clear 2020

Intel Core i7-8086K testing with a ASUS PRIME Z370-A (1802 BIOS) and ASUS Intel UHD 630 3GB on Clear Linux OS 32480 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 2010085-PTS-CLEAR20216
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clear 2020ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen Resolution123Intel Core i7-8086K @ 5.00GHz (6 Cores / 12 Threads)ASUS PRIME Z370-A (1802 BIOS)Intel 8th Gen Core8GB118GB INTEL SSDPEK1W120GAASUS Intel UHD 630 3GB (1200MHz)Realtek ALC1220G237HLIntel I219-VClear Linux OS 324805.5.6-914.native (x86_64)GNOME Shell 3.34.3X Server 1.20.7modesetting 1.20.74.6 Mesa 20.1.0-develOpenCL 2.11.2.131GCC 9.2.1 20200224 gcc_9_2_0_release-659-gf9be6e10c9 + Clang 9.0.1 + LLVM 9.0.1ext41920x1080OpenBenchmarking.orgEnvironment Details- CFFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -malign-data=abi -fno-semantic-interposition -ftree-vectorize -ftree-loop-vectorize -Wl,-sort-common -Wl,--enable-new-dtags" FFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -malign-data=abi -fno-semantic-interposition -ftree-vectorize -ftree-loop-vectorize -Wl,--enable-new-dtags -Wa,-mbranches-within-32B-boundaries" CXXFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -Wformat -Wformat-security -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -fno-semantic-interposition -ffat-lto-objects -fno-trapping-math -Wl,-sort-common -Wl,--enable-new-dtags -mtune=skylake -Wa,-mbranches-within-32B-boundaries -fvisibility-inlines-hidden -Wl,--enable-new-dtags" MESA_GLSL_CACHE_DISABLE=0 CFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -Wformat -Wformat-security -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -fno-semantic-interposition -ffat-lto-objects -fno-trapping-math -Wl,-sort-common -Wl,--enable-new-dtags -mtune=skylake -Wa,-mbranches-within-32B-boundaries" THEANO_FLAGS="floatX=float32,openmp=true,gcc.cxxflags="-ftree-vectorize -mavx"" Compiler Details- --build=x86_64-generic-linux --disable-libmpx --disable-libunwind-exceptions --disable-multiarch --disable-vtable-verify --disable-werror --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-clocale=gnu --enable-default-pie --enable-gnu-indirect-function --enable-languages=c,c++,fortran,go --enable-ld=default --enable-libstdcxx-pch --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --exec-prefix=/usr --includedir=/usr/include --target=x86_64-generic-linux --with-arch=westmere --with-gcc-major-version-only --with-glibc-version=2.19 --with-gnu-ld --with-isl --with-ppl=yes --with-tune=haswell Processor Details- Scaling Governor: intel_pstate performance - CPU Microcode: 0xcaPython Details- Python 3.8.1Security Details- itlb_multihit: KVM: Mitigation of Split huge pages + 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 + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

123Result OverviewPhoronix Test Suite100%101%101%102%102%GLmark2RealSR-NCNNMlpack BenchmarkFFTEMobile Neural NetworkKeyDBLAMMPS Molecular Dynamics SimulatorMonte Carlo Simulations of Ionised NebulaeIncompact3DeSpeak-NG Speech EngineGROMACSBYTE Unix BenchmarkDolfynLibRawNCNNTNNHierarchical INTegrationWebP Image EncodeRNNoiseNAMD

clear 2020realsr-ncnn: 4x - Noglmark2: 1920 x 1080namd: ATPase Simulation - 327,506 Atomsdolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routineincompact3d: Cylindermocassin: Dust 2D tau100.0lammps: Rhodopsin Proteinwebp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionbyte: Dhrystone 2libraw: Post-Processing Benchmarkespeak: Text-To-Speech Synthesisrnnoise: keydb: gromacs: Water Benchmarkmnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinytnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1hint: FLOATmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregression123251.3916102.1817516.75524505.444249323149.4961192105.0811.2251.96713.2985.85829.23164062832.153.5424.38720.290546805.670.7986.45637.4673.8816.21542.94015.6019.895.664.473.504.417.391.4215.0470.4414.7716.1830.8428.2015.7220.105.654.533.454.427.421.4115.0270.6014.7316.1731.0528.18283.192267.344491552123.1090633.6464.6220.782.46250.2346232.1811616.80924309.548365919148.3842422105.1261.2261.96313.2965.85229.33163797422.553.3124.31220.303546086.820.7966.45737.5933.9256.27743.44615.7319.925.734.593.494.447.411.4015.1170.5414.6916.2430.9828.2915.6719.855.734.563.524.437.391.4315.1570.3814.7016.2031.0128.31282.238267.783491707769.6476533.18253.5616152.1803416.71324629.726810754149.2429912125.0991.2291.96213.3075.85529.43163681103.053.5824.46520.297550939.610.8016.48337.8183.9296.24943.50915.7319.995.694.543.444.437.451.4115.1770.7114.7016.2131.1528.1915.7820.055.684.503.464.427.451.3915.1970.9014.7616.2031.0728.19281.362267.726490960412.2968633.18OpenBenchmarking.org

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No12360120180240300SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 2.71, N = 9251.39250.23253.56
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No12350100150200250Min: 251.22 / Avg: 251.39 / Max: 251.69Min: 249.9 / Avg: 250.23 / Max: 250.6Min: 250.3 / Avg: 253.56 / Max: 275.23

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 1080123130260390520650610623615

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 Atoms1230.49090.98181.47271.96362.4545SE +/- 0.00377, N = 3SE +/- 0.00087, N = 3SE +/- 0.00439, N = 32.181752.181162.18034
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms123246810Min: 2.17 / Avg: 2.18 / Max: 2.19Min: 2.18 / Avg: 2.18 / Max: 2.18Min: 2.17 / Avg: 2.18 / Max: 2.19

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics12348121620SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 316.7616.8116.71
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics12348121620Min: 16.69 / Avg: 16.76 / Max: 16.82Min: 16.72 / Avg: 16.81 / Max: 16.91Min: 16.68 / Avg: 16.71 / Max: 16.73

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1235K10K15K20K25KSE +/- 138.49, N = 3SE +/- 142.01, N = 3SE +/- 181.96, N = 324505.4424309.5524629.731. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1234K8K12K16K20KMin: 24257.76 / Avg: 24505.44 / Max: 24736.67Min: 24160.84 / Avg: 24309.55 / Max: 24593.47Min: 24447.31 / Avg: 24629.73 / Max: 24993.651. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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: Cylinder123306090120150SE +/- 0.12, N = 3SE +/- 0.32, N = 3SE +/- 0.25, N = 3149.50148.38149.241. (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: Cylinder123306090120150Min: 149.33 / Avg: 149.5 / Max: 149.72Min: 147.86 / Avg: 148.38 / Max: 148.96Min: 148.99 / Avg: 149.24 / Max: 149.741. (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 tau100.012350100150200250SE +/- 1.33, N = 32102102121. (F9X) gfortran options: -O3 -pipe -fexceptions -fstack-protector -m64 -malign-data=abi -ftree-vectorize -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.01234080120160200Min: 209 / Avg: 211.67 / Max: 2131. (F9X) gfortran options: -O3 -pipe -fexceptions -fstack-protector -m64 -malign-data=abi -ftree-vectorize -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -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: Rhodopsin Protein1231.15342.30683.46024.61365.767SE +/- 0.008, N = 3SE +/- 0.016, N = 3SE +/- 0.008, N = 35.0815.1265.0991. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin Protein123246810Min: 5.07 / Avg: 5.08 / Max: 5.1Min: 5.1 / Avg: 5.13 / Max: 5.16Min: 5.09 / Avg: 5.1 / Max: 5.121. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default1230.27650.5530.82951.1061.3825SE +/- 0.002, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 31.2251.2261.2291. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default123246810Min: 1.22 / Avg: 1.23 / Max: 1.23Min: 1.23 / Avg: 1.23 / Max: 1.23Min: 1.23 / Avg: 1.23 / Max: 1.231. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 1001230.44260.88521.32781.77042.213SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 31.9671.9631.9621. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100123246810Min: 1.96 / Avg: 1.97 / Max: 1.97Min: 1.96 / Avg: 1.96 / Max: 1.97Min: 1.96 / Avg: 1.96 / Max: 1.971. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless1233691215SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 313.3013.3013.311. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless12348121620Min: 13.29 / Avg: 13.3 / Max: 13.31Min: 13.25 / Avg: 13.3 / Max: 13.34Min: 13.31 / Avg: 13.31 / Max: 13.311. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression1231.31812.63623.95435.27246.5905SE +/- 0.008, N = 3SE +/- 0.004, N = 3SE +/- 0.018, N = 35.8585.8525.8551. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression123246810Min: 5.84 / Avg: 5.86 / Max: 5.87Min: 5.85 / Avg: 5.85 / Max: 5.86Min: 5.84 / Avg: 5.86 / Max: 5.891. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression123714212835SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 329.2329.3329.431. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression123714212835Min: 29.05 / Avg: 29.23 / Max: 29.34Min: 29.23 / Avg: 29.33 / Max: 29.44Min: 29.37 / Avg: 29.43 / Max: 29.51. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 212314M28M42M56M70MSE +/- 241151.79, N = 3SE +/- 219294.42, N = 3SE +/- 107926.00, N = 364062832.163797422.563681103.01. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 212311M22M33M44M55MMin: 63580552.3 / Avg: 64062832.07 / Max: 64308122.7Min: 63551293.7 / Avg: 63797422.53 / Max: 64234868.2Min: 63465322.6 / Avg: 63681102.97 / Max: 63793808.41. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark1231224364860SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 353.5453.3153.581. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -fopenmp -ljpeg -lz -llcms2 -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark1231122334455Min: 53.51 / Avg: 53.54 / Max: 53.58Min: 53.17 / Avg: 53.31 / Max: 53.39Min: 53.49 / Avg: 53.58 / Max: 53.641. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -fopenmp -ljpeg -lz -llcms2 -lm

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123612182430SE +/- 0.14, N = 4SE +/- 0.08, N = 4SE +/- 0.09, N = 424.3924.3124.471. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c99 -lpthread -lm
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123612182430Min: 24 / Avg: 24.39 / Max: 24.68Min: 24.15 / Avg: 24.31 / Max: 24.55Min: 24.3 / Avg: 24.46 / Max: 24.661. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c99 -lpthread -lm

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123510152025SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 320.2920.3020.301. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pedantic -fvisibility=hidden -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123510152025Min: 20.22 / Avg: 20.29 / Max: 20.36Min: 20.27 / Avg: 20.3 / Max: 20.35Min: 20.27 / Avg: 20.3 / Max: 20.351. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pedantic -fvisibility=hidden -lm

KeyDB

A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16123120K240K360K480K600KSE +/- 1135.05, N = 3SE +/- 3582.72, N = 3SE +/- 848.99, N = 3546805.67546086.82550939.611. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16123100K200K300K400K500KMin: 544648.26 / Avg: 546805.67 / Max: 548496.12Min: 538990.58 / Avg: 546086.82 / Max: 550495.32Min: 549405.31 / Avg: 550939.61 / Max: 552336.671. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 2020.3Water Benchmark1230.18020.36040.54060.72080.901SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 30.7980.7960.8011. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark123246810Min: 0.79 / Avg: 0.8 / Max: 0.8Min: 0.79 / Avg: 0.8 / Max: 0.8Min: 0.8 / Avg: 0.8 / Max: 0.81. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lrt -lpthread -lm

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: SqueezeNetV1.0123246810SE +/- 0.076, N = 3SE +/- 0.047, N = 3SE +/- 0.011, N = 36.4566.4576.483MIN: 6.31 / MAX: 6.72MIN: 6.35 / MAX: 12.67MIN: 6.39 / MAX: 19.291. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -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: SqueezeNetV1.01233691215Min: 6.38 / Avg: 6.46 / Max: 6.61Min: 6.4 / Avg: 6.46 / Max: 6.55Min: 6.46 / Avg: 6.48 / Max: 6.51. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -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-v2-50123918273645SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 337.4737.5937.82MIN: 37.22 / MAX: 51.81MIN: 35.23 / MAX: 52.39MIN: 37.54 / MAX: 43.981. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -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-v2-50123816243240Min: 37.41 / Avg: 37.47 / Max: 37.57Min: 37.49 / Avg: 37.59 / Max: 37.74Min: 37.75 / Avg: 37.82 / Max: 37.891. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -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_2241230.8841.7682.6523.5364.42SE +/- 0.012, N = 3SE +/- 0.021, N = 3SE +/- 0.023, N = 33.8813.9253.929MIN: 3.8 / MAX: 10.18MIN: 3.83 / MAX: 6.04MIN: 3.85 / MAX: 16.181. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -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_224123246810Min: 3.86 / Avg: 3.88 / Max: 3.9Min: 3.89 / Avg: 3.93 / Max: 3.97Min: 3.9 / Avg: 3.93 / Max: 3.981. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -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-v1-1.0123246810SE +/- 0.014, N = 3SE +/- 0.021, N = 3SE +/- 0.011, N = 36.2156.2776.249MIN: 6.16 / MAX: 8.64MIN: 6.2 / MAX: 19.01MIN: 6.2 / MAX: 6.671. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -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-v1-1.01233691215Min: 6.2 / Avg: 6.22 / Max: 6.24Min: 6.25 / Avg: 6.28 / Max: 6.32Min: 6.24 / Avg: 6.25 / Max: 6.271. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -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-v31231020304050SE +/- 0.34, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 342.9443.4543.51MIN: 42.13 / MAX: 54.35MIN: 43.15 / MAX: 55.17MIN: 43.29 / MAX: 55.761. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -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-v3123918273645Min: 42.3 / Avg: 42.94 / Max: 43.46Min: 43.31 / Avg: 43.45 / Max: 43.54Min: 43.44 / Avg: 43.51 / Max: 43.621. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet12348121620SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 315.6015.7315.73MIN: 15.43 / MAX: 35.65MIN: 15.43 / MAX: 35.74MIN: 15.54 / MAX: 23.421. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet12348121620Min: 15.59 / Avg: 15.6 / Max: 15.62Min: 15.68 / Avg: 15.73 / Max: 15.79Min: 15.67 / Avg: 15.73 / Max: 15.831. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123510152025SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 319.8919.9219.99MIN: 19.49 / MAX: 27.09MIN: 19.55 / MAX: 32.47MIN: 19.68 / MAX: 32.241. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123510152025Min: 19.78 / Avg: 19.89 / Max: 19.98Min: 19.89 / Avg: 19.92 / Max: 19.95Min: 19.89 / Avg: 19.99 / Max: 20.051. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v21231.28932.57863.86795.15726.4465SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 35.665.735.69MIN: 5.51 / MAX: 12.08MIN: 5.55 / MAX: 12.05MIN: 5.55 / MAX: 10.671. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2123246810Min: 5.64 / Avg: 5.66 / Max: 5.69Min: 5.7 / Avg: 5.73 / Max: 5.78Min: 5.64 / Avg: 5.69 / Max: 5.721. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v31231.03282.06563.09844.13125.164SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 34.474.594.54MIN: 4.41 / MAX: 4.55MIN: 4.48 / MAX: 12.92MIN: 4.42 / MAX: 9.541. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3123246810Min: 4.44 / Avg: 4.47 / Max: 4.5Min: 4.52 / Avg: 4.59 / Max: 4.65Min: 4.46 / Avg: 4.54 / Max: 4.611. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21230.78751.5752.36253.153.9375SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 33.503.493.44MIN: 3.28 / MAX: 19MIN: 3.24 / MAX: 10.97MIN: 3.31 / MAX: 8.521. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2123246810Min: 3.44 / Avg: 3.5 / Max: 3.57Min: 3.46 / Avg: 3.49 / Max: 3.51Min: 3.37 / Avg: 3.44 / Max: 3.511. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1230.9991.9982.9973.9964.995SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 34.414.444.43MIN: 4.32 / MAX: 10.43MIN: 4.31 / MAX: 10.29MIN: 4.29 / MAX: 11.851. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet123246810Min: 4.37 / Avg: 4.41 / Max: 4.48Min: 4.39 / Avg: 4.44 / Max: 4.46Min: 4.36 / Avg: 4.43 / Max: 4.471. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0123246810SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 37.397.417.45MIN: 7.2 / MAX: 14.8MIN: 7.31 / MAX: 12.15MIN: 7.3 / MAX: 14.891. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b01233691215Min: 7.34 / Avg: 7.39 / Max: 7.46Min: 7.36 / Avg: 7.41 / Max: 7.49Min: 7.43 / Avg: 7.45 / Max: 7.461. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1230.31950.6390.95851.2781.5975SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 31.421.401.41MIN: 1.37 / MAX: 8.18MIN: 1.35 / MAX: 1.45MIN: 1.35 / MAX: 6.411. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface123246810Min: 1.4 / Avg: 1.42 / Max: 1.43Min: 1.37 / Avg: 1.4 / Max: 1.42Min: 1.38 / Avg: 1.41 / Max: 1.451. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet12348121620SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 315.0415.1115.17MIN: 14.83 / MAX: 28.22MIN: 14.93 / MAX: 15.26MIN: 14.9 / MAX: 22.411. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet12348121620Min: 14.99 / Avg: 15.04 / Max: 15.12Min: 15.08 / Avg: 15.11 / Max: 15.15Min: 15.09 / Avg: 15.17 / Max: 15.291. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161231632486480SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 370.4470.5470.71MIN: 69.73 / MAX: 82.28MIN: 70.03 / MAX: 88.88MIN: 69.91 / MAX: 83.31. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161231428425670Min: 70.16 / Avg: 70.44 / Max: 70.67Min: 70.49 / Avg: 70.54 / Max: 70.63Min: 70.61 / Avg: 70.71 / Max: 70.91. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet1812348121620SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 314.7714.6914.70MIN: 14.48 / MAX: 21.99MIN: 14.39 / MAX: 22.19MIN: 14.42 / MAX: 21.911. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet1812348121620Min: 14.75 / Avg: 14.77 / Max: 14.8Min: 14.6 / Avg: 14.69 / Max: 14.78Min: 14.64 / Avg: 14.7 / Max: 14.771. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet12348121620SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 316.1816.2416.21MIN: 16.01 / MAX: 21.26MIN: 16.09 / MAX: 28.18MIN: 16.06 / MAX: 22.771. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet12348121620Min: 16.1 / Avg: 16.18 / Max: 16.26Min: 16.18 / Avg: 16.24 / Max: 16.33Min: 16.17 / Avg: 16.21 / Max: 16.251. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50123714212835SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 330.8430.9831.15MIN: 30.05 / MAX: 50.37MIN: 30.52 / MAX: 35.94MIN: 30.66 / MAX: 44.031. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50123714212835Min: 30.72 / Avg: 30.84 / Max: 31.01Min: 30.8 / Avg: 30.98 / Max: 31.15Min: 31.06 / Avg: 31.15 / Max: 31.231. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123714212835SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 328.2028.2928.19MIN: 27.85 / MAX: 46.58MIN: 27.89 / MAX: 42.01MIN: 27.76 / MAX: 35.611. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123612182430Min: 28.16 / Avg: 28.2 / Max: 28.24Min: 28.14 / Avg: 28.29 / Max: 28.56Min: 27.95 / Avg: 28.19 / Max: 28.321. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet12348121620SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 315.7215.6715.78MIN: 15.47 / MAX: 23.15MIN: 15.4 / MAX: 22.24MIN: 15.57 / MAX: 29.21. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet12348121620Min: 15.66 / Avg: 15.72 / Max: 15.8Min: 15.61 / Avg: 15.67 / Max: 15.75Min: 15.74 / Avg: 15.78 / Max: 15.831. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet123510152025SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 320.1019.8520.05MIN: 19.65 / MAX: 31MIN: 19.6 / MAX: 31.94MIN: 19.72 / MAX: 35.821. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet123510152025Min: 19.81 / Avg: 20.1 / Max: 20.26Min: 19.75 / Avg: 19.85 / Max: 19.98Min: 19.94 / Avg: 20.05 / Max: 20.161. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v21231.28932.57863.86795.15726.4465SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 35.655.735.68MIN: 5.5 / MAX: 13.95MIN: 5.58 / MAX: 10.9MIN: 5.58 / MAX: 13.091. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2123246810Min: 5.62 / Avg: 5.65 / Max: 5.67Min: 5.66 / Avg: 5.73 / Max: 5.83Min: 5.65 / Avg: 5.68 / Max: 5.731. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v31231.0262.0523.0784.1045.13SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 34.534.564.50MIN: 4.4 / MAX: 18.27MIN: 4.46 / MAX: 11.12MIN: 4.39 / MAX: 14.771. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3123246810Min: 4.5 / Avg: 4.53 / Max: 4.56Min: 4.49 / Avg: 4.56 / Max: 4.61Min: 4.48 / Avg: 4.5 / Max: 4.531. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v21230.7921.5842.3763.1683.96SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 33.453.523.46MIN: 3.31 / MAX: 9.43MIN: 3.31 / MAX: 10.86MIN: 3.38 / MAX: 10.451. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2123246810Min: 3.43 / Avg: 3.45 / Max: 3.47Min: 3.47 / Avg: 3.52 / Max: 3.57Min: 3.42 / Avg: 3.46 / Max: 3.491. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet1230.99681.99362.99043.98724.984SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 24.424.434.42MIN: 4.33 / MAX: 4.53MIN: 4.34 / MAX: 10.06MIN: 4.32 / MAX: 11.721. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet123246810Min: 4.36 / Avg: 4.42 / Max: 4.46Min: 4.4 / Avg: 4.43 / Max: 4.47Min: 4.39 / Avg: 4.42 / Max: 4.451. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0123246810SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 37.427.397.45MIN: 7.23 / MAX: 21.08MIN: 7.26 / MAX: 16.67MIN: 7.27 / MAX: 14.931. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b01233691215Min: 7.4 / Avg: 7.42 / Max: 7.46Min: 7.33 / Avg: 7.39 / Max: 7.47Min: 7.32 / Avg: 7.45 / Max: 7.521. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface1230.32180.64360.96541.28721.609SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 31.411.431.39MIN: 1.38 / MAX: 1.45MIN: 1.36 / MAX: 6.44MIN: 1.33 / MAX: 6.361. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface123246810Min: 1.4 / Avg: 1.41 / Max: 1.42Min: 1.38 / Avg: 1.43 / Max: 1.46Min: 1.38 / Avg: 1.39 / Max: 1.391. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet12348121620SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 315.0215.1515.19MIN: 14.81 / MAX: 20.02MIN: 14.89 / MAX: 22.48MIN: 14.94 / MAX: 22.11. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet12348121620Min: 14.92 / Avg: 15.02 / Max: 15.11Min: 15.11 / Avg: 15.15 / Max: 15.17Min: 15.15 / Avg: 15.19 / Max: 15.221. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg161231632486480SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.21, N = 370.6070.3870.90MIN: 69.94 / MAX: 95.69MIN: 69.77 / MAX: 81.91MIN: 70.17 / MAX: 82.761. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg161231428425670Min: 70.42 / Avg: 70.6 / Max: 70.72Min: 70.22 / Avg: 70.38 / Max: 70.47Min: 70.48 / Avg: 70.9 / Max: 71.131. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet1812348121620SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 314.7314.7014.76MIN: 14.44 / MAX: 27.17MIN: 14.38 / MAX: 26.95MIN: 14.48 / MAX: 15.031. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet1812348121620Min: 14.66 / Avg: 14.73 / Max: 14.87Min: 14.55 / Avg: 14.7 / Max: 14.9Min: 14.73 / Avg: 14.76 / Max: 14.781. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet12348121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 316.1716.2016.20MIN: 15.98 / MAX: 23.46MIN: 16.06 / MAX: 22.18MIN: 16.01 / MAX: 27.221. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet12348121620Min: 16.14 / Avg: 16.17 / Max: 16.22Min: 16.15 / Avg: 16.2 / Max: 16.25Min: 16.08 / Avg: 16.2 / Max: 16.291. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50123714212835SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 331.0531.0131.07MIN: 30.51 / MAX: 43.94MIN: 30.23 / MAX: 43.02MIN: 30.49 / MAX: 41.141. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50123714212835Min: 30.89 / Avg: 31.05 / Max: 31.2Min: 30.88 / Avg: 31.01 / Max: 31.22Min: 30.94 / Avg: 31.07 / Max: 31.231. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny123714212835SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 328.1828.3128.19MIN: 27.78 / MAX: 34.42MIN: 27.81 / MAX: 40.93MIN: 27.69 / MAX: 35.551. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny123612182430Min: 28.01 / Avg: 28.18 / Max: 28.38Min: 28.26 / Avg: 28.31 / Max: 28.39Min: 27.95 / Avg: 28.19 / Max: 28.321. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

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 v212360120180240300SE +/- 1.41, N = 3SE +/- 0.70, N = 3SE +/- 0.35, N = 3283.19282.24281.36MIN: 280.01 / MAX: 293.22MIN: 280.02 / MAX: 293.77MIN: 280 / MAX: 288.131. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212350100150200250Min: 280.69 / Avg: 283.19 / Max: 285.57Min: 281.17 / Avg: 282.24 / Max: 283.56Min: 280.81 / Avg: 281.36 / Max: 2821. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112360120180240300SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.26, N = 3267.34267.78267.73MIN: 266.46 / MAX: 268.55MIN: 266.51 / MAX: 268.62MIN: 266.53 / MAX: 279.591. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112350100150200250Min: 267.06 / Avg: 267.34 / Max: 267.53Min: 267.65 / Avg: 267.78 / Max: 267.96Min: 267.22 / Avg: 267.73 / Max: 268.091. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT123110M220M330M440M550MSE +/- 893191.64, N = 3SE +/- 384231.86, N = 3SE +/- 611777.10, N = 3491552123.11491707769.65490960412.301. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12390M180M270M360M450MMin: 489766202.16 / Avg: 491552123.11 / Max: 492480278.49Min: 491277840.57 / Avg: 491707769.65 / Max: 492474343.74Min: 489739900.19 / Avg: 490960412.3 / Max: 491645342.971. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lm

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica123816243240SE +/- 0.35, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 333.6433.1833.18
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica123714212835Min: 33.21 / Avg: 33.64 / Max: 34.35Min: 33.08 / Avg: 33.18 / Max: 33.28Min: 33.13 / Avg: 33.18 / Max: 33.22

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda11428425670SE +/- 1.57, N = 1264.62

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm1510152025SE +/- 0.01, N = 320.78

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression10.55351.1071.66052.2142.7675SE +/- 0.02, N = 32.46