Xeon Scalable Ice Lake P-State Governor

Intel Xeon Platinum 8380 Ice Lake P-State CPU frequency scaling Linux benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2105267-IB-XEONSCALA38
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P-State powersave
May 23 2021
  15 Hours, 42 Minutes
P-State performance
May 24 2021
  11 Hours, 14 Minutes
intel_cpufreq schedutil
May 24 2021
  15 Hours, 54 Minutes
intel_cpufreq performance
May 25 2021
  13 Hours, 43 Minutes
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P-State powersave

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --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: 0xd000270
Python Notes: Python 3.9.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

P-State performance

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --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 performance - CPU Microcode: 0xd000270
Python Notes: Python 3.9.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

intel_cpufreq schedutil

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --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_cpufreq schedutil - CPU Microcode: 0xd000270
Python Notes: Python 3.9.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

intel_cpufreq performance

Processor: 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads), Motherboard: Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS), Chipset: Intel Device 0998, Memory: 16 x 32 GB DDR4-3200MT/s Hynix HMA84GR7CJR4N-XN, Disk: 800GB INTEL SSDPF21Q800GB, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP

OS: Ubuntu 21.04, Kernel: 5.11.0-17-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server, Vulkan: 1.0.2, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --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_cpufreq performance - CPU Microcode: 0xd000270
Python Notes: Python 3.9.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Xeon Scalable Ice Lake P-State GovernorOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads)Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS)Intel Device 099816 x 32 GB DDR4-3200MT/s Hynix HMA84GR7CJR4N-XN800GB INTEL SSDPF21Q800GBASPEED2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFPUbuntu 21.045.11.0-17-generic (x86_64)GNOME Shell 3.38.4X Server1.0.2GCC 10.3.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionXeon Scalable Ice Lake P-State Governor BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --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 - P-State powersave: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd000270 - P-State performance: Scaling Governor: intel_pstate performance - CPU Microcode: 0xd000270 - intel_cpufreq schedutil: Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0xd000270 - intel_cpufreq performance: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0xd000270 - Python 3.9.4- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performanceResult OverviewPhoronix Test Suite100%148%195%243%290%AOM AV1KvazaarPostgreSQL pgbenchSVT-VP9SVT-HEVCSVT-AV1PJSIPTimed Godot Game Engine CompilationDarmstadt Automotive Parallel Heterogeneous SuiteZstd CompressionArrayFireOpenVKLlibavif avifencTimed Linux Kernel CompilationTimed Node.js CompilationRodiniaTensorFlow LiteNAS Parallel BenchmarksQuantum ESPRESSOEmbreeOSPrayBlenderTimed LLVM CompilationIntel Open Image DenoiseTimed Mesa CompilationOpenFOAMONNX RuntimeHigh Performance Conjugate GradientStockfishGROMACSLAMMPS Molecular Dynamics SimulatorLiquid-DSPXcompact3d Incompact3dRELIONNAMDWRFNWChem

P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performancePer Watt Result OverviewPhoronix Test Suite100%107%113%120%126%AOM AV1NAS Parallel BenchmarksSVT-HEVCIntel Open Image DenoiseOSPrayZstd CompressionKvazaarOpenVKLSVT-AV1StockfishEmbreeArrayFireDarmstadt Automotive Parallel Heterogeneous SuitePJSIPSVT-VP9ONNX RuntimeLiquid-DSPHigh Performance Conjugate GradientGROMACSLAMMPS Molecular Dynamics SimulatorP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

Xeon Scalable Ice Lake P-State Governorwrf: conus 2.5kmqe: AUSURF112openvkl: vklBenchmarkUnstructuredVolumenwchem: C240 Buckyballopenvkl: vklBenchmarkonnx: super-resolution-10 - OpenMP CPUpgbench: 1000 - 250 - Read Only - Average Latencypgbench: 1000 - 250 - Read Onlydaphne: OpenMP - Points2Imageonnx: bertsquad-10 - OpenMP CPUrelion: Basic - CPUaom-av1: Speed 6 Two-Pass - Bosphorus 4Kincompact3d: X3D-benchmarking input.i3dlammps: 20k Atomsrodinia: OpenMP Leukocyteonnx: shufflenet-v2-10 - OpenMP CPUpgbench: 1000 - 100 - Read Only - Average Latencypgbench: 1000 - 100 - Read Onlyopenvkl: vklBenchmarkVdbVolumepjsip: INVITEbuild-llvm: Unix Makefileshpcg: openfoam: Motorbike 60Mcompress-zstd: 19 - Decompression Speedcompress-zstd: 19 - Compression Speedbuild-llvm: Ninjaonnx: fcn-resnet101-11 - OpenMP CPUonnx: yolov4 - OpenMP CPUblender: Barbershop - CPU-Onlytensorflow-lite: Mobilenet Quantrodinia: OpenMP HotSpot3Dpgbench: 1000 - 250 - Read Write - Average Latencypgbench: 1000 - 250 - Read Writepgbench: 1000 - 100 - Read Write - Average Latencypgbench: 1000 - 100 - Read Writecompress-zstd: 19, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedbuild-nodejs: Time To Compilepjsip: OPTIONS, Statelessdaphne: OpenMP - NDT Mappingbuild-linux-kernel: Time To Compiledaphne: OpenMP - Euclidean Clusterblender: Classroom - CPU-Onlyavifenc: 6, Losslesspjsip: OPTIONS, Statefulaom-av1: Speed 6 Realtime - Bosphorus 4Ktensorflow-lite: Inception ResNet V2tensorflow-lite: Inception V4openfoam: Motorbike 30Mbuild-godot: Time To Compileaom-av1: Speed 9 Realtime - Bosphorus 4Kopenvkl: vklBenchmarkStructuredVolumestockfish: Total Timeospray: San Miguel - Path Tracerrodinia: OpenMP LavaMDcompress-zstd: 8, Long Mode - Compression Speedkvazaar: Bosphorus 4K - Very Fastliquid-dsp: 64 - 256 - 57kvazaar: Bosphorus 4K - Ultra Fastnpb: EP.Dgromacs: MPI CPU - water_GMX50_bareblender: BMW27 - CPU-Onlyavifenc: 10, Losslessaom-av1: Speed 8 Realtime - Bosphorus 4Koidn: RT.hdr_alb_nrm.3840x2160rodinia: OpenMP Streamclusterospray: San Miguel - SciVisospray: XFrog Forest - Path Tracersvt-av1: Preset 8 - Bosphorus 4Knamd: ATPase Simulation - 327,506 Atomsoidn: RTLightmap.hdr.4096x4096embree: Pathtracer ISPC - Asian Dragon Objnpb: BT.Cospray: XFrog Forest - SciVisliquid-dsp: 160 - 256 - 57liquid-dsp: 128 - 256 - 57arrayfire: Conjugate Gradient CPUnpb: SP.Cnpb: IS.Darrayfire: BLAS CPUavifenc: 10build-mesa: Time To Compileoidn: RT.ldr_alb_nrm.3840x2160ospray: NASA Streamlines - Path Tracerembree: Pathtracer ISPC - Crownnpb: LU.Cincompact3d: input.i3d 193 Cells Per Directionrodinia: OpenMP CFD Solversvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pembree: Pathtracer ISPC - Asian Dragonsvt-vp9: VMAF Optimized - Bosphorus 1080psvt-hevc: 7 - Bosphorus 1080pospray: Magnetic Reconnection - SciVisnpb: FT.Cnpb: CG.Cospray: NASA Streamlines - SciVisnpb: SP.Bnpb: EP.Csvt-hevc: 10 - Bosphorus 1080pnpb: MG.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance9892.421106.6917572691882.367068980.2779064346634.58509350.2663.94290.41110235.49569.04982120.256393329217223262548199.39840.1359105.032563.282.7129.272196480107.7341126.8104.33910.723234114.283233832711.646.7102.19741421742.3024.881831.3372.1737.46937697.3857206568215314.9275.61223.597197443817703112210.4239.815296.013.26302990000023.038620.978.99929.728.83317.072.857.71090.9110.3830.5460.270931.3887.2092191166.4118.87307393333332701333334.29291313.602999.724538.695.20518.9832.8727.7866.5251174911.0211.19165664.827206.54106.6219210.92168.38111.1190989.7339485.72125114946.466051.90258.65116754.169885.5561178.5218038401888.281166260.27192419013527.238996430477349.9939.69290.14333135.82546.35883920.0811236713299965395393190.68540.6471104.762561.886.7127.321194483105.1033656.3104.1853.774664931.588630492677.949.190.85042389924.8421.4861020.7771.2730.3451036219.0957214966370714.7948.15761.0610605645817713142810.4539.4231011.938.21306613333346.318920.109.05228.407.24848.622.937.81610010.3156.8870.271681.4089.0895197815.3118.87308510000032930000006.13191817.763014.774539.994.34118.4972.9327.7874.0551187300.4711.05545094.746453.67107.6307460.44305.77114.81100543.7240261.26142.86123544.097610.18576.99120084.279889.9071156.491748017188071867560.2858853797077.76504349.4364.00290.41669735.79263.28683340.0811228570235992492540191.17340.0659105.102594.781.5127.688194483107.3935239.0104.1843.814657262.740365772693.446.191.85741743743.0122.190884.7572.2431.98737975.8657163267225415.0753.00121.727799762817544618210.3839.199311.711.30300312500020.538634.309.04229.258.48615.902.787.71290.9110.3135.4800.272271.3887.9927191705.0218.87308253333332914666676.45491642.332926.264510.295.13418.7542.8827.7867.7540177878.6811.20541794.710260.25102.7043262.78193.80111.1191970.9939430.66125115501.416157.58345.48117869.499875.2641175.6918096671882.282169550.28887646213249.678695875503349.02810.01289.97558635.84947.10583800.0811231983300163185416191.80140.8311104.272609.783.1127.332197476104.5133581.3104.0883.791661861.594628262713.148.391.08142338914.7021.4101021.6271.2230.0141040919.2057267967742114.4948.65161.2710670464117862947410.4239.7461015.838.26307260000046.348938.099.10228.287.27648.912.937.72710010.3156.7500.270511.4089.4905197821.8818.87309670000032934000004.00591830.562978.524574.834.34018.5172.9327.7874.2420186973.0611.05617484.729457.02106.1736464.71309.13112.96100763.1140226.02142.86123176.727705.44574.88120124.05OpenBenchmarking.org

WRF

WRF, the Weather Research and Forecasting Model, is a "next-generation mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications. It features two dynamical cores, a data assimilation system, and a software architecture supporting parallel computation and system extensibility." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWRF 4.2.2Input: conus 2.5kmP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil2K4K6K8K10K9885.569892.429875.269889.911. (F9X) gfortran options: -O2 -ftree-vectorize -funroll-loops -ffree-form -fconvert=big-endian -frecord-marker=4 -fallow-invalid-boz -lesmf_time -lwrfio_nf -lnetcdff -lnetcdf -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgMegahertz, More Is BetterWRF 4.2.2CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2953 / Avg: 3010.99 / Max: 3403Min: 938 / Avg: 3009.34 / Max: 3537Min: 2950 / Avg: 3010.05 / Max: 3403Min: 2904 / Avg: 3009.83 / Max: 3400
OpenBenchmarking.orgWatts, Fewer Is BetterWRF 4.2.2CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 170.31 / Avg: 533.23 / Max: 579.12Min: 143.32 / Avg: 534.46 / Max: 576.03Min: 152.56 / Avg: 535.01 / Max: 577.46Min: 153.97 / Avg: 535.42 / Max: 576.31
OpenBenchmarking.orgCelsius, Fewer Is BetterWRF 4.2.2CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 55 / Avg: 67.24 / Max: 74Min: 52 / Avg: 68.72 / Max: 74Min: 55 / Avg: 69.28 / Max: 74Min: 55 / Avg: 70.13 / Max: 74

Quantum ESPRESSO

Quantum ESPRESSO is an integrated suite of Open-Source computer codes for electronic-structure calculations and materials modeling at the nanoscale. It is based on density-functional theory, plane waves, and pseudopotentials. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF112P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil30060090012001500SE +/- 1.74, N = 3SE +/- 19.34, N = 9SE +/- 17.96, N = 9SE +/- 22.92, N = 91178.521106.691175.691156.491. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgMegahertz, More Is BetterQuantum ESPRESSO 6.7CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3103 / Avg: 3296.48 / Max: 3518Min: 801 / Avg: 3232.42 / Max: 3439Min: 3104 / Avg: 3274.2 / Max: 3471Min: 1730 / Avg: 3291.57 / Max: 3413
OpenBenchmarking.orgWatts, Fewer Is BetterQuantum ESPRESSO 6.7CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 160.57 / Avg: 445.81 / Max: 620.76Min: 79.28 / Avg: 433.06 / Max: 589.04Min: 175.37 / Avg: 445.55 / Max: 632.58Min: 103.54 / Avg: 441.63 / Max: 586.011. P-State performance: Approximate power consumption of 123045 Joules per run.2. P-State powersave: Approximate power consumption of 113750 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 121338 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 121202 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterQuantum ESPRESSO 6.7CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 48 / Avg: 64.61 / Max: 75Min: 43 / Avg: 64.58 / Max: 79Min: 47 / Avg: 66.29 / Max: 78Min: 46 / Avg: 65.52 / Max: 77

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil400K800K1200K1600K2000KSE +/- 8888.13, N = 3SE +/- 19689.28, N = 3SE +/- 4355.52, N = 3SE +/- 4960.83, N = 31803840175726918096671748017MIN: 24013 / MAX: 5810552MIN: 18102 / MAX: 5872318MIN: 24362 / MAX: 5849692MIN: 13879 / MAX: 5825120
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil160032004800640080006287.407267.586326.147409.47
OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3403 / Avg: 3403.86 / Max: 3424Min: 801 / Avg: 3261.95 / Max: 3422Min: 3403 / Avg: 3403.82 / Max: 3432Min: 1433 / Avg: 3207.79 / Max: 3416
OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil60120180240300Min: 166.02 / Avg: 286.9 / Max: 341.56Min: 56.53 / Avg: 241.8 / Max: 276.77Min: 150.05 / Avg: 286.06 / Max: 358.39Min: 61.03 / Avg: 235.92 / Max: 281.71. P-State performance: Approximate power consumption of 56614 Joules per run.2. P-State powersave: Approximate power consumption of 51825 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 56259 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 52924 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1224364860Min: 46 / Avg: 53.86 / Max: 60Min: 39 / Avg: 50 / Max: 56Min: 48 / Avg: 55.69 / Max: 62Min: 40 / Avg: 52.15 / Max: 62

NWChem

NWChem is an open-source high performance computational chemistry package. Per NWChem's documentation, "NWChem aims to provide its users with computational chemistry tools that are scalable both in their ability to treat large scientific computational chemistry problems efficiently, and in their use of available parallel computing resources from high-performance parallel supercomputers to conventional workstation clusters." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil4008001200160020001888.21882.31882.21880.01. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2
OpenBenchmarking.orgMegahertz, More Is BetterNWChem 7.0.2CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3003 / Avg: 3016.7 / Max: 3409Min: 801 / Avg: 3006.67 / Max: 3409Min: 3003 / Avg: 3017.71 / Max: 3409Min: 2300 / Avg: 3014.92 / Max: 3409
OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 213.62 / Avg: 516.56 / Max: 576.3Min: 82.91 / Avg: 514.53 / Max: 622.82Min: 213.85 / Avg: 516.63 / Max: 594.53Min: 130.43 / Avg: 515.2 / Max: 592.97
OpenBenchmarking.orgCelsius, Fewer Is BetterNWChem 7.0.2CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 55 / Avg: 70.49 / Max: 79Min: 52 / Avg: 72.4 / Max: 78Min: 58 / Avg: 70.72 / Max: 77Min: 53 / Avg: 70.52 / Max: 76

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil2004006008001000SE +/- 2.67, N = 3SE +/- 2.19, N = 3SE +/- 2.40, N = 3SE +/- 8.72, N = 3811670821718MIN: 1 / MAX: 3166MIN: 1 / MAX: 2830MIN: 1 / MAX: 3226MIN: 1 / MAX: 3134
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.82241.64482.46723.28964.1122.8963.5362.9143.655
OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3002 / Avg: 3378.81 / Max: 3428Min: 801 / Avg: 2763.9 / Max: 3436Min: 3002 / Avg: 3388 / Max: 3424Min: 801 / Avg: 2708.07 / Max: 3426
OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 176.73 / Avg: 280.09 / Max: 541.64Min: 66.83 / Avg: 189.47 / Max: 352.92Min: 177.07 / Avg: 281.76 / Max: 555.66Min: 72.16 / Avg: 196.44 / Max: 369.151. P-State performance: Approximate power consumption of 30530 Joules per run.2. P-State powersave: Approximate power consumption of 30316 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 29679 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 30579 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265Min: 48 / Avg: 54.24 / Max: 65Min: 38 / Avg: 43.52 / Max: 56Min: 51 / Avg: 56.57 / Max: 69Min: 42 / Avg: 47.87 / Max: 61

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil15003000450060007500SE +/- 200.91, N = 12SE +/- 205.17, N = 12SE +/- 156.45, N = 12SE +/- 210.11, N = 1266266898695567561. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil4812162014.4314.9915.0314.62
OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3000 / Avg: 3021.87 / Max: 3406Min: 801 / Avg: 2986.56 / Max: 3006Min: 3000 / Avg: 3023.24 / Max: 3403Min: 3000 / Avg: 3012.86 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 187.38 / Avg: 459.1 / Max: 563.8Min: 116.19 / Avg: 460.29 / Max: 567.14Min: 175.74 / Avg: 462.81 / Max: 568.1Min: 196.63 / Avg: 462.28 / Max: 560.861. P-State performance: Approximate power consumption of 12663 Joules per run.2. P-State powersave: Approximate power consumption of 12351 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 12727 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 12713 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 52 / Avg: 70.54 / Max: 75Min: 53 / Avg: 67.25 / Max: 72Min: 50 / Avg: 66.11 / Max: 74Min: 52 / Avg: 70.57 / Max: 75

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Only - Average LatencyP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.06480.12960.19440.25920.324SE +/- 0.003, N = 3SE +/- 0.002, N = 15SE +/- 0.006, N = 15SE +/- 0.005, N = 150.2710.2770.2880.2851. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3000 / Avg: 3365.53 / Max: 3407Min: 801 / Avg: 3022.44 / Max: 3437Min: 2190 / Avg: 3355.5 / Max: 3436Min: 958 / Avg: 3317.09 / Max: 3442
OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 161.84 / Avg: 257.1 / Max: 600.03Min: 55 / Avg: 231.4 / Max: 606.41Min: 148.8 / Avg: 257.7 / Max: 600.3Min: 65.29 / Avg: 245.6 / Max: 612.071. P-State performance: Approximate power consumption of 6428 Joules per run.2. P-State powersave: Approximate power consumption of 5970 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 6374 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 6189 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265Min: 45 / Avg: 48.52 / Max: 62Min: 39 / Avg: 50.83 / Max: 66Min: 49 / Avg: 55.19 / Max: 67Min: 41 / Avg: 51.26 / Max: 65

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read OnlyP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil200K400K600K800K1000KSE +/- 9754.80, N = 3SE +/- 7359.52, N = 15SE +/- 16646.22, N = 15SE +/- 15445.86, N = 159241909064348764628853791. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil3K6K9K12K15KSE +/- 114.27, N = 15SE +/- 86.30, N = 3SE +/- 100.42, N = 15SE +/- 115.67, N = 1213527.246634.5813249.687077.761. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil122436486051.3642.6250.2945.67
OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3400 / Avg: 3403.32 / Max: 3410Min: 802 / Avg: 2620.09 / Max: 3390Min: 3401 / Avg: 3403.26 / Max: 3407Min: 871 / Avg: 2612.11 / Max: 3399
OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil50100150200250Min: 159.97 / Avg: 263.4 / Max: 291.52Min: 79.98 / Avg: 155.67 / Max: 242.91Min: 154.09 / Avg: 263.44 / Max: 299.25Min: 60.89 / Avg: 154.96 / Max: 248.131. P-State performance: Approximate power consumption of 5549 Joules per run.2. P-State powersave: Approximate power consumption of 4670 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 5585 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 4559 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1224364860Min: 46 / Avg: 51.95 / Max: 54Min: 35 / Avg: 37.49 / Max: 42Min: 48 / Avg: 54.09 / Max: 63Min: 37 / Avg: 41.68 / Max: 47

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550SE +/- 2.17, N = 3SE +/- 10.98, N = 9SE +/- 6.15, N = 12SE +/- 8.53, N = 124775095035041. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.25670.51340.77011.02681.28351.0641.1411.1131.117
OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3000 / Avg: 3024.65 / Max: 3407Min: 801 / Avg: 2966.78 / Max: 3401Min: 3000 / Avg: 3028.08 / Max: 3404Min: 2202 / Avg: 3018.2 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 154.61 / Avg: 448.18 / Max: 538.49Min: 134.9 / Avg: 446.21 / Max: 551.94Min: 182.92 / Avg: 451.81 / Max: 550.15Min: 171.12 / Avg: 451.38 / Max: 550.481. P-State performance: Approximate power consumption of 12400 Joules per run.2. P-State powersave: Approximate power consumption of 11899 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 12312 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 12300 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 54 / Avg: 65.08 / Max: 67Min: 50 / Avg: 64.79 / Max: 70Min: 53 / Avg: 68.18 / Max: 71Min: 53 / Avg: 66.62 / Max: 70

RELION

RELION - REgularised LIkelihood OptimisatioN - is a stand-alone computer program for Maximum A Posteriori refinement of (multiple) 3D reconstructions or 2D class averages in cryo-electron microscopy (cryo-EM). It is developed in the research group of Sjors Scheres at the MRC Laboratory of Molecular Biology. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil80160240320400SE +/- 1.34, N = 3SE +/- 1.16, N = 3SE +/- 1.39, N = 3SE +/- 1.38, N = 3349.99350.27349.03349.441. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgMegahertz, More Is BetterRELION 3.1.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2941 / Avg: 3006.83 / Max: 3403Min: 801 / Avg: 2964.92 / Max: 3200Min: 2908 / Avg: 3002.5 / Max: 3403Min: 1501 / Avg: 2988.71 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterRELION 3.1.1CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 169.67 / Avg: 535.45 / Max: 615.01Min: 66.85 / Avg: 530.91 / Max: 618.21Min: 150.2 / Avg: 534.93 / Max: 618.17Min: 65.22 / Avg: 533.95 / Max: 616.151. P-State performance: Approximate power consumption of 43372 Joules per run.2. P-State powersave: Approximate power consumption of 43004 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 43508 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 43072 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterRELION 3.1.1CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 49 / Avg: 67.97 / Max: 76Min: 32 / Avg: 67.93 / Max: 77Min: 50 / Avg: 67.63 / Max: 76Min: 37 / Avg: 67.3 / Max: 76

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil3691215SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 129.693.9410.014.001. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.00740.01480.02220.02960.0370.0320.0310.0330.025
OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3400 / Avg: 3404.38 / Max: 3434Min: 801 / Avg: 2263.2 / Max: 3318Min: 3403 / Avg: 3403.73 / Max: 3409Min: 908 / Avg: 2962.81 / Max: 3409
OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil60120180240300Min: 203.67 / Avg: 301.44 / Max: 346.48Min: 54.55 / Avg: 125.47 / Max: 223.38Min: 188.59 / Avg: 303.12 / Max: 339.22Min: 64.3 / Avg: 160.5 / Max: 249.641. P-State performance: Approximate power consumption of 6531 Joules per run.2. P-State powersave: Approximate power consumption of 6106 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 6467 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 7958 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1224364860Min: 45 / Avg: 51.62 / Max: 62Min: 31 / Avg: 35.47 / Max: 41Min: 45 / Avg: 47.23 / Max: 53Min: 34 / Avg: 42.78 / Max: 58

Xcompact3d Incompact3d

Xcompact3d 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 BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil60120180240300SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3290.14290.41289.98290.421. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgMegahertz, More Is BetterXcompact3d Incompact3d 2021-03-11CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3002 / Avg: 3019.16 / Max: 3403Min: 801 / Avg: 2969.41 / Max: 3313Min: 3002 / Avg: 3018.64 / Max: 3403Min: 2213 / Avg: 3013.97 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 185.04 / Avg: 533.55 / Max: 582.49Min: 138.66 / Avg: 529.97 / Max: 567.24Min: 180.81 / Avg: 533.48 / Max: 577.73Min: 95.31 / Avg: 533.15 / Max: 570.271. P-State performance: Approximate power consumption of 37349 Joules per run.2. P-State powersave: Approximate power consumption of 37451 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 37343 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 37498 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 50 / Avg: 68.19 / Max: 73Min: 49 / Avg: 65.82 / Max: 74Min: 50 / Avg: 68.2 / Max: 73Min: 48 / Avg: 67.15 / Max: 74

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 29Oct2020Model: 20k AtomsP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil816243240SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 335.8335.5035.8535.791. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.01510.03020.04530.06040.07550.0670.0670.0670.067
OpenBenchmarking.orgMegahertz, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3000 / Avg: 3017.98 / Max: 3403Min: 802 / Avg: 2980.72 / Max: 3204Min: 3000 / Avg: 3018.17 / Max: 3403Min: 3002 / Avg: 3014.64 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 191.19 / Avg: 535.54 / Max: 569.62Min: 124.11 / Avg: 531.53 / Max: 568.45Min: 188.96 / Avg: 534.89 / Max: 577.69Min: 149.36 / Avg: 532.54 / Max: 567.471. P-State performance: Approximate power consumption of 31419 Joules per run.2. P-State powersave: Approximate power consumption of 31360 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 31023 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 31065 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 49 / Avg: 70.96 / Max: 76Min: 48 / Avg: 71.22 / Max: 75Min: 50 / Avg: 72.05 / Max: 74Min: 51 / Avg: 69.84 / Max: 72

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075SE +/- 0.64, N = 12SE +/- 0.69, N = 6SE +/- 0.69, N = 15SE +/- 1.35, N = 1546.3669.0547.1163.291. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3233 / Avg: 3403.14 / Max: 3414Min: 801 / Avg: 2358.38 / Max: 3401Min: 3400 / Avg: 3404.31 / Max: 3417Min: 1444 / Avg: 2684.73 / Max: 3413
OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil80160240320400Min: 190.97 / Avg: 348.5 / Max: 420.44Min: 71.33 / Avg: 180.52 / Max: 301.33Min: 157.21 / Avg: 348.25 / Max: 425.7Min: 59.89 / Avg: 223.22 / Max: 369.451. P-State performance: Approximate power consumption of 4066 Joules per run.2. P-State powersave: Approximate power consumption of 3129 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 4179 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 3542 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 57 / Avg: 71.56 / Max: 78Min: 43 / Avg: 50.54 / Max: 59Min: 58 / Avg: 70.74 / Max: 77Min: 46 / Avg: 55.88 / Max: 66

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil2K4K6K8K10KSE +/- 25.12, N = 3SE +/- 58.56, N = 12SE +/- 24.06, N = 3SE +/- 65.66, N = 383928212838083341. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil51015202519.9219.4319.8719.67
OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2943 / Avg: 3003.63 / Max: 3403Min: 801 / Avg: 2973.98 / Max: 3005Min: 2944 / Avg: 3012.45 / Max: 3403Min: 2943 / Avg: 3007.76 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil90180270360450Min: 190.15 / Avg: 421.22 / Max: 500.37Min: 138.02 / Avg: 422.58 / Max: 516Min: 155.28 / Avg: 421.79 / Max: 507.17Min: 185.49 / Avg: 423.65 / Max: 515.151. P-State performance: Approximate power consumption of 11654 Joules per run.2. P-State powersave: Approximate power consumption of 11269 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 11529 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 11297 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265Min: 55 / Avg: 62.96 / Max: 64Min: 52 / Avg: 64.51 / Max: 67Min: 52 / Avg: 60.32 / Max: 62Min: 54 / Avg: 63.75 / Max: 65

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read Only - Average LatencyP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.05760.11520.17280.23040.288SE +/- 0.000, N = 3SE +/- 0.005, N = 15SE +/- 0.000, N = 3SE +/- 0.001, N = 30.0810.2560.0810.0811. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3000 / Avg: 3354.76 / Max: 3413Min: 801 / Avg: 2821.03 / Max: 3436Min: 3000 / Avg: 3361.95 / Max: 3441Min: 1652 / Avg: 3301.91 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 150.38 / Avg: 256.11 / Max: 607.4Min: 55.17 / Avg: 180.92 / Max: 370.22Min: 148.4 / Avg: 260.23 / Max: 604.15Min: 68.62 / Avg: 244.41 / Max: 617.11. P-State performance: Approximate power consumption of 6232 Joules per run.2. P-State powersave: Approximate power consumption of 4704 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 6506 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 6110 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265Min: 45 / Avg: 48.57 / Max: 63Min: 39 / Avg: 45.32 / Max: 55Min: 50 / Avg: 54 / Max: 67Min: 37 / Avg: 47.11 / Max: 62

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read OnlyP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil300K600K900K1200K1500KSE +/- 5304.66, N = 3SE +/- 8388.30, N = 15SE +/- 3615.78, N = 3SE +/- 11834.71, N = 31236713393329123198312285701. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6M12M18M24M30MSE +/- 268896.33, N = 15SE +/- 47580.68, N = 3SE +/- 349026.46, N = 15SE +/- 38895.86, N = 329996539217223263001631823599249MIN: 979600 / MAX: 247803840MIN: 1031810 / MAX: 151043112MIN: 979586 / MAX: 253907928MIN: 1060641 / MAX: 156949416
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil30K60K90K120K150K125723.06123147.50126322.91118699.08
OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3402 / Avg: 3403.89 / Max: 3411Min: 801 / Avg: 2992.78 / Max: 3400Min: 3400 / Avg: 3403.53 / Max: 3410Min: 1702 / Avg: 3240.62 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil60120180240300Min: 147.72 / Avg: 238.59 / Max: 361.16Min: 70.67 / Avg: 176.39 / Max: 222.85Min: 160.47 / Avg: 237.62 / Max: 341.58Min: 71.3 / Avg: 198.82 / Max: 249.741. P-State performance: Approximate power consumption of 4024 Joules per run.2. P-State powersave: Approximate power consumption of 2999 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 3992 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 3446 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1224364860Min: 46 / Avg: 50.53 / Max: 62Min: 43 / Avg: 47.59 / Max: 55Min: 45 / Avg: 46.93 / Max: 58Min: 42 / Avg: 48.06 / Max: 56

PJSIP

PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. It combines signaling protocol (SIP) with rich multimedia framework and NAT traversal functionality into high level API that is portable and suitable for almost any type of systems ranging from desktops, embedded systems, to mobile handsets. This test profile is making use of pjsip-perf with both the client/server on teh system. More details on the PJSIP benchmark at https://www.pjsip.org/high-performance-sip.htm Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: INVITEP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil12002400360048006000SE +/- 7.17, N = 3SE +/- 29.86, N = 15SE +/- 15.21, N = 3SE +/- 50.72, N = 1553932548541625401. (CC) gcc options: -lstdc++ -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2
OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: INVITEP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil61218243023.2724.5823.0523.62
OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3400 / Avg: 3404.16 / Max: 3409Min: 801 / Avg: 963.23 / Max: 3400Min: 3403 / Avg: 3404.52 / Max: 3414Min: 801 / Avg: 1738.34 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil50100150200250Min: 166.83 / Avg: 231.78 / Max: 281.1Min: 59.12 / Avg: 103.68 / Max: 116.59Min: 184.16 / Avg: 235.01 / Max: 256.39Min: 60.85 / Avg: 107.56 / Max: 231.741. P-State performance: Approximate power consumption of 3863 Joules per run.2. P-State powersave: Approximate power consumption of 1707 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 3917 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 1800 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1122334455Min: 44 / Avg: 46.36 / Max: 49Min: 32 / Avg: 33.74 / Max: 39Min: 51 / Avg: 53.48 / Max: 57Min: 32 / Avg: 36.64 / Max: 55

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: Unix MakefilesP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil4080120160200SE +/- 1.07, N = 3SE +/- 1.18, N = 3SE +/- 0.59, N = 3SE +/- 1.14, N = 3190.69199.40191.80191.17
OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 12.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2843 / Avg: 3319.04 / Max: 3409Min: 802 / Avg: 3095.38 / Max: 3407Min: 2196 / Avg: 3310.89 / Max: 3413Min: 2302 / Avg: 3299.39 / Max: 3410
OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 12.0CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 184.11 / Avg: 391.71 / Max: 609.63Min: 76.02 / Avg: 346.41 / Max: 598.3Min: 185.15 / Avg: 392.69 / Max: 628.92Min: 88.72 / Avg: 370.44 / Max: 606.191. P-State performance: Approximate power consumption of 18410 Joules per run.2. P-State powersave: Approximate power consumption of 18937 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 18456 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 18646 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 12.0CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 49 / Avg: 64.64 / Max: 76Min: 40 / Avg: 60.34 / Max: 76Min: 50 / Avg: 64.4 / Max: 76Min: 42 / Avg: 62.91 / Max: 75

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil918273645SE +/- 0.20, N = 3SE +/- 0.17, N = 3SE +/- 0.21, N = 3SE +/- 0.12, N = 340.6540.1440.8340.071. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.01730.03460.05190.06920.08650.0760.0760.0770.076
OpenBenchmarking.orgMegahertz, More Is BetterHigh Performance Conjugate Gradient 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3002 / Avg: 3024.53 / Max: 3403Min: 802 / Avg: 2987.86 / Max: 3390Min: 3002 / Avg: 3022.98 / Max: 3403Min: 2200 / Avg: 3003.35 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 192.75 / Avg: 531.43 / Max: 567.44Min: 101.04 / Avg: 525.43 / Max: 566.64Min: 185.02 / Avg: 529.93 / Max: 567.52Min: 148.45 / Avg: 526.85 / Max: 566.971. P-State performance: Approximate power consumption of 23737 Joules per run.2. P-State powersave: Approximate power consumption of 24345 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 24023 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 24587 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 46 / Avg: 66.37 / Max: 74Min: 37 / Avg: 66.58 / Max: 75Min: 45 / Avg: 66.48 / Max: 75Min: 43 / Avg: 66.96 / Max: 76

OpenFOAM

OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60MP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil20406080100SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.16, N = 3SE +/- 0.38, N = 3104.76105.03104.27105.101. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 8CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3002 / Avg: 3170.68 / Max: 3413Min: 801 / Avg: 3052.57 / Max: 3405Min: 3002 / Avg: 3170.4 / Max: 3409Min: 2209 / Avg: 3157.13 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 153.86 / Avg: 418.2 / Max: 568.28Min: 81.08 / Avg: 392.53 / Max: 569.64Min: 172.89 / Avg: 415.84 / Max: 568.33Min: 125.27 / Avg: 401.31 / Max: 568.21. P-State performance: Approximate power consumption of 17286 Joules per run.2. P-State powersave: Approximate power consumption of 16748 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 16634 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 16587 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 8CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 46 / Avg: 62.41 / Max: 74Min: 44 / Avg: 60.83 / Max: 75Min: 46 / Avg: 62.85 / Max: 76Min: 45 / Avg: 62.49 / Max: 75

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression SpeedP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000SE +/- 5.29, N = 15SE +/- 16.96, N = 3SE +/- 4.37, N = 3SE +/- 4.60, N = 152561.82563.22609.72594.71. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression SpeedP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil36912159.74010.98010.02610.931
OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.5.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3400 / Avg: 3404.16 / Max: 3411Min: 801 / Avg: 3296.61 / Max: 3408Min: 3403 / Avg: 3403.91 / Max: 3407Min: 1007 / Avg: 3311.35 / Max: 3413
OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil70140210280350Min: 150.31 / Avg: 263.01 / Max: 417.73Min: 67.74 / Avg: 233.45 / Max: 355.39Min: 149.85 / Avg: 260.28 / Max: 397.19Min: 67.81 / Avg: 237.38 / Max: 377.121. P-State performance: Approximate power consumption of 3051 Joules per run.2. P-State powersave: Approximate power consumption of 2801 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 3037 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 2943 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.5.0CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265Min: 46 / Avg: 48.08 / Max: 59Min: 33 / Avg: 42.47 / Max: 55Min: 46 / Avg: 47.26 / Max: 53Min: 37 / Avg: 53.05 / Max: 65

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Compression SpeedP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil20406080100SE +/- 0.75, N = 15SE +/- 0.55, N = 3SE +/- 0.32, N = 3SE +/- 0.75, N = 1586.782.783.181.51. (CC) gcc options: -O3 -pthread -lz -llzma

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: NinjaP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil306090120150SE +/- 0.50, N = 3SE +/- 0.40, N = 3SE +/- 0.45, N = 3SE +/- 0.14, N = 3127.32129.27127.33127.69
OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 12.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2776 / Avg: 3108.25 / Max: 3408Min: 801 / Avg: 2869.77 / Max: 3404Min: 2775 / Avg: 3097.07 / Max: 3409Min: 1802 / Avg: 3071.29 / Max: 3407
OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 12.0CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 178.59 / Avg: 430.61 / Max: 612.15Min: 71.4 / Avg: 379.54 / Max: 618.58Min: 156.76 / Avg: 431.5 / Max: 617.02Min: 79.87 / Avg: 401.89 / Max: 622.421. P-State performance: Approximate power consumption of 13636 Joules per run.2. P-State powersave: Approximate power consumption of 13916 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 13808 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 13664 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 12.0CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 50 / Avg: 65.97 / Max: 80Min: 42 / Avg: 62.03 / Max: 77Min: 51 / Avg: 66.92 / Max: 78Min: 44 / Avg: 63.55 / Max: 76

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil4080120160200SE +/- 0.44, N = 3SE +/- 2.36, N = 3SE +/- 0.29, N = 3SE +/- 1.89, N = 31941961971941. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.10040.20080.30120.40160.5020.4350.4460.4400.434
OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2866 / Avg: 2951.22 / Max: 3404Min: 801 / Avg: 2879.74 / Max: 3400Min: 2855 / Avg: 2939.69 / Max: 3404Min: 2177 / Avg: 2919.11 / Max: 3404
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 156.48 / Avg: 445.99 / Max: 541.22Min: 99.38 / Avg: 439.73 / Max: 539.22Min: 204.08 / Avg: 447.86 / Max: 541.08Min: 111.09 / Avg: 447.16 / Max: 540.931. P-State performance: Approximate power consumption of 12042 Joules per run.2. P-State powersave: Approximate power consumption of 11580 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 11943 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 11924 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 54 / Avg: 68.07 / Max: 74Min: 51 / Avg: 66.74 / Max: 74Min: 49 / Avg: 63.51 / Max: 68Min: 52 / Avg: 66.36 / Max: 71

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500SE +/- 5.43, N = 3SE +/- 2.02, N = 3SE +/- 0.73, N = 3SE +/- 5.29, N = 34834804764831. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.24120.48240.72360.96481.2061.0631.0721.0541.068
OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2930 / Avg: 2991.57 / Max: 3404Min: 802 / Avg: 2904.31 / Max: 3007Min: 2927 / Avg: 2995.51 / Max: 3406Min: 2922 / Avg: 2975.15 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 179.49 / Avg: 454.46 / Max: 548.39Min: 154.46 / Avg: 447.71 / Max: 550.42Min: 207.94 / Avg: 451.61 / Max: 544.87Min: 124.64 / Avg: 452.09 / Max: 549.941. P-State performance: Approximate power consumption of 12271 Joules per run.2. P-State powersave: Approximate power consumption of 11939 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 12193 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 11905 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 57 / Avg: 68.64 / Max: 73Min: 54 / Avg: 68.09 / Max: 72Min: 51 / Avg: 61.63 / Max: 63Min: 55 / Avg: 68.99 / Max: 72

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL, NVIDIA OptiX, and NVIDIA CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: CPU-OnlyP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil20406080100SE +/- 0.34, N = 3SE +/- 0.44, N = 3SE +/- 0.20, N = 3SE +/- 0.55, N = 3105.10107.73104.51107.39
OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2904 / Avg: 3010.14 / Max: 3405Min: 802 / Avg: 2935.94 / Max: 3405Min: 2892 / Avg: 3013.58 / Max: 3408Min: 2301 / Avg: 2976.16 / Max: 3406
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 188.24 / Avg: 512.25 / Max: 623.46Min: 93.04 / Avg: 489.97 / Max: 623.45Min: 170.8 / Avg: 510.82 / Max: 630.78Min: 140.22 / Avg: 491.71 / Max: 619.191. P-State performance: Approximate power consumption of 12977 Joules per run.2. P-State powersave: Approximate power consumption of 12902 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 12430 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 12784 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 54 / Avg: 71.87 / Max: 76Min: 49 / Avg: 69.77 / Max: 75Min: 55 / Avg: 71.01 / Max: 75Min: 52 / Avg: 70.15 / Max: 76

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil9K18K27K36K45KSE +/- 117.93, N = 3SE +/- 711.79, N = 12SE +/- 61.65, N = 3SE +/- 352.77, N = 333656.341126.833581.335239.0
OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3000 / Avg: 3031.35 / Max: 3403Min: 801 / Avg: 2955.99 / Max: 3103Min: 3000 / Avg: 3050.43 / Max: 3404Min: 3000 / Avg: 3032.66 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 202.31 / Avg: 520.51 / Max: 620.26Min: 130.97 / Avg: 517.4 / Max: 615.04Min: 149.43 / Avg: 516.05 / Max: 608.65Min: 190.61 / Avg: 514.32 / Max: 606.861. P-State performance: Approximate power consumption of 7287 Joules per run.2. P-State powersave: Approximate power consumption of 7545 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 7569 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 7543 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 55 / Avg: 69.09 / Max: 73Min: 50 / Avg: 68.31 / Max: 72Min: 50 / Avg: 68.75 / Max: 73Min: 51 / Avg: 67.41 / Max: 71

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil20406080100SE +/- 0.01, N = 3SE +/- 0.44, N = 3SE +/- 0.52, N = 3SE +/- 0.27, N = 3104.19104.34104.09104.181. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3000 / Avg: 3333.93 / Max: 3408Min: 802 / Avg: 3276.59 / Max: 3406Min: 3000 / Avg: 3323.69 / Max: 3410Min: 2303 / Avg: 3305.22 / Max: 3406
OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 149.58 / Avg: 264.02 / Max: 525.19Min: 82.65 / Avg: 251.17 / Max: 526.13Min: 179.63 / Avg: 264.8 / Max: 537.03Min: 102.43 / Avg: 256.61 / Max: 517.461. P-State performance: Approximate power consumption of 6600 Joules per run.2. P-State powersave: Approximate power consumption of 6363 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 6532 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 6501 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265Min: 47 / Avg: 52.41 / Max: 62Min: 47 / Avg: 54.62 / Max: 65Min: 45 / Avg: 51.07 / Max: 62Min: 47 / Avg: 56.03 / Max: 67

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Write - Average LatencyP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil3691215SE +/- 0.023, N = 3SE +/- 0.071, N = 3SE +/- 0.023, N = 3SE +/- 0.017, N = 33.77410.7233.7913.8141. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3000 / Avg: 3360.3 / Max: 3410Min: 801 / Avg: 2791.53 / Max: 3405Min: 2185 / Avg: 3349.62 / Max: 3409Min: 1827 / Avg: 3302.13 / Max: 3407
OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil90180270360450Min: 152.81 / Avg: 240.52 / Max: 481.64Min: 56 / Avg: 170.88 / Max: 220.2Min: 151.86 / Avg: 243.7 / Max: 478.37Min: 60.78 / Avg: 227.04 / Max: 477.641. P-State performance: Approximate power consumption of 5933 Joules per run.2. P-State powersave: Approximate power consumption of 4500 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 6011 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 5752 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1224364860Min: 45 / Avg: 47.28 / Max: 56Min: 39 / Avg: 43.18 / Max: 47Min: 50 / Avg: 52.78 / Max: 62Min: 42 / Avg: 47.32 / Max: 57

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read WriteP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil14K28K42K56K70KSE +/- 391.43, N = 3SE +/- 156.62, N = 3SE +/- 405.25, N = 3SE +/- 301.39, N = 3664932341166186657261. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read Write - Average LatencyP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.96371.92742.89113.85484.8185SE +/- 0.007, N = 3SE +/- 0.009, N = 3SE +/- 0.004, N = 3SE +/- 0.035, N = 31.5884.2831.5942.7401. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3000 / Avg: 3361.3 / Max: 3413Min: 801 / Avg: 2758.61 / Max: 3405Min: 3000 / Avg: 3366.69 / Max: 3431Min: 1412 / Avg: 3064.14 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil80160240320400Min: 153.98 / Avg: 236.43 / Max: 436.73Min: 69.78 / Avg: 175.7 / Max: 221.6Min: 150.2 / Avg: 238.19 / Max: 441.78Min: 55.94 / Avg: 187.1 / Max: 309.861. P-State performance: Approximate power consumption of 5753 Joules per run.2. P-State powersave: Approximate power consumption of 4510 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 5875 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 4740 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1122334455Min: 44 / Avg: 48.99 / Max: 57Min: 41 / Avg: 46.64 / Max: 52Min: 48 / Avg: 51.33 / Max: 58Min: 39 / Avg: 44.66 / Max: 50

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read WriteP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil14K28K42K56K70KSE +/- 272.63, N = 3SE +/- 51.95, N = 3SE +/- 148.39, N = 3SE +/- 464.84, N = 3630492338362826365771. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression SpeedP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000SE +/- 9.19, N = 3SE +/- 4.94, N = 15SE +/- 2.06, N = 3SE +/- 8.19, N = 62677.92711.62713.12693.41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression SpeedP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil369121511.1012.4811.3112.20
OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.5.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3403 / Avg: 3404.42 / Max: 3409Min: 801 / Avg: 3287.63 / Max: 3409Min: 3403 / Avg: 3404.45 / Max: 3410Min: 1416 / Avg: 3332.19 / Max: 3409
OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil60120180240300Min: 150.32 / Avg: 241.36 / Max: 314.09Min: 69.33 / Avg: 217.28 / Max: 300.84Min: 179.45 / Avg: 239.91 / Max: 319.38Min: 55.97 / Avg: 220.85 / Max: 303.621. P-State performance: Approximate power consumption of 2655 Joules per run.2. P-State powersave: Approximate power consumption of 2477 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 2639 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 2503 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.5.0CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1122334455Min: 46 / Avg: 47.3 / Max: 50Min: 39 / Avg: 47.4 / Max: 51Min: 46 / Avg: 48.03 / Max: 56Min: 44 / Avg: 49.91 / Max: 53

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Compression SpeedP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1122334455SE +/- 0.21, N = 3SE +/- 0.32, N = 15SE +/- 0.20, N = 3SE +/- 0.46, N = 649.146.748.346.11. (CC) gcc options: -O3 -pthread -lz -llzma

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To CompileP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil20406080100SE +/- 0.15, N = 3SE +/- 0.59, N = 3SE +/- 0.49, N = 3SE +/- 0.27, N = 390.85102.2091.0891.86
OpenBenchmarking.orgMegahertz, More Is BetterTimed Node.js Compilation 15.11CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2806 / Avg: 3149.98 / Max: 3408Min: 801 / Avg: 2947.28 / Max: 3408Min: 2780 / Avg: 3147.34 / Max: 3406Min: 2200 / Avg: 3131.31 / Max: 3408
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 15.11CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 153.02 / Avg: 426.76 / Max: 615.07Min: 74.67 / Avg: 366.89 / Max: 608.43Min: 191.46 / Avg: 428.2 / Max: 624.53Min: 130.5 / Avg: 414.5 / Max: 631.571. P-State performance: Approximate power consumption of 9247 Joules per run.2. P-State powersave: Approximate power consumption of 9294 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 9135 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 9119 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Node.js Compilation 15.11CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 52 / Avg: 66.24 / Max: 76Min: 44 / Avg: 61 / Max: 75Min: 54 / Avg: 65.49 / Max: 75Min: 49 / Avg: 64.73 / Max: 75

PJSIP

PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. It combines signaling protocol (SIP) with rich multimedia framework and NAT traversal functionality into high level API that is portable and suitable for almost any type of systems ranging from desktops, embedded systems, to mobile handsets. This test profile is making use of pjsip-perf with both the client/server on teh system. More details on the PJSIP benchmark at https://www.pjsip.org/high-performance-sip.htm Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: OPTIONS, StatelessP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil9K18K27K36K45KSE +/- 274.68, N = 3SE +/- 341.07, N = 9SE +/- 83.53, N = 3SE +/- 380.67, N = 7423894142142338417431. (CC) gcc options: -lstdc++ -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2
OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: OPTIONS, StatelessP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil4080120160200163.09174.15160.57166.04
OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3403 / Avg: 3406.87 / Max: 3413Min: 801 / Avg: 3164.92 / Max: 3408Min: 3403 / Avg: 3407.66 / Max: 3435Min: 908 / Avg: 3357.09 / Max: 3409
OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil50100150200250Min: 180.96 / Avg: 259.92 / Max: 289.29Min: 68.19 / Avg: 237.85 / Max: 275.35Min: 183.32 / Avg: 263.67 / Max: 291.9Min: 67.48 / Avg: 251.41 / Max: 286.691. P-State performance: Approximate power consumption of 3292 Joules per run.2. P-State powersave: Approximate power consumption of 3066 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 3340 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 3232 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265Min: 43 / Avg: 44.53 / Max: 49Min: 32 / Avg: 41.2 / Max: 44Min: 48 / Avg: 52.84 / Max: 61Min: 34 / Avg: 54.69 / Max: 64

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil2004006008001000SE +/- 4.79, N = 3SE +/- 18.61, N = 15SE +/- 4.97, N = 3SE +/- 19.99, N = 14924.84742.30914.70743.011. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.99991.99982.99973.99964.99953.9484.4443.9134.322
OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3403 / Avg: 3403.75 / Max: 3407Min: 801 / Avg: 2819.74 / Max: 3406Min: 3403 / Avg: 3403.25 / Max: 3405Min: 801 / Avg: 2837.77 / Max: 3406
OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil50100150200250Min: 148.96 / Avg: 234.25 / Max: 277.2Min: 54.57 / Avg: 167.05 / Max: 233.35Min: 148.33 / Avg: 233.74 / Max: 287.41Min: 72.95 / Avg: 171.91 / Max: 241.751. P-State performance: Approximate power consumption of 1484 Joules per run.2. P-State powersave: Approximate power consumption of 1314 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 1558 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 1363 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1020304050Min: 46 / Avg: 48.15 / Max: 49Min: 35 / Avg: 38.64 / Max: 41Min: 47 / Avg: 49.55 / Max: 50Min: 40 / Avg: 44.28 / Max: 48

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20Time To CompileP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil612182430SE +/- 0.24, N = 5SE +/- 0.38, N = 15SE +/- 0.19, N = 7SE +/- 0.19, N = 1421.4924.8821.4122.19
OpenBenchmarking.orgMegahertz, More Is BetterTimed Linux Kernel Compilation 5.10.20CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2771 / Avg: 3289.63 / Max: 3409Min: 801 / Avg: 2455.32 / Max: 3405Min: 2870 / Avg: 3269.17 / Max: 3408Min: 2301 / Avg: 3260 / Max: 3408
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 166.69 / Avg: 336.83 / Max: 634.7Min: 59.39 / Avg: 255.49 / Max: 630.2Min: 180.46 / Avg: 338.45 / Max: 640.8Min: 80.75 / Avg: 318.65 / Max: 634.981. P-State performance: Approximate power consumption of 2358 Joules per run.2. P-State powersave: Approximate power consumption of 2214 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 2272 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 2231 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 50 / Avg: 57.63 / Max: 68Min: 40 / Avg: 51.9 / Max: 66Min: 51 / Avg: 59.23 / Max: 69Min: 45 / Avg: 57.89 / Max: 70

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil2004006008001000SE +/- 2.39, N = 3SE +/- 7.84, N = 15SE +/- 1.25, N = 3SE +/- 9.84, N = 151020.77831.331021.62884.751. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1.02352.0473.07054.0945.11753.7784.5493.8164.491
OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3403 / Avg: 3403.28 / Max: 3406Min: 801 / Avg: 2874.67 / Max: 3406Min: 3403 / Avg: 3403.06 / Max: 3404Min: 1391 / Avg: 2971.81 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil60120180240300Min: 211.57 / Avg: 270.16 / Max: 317.87Min: 62.15 / Avg: 182.76 / Max: 261.72Min: 209.75 / Avg: 267.71 / Max: 311.3Min: 75.63 / Avg: 197 / Max: 300.831. P-State performance: Approximate power consumption of 1621 Joules per run.2. P-State powersave: Approximate power consumption of 1304 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 1517 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 1340 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1020304050Min: 47 / Avg: 49.28 / Max: 52Min: 37 / Avg: 41.36 / Max: 47Min: 47 / Avg: 49.89 / Max: 52Min: 41 / Avg: 46.37 / Max: 50

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL, NVIDIA OptiX, and NVIDIA CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: CPU-OnlyP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1632486480SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.13, N = 371.2772.1771.2272.24
OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2775 / Avg: 2930.39 / Max: 3405Min: 801 / Avg: 2800.92 / Max: 3400Min: 2774 / Avg: 2917.84 / Max: 3405Min: 2200 / Avg: 2856.23 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 164.34 / Avg: 516.16 / Max: 627.03Min: 98.33 / Avg: 507.82 / Max: 635.97Min: 194.91 / Avg: 517.85 / Max: 638.04Min: 112.74 / Avg: 507.61 / Max: 624.141. P-State performance: Approximate power consumption of 8775 Joules per run.2. P-State powersave: Approximate power consumption of 8464 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 8631 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 8799 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 57 / Avg: 72.96 / Max: 77Min: 50 / Avg: 71.84 / Max: 76Min: 57 / Avg: 73.36 / Max: 78Min: 52 / Avg: 72.48 / Max: 78

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 6, LosslessP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil918273645SE +/- 0.22, N = 3SE +/- 0.28, N = 15SE +/- 0.20, N = 3SE +/- 0.41, N = 330.3537.4730.0131.991. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3403 / Avg: 3405.92 / Max: 3442Min: 801 / Avg: 3209.62 / Max: 3409Min: 3403 / Avg: 3404.75 / Max: 3410Min: 1421 / Avg: 3285.46 / Max: 3409
OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil80160240320400Min: 151.47 / Avg: 312.45 / Max: 462.52Min: 68.23 / Avg: 268.14 / Max: 414.9Min: 166.77 / Avg: 314.92 / Max: 476.65Min: 68.22 / Avg: 281.49 / Max: 459.661. P-State performance: Approximate power consumption of 2500 Joules per run.2. P-State powersave: Approximate power consumption of 2628 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 2519 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 2440 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 51 / Avg: 53.75 / Max: 58Min: 35 / Avg: 54.08 / Max: 71Min: 55 / Avg: 61.92 / Max: 73Min: 35 / Avg: 55.08 / Max: 69

PJSIP

PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. It combines signaling protocol (SIP) with rich multimedia framework and NAT traversal functionality into high level API that is portable and suitable for almost any type of systems ranging from desktops, embedded systems, to mobile handsets. This test profile is making use of pjsip-perf with both the client/server on teh system. More details on the PJSIP benchmark at https://www.pjsip.org/high-performance-sip.htm Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: OPTIONS, StatefulP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil2K4K6K8K10KSE +/- 0.58, N = 3SE +/- 31.56, N = 3SE +/- 6.00, N = 3SE +/- 13.93, N = 31036237691040937971. (CC) gcc options: -lstdc++ -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2
OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: OPTIONS, StatefulP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil102030405045.8738.1245.1238.23
OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3403 / Avg: 3404.96 / Max: 3428Min: 801 / Avg: 857.78 / Max: 2300Min: 3400 / Avg: 3406.87 / Max: 3483Min: 802 / Avg: 1510.35 / Max: 2300
OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil50100150200250Min: 185.94 / Avg: 225.91 / Max: 244.27Min: 62.46 / Avg: 98.88 / Max: 107.66Min: 166.97 / Avg: 230.68 / Max: 260.28Min: 63.54 / Avg: 99.31 / Max: 109.911. P-State performance: Approximate power consumption of 3615 Joules per run.2. P-State powersave: Approximate power consumption of 1648 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 3614 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 1622 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1122334455Min: 44 / Avg: 44.29 / Max: 45Min: 33 / Avg: 34.54 / Max: 36Min: 47 / Avg: 51.3 / Max: 53Min: 35 / Avg: 36.47 / Max: 38

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil510152025SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 0.02, N = 319.097.3819.205.861. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.01510.03020.04530.06040.07550.0670.0650.0670.052
OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3400 / Avg: 3403.38 / Max: 3404Min: 801 / Avg: 2129.7 / Max: 2305Min: 3403 / Avg: 3403.96 / Max: 3422Min: 1001 / Avg: 1788.15 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil60120180240300Min: 148.81 / Avg: 283.35 / Max: 319.8Min: 54.28 / Avg: 114.39 / Max: 126.64Min: 153.7 / Avg: 285.77 / Max: 321.6Min: 60.73 / Avg: 111.74 / Max: 120.311. P-State performance: Approximate power consumption of 2456 Joules per run.2. P-State powersave: Approximate power consumption of 2402 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 2477 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 2905 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1122334455Min: 43 / Avg: 44.81 / Max: 46Min: 30 / Avg: 32.83 / Max: 34Min: 45 / Avg: 48.73 / Max: 56Min: 34 / Avg: 36.54 / Max: 38

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil120K240K360K480K600KSE +/- 2262.00, N = 3SE +/- 1289.77, N = 3SE +/- 491.89, N = 3SE +/- 1875.50, N = 3572149572065572679571632
OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3003 / Avg: 3059.42 / Max: 3403Min: 801 / Avg: 2902.28 / Max: 3050Min: 3005 / Avg: 3068.12 / Max: 3403Min: 2402 / Avg: 3037.72 / Max: 3404
OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 151.72 / Avg: 516.4 / Max: 639.8Min: 14