7773x

Tests for a future article. 2 x AMD EPYC 7573X 32-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED 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 2305044-NE-7773X849132
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7773x ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen Resolutionab5 a5 b5 2p a5 2p bAMD EPYC 7773X 64-Core @ 2.20GHz (64 Cores / 128 Threads)AMD DAYTONA_X (RYM1009B BIOS)AMD Starship/Matisse256GB3841GB Micron_9300_MTFDHAL3T8TDPASPEEDVE2282 x Mellanox MT27710Ubuntu 22.045.15.0-47-generic (x86_64)GNOME Shell 42.4X Server 1.21.1.31.2.204GCC 11.2.0ext41920x1080AMD EPYC 7573X 32-Core @ 2.80GHz (32 Cores / 64 Threads)2 x AMD EPYC 7573X 32-Core @ 2.80GHz (64 Cores / 128 Threads)512GBOpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001229Python Details- Python 3.10.6Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

ab5 a5 b5 2p a5 2p bResult OverviewPhoronix Test Suite100%144%187%231%274%OpenFOAMSPECFEM3DACES DGEMMEmbreeJohn The RipperTimed LLVM CompilationOpenVKLTimed FFmpeg CompilationVVenCFFmpegSVT-AV1QuantLib

7773x quantlib: openfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timespecfem3d: Mount St. Helensspecfem3d: Layered Halfspacespecfem3d: Tomographic Modelspecfem3d: Homogeneous Halfspacespecfem3d: Water-layered Halfspacejohn-the-ripper: bcryptjohn-the-ripper: WPA PSKjohn-the-ripper: Blowfishjohn-the-ripper: HMAC-SHA512john-the-ripper: MD5embree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objsvt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080pvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fastervvenc: Bosphorus 1080p - Fastvvenc: Bosphorus 1080p - Fastermt-dgemm: Sustained Floating-Point Rateopenvkl: vklBenchmark ISPCbuild-ffmpeg: Time To Compilebuild-llvm: Ninjabuild-llvm: Unix Makefilesffmpeg: libx265 - Liveffmpeg: libx265 - Liveffmpeg: libx265 - Uploadffmpeg: libx265 - Uploadffmpeg: libx265 - Platformffmpeg: libx265 - Platformffmpeg: libx265 - Video On Demandffmpeg: libx265 - Video On Demandgromacs: MPI CPU - water_GMX50_baredraco: Liondraco: Church Facadeblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlylczero: BLASlczero: Eigencloverleaf: Lagrangian-Eulerian Hydrodynamicspennant: sedovbigpennant: leblancbigincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionlulesh: compress-zstd: 3 - Compression Speedcompress-zstd: 3 - Decompression Speedcompress-zstd: 8 - Compression Speedcompress-zstd: 8 - Decompression Speedcompress-zstd: 12 - Compression Speedcompress-zstd: 12 - Decompression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 3, Long Mode - Compression Speedcompress-zstd: 3, Long Mode - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUespeak: Text-To-Speech Synthesisclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runaskap: tConvolve MT - Griddingaskap: tConvolve MT - Degriddingaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingaskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddingaskap: Hogbom Clean OpenMPncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: CPU - vision_transformerncnn: CPU - FastestDetopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUpetsc: Streamsopencv: Coreopencv: Graph APIopencv: Stitchingopencv: Object Detectionopencv: DNN - Deep Neural Networkab5 a5 b5 2p a5 2p b2746.524.72995740.45056825.34858340.48165211.67841461630.51891266113.86220230017.20934908228.0815409508623020138886460136796000553400069.107763.371178.475170.523873.844664.51174.86373.442222.837195.92410.295109.984604.842552.2416.28611.36716.55230.00629.38349647016.928165.707246.95747.74105.78116.9321.59173.2343.73173.4743.677.2904867579327.6172.4534.77260.8388.762692.425.59608540.244428120.39337363.735911.7533214630.11589970413.53017939416.81708024627.4675402739127620295787360135165000554300063.364773.82864.64094.82667.548214.933198.13510.234109.711601.984549.8346.12811.36416.37430.11429.0456946917.042164.449248.48147.206774889106.98116.8091581421.62172.5695669443.90172.53393950643.907.2994885583327.672.0234.61259.8788.735554514211.349.563615.1040784.4380412117.211847322257.13728191277.3988.51390270.81445.917.61276.8752.61300.8744.51434.29.31190.83969284112131.261071.246180.8276226.921453.124871183.63749.62228.157428.51439.07437.355493.358308.3332799.536827.520481.219018.3806.45217.8411.310.2915.611.7115.448.1219.0924.0410.897.1319.5823.9219.3253.52133.3919.0812.162608.348.053911.978.0439271205.1126.5427.031175.011889.0516.931198.4526.68138.84230.272674.2923.921888.216.9335737.821.7438091.461.6256185.75047706123581020116031910397562756.922.33739650.745904117.4378428.659218.8621990749.13614946919.08966485724.98744586745.70942713601921308486032596059000362100043.949240.240848.522843.958944.911839.19414.74365.337220.813199.6910.76107.382629.3571.0846.40611.96116.84631.83717.874534020.378230.378290.53945.71110.49110.0122.95162.1946.70161.5446.895.0224760571842.52113.3152.68408.79136.581419123812.0914.001117.9740225.0675640119.630500820920.4872856.61326.51067.81438.8289.11478.118.21304.2854.21361.5792.11460.19.541229.12719182442201.379960.625931.146564.495652.762341182.61679.64527.826437.20457.81456.306599.689611.0520991.724990.117750.419018.3869.56513.76.466.197.736.089.033.8214.1121.088.125.4814.819.9814.8526.34126.269.258.231935.65.482881.045.472886.12841.491917.92886.411244.8612.84822.1919.4592.61172.531767.1318.11252.0512.7725209.621.2627340.961.1631992.60686834320697018403227739399972820.422.70639950.699752117.6045427.7127619.35555309248.73867645419.63009634225.08962279744.334574335601521310726034594924000360500043.978740.119948.507444.188445.105439.22364.7670.856226.733196.06310.828108.364622.732560.5656.3912.0217.25331.79518.640333920.64231.091297.22345.79110.29110.1422.932760.922.56394633.00107999.384145205.463929.60945386825.22100674511.22476781314.49141946923.93606599711850225941311857979002000684500081.450873.330176.806768.692273.961264.40914.78462.836169.112169.65810.41107.1540.729525.1545.5489.57414.81224.49231.34451545215.455138.717219.40354.5892.52112.81976053722.38170.94271146344.31168.45694118644.978.2854734568222.5958.5527.96213.671.648284828615.677.6563694.2947312.4865429410.624130242030.0382783.71306.710241437.5283.61482.7181315.6808.51332.3702.81454.79.571222.94037394539962.678010.9118060.67433610.52211.851671390.361212.8427.868445.18463.68461.537738.5912506.741983.349980.112102.516641436.68177.7727.721.2633.2738.4935.1214.6593.2933.5538.9418.680.8138.137.17100.65144.3140.4515.862013.5210.542975.1510.642946.971632.8119.5834.83914.242504.3612.761594.1420.06175.48182.13501.6918.262523.5712.6639455.861.372850.823.33527532.97431699.93268203.651189.5947693525.47219029111.79752558514.41593115823.26803264111754225845711777173260000668300081.091373.260276.628768.702273.777964.04414.84269.536176.107172.57310.495104.169565.057546.0345.7689.90615.04424.26831.76087645215.344138.565221.78947.07107.29114.26177556222.10173.5600295843.64173.05225728343.778.2224818572922.5158.5727.9213.4671.737991781615.517.7933254.4180122.4838690810.762441642551.8982775.91309.51013.41441.1282.81498.9181312741.51336.5702.21445.19.51227.13968444407402.884510.9172260.66934910.36851.898591385.331305.9628.137440.56467.46448.037176.4111068.841983.351199.112678.915662.1434.783115.6838.6728.8837.8949.4660.7924.56112.4332.8151.828.55120.2745.8935.81128.35145.4953.2515.762020.2110.632948.3910.642952.761623.8319.6934.91912.422498.7412.791592.7120.07176.76180.913504.1518.252524.0512.6638800.341.440352.481.3374130.17892364454197022874928855387133OpenBenchmarking.org

QuantLib

QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.30ab5 a5 b5 2p a5 2p b6001200180024003000SE +/- 25.52, N = 32746.52692.42756.92820.42760.92850.81. (CXX) g++ options: -O3 -march=native -fPIE -pie

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 - Mesh Timeab5 a5 b5 2p a5 2p b61218243024.7325.6022.3422.7122.5623.341. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution Timeab5 a5 b5 2p a5 2p b112233445540.4540.2450.7550.7033.0032.971. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh Timeab5 a5 b5 2p a5 2p b30609012015025.35120.39117.44117.6099.3899.931. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution Timeab5 a5 b5 2p a5 2p b9018027036045040.48363.74428.66427.71205.46203.651. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -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: Mount St. Helensab5 a5 b5 2p a5 2p b510152025SE +/- 0.038048290, N = 311.67841461611.75332146018.86219907019.3555530929.6094538689.5947693501. (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: Layered Halfspaceab5 a5 b5 2p a5 2p b1122334455SE +/- 0.29, N = 330.5230.1249.1448.7425.2225.471. (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: Tomographic Modelab5 a5 b5 2p a5 2p b510152025SE +/- 0.15, N = 313.8613.5319.0919.6311.2211.801. (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: Homogeneous Halfspaceab5 a5 b5 2p a5 2p b612182430SE +/- 0.20, N = 317.2116.8224.9925.0914.4914.421. (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 Halfspaceab5 a5 b5 2p a5 2p b1020304050SE +/- 0.13, N = 328.0827.4745.7144.3323.9423.271. (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

