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&grs.

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 Wedsopenfoam: Motorbike 30Mdav1d: Summer Nature 4Kmnn: mobilenet-v1-1.0mnn: SqueezeNetV1.0tnn: CPU - MobileNet v2dav1d: Chimera 1080plulesh: kripke: dav1d: Summer Nature 1080pmnn: inception-v3dav1d: Chimera 1080p 10-bitcp2k: Fayalite-FIST Datarav1e: 5rav1e: 1amg: rav1e: 6rav1e: 10mnn: MobileNetV2_224mnn: resnet-v2-50lammps: Rhodopsin Proteintnn: CPU - SqueezeNet v1.1123379.7699.193.5015.001325.555355.621261.793839617950340.0231.17485.311158.6831.1410.4032052496331.5043.3163.37426.8304.435330.096391.0196.363.5395.042328.067352.561251.808539321440337.4931.17884.841155.0831.1370.4012045566671.4983.3063.38626.9224.441330.295385.6096.413.4974.983324.886353.791251.697039304117338.4930.98485.071161.4461.1350.4012044253331.4983.3033.37526.8824.429329.985OpenBenchmarking.org

OpenFOAM

Input: Motorbike 30M

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

dav1d

Video Input: Summer Nature 4K

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

Mobile Neural Network

Model: mobilenet-v1-1.0

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

Mobile Neural Network

Model: SqueezeNetV1.0

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

TNN

Target: CPU - Model: MobileNet v2

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

dav1d

Video Input: Chimera 1080p

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

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

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

dav1d

Video Input: Summer Nature 1080p

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

Mobile Neural Network

Model: inception-v3

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

dav1d

Video Input: Chimera 1080p 10-bit

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

CP2K Molecular Dynamics

Fayalite-FIST Data

OpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 8.1Fayalite-FIST Data12320040060080010001158.681155.081161.45

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: 1

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

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

rav1e

Speed: 6

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

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: MobileNetV2_224

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

Mobile Neural Network

Model: resnet-v2-50

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

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

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

TNN

Target: CPU - Model: SqueezeNet v1.1

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


Phoronix Test Suite v10.8.4