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 Suite 10.2.2100%101%102%104%105%KripkeLAMMPS Molecular Dynamics SimulatorCloverLeafLULESHAlgebraic Multi-Grid BenchmarkTimed Godot Game Engine Compilationrav1eOpenFOAMONNX RuntimeGoogle SynthMarkdav1dTNNMobile Neural NetworkCP2K Molecular Dynamics

3300X Necloverleaf: Lagrangian-Eulerian Hydrodynamicscp2k: Fayalite-FIST Dataamg: openfoam: Motorbike 30Mopenfoam: Motorbike 60Mlammps: Rhodopsin Proteinlulesh: dav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitrav1e: 1rav1e: 5rav1e: 6rav1e: 10build-godot: Time To Compilesynthmark: VoiceMark_100mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3tnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1onnx: yolov4 - OpenMP CPUonnx: bertsquad-10 - OpenMP CPUonnx: fcn-resnet101-11 - OpenMP CPUonnx: shufflenet-v2-10 - OpenMP CPUonnx: super-resolution-10 - OpenMP CPUkripke: 1234174.89996.622232054367300.641305.093.1281588.2578390.15114.04377.0586.940.4231.2151.6053.547239.182671.2814.63424.5942.8103.48433.273262.479244.6832774574416973330960249083178.09995.345233224533299.291288.563.0771577.9248388.22113.60380.1986.690.4211.2281.6103.571237.700673.6904.68024.7032.8223.45233.731262.639244.4892764564416949330759623597178.30997.563233369867299.551292.413.0321574.4373389.46113.76377.9686.950.4231.2181.6083.556237.379669.9834.63324.6702.8183.47433.306261.316244.6062774564416953332858866747174.47999.11234006167299.711307.303.1501572.3862387.67113.06375.2286.800.4241.2061.5963.545237.643671.2564.65924.6432.8283.48333.275261.881245.8572764564316955332157513777OpenBenchmarking.org

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 Hydrodynamics12344080120160200SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 3174.89178.09178.30174.471. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics1234306090120150Min: 174.77 / Avg: 174.89 / Max: 175Min: 177.9 / Avg: 178.09 / Max: 178.26Min: 178.25 / Avg: 178.3 / Max: 178.37Min: 174.12 / Avg: 174.47 / Max: 174.651. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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 Data12342004006008001000996.62995.35997.56999.11

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

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 30M123470140210280350SE +/- 0.28, N = 3SE +/- 0.31, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 3300.64299.29299.55299.711. (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 30M123450100150200250Min: 300.13 / Avg: 300.64 / Max: 301.09Min: 298.67 / Avg: 299.29 / Max: 299.61Min: 299.35 / Avg: 299.55 / Max: 299.8Min: 299.57 / Avg: 299.71 / Max: 299.951. (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 60M123430060090012001500SE +/- 1.47, N = 3SE +/- 2.08, N = 3SE +/- 2.99, N = 3SE +/- 5.42, N = 31305.091288.561292.411307.301. (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 60M12342004006008001000Min: 1303.56 / Avg: 1305.09 / Max: 1308.03Min: 1286.47 / Avg: 1288.56 / Max: 1292.72Min: 1287.43 / Avg: 1292.41 / Max: 1297.78Min: 1300.69 / Avg: 1307.3 / Max: 1318.051. (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

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 Protein12340.70881.41762.12642.83523.544SE +/- 0.030, N = 15SE +/- 0.038, N = 3SE +/- 0.044, N = 3SE +/- 0.033, N = 153.1283.0773.0323.1501. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1234246810Min: 2.91 / Avg: 3.13 / Max: 3.31Min: 3 / Avg: 3.08 / Max: 3.12Min: 2.95 / Avg: 3.03 / Max: 3.1Min: 2.84 / Avg: 3.15 / Max: 3.331. (CXX) g++ options: -O3 -pthread -lm

LULESH

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

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3123430060090012001500SE +/- 1.44, N = 3SE +/- 0.61, N = 3SE +/- 0.37, N = 3SE +/- 1.33, N = 31588.261577.921574.441572.391. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3123430060090012001500Min: 1585.64 / Avg: 1588.26 / Max: 1590.63Min: 1576.86 / Avg: 1577.92 / Max: 1578.96Min: 1574.01 / Avg: 1574.44 / Max: 1575.17Min: 1570.13 / Avg: 1572.39 / Max: 1574.731. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

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 1080p123480160240320400SE +/- 1.31, N = 3SE +/- 1.39, N = 3SE +/- 0.57, N = 3SE +/- 1.19, N = 3390.15388.22389.46387.67MIN: 282.62 / MAX: 615.51MIN: 280.59 / MAX: 628.44MIN: 282.78 / MAX: 607.25MIN: 280.67 / MAX: 641.961. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p123470140210280350Min: 388.2 / Avg: 390.15 / Max: 392.63Min: 385.67 / Avg: 388.22 / Max: 390.44Min: 388.54 / Avg: 389.46 / Max: 390.5Min: 385.58 / Avg: 387.67 / Max: 389.71. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K1234306090120150SE +/- 0.27, N = 3SE +/- 0.25, N = 3SE +/- 0.23, N = 3SE +/- 0.24, N = 3114.04113.60113.76113.06MIN: 106.14 / MAX: 132.86MIN: 105.69 / MAX: 132.42MIN: 105.75 / MAX: 131.04MIN: 105.22 / MAX: 130.731. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K123420406080100Min: 113.7 / Avg: 114.04 / Max: 114.58Min: 113.09 / Avg: 113.6 / Max: 113.86Min: 113.52 / Avg: 113.76 / Max: 114.22Min: 112.59 / Avg: 113.06 / Max: 113.411. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p123480160240320400SE +/- 2.03, N = 3SE +/- 1.40, N = 3SE +/- 2.65, N = 3SE +/- 1.43, N = 3377.05380.19377.96375.22MIN: 323.75 / MAX: 415.69MIN: 350.15 / MAX: 420.76MIN: 331.67 / MAX: 426.13MIN: 341.26 / MAX: 412.661. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p123470140210280350Min: 374.83 / Avg: 377.05 / Max: 381.1Min: 377.49 / Avg: 380.19 / Max: 382.18Min: 374.71 / Avg: 377.96 / Max: 383.21Min: 373.19 / Avg: 375.22 / Max: 377.971. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit123420406080100SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 386.9486.6986.9586.80MIN: 57.81 / MAX: 204.11MIN: 57.67 / MAX: 205.52MIN: 57.85 / MAX: 206.68MIN: 57.7 / MAX: 201.131. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit12341632486480Min: 86.83 / Avg: 86.94 / Max: 87.11Min: 86.64 / Avg: 86.69 / Max: 86.76Min: 86.88 / Avg: 86.95 / Max: 87.06Min: 86.66 / Avg: 86.8 / Max: 86.911. (CC) gcc options: -pthread

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: 112340.09540.19080.28620.38160.477SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 30.4230.4210.4230.424
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1123412345Min: 0.42 / Avg: 0.42 / Max: 0.43Min: 0.41 / Avg: 0.42 / Max: 0.43Min: 0.42 / Avg: 0.42 / Max: 0.42Min: 0.42 / Avg: 0.42 / Max: 0.43

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 512340.27630.55260.82891.10521.3815SE +/- 0.008, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 31.2151.2281.2181.206
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 51234246810Min: 1.2 / Avg: 1.22 / Max: 1.23Min: 1.23 / Avg: 1.23 / Max: 1.23Min: 1.21 / Avg: 1.22 / Max: 1.22Min: 1.2 / Avg: 1.21 / Max: 1.21

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 612340.36230.72461.08691.44921.8115SE +/- 0.010, N = 3SE +/- 0.003, N = 3SE +/- 0.010, N = 3SE +/- 0.011, N = 31.6051.6101.6081.596
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 61234246810Min: 1.59 / Avg: 1.6 / Max: 1.62Min: 1.61 / Avg: 1.61 / Max: 1.62Min: 1.59 / Avg: 1.61 / Max: 1.63Min: 1.58 / Avg: 1.6 / Max: 1.61

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1012340.80351.6072.41053.2144.0175SE +/- 0.025, N = 3SE +/- 0.025, N = 3SE +/- 0.039, N = 3SE +/- 0.015, N = 33.5473.5713.5563.545
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 101234246810Min: 3.5 / Avg: 3.55 / Max: 3.59Min: 3.54 / Avg: 3.57 / Max: 3.62Min: 3.48 / Avg: 3.56 / Max: 3.6Min: 3.52 / Avg: 3.55 / Max: 3.56

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 Compile123450100150200250SE +/- 1.76, N = 3SE +/- 0.30, N = 3SE +/- 0.36, N = 3SE +/- 0.34, N = 3239.18237.70237.38237.64
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile12344080120160200Min: 236.6 / Avg: 239.18 / Max: 242.56Min: 237.34 / Avg: 237.7 / Max: 238.3Min: 236.95 / Avg: 237.38 / Max: 238.1Min: 236.98 / Avg: 237.64 / Max: 238.14

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_1001234150300450600750SE +/- 0.69, N = 3SE +/- 0.60, N = 3SE +/- 1.12, N = 3SE +/- 1.23, N = 3671.28673.69669.98671.261. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_1001234120240360480600Min: 670.08 / Avg: 671.28 / Max: 672.48Min: 672.58 / Avg: 673.69 / Max: 674.65Min: 668.03 / Avg: 669.98 / Max: 671.92Min: 669.43 / Avg: 671.26 / Max: 673.61. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast

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: SqueezeNetV1.012341.0532.1063.1594.2125.265SE +/- 0.023, N = 3SE +/- 0.018, N = 3SE +/- 0.019, N = 3SE +/- 0.019, N = 34.6344.6804.6334.659MIN: 4.53 / MAX: 67.7MIN: 4.53 / MAX: 52.51MIN: 4.53 / MAX: 52.47MIN: 4.55 / MAX: 67.891. (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: SqueezeNetV1.01234246810Min: 4.59 / Avg: 4.63 / Max: 4.66Min: 4.64 / Avg: 4.68 / Max: 4.7Min: 4.6 / Avg: 4.63 / Max: 4.66Min: 4.62 / Avg: 4.66 / Max: 4.691. (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-v2-501234612182430SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 324.5924.7024.6724.64MIN: 24.29 / MAX: 87.85MIN: 23.54 / MAX: 86.92MIN: 23.68 / MAX: 87.87MIN: 24.29 / MAX: 87.91. (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-v2-501234612182430Min: 24.58 / Avg: 24.59 / Max: 24.6Min: 24.61 / Avg: 24.7 / Max: 24.76Min: 24.54 / Avg: 24.67 / Max: 24.78Min: 24.51 / Avg: 24.64 / Max: 24.731. (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_22412340.63631.27261.90892.54523.1815SE +/- 0.011, N = 3SE +/- 0.008, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 32.8102.8222.8182.828MIN: 2.77 / MAX: 5.25MIN: 2.79 / MAX: 2.88MIN: 2.79 / MAX: 5.63MIN: 2.8 / MAX: 3.551. (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_2241234246810Min: 2.79 / Avg: 2.81 / Max: 2.83Min: 2.81 / Avg: 2.82 / Max: 2.83Min: 2.81 / Avg: 2.82 / Max: 2.82Min: 2.82 / Avg: 2.83 / 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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.012340.78391.56782.35173.13563.9195SE +/- 0.022, N = 3SE +/- 0.007, N = 3SE +/- 0.022, N = 3SE +/- 0.023, N = 33.4843.4523.4743.483MIN: 3.41 / MAX: 66.78MIN: 3.41 / MAX: 6.27MIN: 3.41 / MAX: 51.38MIN: 3.4 / MAX: 66.971. (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-v1-1.01234246810Min: 3.44 / Avg: 3.48 / Max: 3.51Min: 3.44 / Avg: 3.45 / Max: 3.46Min: 3.44 / Avg: 3.47 / Max: 3.51Min: 3.44 / Avg: 3.48 / Max: 3.511. (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-v31234816243240SE +/- 0.04, N = 3SE +/- 0.33, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 333.2733.7333.3133.28MIN: 32.89 / MAX: 96.61MIN: 32.75 / MAX: 105.49MIN: 32.55 / MAX: 96.58MIN: 32.89 / MAX: 97.511. (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-v31234714212835Min: 33.18 / Avg: 33.27 / Max: 33.33Min: 33.37 / Avg: 33.73 / Max: 34.38Min: 33.22 / Avg: 33.31 / Max: 33.39Min: 33.19 / Avg: 33.27 / Max: 33.321. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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 v2123460120180240300SE +/- 0.30, N = 3SE +/- 1.76, N = 3SE +/- 0.49, N = 3SE +/- 0.38, N = 3262.48262.64261.32261.88MIN: 259.11 / MAX: 293.3MIN: 256.83 / MAX: 304.89MIN: 258.09 / MAX: 302.53MIN: 258.61 / MAX: 296.681. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2123450100150200250Min: 261.9 / Avg: 262.48 / Max: 262.92Min: 259.77 / Avg: 262.64 / Max: 265.83Min: 260.36 / Avg: 261.32 / Max: 262.02Min: 261.38 / Avg: 261.88 / Max: 262.621. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1123450100150200250SE +/- 0.86, N = 3SE +/- 1.08, N = 3SE +/- 0.37, N = 3SE +/- 0.88, N = 3244.68244.49244.61245.86MIN: 241.74 / MAX: 254.56MIN: 241.35 / MAX: 247.34MIN: 242.09 / MAX: 255.9MIN: 243.14 / MAX: 255.91. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112344080120160200Min: 243.47 / Avg: 244.68 / Max: 246.35Min: 243.15 / Avg: 244.49 / Max: 246.62Min: 244.2 / Avg: 244.61 / Max: 245.34Min: 244.98 / Avg: 245.86 / Max: 247.611. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 CPU123460120180240300SE +/- 0.44, N = 3SE +/- 0.60, N = 3SE +/- 0.60, N = 3SE +/- 0.44, N = 32772762772761. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPU123450100150200250Min: 276 / Avg: 276.67 / Max: 277.5Min: 275.5 / Avg: 276.33 / Max: 277.5Min: 276 / Avg: 276.83 / Max: 278Min: 275.5 / Avg: 276.17 / Max: 2771. (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 CPU1234100200300400500SE +/- 1.09, N = 3SE +/- 0.88, N = 3SE +/- 1.01, N = 3SE +/- 0.29, N = 34574564564561. (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 CPU123480160240320400Min: 456 / Avg: 457.33 / Max: 459.5Min: 454 / Avg: 455.67 / Max: 457Min: 454.5 / Avg: 456.33 / Max: 458Min: 455 / Avg: 455.5 / Max: 4561. (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 CPU12341020304050SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.17, N = 3444444431. (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 CPU1234918273645Min: 43.5 / Avg: 43.5 / Max: 43.5Min: 43.5 / Avg: 43.5 / Max: 43.5Min: 43.5 / Avg: 43.5 / Max: 43.5Min: 43 / Avg: 43.33 / Max: 43.51. (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 CPU12344K8K12K16K20KSE +/- 56.65, N = 3SE +/- 36.47, N = 3SE +/- 45.72, N = 3SE +/- 51.91, N = 3169731694916953169551. (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 CPU12343K6K9K12K15KMin: 16894.5 / Avg: 16973 / Max: 17083Min: 16896 / Avg: 16949.17 / Max: 17019Min: 16868.5 / Avg: 16953 / Max: 17025.5Min: 16883 / Avg: 16955.33 / Max: 170561. (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 CPU12347001400210028003500SE +/- 8.10, N = 3SE +/- 4.76, N = 3SE +/- 11.96, N = 3SE +/- 17.05, N = 333093307332833211. (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 CPU12346001200180024003000Min: 3294.5 / Avg: 3309 / Max: 3322.5Min: 3299 / Avg: 3307.33 / Max: 3315.5Min: 3314 / Avg: 3327.67 / Max: 3351.5Min: 3292 / Avg: 3320.67 / Max: 33511. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

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 1.2.4123413M26M39M52M65MSE +/- 54481.57, N = 3SE +/- 321232.30, N = 3SE +/- 125423.65, N = 3SE +/- 360049.67, N = 3602490835962359758866747575137771. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4123410M20M30M40M50MMin: 60148740 / Avg: 60249083.33 / Max: 60336040Min: 59035250 / Avg: 59623596.67 / Max: 60141280Min: 58686640 / Avg: 58866746.67 / Max: 59108010Min: 56898450 / Avg: 57513776.67 / Max: 581453801. (CXX) g++ options: -O3 -fopenmp