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 performance9892.421106.6917572691882.367068980.2779064346634.58509350.2663.94290.41110235.49569.04982120.256393329217223262548199.39840.1359105.032563.282.7129.272196480107.7341126.8104.33910.723234114.283233832711.646.7102.19741421742.3024.881831.3372.1737.46937697.3857206568215314.9275.61223.597197443817703112210.4239.815296.013.26302990000023.038620.978.99929.728.83317.072.857.71090.9110.3830.5460.270931.3887.2092191166.4118.87307393333332701333334.29291313.602999.724538.695.20518.9832.8727.7866.5251174911.0211.19165664.827206.54106.6219210.92168.38111.1190989.7339485.72125114946.466051.90258.65116754.169885.5561178.5218038401888.281166260.27192419013527.238996430477349.9939.69290.14333135.82546.35883920.0811236713299965395393190.68540.6471104.762561.886.7127.321194483105.1033656.3104.1853.774664931.588630492677.949.190.85042389924.8421.4861020.7771.2730.3451036219.0957214966370714.7948.15761.0610605645817713142810.4539.4231011.938.21306613333346.318920.109.05228.407.24848.622.937.81610010.3156.8870.271681.4089.0895197815.3118.87308510000032930000006.13191817.763014.774539.994.34118.4972.9327.7874.0551187300.4711.05545094.746453.67107.6307460.44305.77114.81100543.7240261.26142.86123544.097610.18576.99120084.279889.9071156.491748017188071867560.2858853797077.76504349.4364.00290.41669735.79263.28683340.0811228570235992492540191.17340.0659105.102594.781.5127.688194483107.3935239.0104.1843.814657262.740365772693.446.191.85741743743.0122.190884.7572.2431.98737975.8657163267225415.0753.00121.727799762817544618210.3839.199311.711.30300312500020.538634.309.04229.258.48615.902.787.71290.9110.3135.4800.272271.3887.9927191705.0218.87308253333332914666676.45491642.332926.264510.295.13418.7542.8827.7867.7540177878.6811.20541794.710260.25102.7043262.78193.80111.1191970.9939430.66125115501.416157.58345.48117869.499875.2641175.6918096671882.282169550.28887646213249.678695875503349.02810.01289.97558635.84947.10583800.0811231983300163185416191.80140.8311104.272609.783.1127.332197476104.5133581.3104.0883.791661861.594628262713.148.391.08142338914.7021.4101021.6271.2230.0141040919.2057267967742114.4948.65161.2710670464117862947410.4239.7461018.638.26307260000046.348938.099.10228.287.27648.912.937.72710010.3156.7500.270511.4089.4905197821.8818.87309670000032934000004.00591830.562978.524574.834.34018.5172.9327.7874.2420186973.0611.05617484.729457.02106.1736464.71309.13112.96100763.1140226.02142.86123176.727705.44574.88120124.05OpenBenchmarking.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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2K4K6K8K10K9892.429885.569889.919875.261. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 938 / Avg: 3009.34 / Max: 3537Min: 2953 / Avg: 3010.99 / Max: 3403Min: 2904 / Avg: 3009.83 / Max: 3400Min: 2950 / Avg: 3010.05 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterWRF 4.2.2CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 143.32 / Avg: 534.46 / Max: 576.03Min: 170.31 / Avg: 533.23 / Max: 579.12Min: 153.97 / Avg: 535.42 / Max: 576.31Min: 152.56 / Avg: 535.01 / Max: 577.46
OpenBenchmarking.orgCelsius, Fewer Is BetterWRF 4.2.2CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 52 / Avg: 68.72 / Max: 74Min: 55 / Avg: 67.24 / Max: 74Min: 55 / Avg: 70.13 / Max: 74Min: 55 / Avg: 69.28 / 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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance30060090012001500SE +/- 19.34, N = 9SE +/- 1.74, N = 3SE +/- 22.92, N = 9SE +/- 17.96, N = 91106.691178.521156.491175.691. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 3232.42 / Max: 3439Min: 3103 / Avg: 3296.48 / Max: 3518Min: 1730 / Avg: 3291.57 / Max: 3413Min: 3104 / Avg: 3274.2 / Max: 3471
OpenBenchmarking.orgWatts, Fewer Is BetterQuantum ESPRESSO 6.7CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 79.28 / Avg: 433.06 / Max: 589.04Min: 160.57 / Avg: 445.81 / Max: 620.76Min: 103.54 / Avg: 441.63 / Max: 586.01Min: 175.37 / Avg: 445.55 / Max: 632.581. P-State powersave: Approximate power consumption of 113750 Joules per run.2. P-State performance: Approximate power consumption of 123045 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 121202 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 121338 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterQuantum ESPRESSO 6.7CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 43 / Avg: 64.58 / Max: 79Min: 48 / Avg: 64.61 / Max: 75Min: 46 / Avg: 65.52 / Max: 77Min: 47 / Avg: 66.29 / Max: 78

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance400K800K1200K1600K2000KSE +/- 19689.28, N = 3SE +/- 8888.13, N = 3SE +/- 4960.83, N = 3SE +/- 4355.52, N = 31757269180384017480171809667MIN: 18102 / MAX: 5872318MIN: 24013 / MAX: 5810552MIN: 13879 / MAX: 5825120MIN: 24362 / MAX: 5849692
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance160032004800640080007267.586287.407409.476326.14
OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 3261.95 / Max: 3422Min: 3403 / Avg: 3403.86 / Max: 3424Min: 1433 / Avg: 3207.79 / Max: 3416Min: 3403 / Avg: 3403.82 / Max: 3432
OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance60120180240300Min: 56.53 / Avg: 241.8 / Max: 276.77Min: 166.02 / Avg: 286.9 / Max: 341.56Min: 61.03 / Avg: 235.92 / Max: 281.7Min: 150.05 / Avg: 286.06 / Max: 358.391. P-State powersave: Approximate power consumption of 51825 Joules per run.2. P-State performance: Approximate power consumption of 56614 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 52924 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 56259 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1224364860Min: 39 / Avg: 50 / Max: 56Min: 46 / Avg: 53.86 / Max: 60Min: 40 / Avg: 52.15 / Max: 62Min: 48 / Avg: 55.69 / 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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance4008001200160020001882.31888.21880.01882.21. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 3006.67 / Max: 3409Min: 3003 / Avg: 3016.7 / Max: 3409Min: 2300 / Avg: 3014.92 / Max: 3409Min: 3003 / Avg: 3017.71 / Max: 3409
OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 82.91 / Avg: 514.53 / Max: 622.82Min: 213.62 / Avg: 516.56 / Max: 576.3Min: 130.43 / Avg: 515.2 / Max: 592.97Min: 213.85 / Avg: 516.63 / Max: 594.53
OpenBenchmarking.orgCelsius, Fewer Is BetterNWChem 7.0.2CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 52 / Avg: 72.4 / Max: 78Min: 55 / Avg: 70.49 / Max: 79Min: 53 / Avg: 70.52 / Max: 76Min: 58 / Avg: 70.72 / 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: vklBenchmarkP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2004006008001000SE +/- 2.19, N = 3SE +/- 2.67, N = 3SE +/- 8.72, N = 3SE +/- 2.40, N = 3670811718821MIN: 1 / MAX: 2830MIN: 1 / MAX: 3166MIN: 1 / MAX: 3134MIN: 1 / MAX: 3226
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.82241.64482.46723.28964.1123.5362.8963.6552.914
OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2763.9 / Max: 3436Min: 3002 / Avg: 3378.81 / Max: 3428Min: 801 / Avg: 2708.07 / Max: 3426Min: 3002 / Avg: 3388 / Max: 3424
OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 66.83 / Avg: 189.47 / Max: 352.92Min: 176.73 / Avg: 280.09 / Max: 541.64Min: 72.16 / Avg: 196.44 / Max: 369.15Min: 177.07 / Avg: 281.76 / Max: 555.661. P-State powersave: Approximate power consumption of 30316 Joules per run.2. P-State performance: Approximate power consumption of 30530 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 30579 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 29679 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 38 / Avg: 43.52 / Max: 56Min: 48 / Avg: 54.24 / Max: 65Min: 42 / Avg: 47.87 / Max: 61Min: 51 / Avg: 56.57 / Max: 69

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance15003000450060007500SE +/- 205.17, N = 12SE +/- 200.91, N = 12SE +/- 210.11, N = 12SE +/- 156.45, N = 1268986626675669551. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance4812162014.9914.4314.6215.03
OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2986.56 / Max: 3006Min: 3000 / Avg: 3021.87 / Max: 3406Min: 3000 / Avg: 3012.86 / Max: 3405Min: 3000 / Avg: 3023.24 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 116.19 / Avg: 460.29 / Max: 567.14Min: 187.38 / Avg: 459.1 / Max: 563.8Min: 196.63 / Avg: 462.28 / Max: 560.86Min: 175.74 / Avg: 462.81 / Max: 568.11. P-State powersave: Approximate power consumption of 12351 Joules per run.2. P-State performance: Approximate power consumption of 12663 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 12713 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 12727 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 53 / Avg: 67.25 / Max: 72Min: 52 / Avg: 70.54 / Max: 75Min: 52 / Avg: 70.57 / Max: 75Min: 50 / Avg: 66.11 / Max: 74

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.06480.12960.19440.25920.324SE +/- 0.002, N = 15SE +/- 0.003, N = 3SE +/- 0.005, N = 15SE +/- 0.006, N = 150.2770.2710.2850.2881. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 3022.44 / Max: 3437Min: 3000 / Avg: 3365.53 / Max: 3407Min: 958 / Avg: 3317.09 / Max: 3442Min: 2190 / Avg: 3355.5 / Max: 3436
OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 55 / Avg: 231.4 / Max: 606.41Min: 161.84 / Avg: 257.1 / Max: 600.03Min: 65.29 / Avg: 245.6 / Max: 612.07Min: 148.8 / Avg: 257.7 / Max: 600.31. P-State powersave: Approximate power consumption of 5970 Joules per run.2. P-State performance: Approximate power consumption of 6428 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 6189 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 6374 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 39 / Avg: 50.83 / Max: 66Min: 45 / Avg: 48.52 / Max: 62Min: 41 / Avg: 51.26 / Max: 65Min: 49 / Avg: 55.19 / Max: 67

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read OnlyP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance200K400K600K800K1000KSE +/- 7359.52, N = 15SE +/- 9754.80, N = 3SE +/- 15445.86, N = 15SE +/- 16646.22, N = 159064349241908853798764621. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3K6K9K12K15KSE +/- 86.30, N = 3SE +/- 114.27, N = 15SE +/- 115.67, N = 12SE +/- 100.42, N = 156634.5813527.247077.7613249.681. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance122436486042.6251.3645.6750.29
OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 2620.09 / Max: 3390Min: 3400 / Avg: 3403.32 / Max: 3410Min: 871 / Avg: 2612.11 / Max: 3399Min: 3401 / Avg: 3403.26 / Max: 3407
OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance50100150200250Min: 79.98 / Avg: 155.67 / Max: 242.91Min: 159.97 / Avg: 263.4 / Max: 291.52Min: 60.89 / Avg: 154.96 / Max: 248.13Min: 154.09 / Avg: 263.44 / Max: 299.251. P-State powersave: Approximate power consumption of 4670 Joules per run.2. P-State performance: Approximate power consumption of 5549 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 4559 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 5585 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1224364860Min: 35 / Avg: 37.49 / Max: 42Min: 46 / Avg: 51.95 / Max: 54Min: 37 / Avg: 41.68 / Max: 47Min: 48 / Avg: 54.09 / Max: 63

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550SE +/- 10.98, N = 9SE +/- 2.17, N = 3SE +/- 8.53, N = 12SE +/- 6.15, N = 125094775045031. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.25670.51340.77011.02681.28351.1411.0641.1171.113
OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2966.78 / Max: 3401Min: 3000 / Avg: 3024.65 / Max: 3407Min: 2202 / Avg: 3018.2 / Max: 3403Min: 3000 / Avg: 3028.08 / Max: 3404
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 134.9 / Avg: 446.21 / Max: 551.94Min: 154.61 / Avg: 448.18 / Max: 538.49Min: 171.12 / Avg: 451.38 / Max: 550.48Min: 182.92 / Avg: 451.81 / Max: 550.151. P-State powersave: Approximate power consumption of 11899 Joules per run.2. P-State performance: Approximate power consumption of 12400 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 12300 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 12312 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 50 / Avg: 64.79 / Max: 70Min: 54 / Avg: 65.08 / Max: 67Min: 53 / Avg: 66.62 / Max: 70Min: 53 / Avg: 68.18 / Max: 71

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance80160240320400SE +/- 1.16, N = 3SE +/- 1.34, N = 3SE +/- 1.38, N = 3SE +/- 1.39, N = 3350.27349.99349.44349.031. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2964.92 / Max: 3200Min: 2941 / Avg: 3006.83 / Max: 3403Min: 1501 / Avg: 2988.71 / Max: 3403Min: 2908 / Avg: 3002.5 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterRELION 3.1.1CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 66.85 / Avg: 530.91 / Max: 618.21Min: 169.67 / Avg: 535.45 / Max: 615.01Min: 65.22 / Avg: 533.95 / Max: 616.15Min: 150.2 / Avg: 534.93 / Max: 618.171. P-State powersave: Approximate power consumption of 43004 Joules per run.2. P-State performance: Approximate power consumption of 43372 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 43072 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 43508 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterRELION 3.1.1CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 32 / Avg: 67.93 / Max: 77Min: 49 / Avg: 67.97 / Max: 76Min: 37 / Avg: 67.3 / Max: 76Min: 50 / Avg: 67.63 / 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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3691215SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 12SE +/- 0.09, N = 33.949.694.0010.011. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.00740.01480.02220.02960.0370.0310.0320.0250.033
OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2263.2 / Max: 3318Min: 3400 / Avg: 3404.38 / Max: 3434Min: 908 / Avg: 2962.81 / Max: 3409Min: 3403 / Avg: 3403.73 / Max: 3409
OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance60120180240300Min: 54.55 / Avg: 125.47 / Max: 223.38Min: 203.67 / Avg: 301.44 / Max: 346.48Min: 64.3 / Avg: 160.5 / Max: 249.64Min: 188.59 / Avg: 303.12 / Max: 339.221. P-State powersave: Approximate power consumption of 6106 Joules per run.2. P-State performance: Approximate power consumption of 6531 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 7958 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 6467 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1224364860Min: 31 / Avg: 35.47 / Max: 41Min: 45 / Avg: 51.62 / Max: 62Min: 34 / Avg: 42.78 / Max: 58Min: 45 / Avg: 47.23 / Max: 53

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance60120180240300SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3290.41290.14290.42289.981. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2969.41 / Max: 3313Min: 3002 / Avg: 3019.16 / Max: 3403Min: 2213 / Avg: 3013.97 / Max: 3403Min: 3002 / Avg: 3018.64 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 138.66 / Avg: 529.97 / Max: 567.24Min: 185.04 / Avg: 533.55 / Max: 582.49Min: 95.31 / Avg: 533.15 / Max: 570.27Min: 180.81 / Avg: 533.48 / Max: 577.731. P-State powersave: Approximate power consumption of 37451 Joules per run.2. P-State performance: Approximate power consumption of 37349 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 37498 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 37343 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 49 / Avg: 65.82 / Max: 74Min: 50 / Avg: 68.19 / Max: 73Min: 48 / Avg: 67.15 / Max: 74Min: 50 / Avg: 68.2 / Max: 73

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance816243240SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 335.5035.8335.7935.851. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.01510.03020.04530.06040.07550.0670.0670.0670.067
OpenBenchmarking.orgMegahertz, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 2980.72 / Max: 3204Min: 3000 / Avg: 3017.98 / Max: 3403Min: 3002 / Avg: 3014.64 / Max: 3403Min: 3000 / Avg: 3018.17 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 124.11 / Avg: 531.53 / Max: 568.45Min: 191.19 / Avg: 535.54 / Max: 569.62Min: 149.36 / Avg: 532.54 / Max: 567.47Min: 188.96 / Avg: 534.89 / Max: 577.691. P-State powersave: Approximate power consumption of 31360 Joules per run.2. P-State performance: Approximate power consumption of 31419 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 31065 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 31023 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 48 / Avg: 71.22 / Max: 75Min: 49 / Avg: 70.96 / Max: 76Min: 51 / Avg: 69.84 / Max: 72Min: 50 / Avg: 72.05 / Max: 74

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075SE +/- 0.69, N = 6SE +/- 0.64, N = 12SE +/- 1.35, N = 15SE +/- 0.69, N = 1569.0546.3663.2947.111. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2358.38 / Max: 3401Min: 3233 / Avg: 3403.14 / Max: 3414Min: 1444 / Avg: 2684.73 / Max: 3413Min: 3400 / Avg: 3404.31 / Max: 3417
OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance80160240320400Min: 71.33 / Avg: 180.52 / Max: 301.33Min: 190.97 / Avg: 348.5 / Max: 420.44Min: 59.89 / Avg: 223.22 / Max: 369.45Min: 157.21 / Avg: 348.25 / Max: 425.71. P-State powersave: Approximate power consumption of 3129 Joules per run.2. P-State performance: Approximate power consumption of 4066 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 3542 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 4179 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 43 / Avg: 50.54 / Max: 59Min: 57 / Avg: 71.56 / Max: 78Min: 46 / Avg: 55.88 / Max: 66Min: 58 / Avg: 70.74 / Max: 77

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2K4K6K8K10KSE +/- 58.56, N = 12SE +/- 25.12, N = 3SE +/- 65.66, N = 3SE +/- 24.06, N = 382128392833483801. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance51015202519.4319.9219.6719.87
OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2973.98 / Max: 3005Min: 2943 / Avg: 3003.63 / Max: 3403Min: 2943 / Avg: 3007.76 / Max: 3403Min: 2944 / Avg: 3012.45 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance90180270360450Min: 138.02 / Avg: 422.58 / Max: 516Min: 190.15 / Avg: 421.22 / Max: 500.37Min: 185.49 / Avg: 423.65 / Max: 515.15Min: 155.28 / Avg: 421.79 / Max: 507.171. P-State powersave: Approximate power consumption of 11269 Joules per run.2. P-State performance: Approximate power consumption of 11654 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 11297 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 11529 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 52 / Avg: 64.51 / Max: 67Min: 55 / Avg: 62.96 / Max: 64Min: 54 / Avg: 63.75 / Max: 65Min: 52 / Avg: 60.32 / Max: 62

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.05760.11520.17280.23040.288SE +/- 0.005, N = 15SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.2560.0810.0810.0811. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2821.03 / Max: 3436Min: 3000 / Avg: 3354.76 / Max: 3413Min: 1652 / Avg: 3301.91 / Max: 3405Min: 3000 / Avg: 3361.95 / Max: 3441
OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 55.17 / Avg: 180.92 / Max: 370.22Min: 150.38 / Avg: 256.11 / Max: 607.4Min: 68.62 / Avg: 244.41 / Max: 617.1Min: 148.4 / Avg: 260.23 / Max: 604.151. P-State powersave: Approximate power consumption of 4704 Joules per run.2. P-State performance: Approximate power consumption of 6232 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 6110 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 6506 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 39 / Avg: 45.32 / Max: 55Min: 45 / Avg: 48.57 / Max: 63Min: 37 / Avg: 47.11 / Max: 62Min: 50 / Avg: 54 / Max: 67

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read OnlyP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance300K600K900K1200K1500KSE +/- 8388.30, N = 15SE +/- 5304.66, N = 3SE +/- 11834.71, N = 3SE +/- 3615.78, N = 33933291236713122857012319831. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6M12M18M24M30MSE +/- 47580.68, N = 3SE +/- 268896.33, N = 15SE +/- 38895.86, N = 3SE +/- 349026.46, N = 1521722326299965392359924930016318MIN: 1031810 / MAX: 151043112MIN: 979600 / MAX: 247803840MIN: 1060641 / MAX: 156949416MIN: 979586 / MAX: 253907928
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance30K60K90K120K150K123147.50125723.06118699.08126322.91
OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2992.78 / Max: 3400Min: 3402 / Avg: 3403.89 / Max: 3411Min: 1702 / Avg: 3240.62 / Max: 3405Min: 3400 / Avg: 3403.53 / Max: 3410
OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance60120180240300Min: 70.67 / Avg: 176.39 / Max: 222.85Min: 147.72 / Avg: 238.59 / Max: 361.16Min: 71.3 / Avg: 198.82 / Max: 249.74Min: 160.47 / Avg: 237.62 / Max: 341.581. P-State powersave: Approximate power consumption of 2999 Joules per run.2. P-State performance: Approximate power consumption of 4024 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 3446 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 3992 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1224364860Min: 43 / Avg: 47.59 / Max: 55Min: 46 / Avg: 50.53 / Max: 62Min: 42 / Avg: 48.06 / Max: 56Min: 45 / Avg: 46.93 / Max: 58

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance12002400360048006000SE +/- 29.86, N = 15SE +/- 7.17, N = 3SE +/- 50.72, N = 15SE +/- 15.21, N = 325485393254054161. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance61218243024.5823.2723.6223.05
OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 963.23 / Max: 3400Min: 3400 / Avg: 3404.16 / Max: 3409Min: 801 / Avg: 1738.34 / Max: 3403Min: 3403 / Avg: 3404.52 / Max: 3414
OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance50100150200250Min: 59.12 / Avg: 103.68 / Max: 116.59Min: 166.83 / Avg: 231.78 / Max: 281.1Min: 60.85 / Avg: 107.56 / Max: 231.74Min: 184.16 / Avg: 235.01 / Max: 256.391. P-State powersave: Approximate power consumption of 1707 Joules per run.2. P-State performance: Approximate power consumption of 3863 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1800 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 3917 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1122334455Min: 32 / Avg: 33.74 / Max: 39Min: 44 / Avg: 46.36 / Max: 49Min: 32 / Avg: 36.64 / Max: 55Min: 51 / Avg: 53.48 / Max: 57

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance4080120160200SE +/- 1.18, N = 3SE +/- 1.07, N = 3SE +/- 1.14, N = 3SE +/- 0.59, N = 3199.40190.69191.17191.80
OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 12.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 3095.38 / Max: 3407Min: 2843 / Avg: 3319.04 / Max: 3409Min: 2302 / Avg: 3299.39 / Max: 3410Min: 2196 / Avg: 3310.89 / Max: 3413
OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 12.0CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 76.02 / Avg: 346.41 / Max: 598.3Min: 184.11 / Avg: 391.71 / Max: 609.63Min: 88.72 / Avg: 370.44 / Max: 606.19Min: 185.15 / Avg: 392.69 / Max: 628.921. P-State powersave: Approximate power consumption of 18937 Joules per run.2. P-State performance: Approximate power consumption of 18410 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 18646 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 18456 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 12.0CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 40 / Avg: 60.34 / Max: 76Min: 49 / Avg: 64.64 / Max: 76Min: 42 / Avg: 62.91 / Max: 75Min: 50 / Avg: 64.4 / Max: 76

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance918273645SE +/- 0.17, N = 3SE +/- 0.20, N = 3SE +/- 0.12, N = 3SE +/- 0.21, N = 340.1440.6540.0740.831. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.01730.03460.05190.06920.08650.0760.0760.0760.077
OpenBenchmarking.orgMegahertz, More Is BetterHigh Performance Conjugate Gradient 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 2987.86 / Max: 3390Min: 3002 / Avg: 3024.53 / Max: 3403Min: 2200 / Avg: 3003.35 / Max: 3403Min: 3002 / Avg: 3022.98 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 101.04 / Avg: 525.43 / Max: 566.64Min: 192.75 / Avg: 531.43 / Max: 567.44Min: 148.45 / Avg: 526.85 / Max: 566.97Min: 185.02 / Avg: 529.93 / Max: 567.521. P-State powersave: Approximate power consumption of 24345 Joules per run.2. P-State performance: Approximate power consumption of 23737 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 24587 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 24023 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 37 / Avg: 66.58 / Max: 75Min: 46 / Avg: 66.37 / Max: 74Min: 43 / Avg: 66.96 / Max: 76Min: 45 / Avg: 66.48 / Max: 75

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.38, N = 3SE +/- 0.16, N = 3105.03104.76105.10104.271. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 3052.57 / Max: 3405Min: 3002 / Avg: 3170.68 / Max: 3413Min: 2209 / Avg: 3157.13 / Max: 3405Min: 3002 / Avg: 3170.4 / Max: 3409
OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 81.08 / Avg: 392.53 / Max: 569.64Min: 153.86 / Avg: 418.2 / Max: 568.28Min: 125.27 / Avg: 401.31 / Max: 568.2Min: 172.89 / Avg: 415.84 / Max: 568.331. P-State powersave: Approximate power consumption of 16748 Joules per run.2. P-State performance: Approximate power consumption of 17286 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 16587 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 16634 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 8CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 44 / Avg: 60.83 / Max: 75Min: 46 / Avg: 62.41 / Max: 74Min: 45 / Avg: 62.49 / Max: 75Min: 46 / Avg: 62.85 / Max: 76

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000SE +/- 16.96, N = 3SE +/- 5.29, N = 15SE +/- 4.60, N = 15SE +/- 4.37, N = 32563.22561.82594.72609.71. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression SpeedP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance369121510.9809.74010.93110.026
OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.5.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 3296.61 / Max: 3408Min: 3400 / Avg: 3404.16 / Max: 3411Min: 1007 / Avg: 3311.35 / Max: 3413Min: 3403 / Avg: 3403.91 / Max: 3407
OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance70140210280350Min: 67.74 / Avg: 233.45 / Max: 355.39Min: 150.31 / Avg: 263.01 / Max: 417.73Min: 67.81 / Avg: 237.38 / Max: 377.12Min: 149.85 / Avg: 260.28 / Max: 397.191. P-State powersave: Approximate power consumption of 2801 Joules per run.2. P-State performance: Approximate power consumption of 3051 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2943 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 3037 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.5.0CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 33 / Avg: 42.47 / Max: 55Min: 46 / Avg: 48.08 / Max: 59Min: 37 / Avg: 53.05 / Max: 65Min: 46 / Avg: 47.26 / Max: 53

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Compression SpeedP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.55, N = 3SE +/- 0.75, N = 15SE +/- 0.75, N = 15SE +/- 0.32, N = 382.786.781.583.11. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance306090120150SE +/- 0.40, N = 3SE +/- 0.50, N = 3SE +/- 0.14, N = 3SE +/- 0.45, N = 3129.27127.32127.69127.33
OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 12.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2869.77 / Max: 3404Min: 2776 / Avg: 3108.25 / Max: 3408Min: 1802 / Avg: 3071.29 / Max: 3407Min: 2775 / Avg: 3097.07 / Max: 3409
OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 12.0CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 71.4 / Avg: 379.54 / Max: 618.58Min: 178.59 / Avg: 430.61 / Max: 612.15Min: 79.87 / Avg: 401.89 / Max: 622.42Min: 156.76 / Avg: 431.5 / Max: 617.021. P-State powersave: Approximate power consumption of 13916 Joules per run.2. P-State performance: Approximate power consumption of 13636 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 13664 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 13808 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 12.0CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 42 / Avg: 62.03 / Max: 77Min: 50 / Avg: 65.97 / Max: 80Min: 44 / Avg: 63.55 / Max: 76Min: 51 / Avg: 66.92 / Max: 78

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance4080120160200SE +/- 2.36, N = 3SE +/- 0.44, N = 3SE +/- 1.89, N = 3SE +/- 0.29, N = 31961941941971. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.10040.20080.30120.40160.5020.4460.4350.4340.440
OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2879.74 / Max: 3400Min: 2866 / Avg: 2951.22 / Max: 3404Min: 2177 / Avg: 2919.11 / Max: 3404Min: 2855 / Avg: 2939.69 / Max: 3404
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 99.38 / Avg: 439.73 / Max: 539.22Min: 156.48 / Avg: 445.99 / Max: 541.22Min: 111.09 / Avg: 447.16 / Max: 540.93Min: 204.08 / Avg: 447.86 / Max: 541.081. P-State powersave: Approximate power consumption of 11580 Joules per run.2. P-State performance: Approximate power consumption of 12042 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 11924 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 11943 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 51 / Avg: 66.74 / Max: 74Min: 54 / Avg: 68.07 / Max: 74Min: 52 / Avg: 66.36 / Max: 71Min: 49 / Avg: 63.51 / Max: 68

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500SE +/- 2.02, N = 3SE +/- 5.43, N = 3SE +/- 5.29, N = 3SE +/- 0.73, N = 34804834834761. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.24120.48240.72360.96481.2061.0721.0631.0681.054
OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 2904.31 / Max: 3007Min: 2930 / Avg: 2991.57 / Max: 3404Min: 2922 / Avg: 2975.15 / Max: 3405Min: 2927 / Avg: 2995.51 / Max: 3406
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 154.46 / Avg: 447.71 / Max: 550.42Min: 179.49 / Avg: 454.46 / Max: 548.39Min: 124.64 / Avg: 452.09 / Max: 549.94Min: 207.94 / Avg: 451.61 / Max: 544.871. P-State powersave: Approximate power consumption of 11939 Joules per run.2. P-State performance: Approximate power consumption of 12271 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 11905 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 12193 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 54 / Avg: 68.09 / Max: 72Min: 57 / Avg: 68.64 / Max: 73Min: 55 / Avg: 68.99 / Max: 72Min: 51 / Avg: 61.63 / Max: 63

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.44, N = 3SE +/- 0.34, N = 3SE +/- 0.55, N = 3SE +/- 0.20, N = 3107.73105.10107.39104.51
OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 2935.94 / Max: 3405Min: 2904 / Avg: 3010.14 / Max: 3405Min: 2301 / Avg: 2976.16 / Max: 3406Min: 2892 / Avg: 3013.58 / Max: 3408
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 93.04 / Avg: 489.97 / Max: 623.45Min: 188.24 / Avg: 512.25 / Max: 623.46Min: 140.22 / Avg: 491.71 / Max: 619.19Min: 170.8 / Avg: 510.82 / Max: 630.781. P-State powersave: Approximate power consumption of 12902 Joules per run.2. P-State performance: Approximate power consumption of 12977 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 12784 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 12430 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 49 / Avg: 69.77 / Max: 75Min: 54 / Avg: 71.87 / Max: 76Min: 52 / Avg: 70.15 / Max: 76Min: 55 / Avg: 71.01 / Max: 75

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance9K18K27K36K45KSE +/- 711.79, N = 12SE +/- 117.93, N = 3SE +/- 352.77, N = 3SE +/- 61.65, N = 341126.833656.335239.033581.3
OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2955.99 / Max: 3103Min: 3000 / Avg: 3031.35 / Max: 3403Min: 3000 / Avg: 3032.66 / Max: 3403Min: 3000 / Avg: 3050.43 / Max: 3404
OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 130.97 / Avg: 517.4 / Max: 615.04Min: 202.31 / Avg: 520.51 / Max: 620.26Min: 190.61 / Avg: 514.32 / Max: 606.86Min: 149.43 / Avg: 516.05 / Max: 608.651. P-State powersave: Approximate power consumption of 7545 Joules per run.2. P-State performance: Approximate power consumption of 7287 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 7543 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 7569 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 50 / Avg: 68.31 / Max: 72Min: 55 / Avg: 69.09 / Max: 73Min: 51 / Avg: 67.41 / Max: 71Min: 50 / Avg: 68.75 / Max: 73

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.44, N = 3SE +/- 0.01, N = 3SE +/- 0.27, N = 3SE +/- 0.52, N = 3104.34104.19104.18104.091. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 3276.59 / Max: 3406Min: 3000 / Avg: 3333.93 / Max: 3408Min: 2303 / Avg: 3305.22 / Max: 3406Min: 3000 / Avg: 3323.69 / Max: 3410
OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 82.65 / Avg: 251.17 / Max: 526.13Min: 149.58 / Avg: 264.02 / Max: 525.19Min: 102.43 / Avg: 256.61 / Max: 517.46Min: 179.63 / Avg: 264.8 / Max: 537.031. P-State powersave: Approximate power consumption of 6363 Joules per run.2. P-State performance: Approximate power consumption of 6600 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 6501 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 6532 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 47 / Avg: 54.62 / Max: 65Min: 47 / Avg: 52.41 / Max: 62Min: 47 / Avg: 56.03 / Max: 67Min: 45 / Avg: 51.07 / Max: 62

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3691215SE +/- 0.071, N = 3SE +/- 0.023, N = 3SE +/- 0.017, N = 3SE +/- 0.023, N = 310.7233.7743.8143.7911. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2791.53 / Max: 3405Min: 3000 / Avg: 3360.3 / Max: 3410Min: 1827 / Avg: 3302.13 / Max: 3407Min: 2185 / Avg: 3349.62 / Max: 3409
OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance90180270360450Min: 56 / Avg: 170.88 / Max: 220.2Min: 152.81 / Avg: 240.52 / Max: 481.64Min: 60.78 / Avg: 227.04 / Max: 477.64Min: 151.86 / Avg: 243.7 / Max: 478.371. P-State powersave: Approximate power consumption of 4500 Joules per run.2. P-State performance: Approximate power consumption of 5933 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 5752 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 6011 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1224364860Min: 39 / Avg: 43.18 / Max: 47Min: 45 / Avg: 47.28 / Max: 56Min: 42 / Avg: 47.32 / Max: 57Min: 50 / Avg: 52.78 / Max: 62

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read WriteP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance14K28K42K56K70KSE +/- 156.62, N = 3SE +/- 391.43, N = 3SE +/- 301.39, N = 3SE +/- 405.25, N = 3234116649365726661861. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.96371.92742.89113.85484.8185SE +/- 0.009, N = 3SE +/- 0.007, N = 3SE +/- 0.035, N = 3SE +/- 0.004, N = 34.2831.5882.7401.5941. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2758.61 / Max: 3405Min: 3000 / Avg: 3361.3 / Max: 3413Min: 1412 / Avg: 3064.14 / Max: 3405Min: 3000 / Avg: 3366.69 / Max: 3431
OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance80160240320400Min: 69.78 / Avg: 175.7 / Max: 221.6Min: 153.98 / Avg: 236.43 / Max: 436.73Min: 55.94 / Avg: 187.1 / Max: 309.86Min: 150.2 / Avg: 238.19 / Max: 441.781. P-State powersave: Approximate power consumption of 4510 Joules per run.2. P-State performance: Approximate power consumption of 5753 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 4740 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 5875 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1122334455Min: 41 / Avg: 46.64 / Max: 52Min: 44 / Avg: 48.99 / Max: 57Min: 39 / Avg: 44.66 / Max: 50Min: 48 / Avg: 51.33 / Max: 58

