9400F Weds

Intel Core i5-9400F testing with a MSI B360M GAMING PLUS (MS-7B19) v1.0 (1.10 BIOS) and MSI NVIDIA NV106 1GB 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 2101148-HA-9400FWEDS72
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9400F WedsProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123Intel Core i5-9400F @ 4.10GHz (6 Cores)MSI B360M GAMING PLUS (MS-7B19) v1.0 (1.10 BIOS)Intel Cannon Lake PCH16GB256GB SAMSUNG MZVPW256HEGL-000H7MSI NVIDIA NV106 1GBRealtek ALC887-VDG237HLIntel I219-VUbuntu 20.045.9.0-050900rc7daily20200928-generic (x86_64) 20200927GNOME Shell 3.36.0X Server 1.20.7modesetting 1.20.74.3 Mesa 20.0.2GCC 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,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: intel_pstate powersave - CPU Microcode: 0xca - Thermald 1.9.1 Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Vulnerable: No microcode + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite 10.2.2100%101%101%102%OpenFOAMdav1dCP2K Molecular DynamicsLULESHKripkeMobile Neural Networkrav1eAlgebraic Multi-Grid BenchmarkTNNLAMMPS Molecular Dynamics Simulator

9400F Wedscp2k: Fayalite-FIST Dataamg: openfoam: Motorbike 30Mlammps: Rhodopsin Proteinlulesh: dav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitrav1e: 1rav1e: 5rav1e: 6rav1e: 10mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3tnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1kripke: 1231158.683205249633379.764.4351261.7938355.6299.19340.0285.310.4031.1411.5043.3165.00126.8303.3743.50131.174325.555330.096396179501155.083204556667391.014.4411251.8085352.5696.36337.4984.840.4011.1371.4983.3065.04226.9223.3863.53931.178328.067330.295393214401161.446204425333385.604.4291251.6970353.7996.41338.4985.070.4011.1351.4983.3034.98326.8823.3753.49730.984324.886329.98539304117OpenBenchmarking.org

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 Data12320040060080010001158.681155.081161.45

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 1.212340M80M120M160M200MSE +/- 117713.98, N = 3SE +/- 167844.22, N = 3SE +/- 448757.19, N = 32052496332045566672044253331. (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 1.212340M80M120M160M200MMin: 205100200 / Avg: 205249633.33 / Max: 205481900Min: 204222500 / Avg: 204556666.67 / Max: 204751400Min: 203528100 / Avg: 204425333.33 / Max: 2048934001. (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 30M12380160240320400SE +/- 0.07, N = 3SE +/- 4.60, N = 6SE +/- 0.14, N = 3379.76391.01385.601. (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 30M12370140210280350Min: 379.66 / Avg: 379.76 / Max: 379.89Min: 385.61 / Avg: 391.01 / Max: 413.99Min: 385.32 / Avg: 385.6 / Max: 385.751. (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 Protein1230.99921.99842.99763.99684.996SE +/- 0.034, N = 3SE +/- 0.035, N = 3SE +/- 0.016, N = 34.4354.4414.4291. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein123246810Min: 4.37 / Avg: 4.44 / Max: 4.47Min: 4.37 / Avg: 4.44 / Max: 4.49Min: 4.4 / Avg: 4.43 / Max: 4.461. (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 2.0.312330060090012001500SE +/- 0.44, N = 3SE +/- 1.12, N = 3SE +/- 0.69, N = 31261.791251.811251.701. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.31232004006008001000Min: 1261.35 / Avg: 1261.79 / Max: 1262.66Min: 1250.52 / Avg: 1251.81 / Max: 1254.04Min: 1250.91 / Avg: 1251.7 / Max: 1253.081. (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 1080p12380160240320400SE +/- 0.41, N = 3SE +/- 0.61, N = 3SE +/- 0.54, N = 3355.62352.56353.79MIN: 261.13 / MAX: 577.39MIN: 259.91 / MAX: 566.57MIN: 260.27 / MAX: 581.551. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p12360120180240300Min: 354.81 / Avg: 355.62 / Max: 356.11Min: 351.36 / Avg: 352.56 / Max: 353.31Min: 353.02 / Avg: 353.79 / Max: 354.821. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K12320406080100SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.20, N = 399.1996.3696.41MIN: 93.09 / MAX: 112.79MIN: 90.71 / MAX: 109.13MIN: 90.51 / MAX: 109.211. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K12320406080100Min: 99.08 / Avg: 99.19 / Max: 99.26Min: 96.22 / Avg: 96.36 / Max: 96.49Min: 96.01 / Avg: 96.41 / Max: 96.661. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p12370140210280350SE +/- 0.35, N = 3SE +/- 1.68, N = 3SE +/- 0.60, N = 3340.02337.49338.49MIN: 317.34 / MAX: 369.58MIN: 313.46 / MAX: 369.34MIN: 316.53 / MAX: 369.691. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p12360120180240300Min: 339.41 / Avg: 340.02 / Max: 340.63Min: 334.13 / Avg: 337.49 / Max: 339.36Min: 337.35 / Avg: 338.49 / Max: 339.391. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit12320406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 385.3184.8485.07MIN: 59.12 / MAX: 185.82MIN: 58.93 / MAX: 180.1MIN: 59.01 / MAX: 183.751. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit1231632486480Min: 85.25 / Avg: 85.31 / Max: 85.37Min: 84.77 / Avg: 84.84 / Max: 84.88Min: 85 / Avg: 85.07 / Max: 85.111. (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: 11230.09070.18140.27210.36280.4535SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.4030.4010.401
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 112312345Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.4 / Avg: 0.4 / Max: 0.4

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 51230.25670.51340.77011.02681.2835SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 31.1411.1371.135
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5123246810Min: 1.14 / Avg: 1.14 / Max: 1.14Min: 1.14 / Avg: 1.14 / Max: 1.14Min: 1.13 / Avg: 1.14 / Max: 1.14

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 61230.33840.67681.01521.35361.692SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 31.5041.4981.498
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6123246810Min: 1.5 / Avg: 1.5 / Max: 1.51Min: 1.5 / Avg: 1.5 / Max: 1.5Min: 1.5 / Avg: 1.5 / Max: 1.5

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 101230.74611.49222.23832.98443.7305SE +/- 0.006, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 33.3163.3063.303
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10123246810Min: 3.31 / Avg: 3.32 / Max: 3.33Min: 3.3 / Avg: 3.31 / Max: 3.31Min: 3.3 / Avg: 3.3 / Max: 3.31

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: SqueezeNetV1.01231.13452.2693.40354.5385.6725SE +/- 0.022, N = 3SE +/- 0.029, N = 3SE +/- 0.025, N = 35.0015.0424.983MIN: 4.8 / MAX: 14.73MIN: 4.85 / MAX: 15.02MIN: 4.8 / MAX: 15.641. (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: SqueezeNetV1.0123246810Min: 4.97 / Avg: 5 / Max: 5.04Min: 5 / Avg: 5.04 / Max: 5.1Min: 4.93 / Avg: 4.98 / Max: 5.011. (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-v2-50123612182430SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 326.8326.9226.88MIN: 26.67 / MAX: 36.32MIN: 26.73 / MAX: 36.48MIN: 26.73 / MAX: 36.431. (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-v2-50123612182430Min: 26.78 / Avg: 26.83 / Max: 26.88Min: 26.88 / Avg: 26.92 / Max: 26.99Min: 26.86 / Avg: 26.88 / Max: 26.931. (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_2241230.76191.52382.28573.04763.8095SE +/- 0.019, N = 3SE +/- 0.019, N = 3SE +/- 0.020, N = 33.3743.3863.375MIN: 3.19 / MAX: 14.55MIN: 3.24 / MAX: 13.56MIN: 3.25 / MAX: 13.871. (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_224123246810Min: 3.34 / Avg: 3.37 / Max: 3.41Min: 3.36 / Avg: 3.39 / Max: 3.42Min: 3.34 / Avg: 3.37 / Max: 3.411. (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-v1-1.01230.79631.59262.38893.18523.9815SE +/- 0.010, N = 3SE +/- 0.025, N = 3SE +/- 0.002, N = 33.5013.5393.497MIN: 3.44 / MAX: 13.12MIN: 3.44 / MAX: 10.36MIN: 3.44 / MAX: 3.991. (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-v1-1.0123246810Min: 3.49 / Avg: 3.5 / Max: 3.52Min: 3.5 / Avg: 3.54 / Max: 3.59Min: 3.49 / Avg: 3.5 / Max: 3.51. (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-v3123714212835SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 331.1731.1830.98MIN: 30.91 / MAX: 40.5MIN: 30.8 / MAX: 40.91MIN: 30.65 / MAX: 40.831. (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: inception-v3123714212835Min: 31.14 / Avg: 31.17 / Max: 31.2Min: 30.95 / Avg: 31.18 / Max: 31.35Min: 30.82 / Avg: 30.98 / Max: 31.141. (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 v212370140210280350SE +/- 0.68, N = 3SE +/- 0.39, N = 3SE +/- 0.46, N = 3325.56328.07324.89MIN: 323.74 / MAX: 343.05MIN: 326.36 / MAX: 330.31MIN: 323.05 / MAX: 342.771. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212360120180240300Min: 324.8 / Avg: 325.56 / Max: 326.92Min: 327.55 / Avg: 328.07 / Max: 328.82Min: 324.39 / Avg: 324.89 / Max: 325.811. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112370140210280350SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3330.10330.30329.99MIN: 329.09 / MAX: 332.53MIN: 329.1 / MAX: 331.32MIN: 328.52 / MAX: 330.881. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112360120180240300Min: 330 / Avg: 330.1 / Max: 330.25Min: 330.2 / Avg: 330.29 / Max: 330.42Min: 329.68 / Avg: 329.99 / Max: 330.171. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 1.2.41238M16M24M32M40MSE +/- 39951.11, N = 3SE +/- 70606.60, N = 3SE +/- 35224.13, N = 33961795039321440393041171. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.41237M14M21M28M35MMin: 39567380 / Avg: 39617950 / Max: 39696810Min: 39201850 / Avg: 39321440 / Max: 39446270Min: 39233670 / Avg: 39304116.67 / Max: 393397501. (CXX) g++ options: -O3 -fopenmp


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