Core i9 10980XE September

Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and NVIDIA NV132 11GB on Ubuntu 20.10 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 2009215-FI-COREI910912
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Core i9 10980XE
September 20 2020
  6 Hours, 20 Minutes
Linux 5.8
September 20 2020
  4 Hours, 3 Minutes
Linux 5.9 Git
September 20 2020
  5 Hours, 49 Minutes
Linux 5.9 Git Repeat
September 20 2020
  4 Hours, 20 Minutes
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  5 Hours, 8 Minutes

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Core i9 10980XE SeptemberOpenBenchmarking.orgPhoronix Test Suite 10.8.4Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads)ASRock X299 Steel Legend (P1.30 BIOS)Intel Sky Lake-E DMI3 Registers32GBSamsung SSD 970 PRO 512GBNVIDIA NV132 11GBRealtek ALC1220ASUS MG28UIntel I219-V + Intel I211Ubuntu 20.105.4.0-42-generic (x86_64)5.8.0-050800-generic (x86_64)5.9.0-050900rc5daily20200920-generic (x86_64) 20200919GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.3 Mesa 20.1.5GCC 10.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelsDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionCore I9 10980XE September BenchmarksSystem Logs- --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-Fb4d6e/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-Fb4d6e/gcc-10-10.2.0/debian/tmp-gcn/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 - Core i9 10980XE: Scaling Governor: intel_pstate performance - CPU Microcode: 0x5002f01 - Linux 5.8: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0x5002f01 - Linux 5.9 Git: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x5002f01 - Linux 5.9 Git Repeat: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x5002f01 - Python 3.8.5- Core i9 10980XE: itlb_multihit: KVM: Mitigation of Split huge pages + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled - Linux 5.8: itlb_multihit: KVM: Mitigation of Split huge pages + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled - Linux 5.9 Git: itlb_multihit: KVM: Mitigation of VMX disabled + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled - Linux 5.9 Git Repeat: itlb_multihit: KVM: Mitigation of VMX disabled + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled

Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git RepeatResult OverviewPhoronix Test Suite 10.8.4100%113%127%140%Incompact3DLAMMPS Molecular Dynamics SimulatorGLmark2AOM AV1Monte Carlo Simulations of Ionised NebulaeMobile Neural NetworkTimed LLVM CompilationSystem GZIP DecompressionKripkeGROMACSNCNNNAMDTensorFlow Lite

Core i9 10980XE Septemberglmark2: 1920 x 1080glmark2: 1920 x 1200glmark2: 2560 x 1440glmark2: 3840 x 2160namd: ATPase Simulation - 327,506 Atomsincompact3d: Cylindermocassin: Dust 2D tau100.0lammps: 20k Atomslammps: Rhodopsin Proteinaom-av1: Speed 0 Two-Passaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimebuild-llvm: Time To Compilesystem-decompress-gzip: gromacs: Water Benchmarktensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - squeezenet_int8ncnn: CPU - mobilenet_v3ncnn: CPU - squeezenetncnn: CPU - mnasnetncnn: CPU - blazefacencnn: CPU - googlenet_int8ncnn: CPU - vgg16_int8ncnn: CPU - resnet18_int8ncnn: CPU - alexnetncnn: CPU - resnet50_int8ncnn: CPU - mobilenetv2_yolov3kripke: Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat5171522891370.97362222.39280218912.57112.3490.302.4422.483.8640.22372.5692.6721.585126930184927311613387404.590053.016386938.27043.4664.9627.35235.32616.185.305.335.462.2544.2186.4317.9211.1570.0217.05345916235174632881370.97313220.62677019012.5768.7690.302.4021.733.8039.77376.9482.7291.582127139185024311651187518.190084.416390478.78746.9405.2267.73237.27915.955.355.425.502.2443.3187.0317.9711.1269.2917.08349964475174642891370.97989337.3340962029.8207.8680.32.2818.223.5533.62385.8672.7241.581128015185649311748887534.390180.716415478.88347.1085.0348.06436.74316.245.515.495.532.2444.2887.2917.9611.1470.1317.03350543105174632881370.97709330.4482012009.8337.8750.32.2718.053.5833.83378.9092.7381.570127955185639711730187552.690189.516428278.96447.0565.2457.16836.84915.775.385.425.552.2543.9288.6417.6110.9369.9917.5435432003OpenBenchmarking.org

GLmark2

This is a test of Linaro's glmark2 port, currently using the X11 OpenGL 2.0 target. GLmark2 is a basic OpenGL benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat110220330440550517517517517

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1200Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat100200300400500152463464463

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 2560 x 1440Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat60120180240300289288289288

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 3840 x 2160Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat306090120150137137137137

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat0.22050.4410.66150.8821.1025SE +/- 0.00131, N = 3SE +/- 0.00152, N = 3SE +/- 0.00289, N = 3SE +/- 0.00192, N = 30.973620.973130.979890.97709
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat246810Min: 0.97 / Avg: 0.97 / Max: 0.98Min: 0.97 / Avg: 0.97 / Max: 0.98Min: 0.97 / Avg: 0.98 / Max: 0.98Min: 0.97 / Avg: 0.98 / Max: 0.98

Incompact3D

Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat70140210280350SE +/- 0.05, N = 3SE +/- 0.69, N = 3SE +/- 4.18, N = 3SE +/- 1.80, N = 3222.39220.63337.33330.451. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat60120180240300Min: 222.3 / Avg: 222.39 / Max: 222.45Min: 219.25 / Avg: 220.63 / Max: 221.42Min: 329.98 / Avg: 337.33 / Max: 344.46Min: 327.03 / Avg: 330.45 / Max: 333.151. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz

Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat4080120160200SE +/- 1.53, N = 3SE +/- 1.33, N = 31891902022001. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat4080120160200Min: 200 / Avg: 202 / Max: 205Min: 199 / Avg: 200.33 / Max: 2031. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz

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 24Aug2020Model: 20k AtomsCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat3691215SE +/- 0.016, N = 3SE +/- 0.010, N = 3SE +/- 0.114, N = 9SE +/- 0.138, N = 312.57112.5769.8209.8331. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat48121620Min: 12.54 / Avg: 12.57 / Max: 12.59Min: 12.56 / Avg: 12.58 / Max: 12.6Min: 9.41 / Avg: 9.82 / Max: 10.41Min: 9.56 / Avg: 9.83 / Max: 101. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat3691215SE +/- 0.009, N = 3SE +/- 0.380, N = 12SE +/- 0.384, N = 12SE +/- 0.489, N = 1212.3498.7697.8687.8751. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat48121620Min: 12.33 / Avg: 12.35 / Max: 12.36Min: 6.92 / Avg: 8.77 / Max: 10.73Min: 4.91 / Avg: 7.87 / Max: 9.42Min: 2.57 / Avg: 7.88 / Max: 8.961. (CXX) g++ options: -O3 -pthread -lm

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat0.06750.1350.20250.270.3375SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.300.300.300.301. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat12345Min: 0.3 / Avg: 0.3 / Max: 0.31Min: 0.3 / Avg: 0.3 / Max: 0.31Min: 0.3 / Avg: 0.3 / Max: 0.3Min: 0.3 / Avg: 0.3 / Max: 0.31. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat0.5491.0981.6472.1962.745SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.442.402.282.271. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat246810Min: 2.44 / Avg: 2.44 / Max: 2.44Min: 2.38 / Avg: 2.4 / Max: 2.41Min: 2.27 / Avg: 2.28 / Max: 2.3Min: 2.25 / Avg: 2.27 / Max: 2.291. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat510152025SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 322.4821.7318.2218.051. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat510152025Min: 22.44 / Avg: 22.48 / Max: 22.52Min: 21.7 / Avg: 21.73 / Max: 21.76Min: 18.18 / Avg: 18.22 / Max: 18.25Min: 17.97 / Avg: 18.05 / Max: 18.161. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat0.86851.7372.60553.4744.3425SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.863.803.553.581. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat246810Min: 3.84 / Avg: 3.86 / Max: 3.87Min: 3.78 / Avg: 3.8 / Max: 3.82Min: 3.54 / Avg: 3.55 / Max: 3.58Min: 3.57 / Avg: 3.58 / Max: 3.591. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat918273645SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 340.2239.7733.6233.831. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat816243240Min: 40.09 / Avg: 40.22 / Max: 40.33Min: 39.67 / Avg: 39.77 / Max: 39.84Min: 33.52 / Avg: 33.62 / Max: 33.7Min: 33.53 / Avg: 33.83 / Max: 34.181. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat80160240320400SE +/- 3.28, N = 3SE +/- 4.57, N = 3SE +/- 2.54, N = 3SE +/- 4.93, N = 3372.57376.95385.87378.91
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat70140210280350Min: 368.54 / Avg: 372.57 / Max: 379.06Min: 367.83 / Avg: 376.95 / Max: 381.87Min: 382.35 / Avg: 385.87 / Max: 390.79Min: 372.48 / Avg: 378.91 / Max: 388.61

System GZIP Decompression

This simple test measures the time to decompress a gzipped tarball (the Qt5 toolkit source package). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat0.61611.23221.84832.46443.0805SE +/- 0.001, N = 3SE +/- 0.022, N = 3SE +/- 0.013, N = 3SE +/- 0.028, N = 32.6722.7292.7242.738
OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat246810Min: 2.67 / Avg: 2.67 / Max: 2.67Min: 2.7 / Avg: 2.73 / Max: 2.77Min: 2.7 / Avg: 2.72 / Max: 2.74Min: 2.69 / Avg: 2.74 / Max: 2.79

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.1Water BenchmarkCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat0.35660.71321.06981.42641.783SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 31.5851.5821.5811.5701. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.1Water BenchmarkCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat246810Min: 1.58 / Avg: 1.58 / Max: 1.59Min: 1.58 / Avg: 1.58 / Max: 1.58Min: 1.58 / Avg: 1.58 / Max: 1.58Min: 1.57 / Avg: 1.57 / Max: 1.571. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat30K60K90K120K150KSE +/- 26.67, N = 3SE +/- 19.34, N = 3SE +/- 87.19, N = 3SE +/- 153.79, N = 3126930127139128015127955
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat20K40K60K80K100KMin: 126893 / Avg: 126930.33 / Max: 126982Min: 127115 / Avg: 127138.67 / Max: 127177Min: 127882 / Avg: 128014.67 / Max: 128179Min: 127747 / Avg: 127954.67 / Max: 128255

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat400K800K1200K1600K2000KSE +/- 197.01, N = 3SE +/- 353.52, N = 3SE +/- 684.11, N = 3SE +/- 338.44, N = 31849273185024318564931856397
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat300K600K900K1200K1500KMin: 1848950 / Avg: 1849273.33 / Max: 1849630Min: 1849550 / Avg: 1850243.33 / Max: 1850710Min: 1855150 / Avg: 1856493.33 / Max: 1857390Min: 1855790 / Avg: 1856396.67 / Max: 1856960

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat30K60K90K120K150KSE +/- 95.45, N = 3SE +/- 71.14, N = 3SE +/- 115.69, N = 3SE +/- 257.79, N = 3116133116511117488117301
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat20K40K60K80K100KMin: 115943 / Avg: 116133 / Max: 116244Min: 116429 / Avg: 116511.33 / Max: 116653Min: 117274 / Avg: 117488.33 / Max: 117671Min: 116898 / Avg: 117301 / Max: 117781

