Core i9 7960X 2021

Intel Core i9-7960X testing with a MSI X299 SLI PLUS (MS-7A93) v1.0 (1.A0 BIOS) and Gigabyte AMD Radeon R7 370 R9 270X/370X 2GB 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 2101126-HA-COREI979660
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Audio Encoding 3 Tests
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Core i9 7960X 2021ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDisplay ServerDisplay DriverCompilerFile-SystemScreen Resolution1234Intel Core i9-7960X @ 4.40GHz (16 Cores / 32 Threads)MSI X299 SLI PLUS (MS-7A93) v1.0 (1.A0 BIOS)Intel Sky Lake-E DMI3 Registers16GB256GB INTEL SSDPEKKW256G8Gigabyte AMD Radeon R7 370 R9 270X/370X 2GBRealtek ALC1220G237HLIntel I219-V + Intel I211Ubuntu 20.045.4.0-58-generic (x86_64)X Server 1.20.8modesetting 1.20.8GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0x2006a08Security 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 + srbds: Not affected + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

1234Result OverviewPhoronix Test Suite 10.2.0100%100%101%101%Quantum ESPRESSOCP2K Molecular DynamicsMobile Neural NetworkAlgebraic Multi-Grid BenchmarkLULESHdav1dMonkey Audio EncodingoneDNNCryptsetupLAMMPS Molecular Dynamics SimulatorOpenFOAMTimed Eigen CompilationOpus Codec EncodingWavPack Audio EncodingCLOMP

Core i9 7960X 2021cp2k: Fayalite-FIST Dataclomp: Static OMP Speedupamg: openfoam: Motorbike 30Mopenfoam: Motorbike 60Mqe: AUSURF112lammps: Rhodopsin Proteinlulesh: onednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUdav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitbuild-eigen: Time To Compileencode-ape: WAV To APEencode-opus: WAV To Opus Encodecryptsetup: PBKDF2-sha512cryptsetup: PBKDF2-whirlpoolcryptsetup: AES-XTS 256b Encryptioncryptsetup: AES-XTS 256b Decryptioncryptsetup: Serpent-XTS 256b Encryptioncryptsetup: Serpent-XTS 256b Decryptioncryptsetup: Twofish-XTS 256b Encryptioncryptsetup: Twofish-XTS 256b Decryptioncryptsetup: AES-XTS 512b Encryptioncryptsetup: AES-XTS 512b Decryptioncryptsetup: Serpent-XTS 512b Encryptioncryptsetup: Serpent-XTS 512b Decryptioncryptsetup: Twofish-XTS 512b Encryptioncryptsetup: Twofish-XTS 512b Decryptionmnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3encode-wavpack: WAV To WavPackunpack-firefox: firefox-84.0.source.tar.xzkripke: 12341257.87523.2451046600100.83656.351812.2910.759450.547762.149394.140790.7620491.075874.743632.340049.316012.312682.687318.840271.023461.615961428.49831.0211436.778.6779010.504411.8035836.7751.484231432.10831.8880.5370781.91750775.54234.16664.26115.8074.89011.19610.41717965337646402340.62350.4780.9808.7438.2443.32168.02176.0786.8808.8440.2442.67.72540.5514.5312.75351.72414.79119.715648548331278.2723.2454801300100.73653.801833.3410.758454.345112.152134.164770.7636751.081434.746292.339149.330212.329672.693478.856071.023801.615411433.27837.2831426.358.6864010.499811.8010821.6891.485801434.02815.8330.5390131.91998774.42233.77660.72115.6274.73311.19710.40917985867650112368.72364.8789.4806.0440.8443.12175.62189.4788.5809.0440.8443.47.87040.7964.6112.71252.55314.79119.771648270571260.81123.2455200400100.74653.571828.9410.772454.444032.150014.210740.7623721.081454.747422.357099.343752.308432.727248.857441.023391.624641443.10837.3901440.068.6775810.505111.8063838.8541.489831438.52841.7750.5423731.91412774.33233.81661.89115.8074.88711.19710.42017985867650112366.72364.9789.1809.0441.1437.12174.62182.8789.4805.4440.5442.97.78340.4714.5192.71751.54214.7901259.57723.2455774200100.57654.471856.0510.737454.051662.151204.176840.7633871.080814.748482.355049.330022.316942.680228.839591.023491.602731429.61822.7251576.258.6777310.507411.7967822.8891.485891449.46819.9750.5367571.92441773.57234.04652.08115.7474.84511.24910.42817965337646402368.02357.2786.9809.5440.2443.12176.52189.9788.3806.6440.6443.67.81940.5024.5822.72752.11614.78619.68664370483OpenBenchmarking.org

CP2K Molecular Dynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 8.1Fayalite-FIST Data1234300600900120015001257.881278.271260.811259.58

CLOMP

CLOMP is the C version of the Livermore OpenMP benchmark developed to measure OpenMP overheads and other performance impacts due to threading in order to influence future system designs. This particular test profile configuration is currently set to look at the OpenMP static schedule speed-up across all available CPU cores using the recommended test configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup1234612182430SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 323.223.223.223.21. (CC) gcc options: -fopenmp -O3 -lm
OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup1234510152025Min: 23 / Avg: 23.2 / Max: 23.5Min: 23 / Avg: 23.2 / Max: 23.4Min: 23.1 / Avg: 23.2 / Max: 23.3Min: 22.9 / Avg: 23.17 / Max: 23.51. (CC) gcc options: -fopenmp -O3 -lm

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.21234100M200M300M400M500MSE +/- 6385919.79, N = 4SE +/- 3250074.73, N = 3SE +/- 2882257.48, N = 3SE +/- 2349402.30, N = 34510466004548013004552004004557742001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2123480M160M240M320M400MMin: 431897300 / Avg: 451046600 / Max: 457851000Min: 448302500 / Avg: 454801300 / Max: 458165400Min: 449461000 / Avg: 455200400 / Max: 458535600Min: 451075400 / Avg: 455774200 / Max: 4581293001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

OpenFOAM

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30M123420406080100SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3100.83100.73100.74100.571. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30M123420406080100Min: 100.64 / Avg: 100.83 / Max: 101.06Min: 100.7 / Avg: 100.73 / Max: 100.76Min: 100.67 / Avg: 100.74 / Max: 100.84Min: 100.48 / Avg: 100.57 / Max: 100.661. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60M1234140280420560700SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.32, N = 3SE +/- 0.12, N = 3656.35653.80653.57654.471. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60M1234120240360480600Min: 656.22 / Avg: 656.35 / Max: 656.47Min: 653.43 / Avg: 653.8 / Max: 654.13Min: 652.96 / Avg: 653.57 / Max: 654.02Min: 654.25 / Avg: 654.47 / Max: 654.671. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

Quantum ESPRESSO

OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF1121234400800120016002000SE +/- 20.09, N = 3SE +/- 7.36, N = 3SE +/- 10.93, N = 3SE +/- 2.48, N = 31812.291833.341828.941856.051. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF112123430060090012001500Min: 1775 / Avg: 1812.29 / Max: 1843.89Min: 1819.98 / Avg: 1833.34 / Max: 1845.36Min: 1811.89 / Avg: 1828.94 / Max: 1849.3Min: 1851.43 / Avg: 1856.05 / Max: 1859.941. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

LAMMPS Molecular Dynamics Simulator

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein12343691215SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 310.7610.7610.7710.741. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein12343691215Min: 10.74 / Avg: 10.76 / Max: 10.78Min: 10.65 / Avg: 10.76 / Max: 10.83Min: 10.72 / Avg: 10.77 / Max: 10.8Min: 10.63 / Avg: 10.74 / Max: 10.821. (CXX) g++ options: -O3 -pthread -lm

LULESH

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.31234100200300400500SE +/- 4.79, N = 15SE +/- 4.41, N = 3SE +/- 5.20, N = 15SE +/- 4.97, N = 15450.55454.35454.44454.051. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3123480160240320400Min: 427.42 / Avg: 450.55 / Max: 497.61Min: 447.22 / Avg: 454.35 / Max: 462.41Min: 422.89 / Avg: 454.44 / Max: 497.86Min: 420.63 / Avg: 454.05 / Max: 478.131. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU12340.48420.96841.45261.93682.421SE +/- 0.00371, N = 3SE +/- 0.00131, N = 3SE +/- 0.00152, N = 3SE +/- 0.00198, N = 32.149392.152132.150012.15120MIN: 2.07MIN: 2.07MIN: 2.08MIN: 2.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1234246810Min: 2.14 / Avg: 2.15 / Max: 2.15Min: 2.15 / Avg: 2.15 / Max: 2.15Min: 2.15 / Avg: 2.15 / Max: 2.15Min: 2.15 / Avg: 2.15 / Max: 2.161. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU12340.94741.89482.84223.78964.737SE +/- 0.00022, N = 3SE +/- 0.00296, N = 3SE +/- 0.00208, N = 3SE +/- 0.00345, N = 34.140794.164774.210744.17684MIN: 4.12MIN: 4.14MIN: 4.18MIN: 4.151. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU1234246810Min: 4.14 / Avg: 4.14 / Max: 4.14Min: 4.16 / Avg: 4.16 / Max: 4.17Min: 4.21 / Avg: 4.21 / Max: 4.21Min: 4.17 / Avg: 4.18 / Max: 4.181. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU12340.17180.34360.51540.68720.859SE +/- 0.000436, N = 3SE +/- 0.000665, N = 3SE +/- 0.000065, N = 3SE +/- 0.000337, N = 30.7620490.7636750.7623720.763387MIN: 0.75MIN: 0.75MIN: 0.74MIN: 0.751. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU1234246810Min: 0.76 / Avg: 0.76 / Max: 0.76Min: 0.76 / Avg: 0.76 / Max: 0.76Min: 0.76 / Avg: 0.76 / Max: 0.76Min: 0.76 / Avg: 0.76 / Max: 0.761. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU12340.24330.48660.72990.97321.2165SE +/- 0.00117, N = 3SE +/- 0.00761, N = 3SE +/- 0.00449, N = 3SE +/- 0.00168, N = 31.075871.081431.081451.08081MIN: 1.02MIN: 1.02MIN: 1.02MIN: 1.031. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU1234246810Min: 1.07 / Avg: 1.08 / Max: 1.08Min: 1.07 / Avg: 1.08 / Max: 1.1Min: 1.08 / Avg: 1.08 / Max: 1.09Min: 1.08 / Avg: 1.08 / Max: 1.081. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU12341.06842.13683.20524.27365.342SE +/- 0.00139, N = 3SE +/- 0.00206, N = 3SE +/- 0.00151, N = 3SE +/- 0.00138, N = 34.743634.746294.747424.74848MIN: 4.71MIN: 4.71MIN: 4.72MIN: 4.711. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU1234246810Min: 4.74 / Avg: 4.74 / Max: 4.75Min: 4.74 / Avg: 4.75 / Max: 4.75Min: 4.75 / Avg: 4.75 / Max: 4.75Min: 4.75 / Avg: 4.75 / Max: 4.751. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU12340.53031.06061.59092.12122.6515SE +/- 0.00038, N = 3SE +/- 0.00250, N = 3SE +/- 0.00205, N = 3SE +/- 0.00098, N = 32.340042.339142.357092.35504MIN: 2.32MIN: 2.31MIN: 2.33MIN: 2.331. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU1234246810Min: 2.34 / Avg: 2.34 / Max: 2.34Min: 2.33 / Avg: 2.34 / Max: 2.34Min: 2.35 / Avg: 2.36 / Max: 2.36Min: 2.35 / Avg: 2.36 / Max: 2.361. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU12343691215SE +/- 0.00605, N = 3SE +/- 0.00254, N = 3SE +/- 0.00470, N = 3SE +/- 0.00932, N = 39.316019.330219.343759.33002MIN: 9.26MIN: 9.29MIN: 9.3MIN: 9.281. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU12343691215Min: 9.3 / Avg: 9.32 / Max: 9.32Min: 9.33 / Avg: 9.33 / Max: 9.34Min: 9.34 / Avg: 9.34 / Max: 9.35Min: 9.32 / Avg: 9.33 / Max: 9.351. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU12340.52421.04841.57262.09682.621SE +/- 0.00191, N = 3SE +/- 0.00830, N = 3SE +/- 0.00249, N = 3SE +/- 0.01010, N = 32.312682.329672.308432.31694MIN: 2.25MIN: 2.26MIN: 2.25MIN: 2.251. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1234246810Min: 2.31 / Avg: 2.31 / Max: 2.32Min: 2.32 / Avg: 2.33 / Max: 2.34Min: 2.3 / Avg: 2.31 / Max: 2.31Min: 2.3 / Avg: 2.32 / Max: 2.341. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU12340.61361.22721.84082.45443.068SE +/- 0.00788, N = 3SE +/- 0.00136, N = 3SE +/- 0.01559, N = 3SE +/- 0.00266, N = 32.687312.693472.727242.68022MIN: 2.65MIN: 2.67MIN: 2.66MIN: 2.651. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU1234246810Min: 2.68 / Avg: 2.69 / Max: 2.7Min: 2.69 / Avg: 2.69 / Max: 2.7Min: 2.7 / Avg: 2.73 / Max: 2.75Min: 2.68 / Avg: 2.68 / Max: 2.681. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU1234246810SE +/- 0.00176, N = 3SE +/- 0.00611, N = 3SE +/- 0.01395, N = 3SE +/- 0.00242, N = 38.840278.856078.857448.83959MIN: 8.81MIN: 8.82MIN: 8.82MIN: 8.81. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU12343691215Min: 8.84 / Avg: 8.84 / Max: 8.84Min: 8.85 / Avg: 8.86 / Max: 8.87Min: 8.84 / Avg: 8.86 / Max: 8.89Min: 8.84 / Avg: 8.84 / Max: 8.841. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU12340.23040.46080.69120.92161.152SE +/- 0.00031, N = 3SE +/- 0.00042, N = 3SE +/- 0.00009, N = 3SE +/- 0.00002, N = 31.023461.023801.023391.02349MIN: 1.01MIN: 1.01MIN: 1.01MIN: 1.011. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU1234246810Min: 1.02 / Avg: 1.02 / Max: 1.02Min: 1.02 / Avg: 1.02 / Max: 1.02Min: 1.02 / Avg: 1.02 / Max: 1.02Min: 1.02 / Avg: 1.02 / Max: 1.021. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU12340.36550.7311.09651.4621.8275SE +/- 0.00518, N = 3SE +/- 0.00230, N = 3SE +/- 0.00499, N = 3SE +/- 0.00846, N = 31.615961.615411.624641.60273MIN: 1.6MIN: 1.59MIN: 1.6MIN: 1.581. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU1234246810Min: 1.61 / Avg: 1.62 / Max: 1.63Min: 1.61 / Avg: 1.62 / Max: 1.62Min: 1.62 / Avg: 1.62 / Max: 1.63Min: 1.59 / Avg: 1.6 / Max: 1.611. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU123430060090012001500SE +/- 4.41, N = 3SE +/- 5.17, N = 3SE +/- 2.99, N = 3SE +/- 1.78, N = 31428.491433.271443.101429.61MIN: 1418.66MIN: 1420.15MIN: 1434.66MIN: 1424.441. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU123430060090012001500Min: 1421.34 / Avg: 1428.49 / Max: 1436.53Min: 1422.98 / Avg: 1433.27 / Max: 1439.26Min: 1437.15 / Avg: 1443.1 / Max: 1446.53Min: 1427.22 / Avg: 1429.61 / Max: 1433.11. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU12342004006008001000SE +/- 8.53, N = 3SE +/- 4.38, N = 3SE +/- 4.97, N = 3SE +/- 3.15, N = 3831.02837.28837.39822.73MIN: 811.33MIN: 822.43MIN: 824.9MIN: 814.121. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1234150300450600750Min: 814.6 / Avg: 831.02 / Max: 843.27Min: 828.58 / Avg: 837.28 / Max: 842.52Min: 827.72 / Avg: 837.39 / Max: 844.23Min: 817.06 / Avg: 822.72 / Max: 827.951. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU123430060090012001500SE +/- 10.67, N = 3SE +/- 3.40, N = 3SE +/- 2.92, N = 3SE +/- 141.79, N = 151436.771426.351440.061576.25MIN: 1418.03MIN: 1420.45MIN: 1434.34MIN: 1420.111. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU123430060090012001500Min: 1420.69 / Avg: 1436.77 / Max: 1456.96Min: 1422.87 / Avg: 1426.35 / Max: 1433.15Min: 1436.74 / Avg: 1440.06 / Max: 1445.87Min: 1423 / Avg: 1576.25 / Max: 3561.181. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU1234246810SE +/- 0.00272, N = 3SE +/- 0.00560, N = 3SE +/- 0.00489, N = 3SE +/- 0.00097, N = 38.677908.686408.677588.67773MIN: 8.51MIN: 8.51MIN: 8.51MIN: 8.51. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU12343691215Min: 8.67 / Avg: 8.68 / Max: 8.68Min: 8.68 / Avg: 8.69 / Max: 8.7Min: 8.67 / Avg: 8.68 / Max: 8.69Min: 8.68 / Avg: 8.68 / Max: 8.681. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU12343691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.5010.5010.5110.51MIN: 10.42MIN: 10.42MIN: 10.42MIN: 10.421. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU12343691215Min: 10.5 / Avg: 10.5 / Max: 10.51Min: 10.5 / Avg: 10.5 / Max: 10.5Min: 10.5 / Avg: 10.51 / Max: 10.51Min: 10.5 / Avg: 10.51 / Max: 10.511. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU12343691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 311.8011.8011.8111.80MIN: 11.76MIN: 11.75MIN: 11.76MIN: 11.751. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU12343691215Min: 11.8 / Avg: 11.8 / Max: 11.81Min: 11.8 / Avg: 11.8 / Max: 11.8Min: 11.8 / Avg: 11.81 / Max: 11.81Min: 11.79 / Avg: 11.8 / Max: 11.81. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU12342004006008001000SE +/- 6.86, N = 3SE +/- 4.30, N = 3SE +/- 7.04, N = 3SE +/- 4.25, N = 3836.78821.69838.85822.89MIN: 820.62MIN: 814.01MIN: 824.47MIN: 815.021. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1234150300450600750Min: 823.36 / Avg: 836.78 / Max: 845.97Min: 817.05 / Avg: 821.69 / Max: 830.28Min: 827.46 / Avg: 838.85 / Max: 851.72Min: 818.31 / Avg: 822.89 / Max: 831.371. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU12340.33520.67041.00561.34081.676SE +/- 0.00521, N = 3SE +/- 0.00306, N = 3SE +/- 0.00259, N = 3SE +/- 0.00235, N = 31.484231.485801.489831.48589MIN: 1.45MIN: 1.46MIN: 1.46MIN: 1.461. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU1234246810Min: 1.48 / Avg: 1.48 / Max: 1.49Min: 1.48 / Avg: 1.49 / Max: 1.49Min: 1.49 / Avg: 1.49 / Max: 1.49Min: 1.48 / Avg: 1.49 / Max: 1.491. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU123430060090012001500SE +/- 4.88, N = 3SE +/- 2.70, N = 3SE +/- 3.80, N = 3SE +/- 17.05, N = 31432.101434.021438.521449.46MIN: 1419.94MIN: 1426.23MIN: 1430.66MIN: 1428.21. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU123430060090012001500Min: 1422.4 / Avg: 1432.1 / Max: 1437.94Min: 1428.63 / Avg: 1434.02 / Max: 1436.94Min: 1433.12 / Avg: 1438.52 / Max: 1445.84Min: 1430.83 / Avg: 1449.46 / Max: 1483.521. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU12342004006008001000SE +/- 8.12, N = 3SE +/- 0.42, N = 3SE +/- 7.53, N = 3SE +/- 1.07, N = 3831.89815.83841.78819.98MIN: 811.19MIN: 812.11MIN: 824.7MIN: 815.221. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1234150300450600750Min: 815.76 / Avg: 831.89 / Max: 841.58Min: 815.17 / Avg: 815.83 / Max: 816.6Min: 827.42 / Avg: 841.78 / Max: 852.88Min: 818.39 / Avg: 819.98 / Max: 822.021. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU12340.1220.2440.3660.4880.61SE +/- 0.001168, N = 3SE +/- 0.003335, N = 3SE +/- 0.001215, N = 3SE +/- 0.002601, N = 30.5370780.5390130.5423730.536757MIN: 0.51MIN: 0.51MIN: 0.52MIN: 0.511. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU1234246810Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.53 / Avg: 0.54 / Max: 0.55Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.53 / Avg: 0.54 / Max: 0.541. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU12340.4330.8661.2991.7322.165SE +/- 0.00613, N = 3SE +/- 0.00771, N = 3SE +/- 0.00384, N = 3SE +/- 0.00189, N = 31.917501.919981.914121.92441MIN: 1.83MIN: 1.83MIN: 1.83MIN: 1.851. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU1234246810Min: 1.91 / Avg: 1.92 / Max: 1.93Min: 1.91 / Avg: 1.92 / Max: 1.93Min: 1.91 / Avg: 1.91 / Max: 1.92Min: 1.92 / Avg: 1.92 / Max: 1.931. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

dav1d

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p12342004006008001000SE +/- 0.90, N = 3SE +/- 0.89, N = 3SE +/- 0.56, N = 3SE +/- 1.56, N = 3775.54774.42774.33773.57MIN: 587.11 / MAX: 994.76MIN: 586.49 / MAX: 988.95MIN: 586.86 / MAX: 988.64MIN: 585.79 / MAX: 989.331. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p1234140280420560700Min: 773.74 / Avg: 775.54 / Max: 776.59Min: 772.94 / Avg: 774.42 / Max: 776.01Min: 773.24 / Avg: 774.33 / Max: 775.1Min: 771.02 / Avg: 773.57 / Max: 776.41. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K123450100150200250SE +/- 0.14, N = 3SE +/- 0.19, N = 3SE +/- 0.45, N = 3SE +/- 0.20, N = 3234.16233.77233.81234.04MIN: 193.15 / MAX: 262.47MIN: 195.31 / MAX: 261.8MIN: 194.08 / MAX: 262.55MIN: 194.97 / MAX: 2611. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K12344080120160200Min: 233.91 / Avg: 234.16 / Max: 234.41Min: 233.46 / Avg: 233.77 / Max: 234.11Min: 232.92 / Avg: 233.81 / Max: 234.29Min: 233.69 / Avg: 234.04 / Max: 234.371. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p1234140280420560700SE +/- 1.26, N = 3SE +/- 3.33, N = 3SE +/- 1.00, N = 3SE +/- 9.63, N = 4664.26660.72661.89652.08MIN: 486.53 / MAX: 729.82MIN: 460.61 / MAX: 730.43MIN: 481.21 / MAX: 728.36MIN: 303.69 / MAX: 727.581. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p1234120240360480600Min: 661.79 / Avg: 664.26 / Max: 665.9Min: 654.56 / Avg: 660.72 / Max: 665.97Min: 660.2 / Avg: 661.89 / Max: 663.67Min: 623.23 / Avg: 652.08 / Max: 663.011. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit1234306090120150SE +/- 0.15, N = 3SE +/- 0.24, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3115.80115.62115.80115.74MIN: 75.91 / MAX: 259.68MIN: 75.89 / MAX: 255.43MIN: 75.96 / MAX: 255.51MIN: 76 / MAX: 253.421. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit123420406080100Min: 115.59 / Avg: 115.8 / Max: 116.09Min: 115.35 / Avg: 115.62 / Max: 116.09Min: 115.65 / Avg: 115.8 / Max: 116.05Min: 115.7 / Avg: 115.74 / Max: 115.781. (CC) gcc options: -pthread

Timed Eigen Compilation

This test times how long it takes to build all Eigen examples. The Eigen examples are compiled serially. Eigen is a C++ template library for linear algebra. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile123420406080100SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 374.8974.7374.8974.85
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile12341428425670Min: 74.81 / Avg: 74.89 / Max: 75.01Min: 74.7 / Avg: 74.73 / Max: 74.77Min: 74.82 / Avg: 74.89 / Max: 75Min: 74.79 / Avg: 74.84 / Max: 74.94

Monkey Audio Encoding

This test times how long it takes to encode a sample WAV file to Monkey's Audio APE format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE12343691215SE +/- 0.02, N = 5SE +/- 0.03, N = 5SE +/- 0.03, N = 5SE +/- 0.01, N = 511.2011.2011.2011.251. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt
OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE12343691215Min: 11.16 / Avg: 11.2 / Max: 11.24Min: 11.15 / Avg: 11.2 / Max: 11.31Min: 11.15 / Avg: 11.2 / Max: 11.29Min: 11.23 / Avg: 11.25 / Max: 11.281. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

Opus Codec Encoding

Opus is an open audio codec. Opus is a lossy audio compression format designed primarily for interactive real-time applications over the Internet. This test uses Opus-Tools and measures the time required to encode a WAV file to Opus. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode12343691215SE +/- 0.02, N = 5SE +/- 0.02, N = 5SE +/- 0.02, N = 5SE +/- 0.02, N = 510.4210.4110.4210.431. (CXX) g++ options: -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode12343691215Min: 10.38 / Avg: 10.42 / Max: 10.49Min: 10.38 / Avg: 10.41 / Max: 10.48Min: 10.39 / Avg: 10.42 / Max: 10.49Min: 10.39 / Avg: 10.43 / Max: 10.491. (CXX) g++ options: -fvisibility=hidden -logg -lm

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha5121234400K800K1200K1600K2000KSE +/- 1026.67, N = 3SE +/- 1026.67, N = 31796533179858617985861796533
OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha5121234300K600K900K1200K1500KMin: 1795506 / Avg: 1796532.67 / Max: 1798586Min: 1795506 / Avg: 1796532.67 / Max: 1798586

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpool1234160K320K480K640K800KSE +/- 371.67, N = 3SE +/- 371.67, N = 3SE +/- 371.67, N = 3SE +/- 371.67, N = 3764640765011765011764640
OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpool1234130K260K390K520K650KMin: 764268 / Avg: 764639.67 / Max: 765383Min: 764268 / Avg: 765011.33 / Max: 765383Min: 764268 / Avg: 765011.33 / Max: 765383Min: 764268 / Avg: 764639.67 / Max: 765383

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Encryption12345001000150020002500SE +/- 21.94, N = 3SE +/- 1.99, N = 3SE +/- 5.72, N = 3SE +/- 4.75, N = 32340.62368.72366.72368.0
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Encryption1234400800120016002000Min: 2296.7 / Avg: 2340.57 / Max: 2363.5Min: 2364.9 / Avg: 2368.73 / Max: 2371.6Min: 2355.4 / Avg: 2366.73 / Max: 2373.7Min: 2363.1 / Avg: 2368 / Max: 2377.5

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Decryption12345001000150020002500SE +/- 7.25, N = 3SE +/- 1.51, N = 3SE +/- 3.07, N = 3SE +/- 2.71, N = 32350.42364.82364.92357.2
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Decryption1234400800120016002000Min: 2336.4 / Avg: 2350.37 / Max: 2360.7Min: 2362.3 / Avg: 2364.77 / Max: 2367.5Min: 2361.3 / Avg: 2364.9 / Max: 2371Min: 2354.1 / Avg: 2357.2 / Max: 2362.6

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Encryption12342004006008001000SE +/- 7.03, N = 3SE +/- 1.33, N = 3SE +/- 0.46, N = 3SE +/- 2.89, N = 3780.9789.4789.1786.9
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Encryption1234140280420560700Min: 766.9 / Avg: 780.93 / Max: 788.6Min: 787.1 / Avg: 789.4 / Max: 791.7Min: 788.5 / Avg: 789.1 / Max: 790Min: 781.7 / Avg: 786.87 / Max: 791.7

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Decryption12342004006008001000SE +/- 0.61, N = 3SE +/- 2.92, N = 3SE +/- 1.27, N = 3SE +/- 0.21, N = 3808.7806.0809.0809.5
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Decryption1234140280420560700Min: 807.5 / Avg: 808.7 / Max: 809.5Min: 800.4 / Avg: 806.03 / Max: 810.2Min: 807.6 / Avg: 808.97 / Max: 811.5Min: 809.1 / Avg: 809.5 / Max: 809.8

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Encryption1234100200300400500SE +/- 1.59, N = 3SE +/- 0.82, N = 3SE +/- 0.63, N = 3SE +/- 1.27, N = 3438.2440.8441.1440.2
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Encryption123480160240320400Min: 435 / Avg: 438.17 / Max: 439.9Min: 439.9 / Avg: 440.77 / Max: 442.4Min: 439.9 / Avg: 441.13 / Max: 442Min: 438 / Avg: 440.17 / Max: 442.4

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Decryption1234100200300400500SE +/- 0.49, N = 3SE +/- 0.40, N = 3SE +/- 6.51, N = 3SE +/- 0.42, N = 3443.3443.1437.1443.1
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Decryption123480160240320400Min: 442.4 / Avg: 443.3 / Max: 444.1Min: 442.6 / Avg: 443.1 / Max: 443.9Min: 424.1 / Avg: 437.1 / Max: 444.3Min: 442.3 / Avg: 443.1 / Max: 443.7

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Encryption12345001000150020002500SE +/- 3.99, N = 3SE +/- 1.28, N = 3SE +/- 4.02, N = 3SE +/- 3.99, N = 32168.02175.62174.62176.5
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Encryption1234400800120016002000Min: 2161.7 / Avg: 2168.03 / Max: 2175.4Min: 2173.2 / Avg: 2175.57 / Max: 2177.6Min: 2166.6 / Avg: 2174.57 / Max: 2179.5Min: 2169.4 / Avg: 2176.5 / Max: 2183.2

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Decryption12345001000150020002500SE +/- 4.89, N = 3SE +/- 2.58, N = 3SE +/- 3.86, N = 3SE +/- 1.49, N = 32176.02189.42182.82189.9
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Decryption1234400800120016002000Min: 2166.4 / Avg: 2176 / Max: 2182.4Min: 2184.3 / Avg: 2189.37 / Max: 2192.7Min: 2175.3 / Avg: 2182.8 / Max: 2188.1Min: 2187 / Avg: 2189.87 / Max: 2192

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Encryption12342004006008001000SE +/- 2.69, N = 3SE +/- 0.27, N = 3SE +/- 0.83, N = 3SE +/- 2.08, N = 3786.8788.5789.4788.3
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Encryption1234140280420560700Min: 782.1 / Avg: 786.8 / Max: 791.4Min: 788 / Avg: 788.53 / Max: 788.8Min: 787.7 / Avg: 789.37 / Max: 790.2Min: 785.6 / Avg: 788.3 / Max: 792.4

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Decryption12342004006008001000SE +/- 0.90, N = 3SE +/- 0.87, N = 3SE +/- 5.20, N = 3SE +/- 2.02, N = 3808.8809.0805.4806.6
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Decryption1234140280420560700Min: 807.2 / Avg: 808.83 / Max: 810.3Min: 807.5 / Avg: 809.03 / Max: 810.5Min: 795 / Avg: 805.4 / Max: 810.9Min: 802.7 / Avg: 806.63 / Max: 809.4

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Encryption1234100200300400500SE +/- 0.45, N = 3SE +/- 0.59, N = 3SE +/- 0.72, N = 3SE +/- 0.62, N = 3440.2440.8440.5440.6
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Encryption123480160240320400Min: 439.3 / Avg: 440.17 / Max: 440.8Min: 440.1 / Avg: 440.83 / Max: 442Min: 439.3 / Avg: 440.5 / Max: 441.8Min: 439.4 / Avg: 440.63 / Max: 441.3

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Decryption1234100200300400500SE +/- 0.31, N = 3SE +/- 0.12, N = 3SE +/- 0.96, N = 3SE +/- 0.23, N = 3442.6443.4442.9443.6
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Decryption123480160240320400Min: 442.2 / Avg: 442.6 / Max: 443.2Min: 443.2 / Avg: 443.4 / Max: 443.6Min: 441 / Avg: 442.9 / Max: 444.1Min: 443.2 / Avg: 443.6 / Max: 444

Mobile Neural Network

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.01234246810SE +/- 0.107, N = 3SE +/- 0.065, N = 3SE +/- 0.030, N = 3SE +/- 0.048, N = 37.7257.8707.7837.819MIN: 7.32 / MAX: 9.8MIN: 7.5 / MAX: 9.92MIN: 7.32 / MAX: 9.9MIN: 7.44 / MAX: 9.221. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.012343691215Min: 7.54 / Avg: 7.73 / Max: 7.91Min: 7.75 / Avg: 7.87 / Max: 7.97Min: 7.73 / Avg: 7.78 / Max: 7.82Min: 7.75 / Avg: 7.82 / Max: 7.911. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-501234918273645SE +/- 0.17, N = 3SE +/- 0.23, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 340.5540.8040.4740.50MIN: 39.97 / MAX: 78.97MIN: 40.35 / MAX: 75.92MIN: 39.9 / MAX: 48.6MIN: 40.25 / MAX: 45.961. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-501234816243240Min: 40.21 / Avg: 40.55 / Max: 40.78Min: 40.55 / Avg: 40.8 / Max: 41.25Min: 40.24 / Avg: 40.47 / Max: 40.66Min: 40.44 / Avg: 40.5 / Max: 40.591. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_22412341.03752.0753.11254.155.1875SE +/- 0.048, N = 3SE +/- 0.012, N = 3SE +/- 0.041, N = 3SE +/- 0.024, N = 34.5314.6114.5194.582MIN: 4.02 / MAX: 5.98MIN: 4.17 / MAX: 5.73MIN: 4.04 / MAX: 6.86MIN: 4.08 / MAX: 5.991. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_2241234246810Min: 4.44 / Avg: 4.53 / Max: 4.58Min: 4.59 / Avg: 4.61 / Max: 4.63Min: 4.44 / Avg: 4.52 / Max: 4.56Min: 4.54 / Avg: 4.58 / Max: 4.621. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.012340.61941.23881.85822.47763.097SE +/- 0.032, N = 3SE +/- 0.012, N = 3SE +/- 0.023, N = 3SE +/- 0.049, N = 32.7532.7122.7172.727MIN: 2.41 / MAX: 4.24MIN: 2.52 / MAX: 2.89MIN: 2.44 / MAX: 4.33MIN: 2.39 / MAX: 4.041. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.01234246810Min: 2.69 / Avg: 2.75 / Max: 2.8Min: 2.7 / Avg: 2.71 / Max: 2.74Min: 2.69 / Avg: 2.72 / Max: 2.76Min: 2.65 / Avg: 2.73 / Max: 2.821. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: inception-v312341224364860SE +/- 0.23, N = 3SE +/- 0.05, N = 3SE +/- 0.30, N = 3SE +/- 0.11, N = 351.7252.5551.5452.12MIN: 50.92 / MAX: 61.6MIN: 52.14 / MAX: 58.92MIN: 50.65 / MAX: 54.82MIN: 51.67 / MAX: 56.331. (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 1.1.1Model: inception-v312341122334455Min: 51.27 / Avg: 51.72 / Max: 51.99Min: 52.47 / Avg: 52.55 / Max: 52.63Min: 50.94 / Avg: 51.54 / Max: 51.86Min: 51.96 / Avg: 52.12 / Max: 52.321. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

WavPack Audio Encoding

This test times how long it takes to encode a sample WAV file to WavPack format with very high quality settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack123448121620SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 514.7914.7914.7914.791. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack123448121620Min: 14.78 / Avg: 14.79 / Max: 14.8Min: 14.79 / Avg: 14.79 / Max: 14.8Min: 14.79 / Avg: 14.79 / Max: 14.79Min: 14.78 / Avg: 14.79 / Max: 14.791. (CXX) g++ options: -rdynamic

Unpacking Firefox

This simple test profile measures how long it takes to extract the .tar.xz source package of the Mozilla Firefox Web Browser. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xz124510152025SE +/- 0.15, N = 4SE +/- 0.16, N = 19SE +/- 0.11, N = 419.7219.7719.69
OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xz124510152025Min: 19.41 / Avg: 19.72 / Max: 20.02Min: 19.38 / Avg: 19.77 / Max: 22.56Min: 19.47 / Avg: 19.69 / Max: 19.98

Kripke

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.412414M28M42M56M70MSE +/- 218961.39, N = 3SE +/- 103830.55, N = 3SE +/- 151605.59, N = 36485483364827057643704831. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.412411M22M33M44M55MMin: 64618430 / Avg: 64854833.33 / Max: 65292280Min: 64619400 / Avg: 64827056.67 / Max: 64932060Min: 64070710 / Avg: 64370483.33 / Max: 645598001. (CXX) g++ options: -O3 -fopenmp


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