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.

HTML result view exported from: https://openbenchmarking.org/result/2101148-HA-9400FWEDS72&sor.

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

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

Fayalite-FIST Data

OpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 8.1Fayalite-FIST Data21320040060080010001155.081158.681161.45

Algebraic Multi-Grid Benchmark

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

OpenFOAM

Input: Motorbike 30M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30M13280160240320400SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 4.60, N = 6379.76385.60391.011. (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

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein2130.99921.99842.99763.99684.996SE +/- 0.035, N = 3SE +/- 0.034, N = 3SE +/- 0.016, N = 34.4414.4354.4291. (CXX) g++ options: -O3 -pthread -lm

LULESH

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

dav1d

Video Input: Chimera 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p13280160240320400SE +/- 0.41, N = 3SE +/- 0.54, N = 3SE +/- 0.61, N = 3355.62353.79352.56MIN: 261.13 / MAX: 577.39MIN: 260.27 / MAX: 581.55MIN: 259.91 / MAX: 566.571. (CC) gcc options: -pthread

dav1d

Video Input: Summer Nature 4K

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K13220406080100SE +/- 0.06, N = 3SE +/- 0.20, N = 3SE +/- 0.08, N = 399.1996.4196.36MIN: 93.09 / MAX: 112.79MIN: 90.51 / MAX: 109.21MIN: 90.71 / MAX: 109.131. (CC) gcc options: -pthread

dav1d

Video Input: Summer Nature 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p13270140210280350SE +/- 0.35, N = 3SE +/- 0.60, N = 3SE +/- 1.68, N = 3340.02338.49337.49MIN: 317.34 / MAX: 369.58MIN: 316.53 / MAX: 369.69MIN: 313.46 / MAX: 369.341. (CC) gcc options: -pthread

dav1d

Video Input: Chimera 1080p 10-bit

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit13220406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 385.3185.0784.84MIN: 59.12 / MAX: 185.82MIN: 59.01 / MAX: 183.75MIN: 58.93 / MAX: 180.11. (CC) gcc options: -pthread

rav1e

Speed: 1

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 11320.09070.18140.27210.36280.4535SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.4030.4010.401

rav1e

Speed: 5

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

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 61320.33840.67681.01521.35361.692SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 31.5041.4981.498

rav1e

Speed: 10

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

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.03121.13452.2693.40354.5385.6725SE +/- 0.025, N = 3SE +/- 0.022, N = 3SE +/- 0.029, N = 34.9835.0015.042MIN: 4.8 / MAX: 15.64MIN: 4.8 / MAX: 14.73MIN: 4.85 / MAX: 15.021. (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

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-50132612182430SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 326.8326.8826.92MIN: 26.67 / MAX: 36.32MIN: 26.73 / MAX: 36.43MIN: 26.73 / MAX: 36.481. (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

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_2241320.76191.52382.28573.04763.8095SE +/- 0.019, N = 3SE +/- 0.020, N = 3SE +/- 0.019, N = 33.3743.3753.386MIN: 3.19 / MAX: 14.55MIN: 3.25 / MAX: 13.87MIN: 3.24 / MAX: 13.561. (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

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.03120.79631.59262.38893.18523.9815SE +/- 0.002, N = 3SE +/- 0.010, N = 3SE +/- 0.025, N = 33.4973.5013.539MIN: 3.44 / MAX: 3.99MIN: 3.44 / MAX: 13.12MIN: 3.44 / MAX: 10.361. (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

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: inception-v3312714212835SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 330.9831.1731.18MIN: 30.65 / MAX: 40.83MIN: 30.91 / MAX: 40.5MIN: 30.8 / MAX: 40.911. (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

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v231270140210280350SE +/- 0.46, N = 3SE +/- 0.68, N = 3SE +/- 0.39, N = 3324.89325.56328.07MIN: 323.05 / MAX: 342.77MIN: 323.74 / MAX: 343.05MIN: 326.36 / MAX: 330.311. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

TNN

Target: CPU - Model: SqueezeNet v1.1

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.131270140210280350SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3329.99330.10330.30MIN: 328.52 / MAX: 330.88MIN: 329.09 / MAX: 332.53MIN: 329.1 / MAX: 331.321. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Kripke

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


Phoronix Test Suite v10.8.4