AMD EPYC Turin AVX-512 Comparison

AMD EPYC 9755 AVX-512 comparison 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 2410104-NE-TURINAVX566
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AVX-512 Off
September 29
  5 Hours, 55 Minutes
AVX-512 256b DP
September 28
  6 Hours, 28 Minutes
AVX-512 512b DP
September 30
  6 Hours, 26 Minutes
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  6 Hours, 16 Minutes

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AMD EPYC Turin AVX-512 ComparisonOpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 9755 128-Core @ 2.70GHz (128 Cores / 256 Threads)AMD VOLCANO (RVOT1000D BIOS)AMD Device 153a12 x 64GB DDR5-6000MT/s Samsung M321R8GA0PB1-CCPKC2 x 1920GB KIOXIA KCD8XPUG1T92ASPEEDBroadcom NetXtreme BCM5720 PCIeUbuntu 24.046.10.0-phx (x86_64)GCC 13.2.0ext41920x1200ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionAMD EPYC Turin AVX-512 Comparison BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-OiuXZC/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-OiuXZC/gcc-13-13.2.0/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-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 - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xb002110 - Python 3.12.2- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: 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 Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AVX-512 256b DPAVX-512 OffAVX-512 512b DPResult OverviewPhoronix Test Suite100%137%174%212%249%oneDNNNAMDminiBUDEOpenVINOOSPRayTensorFlowsimdjsonGROMACSONNX RuntimeY-CruncherMobile Neural NetworkXmrigOSPRay StudioOpenVKLPyTorchlibxsmmSVT-AV1EmbreeNumpy BenchmarkSMHasherOpenFOAM

AVX-512 256b DPAVX-512 OffAVX-512 512b DPPer Watt Result OverviewPhoronix Test Suite100%138%176%215%miniBUDENAMDTensorFlowOSPRayGROMACSlibxsmmsimdjsonPyTorchOpenVKLXmrigEmbreeSVT-AV1Numpy BenchmarkP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

AMD EPYC Turin AVX-512 Comparisonpytorch: CPU - 256 - ResNet-50pytorch: CPU - 512 - ResNet-50pytorch: CPU - 1 - ResNet-50minibude: OpenMP - BM1minibude: OpenMP - BM2openvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownsvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 5 - Bosphorus 4Ksvt-av1: Preset 3 - Bosphorus 4Ksimdjson: PartialTweetssimdjson: LargeRandsimdjson: Kostyasimdjson: DistinctUserIDsimdjson: TopTweetminibude: OpenMP - BM1minibude: OpenMP - BM2libxsmm: 128xmrig: GhostRider - 1Mtensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 512 - ResNet-50onnx: fcn-resnet101-11 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ResNet101_DUC_HDC-12 - CPU - Standardopenvkl: vklBenchmarkCPU ISPCospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timesmhasher: FarmHash32 x86_64 AVXgromacs: MPI CPU - water_GMX50_barenamd: ATPase with 327,506 Atomsnamd: STMV with 1,066,628 Atomsnumpy: smhasher: FarmHash32 x86_64 AVXonnx: fcn-resnet101-11 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ResNet101_DUC_HDC-12 - CPU - Standardospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray-studio: 2 - 4K - 1 - Path Tracer - CPUospray-studio: 2 - 4K - 16 - Path Tracer - CPUospray-studio: 2 - 4K - 32 - Path Tracer - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUonednn: Convolution Batch Shapes Auto - CPUonednn: Deconvolution Batch shapes_3d - CPUonednn: IP Shapes 3D - CPUonednn: Recurrent Neural Network Training - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUmnn: mobilenetV3mnn: resnet-v2-50openfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timey-cruncher: 1By-cruncher: 5By-cruncher: 10BAVX-512 256b DPAVX-512 OffAVX-512 512b DP43.5543.5051.63328.870316.656137.51175156.04710.9813579.908450.688024.13866.8324619.044203.212855.3410058.8410112.34221.3817190.1200178.1347388.542108.12448.59513.7628.601.575.668.998.848221.7397916.4093652.917480.4190.08221.258.92861162.96017.9209191.17644.61295.67626356045.408744.787649.349934422.4119.54413.310024.17026794.9826.885112.5426.1392655.82175.2286222.4363177.4876711073321539675108162164679112693253930.3500340.7003790.323221482.881463.880.5589.909.257.487.9073.735.0430.3522.366.2911.791.9808.85119.976723163.51457.75124.60247.27138.3838.8245.05195.312191.605117.14165052.36382.4311702.446189.694150.45398.5719828.791861.722626.834727.353010.63205.9535178.4839167.0048378.434101.84446.24513.0387.301.404.697.647.494882.8084790.1323431.716826.7158.25179.257.89424161.96417.0582181.55638.83805.50491309931.719030.607242.131632099.0318.3507.000682.28097739.6926.512127.0196.1739559.03045.5057825.7457181.7367141139622869719114512295583613357308200.3739251.312143.14198447.798544.380.57167.0710.7510.2615.32160.346.2968.6824.3013.3542.422.05510.05320.421965161.951948.02031.24561.25643.8543.3952.33395.370387.050194.04192118.56766.9918690.3211239.498755.751111.6931620.584780.243297.8513925.7610450.98223.1431191.6390179.6822400.898114.98050.73714.2789.461.595.909.929.879884.2549676.2543764.420005.2203.33246.1010.3299206.82321.5998192.83743.82226.96791366046.972146.326950.901534394.9822.83914.182934.62565795.3126.49196.80504.8348146.33695.1836922.8473143.9406391016920379642102312043875211963240300.2576320.5090190.322331425.220329.050.4883.326.605.617.2157.473.8726.6319.294.4910.751.8727.67420.24893160.997427.78924.06745.855OpenBenchmarking.org

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringAVX-512 256b DPAVX-512 OffAVX-512 512b DP1326395265Min: 25.13 / Avg: 49.34 / Max: 63.75Min: 26.13 / Avg: 49.06 / Max: 63.5Min: 23.88 / Avg: 50.93 / Max: 66

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringAVX-512 256b DPAVX-512 OffAVX-512 512b DP8001600240032004000Min: 2172 / Avg: 3712.06 / Max: 4195Min: 2294 / Avg: 3647.31 / Max: 4647Min: 1886 / Avg: 3621.72 / Max: 4224

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringAVX-512 256b DPAVX-512 OffAVX-512 512b DP90180270360450Min: 22.32 / Avg: 305.93 / Max: 503.55Min: 22.25 / Avg: 297.71 / Max: 505.2Min: 22.21 / Avg: 292.98 / Max: 502.06

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-50AVX-512 256b DPAVX-512 OffAVX-512 512b DP1020304050SE +/- 0.31, N = 3SE +/- 0.43, N = 3SE +/- 0.55, N = 343.5538.3843.85MIN: 41.56 / MAX: 44.75MIN: 36.82 / MAX: 39.67MIN: 41.39 / MAX: 45.93

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-50AVX-512 256b DPAVX-512 OffAVX-512 512b DP1020304050SE +/- 0.34, N = 3SE +/- 0.08, N = 3SE +/- 0.52, N = 443.5038.8243.39MIN: 41.09 / MAX: 44.92MIN: 37.4 / MAX: 39.86MIN: 40.31 / MAX: 44.91

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 1 - Model: ResNet-50AVX-512 256b DPAVX-512 OffAVX-512 512b DP0.04930.09860.14790.19720.24650.2190.1790.217

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 1 - Model: ResNet-50AVX-512 256b DPAVX-512 OffAVX-512 512b DP1224364860SE +/- 0.12, N = 3SE +/- 0.23, N = 3SE +/- 0.38, N = 351.6345.0552.33MIN: 48.86 / MAX: 52.93MIN: 43.23 / MAX: 46.3MIN: 49.93 / MAX: 54.1

miniBUDE

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2AVX-512 256b DPAVX-512 OffAVX-512 512b DP0.25610.51220.76831.02441.28050.9350.4981.138

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1AVX-512 256b DPAVX-512 OffAVX-512 512b DP90180270360450SE +/- 0.13, N = 10SE +/- 0.12, N = 8SE +/- 0.11, N = 11328.87195.31395.371. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2AVX-512 256b DPAVX-512 OffAVX-512 512b DP80160240320400SE +/- 0.70, N = 4SE +/- 0.64, N = 3SE +/- 4.22, N = 4316.66191.61387.051. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP4080120160200SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.46, N = 3137.51117.14194.041. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP40K80K120K160K200KSE +/- 517.64, N = 3SE +/- 339.72, N = 3SE +/- 544.06, N = 3175156.04165052.36192118.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP170340510680850SE +/- 0.61, N = 3SE +/- 0.04, N = 3SE +/- 0.42, N = 3710.98382.43766.991. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP4K8K12K16K20KSE +/- 5.42, N = 3SE +/- 1.96, N = 3SE +/- 12.83, N = 313579.9011702.4418690.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP2K4K6K8K10KSE +/- 0.88, N = 3SE +/- 1.18, N = 3SE +/- 0.53, N = 38450.686189.6911239.491. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP2K4K6K8K10KSE +/- 14.15, N = 3SE +/- 9.55, N = 3SE +/- 25.40, N = 38024.134150.458755.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP2004006008001000SE +/- 1.32, N = 3SE +/- 0.88, N = 3SE +/- 5.73, N = 3866.83398.571111.691. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP7K14K21K28K35KSE +/- 4.94, N = 3SE +/- 6.94, N = 3SE +/- 23.78, N = 324619.0419828.7931620.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP10002000300040005000SE +/- 2.89, N = 3SE +/- 1.11, N = 3SE +/- 1.88, N = 34203.211861.724780.241. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP7001400210028003500SE +/- 3.53, N = 3SE +/- 0.80, N = 3SE +/- 5.22, N = 32855.342626.833297.851. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP3K6K9K12K15KSE +/- 6.22, N = 3SE +/- 1.32, N = 3SE +/- 7.20, N = 310058.844727.3513925.761. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP2K4K6K8K10KSE +/- 47.84, N = 3SE +/- 16.72, N = 3SE +/- 29.86, N = 310112.343010.6310450.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonAVX-512 256b DPAVX-512 OffAVX-512 512b DP50100150200250SE +/- 0.05, N = 8SE +/- 0.08, N = 8SE +/- 0.09, N = 8221.38205.95223.14MIN: 217.86 / MAX: 225.89MIN: 202.63 / MAX: 210.88MIN: 218.68 / MAX: 229

SVT-AV1

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 13 - Input: Bosphorus 4KAVX-512 256b DPAVX-512 OffAVX-512 512b DP0.5061.0121.5182.0242.532.2022.1252.249

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjAVX-512 256b DPAVX-512 OffAVX-512 512b DP4080120160200SE +/- 0.11, N = 5SE +/- 0.17, N = 5SE +/- 0.08, N = 5190.12178.48191.64MIN: 186.67 / MAX: 194.33MIN: 174.73 / MAX: 183.09MIN: 188.18 / MAX: 196.08

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownAVX-512 256b DPAVX-512 OffAVX-512 512b DP4080120160200SE +/- 0.12, N = 8SE +/- 0.18, N = 8SE +/- 0.09, N = 8178.13167.00179.68MIN: 173.22 / MAX: 184.71MIN: 162.73 / MAX: 173.25MIN: 174.97 / MAX: 186.29

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 13 - Input: Bosphorus 4KAVX-512 256b DPAVX-512 OffAVX-512 512b DP90180270360450SE +/- 6.38, N = 15SE +/- 0.63, N = 6SE +/- 6.48, N = 15388.54378.43400.90-mavx2 -mavx512f -mavx512bw -mavx512dq-mavx2 -mavx512f -mavx512bw -mavx512dq1. (CXX) g++ options: -march=native -mno-avx

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 8 - Input: Bosphorus 4KAVX-512 256b DPAVX-512 OffAVX-512 512b DP0.11840.23680.35520.47360.5920.5100.4620.526

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 5 - Input: Bosphorus 4KAVX-512 256b DPAVX-512 OffAVX-512 512b DP0.05040.10080.15120.20160.2520.2200.2020.224

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 3 - Input: Bosphorus 4KAVX-512 256b DPAVX-512 OffAVX-512 512b DP0.01280.02560.03840.05120.0640.0560.0520.057

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 8 - Input: Bosphorus 4KAVX-512 256b DPAVX-512 OffAVX-512 512b DP306090120150SE +/- 0.47, N = 3SE +/- 0.40, N = 3SE +/- 0.52, N = 3108.12101.84114.98-mavx2 -mavx512f -mavx512bw -mavx512dq-mavx2 -mavx512f -mavx512bw -mavx512dq1. (CXX) g++ options: -march=native -mno-avx

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 5 - Input: Bosphorus 4KAVX-512 256b DPAVX-512 OffAVX-512 512b DP1122334455SE +/- 0.20, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 348.6046.2550.74-mavx2 -mavx512f -mavx512bw -mavx512dq-mavx2 -mavx512f -mavx512bw -mavx512dq1. (CXX) g++ options: -march=native -mno-avx

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 3 - Input: Bosphorus 4KAVX-512 256b DPAVX-512 OffAVX-512 512b DP48121620SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 313.7613.0414.28-mavx2 -mavx512f -mavx512bw -mavx512dq-mavx2 -mavx512f -mavx512bw -mavx512dq1. (CXX) g++ options: -march=native -mno-avx

simdjson

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: PartialTweetsAVX-512 256b DPAVX-512 OffAVX-512 512b DP3691215SE +/- 0.09, N = 6SE +/- 0.04, N = 3SE +/- 0.09, N = 158.607.309.461. (CXX) g++ options: -O3 -lrt

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: LargeRandomAVX-512 256b DPAVX-512 OffAVX-512 512b DP0.35780.71561.07341.43121.789SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.571.401.591. (CXX) g++ options: -O3 -lrt

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: KostyaAVX-512 256b DPAVX-512 OffAVX-512 512b DP1.32752.6553.98255.316.6375SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.664.695.901. (CXX) g++ options: -O3 -lrt

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: DistinctUserIDAVX-512 256b DPAVX-512 OffAVX-512 512b DP3691215SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 48.997.649.921. (CXX) g++ options: -O3 -lrt

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: TopTweetAVX-512 256b DPAVX-512 OffAVX-512 512b DP3691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.847.499.871. (CXX) g++ options: -O3 -lrt

miniBUDE

MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1AVX-512 256b DPAVX-512 OffAVX-512 512b DP2K4K6K8K10KSE +/- 3.23, N = 10SE +/- 3.11, N = 8SE +/- 2.65, N = 118221.744882.819884.251. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2AVX-512 256b DPAVX-512 OffAVX-512 512b DP2K4K6K8K10KSE +/- 17.43, N = 4SE +/- 15.88, N = 3SE +/- 105.52, N = 47916.414790.139676.251. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

libxsmm

OpenBenchmarking.orgGFLOPS/s Per Watt, More Is Betterlibxsmm 2-1.17-3645M N K: 128AVX-512 256b DPAVX-512 OffAVX-512 512b DP51015202521.0116.3820.74

