3300X Ne

AMD Ryzen 3 3300X 4-Core testing with a MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS) and AMD FirePro V3800 512MB on Ubuntu 20.04 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 2101187-HA-3300XNE8930
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3300X NeProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution1234AMD Ryzen 3 3300X 4-Core @ 3.80GHz (4 Cores / 8 Threads)MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS)AMD Starship/Matisse8GB256GB INTEL SSDPEKKW256G7AMD FirePro V3800 512MBAMD Redwood HDMI AudioVA2431Realtek RTL8111/8168/8411Ubuntu 20.045.9.0-rc5-14sep-patch (x86_64) 20200914GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.83.3 Mesa 20.0.8 (LLVM 10.0.0)GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021 Python Details- Python 3.8.5Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

1234Result OverviewPhoronix Test Suite100%101%102%104%105%KripkeLAMMPS Molecular Dynamics SimulatorCloverLeafLULESHAlgebraic Multi-Grid BenchmarkTimed Godot Game Engine Compilationrav1eOpenFOAMONNX RuntimeGoogle SynthMarkdav1dTNNMobile Neural NetworkCP2K Molecular Dynamics

3300X Nekripke: lammps: Rhodopsin Proteinonnx: fcn-resnet101-11 - OpenMP CPUcloverleaf: Lagrangian-Eulerian Hydrodynamicsrav1e: 5openfoam: Motorbike 60Mmnn: inception-v3dav1d: Summer Nature 1080pmnn: SqueezeNetV1.0lulesh: mnn: mobilenet-v1-1.0rav1e: 6dav1d: Summer Nature 4Kamg: build-godot: Time To Compilerav1e: 10rav1e: 1mnn: MobileNetV2_224dav1d: Chimera 1080ponnx: super-resolution-10 - OpenMP CPUtnn: CPU - SqueezeNet v1.1synthmark: VoiceMark_100tnn: CPU - MobileNet v2openfoam: Motorbike 30Mmnn: resnet-v2-50cp2k: Fayalite-FIST Dataonnx: yolov4 - OpenMP CPUdav1d: Chimera 1080p 10-bitonnx: bertsquad-10 - OpenMP CPUonnx: shufflenet-v2-10 - OpenMP CPU1234602490833.12844174.891.2151305.0933.273377.054.6341588.25783.4841.605114.04232054367239.1823.5470.4232.810390.153309244.683671.281262.479300.6424.594996.62227786.9445716973596235973.07744178.091.2281288.5633.731380.194.6801577.92483.4521.610113.60233224533237.7003.5710.4212.822388.223307244.489673.690262.639299.2924.703995.34527686.6945616949588667473.03244178.301.2181292.4133.306377.964.6331574.43733.4741.608113.76233369867237.3793.5560.4232.818389.463328244.606669.983261.316299.5524.670997.56327786.9545616953575137773.15043174.471.2061307.3033.275375.224.6591572.38623.4831.596113.06234006167237.6433.5450.4242.828387.673321245.857671.256261.881299.7124.643999.1127686.8045616955OpenBenchmarking.org

Kripke

Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4432113M26M39M52M65MSE +/- 360049.67, N = 3SE +/- 125423.65, N = 3SE +/- 321232.30, N = 3SE +/- 54481.57, N = 3575137775886674759623597602490831. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4432110M20M30M40M50MMin: 56898450 / Avg: 57513776.67 / Max: 58145380Min: 58686640 / Avg: 58866746.67 / Max: 59108010Min: 59035250 / Avg: 59623596.67 / Max: 60141280Min: 60148740 / Avg: 60249083.33 / Max: 603360401. (CXX) g++ options: -O3 -fopenmp

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein32140.70881.41762.12642.83523.544SE +/- 0.044, N = 3SE +/- 0.038, N = 3SE +/- 0.030, N = 15SE +/- 0.033, N = 153.0323.0773.1283.1501. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein3214246810Min: 2.95 / Avg: 3.03 / Max: 3.1Min: 3 / Avg: 3.08 / Max: 3.12Min: 2.91 / Avg: 3.13 / Max: 3.31Min: 2.84 / Avg: 3.15 / Max: 3.331. (CXX) g++ options: -O3 -pthread -lm

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPU41231020304050SE +/- 0.17, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3434444441. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPU4123918273645Min: 43 / Avg: 43.33 / Max: 43.5Min: 43.5 / Avg: 43.5 / Max: 43.5Min: 43.5 / Avg: 43.5 / Max: 43.5Min: 43.5 / Avg: 43.5 / Max: 43.51. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