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat20K40K60K80K100KSE +/- 30.46, N = 3SE +/- 40.81, N = 3SE +/- 25.27, N = 3SE +/- 65.52, N = 387404.587518.187534.387552.6
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat15K30K45K60K75KMin: 87344.4 / Avg: 87404.5 / Max: 87443.2Min: 87439.4 / Avg: 87518.1 / Max: 87576.2Min: 87484.4 / Avg: 87534.33 / Max: 87566.1Min: 87430.1 / Avg: 87552.63 / Max: 87654.1

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat20K40K60K80K100KSE +/- 40.49, N = 3SE +/- 43.62, N = 3SE +/- 26.05, N = 3SE +/- 54.74, N = 390053.090084.490180.790189.5
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat16K32K48K64K80KMin: 89973.7 / Avg: 90053.03 / Max: 90106.8Min: 90008.7 / Avg: 90084.43 / Max: 90159.8Min: 90129.7 / Avg: 90180.7 / Max: 90215.4Min: 90081.8 / Avg: 90189.5 / Max: 90260.4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat400K800K1200K1600K2000KSE +/- 291.57, N = 3SE +/- 424.51, N = 3SE +/- 450.42, N = 3SE +/- 733.27, N = 31638693163904716415471642827
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat300K600K900K1200K1500KMin: 1638330 / Avg: 1638693.33 / Max: 1639270Min: 1638300 / Avg: 1639046.67 / Max: 1639770Min: 1640870 / Avg: 1641546.67 / Max: 1642400Min: 1641930 / Avg: 1642826.67 / Max: 1644280

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 2020-09-17Model: SqueezeNetV1.0Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat3691215SE +/- 0.078, N = 15SE +/- 0.105, N = 3SE +/- 0.065, N = 3SE +/- 0.152, N = 38.2708.7878.8838.964MIN: 7.57 / MAX: 11.03MIN: 8.33 / MAX: 9.25MIN: 8.56 / MAX: 9.81MIN: 7.84 / MAX: 10.31. (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 2020-09-17Model: SqueezeNetV1.0Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat3691215Min: 7.79 / Avg: 8.27 / Max: 8.77Min: 8.59 / Avg: 8.79 / Max: 8.96Min: 8.79 / Avg: 8.88 / Max: 9.01Min: 8.68 / Avg: 8.96 / Max: 9.21. (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 2020-09-17Model: resnet-v2-50Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat1122334455SE +/- 0.76, N = 15SE +/- 0.16, N = 3SE +/- 0.24, N = 3SE +/- 0.10, N = 343.4746.9447.1147.06MIN: 39.94 / MAX: 47.52MIN: 46.41 / MAX: 47.6MIN: 40.53 / MAX: 48.94MIN: 46.6 / MAX: 48.561. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat1020304050Min: 40.15 / Avg: 43.47 / Max: 46.79Min: 46.67 / Avg: 46.94 / Max: 47.23Min: 46.74 / Avg: 47.11 / Max: 47.55Min: 46.89 / Avg: 47.06 / Max: 47.241. (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 2020-09-17Model: MobileNetV2_224Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat1.18012.36023.54034.72045.9005SE +/- 0.061, N = 15SE +/- 0.054, N = 3SE +/- 0.124, N = 3SE +/- 0.054, N = 34.9625.2265.0345.245MIN: 4.4 / MAX: 5.62MIN: 4.98 / MAX: 5.63MIN: 4.48 / MAX: 5.62MIN: 4.74 / MAX: 7.511. (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 2020-09-17Model: MobileNetV2_224Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat246810Min: 4.62 / Avg: 4.96 / Max: 5.25Min: 5.12 / Avg: 5.23 / Max: 5.29Min: 4.79 / Avg: 5.03 / Max: 5.21Min: 5.15 / Avg: 5.24 / Max: 5.341. (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 2020-09-17Model: mobilenet-v1-1.0Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat246810SE +/- 0.273, N = 15SE +/- 0.022, N = 3SE +/- 0.030, N = 3SE +/- 0.938, N = 37.3527.7328.0647.168MIN: 5.11 / MAX: 8.29MIN: 7.56 / MAX: 7.97MIN: 7.92 / MAX: 8.58MIN: 5.05 / MAX: 9.71. (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 2020-09-17Model: mobilenet-v1-1.0Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat3691215Min: 5.3 / Avg: 7.35 / Max: 8.09Min: 7.69 / Avg: 7.73 / Max: 7.77Min: 8.02 / Avg: 8.06 / Max: 8.12Min: 5.29 / Avg: 7.17 / Max: 8.181. (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 2020-09-17Model: inception-v3Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat918273645SE +/- 0.31, N = 15SE +/- 0.07, N = 3SE +/- 0.64, N = 3SE +/- 0.59, N = 335.3337.2836.7436.85MIN: 33.38 / MAX: 39.02MIN: 36.74 / MAX: 37.83MIN: 33.49 / MAX: 44.51MIN: 34.01 / MAX: 44.331. (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 2020-09-17Model: inception-v3Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat816243240Min: 33.77 / Avg: 35.33 / Max: 37.24Min: 37.14 / Avg: 37.28 / Max: 37.36Min: 35.48 / Avg: 36.74 / Max: 37.51Min: 35.68 / Avg: 36.85 / Max: 37.491. (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

NCNN

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat48121620SE +/- 0.17, N = 3SE +/- 0.21, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 316.1815.9516.2415.77MIN: 15.78 / MAX: 20.59MIN: 15.2 / MAX: 22.46MIN: 15.78 / MAX: 23.57MIN: 15.24 / MAX: 23.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat48121620Min: 15.98 / Avg: 16.18 / Max: 16.52Min: 15.53 / Avg: 15.95 / Max: 16.17Min: 16.1 / Avg: 16.24 / Max: 16.34Min: 15.55 / Avg: 15.77 / Max: 16.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat1.23982.47963.71944.95926.199SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 35.305.355.515.38MIN: 5.14 / MAX: 6.44MIN: 5.08 / MAX: 5.56MIN: 5.22 / MAX: 5.79MIN: 5.06 / MAX: 6.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat246810Min: 5.22 / Avg: 5.3 / Max: 5.4Min: 5.26 / Avg: 5.35 / Max: 5.44Min: 5.41 / Avg: 5.51 / Max: 5.61Min: 5.33 / Avg: 5.38 / Max: 5.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat1.23532.47063.70594.94126.1765SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 2SE +/- 0.16, N = 35.335.425.495.42MIN: 5.05 / MAX: 6.25MIN: 5.13 / MAX: 5.83MIN: 5.17 / MAX: 6.09MIN: 5.08 / MAX: 6.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat246810Min: 5.16 / Avg: 5.33 / Max: 5.45Min: 5.26 / Avg: 5.42 / Max: 5.63Min: 5.42 / Avg: 5.49 / Max: 5.56Min: 5.15 / Avg: 5.42 / Max: 5.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat1.24882.49763.74644.99526.244SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 35.465.505.535.55MIN: 5.16 / MAX: 5.85MIN: 5.15 / MAX: 5.74MIN: 5.2 / MAX: 25.11MIN: 5.23 / MAX: 9.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat246810Min: 5.34 / Avg: 5.46 / Max: 5.61Min: 5.44 / Avg: 5.5 / Max: 5.57Min: 5.5 / Avg: 5.53 / Max: 5.58Min: 5.49 / Avg: 5.55 / Max: 5.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat0.50631.01261.51892.02522.5315SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.252.242.242.25MIN: 2.19 / MAX: 2.39MIN: 2.18 / MAX: 2.35MIN: 2.18 / MAX: 2.38MIN: 2.21 / MAX: 2.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat246810Min: 2.23 / Avg: 2.25 / Max: 2.26Min: 2.23 / Avg: 2.24 / Max: 2.24Min: 2.23 / Avg: 2.24 / Max: 2.25Min: 2.24 / Avg: 2.25 / Max: 2.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat1020304050SE +/- 0.16, N = 3SE +/- 0.63, N = 3SE +/- 0.22, N = 3SE +/- 0.30, N = 344.2143.3144.2843.92MIN: 43.28 / MAX: 49.67MIN: 41.59 / MAX: 47.9MIN: 43.49 / MAX: 46.16MIN: 42.96 / MAX: 49.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat918273645Min: 43.9 / Avg: 44.21 / Max: 44.44Min: 42.06 / Avg: 43.31 / Max: 43.98Min: 43.91 / Avg: 44.28 / Max: 44.67Min: 43.37 / Avg: 43.92 / Max: 44.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat20406080100SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 386.4387.0387.2988.64MIN: 86.14 / MAX: 102.09MIN: 86.57 / MAX: 99.5MIN: 86.41 / MAX: 90.55MIN: 88.16 / MAX: 103.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat20406080100Min: 86.31 / Avg: 86.43 / Max: 86.49Min: 86.79 / Avg: 87.03 / Max: 87.24Min: 87.18 / Avg: 87.29 / Max: 87.36Min: 88.51 / Avg: 88.64 / Max: 88.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat48121620SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.35, N = 317.9217.9717.9617.61MIN: 17.77 / MAX: 18.88MIN: 17.83 / MAX: 32.72MIN: 17.78 / MAX: 21.1MIN: 16.76 / MAX: 18.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat510152025Min: 17.86 / Avg: 17.92 / Max: 17.98Min: 17.93 / Avg: 17.97 / Max: 18.05Min: 17.87 / Avg: 17.96 / Max: 18.01Min: 16.92 / Avg: 17.61 / Max: 17.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat3691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.22, N = 311.1511.1211.1410.93MIN: 11.1 / MAX: 11.46MIN: 11.02 / MAX: 13.57MIN: 11.06 / MAX: 11.27MIN: 10.45 / MAX: 121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetCore i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat3691215Min: 11.14 / Avg: 11.15 / Max: 11.17Min: 11.09 / Avg: 11.12 / Max: 11.15Min: 11.13 / Avg: 11.14 / Max: 11.15Min: 10.5 / Avg: 10.93 / Max: 11.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat1632486480SE +/- 0.08, N = 3SE +/- 0.64, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 370.0269.2970.1369.99MIN: 67.88 / MAX: 89.23MIN: 67.52 / MAX: 94.04MIN: 69.4 / MAX: 106.11MIN: 69.41 / MAX: 73.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat1428425670Min: 69.94 / Avg: 70.02 / Max: 70.17Min: 68.01 / Avg: 69.29 / Max: 70.02Min: 69.99 / Avg: 70.13 / Max: 70.39Min: 69.93 / Avg: 69.99 / Max: 70.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat48121620SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.29, N = 317.0517.0817.0317.54MIN: 16.84 / MAX: 33.2MIN: 16.91 / MAX: 29.12MIN: 16.81 / MAX: 17.34MIN: 16.9 / MAX: 18.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat48121620Min: 16.97 / Avg: 17.05 / Max: 17.18Min: 17.03 / Avg: 17.08 / Max: 17.12Min: 16.93 / Avg: 17.03 / Max: 17.19Min: 17.01 / Avg: 17.54 / Max: 17.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 1.2.4Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat8M16M24M32M40MSE +/- 19431.85, N = 3SE +/- 77529.92, N = 3SE +/- 51048.15, N = 3SE +/- 9460.07, N = 3345916233499644735054310354320031. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Core i9 10980XELinux 5.8Linux 5.9 GitLinux 5.9 Git Repeat6M12M18M24M30MMin: 34569340 / Avg: 34591623.33 / Max: 34630340Min: 34895660 / Avg: 34996446.67 / Max: 35148890Min: 34952230 / Avg: 35054310 / Max: 35106930Min: 35413160 / Avg: 35432003.33 / Max: 354429001. (CXX) g++ options: -O3 -fopenmp