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 128AVX-512 256b DPAVX-512 OffAVX-512 512b DP8001600240032004000SE +/- 5.61, N = 3SE +/- 12.94, N = 3SE +/- 9.17, N = 33652.93431.73764.4-msse4.2-pedantic -fopenmp -march=core-avx2-msse4.21. (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

Xmrig

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MAVX-512 256b DPAVX-512 OffAVX-512 512b DP112233445542.2940.8547.07

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MAVX-512 256b DPAVX-512 OffAVX-512 512b DP4K8K12K16K20KSE +/- 973.55, N = 15SE +/- 973.00, N = 15SE +/- 779.44, N = 1517480.416826.720005.21. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50AVX-512 256b DPAVX-512 OffAVX-512 512b DP4080120160200SE +/- 0.40, N = 3SE +/- 0.47, N = 3SE +/- 0.98, N = 3190.08158.25203.33

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50AVX-512 256b DPAVX-512 OffAVX-512 512b DP50100150200250SE +/- 0.23, N = 3SE +/- 0.20, N = 3SE +/- 0.45, N = 3221.25179.25246.10

ONNX Runtime

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.19Model: fcn-resnet101-11 - Device: CPU - Executor: StandardAVX-512 256b DPAVX-512 OffAVX-512 512b DP3691215SE +/- 0.16447, N = 15SE +/- 0.11217, N = 15SE +/- 0.01681, N = 38.928617.8942410.329901. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.19Model: super-resolution-10 - Device: CPU - Executor: StandardAVX-512 256b DPAVX-512 OffAVX-512 512b DP50100150200250SE +/- 1.79, N = 5SE +/- 0.15, N = 3SE +/- 0.29, N = 3162.96161.96206.821. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.19Model: bertsquad-12 - Device: CPU - Executor: StandardAVX-512 256b DPAVX-512 OffAVX-512 512b DP510152025SE +/- 0.21, N = 4SE +/- 0.38, N = 12SE +/- 0.17, N = 1517.9217.0621.601. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.19Model: GPT-2 - Device: CPU - Executor: StandardAVX-512 256b DPAVX-512 OffAVX-512 512b DP4080120160200SE +/- 0.18, N = 3SE +/- 0.16, N = 3SE +/- 0.74, N = 3191.18181.56192.841. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.19Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardAVX-512 256b DPAVX-512 OffAVX-512 512b DP1020304050SE +/- 0.38, N = 15SE +/- 0.02, N = 3SE +/- 0.43, N = 1544.6138.8443.821. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.19Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: StandardAVX-512 256b DPAVX-512 OffAVX-512 512b DP246810SE +/- 0.12978, N = 15SE +/- 0.06677, N = 4SE +/- 0.10140, N = 155.676265.504916.967911. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenVKL

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCAVX-512 256b DPAVX-512 OffAVX-512 512b DP36912159.0557.7919.180

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCAVX-512 256b DPAVX-512 OffAVX-512 512b DP8001600240032004000SE +/- 1.76, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3356030993660MIN: 284 / MAX: 41727MIN: 245 / MAX: 36357MIN: 293 / MAX: 42710

OSPRay

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.2Benchmark: gravity_spheres_volume/dim_512/ao/real_timeAVX-512 256b DPAVX-512 OffAVX-512 512b DP0.02430.04860.07290.09720.12150.1080.0770.108

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.2Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeAVX-512 256b DPAVX-512 OffAVX-512 512b DP0.02410.04820.07230.09640.12050.1060.0740.107

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.2Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeAVX-512 256b DPAVX-512 OffAVX-512 512b DP0.02790.05580.08370.11160.13950.1210.1010.124

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.2Benchmark: gravity_spheres_volume/dim_512/ao/real_timeAVX-512 256b DPAVX-512 OffAVX-512 512b DP1122334455SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.16, N = 345.4131.7246.97

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.2Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeAVX-512 256b DPAVX-512 OffAVX-512 512b DP1122334455SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 344.7930.6146.33

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.2Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeAVX-512 256b DPAVX-512 OffAVX-512 512b DP1122334455SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 349.3542.1350.90

NAMD

MinAvgMaxAVX-512 256b DP270033384158AVX-512 Off270036894147AVX-512 512b DP270032534149OpenBenchmarking.orgMegahertz, More Is BetterNAMD 3.0b6CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270034804149AVX-512 Off270034474182AVX-512 512b DP255433624151OpenBenchmarking.orgMegahertz, More Is BetterNAMD 3.0b6CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

GROMACS

MinAvgMaxAVX-512 256b DP270035044148AVX-512 Off270033734150AVX-512 512b DP270034894155OpenBenchmarking.orgMegahertz, More Is BetterGROMACS 2024CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenFOAM

MinAvgMaxAVX-512 256b DP270033904150AVX-512 Off270034134156AVX-512 512b DP270033874174OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 10CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270035764152AVX-512 Off270035764155AVX-512 512b DP270035494168OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 10CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OSPRay Studio

MinAvgMaxAVX-512 256b DP270033294145AVX-512 Off270032244143AVX-512 512b DP270032244153OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 1.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270033344151AVX-512 Off270032284144AVX-512 512b DP270032214152OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 1.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270032724134AVX-512 Off270031664142AVX-512 512b DP270031734139OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 1.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270033314145AVX-512 Off270032484155AVX-512 512b DP270032544154OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 1.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270033424155AVX-512 Off270032484143AVX-512 512b DP270032414152OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 1.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270033024150AVX-512 Off270031924150AVX-512 512b DP270031944144OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 1.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270033124144AVX-512 Off270032264140AVX-512 512b DP270032234141OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 1.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270033194144AVX-512 Off270031714148AVX-512 512b DP270032104162OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 1.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270032844151AVX-512 Off270033074153AVX-512 512b DP270031704151OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 1.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

Y-Cruncher

MinAvgMaxAVX-512 256b DP269536924151AVX-512 Off246436004155AVX-512 512b DP270036254154OpenBenchmarking.orgMegahertz, More Is BetterY-Cruncher 0.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP263836164146AVX-512 Off243736014157AVX-512 512b DP206335044142OpenBenchmarking.orgMegahertz, More Is BetterY-Cruncher 0.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP261336384155AVX-512 Off246535964148AVX-512 512b DP207735304160OpenBenchmarking.orgMegahertz, More Is BetterY-Cruncher 0.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

oneDNN

MinAvgMaxAVX-512 256b DP270032894145AVX-512 Off270031464042AVX-512 512b DP270028844153OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP217230494150AVX-512 Off270031604144AVX-512 512b DP255927304150OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270035364145AVX-512 Off270037304152AVX-512 512b DP270035284155OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270037904156AVX-512 Off248731934143AVX-512 512b DP188632984162OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenVINO

MinAvgMaxAVX-512 256b DP270031824150AVX-512 Off256327674146AVX-512 512b DP228024754150OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270034424163AVX-512 Off270031924152AVX-512 512b DP270031704142OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270032264168AVX-512 Off270030314147AVX-512 512b DP264227684162OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270031014145AVX-512 Off263028134149AVX-512 512b DP220024144152OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270031474154AVX-512 Off268828234156AVX-512 512b DP238025734150OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270031464153AVX-512 Off270028754145AVX-512 512b DP239425224152OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270032724195AVX-512 Off254127234153AVX-512 512b DP241627334152OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270030974152AVX-512 Off269728914145AVX-512 512b DP233626014149OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270029654148AVX-512 Off252026144162AVX-512 512b DP261327674147OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270031874144AVX-512 Off270030214157AVX-512 512b DP258527234144OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270032314147AVX-512 Off268228324151AVX-512 512b DP248827004154OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxAVX-512 256b DP270030874153AVX-512 Off270032414405AVX-512 512b DP269928694150OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

Numpy Benchmark

MinAvgMaxAVX-512 256b DP270040794154AVX-512 Off270040894151AVX-512 512b DP270040824154OpenBenchmarking.orgMegahertz, More Is BetterNumpy BenchmarkCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

SMHasher

SMHasher is a hash function tester supporting various algorithms and able to make use of AVX and other modern CPU instruction set extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: FarmHash32 x86_64 AVXAVX-512 256b DPAVX-512 OffAVX-512 512b DP7K14K21K28K35KSE +/- 20.30, N = 6SE +/- 19.92, N = 6SE +/- 23.52, N = 634422.4132099.0334394.981. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

GROMACS

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareAVX-512 256b DPAVX-512 OffAVX-512 512b DP0.01510.03020.04530.06040.07550.0570.0520.067

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareAVX-512 256b DPAVX-512 OffAVX-512 512b DP510152025SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 319.5418.3522.841. (CXX) g++ options: -O3 -lm

NAMD

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsAVX-512 256b DPAVX-512 OffAVX-512 512b DP0.01690.03380.05070.06760.08450.0670.0400.075

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsAVX-512 256b DPAVX-512 OffAVX-512 512b DP0.00430.00860.01290.01720.02150.0160.0090.019

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsAVX-512 256b DPAVX-512 OffAVX-512 512b DP48121620SE +/- 0.02496, N = 7SE +/- 0.01866, N = 3SE +/- 0.06451, N = 713.310027.0006814.18293

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsAVX-512 256b DPAVX-512 OffAVX-512 512b DP1.04082.08163.12244.16325.204SE +/- 0.00881, N = 4SE +/- 0.00213, N = 3SE +/- 0.00436, N = 44.170262.280974.62565

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkAVX-512 256b DPAVX-512 OffAVX-512 512b DP2004006008001000SE +/- 2.12, N = 3SE +/- 1.08, N = 3SE +/- 2.30, N = 3794.98739.69795.31

OpenFOAM

MinAvgMaxAVX-512 256b DP37.153.659.8AVX-512 Off36.453.960.4AVX-512 512b DP35.352.759.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 10CPU Temperature Monitor20406080100

MinAvgMaxAVX-512 256b DP35.859.561.6AVX-512 Off36.359.962.3AVX-512 512b DP35.359.362.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 10CPU Temperature Monitor20406080100

OSPRay Studio

MinAvgMaxAVX-512 256b DP34.954.058.5AVX-512 Off34.653.958.5AVX-512 512b DP36.555.760.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay Studio 1.0CPU Temperature Monitor1632486480