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 Hydrodynamics32144080120160200SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 3178.30178.09174.89174.471. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics3214306090120150Min: 178.25 / Avg: 178.3 / Max: 178.37Min: 177.9 / Avg: 178.09 / Max: 178.26Min: 174.77 / Avg: 174.89 / Max: 175Min: 174.12 / Avg: 174.47 / Max: 174.651. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 541320.27630.55260.82891.10521.3815SE +/- 0.002, N = 3SE +/- 0.008, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 31.2061.2151.2181.228
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 54132246810Min: 1.2 / Avg: 1.21 / Max: 1.21Min: 1.2 / Avg: 1.22 / Max: 1.23Min: 1.21 / Avg: 1.22 / Max: 1.22Min: 1.23 / Avg: 1.23 / Max: 1.23

OpenFOAM

OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60M413230060090012001500SE +/- 5.42, N = 3SE +/- 1.47, N = 3SE +/- 2.99, N = 3SE +/- 2.08, N = 31307.301305.091292.411288.561. (CXX) g++ options: -std=c++11 -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 8Input: Motorbike 60M41322004006008001000Min: 1300.69 / Avg: 1307.3 / Max: 1318.05Min: 1303.56 / Avg: 1305.09 / Max: 1308.03Min: 1287.43 / Avg: 1292.41 / Max: 1297.78Min: 1286.47 / Avg: 1288.56 / Max: 1292.721. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: inception-v32341816243240SE +/- 0.33, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 333.7333.3133.2833.27MIN: 32.75 / MAX: 105.49MIN: 32.55 / MAX: 96.58MIN: 32.89 / MAX: 97.51MIN: 32.89 / MAX: 96.611. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: inception-v32341714212835Min: 33.37 / Avg: 33.73 / Max: 34.38Min: 33.22 / Avg: 33.31 / Max: 33.39Min: 33.19 / Avg: 33.27 / Max: 33.32Min: 33.18 / Avg: 33.27 / Max: 33.331. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p413280160240320400SE +/- 1.43, N = 3SE +/- 2.03, N = 3SE +/- 2.65, N = 3SE +/- 1.40, N = 3375.22377.05377.96380.19MIN: 341.26 / MAX: 412.66MIN: 323.75 / MAX: 415.69MIN: 331.67 / MAX: 426.13MIN: 350.15 / MAX: 420.761. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p413270140210280350Min: 373.19 / Avg: 375.22 / Max: 377.97Min: 374.83 / Avg: 377.05 / Max: 381.1Min: 374.71 / Avg: 377.96 / Max: 383.21Min: 377.49 / Avg: 380.19 / Max: 382.181. (CC) gcc options: -pthread

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.024131.0532.1063.1594.2125.265SE +/- 0.018, N = 3SE +/- 0.019, N = 3SE +/- 0.023, N = 3SE +/- 0.019, N = 34.6804.6594.6344.633MIN: 4.53 / MAX: 52.51MIN: 4.55 / MAX: 67.89MIN: 4.53 / MAX: 67.7MIN: 4.53 / MAX: 52.471. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.02413246810Min: 4.64 / Avg: 4.68 / Max: 4.7Min: 4.62 / Avg: 4.66 / Max: 4.69Min: 4.59 / Avg: 4.63 / Max: 4.66Min: 4.6 / Avg: 4.63 / Max: 4.661. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

LULESH

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

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3432130060090012001500SE +/- 1.33, N = 3SE +/- 0.37, N = 3SE +/- 0.61, N = 3SE +/- 1.44, N = 31572.391574.441577.921588.261. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3432130060090012001500Min: 1570.13 / Avg: 1572.39 / Max: 1574.73Min: 1574.01 / Avg: 1574.44 / Max: 1575.17Min: 1576.86 / Avg: 1577.92 / Max: 1578.96Min: 1585.64 / Avg: 1588.26 / Max: 1590.631. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.014320.78391.56782.35173.13563.9195SE +/- 0.022, N = 3SE +/- 0.023, N = 3SE +/- 0.022, N = 3SE +/- 0.007, N = 33.4843.4833.4743.452MIN: 3.41 / MAX: 66.78MIN: 3.4 / MAX: 66.97MIN: 3.41 / MAX: 51.38MIN: 3.41 / MAX: 6.271. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.01432246810Min: 3.44 / Avg: 3.48 / Max: 3.51Min: 3.44 / Avg: 3.48 / Max: 3.51Min: 3.44 / Avg: 3.47 / Max: 3.51Min: 3.44 / Avg: 3.45 / Max: 3.461. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 641320.36230.72461.08691.44921.8115SE +/- 0.011, N = 3SE +/- 0.010, N = 3SE +/- 0.010, N = 3SE +/- 0.003, N = 31.5961.6051.6081.610
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 64132246810Min: 1.58 / Avg: 1.6 / Max: 1.61Min: 1.59 / Avg: 1.6 / Max: 1.62Min: 1.59 / Avg: 1.61 / Max: 1.63Min: 1.61 / Avg: 1.61 / Max: 1.62

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K4231306090120150SE +/- 0.24, N = 3SE +/- 0.25, N = 3SE +/- 0.23, N = 3SE +/- 0.27, N = 3113.06113.60113.76114.04MIN: 105.22 / MAX: 130.73MIN: 105.69 / MAX: 132.42MIN: 105.75 / MAX: 131.04MIN: 106.14 / MAX: 132.861. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K423120406080100Min: 112.59 / Avg: 113.06 / Max: 113.41Min: 113.09 / Avg: 113.6 / Max: 113.86Min: 113.52 / Avg: 113.76 / Max: 114.22Min: 113.7 / Avg: 114.04 / Max: 114.581. (CC) gcc options: -pthread

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2123450M100M150M200M250MSE +/- 945158.16, N = 3SE +/- 841638.93, N = 3SE +/- 450507.66, N = 3SE +/- 524357.88, N = 32320543672332245332333698672340061671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2123440M80M120M160M200MMin: 230370400 / Avg: 232054366.67 / Max: 233640100Min: 231634400 / Avg: 233224533.33 / Max: 234497800Min: 232486100 / Avg: 233369866.67 / Max: 233963700Min: 232963700 / Avg: 234006166.67 / Max: 2346264001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

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 3.2.3Time To Compile124350100150200250SE +/- 1.76, N = 3SE +/- 0.30, N = 3SE +/- 0.34, N = 3SE +/- 0.36, N = 3239.18237.70237.64237.38
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile12434080120160200Min: 236.6 / Avg: 239.18 / Max: 242.56Min: 237.34 / Avg: 237.7 / Max: 238.3Min: 236.98 / Avg: 237.64 / Max: 238.14Min: 236.95 / Avg: 237.38 / Max: 238.1

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1041320.80351.6072.41053.2144.0175SE +/- 0.015, N = 3SE +/- 0.025, N = 3SE +/- 0.039, N = 3SE +/- 0.025, N = 33.5453.5473.5563.571
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 104132246810Min: 3.52 / Avg: 3.55 / Max: 3.56Min: 3.5 / Avg: 3.55 / Max: 3.59Min: 3.48 / Avg: 3.56 / Max: 3.6Min: 3.54 / Avg: 3.57 / Max: 3.62

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 121340.09540.19080.28620.38160.477SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 30.4210.4230.4230.424
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1213412345Min: 0.41 / Avg: 0.42 / Max: 0.43Min: 0.42 / Avg: 0.42 / Max: 0.43Min: 0.42 / Avg: 0.42 / Max: 0.42Min: 0.42 / Avg: 0.42 / Max: 0.43

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_22442310.63631.27261.90892.54523.1815SE +/- 0.003, N = 3SE +/- 0.008, N = 3SE +/- 0.002, N = 3SE +/- 0.011, N = 32.8282.8222.8182.810MIN: 2.8 / MAX: 3.55MIN: 2.79 / MAX: 2.88MIN: 2.79 / MAX: 5.63MIN: 2.77 / MAX: 5.251. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_2244231246810Min: 2.82 / Avg: 2.83 / Max: 2.83Min: 2.81 / Avg: 2.82 / Max: 2.83Min: 2.81 / Avg: 2.82 / Max: 2.82Min: 2.79 / Avg: 2.81 / Max: 2.831. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p423180160240320400SE +/- 1.19, N = 3SE +/- 1.39, N = 3SE +/- 0.57, N = 3SE +/- 1.31, N = 3387.67388.22389.46390.15MIN: 280.67 / MAX: 641.96MIN: 280.59 / MAX: 628.44MIN: 282.78 / MAX: 607.25MIN: 282.62 / MAX: 615.511. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p423170140210280350Min: 385.58 / Avg: 387.67 / Max: 389.7Min: 385.67 / Avg: 388.22 / Max: 390.44Min: 388.54 / Avg: 389.46 / Max: 390.5Min: 388.2 / Avg: 390.15 / Max: 392.631. (CC) gcc options: -pthread

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPU21437001400210028003500SE +/- 4.76, N = 3SE +/- 8.10, N = 3SE +/- 17.05, N = 3SE +/- 11.96, N = 333073309332133281. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPU21436001200180024003000Min: 3299 / Avg: 3307.33 / Max: 3315.5Min: 3294.5 / Avg: 3309 / Max: 3322.5Min: 3292 / Avg: 3320.67 / Max: 3351Min: 3314 / Avg: 3327.67 / Max: 3351.51. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1413250100150200250SE +/- 0.88, N = 3SE +/- 0.86, N = 3SE +/- 0.37, N = 3SE +/- 1.08, N = 3245.86244.68244.61244.49MIN: 243.14 / MAX: 255.9MIN: 241.74 / MAX: 254.56MIN: 242.09 / MAX: 255.9MIN: 241.35 / MAX: 247.341. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.141324080120160200Min: 244.98 / Avg: 245.86 / Max: 247.61Min: 243.47 / Avg: 244.68 / Max: 246.35Min: 244.2 / Avg: 244.61 / Max: 245.34Min: 243.15 / Avg: 244.49 / Max: 246.621. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Google SynthMark

SynthMark is a cross platform tool for benchmarking CPU performance under a variety of real-time audio workloads. It uses a polyphonic synthesizer model to provide standardized tests for latency, jitter and computational throughput. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_1003412150300450600750SE +/- 1.12, N = 3SE +/- 1.23, N = 3SE +/- 0.69, N = 3SE +/- 0.60, N = 3669.98671.26671.28673.691. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_1003412120240360480600Min: 668.03 / Avg: 669.98 / Max: 671.92Min: 669.43 / Avg: 671.26 / Max: 673.6Min: 670.08 / Avg: 671.28 / Max: 672.48Min: 672.58 / Avg: 673.69 / Max: 674.651. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2214360120180240300SE +/- 1.76, N = 3SE +/- 0.30, N = 3SE +/- 0.38, N = 3SE +/- 0.49, N = 3262.64262.48261.88261.32MIN: 256.83 / MAX: 304.89MIN: 259.11 / MAX: 293.3MIN: 258.61 / MAX: 296.68MIN: 258.09 / MAX: 302.531. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2214350100150200250Min: 259.77 / Avg: 262.64 / Max: 265.83Min: 261.9 / Avg: 262.48 / Max: 262.92Min: 261.38 / Avg: 261.88 / Max: 262.62Min: 260.36 / Avg: 261.32 / Max: 262.021. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenFOAM

OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30M143270140210280350SE +/- 0.28, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.31, N = 3300.64299.71299.55299.291. (CXX) g++ options: -std=c++11 -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 8Input: Motorbike 30M143250100150200250Min: 300.13 / Avg: 300.64 / Max: 301.09Min: 299.57 / Avg: 299.71 / Max: 299.95Min: 299.35 / Avg: 299.55 / Max: 299.8Min: 298.67 / Avg: 299.29 / Max: 299.611. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-502341612182430SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 324.7024.6724.6424.59MIN: 23.54 / MAX: 86.92MIN: 23.68 / MAX: 87.87MIN: 24.29 / MAX: 87.9MIN: 24.29 / MAX: 87.851. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-502341612182430Min: 24.61 / Avg: 24.7 / Max: 24.76Min: 24.54 / Avg: 24.67 / Max: 24.78Min: 24.51 / Avg: 24.64 / Max: 24.73Min: 24.58 / Avg: 24.59 / Max: 24.61. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

CP2K Molecular Dynamics

CP2K is an open-source molecular dynamics software package focused on quantum chemistry and solid-state physics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 8.1Fayalite-FIST Data43122004006008001000999.11997.56996.62995.35

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPU241360120180240300SE +/- 0.60, N = 3SE +/- 0.44, N = 3SE +/- 0.44, N = 3SE +/- 0.60, N = 32762762772771. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPU241350100150200250Min: 275.5 / Avg: 276.33 / Max: 277.5Min: 275.5 / Avg: 276.17 / Max: 277Min: 276 / Avg: 276.67 / Max: 277.5Min: 276 / Avg: 276.83 / Max: 2781. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit241320406080100SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 386.6986.8086.9486.95MIN: 57.67 / MAX: 205.52MIN: 57.7 / MAX: 201.13MIN: 57.81 / MAX: 204.11MIN: 57.85 / MAX: 206.681. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit24131632486480Min: 86.64 / Avg: 86.69 / Max: 86.76Min: 86.66 / Avg: 86.8 / Max: 86.91Min: 86.83 / Avg: 86.94 / Max: 87.11Min: 86.88 / Avg: 86.95 / Max: 87.061. (CC) gcc options: -pthread

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPU2341100200300400500SE +/- 0.88, N = 3SE +/- 1.01, N = 3SE +/- 0.29, N = 3SE +/- 1.09, N = 34564564564571. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPU234180160240320400Min: 454 / Avg: 455.67 / Max: 457Min: 454.5 / Avg: 456.33 / Max: 458Min: 455 / Avg: 455.5 / Max: 456Min: 456 / Avg: 457.33 / Max: 459.51. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPU23414K8K12K16K20KSE +/- 36.47, N = 3SE +/- 45.72, N = 3SE +/- 51.91, N = 3SE +/- 56.65, N = 3169491695316955169731. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPU23413K6K9K12K15KMin: 16896 / Avg: 16949.17 / Max: 17019Min: 16868.5 / Avg: 16953 / Max: 17025.5Min: 16883 / Avg: 16955.33 / Max: 17056Min: 16894.5 / Avg: 16973 / Max: 170831. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt