Skylake Core i5 6500

Intel Core i5-6500 testing with a Gigabyte Z170M-D3H-CF (F22f BIOS) and Gigabyte Intel HD 530 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 2009292-FI-SKYLAKECO34
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Linux 5.4
September 28 2020
  10 Hours, 14 Minutes
Linux 5.8.12
September 29 2020
  8 Hours, 55 Minutes
Linux 5.9-rc7
September 29 2020
  8 Hours, 18 Minutes
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  9 Hours, 9 Minutes

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Linux 5.4

Processor: Intel Core i5-6500 @ 3.60GHz (4 Cores), Motherboard: Gigabyte Z170M-D3H-CF (F22f BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 8GB, Disk: 250GB Samsung SSD 850, Graphics: Gigabyte Intel HD 530 3GB (1050MHz), Audio: Realtek ALC892, Monitor: G237HL, Network: Intel I219-V

OS: Ubuntu 20.04, Kernel: 5.4.0-45-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, OpenCL: OpenCL 2.1, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdc
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + 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: Mitigation of Clear buffers; SMT disabled

Linux 5.8.12

OS: Ubuntu 20.04, Kernel: 5.8.12-050812-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, OpenCL: OpenCL 2.1, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdc
Python Notes: Python 3.8.2
Security Notes: 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: Mitigation of Clear buffers; SMT disabled

Linux 5.9-rc7

OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20200929-generic (x86_64) 20200928, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, OpenCL: OpenCL 2.1, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Skylake Core i5 6500OpenBenchmarking.orgPhoronix Test SuiteIntel Core i5-6500 @ 3.60GHz (4 Cores)Gigabyte Z170M-D3H-CF (F22f BIOS)Intel Xeon E3-1200 v5/E3-15008GB250GB Samsung SSD 850Gigabyte Intel HD 530 3GB (1050MHz)Realtek ALC892G237HLIntel I219-VUbuntu 20.045.4.0-45-generic (x86_64)5.8.12-050812-generic (x86_64)5.9.0-050900rc7daily20200929-generic (x86_64) 20200928GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.4OpenCL 2.1GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelsDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionSkylake Core I5 6500 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: 0xdc - Python 3.8.2- Linux 5.4: itlb_multihit: KVM: Mitigation of Split huge pages + 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: Mitigation of Clear buffers; SMT disabled - Linux 5.8.12: 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: Mitigation of Clear buffers; SMT disabled - Linux 5.9-rc7: 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: Mitigation of Clear buffers; SMT disabled

Linux 5.4Linux 5.8.12Linux 5.9-rc7Logarithmic Result OverviewPhoronix Test SuiteRealSR-NCNNNCNNOpenCVApache CouchDBLeelaChessZeroGLmark2Mlpack BenchmarkInfluxDBeSpeak-NG Speech EngineFFTEKeyDBBYTE Unix BenchmarkGROMACSTimed MAFFT AlignmentMPVWebP Image EncodeHierarchical INTegrationDolfynLAMMPS Molecular Dynamics SimulatorSystem GZIP DecompressionNAMDAOM AV1Timed HMMer SearchLibRawMobile Neural NetworkIncompact3DMonte Carlo Simulations of Ionised NebulaeCaffeTNN

Skylake Core i5 6500incompact3d: Cylinderlczero: Eigengromacs: Water Benchmarklczero: BLASmocassin: Dust 2D tau100.0hint: FLOATncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU - squeezenetmpv: Big Buck Bunny Sunflower 4K - Software Onlynamd: ATPase Simulation - 327,506 Atomscouchdb: 100 - 1000 - 24realsr-ncnn: 4x - Nomlpack: scikit_qdahmmer: Pfam Database Searchmlpack: scikit_icainfluxdb: 4 - 10000 - 2,5000,1 - 10000byte: Dhrystone 2mnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: resnet-v2-50mnn: SqueezeNetV1.0influxdb: 64 - 10000 - 2,5000,1 - 10000glmark2: 1920 x 1080ncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetncnn: CPU - squeezenetcaffe: GoogleNet - CPU - 100opencv: DNN - Deep Neural Networkmpv: Big Buck Bunny Sunflower 1080p - Software Onlymlpack: scikit_linearridgeregressionkeydb: webp: Quality 100, Lossless, Highest Compressionlibraw: Post-Processing Benchmarkaom-av1: Speed 6 Realtimeespeak: Text-To-Speech Synthesiscaffe: AlexNet - CPU - 100aom-av1: Speed 6 Two-Passmlpack: scikit_svmtnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1dolfyn: Computational Fluid Dynamicswebp: Quality 100, Losslessaom-av1: Speed 8 Realtimesystem-decompress-gzip: mafft: Multiple Sequence Alignment - LSU RNAwebp: Quality 100, Highest Compressionlammps: Rhodopsin Proteinffte: N=256, 3D Complex FFT Routinewebp: Quality 100webp: DefaultLinux 5.4Linux 5.8.12Linux 5.9-rc7813.2953498100.469852329361421279.16012145.04146.09106.8579.88280.1091.346.4770.8234.9123.2137.8433.6798.34106.5674.834.98990232.89517.28280.48130.87260.22875726.335634715.850.4226.3514.95237.3458.523899170.048446.1953.2925.8528.1297.2327.201.9611.377.184.987.047.9831.3527.139340938827204.045.14241149.5753.05823.0812.9633.998382642.6929.53377.119372.48523.36621.60632.843.57712.8938.7862.53317566.3679415002.9421.874815.4823417590.466834329359752768.9851781.8782.2253.6734.03231.4338.513.4528.1013.919.4114.9213.5141.7347.6275.215.00306209.267303.11280.38130.64462.46848096.435578653.650.4366.3444.95737.1988.523881495.649846.3353.3125.9428.1398.2927.251.9611.407.205.007.097.9931.3527.189334723997207.084.57242725.1753.22823.0512.9834.471382842.6929.47373.414375.85523.42021.83432.633.59112.7438.8332.53617695.5380701122.9571.893812.1750497890.472827329359707021.1134681.8882.2054.5634.04232.4038.503.1928.1113.9211.2314.9413.5241.1847.6075.224.98427208.272301.10280.15130.97460.88847939.235158099.550.4046.3484.95137.2898.523887270.849946.2753.3225.9228.1498.0027.251.9611.397.185.007.077.9731.3427.189320923722206.864.56244927.9453.30623.0612.9533.888383982.6829.51374.253374.33523.46621.69732.723.58312.8328.8232.52517854.7918235642.9591.880OpenBenchmarking.org

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: CylinderLinux 5.4Linux 5.8.12Linux 5.9-rc72004006008001000SE +/- 0.79, N = 3SE +/- 1.74, N = 3SE +/- 0.59, N = 3813.30815.48812.181. (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: CylinderLinux 5.4Linux 5.8.12Linux 5.9-rc7140280420560700Min: 811.74 / Avg: 813.3 / Max: 814.35Min: 812.78 / Avg: 815.48 / Max: 818.72Min: 811.34 / Avg: 812.18 / Max: 813.311. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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: EigenLinux 5.4Linux 5.8.12Linux 5.9-rc72004006008001000SE +/- 4.16, N = 3SE +/- 25.74, N = 9SE +/- 3.76, N = 38107597891. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.4Linux 5.8.12Linux 5.9-rc7140280420560700Min: 804 / Avg: 810 / Max: 818Min: 602 / Avg: 758.56 / Max: 814Min: 783 / Avg: 789.33 / Max: 7961. (CXX) g++ options: -flto -pthread

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 BenchmarkLinux 5.4Linux 5.8.12Linux 5.9-rc70.10620.21240.31860.42480.531SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 30.4690.4660.4721. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.4Linux 5.8.12Linux 5.9-rc712345Min: 0.46 / Avg: 0.47 / Max: 0.48Min: 0.46 / Avg: 0.47 / Max: 0.47Min: 0.47 / Avg: 0.47 / Max: 0.481. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

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: BLASLinux 5.4Linux 5.8.12Linux 5.9-rc72004006008001000SE +/- 10.71, N = 3SE +/- 10.68, N = 3SE +/- 11.68, N = 38528348271. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.4Linux 5.8.12Linux 5.9-rc7150300450600750Min: 833 / Avg: 852.33 / Max: 870Min: 815 / Avg: 833.67 / Max: 852Min: 804 / Avg: 827 / Max: 8421. (CXX) g++ options: -flto -pthread

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 tau100.0Linux 5.4Linux 5.8.12Linux 5.9-rc7701402102803503293293291. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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: FLOATLinux 5.4Linux 5.8.12Linux 5.9-rc780M160M240M320M400MSE +/- 643821.23, N = 3SE +/- 663932.51, N = 3SE +/- 1096433.24, N = 3361421279.16359752768.99359707021.111. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATLinux 5.4Linux 5.8.12Linux 5.9-rc760M120M180M240M300MMin: 360164819.74 / Avg: 361421279.16 / Max: 362293434.37Min: 358608970.74 / Avg: 359752768.99 / Max: 360908802.77Min: 357514363.54 / Avg: 359707021.11 / Max: 360829563.441. (CC) gcc options: -O3 -march=native -lm

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: Vulkan GPU - Model: yolov4-tinyLinux 5.4Linux 5.8.12Linux 5.9-rc7306090120150SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3145.0481.8781.88MIN: 136.72 / MAX: 187.82MIN: 71.55 / MAX: 144.6MIN: 81.15 / MAX: 87.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyLinux 5.4Linux 5.8.12Linux 5.9-rc7306090120150Min: 144.89 / Avg: 145.04 / Max: 145.12Min: 81.77 / Avg: 81.87 / Max: 82Min: 81.84 / Avg: 81.88 / Max: 81.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Linux 5.4Linux 5.8.12Linux 5.9-rc7306090120150SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3146.0982.2282.20MIN: 135.88 / MAX: 146.68MIN: 81.68 / MAX: 82.64MIN: 81.55 / MAX: 82.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Linux 5.4Linux 5.8.12Linux 5.9-rc7306090120150Min: 146.06 / Avg: 146.09 / Max: 146.14Min: 82.21 / Avg: 82.22 / Max: 82.23Min: 82.12 / Avg: 82.2 / Max: 82.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetLinux 5.4Linux 5.8.12Linux 5.9-rc720406080100SE +/- 0.73, N = 3SE +/- 0.39, N = 3SE +/- 0.61, N = 3106.8553.6754.56MIN: 78.19 / MAX: 113.8MIN: 51.17 / MAX: 57.01MIN: 50.81 / MAX: 59.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetLinux 5.4Linux 5.8.12Linux 5.9-rc720406080100Min: 105.85 / Avg: 106.85 / Max: 108.28Min: 52.9 / Avg: 53.67 / Max: 54.08Min: 53.34 / Avg: 54.56 / Max: 55.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Linux 5.4Linux 5.8.12Linux 5.9-rc720406080100SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 379.8834.0334.04MIN: 76.6 / MAX: 85.24MIN: 33.72 / MAX: 34.19MIN: 33.67 / MAX: 34.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Linux 5.4Linux 5.8.12Linux 5.9-rc71530456075Min: 79.77 / Avg: 79.88 / Max: 79.96Min: 34 / Avg: 34.03 / Max: 34.06Min: 34.03 / Avg: 34.04 / Max: 34.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Linux 5.4Linux 5.8.12Linux 5.9-rc760120180240300SE +/- 0.05, N = 3SE +/- 0.81, N = 3SE +/- 0.04, N = 3280.10231.43232.40MIN: 256.74 / MAX: 282.55MIN: 228.89 / MAX: 235.7MIN: 230.34 / MAX: 234.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Linux 5.4Linux 5.8.12Linux 5.9-rc750100150200250Min: 280 / Avg: 280.1 / Max: 280.15Min: 230.54 / Avg: 231.43 / Max: 233.05Min: 232.34 / Avg: 232.4 / Max: 232.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetLinux 5.4Linux 5.8.12Linux 5.9-rc720406080100SE +/- 1.11, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 391.3438.5138.50MIN: 38.08 / MAX: 95.25MIN: 37.99 / MAX: 38.81MIN: 38.14 / MAX: 38.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetLinux 5.4Linux 5.8.12Linux 5.9-rc720406080100Min: 90.2 / Avg: 91.34 / Max: 93.56Min: 38.5 / Avg: 38.51 / Max: 38.52Min: 38.5 / Avg: 38.5 / Max: 38.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceLinux 5.4Linux 5.8.12Linux 5.9-rc7246810SE +/- 0.01, N = 3SE +/- 0.51, N = 3SE +/- 0.08, N = 36.473.453.19MIN: 6.21 / MAX: 6.64MIN: 2.51 / MAX: 4.7MIN: 2.7 / MAX: 3.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceLinux 5.4Linux 5.8.12Linux 5.9-rc73691215Min: 6.45 / Avg: 6.47 / Max: 6.49Min: 2.87 / Avg: 3.45 / Max: 4.46Min: 3.04 / Avg: 3.19 / Max: 3.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Linux 5.4Linux 5.8.12Linux 5.9-rc71632486480SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 370.8228.1028.11MIN: 67.97 / MAX: 71.79MIN: 27.57 / MAX: 28.3MIN: 27.78 / MAX: 28.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Linux 5.4Linux 5.8.12Linux 5.9-rc71428425670Min: 70.81 / Avg: 70.82 / Max: 70.82Min: 28.09 / Avg: 28.1 / Max: 28.11Min: 28.1 / Avg: 28.11 / Max: 28.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetLinux 5.4Linux 5.8.12Linux 5.9-rc7816243240SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 334.9113.9113.92MIN: 34.28 / MAX: 35.51MIN: 13.33 / MAX: 14.34MIN: 13.36 / MAX: 14.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetLinux 5.4Linux 5.8.12Linux 5.9-rc7714212835Min: 34.88 / Avg: 34.91 / Max: 34.93Min: 13.91 / Avg: 13.91 / Max: 13.91Min: 13.9 / Avg: 13.92 / Max: 13.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Linux 5.4Linux 5.8.12Linux 5.9-rc7612182430SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.26, N = 323.219.4111.23MIN: 22 / MAX: 23.54MIN: 9.3 / MAX: 9.57MIN: 9.84 / MAX: 11.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Linux 5.4Linux 5.8.12Linux 5.9-rc7510152025Min: 23.19 / Avg: 23.21 / Max: 23.23Min: 9.36 / Avg: 9.41 / Max: 9.49Min: 10.71 / Avg: 11.23 / Max: 11.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8.12Linux 5.9-rc7918273645SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 337.8414.9214.94MIN: 35.77 / MAX: 39.25MIN: 14.63 / MAX: 15.25MIN: 14.62 / MAX: 15.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8.12Linux 5.9-rc7816243240Min: 37.82 / Avg: 37.84 / Max: 37.86Min: 14.92 / Avg: 14.92 / Max: 14.92Min: 14.93 / Avg: 14.94 / Max: 14.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8.12Linux 5.9-rc7816243240SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 333.6713.5113.52MIN: 33.16 / MAX: 34.23MIN: 12.94 / MAX: 13.73MIN: 12.94 / MAX: 13.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8.12Linux 5.9-rc7714212835Min: 33.67 / Avg: 33.67 / Max: 33.67Min: 13.51 / Avg: 13.51 / Max: 13.52Min: 13.51 / Avg: 13.52 / Max: 13.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetLinux 5.4Linux 5.8.12Linux 5.9-rc720406080100SE +/- 0.13, N = 3SE +/- 0.42, N = 3SE +/- 0.12, N = 398.3441.7341.18MIN: 83.82 / MAX: 111.51MIN: 40.79 / MAX: 43.35MIN: 39.01 / MAX: 46.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetLinux 5.4Linux 5.8.12Linux 5.9-rc720406080100Min: 98.07 / Avg: 98.34 / Max: 98.49Min: 41.16 / Avg: 41.73 / Max: 42.54Min: 41.04 / Avg: 41.18 / Max: 41.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetLinux 5.4Linux 5.8.12Linux 5.9-rc720406080100SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3106.5647.6247.60MIN: 94.44 / MAX: 110.02MIN: 46.74 / MAX: 50.53MIN: 46.74 / MAX: 48.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetLinux 5.4Linux 5.8.12Linux 5.9-rc720406080100Min: 106.53 / Avg: 106.56 / Max: 106.6Min: 47.6 / Avg: 47.62 / Max: 47.65Min: 47.59 / Avg: 47.6 / Max: 47.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

MPV

MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software OnlyLinux 5.4Linux 5.8.12Linux 5.9-rc720406080100SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 374.8375.2175.22MIN: 69.77 / MAX: 76.92MIN: 72.29 / MAX: 77.42MIN: 71.43 / MAX: 76.921. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software OnlyLinux 5.4Linux 5.8.12Linux 5.9-rc71428425670Min: 74.8 / Avg: 74.83 / Max: 74.87Min: 75.19 / Avg: 75.21 / Max: 75.22Min: 75.13 / Avg: 75.22 / Max: 75.291. mpv 0.32.0

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 AtomsLinux 5.4Linux 5.8.12Linux 5.9-rc71.12572.25143.37714.50285.6285SE +/- 0.00250, N = 3SE +/- 0.00940, N = 3SE +/- 0.00100, N = 34.989905.003064.98427
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.4Linux 5.8.12Linux 5.9-rc7246810Min: 4.98 / Avg: 4.99 / Max: 4.99Min: 4.99 / Avg: 5 / Max: 5.02Min: 4.98 / Avg: 4.98 / Max: 4.99

Apache CouchDB

This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24Linux 5.4Linux 5.8.12Linux 5.9-rc750100150200250SE +/- 0.38, N = 3SE +/- 0.81, N = 3SE +/- 1.02, N = 3232.90209.27208.271. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24Linux 5.4Linux 5.8.12Linux 5.9-rc74080120160200Min: 232.34 / Avg: 232.9 / Max: 233.62Min: 208.11 / Avg: 209.27 / Max: 210.82Min: 206.24 / Avg: 208.27 / Max: 209.31. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

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: NoLinux 5.4Linux 5.8.12Linux 5.9-rc770140210280350SE +/- 0.30, N = 3SE +/- 2.23, N = 3SE +/- 0.19, N = 317.28303.11301.10
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoLinux 5.4Linux 5.8.12Linux 5.9-rc750100150200250Min: 16.98 / Avg: 17.28 / Max: 17.87Min: 300.79 / Avg: 303.11 / Max: 307.58Min: 300.89 / Avg: 301.1 / Max: 301.48

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.4Linux 5.8.12Linux 5.9-rc720406080100SE +/- 0.26, N = 3SE +/- 0.25, N = 3SE +/- 0.49, N = 380.4880.3880.15
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.4Linux 5.8.12Linux 5.9-rc71530456075Min: 79.96 / Avg: 80.48 / Max: 80.79Min: 79.91 / Avg: 80.38 / Max: 80.79Min: 79.48 / Avg: 80.15 / Max: 81.1

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchLinux 5.4Linux 5.8.12Linux 5.9-rc7306090120150SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3130.87130.64130.971. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchLinux 5.4Linux 5.8.12Linux 5.9-rc720406080100Min: 130.83 / Avg: 130.87 / Max: 130.94Min: 130.57 / Avg: 130.64 / Max: 130.71Min: 130.79 / Avg: 130.97 / Max: 131.221. (CC) gcc options: -O3 -pthread -lhmmer -leasel -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_icaLinux 5.4Linux 5.8.12Linux 5.9-rc71428425670SE +/- 0.07, N = 3SE +/- 0.78, N = 5SE +/- 0.56, N = 1060.2262.4660.88
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.4Linux 5.8.12Linux 5.9-rc71224364860Min: 60.08 / Avg: 60.22 / Max: 60.29Min: 59.89 / Avg: 62.46 / Max: 64.33Min: 59.51 / Avg: 60.88 / Max: 64.56

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8.12Linux 5.9-rc7200K400K600K800K1000KSE +/- 2073.62, N = 3SE +/- 3662.55, N = 3SE +/- 4569.93, N = 3875726.3848096.4847939.2
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8.12Linux 5.9-rc7150K300K450K600K750KMin: 871645.8 / Avg: 875726.27 / Max: 878408.4Min: 841064.4 / Avg: 848096.37 / Max: 853389Min: 838799.7 / Avg: 847939.23 / Max: 852576.3

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 2Linux 5.4Linux 5.8.12Linux 5.9-rc78M16M24M32M40MSE +/- 94345.36, N = 3SE +/- 24647.42, N = 3SE +/- 379392.18, N = 335634715.835578653.635158099.5
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.4Linux 5.8.12Linux 5.9-rc76M12M18M24M30MMin: 35478719.2 / Avg: 35634715.8 / Max: 35804648.5Min: 35533907.6 / Avg: 35578653.6 / Max: 35618938.4Min: 34399435.3 / Avg: 35158099.47 / Max: 35549127.6

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: inception-v3Linux 5.4Linux 5.8.12Linux 5.9-rc71122334455SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 350.4250.4450.40MIN: 50.15 / MAX: 103.7MIN: 50.22 / MAX: 69.18MIN: 50.25 / MAX: 52.841. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.4Linux 5.8.12Linux 5.9-rc71020304050Min: 50.39 / Avg: 50.42 / Max: 50.46Min: 50.37 / Avg: 50.44 / Max: 50.53Min: 50.36 / Avg: 50.4 / Max: 50.471. (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-v1-1.0Linux 5.4Linux 5.8.12Linux 5.9-rc7246810SE +/- 0.005, N = 3SE +/- 0.008, N = 3SE +/- 0.009, N = 36.3516.3446.348MIN: 6.3 / MAX: 7.1MIN: 6.29 / MAX: 17.22MIN: 6.29 / MAX: 16.531. (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-v1-1.0Linux 5.4Linux 5.8.12Linux 5.9-rc73691215Min: 6.35 / Avg: 6.35 / Max: 6.36Min: 6.34 / Avg: 6.34 / Max: 6.36Min: 6.33 / Avg: 6.35 / Max: 6.361. (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_224Linux 5.4Linux 5.8.12Linux 5.9-rc71.11532.23063.34594.46125.5765SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 34.9524.9574.951MIN: 4.9 / MAX: 10.09MIN: 4.89 / MAX: 15.09MIN: 4.9 / MAX: 6.561. (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: MobileNetV2_224Linux 5.4Linux 5.8.12Linux 5.9-rc7246810Min: 4.94 / Avg: 4.95 / Max: 4.96Min: 4.95 / Avg: 4.96 / Max: 4.96Min: 4.95 / Avg: 4.95 / Max: 4.951. (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-v2-50Linux 5.4Linux 5.8.12Linux 5.9-rc7918273645SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 337.3537.2037.29MIN: 37.19 / MAX: 47.93MIN: 37.07 / MAX: 39.66MIN: 37.16 / MAX: 46.491. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.4Linux 5.8.12Linux 5.9-rc7816243240Min: 37.28 / Avg: 37.35 / Max: 37.44Min: 37.15 / Avg: 37.2 / Max: 37.28Min: 37.23 / Avg: 37.29 / Max: 37.331. (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: SqueezeNetV1.0Linux 5.4Linux 5.8.12Linux 5.9-rc7246810SE +/- 0.017, N = 3SE +/- 0.004, N = 3SE +/- 0.010, N = 38.5238.5238.523MIN: 8.47 / MAX: 30.24MIN: 8.48 / MAX: 10.43MIN: 8.47 / MAX: 18.941. (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: SqueezeNetV1.0Linux 5.4Linux 5.8.12Linux 5.9-rc73691215Min: 8.5 / Avg: 8.52 / Max: 8.56Min: 8.52 / Avg: 8.52 / Max: 8.53Min: 8.51 / Avg: 8.52 / Max: 8.541. (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

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8.12Linux 5.9-rc7200K400K600K800K1000KSE +/- 511.25, N = 3SE +/- 3245.06, N = 3SE +/- 1134.63, N = 3899170.0881495.6887270.8
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8.12Linux 5.9-rc7160K320K480K640K800KMin: 898187.8 / Avg: 899169.97 / Max: 899907.3Min: 875069.8 / Avg: 881495.57 / Max: 885498Min: 885025.7 / Avg: 887270.8 / Max: 888679.3

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 1080Linux 5.4Linux 5.8.12Linux 5.9-rc7110220330440550484498499

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: yolov4-tinyLinux 5.4Linux 5.8.12Linux 5.9-rc71122334455SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 346.1946.3346.27MIN: 45.98 / MAX: 53.65MIN: 46.18 / MAX: 57.14MIN: 46.13 / MAX: 48.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyLinux 5.4Linux 5.8.12Linux 5.9-rc7918273645Min: 46.08 / Avg: 46.19 / Max: 46.36Min: 46.28 / Avg: 46.33 / Max: 46.38Min: 46.21 / Avg: 46.27 / Max: 46.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.4Linux 5.8.12Linux 5.9-rc71224364860SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 353.2953.3153.32MIN: 53.09 / MAX: 55.52MIN: 53.17 / MAX: 54.97MIN: 53.13 / MAX: 55.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.4Linux 5.8.12Linux 5.9-rc71122334455Min: 53.22 / Avg: 53.29 / Max: 53.34Min: 53.31 / Avg: 53.31 / Max: 53.31Min: 53.27 / Avg: 53.32 / Max: 53.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.4Linux 5.8.12Linux 5.9-rc7612182430SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 325.8525.9425.92MIN: 25.7 / MAX: 36.52MIN: 25.83 / MAX: 36.18MIN: 25.84 / MAX: 28.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.4Linux 5.8.12Linux 5.9-rc7612182430Min: 25.77 / Avg: 25.85 / Max: 25.93Min: 25.89 / Avg: 25.94 / Max: 25.97Min: 25.9 / Avg: 25.92 / Max: 25.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.4Linux 5.8.12Linux 5.9-rc7714212835SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 328.1228.1328.14MIN: 27.99 / MAX: 38.94MIN: 28 / MAX: 28.81MIN: 28.02 / MAX: 38.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.4Linux 5.8.12Linux 5.9-rc7612182430Min: 28.06 / Avg: 28.12 / Max: 28.16Min: 28.1 / Avg: 28.13 / Max: 28.15Min: 28.13 / Avg: 28.14 / Max: 28.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Linux 5.4Linux 5.8.12Linux 5.9-rc720406080100SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.21, N = 397.2398.2998.00MIN: 96.99 / MAX: 99.72MIN: 97.96 / MAX: 110MIN: 97.55 / MAX: 166.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Linux 5.4Linux 5.8.12Linux 5.9-rc720406080100Min: 97.1 / Avg: 97.23 / Max: 97.32Min: 98.14 / Avg: 98.29 / Max: 98.48Min: 97.69 / Avg: 98 / Max: 98.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.4Linux 5.8.12Linux 5.9-rc7612182430SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 327.2027.2527.25MIN: 27.11 / MAX: 29.45MIN: 27.14 / MAX: 29.06MIN: 27.16 / MAX: 37.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.4Linux 5.8.12Linux 5.9-rc7612182430Min: 27.19 / Avg: 27.2 / Max: 27.23Min: 27.23 / Avg: 27.25 / Max: 27.27Min: 27.23 / Avg: 27.25 / Max: 27.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.4Linux 5.8.12Linux 5.9-rc70.4410.8821.3231.7642.205SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.961.961.96MIN: 1.93 / MAX: 2.01MIN: 1.94 / MAX: 1.98MIN: 1.94 / MAX: 21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.4Linux 5.8.12Linux 5.9-rc7246810Min: 1.95 / Avg: 1.96 / Max: 1.96Min: 1.95 / Avg: 1.96 / Max: 1.96Min: 1.96 / Avg: 1.96 / Max: 1.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.4Linux 5.8.12Linux 5.9-rc73691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 311.3711.4011.39MIN: 11.33 / MAX: 12.08MIN: 11.35 / MAX: 11.62MIN: 11.35 / MAX: 11.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.4Linux 5.8.12Linux 5.9-rc73691215Min: 11.36 / Avg: 11.37 / Max: 11.39Min: 11.39 / Avg: 11.4 / Max: 11.4Min: 11.39 / Avg: 11.39 / Max: 11.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.4Linux 5.8.12Linux 5.9-rc7246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 37.187.207.18MIN: 7.12 / MAX: 7.41MIN: 7.16 / MAX: 7.94MIN: 7.14 / MAX: 7.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.4Linux 5.8.12Linux 5.9-rc73691215Min: 7.16 / Avg: 7.18 / Max: 7.19Min: 7.19 / Avg: 7.2 / Max: 7.2Min: 7.17 / Avg: 7.18 / Max: 7.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.4Linux 5.8.12Linux 5.9-rc71.1252.253.3754.55.625SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.985.005.00MIN: 4.94 / MAX: 6.74MIN: 4.97 / MAX: 6.43MIN: 4.96 / MAX: 6.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.4Linux 5.8.12Linux 5.9-rc7246810Min: 4.98 / Avg: 4.98 / Max: 4.99Min: 4.99 / Avg: 5 / Max: 5.01Min: 4.98 / Avg: 5 / Max: 5.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8.12Linux 5.9-rc7246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 37.047.097.07MIN: 6.94 / MAX: 8.58MIN: 7 / MAX: 8.42MIN: 6.97 / MAX: 8.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8.12Linux 5.9-rc73691215Min: 7.01 / Avg: 7.04 / Max: 7.05Min: 7.07 / Avg: 7.09 / Max: 7.12Min: 7.05 / Avg: 7.07 / Max: 7.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8.12Linux 5.9-rc7246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 37.987.997.97MIN: 7.89 / MAX: 9.56MIN: 7.9 / MAX: 9.5MIN: 7.89 / MAX: 9.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8.12Linux 5.9-rc73691215Min: 7.96 / Avg: 7.98 / Max: 7.99Min: 7.98 / Avg: 7.99 / Max: 8Min: 7.97 / Avg: 7.97 / Max: 7.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.4Linux 5.8.12Linux 5.9-rc7714212835SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 331.3531.3531.34MIN: 31.17 / MAX: 42.2MIN: 31.22 / MAX: 33.49MIN: 31.17 / MAX: 41.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.4Linux 5.8.12Linux 5.9-rc7714212835Min: 31.34 / Avg: 31.35 / Max: 31.37Min: 31.33 / Avg: 31.35 / Max: 31.39Min: 31.29 / Avg: 31.34 / Max: 31.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.4Linux 5.8.12Linux 5.9-rc7612182430SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 327.1327.1827.18MIN: 27 / MAX: 27.87MIN: 27.11 / MAX: 27.94MIN: 27.11 / MAX: 27.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.4Linux 5.8.12Linux 5.9-rc7612182430Min: 27.07 / Avg: 27.13 / Max: 27.17Min: 27.17 / Avg: 27.18 / Max: 27.2Min: 27.18 / Avg: 27.18 / Max: 27.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.4Linux 5.8.12Linux 5.9-rc720K40K60K80K100KSE +/- 21.06, N = 3SE +/- 54.31, N = 3SE +/- 32.90, N = 39340993347932091. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.4Linux 5.8.12Linux 5.9-rc716K32K48K64K80KMin: 93369 / Avg: 93409.33 / Max: 93440Min: 93271 / Avg: 93346.67 / Max: 93452Min: 93173 / Avg: 93209.33 / Max: 932751. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural NetworkLinux 5.4Linux 5.8.12Linux 5.9-rc78K16K24K32K40KSE +/- 10920.49, N = 15SE +/- 290.40, N = 6SE +/- 204.95, N = 33882723997237221. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt
OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural NetworkLinux 5.4Linux 5.8.12Linux 5.9-rc77K14K21K28K35KMin: 24308 / Avg: 38826.73 / Max: 190639Min: 23292 / Avg: 23997.33 / Max: 25172Min: 23345 / Avg: 23721.67 / Max: 240501. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

MPV

MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software OnlyLinux 5.4Linux 5.8.12Linux 5.9-rc750100150200250SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.26, N = 3204.04207.08206.86MIN: 176.47 / MAX: 210.53MIN: 187.5 / MAX: 214.29MIN: 184.61 / MAX: 214.291. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software OnlyLinux 5.4Linux 5.8.12Linux 5.9-rc74080120160200Min: 203.86 / Avg: 204.04 / Max: 204.27Min: 206.75 / Avg: 207.08 / Max: 207.41Min: 206.36 / Avg: 206.86 / Max: 207.231. mpv 0.32.0

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.4Linux 5.8.12Linux 5.9-rc71.15652.3133.46954.6265.7825SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 35.144.574.56
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.4Linux 5.8.12Linux 5.9-rc7246810Min: 5.01 / Avg: 5.14 / Max: 5.28Min: 4.5 / Avg: 4.57 / Max: 4.63Min: 4.48 / Avg: 4.56 / Max: 4.61

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 6.0.16Linux 5.4Linux 5.8.12Linux 5.9-rc750K100K150K200K250KSE +/- 3306.37, N = 3SE +/- 955.90, N = 3SE +/- 1344.20, N = 3241149.57242725.17244927.941. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Linux 5.4Linux 5.8.12Linux 5.9-rc740K80K120K160K200KMin: 234544 / Avg: 241149.57 / Max: 244719.14Min: 240913.94 / Avg: 242725.17 / Max: 244160.72Min: 243303.94 / Avg: 244927.94 / Max: 247595.351. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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: Quality 100, Lossless, Highest CompressionLinux 5.4Linux 5.8.12Linux 5.9-rc71224364860SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 353.0653.2353.311. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionLinux 5.4Linux 5.8.12Linux 5.9-rc71122334455Min: 53.03 / Avg: 53.06 / Max: 53.1Min: 53.18 / Avg: 53.23 / Max: 53.28Min: 53.13 / Avg: 53.31 / Max: 53.451. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 BenchmarkLinux 5.4Linux 5.8.12Linux 5.9-rc7612182430SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 323.0823.0523.061. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkLinux 5.4Linux 5.8.12Linux 5.9-rc7510152025Min: 23.07 / Avg: 23.08 / Max: 23.09Min: 23.04 / Avg: 23.05 / Max: 23.05Min: 23.05 / Avg: 23.06 / Max: 23.071. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -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 6 RealtimeLinux 5.4Linux 5.8.12Linux 5.9-rc73691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 312.9612.9812.951. (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 RealtimeLinux 5.4Linux 5.8.12Linux 5.9-rc748121620Min: 12.93 / Avg: 12.96 / Max: 12.99Min: 12.95 / Avg: 12.98 / Max: 12.99Min: 12.83 / Avg: 12.95 / Max: 13.011. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

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 SynthesisLinux 5.4Linux 5.8.12Linux 5.9-rc7816243240SE +/- 0.31, N = 4SE +/- 0.07, N = 4SE +/- 0.22, N = 434.0034.4733.891. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisLinux 5.4Linux 5.8.12Linux 5.9-rc7714212835Min: 33.16 / Avg: 34 / Max: 34.49Min: 34.29 / Avg: 34.47 / Max: 34.58Min: 33.45 / Avg: 33.89 / Max: 34.491. (CC) gcc options: -O2 -std=c99

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Linux 5.4Linux 5.8.12Linux 5.9-rc78K16K24K32K40KSE +/- 13.43, N = 3SE +/- 20.34, N = 3SE +/- 17.48, N = 33826438284383981. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Linux 5.4Linux 5.8.12Linux 5.9-rc77K14K21K28K35KMin: 38243 / Avg: 38264 / Max: 38289Min: 38245 / Avg: 38284.33 / Max: 38313Min: 38370 / Avg: 38397.67 / Max: 384301. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 6 Two-PassLinux 5.4Linux 5.8.12Linux 5.9-rc70.60531.21061.81592.42123.0265SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 32.692.692.681. (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-PassLinux 5.4Linux 5.8.12Linux 5.9-rc7246810Min: 2.69 / Avg: 2.69 / Max: 2.69Min: 2.69 / Avg: 2.69 / Max: 2.69Min: 2.65 / Avg: 2.68 / Max: 2.71. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.4Linux 5.8.12Linux 5.9-rc7714212835SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 329.5329.4729.51
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.4Linux 5.8.12Linux 5.9-rc7714212835Min: 29.37 / Avg: 29.53 / Max: 29.67Min: 29.4 / Avg: 29.47 / Max: 29.53Min: 29.5 / Avg: 29.51 / Max: 29.53

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 v2Linux 5.4Linux 5.8.12Linux 5.9-rc780160240320400SE +/- 0.73, N = 3SE +/- 0.30, N = 3SE +/- 0.60, N = 3377.12373.41374.25MIN: 374.83 / MAX: 380.72MIN: 371.7 / MAX: 375.12MIN: 372.56 / MAX: 376.351. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Linux 5.4Linux 5.8.12Linux 5.9-rc770140210280350Min: 375.84 / Avg: 377.12 / Max: 378.37Min: 372.84 / Avg: 373.41 / Max: 373.83Min: 373.29 / Avg: 374.25 / Max: 375.341. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.4Linux 5.8.12Linux 5.9-rc780160240320400SE +/- 0.19, N = 3SE +/- 1.39, N = 3SE +/- 0.06, N = 3372.49375.86374.34MIN: 371.66 / MAX: 374.46MIN: 373.72 / MAX: 386.23MIN: 373.3 / MAX: 375.691. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.4Linux 5.8.12Linux 5.9-rc770140210280350Min: 372.2 / Avg: 372.49 / Max: 372.84Min: 374.42 / Avg: 375.85 / Max: 378.63Min: 374.27 / Avg: 374.33 / Max: 374.451. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 DynamicsLinux 5.4Linux 5.8.12Linux 5.9-rc7612182430SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 323.3723.4223.47
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsLinux 5.4Linux 5.8.12Linux 5.9-rc7510152025Min: 23.26 / Avg: 23.37 / Max: 23.47Min: 23.31 / Avg: 23.42 / Max: 23.49Min: 23.43 / Avg: 23.47 / Max: 23.49

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: Quality 100, LosslessLinux 5.4Linux 5.8.12Linux 5.9-rc7510152025SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 321.6121.8321.701. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessLinux 5.4Linux 5.8.12Linux 5.9-rc7510152025Min: 21.59 / Avg: 21.61 / Max: 21.61Min: 21.78 / Avg: 21.83 / Max: 21.86Min: 21.64 / Avg: 21.7 / Max: 21.821. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 8 RealtimeLinux 5.4Linux 5.8.12Linux 5.9-rc7816243240SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 332.8432.6332.721. (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 RealtimeLinux 5.4Linux 5.8.12Linux 5.9-rc7714212835Min: 32.79 / Avg: 32.84 / Max: 32.87Min: 32.54 / Avg: 32.63 / Max: 32.74Min: 32.65 / Avg: 32.72 / Max: 32.771. (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 DecompressionLinux 5.4Linux 5.8.12Linux 5.9-rc70.8081.6162.4243.2324.04SE +/- 0.036, N = 15SE +/- 0.037, N = 13SE +/- 0.034, N = 133.5773.5913.583
OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.4Linux 5.8.12Linux 5.9-rc7246810Min: 3.54 / Avg: 3.58 / Max: 4.08Min: 3.55 / Avg: 3.59 / Max: 4.03Min: 3.55 / Avg: 3.58 / Max: 3.99

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNALinux 5.4Linux 5.8.12Linux 5.9-rc73691215SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 312.8912.7412.831. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNALinux 5.4Linux 5.8.12Linux 5.9-rc748121620Min: 12.64 / Avg: 12.89 / Max: 13.27Min: 12.69 / Avg: 12.74 / Max: 12.84Min: 12.57 / Avg: 12.83 / Max: 13.211. (CC) gcc options: -std=c99 -O3 -lm -lpthread

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: Quality 100, Highest CompressionLinux 5.4Linux 5.8.12Linux 5.9-rc7246810SE +/- 0.003, N = 3SE +/- 0.006, N = 3SE +/- 0.010, N = 38.7868.8338.8231. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionLinux 5.4Linux 5.8.12Linux 5.9-rc73691215Min: 8.78 / Avg: 8.79 / Max: 8.79Min: 8.83 / Avg: 8.83 / Max: 8.84Min: 8.81 / Avg: 8.82 / Max: 8.841. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 ProteinLinux 5.4Linux 5.8.12Linux 5.9-rc70.57061.14121.71182.28242.853SE +/- 0.002, N = 3SE +/- 0.007, N = 3SE +/- 0.008, N = 32.5332.5362.5251. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.4Linux 5.8.12Linux 5.9-rc7246810Min: 2.53 / Avg: 2.53 / Max: 2.54Min: 2.52 / Avg: 2.54 / Max: 2.55Min: 2.51 / Avg: 2.53 / Max: 2.531. (CXX) g++ options: -O3 -pthread -lm

FFTE

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.4Linux 5.8.12Linux 5.9-rc74K8K12K16K20KSE +/- 86.25, N = 3SE +/- 28.87, N = 3SE +/- 23.53, N = 317566.3717695.5417854.791. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.4Linux 5.8.12Linux 5.9-rc73K6K9K12K15KMin: 17394.59 / Avg: 17566.37 / Max: 17665.97Min: 17659.45 / Avg: 17695.54 / Max: 17752.61Min: 17808.84 / Avg: 17854.79 / Max: 17886.561. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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: Quality 100Linux 5.4Linux 5.8.12Linux 5.9-rc70.66581.33161.99742.66323.329SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 32.9422.9572.9591. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Linux 5.4Linux 5.8.12Linux 5.9-rc7246810Min: 2.94 / Avg: 2.94 / Max: 2.95Min: 2.96 / Avg: 2.96 / Max: 2.96Min: 2.96 / Avg: 2.96 / Max: 2.971. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultLinux 5.4Linux 5.8.12Linux 5.9-rc70.42590.85181.27771.70362.1295SE +/- 0.002, N = 3SE +/- 0.011, N = 3SE +/- 0.001, N = 31.8741.8931.8801. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultLinux 5.4Linux 5.8.12Linux 5.9-rc7246810Min: 1.87 / Avg: 1.87 / Max: 1.88Min: 1.88 / Avg: 1.89 / Max: 1.92Min: 1.88 / Avg: 1.88 / Max: 1.881. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Linux 5.4

Processor: Intel Core i5-6500 @ 3.60GHz (4 Cores), Motherboard: Gigabyte Z170M-D3H-CF (F22f BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 8GB, Disk: 250GB Samsung SSD 850, Graphics: Gigabyte Intel HD 530 3GB (1050MHz), Audio: Realtek ALC892, Monitor: G237HL, Network: Intel I219-V

OS: Ubuntu 20.04, Kernel: 5.4.0-45-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, OpenCL: OpenCL 2.1, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdc
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + 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: Mitigation of Clear buffers; SMT disabled

Testing initiated at 28 September 2020 18:52 by user phoronix.

Linux 5.8.12

Processor: Intel Core i5-6500 @ 3.60GHz (4 Cores), Motherboard: Gigabyte Z170M-D3H-CF (F22f BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 8GB, Disk: 250GB Samsung SSD 850, Graphics: Gigabyte Intel HD 530 3GB (1050MHz), Audio: Realtek ALC892, Monitor: G237HL, Network: Intel I219-V

OS: Ubuntu 20.04, Kernel: 5.8.12-050812-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, OpenCL: OpenCL 2.1, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdc
Python Notes: Python 3.8.2
Security Notes: 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: Mitigation of Clear buffers; SMT disabled

Testing initiated at 29 September 2020 06:05 by user phoronix.

Linux 5.9-rc7

Processor: Intel Core i5-6500 @ 3.60GHz (4 Cores), Motherboard: Gigabyte Z170M-D3H-CF (F22f BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 8GB, Disk: 250GB Samsung SSD 850, Graphics: Gigabyte Intel HD 530 3GB (1050MHz), Audio: Realtek ALC892, Monitor: G237HL, Network: Intel I219-V

OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20200929-generic (x86_64) 20200928, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, OpenCL: OpenCL 2.1, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdc
Python Notes: Python 3.8.2
Security Notes: 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: Mitigation of Clear buffers; SMT disabled

Testing initiated at 29 September 2020 11:56 by user phoronix.