Core i3 8100

Intel Core i3-8100 testing with a ASRock Z370M-ITX/ac (P4.10 BIOS) and Intel 8th Gen Core Gaussian Mixture Model 3GB 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 2009216-FI-COREI381010
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Core i3 8100
September 20 2020
  8 Hours, 8 Minutes
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September 20 2020
  8 Hours, 5 Minutes
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September 21 2020
  8 Hours, 7 Minutes
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Core i3 8100OpenBenchmarking.orgPhoronix Test SuiteIntel Core i3-8100 @ 3.60GHz (4 Cores)ASRock Z370M-ITX/ac (P4.10 BIOS)Intel 8th Gen Core 4-core Desktop8GB60GB DREVO X1 SSDIntel 8th Gen Core Gaussian Mixture Model 3GB (1100MHz)Realtek ALC892VA2431Intel I219-V + Intel I211 + Intel Dual Band-AC 3168NGWUbuntu 20.045.9.0-050900rc1daily20200819-generic (x86_64) 20200818GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.8GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionCore I3 8100 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++,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 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6- Python 3.8.2- 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: Mitigation of Microcode + tsx_async_abort: Not affected

Core i3 8100Run 2Run 3Result OverviewPhoronix Test Suite100%100%101%101%102%GLmark2GROMACSIncompact3DLAMMPS Molecular Dynamics SimulatorNAMDMonte Carlo Simulations of Ionised NebulaeZstd CompressionLeelaChessZeroMobile Neural NetworkNCNNAOM AV1System GZIP DecompressionTensorFlow Lite

Core i3 8100glmark2: 800 x 600glmark2: 1024 x 768glmark2: 1280 x 1024glmark2: 1920 x 1080lczero: BLASlczero: Eigennamd: ATPase Simulation - 327,506 Atomsincompact3d: Cylindermocassin: Dust 2D tau100.0lammps: 20k Atomslammps: Rhodopsin Proteincompress-zstd: 3compress-zstd: 19aom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimesystem-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_yolov3Core i3 8100Run 2Run 3251014118225609348994.57528756.1545413022.7882.7592651.318.01.7714.022.8334.363.5590.523497533716679336082433847934664964912537.70333.5224.4295.71644.00618.856.294.396.491.6752.60248.6136.2923.20113.3928.11250214058175599318974.56978752.3958743012.8082.7652636.918.01.7714.022.8334.533.5570.519497461716657736091433857734685564892537.66833.3614.4235.73443.74718.856.264.386.491.6652.56247.3336.3423.12113.2428.14250613398125599329004.58590753.0392863022.7942.7422636.718.11.7714.022.8334.323.5550.515497451716790736089733861034690364910577.67633.3884.4225.74743.91618.846.254.366.471.6752.55250.0436.2823.17113.2728.19OpenBenchmarking.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: 800 x 600Run 3Run 2Core i3 81005001000150020002500250625022510

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1024 x 768Run 3Run 2Core i3 810030060090012001500133914051411

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1280 x 1024Run 3Run 2Core i3 81002004006008001000812817822

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Run 3Run 2Core i3 8100120240360480600559559560

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASRun 3Run 2Core i3 81002004006008001000SE +/- 2.33, N = 3SE +/- 4.48, N = 3SE +/- 2.03, N = 39329319341. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASRun 3Run 2Core i3 8100160320480640800Min: 927 / Avg: 931.67 / Max: 934Min: 922 / Avg: 930.67 / Max: 937Min: 931 / Avg: 934.33 / Max: 9381. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenRun 3Run 2Core i3 81002004006008001000SE +/- 6.44, N = 3SE +/- 6.96, N = 3SE +/- 4.67, N = 39008978991. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenRun 3Run 2Core i3 8100160320480640800Min: 887 / Avg: 899.67 / Max: 908Min: 886 / Avg: 897.33 / Max: 910Min: 890 / Avg: 899.33 / Max: 9041. (CXX) g++ options: -flto -pthread

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 AtomsRun 3Run 2Core i3 81001.03182.06363.09544.12725.159SE +/- 0.01918, N = 3SE +/- 0.00298, N = 3SE +/- 0.00977, N = 34.585904.569784.57528
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsRun 3Run 2Core i3 8100246810Min: 4.57 / Avg: 4.59 / Max: 4.62Min: 4.56 / Avg: 4.57 / Max: 4.58Min: 4.56 / Avg: 4.58 / Max: 4.59

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: CylinderRun 3Run 2Core i3 8100160320480640800SE +/- 0.85, N = 3SE +/- 0.42, N = 3SE +/- 6.92, N = 3753.04752.40756.151. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderRun 3Run 2Core i3 8100130260390520650Min: 751.99 / Avg: 753.04 / Max: 754.72Min: 751.63 / Avg: 752.4 / Max: 753.07Min: 747.04 / Avg: 756.15 / Max: 769.741. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 tau100.0Run 3Run 2Core i3 810070140210280350SE +/- 0.58, N = 3SE +/- 0.58, N = 33023013021. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Run 3Run 2Core i3 810050100150200250Min: 301 / Avg: 302 / Max: 303Min: 301 / Avg: 302 / Max: 3031. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 AtomsRun 3Run 2Core i3 81000.63181.26361.89542.52723.159SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 32.7942.8082.7881. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsRun 3Run 2Core i3 8100246810Min: 2.79 / Avg: 2.79 / Max: 2.8Min: 2.8 / Avg: 2.81 / Max: 2.82Min: 2.78 / Avg: 2.79 / Max: 2.791. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinRun 3Run 2Core i3 81000.62211.24421.86632.48843.1105SE +/- 0.007, N = 3SE +/- 0.008, N = 3SE +/- 0.007, N = 32.7422.7652.7591. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinRun 3Run 2Core i3 8100246810Min: 2.73 / Avg: 2.74 / Max: 2.76Min: 2.75 / Avg: 2.76 / Max: 2.78Min: 2.74 / Avg: 2.76 / Max: 2.771. (CXX) g++ options: -O3 -pthread -lm

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Run 3Run 2Core i3 81006001200180024003000SE +/- 8.57, N = 3SE +/- 8.16, N = 3SE +/- 2.77, N = 32636.72636.92651.31. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Run 3Run 2Core i3 81005001000150020002500Min: 2620.7 / Avg: 2636.73 / Max: 2650Min: 2625.2 / Avg: 2636.9 / Max: 2652.6Min: 2647.2 / Avg: 2651.33 / Max: 2656.61. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Run 3Run 2Core i3 810048121620SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 318.118.018.01. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Run 3Run 2Core i3 8100510152025Min: 18 / Avg: 18.07 / Max: 18.1Min: 17.9 / Avg: 18.03 / Max: 18.1Min: 17.7 / Avg: 18 / Max: 18.21. (CC) gcc options: -O3 -pthread -lz -llzma

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 4 Two-PassRun 3Run 2Core i3 81000.39830.79661.19491.59321.9915SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.771.771.771. (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-PassRun 3Run 2Core i3 8100246810Min: 1.76 / Avg: 1.77 / Max: 1.77Min: 1.77 / Avg: 1.77 / Max: 1.77Min: 1.76 / Avg: 1.77 / Max: 1.771. (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 RealtimeRun 3Run 2Core i3 810048121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 314.0214.0214.021. (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 RealtimeRun 3Run 2Core i3 810048121620Min: 13.99 / Avg: 14.02 / Max: 14.04Min: 13.99 / Avg: 14.02 / Max: 14.05Min: 14 / Avg: 14.02 / Max: 14.071. (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-PassRun 3Run 2Core i3 81000.63681.27361.91042.54723.184SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.832.832.831. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassRun 3Run 2Core i3 8100246810Min: 2.82 / Avg: 2.83 / Max: 2.83Min: 2.83 / Avg: 2.83 / Max: 2.83Min: 2.83 / Avg: 2.83 / Max: 2.831. (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 RealtimeRun 3Run 2Core i3 8100816243240SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 334.3234.5334.361. (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 RealtimeRun 3Run 2Core i3 8100714212835Min: 34.27 / Avg: 34.32 / Max: 34.4Min: 34.48 / Avg: 34.53 / Max: 34.61Min: 34.25 / Avg: 34.36 / Max: 34.451. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

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 DecompressionRun 3Run 2Core i3 81000.80081.60162.40243.20324.004SE +/- 0.030, N = 13SE +/- 0.029, N = 13SE +/- 0.034, N = 143.5553.5573.559
OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionRun 3Run 2Core i3 8100246810Min: 3.52 / Avg: 3.55 / Max: 3.91Min: 3.52 / Avg: 3.56 / Max: 3.9Min: 3.52 / Avg: 3.56 / Max: 4

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 BenchmarkRun 3Run 2Core i3 81000.11770.23540.35310.47080.5885SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 30.5150.5190.5231. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.1Water BenchmarkRun 3Run 2Core i3 8100246810Min: 0.5 / Avg: 0.51 / Max: 0.52Min: 0.51 / Avg: 0.52 / Max: 0.52Min: 0.52 / Avg: 0.52 / Max: 0.521. (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: SqueezeNetRun 3Run 2Core i3 8100110K220K330K440K550KSE +/- 3.18, N = 3SE +/- 55.05, N = 3SE +/- 70.70, N = 3497451497461497533
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRun 3Run 2Core i3 810090K180K270K360K450KMin: 497446 / Avg: 497451.33 / Max: 497457Min: 497402 / Avg: 497461 / Max: 497571Min: 497441 / Avg: 497533 / Max: 497672

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Run 3Run 2Core i3 81001.5M3M4.5M6M7.5MSE +/- 688.02, N = 3SE +/- 460.95, N = 3SE +/- 163.74, N = 3716790771665777166793
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Run 3Run 2Core i3 81001.2M2.4M3.6M4.8M6MMin: 7166680 / Avg: 7167906.67 / Max: 7169060Min: 7165720 / Avg: 7166576.67 / Max: 7167300Min: 7166470 / Avg: 7166793.33 / Max: 7167000

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRun 3Run 2Core i3 810080K160K240K320K400KSE +/- 39.84, N = 3SE +/- 66.67, N = 3SE +/- 59.53, N = 3360897360914360824
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRun 3Run 2Core i3 810060K120K180K240K300KMin: 360828 / Avg: 360897 / Max: 360966Min: 360783 / Avg: 360914 / Max: 361001Min: 360761 / Avg: 360824 / Max: 360943

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRun 3Run 2Core i3 810070K140K210K280K350KSE +/- 41.03, N = 3SE +/- 40.17, N = 3SE +/- 56.98, N = 3338610338577338479
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRun 3Run 2Core i3 810060K120K180K240K300KMin: 338534 / Avg: 338609.67 / Max: 338675Min: 338498 / Avg: 338577.33 / Max: 338628Min: 338373 / Avg: 338479.33 / Max: 338568

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRun 3Run 2Core i3 810070K140K210K280K350KSE +/- 34.84, N = 3SE +/- 43.64, N = 3SE +/- 59.58, N = 3346903346855346649
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRun 3Run 2Core i3 810060K120K180K240K300KMin: 346862 / Avg: 346902.67 / Max: 346972Min: 346771 / Avg: 346854.67 / Max: 346918Min: 346542 / Avg: 346648.67 / Max: 346748

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Run 3Run 2Core i3 81001.4M2.8M4.2M5.6M7MSE +/- 1350.19, N = 3SE +/- 520.97, N = 3SE +/- 864.14, N = 3649105764892536491253
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Run 3Run 2Core i3 81001.1M2.2M3.3M4.4M5.5MMin: 6488420 / Avg: 6491056.67 / Max: 6492880Min: 6488470 / Avg: 6489253.33 / Max: 6490240Min: 6489800 / Avg: 6491253.33 / Max: 6492790

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: SqueezeNetV1.0Run 3Run 2Core i3 8100246810SE +/- 0.012, N = 3SE +/- 0.032, N = 3SE +/- 0.017, N = 37.6767.6687.703MIN: 7.6 / MAX: 19.41MIN: 7.57 / MAX: 39.61MIN: 7.62 / MAX: 17.921. (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: SqueezeNetV1.0Run 3Run 2Core i3 81003691215Min: 7.66 / Avg: 7.68 / Max: 7.7Min: 7.61 / Avg: 7.67 / Max: 7.71Min: 7.68 / Avg: 7.7 / Max: 7.741. (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-v2-50Run 3Run 2Core i3 8100816243240SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 333.3933.3633.52MIN: 33.25 / MAX: 44.08MIN: 33.21 / MAX: 51.97MIN: 33.33 / MAX: 116.321. (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-v2-50Run 3Run 2Core i3 8100714212835Min: 33.34 / Avg: 33.39 / Max: 33.47Min: 33.32 / Avg: 33.36 / Max: 33.4Min: 33.47 / Avg: 33.52 / Max: 33.571. (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_224Run 3Run 2Core i3 81000.99651.9932.98953.9864.9825SE +/- 0.007, N = 3SE +/- 0.005, N = 3SE +/- 0.008, N = 34.4224.4234.429MIN: 4.36 / MAX: 5.08MIN: 4.36 / MAX: 15.12MIN: 4.35 / MAX: 15.131. (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_224Run 3Run 2Core i3 8100246810Min: 4.41 / Avg: 4.42 / Max: 4.43Min: 4.42 / Avg: 4.42 / Max: 4.43Min: 4.42 / Avg: 4.43 / Max: 4.451. (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-v1-1.0Run 3Run 2Core i3 81001.29312.58623.87935.17246.4655SE +/- 0.020, N = 3SE +/- 0.013, N = 3SE +/- 0.008, N = 35.7475.7345.716MIN: 5.66 / MAX: 8.54MIN: 5.65 / MAX: 8.5MIN: 5.65 / MAX: 7.161. (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-v1-1.0Run 3Run 2Core i3 8100246810Min: 5.71 / Avg: 5.75 / Max: 5.77Min: 5.71 / Avg: 5.73 / Max: 5.75Min: 5.71 / Avg: 5.72 / Max: 5.731. (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-v3Run 3Run 2Core i3 81001020304050SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 343.9243.7544.01MIN: 43.79 / MAX: 54.67MIN: 43.55 / MAX: 53.26MIN: 43.78 / MAX: 54.911. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Run 3Run 2Core i3 8100918273645Min: 43.89 / Avg: 43.92 / Max: 43.96Min: 43.68 / Avg: 43.75 / Max: 43.79Min: 43.9 / Avg: 44.01 / Max: 44.071. (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_int8Run 3Run 2Core i3 8100510152025SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 318.8418.8518.85MIN: 18.73 / MAX: 20.56MIN: 18.76 / MAX: 20.26MIN: 18.74 / MAX: 21.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Run 3Run 2Core i3 8100510152025Min: 18.82 / Avg: 18.84 / Max: 18.85Min: 18.84 / Avg: 18.85 / Max: 18.85Min: 18.79 / Avg: 18.85 / Max: 18.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Run 3Run 2Core i3 8100246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 36.256.266.29MIN: 6.19 / MAX: 7.16MIN: 6.21 / MAX: 7.64MIN: 6.23 / MAX: 7.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Run 3Run 2Core i3 81003691215Min: 6.22 / Avg: 6.25 / Max: 6.3Min: 6.24 / Avg: 6.26 / Max: 6.28Min: 6.26 / Avg: 6.29 / Max: 6.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRun 3Run 2Core i3 81000.98781.97562.96343.95124.939SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.364.384.39MIN: 4.34 / MAX: 4.48MIN: 4.34 / MAX: 5.17MIN: 4.35 / MAX: 4.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRun 3Run 2Core i3 8100246810Min: 4.36 / Avg: 4.36 / Max: 4.37Min: 4.36 / Avg: 4.38 / Max: 4.4Min: 4.37 / Avg: 4.39 / Max: 4.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetRun 3Run 2Core i3 8100246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.476.496.49MIN: 6.44 / MAX: 7.38MIN: 6.45 / MAX: 8.11MIN: 6.46 / MAX: 7.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetRun 3Run 2Core i3 81003691215Min: 6.47 / Avg: 6.47 / Max: 6.48Min: 6.47 / Avg: 6.49 / Max: 6.5Min: 6.48 / Avg: 6.49 / Max: 6.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceRun 3Run 2Core i3 81000.37580.75161.12741.50321.879SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.671.661.67MIN: 1.63 / MAX: 1.7MIN: 1.63 / MAX: 1.86MIN: 1.64 / MAX: 5.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceRun 3Run 2Core i3 8100246810Min: 1.65 / Avg: 1.67 / Max: 1.68Min: 1.65 / Avg: 1.66 / Max: 1.68Min: 1.66 / Avg: 1.67 / Max: 1.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Run 3Run 2Core i3 81001224364860SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 352.5552.5652.60MIN: 52.43 / MAX: 63.33MIN: 52.4 / MAX: 63.22MIN: 52.42 / MAX: 62.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Run 3Run 2Core i3 81001122334455Min: 52.54 / Avg: 52.55 / Max: 52.56Min: 52.49 / Avg: 52.56 / Max: 52.6Min: 52.56 / Avg: 52.6 / Max: 52.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Run 3Run 2Core i3 810050100150200250SE +/- 1.03, N = 3SE +/- 0.40, N = 3SE +/- 1.04, N = 3250.04247.33248.61MIN: 248.5 / MAX: 263.91MIN: 246.09 / MAX: 279.38MIN: 246.61 / MAX: 261.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Run 3Run 2Core i3 810050100150200250Min: 248.92 / Avg: 250.04 / Max: 252.09Min: 246.8 / Avg: 247.33 / Max: 248.11Min: 247.01 / Avg: 248.61 / Max: 250.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Run 3Run 2Core i3 8100816243240SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 336.2836.3436.29MIN: 36.2 / MAX: 37.52MIN: 36.17 / MAX: 43.61MIN: 36.2 / MAX: 37.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Run 3Run 2Core i3 8100816243240Min: 36.26 / Avg: 36.28 / Max: 36.3Min: 36.27 / Avg: 36.34 / Max: 36.43Min: 36.28 / Avg: 36.29 / Max: 36.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRun 3Run 2Core i3 8100612182430SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 323.1723.1223.20MIN: 23.09 / MAX: 33.25MIN: 23.06 / MAX: 23.97MIN: 23.13 / MAX: 31.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRun 3Run 2Core i3 8100510152025Min: 23.13 / Avg: 23.17 / Max: 23.21Min: 23.11 / Avg: 23.12 / Max: 23.15Min: 23.17 / Avg: 23.2 / Max: 23.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Run 3Run 2Core i3 8100306090120150SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3113.27113.24113.39MIN: 112.89 / MAX: 124.14MIN: 112.99 / MAX: 123.9MIN: 113.07 / MAX: 121.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Run 3Run 2Core i3 810020406080100Min: 113.17 / Avg: 113.27 / Max: 113.41Min: 113.21 / Avg: 113.24 / Max: 113.27Min: 113.23 / Avg: 113.39 / Max: 113.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Run 3Run 2Core i3 8100714212835SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 328.1928.1428.11MIN: 28.06 / MAX: 31.86MIN: 27.99 / MAX: 37.97MIN: 27.97 / MAX: 30.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Run 3Run 2Core i3 8100612182430Min: 28.13 / Avg: 28.19 / Max: 28.22Min: 28.04 / Avg: 28.14 / Max: 28.19Min: 28.04 / Avg: 28.11 / Max: 28.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread