df2888

Intel Xeon E E-2488 testing with a Supermicro Super Server X13SCL-F v0123456789 (1.1 BIOS) and llvmpipe on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2403242-NE-DF288805368
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Timed Code Compilation 6 Tests
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df2888OpenBenchmarking.orgPhoronix Test SuiteIntel Xeon E E-2488 @ 3.20GHz (8 Cores / 16 Threads)Supermicro Super Server X13SCL-F v0123456789 (1.1 BIOS)Intel Device 7a272 x 32GB DRAM-4400MT/s Micron MTC20C2085S1EC48BA1960GB Micron_7450_MTFDKBA960TFR + 3201GB Micron_7450_MTFDKCC3T2TFSllvmpipeVE2282 x Intel I210Ubuntu 22.046.2.0-26-generic (x86_64)GNOME Shell 42.9X Server 1.21.1.41.3.238GCC 11.4.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionDf2888 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x11f - Thermald 2.4.9 - Python 3.10.12- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

abcResult OverviewPhoronix Test Suite100%101%102%104%105%Timed FFmpeg Compilationx2657-Zip CompressionNeural Magic DeepSparseuvg266SVT-VP9SPECFEM3DSVT-HEVCNAMDClickHouseGROMACSTimed LLVM CompilationSVT-AV1BRL-CADTimed Linux Kernel CompilationTimed GCC CompilationVVenCOpenVINOPostgreSQLTimed Godot Game Engine CompilationTimed Node.js CompilationBlenderOpenFOAMx264

df2888openfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timebuild-linux-kernel: allmodconfigblender: Barbershop - CPU-Onlybuild-gcc: Time To Compilebuild-llvm: Unix Makefilesbuild-llvm: Ninjapgbench: 1000 - 800 - Read Write - Average Latencypgbench: 1000 - 800 - Read Writepgbench: 1000 - 1000 - Read Write - Average Latencypgbench: 1000 - 1000 - Read Writebuild-nodejs: Time To Compilebrl-cad: VGR Performance Metricblender: Pabellon Barcelona - CPU-Onlypgbench: 1000 - 800 - Read Only - Average Latencypgbench: 1000 - 800 - Read Onlypgbench: 1 - 1000 - Read Write - Average Latencypgbench: 1 - 1000 - Read Writeblender: Classroom - CPU-Onlybuild-godot: Time To Compilesvt-hevc: 1 - Bosphorus 4Kclickhouse: 100M Rows Hits Dataset, Third Runclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, First Run / Cold Cachenamd: STMV with 1,066,628 Atomsspecfem3d: Homogeneous Halfspaceopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUpgbench: 1000 - 1000 - Read Only - Average Latencypgbench: 1000 - 1000 - Read Onlygromacs: MPI CPU - water_GMX50_bareblender: Fishy Cat - CPU-Onlyopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timespecfem3d: Layered Halfspacespecfem3d: Water-layered Halfspacepgbench: 100 - 1000 - Read Only - Average Latencypgbench: 100 - 1000 - Read Onlypgbench: 100 - 1000 - Read Write - Average Latencypgbench: 100 - 1000 - Read Writepgbench: 100 - 800 - Read Only - Average Latencypgbench: 100 - 800 - Read Onlypgbench: 100 - 800 - Read Write - Average Latencypgbench: 100 - 800 - Read Writepgbench: 1 - 800 - Read Write - Average Latencypgbench: 1 - 800 - Read Writepgbench: 1 - 800 - Read Only - Average Latencypgbench: 1 - 800 - Read Onlypgbench: 1 - 1000 - Read Only - Average Latencypgbench: 1 - 1000 - Read Onlyblender: BMW27 - CPU-Onlyvvenc: Bosphorus 4K - Fastuvg266: Bosphorus 4K - Slowbuild-linux-kernel: defconfiguvg266: Bosphorus 4K - Mediumdeepsparse: ResNet-50, Sparse INT8 - Synchronous Single-Streamdeepsparse: ResNet-50, Sparse INT8 - Synchronous Single-Streamspecfem3d: Mount St. Helensnamd: ATPase with 327,506 Atomsopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUsvt-hevc: 1 - Bosphorus 1080popenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUspecfem3d: Tomographic Modelvvenc: Bosphorus 4K - Fastervvenc: Bosphorus 1080p - Fasterdeepsparse: Llama2 Chat 7b Quantized - Asynchronous Multi-Streamdeepsparse: Llama2 Chat 7b Quantized - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: Llama2 Chat 7b Quantized - Synchronous Single-Streamdeepsparse: Llama2 Chat 7b Quantized - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Synchronous Single-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streambuild-ffmpeg: Time To Compiledeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Streamvvenc: Bosphorus 1080p - Fastdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamsvt-av1: Preset 4 - Bosphorus 4Kdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Synchronous Single-Streamdeepsparse: ResNet-50, Baseline - Synchronous Single-Streamdeepsparse: ResNet-50, Baseline - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamsvt-av1: Preset 4 - Bosphorus 1080puvg266: Bosphorus 4K - Very Fastx265: Bosphorus 4Kuvg266: Bosphorus 4K - Super Fastsvt-vp9: PSNR/SSIM Optimized - Bosphorus 4Kuvg266: Bosphorus 4K - Ultra Fastx265: Bosphorus 1080pcompress-7zip: Decompression Ratingcompress-7zip: Compression Ratinguvg266: Bosphorus 1080p - Very Fastsvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Ksvt-hevc: 10 - Bosphorus 4Kx264: Bosphorus 4Kuvg266: Bosphorus 1080p - Slowsvt-av1: Preset 8 - Bosphorus 4Kuvg266: Bosphorus 1080p - Super Fastuvg266: Bosphorus 1080p - Mediumx264: Bosphorus 1080psvt-hevc: 7 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 4Ksvt-vp9: Visual Quality Optimized - Bosphorus 4Ksvt-vp9: VMAF Optimized - Bosphorus 4Kuvg266: Bosphorus 1080p - Ultra Fastsvt-av1: Preset 8 - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080pabc2182.8387221.906241311.8741297.10791.266646.617636.00029.1052754139.72525189523.986189384414.011.292619738575.6091743336.83307.1152.38243.23234.71226.100.2093772.92466691444.8089.401.6685995141.387165.95226.4832930.329564150.981664264139.2100426181.41170888733.396299450.95284080922.87534974341.05223470.8289658131.164859514123.524.9545.9791.8506.681.4926667.993056.7546860870.672081495.102.689.54371.8210.74118.7433.68140.1628.53137.8529.0138.04210.1915.19524.2210.38384.9018.18439.7643.92182.1052.04153.6616.08497.274.891634.3129.22273.6216.60240.789.88808.937.681040.680.3621990.190.938563.7656.66165837111.60440.203781.11955.071111.9383334.7119124.61958.0234109.83189.10633.8825257.33179.8776101.155126.4927150.8967362.274311.0411446.58878.956642.186445.64028.9756111.06309.003695.444710.475815.44851.320477.94174.9727802.074014.828367.43134.35472.630955.064136.5726109.338336.5959109.270019.234251.977810.269597.335910.271397.317816.22619.3119.4820.3183.7624.8984.85651809560991.58105.783106.953103.0531.0032.9035.47198.2637.15155.70171.8948.3859.6781.76120.88136.088224.63281.08291.27381.27532.480644.2812184.3425222.693321308.5431298.17790.868639.853629.4730.7952597840.43424732522.107187148413.661.36588199541.6251846335.62306.6562.37239.55240.38226.190.2092772.25806154839.65100.831.7215810011.406165.79226.1110330.018778151.953370514139.3303027371.38672151733.509298430.94884401523.26834383357.81122360.74210783771.108902210122.724.9465.9890.4936.681.4802673.15357.067255620.667331502.552.669.59374.6410.67118.6833.7137.6229.06135.4829.537.5213.2215.09527.5410.42383.4518.17439.9343.88182.2151.83154.2816.01499.464.881639.4629.35272.4616.69239.5510.06794.567.711036.690.3621792.130.938538.5956.61069074411.69640.747775.75965.106311.7243340.8214124.47198.0329106.1979.4163.8228261.26929.7105102.88625.5887156.2254355.52711.2502419.60259.532540.222442.90289.0311106.58219.381993.845410.654215.56650.255479.57934.9012813.733614.550768.70724.33671.69955.77935.5844112.375835.3948112.977718.553853.883910.02199.737110.060199.327215.72119.2319.520.989.4724.7291.03679349661698.64117.032109.008101.6930.6232.4936.024108.3936.75157.78166.250.9865.1180.44126.91135.705225.96274.27291.65381.92531.906644.7562183.0958222.193011308.9251294.72789.594643.708630.04127.8892868543.3723058523.423188833413.871.345594778551.0091815336.08304.5822.37238.31237.98218.800.2060171.57088458845.8787.161.7345765861.403165.05226.4173930.039036144.466011134138.2543752021.43169905033.156301601.00979323623.54633976331.59224130.75610578781.171853917122.814.9525.9890.5056.711.4665679.280956.1431927280.656831499.572.669.65370.2710.79119.4533.48133.8829.87138.6428.8537.82211.4315.11527.210.43383.2318.24438.2944.09181.3951.99153.8116499.924.881636.6429.37272.2516.57241.229.78817.167.61051.220.3621757.770.948495.0455.57467586311.6539.798776.83135.099511.9559334.2017124.55378.0276111.05899.00383.8275260.95559.7892102.062626.3635151.6354356.213411.2285441.68929.055940.383439.84179.0939111.31078.983593.656810.675615.49450.382979.37794.7965831.544314.557768.6724.36772.731354.987536.1354110.662836.6494109.109718.628353.667410.045599.490710.055399.393915.81519.2719.6320.2688.8824.689.72673349689296.72110.569113.63105.1731.6332.9436.156104.6136.9152.15185.2449.0766.1580.61122.28124.188224.72274.48292.25382.17532.511644.695OpenBenchmarking.org

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, Medium Mesh Size - Execution Timecba50010001500200025002183.102184.342182.841. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh Timecba50100150200250222.19222.69221.911. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfigcba30060090012001500SE +/- 0.39, N = 31308.931308.541311.87

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Barbershop - Compute: CPU-Onlycba30060090012001500SE +/- 0.90, N = 31294.721298.171297.10

Timed GCC Compilation

This test times how long it takes to build the GNU Compiler Collection (GCC) open-source compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 13.2Time To Compilecba2004006008001000SE +/- 1.92, N = 3789.59790.87791.27

Timed LLVM Compilation

This test times how long it takes to compile/build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix Makefilescba140280420560700SE +/- 2.26, N = 3643.71639.85646.62

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Ninjacba140280420560700SE +/- 2.72, N = 3630.04629.47636.00

PostgreSQL

This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 1000 - Clients: 800 - Mode: Read Write - Average Latencycba714212835SE +/- 0.39, N = 1227.8930.8029.111. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 1000 - Clients: 800 - Mode: Read Writecba6K12K18K24K30KSE +/- 372.60, N = 122868525978275411. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 1000 - Clients: 1000 - Mode: Read Write - Average Latencycba1020304050SE +/- 0.30, N = 1243.3740.4339.731. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 1000 - Clients: 1000 - Mode: Read Writecba5K10K15K20K25KSE +/- 190.45, N = 122305824732251891. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To Compilecba110220330440550SE +/- 0.47, N = 3523.42522.11523.99

BRL-CAD

BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.38.2VGR Performance Metriccba40K80K120K160K200K1888331871481893841. (CXX) g++ options: -std=c++17 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lnetpbm -lregex_brl -lz_brl -lassimp -ldl -lm -ltk8.6

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Pabellon Barcelona - Compute: CPU-Onlycba90180270360450SE +/- 0.40, N = 3413.87413.66414.01

PostgreSQL

This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 1000 - Clients: 800 - Mode: Read Only - Average Latencycba0.3060.6120.9181.2241.53SE +/- 0.011, N = 91.3451.3601.2921. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 1000 - Clients: 800 - Mode: Read Onlycba130K260K390K520K650KSE +/- 5061.88, N = 95947785881996197381. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 1000 - Mode: Read Write - Average Latencycba120240360480600SE +/- 10.12, N = 12551.01541.63575.611. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 1000 - Mode: Read Writecba400800120016002000SE +/- 28.21, N = 121815184617431. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Classroom - Compute: CPU-Onlycba70140210280350SE +/- 0.33, N = 3336.08335.62336.83

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To Compilecba70140210280350SE +/- 0.18, N = 3304.58306.66307.12

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4Kcba0.53551.0711.60652.1422.6775SE +/- 0.00, N = 32.372.372.381. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third Runcba50100150200250SE +/- 1.48, N = 3238.31239.55243.23MIN: 9.23 / MAX: 8571.43MIN: 9.46 / MAX: 10000MIN: 9.39 / MAX: 10000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second Runcba50100150200250SE +/- 0.63, N = 3237.98240.38234.71MIN: 9.26 / MAX: 8571.43MIN: 9.44 / MAX: 12000MIN: 9.36 / MAX: 10000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold Cachecba50100150200250SE +/- 0.26, N = 3218.80226.19226.10MIN: 9.11 / MAX: 10000MIN: 9.16 / MAX: 8571.43MIN: 9.15 / MAX: 10000

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 Atomscba0.04710.09420.14130.18840.2355SE +/- 0.00013, N = 30.206010.209270.20937

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Homogeneous Halfspacecba1632486480SE +/- 1.31, N = 1271.5772.2672.921. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

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: Road Segmentation ADAS FP16 - Device: CPUcba1020304050SE +/- 0.49, N = 1545.8739.6544.80MIN: 28.97 / MAX: 51.94MIN: 31.4 / MAX: 49.78MIN: 17.6 / MAX: 66.041. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16 - Device: CPUcba20406080100SE +/- 1.01, N = 1587.16100.8389.401. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

PostgreSQL

This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 1000 - Clients: 1000 - Mode: Read Only - Average Latencycba0.39020.78041.17061.56081.951SE +/- 0.016, N = 31.7341.7211.6681. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 1000 - Clients: 1000 - Mode: Read Onlycba130K260K390K520K650KSE +/- 5543.80, N = 35765865810015995141. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

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_barecba0.31640.63280.94921.26561.582SE +/- 0.015, N = 51.4031.4061.3871. (CXX) g++ options: -O3 -lm

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Fishy Cat - Compute: CPU-Onlycba4080120160200SE +/- 0.37, N = 3165.05165.79165.95

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 Timecba50100150200250226.42226.11226.481. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh Timecba71421283530.0430.0230.331. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Layered Halfspacecba306090120150SE +/- 1.25, N = 3144.47151.95150.981. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Water-layered Halfspacecba306090120150SE +/- 0.57, N = 3138.25139.33139.211. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

PostgreSQL

This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latencycba0.3220.6440.9661.2881.61SE +/- 0.016, N = 31.4311.3861.4111. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Onlycba150K300K450K600K750KSE +/- 8095.75, N = 36990507215177088871. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latencycba816243240SE +/- 0.14, N = 333.1633.5133.401. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Writecba6K12K18K24K30KSE +/- 122.20, N = 33016029843299451. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latencycba0.2270.4540.6810.9081.135SE +/- 0.010, N = 31.0090.9480.9521. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Onlycba200K400K600K800K1000KSE +/- 8610.85, N = 37932368440158408091. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latencycba612182430SE +/- 0.06, N = 323.5523.2722.881. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Writecba7K14K21K28K35KSE +/- 96.04, N = 33397634383349741. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 800 - Mode: Read Write - Average Latencycba80160240320400SE +/- 4.95, N = 3331.59357.81341.051. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 800 - Mode: Read Writecba5001000150020002500SE +/- 33.78, N = 32413223623471. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latencycba0.18630.37260.55890.74520.9315SE +/- 0.002, N = 30.7560.7420.8281. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 800 - Mode: Read Onlycba200K400K600K800K1000KSE +/- 2188.42, N = 3105787810783779658131. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 1000 - Mode: Read Only - Average Latencycba0.26350.5270.79051.0541.3175SE +/- 0.010, N = 31.1711.1081.1641. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 1000 - Mode: Read Onlycba200K400K600K800K1000KSE +/- 6896.35, N = 38539179022108595141. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: BMW27 - Compute: CPU-Onlycba306090120150SE +/- 0.23, N = 3122.81122.72123.52

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: Fastcba1.11472.22943.34414.45885.5735SE +/- 0.024, N = 34.9524.9464.9541. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Slowcba1.34552.6914.03655.3826.7275SE +/- 0.01, N = 35.985.985.97

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: defconfigcba20406080100SE +/- 0.18, N = 390.5190.4991.85

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Mediumcba246810SE +/- 0.00, N = 36.716.686.68

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Streamcba0.33580.67161.00741.34321.679SE +/- 0.0116, N = 101.46651.48021.4926

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Streamcba150300450600750SE +/- 5.27, N = 10679.28673.15667.99

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Mount St. Helenscba1326395265SE +/- 0.60, N = 556.1457.0756.751. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 Atomscba0.15120.30240.45360.60480.756SE +/- 0.00274, N = 30.656830.667330.67208

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 - Device: CPUcba30060090012001500SE +/- 5.23, N = 31499.571502.551495.10MIN: 1217.27 / MAX: 1680.47MIN: 1181.84 / MAX: 1684.45MIN: 1179.18 / MAX: 1678.081. (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 FP16 - Device: CPUcba0.6031.2061.8092.4123.015SE +/- 0.01, N = 32.662.662.681. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080pcba3691215SE +/- 0.03, N = 39.659.599.541. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

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: CPUcba80160240320400SE +/- 1.42, N = 3370.27374.64371.82MIN: 284.02 / MAX: 518.25MIN: 283.87 / MAX: 471.9MIN: 283.89 / MAX: 476.91. (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 FP16-INT8 - Device: CPUcba3691215SE +/- 0.05, N = 310.7910.6710.741. (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: CPUcba306090120150SE +/- 0.23, N = 3119.45118.68118.74MIN: 92.57 / MAX: 198.03MIN: 90.15 / MAX: 196.79MIN: 92.44 / MAX: 207.31. (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: CPUcba816243240SE +/- 0.06, N = 333.4833.7033.681. (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 FP32 - Device: CPUcba306090120150SE +/- 0.35, N = 3133.88137.62140.16MIN: 115.87 / MAX: 217.54MIN: 115.29 / MAX: 146.55MIN: 114.55 / MAX: 222.641. (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 FP32 - Device: CPUcba714212835SE +/- 0.07, N = 329.8729.0628.531. (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: CPUcba306090120150SE +/- 1.56, N = 3138.64135.48137.85MIN: 114.61 / MAX: 225.73MIN: 115.39 / MAX: 224.16MIN: 112.51 / MAX: 221.341. (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: CPUcba714212835SE +/- 0.32, N = 328.8529.5029.011. (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: CPUcba918273645SE +/- 0.13, N = 337.8237.5038.04MIN: 21.82 / MAX: 84.8MIN: 26.78 / MAX: 87.54MIN: 21.24 / MAX: 90.731. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUcba50100150200250SE +/- 0.70, N = 3211.43213.22210.191. (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: CPUcba48121620SE +/- 0.03, N = 315.1115.0915.19MIN: 10.08 / MAX: 54.61MIN: 9.56 / MAX: 53.46MIN: 9.31 / MAX: 55.491. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUcba110220330440550SE +/- 0.86, N = 3527.20527.54524.221. (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: CPUcba3691215SE +/- 0.01, N = 310.4310.4210.38MIN: 7.42 / MAX: 34.61MIN: 6.07 / MAX: 30.65MIN: 6.09 / MAX: 31.651. (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: CPUcba80160240320400SE +/- 0.46, N = 3383.23383.45384.901. (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: CPUcba48121620SE +/- 0.03, N = 318.2418.1718.18MIN: 9.91 / MAX: 48.24MIN: 9.62 / MAX: 52.96MIN: 9.82 / MAX: 46.591. (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: CPUcba100200300400500SE +/- 0.80, N = 3438.29439.93439.761. (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: CPUcba1020304050SE +/- 0.23, N = 344.0943.8843.92MIN: 32.81 / MAX: 104.25MIN: 32.8 / MAX: 111.1MIN: 32.41 / MAX: 102.381. (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: CPUcba4080120160200SE +/- 0.96, N = 3181.39182.21182.101. (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 - Device: CPUcba1224364860SE +/- 0.22, N = 351.9951.8352.04MIN: 39.27 / MAX: 121.44MIN: 39.59 / MAX: 122.23MIN: 38.84 / MAX: 116.681. (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 - Device: CPUcba306090120150SE +/- 0.64, N = 3153.81154.28153.661. (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: CPUcba48121620SE +/- 0.08, N = 316.0016.0116.08MIN: 10.21 / MAX: 59.04MIN: 10.53 / MAX: 53.92MIN: 10.36 / MAX: 57.941. (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: CPUcba110220330440550SE +/- 2.47, N = 3499.92499.46497.271. (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: CPUcba1.10032.20063.30094.40125.5015SE +/- 0.02, N = 34.884.884.89MIN: 3.52 / MAX: 27.88MIN: 3.54 / MAX: 21.77MIN: 3.4 / MAX: 23.021. (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: CPUcba400800120016002000SE +/- 5.93, N = 31636.641639.461634.311. (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 - Device: CPUcba714212835SE +/- 0.09, N = 329.3729.3529.22MIN: 15.64 / MAX: 69.57MIN: 15.67 / MAX: 72.92MIN: 15.45 / MAX: 72.821. (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 - Device: CPUcba60120180240300SE +/- 0.87, N = 3272.25272.46273.621. (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 - Device: CPUcba48121620SE +/- 0.04, N = 316.5716.6916.60MIN: 7.95 / MAX: 34.05MIN: 11.64 / MAX: 52.91MIN: 8.7 / MAX: 42.871. (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 - Device: CPUcba50100150200250SE +/- 0.65, N = 3241.22239.55240.781. (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 - Device: CPUcba3691215SE +/- 0.11, N = 39.7810.069.88MIN: 6.25 / MAX: 37.55MIN: 4.92 / MAX: 36.16MIN: 5.09 / MAX: 39.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16 - Device: CPUcba2004006008001000SE +/- 9.03, N = 3817.16794.56808.931. (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: CPUcba246810SE +/- 0.03, N = 37.607.717.68MIN: 5.3 / MAX: 31.74MIN: 4.97 / MAX: 32.25MIN: 4.73 / MAX: 36.91. (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: CPUcba2004006008001000SE +/- 3.64, N = 31051.221036.691040.681. (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: CPUcba0.0810.1620.2430.3240.405SE +/- 0.00, N = 30.360.360.36MIN: 0.19 / MAX: 8.1MIN: 0.21 / MAX: 7.95MIN: 0.19 / MAX: 8.341. (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: CPUcba5K10K15K20K25KSE +/- 20.16, N = 321757.7721792.1321990.191. (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 - Device: CPUcba0.21150.4230.63450.8461.0575SE +/- 0.00, N = 30.940.930.93MIN: 0.57 / MAX: 17.21MIN: 0.55 / MAX: 9.6MIN: 0.5 / MAX: 10.021. (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 - Device: CPUcba2K4K6K8K10KSE +/- 16.19, N = 38495.048538.598563.761. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Tomographic Modelcba1326395265SE +/- 0.29, N = 355.5756.6156.661. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: Fastercba3691215SE +/- 0.01, N = 311.6511.7011.601. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 1080p - Video Preset: Fastercba918273645SE +/- 0.28, N = 1539.8040.7540.201. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: Llama2 Chat 7b Quantized - Scenario: Asynchronous Multi-Streamcba2004006008001000SE +/- 1.38, N = 3776.83775.76781.12

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: Llama2 Chat 7b Quantized - Scenario: Asynchronous Multi-Streamcba1.14892.29783.44674.59565.7445SE +/- 0.0090, N = 35.09955.10635.0711

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamcba3691215SE +/- 0.02, N = 311.9611.7211.94

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamcba70140210280350SE +/- 0.48, N = 3334.20340.82334.71

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: Llama2 Chat 7b Quantized - Scenario: Synchronous Single-Streamcba306090120150SE +/- 0.06, N = 3124.55124.47124.62

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: Llama2 Chat 7b Quantized - Scenario: Synchronous Single-Streamcba246810SE +/- 0.0042, N = 38.02768.03298.0234

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Streamcba20406080100SE +/- 1.11, N = 3111.06106.20109.83

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Streamcba3691215SE +/- 0.0932, N = 39.00389.41609.1063

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Streamcba0.87361.74722.62083.49444.368SE +/- 0.0378, N = 33.82753.82283.8825

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Streamcba60120180240300SE +/- 2.52, N = 3260.96261.27257.33

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Streamcba3691215SE +/- 0.0846, N = 39.78929.71059.8776

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Streamcba20406080100SE +/- 0.86, N = 3102.06102.89101.16

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamcba612182430SE +/- 0.03, N = 326.3625.5926.49

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamcba306090120150SE +/- 0.16, N = 3151.64156.23150.90

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamcba80160240320400SE +/- 1.69, N = 3356.21355.53362.27

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamcba3691215SE +/- 0.05, N = 311.2311.2511.04

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamcba100200300400500SE +/- 0.58, N = 3441.69419.60446.59

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamcba3691215SE +/- 0.0116, N = 39.05599.53258.9566

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To Compilecba1020304050SE +/- 0.05, N = 340.3840.2242.19

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamcba100200300400500SE +/- 0.33, N = 3439.84442.90445.64

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamcba3691215SE +/- 0.0066, N = 39.09399.03118.9756

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Streamcba20406080100SE +/- 0.25, N = 3111.31106.58111.06

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Streamcba3691215SE +/- 0.0199, N = 38.98359.38199.0036

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Streamcba20406080100SE +/- 0.24, N = 393.6693.8595.44

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Streamcba3691215SE +/- 0.03, N = 310.6810.6510.48

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 1080p - Video Preset: Fastcba48121620SE +/- 0.04, N = 315.4915.5715.451. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamcba1224364860SE +/- 0.49, N = 350.3850.2651.32

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamcba20406080100SE +/- 0.75, N = 379.3879.5877.94

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamcba1.11892.23783.35674.47565.5945SE +/- 0.0110, N = 34.79654.90124.9727

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamcba2004006008001000SE +/- 1.78, N = 3831.54813.73802.07

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Streamcba48121620SE +/- 0.14, N = 314.5614.5514.83

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Streamcba1530456075SE +/- 0.62, N = 368.6768.7167.43

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 4Kcba0.98261.96522.94783.93044.913SE +/- 0.009, N = 34.3674.3364.3541. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streamcba1632486480SE +/- 0.13, N = 372.7371.7072.63

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streamcba1326395265SE +/- 0.10, N = 354.9955.7855.06

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamcba816243240SE +/- 0.02, N = 336.1435.5836.57

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamcba306090120150SE +/- 0.05, N = 3110.66112.38109.34

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamcba816243240SE +/- 0.06, N = 336.6535.3936.60

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamcba306090120150SE +/- 0.18, N = 3109.11112.98109.27

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Streamcba510152025SE +/- 0.02, N = 318.6318.5519.23

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Streamcba1224364860SE +/- 0.05, N = 353.6753.8851.98

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: ResNet-50, Baseline - Scenario: Synchronous Single-Streamcba3691215SE +/- 0.10, N = 310.0510.0210.27

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: ResNet-50, Baseline - Scenario: Synchronous Single-Streamcba20406080100SE +/- 0.95, N = 399.4999.7497.34

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.7Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Streamcba3691215SE +/- 0.11, N = 310.0610.0610.27

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.7Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Streamcba20406080100SE +/- 1.02, N = 399.3999.3397.32

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 1080pcba48121620SE +/- 0.12, N = 1515.8215.7216.231. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very Fastcba510152025SE +/- 0.12, N = 319.2719.2319.31

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4Kcba510152025SE +/- 0.08, N = 319.6319.5019.481. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super Fastcba510152025SE +/- 0.02, N = 320.2620.9020.31

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4Kcba20406080100SE +/- 0.78, N = 1588.8889.4783.761. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra Fastcba612182430SE +/- 0.14, N = 324.6024.7224.89

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pcba20406080100SE +/- 0.71, N = 1589.7291.0384.851. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Ratingcba15K30K45K60K75KSE +/- 855.85, N = 36733467934651801. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Ratingcba20K40K60K80K100KSE +/- 806.12, N = 39689296616956091. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Very Fastcba20406080100SE +/- 1.03, N = 1596.7298.6491.58

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4Kcba306090120150SE +/- 0.98, N = 15110.57117.03105.781. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4Kcba306090120150SE +/- 1.39, N = 15113.63109.01106.951. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4Kcba20406080100SE +/- 1.12, N = 14105.17101.69103.051. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

x264

This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 4Kcba714212835SE +/- 0.38, N = 331.6330.6231.001. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Slowcba816243240SE +/- 0.40, N = 332.9432.4932.90

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4Kcba816243240SE +/- 0.15, N = 336.1636.0235.471. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Super Fastcba20406080100SE +/- 1.28, N = 12104.61108.3998.26

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Mediumcba918273645SE +/- 0.23, N = 336.9036.7537.15

x264

This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 1080pcba306090120150SE +/- 2.82, N = 15152.15157.78155.701. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pcba4080120160200SE +/- 3.25, N = 15185.24166.20171.891. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 4Kcba1224364860SE +/- 0.07, N = 349.0750.9848.381. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 4Kcba1530456075SE +/- 0.69, N = 366.1565.1159.671. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4Kcba20406080100SE +/- 0.99, N = 480.6180.4481.761. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Ultra Fastcba306090120150SE +/- 0.11, N = 3122.28126.91120.88

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 1080pcba306090120150SE +/- 0.21, N = 3124.19135.71136.091. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080pcba50100150200250SE +/- 0.62, N = 3224.72225.96224.631. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pcba60120180240300SE +/- 4.04, N = 3274.48274.27281.081. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pcba60120180240300SE +/- 0.30, N = 3292.25291.65291.271. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pcba80160240320400SE +/- 0.21, N = 3382.17381.92381.271. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 1080pcba120240360480600SE +/- 1.61, N = 3532.51531.91532.481. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 1080pcba140280420560700SE +/- 0.52, N = 3644.70644.76644.281. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

177 Results Shown

OpenFOAM:
  drivaerFastback, Medium Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Mesh Time
Timed Linux Kernel Compilation
Blender
Timed GCC Compilation
Timed LLVM Compilation:
  Unix Makefiles
  Ninja
PostgreSQL:
  1000 - 800 - Read Write - Average Latency
  1000 - 800 - Read Write
  1000 - 1000 - Read Write - Average Latency
  1000 - 1000 - Read Write
Timed Node.js Compilation
BRL-CAD
Blender
PostgreSQL:
  1000 - 800 - Read Only - Average Latency
  1000 - 800 - Read Only
  1 - 1000 - Read Write - Average Latency
  1 - 1000 - Read Write
Blender
Timed Godot Game Engine Compilation
SVT-HEVC
ClickHouse:
  100M Rows Hits Dataset, Third Run
  100M Rows Hits Dataset, Second Run
  100M Rows Hits Dataset, First Run / Cold Cache
NAMD
SPECFEM3D
OpenVINO:
  Road Segmentation ADAS FP16 - CPU:
    ms
    FPS
PostgreSQL:
  1000 - 1000 - Read Only - Average Latency
  1000 - 1000 - Read Only
GROMACS
Blender
OpenFOAM:
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Small Mesh Size - Mesh Time
SPECFEM3D:
  Layered Halfspace
  Water-layered Halfspace
PostgreSQL:
  100 - 1000 - Read Only - Average Latency
  100 - 1000 - Read Only
  100 - 1000 - Read Write - Average Latency
  100 - 1000 - Read Write
  100 - 800 - Read Only - Average Latency
  100 - 800 - Read Only
  100 - 800 - Read Write - Average Latency
  100 - 800 - Read Write
  1 - 800 - Read Write - Average Latency
  1 - 800 - Read Write
  1 - 800 - Read Only - Average Latency
  1 - 800 - Read Only
  1 - 1000 - Read Only - Average Latency
  1 - 1000 - Read Only
Blender
VVenC
uvg266
Timed Linux Kernel Compilation
uvg266
Neural Magic DeepSparse:
  ResNet-50, Sparse INT8 - Synchronous Single-Stream:
    ms/batch
    items/sec
SPECFEM3D
NAMD
OpenVINO:
  Face Detection FP16 - CPU:
    ms
    FPS
SVT-HEVC
OpenVINO:
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
  Person Detection FP32 - CPU:
    ms
    FPS
  Person Detection FP16 - CPU:
    ms
    FPS
  Road Segmentation ADAS FP16-INT8 - CPU:
    ms
    FPS
  Noise Suppression Poconet-Like FP16 - CPU:
    ms
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
  Person Re-Identification Retail FP16 - CPU:
    ms
    FPS
  Handwritten English Recognition FP16-INT8 - CPU:
    ms
    FPS
  Handwritten English Recognition FP16 - CPU:
    ms
    FPS
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
  Face Detection Retail FP16-INT8 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16 - CPU:
    ms
    FPS
  Vehicle Detection FP16 - CPU:
    ms
    FPS
  Face Detection Retail FP16 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
SPECFEM3D
VVenC:
  Bosphorus 4K - Faster
  Bosphorus 1080p - Faster
Neural Magic DeepSparse:
  Llama2 Chat 7b Quantized - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  Llama2 Chat 7b Quantized - Synchronous Single-Stream:
    ms/batch
    items/sec
  NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream:
    ms/batch
    items/sec
  NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Synchronous Single-Stream:
    ms/batch
    items/sec
  BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Stream:
    ms/batch
    items/sec
  BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Timed FFmpeg Compilation
Neural Magic DeepSparse:
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream:
    ms/batch
    items/sec
  CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Stream:
    ms/batch
    items/sec
VVenC
Neural Magic DeepSparse:
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  ResNet-50, Sparse INT8 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream:
    ms/batch
    items/sec
SVT-AV1
Neural Magic DeepSparse:
  CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  ResNet-50, Baseline - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  CV Detection, YOLOv5s COCO, Sparse INT8 - Synchronous Single-Stream:
    ms/batch
    items/sec
  ResNet-50, Baseline - Synchronous Single-Stream:
    ms/batch
    items/sec
  CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream:
    ms/batch
    items/sec
SVT-AV1
uvg266
x265
uvg266
SVT-VP9
uvg266
x265
7-Zip Compression:
  Decompression Rating
  Compression Rating
uvg266
SVT-AV1:
  Preset 12 - Bosphorus 4K
  Preset 13 - Bosphorus 4K
SVT-HEVC
x264
uvg266
SVT-AV1
uvg266:
  Bosphorus 1080p - Super Fast
  Bosphorus 1080p - Medium
x264
SVT-HEVC:
  7 - Bosphorus 1080p
  7 - Bosphorus 4K
SVT-VP9:
  Visual Quality Optimized - Bosphorus 4K
  VMAF Optimized - Bosphorus 4K
uvg266
SVT-AV1
SVT-VP9:
  Visual Quality Optimized - Bosphorus 1080p
  VMAF Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
SVT-HEVC
SVT-AV1:
  Preset 12 - Bosphorus 1080p
  Preset 13 - Bosphorus 1080p