7700K Mon

Intel Core i7-7700K testing with a MSI Z270-A PRO (MS-7A71) v1.0 (1.60 BIOS) and MSI Intel HD 630 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 2101191-HA-7700KMON450
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7700K MonProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDisplay ServerDisplay DriverOpenCLCompilerFile-SystemScreen Resolution123Intel Core i7-7700K @ 4.50GHz (4 Cores / 8 Threads)MSI Z270-A PRO (MS-7A71) v1.0 (1.60 BIOS)Intel Xeon E3-1200 v6/7th + Z27016GB256GB Samsung SSD 850MSI Intel HD 630 (1150MHz)Realtek ALC892LG Ultra HDRealtek RTL8111/8168/8411Ubuntu 20.045.9.0-050900rc8daily20201011-generic (x86_64) 20201010X Server 1.20.8modesetting 1.20.8OpenCL 2.1GCC 9.3.0ext43840x2160OpenBenchmarking.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: intel_pstate powersave - CPU Microcode: 0xde - Thermald 1.9.1 Python Details- Python 3.8.5Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + 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: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

123Result OverviewPhoronix Test Suite 10.6.1100%101%102%103%CloverLeafAlgebraic Multi-Grid BenchmarkCP2K Molecular Dynamicsrav1eLAMMPS Molecular Dynamics Simulatordav1dLULESHMobile Neural NetworkKripkeTNNTimed Godot Game Engine CompilationGoogle SynthMarkONNX RuntimeOpenFOAM

7700K Moncloverleaf: Lagrangian-Eulerian Hydrodynamicscp2k: Fayalite-FIST Dataamg: openfoam: Motorbike 30Mopenfoam: Motorbike 60Mlammps: 20k Atomslammps: 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: 123178.96995.623235269400299.841209.703.6023.5491414.7327391.22104.93363.9983.600.4441.2051.5853.152257.242705.0705.68937.5713.2393.62544.402314.395300.6552874474716571339931470733186.36998.083233286800300.431209.993.6093.5021412.4049391.46103.30363.4683.330.4461.1901.5833.110257.503705.6075.73737.6453.2743.61944.492314.569300.7482864434816555336731495320186.581005.818237443733299.671210.293.6093.5101407.8814391.82103.47362.5783.410.4491.2171.5593.167257.241704.5575.68937.3083.2613.64045.016313.538300.8032854434816545337331391677OpenBenchmarking.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 Hydrodynamics3214080120160200SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3186.58186.36178.961. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics321306090120150Min: 186.55 / Avg: 186.58 / Max: 186.62Min: 186.2 / Avg: 186.36 / Max: 186.49Min: 178.9 / Avg: 178.96 / Max: 179.041. (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 Data32120040060080010001005.82998.08995.62

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 1.232150M100M150M200M250MSE +/- 331877.57, N = 3SE +/- 3701972.25, N = 3SE +/- 2182490.75, N = 32374437332332868002352694001. (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 1.232140M80M120M160M200MMin: 236800300 / Avg: 237443733.33 / Max: 237906600Min: 225888400 / Avg: 233286800 / Max: 237234100Min: 230907900 / Avg: 235269400 / Max: 2376011001. (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 30M32170140210280350SE +/- 0.38, N = 3SE +/- 0.15, N = 3SE +/- 0.19, N = 3299.67300.43299.841. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lspecie -lfiniteVolume -lfvOptions -lgenericPatchFields -lmeshTools -lsampling -lOpenFOAM -ldl -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30M32150100150200250Min: 299.22 / Avg: 299.67 / Max: 300.42Min: 300.14 / Avg: 300.43 / Max: 300.66Min: 299.58 / Avg: 299.84 / Max: 300.211. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lspecie -lfiniteVolume -lfvOptions -lgenericPatchFields -lmeshTools -lsampling -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60M32130060090012001500SE +/- 1.04, N = 3SE +/- 0.61, N = 3SE +/- 0.16, N = 31210.291209.991209.701. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lspecie -lfiniteVolume -lfvOptions -lgenericPatchFields -lmeshTools -lsampling -lOpenFOAM -ldl -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60M3212004006008001000Min: 1209 / Avg: 1210.29 / Max: 1212.34Min: 1209.1 / Avg: 1209.99 / Max: 1211.15Min: 1209.38 / Avg: 1209.7 / Max: 1209.931. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lspecie -lfiniteVolume -lfvOptions -lgenericPatchFields -lmeshTools -lsampling -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: 20k Atoms3210.8121.6242.4363.2484.06SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.008, N = 33.6093.6093.6021. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms321246810Min: 3.6 / Avg: 3.61 / Max: 3.62Min: 3.6 / Avg: 3.61 / Max: 3.61Min: 3.59 / Avg: 3.6 / Max: 3.611. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein3210.79851.5972.39553.1943.9925SE +/- 0.035, N = 9SE +/- 0.037, N = 3SE +/- 0.011, N = 33.5103.5023.5491. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein321246810Min: 3.23 / Avg: 3.51 / Max: 3.57Min: 3.43 / Avg: 3.5 / Max: 3.55Min: 3.53 / Avg: 3.55 / Max: 3.571. (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 2.0.332130060090012001500SE +/- 3.35, N = 3SE +/- 2.18, N = 3SE +/- 1.38, N = 31407.881412.401414.731. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.33212004006008001000Min: 1401.22 / Avg: 1407.88 / Max: 1411.85Min: 1408.05 / Avg: 1412.4 / Max: 1414.88Min: 1412 / Avg: 1414.73 / Max: 1416.461. (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 1080p32180160240320400SE +/- 0.29, N = 3SE +/- 0.68, N = 3SE +/- 0.64, N = 3391.82391.46391.22MIN: 286.1 / MAX: 638.68MIN: 285.83 / MAX: 627.72MIN: 286.14 / MAX: 644.531. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p32170140210280350Min: 391.24 / Avg: 391.82 / Max: 392.17Min: 390.1 / Avg: 391.46 / Max: 392.18Min: 390.51 / Avg: 391.22 / Max: 392.51. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K32120406080100SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3103.47103.30104.93MIN: 96.78 / MAX: 118.54MIN: 96.82 / MAX: 118.09MIN: 98.09 / MAX: 120.491. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K32120406080100Min: 103.17 / Avg: 103.47 / Max: 103.74Min: 103.21 / Avg: 103.3 / Max: 103.44Min: 104.74 / Avg: 104.93 / Max: 105.111. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p32180160240320400SE +/- 0.52, N = 3SE +/- 0.11, N = 3SE +/- 0.83, N = 3362.57363.46363.99MIN: 337.15 / MAX: 397.32MIN: 338.5 / MAX: 396.71MIN: 338.4 / MAX: 399.431. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p32170140210280350Min: 361.64 / Avg: 362.57 / Max: 363.42Min: 363.33 / Avg: 363.46 / Max: 363.67Min: 362.32 / Avg: 363.99 / Max: 364.881. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit32120406080100SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 383.4183.3383.60MIN: 56.27 / MAX: 182.76MIN: 56.21 / MAX: 183.5MIN: 56.41 / MAX: 186.11. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit3211632486480Min: 83.33 / Avg: 83.41 / Max: 83.47Min: 83.27 / Avg: 83.33 / Max: 83.4Min: 83.47 / Avg: 83.6 / Max: 83.731. (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: 13210.1010.2020.3030.4040.505SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.005, N = 30.4490.4460.444
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 132112345Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.44 / Avg: 0.45 / Max: 0.45Min: 0.44 / Avg: 0.44 / Max: 0.45

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 53210.27380.54760.82141.09521.369SE +/- 0.010, N = 3SE +/- 0.012, N = 3SE +/- 0.013, N = 31.2171.1901.205
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5321246810Min: 1.2 / Avg: 1.22 / Max: 1.23Min: 1.17 / Avg: 1.19 / Max: 1.2Min: 1.18 / Avg: 1.21 / Max: 1.22

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 63210.35660.71321.06981.42641.783SE +/- 0.012, N = 3SE +/- 0.027, N = 3SE +/- 0.004, N = 31.5591.5831.585
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6321246810Min: 1.54 / Avg: 1.56 / Max: 1.58Min: 1.55 / Avg: 1.58 / Max: 1.64Min: 1.58 / Avg: 1.59 / Max: 1.59

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 103210.71261.42522.13782.85043.563SE +/- 0.032, N = 3SE +/- 0.032, N = 15SE +/- 0.026, N = 133.1673.1103.152
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10321246810Min: 3.12 / Avg: 3.17 / Max: 3.23Min: 2.93 / Avg: 3.11 / Max: 3.34Min: 2.98 / Avg: 3.15 / Max: 3.28

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 Compile32160120180240300SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.31, N = 3257.24257.50257.24
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile32150100150200250Min: 257.21 / Avg: 257.24 / Max: 257.28Min: 257.18 / Avg: 257.5 / Max: 257.78Min: 256.68 / Avg: 257.24 / Max: 257.74

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_100321150300450600750SE +/- 0.24, N = 3SE +/- 0.55, N = 3SE +/- 0.23, N = 3704.56705.61705.071. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100321120240360480600Min: 704.28 / Avg: 704.56 / Max: 705.03Min: 704.65 / Avg: 705.61 / Max: 706.56Min: 704.73 / Avg: 705.07 / Max: 705.51. (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: SqueezeNetV1.03211.29082.58163.87245.16326.454SE +/- 0.020, N = 3SE +/- 0.022, N = 3SE +/- 0.012, N = 35.6895.7375.689MIN: 5.61 / MAX: 6.21MIN: 5.64 / MAX: 5.98MIN: 5.63 / MAX: 6.121. (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: SqueezeNetV1.0321246810Min: 5.65 / Avg: 5.69 / Max: 5.72Min: 5.69 / Avg: 5.74 / Max: 5.77Min: 5.67 / Avg: 5.69 / Max: 5.711. (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-v2-50321918273645SE +/- 0.34, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 337.3137.6537.57MIN: 36.52 / MAX: 38.41MIN: 37.38 / MAX: 82.05MIN: 37.33 / MAX: 38.171. (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-v2-50321816243240Min: 36.62 / Avg: 37.31 / Max: 37.69Min: 37.5 / Avg: 37.64 / Max: 37.74Min: 37.43 / Avg: 37.57 / Max: 37.661. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_2243210.73671.47342.21012.94683.6835SE +/- 0.008, N = 3SE +/- 0.008, N = 3SE +/- 0.019, N = 33.2613.2743.239MIN: 3.21 / MAX: 3.54MIN: 3.23 / MAX: 3.7MIN: 3.17 / MAX: 7.41. (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_224321246810Min: 3.25 / Avg: 3.26 / Max: 3.27Min: 3.26 / Avg: 3.27 / Max: 3.29Min: 3.2 / Avg: 3.24 / Max: 3.271. (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-v1-1.03210.8191.6382.4573.2764.095SE +/- 0.009, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 33.6403.6193.625MIN: 3.6 / MAX: 3.82MIN: 3.58 / MAX: 3.79MIN: 3.59 / MAX: 3.841. (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-v1-1.0321246810Min: 3.63 / Avg: 3.64 / Max: 3.66Min: 3.62 / Avg: 3.62 / Max: 3.62Min: 3.62 / Avg: 3.63 / Max: 3.631. (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-v33211020304050SE +/- 0.01, N = 3SE +/- 0.64, N = 3SE +/- 0.63, N = 345.0244.4944.40MIN: 44.87 / MAX: 48.48MIN: 43.1 / MAX: 45.68MIN: 43.04 / MAX: 46.751. (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-v3321918273645Min: 45 / Avg: 45.02 / Max: 45.03Min: 43.21 / Avg: 44.49 / Max: 45.19Min: 43.16 / Avg: 44.4 / Max: 45.151. (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 v232170140210280350SE +/- 0.48, N = 3SE +/- 0.31, N = 3SE +/- 0.70, N = 3313.54314.57314.40MIN: 311.87 / MAX: 315.79MIN: 312.77 / MAX: 316.75MIN: 311.66 / MAX: 316.941. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v232160120180240300Min: 312.59 / Avg: 313.54 / Max: 314.1Min: 314.02 / Avg: 314.57 / Max: 315.1Min: 313.07 / Avg: 314.39 / Max: 315.451. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.132170140210280350SE +/- 0.08, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3300.80300.75300.66MIN: 300.06 / MAX: 301.56MIN: 300.01 / MAX: 301.31MIN: 299.91 / MAX: 301.361. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.132150100150200250Min: 300.68 / Avg: 300.8 / Max: 300.97Min: 300.74 / Avg: 300.75 / Max: 300.76Min: 300.54 / Avg: 300.66 / Max: 300.731. (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 CPU32160120180240300SE +/- 0.17, N = 3SE +/- 0.44, N = 32852862871. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPU32150100150200250Min: 285 / Avg: 285.33 / Max: 285.5Min: 285.5 / Avg: 286.17 / Max: 2871. (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 CPU321100200300400500SE +/- 0.17, N = 3SE +/- 0.60, N = 3SE +/- 1.09, N = 34434434471. (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 CPU32180160240320400Min: 443 / Avg: 443.17 / Max: 443.5Min: 442 / Avg: 443.17 / Max: 444Min: 445 / Avg: 447.17 / Max: 448.51. (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 CPU32111223344554848471. (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 CPU3214K8K12K16K20KSE +/- 7.73, N = 3SE +/- 17.08, N = 3SE +/- 6.65, N = 31654516555165711. (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 CPU3213K6K9K12K15KMin: 16532.5 / Avg: 16544.67 / Max: 16559Min: 16528 / Avg: 16554.67 / Max: 16586.5Min: 16559 / Avg: 16570.83 / Max: 165821. (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 CPU3217001400210028003500SE +/- 14.78, N = 3SE +/- 4.59, N = 3SE +/- 1.26, N = 33373336733991. (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 CPU3216001200180024003000Min: 3344 / Avg: 3373 / Max: 3392.5Min: 3362 / Avg: 3366.83 / Max: 3376Min: 3396.5 / Avg: 3399 / Max: 3400.51. (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 1.2.43217M14M21M28M35MSE +/- 226093.59, N = 3SE +/- 175786.16, N = 3SE +/- 429577.87, N = 33139167731495320314707331. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.43215M10M15M20M25MMin: 30939490 / Avg: 31391676.67 / Max: 31618360Min: 31144290 / Avg: 31495320 / Max: 31687740Min: 30611950 / Avg: 31470733.33 / Max: 319220301. (CXX) g++ options: -O3 -fopenmp