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptab5 a5 b5 2p a5 2p b30K60K90K120K150KSE +/- 99.80, N = 3862309127660192601521185021175421. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKab5 a5 b5 2p a5 2p b60K120K180K240K300KSE +/- 297.59, N = 32013882029571308481310722594132584571. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: Blowfishab5 a5 b5 2p a5 2p b30K60K90K120K150KSE +/- 185.66, N = 3864608736060325603451185791177711. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: HMAC-SHA512ab5 a5 b5 2p a5 2p b30M60M90M120M150MSE +/- 266743.32, N = 3136796000135165000960590009492400079002000732600001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: MD5ab5 a5 b5 2p a5 2p b1.5M3M4.5M6M7.5MSE +/- 1000.00, N = 35534000554300036210003605000684500066830001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Crowna5 a5 b5 2p a5 2p b20406080100SE +/- 0.05, N = 369.1143.9543.9881.4581.09MIN: 68.18 / MAX: 71.75MIN: 43.49 / MAX: 44.42MIN: 43.29 / MAX: 44.67MIN: 80.49 / MAX: 83.06MIN: 80.03 / MAX: 82.56

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Crownab5 a5 b5 2p a5 2p b1632486480SE +/- 0.11, N = 363.3763.3640.2440.1273.3373.26MIN: 62.18 / MAX: 66.58MIN: 62.44 / MAX: 66.52MIN: 39.64 / MAX: 40.95MIN: 39.64 / MAX: 40.56MIN: 71.99 / MAX: 75.06MIN: 72.13 / MAX: 74.82

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragona5 a5 b5 2p a5 2p b20406080100SE +/- 0.14, N = 378.4848.5248.5176.8176.63MIN: 77.64 / MAX: 80.46MIN: 48.32 / MAX: 48.91MIN: 48.29 / MAX: 48.79MIN: 76.07 / MAX: 77.73MIN: 75.97 / MAX: 78.17

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragon Obja5 a5 b5 2p a5 2p b1632486480SE +/- 0.08, N = 370.5243.9644.1968.6968.70MIN: 69.67 / MAX: 71.94MIN: 43.73 / MAX: 44.3MIN: 43.94 / MAX: 44.51MIN: 68.03 / MAX: 70.15MIN: 67.96 / MAX: 69.64

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragonab5 a5 b5 2p a5 2p b1632486480SE +/- 0.01, N = 373.8473.8344.9145.1173.9673.78MIN: 73.31 / MAX: 75.9MIN: 73.34 / MAX: 74.66MIN: 44.68 / MAX: 45.26MIN: 44.88 / MAX: 45.48MIN: 73.12 / MAX: 75.27MIN: 72.91 / MAX: 74.82

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragon Objab5 a5 b5 2p a5 2p b1428425670SE +/- 0.03, N = 364.5164.6439.1939.2264.4164.04MIN: 63.96 / MAX: 66.18MIN: 64.13 / MAX: 65.46MIN: 38.97 / MAX: 39.59MIN: 39 / MAX: 39.63MIN: 63.78 / MAX: 65.49MIN: 63.29 / MAX: 64.92

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 4 - Input: Bosphorus 4Kab5 a5 b5 2p a5 2p b1.09422.18843.28264.37685.471SE +/- 0.021, N = 34.8634.8264.7434.7604.7844.8421. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 8 - Input: Bosphorus 4Kab5 a5 b5 2p a5 2p b1632486480SE +/- 0.56, N = 1273.4467.5565.3470.8662.8469.541. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 12 - Input: Bosphorus 4Kab5 a5 b5 2p a5 2p b50100150200250SE +/- 0.73, N = 3222.84214.93220.81226.73169.11176.111. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 13 - Input: Bosphorus 4Kab5 a5 b5 2p a5 2p b4080120160200SE +/- 0.70, N = 3195.92198.14199.69196.06169.66172.571. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 4 - Input: Bosphorus 1080pab5 a5 b5 2p a5 2p b3691215SE +/- 0.02, N = 310.3010.2310.7610.8310.4110.501. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 8 - Input: Bosphorus 1080pab5 a5 b5 2p a5 2p b20406080100SE +/- 1.23, N = 5109.98109.71107.38108.36107.10104.171. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 12 - Input: Bosphorus 1080pab5 a5 b5 2p a5 2p b140280420560700SE +/- 2.97, N = 3604.84601.98629.30622.73540.73565.061. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 13 - Input: Bosphorus 1080pab5 a5 b5 2p a5 2p b120240360480600SE +/- 5.77, N = 3552.24549.83571.08560.57525.15546.031. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 1.8Video Input: Bosphorus 4K - Video Preset: Fastab5 a5 b5 2p a5 2p b246810SE +/- 0.010, N = 36.2866.1286.4066.3905.5485.7681. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 4K - Video Preset: Fasterab5 a5 b5 2p a5 2p b3691215SE +/- 0.022, N = 311.36711.36411.96112.0209.5749.9061. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 1080p - Video Preset: Fastab5 a5 b5 2p a5 2p b48121620SE +/- 0.10, N = 316.5516.3716.8517.2514.8115.041. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 1080p - Video Preset: Fasterab5 a5 b5 2p a5 2p b714212835SE +/- 0.03, N = 330.0130.1131.8431.8024.4924.271. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point Rateab5 a5 b5 2p a5 2p b714212835SE +/- 0.25, N = 1529.3829.0517.8718.6431.3431.761. (CC) gcc options: -O3 -march=native -fopenmp

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 1.3.1Benchmark: vklBenchmark ISPCab5 a5 b5 2p a5 2p b100200300400500SE +/- 0.33, N = 3470469340339452452MIN: 84 / MAX: 2616MIN: 84 / MAX: 2565MIN: 55 / MAX: 2309MIN: 54 / MAX: 2307MIN: 98 / MAX: 1875MIN: 99 / MAX: 2013

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 6.0Time To Compileab5 a5 b5 2p a5 2p b510152025SE +/- 0.03, N = 316.9317.0420.3820.6415.4615.34

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: Ninjaab5 a5 b5 2p a5 2p b50100150200250SE +/- 0.08, N = 3165.71164.45230.38231.09138.72138.57

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix Makefilesab5 a5 b5 2p a5 2p b60120180240300SE +/- 0.96, N = 3246.96248.48290.54297.22219.40221.79

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Liveab5 a5 b5 2p a5 2p b1224364860SE +/- 0.13, N = 347.7447.2145.7145.7954.5847.071. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Liveab5 a5 b5 2p a5 2p b20406080100SE +/- 0.29, N = 3105.78106.98110.49110.2992.52107.291. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Uploadab5 a5 b5 2p a5 2p b306090120150SE +/- 0.05, N = 3116.93116.81110.01110.14112.82114.261. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Uploadab5 a5 b5 2p a5 2p b510152025SE +/- 0.01, N = 321.5921.6222.9522.9322.3822.101. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Platformab5 a5 2p a5 2p b4080120160200SE +/- 0.08, N = 3173.23172.57162.19170.94173.561. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Platformab5 a5 2p a5 2p b1122334455SE +/- 0.02, N = 343.7343.9046.7044.3143.641. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On Demandab5 a5 2p a5 2p b4080120160200SE +/- 0.15, N = 3173.47172.53161.54168.46173.051. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On Demandab5 a5 2p a5 2p b1122334455SE +/- 0.04, N = 343.6743.9046.8944.9743.771. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 2023Implementation: MPI CPU - Input: water_GMX50_bareab5 a5 2p a5 2p b246810SE +/- 0.026, N = 37.2907.2995.0228.2858.2221. (CXX) g++ options: -O3

Google Draco

Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: Lionab5 a5 2p a5 2p b10002000300040005000SE +/- 7.02, N = 3486748854760473448181. (CXX) g++ options: -O3

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: Church Facadeab5 a5 2p a5 2p b13002600390052006500SE +/- 3.21, N = 3579358335718568257291. (CXX) g++ options: -O3

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 3.5Blend File: BMW27 - Compute: CPU-Onlyab5 a5 2p a5 2p b1020304050SE +/- 0.03, N = 327.6127.6042.5222.5922.51

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Classroom - Compute: CPU-Onlyab5 a5 2p a5 2p b306090120150SE +/- 0.17, N = 372.4572.02113.3158.5558.57

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Fishy Cat - Compute: CPU-Onlyab5 a5 2p a5 2p b1224364860SE +/- 0.04, N = 334.7734.6152.6827.9627.90

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Barbershop - Compute: CPU-Onlyab5 a5 2p a5 2p b90180270360450SE +/- 0.09, N = 3260.83259.87408.79213.60213.46

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Pabellon Barcelona - Compute: CPU-Onlyab5 a5 2p a5 2p b306090120150SE +/- 0.10, N = 388.7688.73136.5871.6471.73

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLASb5 a5 2p a5 2p b2K4K6K8K10K55541419828479911. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: Eigenb5 a5 2p a5 2p b2K4K6K8K10K51421238828678161. (CXX) g++ options: -flto -pthread

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamicsb5 a5 2p a5 2p b4812162011.3412.0915.6715.511. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

Pennant

Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigb5 a5 2p a5 2p b481216209.56361014.0011107.6563697.7933251. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigb5 a5 2p a5 2p b2468105.1040787.9740224.2947314.4180121. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Directionb5 a5 2p a5 2p b1.14022.28043.42064.56085.7014.438041215.067564012.486542942.483869081. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Directionb5 a5 2p a5 2p b51015202517.2119.6310.6210.761. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3b5 a5 2p a5 2p b9K18K27K36K45K22257.1420920.4942030.0442551.901. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Compression Speedb5 a5 2p a5 2p b60012001800240030002819.02856.62783.72775.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Decompression Speedb5 a5 2p a5 2p b300600900120015001277.31326.51306.71309.51. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression Speedb5 a5 2p a5 2p b2004006008001000988.51067.81024.01013.41. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression Speedb5 a5 2p a5 2p b300600900120015001390.01438.81437.51441.11. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression Speedb5 a5 2p a5 2p b60120180240300270.8289.1283.6282.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression Speedb5 a5 2p a5 2p b300600900120015001445.91478.11482.71498.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression Speedb5 a5 2p a5 2p b4812162017.618.218.018.01. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression Speedb5 a5 2p a5 2p b300600900120015001276.81304.21315.61312.01. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Compression Speedb5 a5 2p a5 2p b2004006008001000752.6854.2808.5741.51. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Decompression Speedb5 a5 2p a5 2p b300600900120015001300.81361.51332.31336.51. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression Speedb5 a5 2p a5 2p b2004006008001000744.5792.1702.8702.21. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Decompression Speedb5 a5 2p a5 2p b300600900120015001434.21460.11454.71445.11. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression Speedb5 a5 2p a5 2p b36912159.309.549.579.501. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression Speedb5 a5 2p a5 2p b300600900120015001190.81229.11222.91227.11. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

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: Compression Ratingb5 a5 2p a5 2p b90K180K270K360K450K3969282719184037393968441. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Ratingb5 a5 2p a5 2p b100K200K300K400K500K4112132442204539964407401. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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 3.1Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUb5 a5 2p a5 2p b0.6491.2981.9472.5963.2451.261071.379962.678012.88451MIN: 1.06MIN: 1.25MIN: 1.89MIN: 1.791. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUb5 a5 2p a5 2p b0.28040.56080.84121.12161.4021.2461800.6259300.9118060.917226MIN: 1.13MIN: 0.57MIN: 0.78MIN: 0.771. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUb5 a5 2p a5 2p b0.2580.5160.7741.0321.290.8276221.1465600.6743360.669349MIN: 0.78MIN: 1.09MIN: 0.62MIN: 0.61. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUb5 a5 2p a5 2p b36912156.921454.4956510.5221010.36850MIN: 6.32MIN: 3.9MIN: 8.88MIN: 8.541. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUb5 a5 2p a5 2p b0.70311.40622.10932.81243.51553.124872.762341.851671.89859MIN: 2.06MIN: 2.59MIN: 1.61MIN: 1.581. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUb5 a5 2p a5 2p b300600900120015001183.631182.611390.361385.33MIN: 1162.73MIN: 1161.83MIN: 1287.43MIN: 1314.761. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUb5 a5 2p a5 2p b30060090012001500749.62679.651212.841305.96MIN: 731.75MIN: 664.64MIN: 1070.52MIN: 1060.611. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesisb5 a5 2p a5 2p b71421283528.1627.8327.8728.141. (CC) gcc options: -O2 -std=c99

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, First Run / Cold Cacheb5 a5 2p a5 2p b100200300400500428.51437.20445.18440.56MIN: 34.8 / MAX: 5454.55MIN: 24.3 / MAX: 6000MIN: 41.18 / MAX: 3157.89MIN: 40.98 / MAX: 4000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second Runb5 a5 2p a5 2p b100200300400500439.07457.81463.68467.46MIN: 35.82 / MAX: 6000MIN: 24.13 / MAX: 5454.55MIN: 41.64 / MAX: 4615.38MIN: 40.6 / MAX: 4615.38

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third Runb5 a5 2p a5 2p b100200300400500437.35456.30461.53448.03MIN: 35.59 / MAX: 5454.55MIN: 24.65 / MAX: 5454.55MIN: 41.49 / MAX: 3000MIN: 41.38 / MAX: 2608.7

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - Griddingb5 a5 2p a5 2p b170034005100680085005493.356599.687738.597176.411. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - Degriddingb5 a5 2p a5 2p b3K6K9K12K15K8308.339611.0512506.7011068.801. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - Degriddingb5 a5 2p a5 2p b9K18K27K36K45K32799.520991.741983.341983.31. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - Griddingb5 a5 2p a5 2p b11K22K33K44K55K36827.524990.149980.151199.11. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - Griddingb5 a5 2p a5 2p b4K8K12K16K20K20481.217750.412102.512678.91. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - Degriddingb5 a5 2p a5 2p b4K8K12K16K20K19018.319018.316641.015662.11. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPb5 a5 2p a5 2p b2004006008001000806.45869.57436.68434.781. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetb5 a5 2p a5 2p b30609012015017.8413.7077.77115.68MIN: 17.55 / MAX: 25.78MIN: 13.55 / MAX: 14.38MIN: 67.11 / MAX: 156MIN: 64.45 / MAX: 159.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2b5 a5 2p a5 2p b91827364511.306.4627.7038.67MIN: 9.74 / MAX: 14.96MIN: 6.35 / MAX: 8.73MIN: 23.18 / MAX: 43.54MIN: 28.02 / MAX: 119.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3b5 a5 2p a5 2p b71421283510.296.1921.2628.88MIN: 9.51 / MAX: 11.93MIN: 6.05 / MAX: 6.93MIN: 20.79 / MAX: 28.25MIN: 23.66 / MAX: 168.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2b5 a5 2p a5 2p b91827364515.607.7333.2737.89MIN: 12.95 / MAX: 19.73MIN: 7.58 / MAX: 9.71MIN: 29.37 / MAX: 96.69MIN: 34.63 / MAX: 113.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetb5 a5 2p a5 2p b112233445511.716.0838.4949.46MIN: 9.43 / MAX: 20.81MIN: 6.01 / MAX: 6.54MIN: 25.51 / MAX: 75.24MIN: 36.42 / MAX: 176.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0b5 a5 2p a5 2p b142842567015.449.0335.1260.79MIN: 13.63 / MAX: 18.67MIN: 8.93 / MAX: 11.07MIN: 33.83 / MAX: 41.96MIN: 47.67 / MAX: 141.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceb5 a5 2p a5 2p b6121824308.123.8214.6524.56MIN: 6.94 / MAX: 11.1MIN: 3.45 / MAX: 79.74MIN: 11.34 / MAX: 73.36MIN: 20.64 / MAX: 91.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetb5 a5 2p a5 2p b30609012015019.0914.1193.29112.43MIN: 18.77 / MAX: 25.76MIN: 13.96 / MAX: 17.22MIN: 52.46 / MAX: 137.19MIN: 29.99 / MAX: 148.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16b5 a5 2p a5 2p b81624324024.0421.0833.5532.81MIN: 23.49 / MAX: 30.66MIN: 20.78 / MAX: 24.35MIN: 28.65 / MAX: 42.53MIN: 30.06 / MAX: 44.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18b5 a5 2p a5 2p b122436486010.898.1238.9451.80MIN: 10.68 / MAX: 11.74MIN: 8.01 / MAX: 10.04MIN: 16.05 / MAX: 124.98MIN: 16.09 / MAX: 93.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetb5 a5 2p a5 2p b7142128357.135.4818.6028.55MIN: 6.97 / MAX: 7.76MIN: 5.36 / MAX: 6.34MIN: 17.59 / MAX: 34.64MIN: 12.6 / MAX: 62.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50b5 a5 2p a5 2p b30609012015019.5814.8080.81120.27MIN: 19.15 / MAX: 44.79MIN: 14.6 / MAX: 16.84MIN: 62.51 / MAX: 112.38MIN: 42.99 / MAX: 192.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyb5 a5 2p a5 2p b102030405023.9219.9838.1045.89MIN: 23.17 / MAX: 30.48MIN: 19.53 / MAX: 23.19MIN: 29.08 / MAX: 101.85MIN: 34.08 / MAX: 64.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdb5 a5 2p a5 2p b91827364519.3214.8537.1735.81MIN: 18.86 / MAX: 22.39MIN: 14.49 / MAX: 25.32MIN: 30.62 / MAX: 51.54MIN: 29.14 / MAX: 58.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mb5 a5 2p a5 2p b30609012015053.5226.34100.65128.35MIN: 50.93 / MAX: 71.06MIN: 25.99 / MAX: 28.26MIN: 97.81 / MAX: 136.12MIN: 111.43 / MAX: 240.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerb5 a5 2p a5 2p b306090120150133.39126.26144.31145.49MIN: 129.7 / MAX: 252.77MIN: 125.42 / MAX: 132.03MIN: 140.5 / MAX: 157.63MIN: 141.27 / MAX: 245.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetb5 a5 2p a5 2p b122436486019.089.2540.4553.25MIN: 13.65 / MAX: 21.7MIN: 9.12 / MAX: 9.81MIN: 27.4 / MAX: 462.07MIN: 30.07 / MAX: 66.771. (CXX) g++ options: -O3 -rdynamic -lgomp -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 2022.3Model: Face Detection FP16 - Device: CPUb5 a5 2p a5 2p b4812162012.168.2315.8615.761. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUb5 a5 2p a5 2p b60012001800240030002608.341935.602013.522020.21MIN: 2421.38 / MAX: 2754.89MIN: 1852.05 / MAX: 1974.19MIN: 1890.96 / MAX: 2802.82MIN: 1823.96 / MAX: 3111.511. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUb5 a5 2p a5 2p b36912158.055.4810.5410.631. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUb5 a5 2p a5 2p b80016002400320040003911.972881.042975.152948.39MIN: 3337.4 / MAX: 4451.63MIN: 1536.21 / MAX: 3142.35MIN: 2241.37 / MAX: 3616.82MIN: 1547.54 / MAX: 3537.31. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUb5 a5 2p a5 2p b36912158.045.4710.6410.641. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUb5 a5 2p a5 2p b80016002400320040003927.002886.122946.972952.76MIN: 3402.58 / MAX: 4474.47MIN: 1694.68 / MAX: 3104.67MIN: 2004.15 / MAX: 3534.38MIN: 2193.59 / MAX: 3652.321. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUb5 a5 2p a5 2p b4008001200160020001205.11841.491632.811623.831. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUb5 a5 2p a5 2p b61218243026.5419.0019.5819.69MIN: 14.19 / MAX: 63.19MIN: 13.62 / MAX: 32.75MIN: 11.25 / MAX: 73.87MIN: 11.03 / MAX: 75.831. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUb5 a5 2p a5 2p b81624324027.0317.9234.8334.911. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUb5 a5 2p a5 2p b300600900120015001175.01886.41914.24912.42MIN: 982.69 / MAX: 1202.21MIN: 851.09 / MAX: 900.44MIN: 797.83 / MAX: 966.84MIN: 878.63 / MAX: 988.741. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUb5 a5 2p a5 2p b50010001500200025001889.051244.862504.362498.741. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUb5 a5 2p a5 2p b4812162016.9312.8412.7612.79MIN: 10.73 / MAX: 31.24MIN: 6.96 / MAX: 23.28MIN: 7.65 / MAX: 43.58MIN: 7.68 / MAX: 43.181. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUb5 a5 2p a5 2p b300600900120015001198.45822.191594.141592.711. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUb5 a5 2p a5 2p b61218243026.6819.4520.0620.07MIN: 15.32 / MAX: 46.54MIN: 11.98 / MAX: 28.4MIN: 11.41 / MAX: 47.48MIN: 13.26 / MAX: 75.831. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUb5 a5 2p a5 2p b4080120160200138.8492.61175.48176.761. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUb5 a5 2p a5 2p b50100150200250230.27172.53182.10180.91MIN: 166.99 / MAX: 311.89MIN: 81.35 / MAX: 207.95MIN: 117.14 / MAX: 548.18MIN: 124.49 / MAX: 288.011. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUb5 a5 2p a5 2p b80016002400320040002674.291767.133501.693504.151. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUb5 a5 2p a5 2p b61218243023.9218.1018.2618.25MIN: 15.02 / MAX: 35.74MIN: 9.23 / MAX: 28.11MIN: 10.53 / MAX: 60.19MIN: 8.84 / MAX: 40.731. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUb5 a5 2p a5 2p b50010001500200025001888.201252.052523.572524.051. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUb5 a5 2p a5 2p b4812162016.9312.7712.6612.66MIN: 13.88 / MAX: 33.11MIN: 7.39 / MAX: 23.62MIN: 7.58 / MAX: 53.45MIN: 8.38 / MAX: 48.881. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUb5 a5 2p a5 2p b8K16K24K32K40K35737.8225209.6239455.8638800.341. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUb5 a5 2p a5 2p b0.39150.7831.17451.5661.95751.741.261.371.40MIN: 0.84 / MAX: 14.57MIN: 0.69 / MAX: 12.96MIN: 0.67 / MAX: 28.86MIN: 0.68 / MAX: 42.11. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUb5 a5 2p b9K18K27K36K45K38091.4627340.9640352.481. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUb5 a5 2p b0.36450.7291.09351.4581.82251.621.161.33MIN: 0.69 / MAX: 13.34MIN: 0.66 / MAX: 12.23MIN: 0.64 / MAX: 26.341. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

