device: CPU - Batch Size: 32 - Model: AlexNet

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TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.5123.0139.4AVX512 On20.3128.6210.9OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor60120180240300

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 Off30.537.145.6AVX512 On32.037.845.3OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1224364860

TensorFlow

Device: CPU - Batch Size: 64 - Model: AlexNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: AlexNetAVX512 OffAVX512 On1.33612.67224.00835.34446.68050.7785.938

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off19.9125.4141.0AVX512 On20.2144.4224.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor60120180240300

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 Off30.436.546.4AVX512 On30.638.345.5OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1428425670

TensorFlow

Device: CPU - Batch Size: 256 - Model: AlexNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: AlexNetAVX512 OffAVX512 On2468100.8396.984

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225030733166AVX512 On225027423102OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.0126.7155.1AVX512 On20.1203.7257.0OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor70140210280350

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 Off28.836.047.9AVX512 On30.944.852.3OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1530456075

TensorFlow

Device: CPU - Batch Size: 512 - Model: AlexNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: AlexNetAVX512 OffAVX512 On2468100.8657.097

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) MonitorAVX512 OffAVX512 On6001200180024003000Min: 2203 / Avg: 3078.92 / Max: 3359Min: 2250 / Avg: 2753.56 / Max: 3095

TensorFlow

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption MonitorAVX512 OffAVX512 On50100150200250Min: 20.3 / Avg: 127.04 / Max: 189.92Min: 20.26 / Avg: 230.01 / Max: 283.14

TensorFlow

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature MonitorAVX512 OffAVX512 On1122334455Min: 28.75 / Avg: 36.18 / Max: 47.38Min: 33.88 / Avg: 49.84 / Max: 55.75

TensorFlow

Device: CPU - Batch Size: 16 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNetAVX512 OffAVX512 On0.17420.34840.52260.69680.8710.3350.774

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225030323208AVX512 On225029773320OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.1118.4140.5AVX512 On19.8135.4179.1OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor50100150200250

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 Off29.135.747.9AVX512 On33.038.545.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1428425670

TensorFlow

Device: CPU - Batch Size: 16 - Model: ResNet-50

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50AVX512 OffAVX512 On0.06620.13240.19860.26480.3310.1130.294

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225030753217AVX512 On225030413348OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.2140.3151.8AVX512 On20.1146.6171.4OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor50100150200250

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 Off28.837.248.8AVX512 On30.438.144.6OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1428425670

TensorFlow

Device: CPU - Batch Size: 32 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: GoogLeNetAVX512 OffAVX512 On0.25610.51220.76831.02441.28050.3601.138

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225030643197AVX512 On225029923472OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.2123.6149.7AVX512 On20.3158.9208.4OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor60120180240300

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 Off29.335.347.1AVX512 On30.840.349.9OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1428425670

TensorFlow

Device: CPU - Batch Size: 32 - Model: ResNet-50

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TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225030843221AVX512 On225030663438OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.1141.1172.9AVX512 On20.0176.0204.8OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor50100150200250

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 Off28.337.551.6AVX512 On31.341.848.6OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1530456075

TensorFlow

Device: CPU - Batch Size: 64 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: GoogLeNetAVX512 OffAVX512 On0.33210.66420.99631.32841.66050.3691.476

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225030753309AVX512 On225029953532OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off19.9125.3152.5AVX512 On20.1187.9236.9OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor60120180240300

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 Off29.935.949.0AVX512 On32.544.352.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1530456075

TensorFlow

Device: CPU - Batch Size: 64 - Model: ResNet-50

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TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225030903249AVX512 On225030213283OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.1140.4179.7AVX512 On20.6200.2230.6OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor60120180240300

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 Off28.838.151.6AVX512 On33.545.353.3OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1530456075

TensorFlow

Device: CPU - Batch Size: 256 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: GoogLeNetAVX512 OffAVX512 On0.46760.93521.40281.87042.3380.3622.078

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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TensorFlow

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption MonitorAVX512 OffAVX512 On50100150200250Min: 20.1 / Avg: 127.43 / Max: 214.25Min: 19.85 / Avg: 241.46 / Max: 277.92

TensorFlow

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature MonitorAVX512 OffAVX512 On1224364860Min: 29.75 / Avg: 36.4 / Max: 52.13Min: 34.38 / Avg: 50.91 / Max: 58.88

TensorFlow

Device: CPU - Batch Size: 256 - Model: ResNet-50

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TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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TensorFlow

CPU Power Consumption Monitor

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TensorFlow

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature MonitorAVX512 OffAVX512 On1122334455Min: 29 / Avg: 38.33 / Max: 53.13Min: 37.63 / Avg: 48.39 / Max: 57.63

TensorFlow

Device: CPU - Batch Size: 512 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: GoogLeNetAVX512 OffAVX512 On0.39740.79481.19221.58961.9870.3691.766

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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TensorFlow

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption MonitorAVX512 OffAVX512 On50100150200250Min: 19.97 / Avg: 127.28 / Max: 218.04Min: 10.84 / Avg: 236.33 / Max: 283.4

TensorFlow

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature MonitorAVX512 OffAVX512 On1224364860Min: 30.13 / Avg: 36.83 / Max: 51.13Min: 34.63 / Avg: 50.93 / Max: 58.38

TensorFlow

Device: CPU - Batch Size: 512 - Model: ResNet-50

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TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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TensorFlow

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption MonitorAVX512 OffAVX512 On50100150200250Min: 20.22 / Avg: 140.06 / Max: 209.42Min: 20.5 / Avg: 226.78 / Max: 289.01