MinAvgMaxAVX-512 256b DP37.353.757.8AVX-512 Off37.653.757.8AVX-512 512b DP39.155.159.8OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay Studio 1.0CPU Temperature Monitor1632486480

MinAvgMaxAVX-512 256b DP36.654.558.5AVX-512 Off37.054.758.9AVX-512 512b DP38.456.760.9OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay Studio 1.0CPU Temperature Monitor20406080100

MinAvgMaxAVX-512 256b DP37.053.858.0AVX-512 Off37.054.458.5AVX-512 512b DP39.656.360.6OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay Studio 1.0CPU Temperature Monitor20406080100

MinAvgMaxAVX-512 256b DP37.353.958.5AVX-512 Off36.953.558.4AVX-512 512b DP39.156.060.6OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay Studio 1.0CPU Temperature Monitor20406080100

MinAvgMaxAVX-512 256b DP37.655.158.5AVX-512 Off37.155.258.6AVX-512 512b DP39.357.360.9OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay Studio 1.0CPU Temperature Monitor20406080100

MinAvgMaxAVX-512 256b DP37.154.158.1AVX-512 Off37.054.158.3AVX-512 512b DP39.356.760.9OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay Studio 1.0CPU Temperature Monitor20406080100

MinAvgMaxAVX-512 256b DP36.854.558.6AVX-512 Off36.855.358.9AVX-512 512b DP39.356.260.9OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay Studio 1.0CPU Temperature Monitor20406080100

MinAvgMaxAVX-512 256b DP37.655.459.1AVX-512 Off37.551.557.0AVX-512 512b DP39.157.661.1OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay Studio 1.0CPU Temperature Monitor20406080100

Y-Cruncher

MinAvgMaxAVX-512 256b DP31.442.346.8AVX-512 Off32.044.349.6AVX-512 512b DP33.544.248.5OpenBenchmarking.orgCelsius, Fewer Is BetterY-Cruncher 0.8.5CPU Temperature Monitor1428425670

MinAvgMaxAVX-512 256b DP31.848.254.6AVX-512 Off32.851.860.0AVX-512 512b DP34.149.655.9OpenBenchmarking.orgCelsius, Fewer Is BetterY-Cruncher 0.8.5CPU Temperature Monitor1632486480

MinAvgMaxAVX-512 256b DP34.350.856.5AVX-512 Off34.854.661.6AVX-512 512b DP35.951.957.6OpenBenchmarking.orgCelsius, Fewer Is BetterY-Cruncher 0.8.5CPU Temperature Monitor20406080100

oneDNN

MinAvgMaxAVX-512 256b DP37.845.248.8AVX-512 Off37.145.649.4AVX-512 512b DP40.145.849.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.4CPU Temperature Monitor1428425670

MinAvgMaxAVX-512 256b DP32.539.842.4AVX-512 Off31.944.948.6AVX-512 512b DP33.940.342.5OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.4CPU Temperature Monitor1428425670

MinAvgMaxAVX-512 256b DP31.638.040.5AVX-512 Off31.438.040.6AVX-512 512b DP33.340.443.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.4CPU Temperature Monitor1224364860

MinAvgMaxAVX-512 256b DP30.848.751.6AVX-512 Off30.147.152.4AVX-512 512b DP33.348.250.9OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.4CPU Temperature Monitor1530456075

OpenVINO

MinAvgMaxAVX-512 256b DP34.554.357.6AVX-512 Off33.853.556.8AVX-512 512b DP37.054.757.5OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2024.0CPU Temperature Monitor1632486480

MinAvgMaxAVX-512 256b DP35.351.153.0AVX-512 Off35.151.453.3AVX-512 512b DP37.551.653.5OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2024.0CPU Temperature Monitor1530456075

MinAvgMaxAVX-512 256b DP34.156.158.9AVX-512 Off34.355.958.8AVX-512 512b DP36.655.757.9OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2024.0CPU Temperature Monitor1632486480

MinAvgMaxAVX-512 256b DP35.654.456.6AVX-512 Off35.553.956.0AVX-512 512b DP37.654.256.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2024.0CPU Temperature Monitor1632486480

MinAvgMaxAVX-512 256b DP35.455.558.0AVX-512 Off34.855.357.8AVX-512 512b DP37.456.658.9OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2024.0CPU Temperature Monitor1632486480

MinAvgMaxAVX-512 256b DP35.555.357.9AVX-512 Off35.853.455.9AVX-512 512b DP38.653.054.8OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2024.0CPU Temperature Monitor1632486480

MinAvgMaxAVX-512 256b DP35.657.160.0AVX-512 Off34.855.057.6AVX-512 512b DP36.659.362.1OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2024.0CPU Temperature Monitor20406080100

MinAvgMaxAVX-512 256b DP36.455.057.3AVX-512 Off35.855.157.4AVX-512 512b DP39.556.057.9OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2024.0CPU Temperature Monitor1632486480

MinAvgMaxAVX-512 256b DP35.155.858.3AVX-512 Off35.154.356.5AVX-512 512b DP38.059.161.5OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2024.0CPU Temperature Monitor20406080100

MinAvgMaxAVX-512 256b DP36.155.257.5AVX-512 Off35.556.659.3AVX-512 512b DP39.454.556.3OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2024.0CPU Temperature Monitor1632486480

MinAvgMaxAVX-512 256b DP35.456.559.1AVX-512 Off36.354.056.4AVX-512 512b DP37.659.261.8OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2024.0CPU Temperature Monitor20406080100

MinAvgMaxAVX-512 256b DP35.853.456.1AVX-512 Off35.148.050.1AVX-512 512b DP39.554.957.1OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2024.0CPU Temperature Monitor1632486480

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP150300450600750SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.58, N = 3671714639

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP2K4K6K8K10KSE +/- 5.86, N = 3SE +/- 7.69, N = 3SE +/- 9.28, N = 3107331139610169

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP5K10K15K20K25KSE +/- 6.39, N = 3SE +/- 34.33, N = 3SE +/- 25.38, N = 3215392286920379

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP160320480640800SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3675719642

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP2K4K6K8K10KSE +/- 11.85, N = 3SE +/- 2.85, N = 3SE +/- 10.11, N = 3108161145110231

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP5K10K15K20K25KSE +/- 8.65, N = 3SE +/- 25.87, N = 3SE +/- 8.88, N = 3216462295520438

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP2004006008001000SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3791836752

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP3K6K9K12K15KSE +/- 7.80, N = 3SE +/- 13.35, N = 3SE +/- 7.06, N = 3126931335711963

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP7K14K21K28K35KSE +/- 2.00, N = 3SE +/- 109.14, N = 3SE +/- 20.00, N = 3253933082024030

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Convolution Batch Shapes Auto - Engine: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP0.08410.16820.25230.33640.4205SE +/- 0.000363, N = 7SE +/- 0.000549, N = 7SE +/- 0.000532, N = 70.3500340.3739250.257632MIN: 0.33MIN: 0.35MIN: 0.251. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_3d - Engine: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP0.29520.59040.88561.18081.476SE +/- 0.000342, N = 9SE +/- 0.001041, N = 9SE +/- 0.000468, N = 90.7003791.3121400.509019MIN: 0.68MIN: 1.28MIN: 0.481. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: IP Shapes 3D - Engine: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP0.70691.41382.12072.82763.5345SE +/- 0.000924, N = 5SE +/- 0.003218, N = 5SE +/- 0.000544, N = 50.3232213.1419800.322331MIN: 3.071. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Recurrent Neural Network Training - Engine: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP100200300400500SE +/- 0.27, N = 3SE +/- 0.35, N = 3SE +/- 0.60, N = 3482.88447.80425.22MIN: 478.35MIN: 443.23MIN: 418.821. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP120240360480600SE +/- 0.07, N = 3SE +/- 0.31, N = 3SE +/- 0.76, N = 3463.88544.38329.05MIN: 405.2 / MAX: 482.04MIN: 261.15 / MAX: 569.93MIN: 146.73 / MAX: 360.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP0.12830.25660.38490.51320.6415SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.550.570.48MIN: 0.18 / MAX: 22.43MIN: 0.2 / MAX: 26.73MIN: 0.13 / MAX: 25.071. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP4080120160200SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 389.90167.0783.32MIN: 40.69 / MAX: 160.4MIN: 75.83 / MAX: 256.32MIN: 35.6 / MAX: 146.571. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 39.2510.756.60MIN: 4.08 / MAX: 21.6MIN: 4.66 / MAX: 32.11MIN: 2.24 / MAX: 26.721. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 37.4810.265.61MIN: 4.14 / MAX: 23.69MIN: 6.21 / MAX: 38.75MIN: 2.24 / MAX: 30.881. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP48121620SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 37.9015.327.21MIN: 5.02 / MAX: 29.4MIN: 7.91 / MAX: 45.71MIN: 4.13 / MAX: 25.41. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP4080120160200SE +/- 0.11, N = 3SE +/- 0.34, N = 3SE +/- 0.30, N = 373.73160.3457.47MIN: 35.26 / MAX: 113MIN: 88.77 / MAX: 245.28MIN: 26.92 / MAX: 106.121. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.046.293.87MIN: 2.51 / MAX: 19.14MIN: 3.06 / MAX: 24.12MIN: 1.69 / MAX: 21.991. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP1530456075SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 330.3568.6826.63MIN: 17.71 / MAX: 42.78MIN: 40.62 / MAX: 87.32MIN: 15.61 / MAX: 47.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP612182430SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 322.3624.3019.29MIN: 11.44 / MAX: 40.97MIN: 13.82 / MAX: 53.77MIN: 9.84 / MAX: 44.851. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 36.2913.354.49MIN: 3.16 / MAX: 20.63MIN: 6.22 / MAX: 36.5MIN: 1.96 / MAX: 22.351. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUAVX-512 256b DPAVX-512 OffAVX-512 512b DP1020304050SE +/- 0.06, N = 3SE +/- 0.24, N = 3SE +/- 0.07, N = 311.7942.4210.75MIN: 6.96 / MAX: 33.85MIN: 15.51 / MAX: 60.87MIN: 6.13 / MAX: 31.811. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Mobile Neural Network

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: mobilenetV3AVX-512 256b DPAVX-512 OffAVX-512 512b DP0.46240.92481.38721.84962.312SE +/- 0.033, N = 3SE +/- 0.012, N = 3SE +/- 0.008, N = 31.9802.0551.872MIN: 1.83 / MAX: 2.34MIN: 1.91 / MAX: 2.32MIN: 1.73 / MAX: 2.431. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: resnet-v2-50AVX-512 256b DPAVX-512 OffAVX-512 512b DP3691215SE +/- 0.037, N = 3SE +/- 0.040, N = 3SE +/- 0.113, N = 38.85110.0537.674MIN: 8.53 / MAX: 10.37MIN: 9.74 / MAX: 12.33MIN: 7.38 / MAX: 8.781. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeAVX-512 256b DPAVX-512 OffAVX-512 512b DP51015202519.9820.4220.251. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeAVX-512 256b DPAVX-512 OffAVX-512 512b DP4080120160200163.51161.95161.001. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

Y-Cruncher

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.5Pi Digits To Calculate: 1BAVX-512 256b DPAVX-512 OffAVX-512 512b DP246810SE +/- 0.005, N = 5SE +/- 0.014, N = 5SE +/- 0.012, N = 57.7518.0207.789

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.5Pi Digits To Calculate: 5BAVX-512 256b DPAVX-512 OffAVX-512 512b DP714212835SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 324.6031.2524.07

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.5Pi Digits To Calculate: 10BAVX-512 256b DPAVX-512 OffAVX-512 512b DP1428425670SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 347.2761.2645.86

164 Results Shown

CPU Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Megahertz
    Watts
PyTorch:
  CPU - 256 - ResNet-50
  CPU - 512 - ResNet-50
PyTorch
PyTorch
miniBUDE
miniBUDE:
  OpenMP - BM1
  OpenMP - BM2
OpenVINO:
  Face Detection FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Person Detection FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
  Person Re-Identification Retail FP16 - CPU
  Noise Suppression Poconet-Like FP16 - CPU
Embree
SVT-AV1
Embree:
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer ISPC - Crown
SVT-AV1
SVT-AV1:
  Preset 8 - Bosphorus 4K
  Preset 5 - Bosphorus 4K
  Preset 3 - Bosphorus 4K
SVT-AV1:
  Preset 8 - Bosphorus 4K
  Preset 5 - Bosphorus 4K
  Preset 3 - Bosphorus 4K
simdjson:
  PartialTweets
  LargeRand
  Kostya
  DistinctUserID
  TopTweet
miniBUDE:
  OpenMP - BM1
  OpenMP - BM2
libxsmm
libxsmm
Xmrig
Xmrig
TensorFlow:
  CPU - 256 - ResNet-50
  CPU - 512 - ResNet-50
ONNX Runtime:
  fcn-resnet101-11 - CPU - Standard
  super-resolution-10 - CPU - Standard
  bertsquad-12 - CPU - Standard
  GPT-2 - CPU - Standard
  ArcFace ResNet-100 - CPU - Standard
  ResNet101_DUC_HDC-12 - CPU - Standard
OpenVKL
OpenVKL
OSPRay:
  gravity_spheres_volume/dim_512/ao/real_time
  gravity_spheres_volume/dim_512/scivis/real_time
  gravity_spheres_volume/dim_512/pathtracer/real_time
OSPRay:
  gravity_spheres_volume/dim_512/ao/real_time
  gravity_spheres_volume/dim_512/scivis/real_time
  gravity_spheres_volume/dim_512/pathtracer/real_time
NAMD:
  CPU Peak Freq (Highest CPU Core Frequency) Monitor:
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
SMHasher
GROMACS
GROMACS
NAMD:
  ATPase with 327,506 Atoms
  STMV with 1,066,628 Atoms
NAMD:
  ATPase with 327,506 Atoms
  STMV with 1,066,628 Atoms
Numpy Benchmark
OpenFOAM:
  CPU Temp Monitor:
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
OSPRay Studio:
  1 - 4K - 1 - Path Tracer - CPU
  1 - 4K - 16 - Path Tracer - CPU
  1 - 4K - 32 - Path Tracer - CPU
  2 - 4K - 1 - Path Tracer - CPU
  2 - 4K - 16 - Path Tracer - CPU
  2 - 4K - 32 - Path Tracer - CPU
  3 - 4K - 1 - Path Tracer - CPU
  3 - 4K - 16 - Path Tracer - CPU
  3 - 4K - 32 - Path Tracer - CPU
oneDNN:
  Convolution Batch Shapes Auto - CPU
  Deconvolution Batch shapes_3d - CPU
  IP Shapes 3D - CPU
  Recurrent Neural Network Training - CPU
OpenVINO:
  Face Detection FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Person Detection FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
  Person Re-Identification Retail FP16 - CPU
  Noise Suppression Poconet-Like FP16 - CPU
Mobile Neural Network:
  mobilenetV3
  resnet-v2-50
OpenFOAM:
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Execution Time
Y-Cruncher:
  1B
  5B
  10B