PETSc

PETSc, the Portable, Extensible Toolkit for Scientific Computation, is for the scalable (parallel) solution of scientific applications modeled by partial differential equations. This test profile runs the PETSc "make streams" benchmark and records the throughput rate when all available cores are utilized for the MPI Streams build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterPETSc 3.19Test: Streamsb5 a5 2p b16K32K48K64K80K56185.7531992.6174130.181. (CC) gcc options: -fPIC -O3 -O2 -lpthread -ludev -lpciaccess -lm

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Coreb5 a5 2p b50K100K150K200K250K77061683432364451. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Graph APIb5 a5 2p b90K180K270K360K450K2358102069704197021. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Stitchingb5 a5 2p b60K120K180K240K300K2011601840322874921. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Object Detectionb5 a5 2p b20K40K60K80K100K3191027739885531. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: DNN - Deep Neural Networkb5 a5 2p b20K40K60K80K100K3975639997871331. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

143 Results Shown

QuantLib
OpenFOAM:
  drivaerFastback, Small Mesh Size - Mesh Time
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Mesh Time
  drivaerFastback, Medium Mesh Size - Execution Time
SPECFEM3D:
  Mount St. Helens
  Layered Halfspace
  Tomographic Model
  Homogeneous Halfspace
  Water-layered Halfspace
John The Ripper:
  bcrypt
  WPA PSK
  Blowfish
  HMAC-SHA512
  MD5
Embree:
  Pathtracer - Crown
  Pathtracer ISPC - Crown
  Pathtracer - Asian Dragon
  Pathtracer - Asian Dragon Obj
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
SVT-AV1:
  Preset 4 - Bosphorus 4K
  Preset 8 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
  Preset 13 - Bosphorus 4K
  Preset 4 - Bosphorus 1080p
  Preset 8 - Bosphorus 1080p
  Preset 12 - Bosphorus 1080p
  Preset 13 - Bosphorus 1080p
VVenC:
  Bosphorus 4K - Fast
  Bosphorus 4K - Faster
  Bosphorus 1080p - Fast
  Bosphorus 1080p - Faster
ACES DGEMM
OpenVKL
Timed FFmpeg Compilation
Timed LLVM Compilation:
  Ninja
  Unix Makefiles
FFmpeg:
  libx265 - Live:
    Seconds
    FPS
  libx265 - Upload:
    Seconds
    FPS
  libx265 - Platform:
    Seconds
    FPS
  libx265 - Video On Demand:
    Seconds
    FPS
GROMACS
Google Draco:
  Lion
  Church Facade
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
  Pabellon Barcelona - CPU-Only
LeelaChessZero:
  BLAS
  Eigen
CloverLeaf
Pennant:
  sedovbig
  leblancbig
Xcompact3d Incompact3d:
  input.i3d 129 Cells Per Direction
  input.i3d 193 Cells Per Direction
LULESH
Zstd Compression:
  3 - Compression Speed
  3 - Decompression Speed
  8 - Compression Speed
  8 - Decompression Speed
  12 - Compression Speed
  12 - Decompression Speed
  19 - Compression Speed
  19 - Decompression Speed
  3, Long Mode - Compression Speed
  3, Long Mode - Decompression Speed
  8, Long Mode - Compression Speed
  8, Long Mode - Decompression Speed
  19, Long Mode - Compression Speed
  19, Long Mode - Decompression Speed
7-Zip Compression:
  Compression Rating
  Decompression Rating
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 3D - f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
eSpeak-NG Speech Engine
ClickHouse:
  100M Rows Hits Dataset, First Run / Cold Cache
  100M Rows Hits Dataset, Second Run
  100M Rows Hits Dataset, Third Run
ASKAP:
  tConvolve MT - Gridding
  tConvolve MT - Degridding
  tConvolve MPI - Degridding
  tConvolve MPI - Gridding
  tConvolve OpenMP - Gridding
  tConvolve OpenMP - Degridding
  Hogbom Clean OpenMP
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
  CPU - vision_transformer
  CPU - FastestDet
OpenVINO:
  Face Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP32 - CPU:
    FPS
    ms
  Vehicle Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
PETSc
OpenCV:
  Core
  Graph API
  Stitching
  Object Detection
  DNN - Deep Neural Network