TensorFlow

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature MonitorAVX512 OffAVX512 On1122334455Min: 29.38 / Avg: 39.11 / Max: 54.13Min: 35.38 / Avg: 48.79 / Max: 57.5

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.7244.1344.4AVX512 On20.4253.4358.2OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption Monitor100200300400500

Neural Magic DeepSparse

CPU Temperature Monitor

MinAvgMaxAVX512 Off30.654.570.5AVX512 On34.657.571.4OpenBenchmarking.orgCelsius, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Temperature Monitor20406080100

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225030153127AVX512 On225030263124OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.3234.7326.7AVX512 On21.1250.2321.3OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption Monitor80160240320400

Neural Magic DeepSparse

CPU Temperature Monitor

MinAvgMaxAVX512 Off38.153.864.3AVX512 On39.458.167.6OpenBenchmarking.orgCelsius, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Temperature Monitor20406080100

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225030233152AVX512 On225030023416OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.0228.6329.0AVX512 On10.5234.1342.4OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption Monitor80160240320400

Neural Magic DeepSparse

CPU Temperature Monitor

MinAvgMaxAVX512 Off38.152.965.8AVX512 On38.653.166.5OpenBenchmarking.orgCelsius, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Temperature Monitor20406080100

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225029623101AVX512 On225030123134OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.0284.5342.1AVX512 On21.1279.2332.9OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption Monitor80160240320400

Neural Magic DeepSparse

CPU Temperature Monitor

MinAvgMaxAVX512 Off40.065.272.9AVX512 On39.862.870.4OpenBenchmarking.orgCelsius, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Temperature Monitor20406080100

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225029313101AVX512 On225030343099OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.0256.2320.4AVX512 On20.8255.7320.6OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption Monitor80160240320400

Neural Magic DeepSparse

CPU Temperature Monitor

MinAvgMaxAVX512 Off41.060.768.5AVX512 On39.160.467.1OpenBenchmarking.orgCelsius, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Temperature Monitor20406080100

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225030483116AVX512 On225030063115OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.5235.2340.9AVX512 On20.6228.3324.5OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption Monitor80160240320400

Neural Magic DeepSparse

CPU Temperature Monitor

MinAvgMaxAVX512 Off40.054.069.1AVX512 On38.153.166.1OpenBenchmarking.orgCelsius, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Temperature Monitor20406080100

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225029403122AVX512 On225030133127OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.8247.7347.3AVX512 On20.6247.7358.6OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption Monitor100200300400500

Neural Magic DeepSparse

CPU Temperature Monitor

MinAvgMaxAVX512 Off38.458.370.5AVX512 On36.057.770.9OpenBenchmarking.orgCelsius, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Temperature Monitor20406080100

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225029523146AVX512 On225030063135OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.2245.5344.8AVX512 On20.7244.3357.9OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption Monitor100200300400500

Neural Magic DeepSparse

CPU Temperature Monitor

MinAvgMaxAVX512 Off38.958.370.9AVX512 On37.357.670.9OpenBenchmarking.orgCelsius, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Temperature Monitor20406080100

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225024913096AVX512 On225027083101OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.1286.8325.8AVX512 On21.1315.2358.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 Off39.859.368.1AVX512 On38.663.170.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225026493132AVX512 On225029313185OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.3283.3329.0AVX512 On19.8306.5359.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 Off37.657.467.6AVX512 On41.361.273.4OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225026453103AVX512 On225029363426OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.0292.7340.3AVX512 On20.8306.2358.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 Off36.558.072.4AVX512 On37.660.672.9OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off224129183105AVX512 On225030293257OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.0266.8326.8AVX512 On20.7256.0333.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 Off36.853.962.3AVX512 On36.851.757.5OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225026883124AVX512 On225026963116OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.2323.5369.0AVX512 On20.5295.4336.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 Off35.865.576.1AVX512 On34.459.570.5OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225026593098AVX512 On225027053121OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.2330.4358.0AVX512 On20.8306.3336.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 Off42.167.772.8AVX512 On40.059.266.6OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225023733112AVX512 On225027183095OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.3288.2311.1AVX512 On21.2327.7354.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 Off41.961.164.3AVX512 On36.864.269.9OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off221425373101AVX512 On225026613111OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.2292.9331.3AVX512 On10.9295.1345.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 Off41.056.764.6AVX512 On40.557.365.8OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225026713102AVX512 On225026193137OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.1336.6365.0AVX512 On21.1306.8333.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 Off36.867.473.3AVX512 On36.861.366.1OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225024833131AVX512 On225026793096OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.1293.4328.1AVX512 On21.6308.5346.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 Off41.057.164.8AVX512 On40.560.666.6OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225025903101AVX512 On225028923097OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.0298.9332.9AVX512 On21.2316.4347.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 Off37.361.868.0AVX512 On41.064.670.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225026263099AVX512 On225027613119OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.2308.2334.1AVX512 On21.4311.4336.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 Off41.063.969.0AVX512 On41.463.468.1OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

CPU Peak Freq (Highest CPU Core Frequency) Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringAVX512 OffAVX512 On6001200180024003000Min: 2203 / Avg: 2979.69 / Max: 3559Min: 2250 / Avg: 2918.06 / Max: 3532

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringAVX512 OffAVX512 On70140210280350Min: 10.15 / Avg: 179.15 / Max: 378.14Min: 10.25 / Avg: 231.36 / Max: 398.39

CPU Temperature Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringAVX512 OffAVX512 On1530456075Min: 20.75 / Avg: 44.22 / Max: 76.13Min: 23.25 / Avg: 51.4 / Max: 74.25

Phoronix Test Suite v10.8.5