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

AVX-512 OffAVX-512 256b DPAVX-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 Comparisony-cruncher: 1By-cruncher: 5By-cruncher: 10Bsmhasher: FarmHash32 x86_64 AVXxmrig: GhostRider - 1Mminibude: OpenMP - BM1minibude: OpenMP - BM1minibude: OpenMP - BM2minibude: OpenMP - BM2tensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 512 - ResNet-50numpy: mnn: mobilenetV3mnn: resnet-v2-50onnx: fcn-resnet101-11 - CPU - Standardonnx: super-resolution-10 - CPU - Standardlibxsmm: 128onnx: bertsquad-12 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ResNet101_DUC_HDC-12 - CPU - Standardpytorch: CPU - 1 - ResNet-50pytorch: CPU - 256 - ResNet-50pytorch: CPU - 512 - ResNet-50gromacs: MPI CPU - water_GMX50_barenamd: ATPase with 327,506 Atomsnamd: STMV with 1,066,628 Atomsonednn: Convolution Batch Shapes Auto - CPUonednn: Deconvolution Batch shapes_3d - CPUonednn: IP Shapes 3D - CPUonednn: Recurrent Neural Network Training - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timesvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 5 - Bosphorus 4Ksvt-av1: Preset 3 - Bosphorus 4Kembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownopenvkl: 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_timeospray-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 - CPUsimdjson: PartialTweetssimdjson: LargeRandsimdjson: Kostyasimdjson: DistinctUserIDsimdjson: TopTweetsmhasher: 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 - StandardAVX-512 OffAVX-512 256b DPAVX-512 512b DP8.02031.24561.25632099.0316826.74882.808195.3124790.132191.605158.25179.25739.692.05510.0537.89424161.9643431.717.0582181.55638.83805.5049145.0538.3838.8218.3507.000682.280970.3739251.312143.14198447.798117.14544.38165052.360.57382.43167.0711702.4410.756189.6910.264150.4515.32398.57160.3419828.796.291861.7268.682626.8324.304727.3513.353010.6342.4220.421965161.95194378.434101.84446.24513.038205.9535178.4839167.0048309931.719030.607242.13167141139622869719114512295583613357308207.301.404.697.647.4926.512127.0196.1739559.03045.5057825.7457181.7367.75124.60247.27134422.4117480.48221.739328.8707916.409316.656190.08221.25794.981.9808.8518.92861162.9603652.917.9209191.17644.61295.6762651.6343.5543.5019.54413.310024.170260.3500340.7003790.323221482.881137.51463.88175156.040.55710.9889.9013579.909.258450.687.488024.137.90866.8373.7324619.045.044203.2130.352855.3422.3610058.846.2910112.3411.7919.976723163.5145388.542108.12448.59513.762221.3817190.1200178.1347356045.408744.787649.34996711073321539675108162164679112693253938.601.575.668.998.8426.885112.5426.1392655.82175.2286222.4363177.4877.78924.06745.85534394.9820005.29884.254395.3709676.254387.050203.33246.10795.311.8727.67410.3299206.8233764.421.5998192.83743.82226.9679152.3343.8543.3922.83914.182934.625650.2576320.5090190.322331425.220194.04329.05192118.560.48766.9983.3218690.326.6011239.495.618755.757.211111.6957.4731620.583.874780.2426.633297.8519.2913925.764.4910450.9810.7520.24893160.99742400.898114.98050.73714.278223.1431191.6390179.6822366046.972146.326950.90156391016920379642102312043875211963240309.461.595.909.929.8726.49196.80504.8348146.33695.1836922.8473143.940OpenBenchmarking.org

Y-Cruncher

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.5Pi Digits To Calculate: 1BAVX-512 256b DPAVX-512 512b DPAVX-512 Off246810SE +/- 0.005, N = 5SE +/- 0.012, N = 5SE +/- 0.014, N = 57.7517.7898.020

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.5Pi Digits To Calculate: 5BAVX-512 256b DPAVX-512 512b DPAVX-512 Off714212835SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 324.6024.0731.25

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.5Pi Digits To Calculate: 10BAVX-512 256b DPAVX-512 512b DPAVX-512 Off1428425670SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 347.2745.8661.26

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 512b DPAVX-512 Off7K14K21K28K35KSE +/- 20.30, N = 6SE +/- 23.52, N = 6SE +/- 19.92, N = 634422.4134394.9832099.031. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MAVX-512 256b DPAVX-512 512b DPAVX-512 Off4K8K12K16K20KSE +/- 973.55, N = 15SE +/- 779.44, N = 15SE +/- 973.00, N = 1517480.420005.216826.71. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

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 512b DPAVX-512 Off2K4K6K8K10KSE +/- 3.23, N = 10SE +/- 2.65, N = 11SE +/- 3.11, N = 88221.749884.254882.811. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1AVX-512 256b DPAVX-512 512b DPAVX-512 Off90180270360450SE +/- 0.13, N = 10SE +/- 0.11, N = 11SE +/- 0.12, N = 8328.87395.37195.311. (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 512b DPAVX-512 Off2K4K6K8K10KSE +/- 17.43, N = 4SE +/- 105.52, N = 4SE +/- 15.88, N = 37916.419676.254790.131. (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 512b DPAVX-512 Off80160240320400SE +/- 0.70, N = 4SE +/- 4.22, N = 4SE +/- 0.64, N = 3316.66387.05191.611. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

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 512b DPAVX-512 Off4080120160200SE +/- 0.40, N = 3SE +/- 0.98, N = 3SE +/- 0.47, N = 3190.08203.33158.25

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50AVX-512 256b DPAVX-512 512b DPAVX-512 Off50100150200250SE +/- 0.23, N = 3SE +/- 0.45, N = 3SE +/- 0.20, N = 3221.25246.10179.25

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 512b DPAVX-512 Off2004006008001000SE +/- 2.12, N = 3SE +/- 2.30, N = 3SE +/- 1.08, N = 3794.98795.31739.69

Mobile Neural Network

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: mobilenetV3AVX-512 256b DPAVX-512 512b DPAVX-512 Off0.46240.92481.38721.84962.312SE +/- 0.033, N = 3SE +/- 0.008, N = 3SE +/- 0.012, N = 31.9801.8722.055MIN: 1.83 / MAX: 2.34MIN: 1.73 / MAX: 2.43MIN: 1.91 / MAX: 2.321. (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 512b DPAVX-512 Off3691215SE +/- 0.037, N = 3SE +/- 0.113, N = 3SE +/- 0.040, N = 38.8517.67410.053MIN: 8.53 / MAX: 10.37MIN: 7.38 / MAX: 8.78MIN: 9.74 / MAX: 12.331. (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

ONNX Runtime

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.19Model: fcn-resnet101-11 - Device: CPU - Executor: StandardAVX-512 256b DPAVX-512 512b DPAVX-512 Off3691215SE +/- 0.16447, N = 15SE +/- 0.01681, N = 3SE +/- 0.11217, N = 158.9286110.329907.894241. (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 512b DPAVX-512 Off50100150200250SE +/- 1.79, N = 5SE +/- 0.29, N = 3SE +/- 0.15, N = 3162.96206.82161.961. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

libxsmm

Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 128AVX-512 256b DPAVX-512 512b DPAVX-512 Off8001600240032004000SE +/- 5.61, N = 3SE +/- 9.17, N = 3SE +/- 12.94, N = 33652.93764.43431.7-msse4.2-msse4.2-pedantic -fopenmp -march=core-avx21. (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

ONNX Runtime

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.19Model: bertsquad-12 - Device: CPU - Executor: StandardAVX-512 256b DPAVX-512 512b DPAVX-512 Off510152025SE +/- 0.21, N = 4SE +/- 0.17, N = 15SE +/- 0.38, N = 1217.9221.6017.061. (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 512b DPAVX-512 Off4080120160200SE +/- 0.18, N = 3SE +/- 0.74, N = 3SE +/- 0.16, N = 3191.18192.84181.561. (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 512b DPAVX-512 Off1020304050SE +/- 0.38, N = 15SE +/- 0.43, N = 15SE +/- 0.02, N = 344.6143.8238.841. (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: ResNet101_DUC_HDC-12 - Device: CPU - Executor: StandardAVX-512 256b DPAVX-512 512b DPAVX-512 Off246810SE +/- 0.12978, N = 15SE +/- 0.10140, N = 15SE +/- 0.06677, N = 45.676266.967915.504911. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

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: 1 - Model: ResNet-50AVX-512 256b DPAVX-512 512b DPAVX-512 Off1224364860SE +/- 0.12, N = 3SE +/- 0.38, N = 3SE +/- 0.23, N = 351.6352.3345.05MIN: 48.86 / MAX: 52.93MIN: 49.93 / MAX: 54.1MIN: 43.23 / MAX: 46.3

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-50AVX-512 256b DPAVX-512 512b DPAVX-512 Off1020304050SE +/- 0.31, N = 3SE +/- 0.55, N = 3SE +/- 0.43, N = 343.5543.8538.38MIN: 41.56 / MAX: 44.75MIN: 41.39 / MAX: 45.93MIN: 36.82 / MAX: 39.67

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-50AVX-512 256b DPAVX-512 512b DPAVX-512 Off1020304050SE +/- 0.34, N = 3SE +/- 0.52, N = 4SE +/- 0.08, N = 343.5043.3938.82MIN: 41.09 / MAX: 44.92MIN: 40.31 / MAX: 44.91MIN: 37.4 / MAX: 39.86

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareAVX-512 256b DPAVX-512 512b DPAVX-512 Off510152025SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 319.5422.8418.351. (CXX) g++ options: -O3 -lm

NAMD

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsAVX-512 256b DPAVX-512 512b DPAVX-512 Off48121620SE +/- 0.02496, N = 7SE +/- 0.06451, N = 7SE +/- 0.01866, N = 313.3100214.182937.00068

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsAVX-512 256b DPAVX-512 512b DPAVX-512 Off1.04082.08163.12244.16325.204SE +/- 0.00881, N = 4SE +/- 0.00436, N = 4SE +/- 0.00213, N = 34.170264.625652.28097

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 512b DPAVX-512 Off0.08410.16820.25230.33640.4205SE +/- 0.000363, N = 7SE +/- 0.000532, N = 7SE +/- 0.000549, N = 70.3500340.2576320.373925MIN: 0.33MIN: 0.25MIN: 0.351. (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 512b DPAVX-512 Off0.29520.59040.88561.18081.476SE +/- 0.000342, N = 9SE +/- 0.000468, N = 9SE +/- 0.001041, N = 90.7003790.5090191.312140MIN: 0.68MIN: 0.48MIN: 1.281. (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 512b DPAVX-512 Off0.70691.41382.12072.82763.5345SE +/- 0.000924, N = 5SE +/- 0.000544, N = 5SE +/- 0.003218, N = 50.3232210.3223313.141980MIN: 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 512b DPAVX-512 Off100200300400500SE +/- 0.27, N = 3SE +/- 0.60, N = 3SE +/- 0.35, N = 3482.88425.22447.80MIN: 478.35MIN: 418.82MIN: 443.231. (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.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUAVX-512 256b DPAVX-512 512b DPAVX-512 Off4080120160200SE +/- 0.02, N = 3SE +/- 0.46, N = 3SE +/- 0.07, N = 3137.51194.04117.141. (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 FP16-INT8 - Device: CPUAVX-512 256b DPAVX-512 512b DPAVX-512 Off120240360480600SE +/- 0.07, N = 3SE +/- 0.76, N = 3SE +/- 0.31, N = 3463.88329.05544.38MIN: 405.2 / MAX: 482.04MIN: 146.73 / MAX: 360.28MIN: 261.15 / MAX: 569.931. (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 512b DPAVX-512 Off40K80K120K160K200KSE +/- 517.64, N = 3SE +/- 544.06, N = 3SE +/- 339.72, N = 3175156.04192118.56165052.361. (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 512b DPAVX-512 Off0.12830.25660.38490.51320.6415SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.550.480.57MIN: 0.18 / MAX: 22.43MIN: 0.13 / MAX: 25.07MIN: 0.2 / MAX: 26.731. (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 512b DPAVX-512 Off170340510680850SE +/- 0.61, N = 3SE +/- 0.42, N = 3SE +/- 0.04, N = 3710.98766.99382.431. (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 512b DPAVX-512 Off4080120160200SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 389.9083.32167.07MIN: 40.69 / MAX: 160.4MIN: 35.6 / MAX: 146.57MIN: 75.83 / MAX: 256.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUAVX-512 256b DPAVX-512 512b DPAVX-512 Off4K8K12K16K20KSE +/- 5.42, N = 3SE +/- 12.83, N = 3SE +/- 1.96, N = 313579.9018690.3211702.441. (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 512b DPAVX-512 Off3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 39.256.6010.75MIN: 4.08 / MAX: 21.6MIN: 2.24 / MAX: 26.72MIN: 4.66 / MAX: 32.111. (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 512b DPAVX-512 Off2K4K6K8K10KSE +/- 0.88, N = 3SE +/- 0.53, N = 3SE +/- 1.18, N = 38450.6811239.496189.691. (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 512b DPAVX-512 Off3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 37.485.6110.26MIN: 4.14 / MAX: 23.69MIN: 2.24 / MAX: 30.88MIN: 6.21 / MAX: 38.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUAVX-512 256b DPAVX-512 512b DPAVX-512 Off2K4K6K8K10KSE +/- 14.15, N = 3SE +/- 25.40, N = 3SE +/- 9.55, N = 38024.138755.754150.451. (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 512b DPAVX-512 Off48121620SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 37.907.2115.32MIN: 5.02 / MAX: 29.4MIN: 4.13 / MAX: 25.4MIN: 7.91 / MAX: 45.711. (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 512b DPAVX-512 Off2004006008001000SE +/- 1.32, N = 3SE +/- 5.73, N = 3SE +/- 0.88, N = 3866.831111.69398.571. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUAVX-512 256b DPAVX-512 512b DPAVX-512 Off4080120160200SE +/- 0.11, N = 3SE +/- 0.30, N = 3SE +/- 0.34, N = 373.7357.47160.34MIN: 35.26 / MAX: 113MIN: 26.92 / MAX: 106.12MIN: 88.77 / MAX: 245.281. (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 512b DPAVX-512 Off7K14K21K28K35KSE +/- 4.94, N = 3SE +/- 23.78, N = 3SE +/- 6.94, N = 324619.0431620.5819828.791. (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 512b DPAVX-512 Off246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 35.043.876.29MIN: 2.51 / MAX: 19.14MIN: 1.69 / MAX: 21.99MIN: 3.06 / MAX: 24.121. (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 512b DPAVX-512 Off10002000300040005000SE +/- 2.89, N = 3SE +/- 1.88, N = 3SE +/- 1.11, N = 34203.214780.241861.721. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUAVX-512 256b DPAVX-512 512b DPAVX-512 Off1530456075SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 330.3526.6368.68MIN: 17.71 / MAX: 42.78MIN: 15.61 / MAX: 47.58MIN: 40.62 / MAX: 87.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUAVX-512 256b DPAVX-512 512b DPAVX-512 Off7001400210028003500SE +/- 3.53, N = 3SE +/- 5.22, N = 3SE +/- 0.80, N = 32855.343297.852626.831. (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 512b DPAVX-512 Off612182430SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 322.3619.2924.30MIN: 11.44 / MAX: 40.97MIN: 9.84 / MAX: 44.85MIN: 13.82 / MAX: 53.771. (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 512b DPAVX-512 Off3K6K9K12K15KSE +/- 6.22, N = 3SE +/- 7.20, N = 3SE +/- 1.32, N = 310058.8413925.764727.351. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUAVX-512 256b DPAVX-512 512b DPAVX-512 Off3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 36.294.4913.35MIN: 3.16 / MAX: 20.63MIN: 1.96 / MAX: 22.35MIN: 6.22 / MAX: 36.51. (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 512b DPAVX-512 Off2K4K6K8K10KSE +/- 47.84, N = 3SE +/- 29.86, N = 3SE +/- 16.72, N = 310112.3410450.983010.631. (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 512b DPAVX-512 Off1020304050SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.24, N = 311.7910.7542.42MIN: 6.96 / MAX: 33.85MIN: 6.13 / MAX: 31.81MIN: 15.51 / MAX: 60.871. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -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 512b DPAVX-512 Off51015202519.9820.2520.421. (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 512b DPAVX-512 Off4080120160200163.51161.00161.951. (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

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 13 - Input: Bosphorus 4KAVX-512 256b DPAVX-512 512b DPAVX-512 Off90180270360450SE +/- 6.38, N = 15SE +/- 6.48, N = 15SE +/- 0.63, N = 6388.54400.90378.43-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 8 - Input: Bosphorus 4KAVX-512 256b DPAVX-512 512b DPAVX-512 Off306090120150SE +/- 0.47, N = 3SE +/- 0.52, N = 3SE +/- 0.40, N = 3108.12114.98101.84-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 512b DPAVX-512 Off1122334455SE +/- 0.20, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 348.6050.7446.25-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 512b DPAVX-512 Off48121620SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 313.7614.2813.04-mavx2 -mavx512f -mavx512bw -mavx512dq-mavx2 -mavx512f -mavx512bw -mavx512dq1. (CXX) g++ options: -march=native -mno-avx

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 512b DPAVX-512 Off50100150200250SE +/- 0.05, N = 8SE +/- 0.09, N = 8SE +/- 0.08, N = 8221.38223.14205.95MIN: 217.86 / MAX: 225.89MIN: 218.68 / MAX: 229MIN: 202.63 / MAX: 210.88

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjAVX-512 256b DPAVX-512 512b DPAVX-512 Off4080120160200SE +/- 0.11, N = 5SE +/- 0.08, N = 5SE +/- 0.17, N = 5190.12191.64178.48MIN: 186.67 / MAX: 194.33MIN: 188.18 / MAX: 196.08MIN: 174.73 / MAX: 183.09

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownAVX-512 256b DPAVX-512 512b DPAVX-512 Off4080120160200SE +/- 0.12, N = 8SE +/- 0.09, N = 8SE +/- 0.18, N = 8178.13179.68167.00MIN: 173.22 / MAX: 184.71MIN: 174.97 / MAX: 186.29MIN: 162.73 / MAX: 173.25

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCAVX-512 256b DPAVX-512 512b DPAVX-512 Off8001600240032004000SE +/- 1.76, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3356036603099MIN: 284 / MAX: 41727MIN: 293 / MAX: 42710MIN: 245 / MAX: 36357

OSPRay

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.2Benchmark: gravity_spheres_volume/dim_512/ao/real_timeAVX-512 256b DPAVX-512 512b DPAVX-512 Off1122334455SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.01, N = 345.4146.9731.72

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.2Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeAVX-512 256b DPAVX-512 512b DPAVX-512 Off1122334455SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 344.7946.3330.61

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.2Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeAVX-512 256b DPAVX-512 512b DPAVX-512 Off1122334455SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 349.3550.9042.13

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 512b DPAVX-512 Off150300450600750SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.00, N = 3671639714

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUAVX-512 256b DPAVX-512 512b DPAVX-512 Off2K4K6K8K10KSE +/- 5.86, N = 3SE +/- 9.28, N = 3SE +/- 7.69, N = 3107331016911396

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUAVX-512 256b DPAVX-512 512b DPAVX-512 Off5K10K15K20K25KSE +/- 6.39, N = 3SE +/- 25.38, N = 3SE +/- 34.33, N = 3215392037922869

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUAVX-512 256b DPAVX-512 512b DPAVX-512 Off160320480640800SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3675642719

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUAVX-512 256b DPAVX-512 512b DPAVX-512 Off2K4K6K8K10KSE +/- 11.85, N = 3SE +/- 10.11, N = 3SE +/- 2.85, N = 3108161023111451

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUAVX-512 256b DPAVX-512 512b DPAVX-512 Off5K10K15K20K25KSE +/- 8.65, N = 3SE +/- 8.88, N = 3SE +/- 25.87, N = 3216462043822955

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUAVX-512 256b DPAVX-512 512b DPAVX-512 Off2004006008001000SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3791752836

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUAVX-512 256b DPAVX-512 512b DPAVX-512 Off3K6K9K12K15KSE +/- 7.80, N = 3SE +/- 7.06, N = 3SE +/- 13.35, N = 3126931196313357

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUAVX-512 256b DPAVX-512 512b DPAVX-512 Off7K14K21K28K35KSE +/- 2.00, N = 3SE +/- 20.00, N = 3SE +/- 109.14, N = 3253932403030820

simdjson

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: PartialTweetsAVX-512 256b DPAVX-512 512b DPAVX-512 Off3691215SE +/- 0.09, N = 6SE +/- 0.09, N = 15SE +/- 0.04, N = 38.609.467.301. (CXX) g++ options: -O3 -lrt

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: LargeRandomAVX-512 256b DPAVX-512 512b DPAVX-512 Off0.35780.71561.07341.43121.789SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.571.591.401. (CXX) g++ options: -O3 -lrt

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: KostyaAVX-512 256b DPAVX-512 512b DPAVX-512 Off1.32752.6553.98255.316.6375SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.665.904.691. (CXX) g++ options: -O3 -lrt

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: DistinctUserIDAVX-512 256b DPAVX-512 512b DPAVX-512 Off3691215SE +/- 0.04, N = 3SE +/- 0.12, N = 4SE +/- 0.02, N = 38.999.927.641. (CXX) g++ options: -O3 -lrt

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: TopTweetAVX-512 256b DPAVX-512 512b DPAVX-512 Off3691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.849.877.491. (CXX) g++ options: -O3 -lrt

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 512b DPAVX-512 Off8001600240032004000Min: 2172 / Avg: 3712.06 / Max: 4195Min: 1886 / Avg: 3621.72 / Max: 4224Min: 2294 / Avg: 3647.31 / Max: 4647

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringAVX-512 256b DPAVX-512 512b DPAVX-512 Off90180270360450Min: 22.32 / Avg: 305.93 / Max: 503.55Min: 22.21 / Avg: 292.98 / Max: 502.06Min: 22.25 / Avg: 297.71 / Max: 505.2

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringAVX-512 256b DPAVX-512 512b DPAVX-512 Off1326395265Min: 25.13 / Avg: 49.34 / Max: 63.75Min: 23.88 / Avg: 50.93 / Max: 66Min: 26.13 / Avg: 49.06 / Max: 63.5

85 Results Shown

Y-Cruncher:
  1B
  5B
  10B
SMHasher
Xmrig
miniBUDE:
  OpenMP - BM1:
    GFInst/s
    Billion Interactions/s
  OpenMP - BM2:
    GFInst/s
    Billion Interactions/s
TensorFlow:
  CPU - 256 - ResNet-50
  CPU - 512 - ResNet-50
Numpy Benchmark
Mobile Neural Network:
  mobilenetV3
  resnet-v2-50
ONNX Runtime:
  fcn-resnet101-11 - CPU - Standard
  super-resolution-10 - CPU - Standard
libxsmm
ONNX Runtime:
  bertsquad-12 - CPU - Standard
  GPT-2 - CPU - Standard
  ArcFace ResNet-100 - CPU - Standard
  ResNet101_DUC_HDC-12 - CPU - Standard
PyTorch:
  CPU - 1 - ResNet-50
  CPU - 256 - ResNet-50
  CPU - 512 - ResNet-50
GROMACS
NAMD:
  ATPase with 327,506 Atoms
  STMV with 1,066,628 Atoms
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:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Face Detection Retail FP16-INT8 - CPU:
    FPS
    ms
  Handwritten English Recognition FP16-INT8 - CPU:
    FPS
    ms
  Road Segmentation ADAS FP16-INT8 - CPU:
    FPS
    ms
  Person Re-Identification Retail FP16 - CPU:
    FPS
    ms
  Noise Suppression Poconet-Like FP16 - CPU:
    FPS
    ms
OpenFOAM:
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Execution Time
SVT-AV1:
  Preset 13 - Bosphorus 4K
  Preset 8 - Bosphorus 4K
  Preset 5 - Bosphorus 4K
  Preset 3 - Bosphorus 4K
Embree:
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer ISPC - Crown
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 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
simdjson:
  PartialTweets
  LargeRand
  Kostya
  DistinctUserID
  TopTweet
CPU Peak Freq (Highest CPU Core Frequency) Monitor:
  Phoronix Test Suite System Monitoring:
    Megahertz
    Watts
    Celsius