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read WriteP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance14K28K42K56K70KSE +/- 51.95, N = 3SE +/- 272.63, N = 3SE +/- 464.84, N = 3SE +/- 148.39, N = 3233836304936577628261. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000SE +/- 4.94, N = 15SE +/- 9.19, N = 3SE +/- 8.19, N = 6SE +/- 2.06, N = 32711.62677.92693.42713.11. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance369121512.4811.1012.2011.31
OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.5.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 3287.63 / Max: 3409Min: 3403 / Avg: 3404.42 / Max: 3409Min: 1416 / Avg: 3332.19 / Max: 3409Min: 3403 / Avg: 3404.45 / Max: 3410
OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance60120180240300Min: 69.33 / Avg: 217.28 / Max: 300.84Min: 150.32 / Avg: 241.36 / Max: 314.09Min: 55.97 / Avg: 220.85 / Max: 303.62Min: 179.45 / Avg: 239.91 / Max: 319.381. P-State powersave: Approximate power consumption of 2477 Joules per run.2. P-State performance: Approximate power consumption of 2655 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2503 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2639 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.5.0CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1122334455Min: 39 / Avg: 47.4 / Max: 51Min: 46 / Avg: 47.3 / Max: 50Min: 44 / Avg: 49.91 / Max: 53Min: 46 / Avg: 48.03 / Max: 56

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Compression SpeedP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1122334455SE +/- 0.32, N = 15SE +/- 0.21, N = 3SE +/- 0.46, N = 6SE +/- 0.20, N = 346.749.146.148.31. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.59, N = 3SE +/- 0.15, N = 3SE +/- 0.27, N = 3SE +/- 0.49, N = 3102.2090.8591.8691.08
OpenBenchmarking.orgMegahertz, More Is BetterTimed Node.js Compilation 15.11CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2947.28 / Max: 3408Min: 2806 / Avg: 3149.98 / Max: 3408Min: 2200 / Avg: 3131.31 / Max: 3408Min: 2780 / Avg: 3147.34 / Max: 3406
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 15.11CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 74.67 / Avg: 366.89 / Max: 608.43Min: 153.02 / Avg: 426.76 / Max: 615.07Min: 130.5 / Avg: 414.5 / Max: 631.57Min: 191.46 / Avg: 428.2 / Max: 624.531. P-State powersave: Approximate power consumption of 9294 Joules per run.2. P-State performance: Approximate power consumption of 9247 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 9119 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 9135 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Node.js Compilation 15.11CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 44 / Avg: 61 / Max: 75Min: 52 / Avg: 66.24 / Max: 76Min: 49 / Avg: 64.73 / Max: 75Min: 54 / Avg: 65.49 / 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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance9K18K27K36K45KSE +/- 341.07, N = 9SE +/- 274.68, N = 3SE +/- 380.67, N = 7SE +/- 83.53, N = 3414214238941743423381. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance4080120160200174.15163.09166.04160.57
OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 3164.92 / Max: 3408Min: 3403 / Avg: 3406.87 / Max: 3413Min: 908 / Avg: 3357.09 / Max: 3409Min: 3403 / Avg: 3407.66 / Max: 3435
OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance50100150200250Min: 68.19 / Avg: 237.85 / Max: 275.35Min: 180.96 / Avg: 259.92 / Max: 289.29Min: 67.48 / Avg: 251.41 / Max: 286.69Min: 183.32 / Avg: 263.67 / Max: 291.91. P-State powersave: Approximate power consumption of 3066 Joules per run.2. P-State performance: Approximate power consumption of 3292 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 3232 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 3340 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 32 / Avg: 41.2 / Max: 44Min: 43 / Avg: 44.53 / Max: 49Min: 34 / Avg: 54.69 / Max: 64Min: 48 / Avg: 52.84 / Max: 61

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2004006008001000SE +/- 18.61, N = 15SE +/- 4.79, N = 3SE +/- 19.99, N = 14SE +/- 4.97, N = 3742.30924.84743.01914.701. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.99991.99982.99973.99964.99954.4443.9484.3223.913
OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2819.74 / Max: 3406Min: 3403 / Avg: 3403.75 / Max: 3407Min: 801 / Avg: 2837.77 / Max: 3406Min: 3403 / Avg: 3403.25 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance50100150200250Min: 54.57 / Avg: 167.05 / Max: 233.35Min: 148.96 / Avg: 234.25 / Max: 277.2Min: 72.95 / Avg: 171.91 / Max: 241.75Min: 148.33 / Avg: 233.74 / Max: 287.411. P-State powersave: Approximate power consumption of 1314 Joules per run.2. P-State performance: Approximate power consumption of 1484 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1363 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1558 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1020304050Min: 35 / Avg: 38.64 / Max: 41Min: 46 / Avg: 48.15 / Max: 49Min: 40 / Avg: 44.28 / Max: 48Min: 47 / Avg: 49.55 / Max: 50

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance612182430SE +/- 0.38, N = 15SE +/- 0.24, N = 5SE +/- 0.19, N = 14SE +/- 0.19, N = 724.8821.4922.1921.41
OpenBenchmarking.orgMegahertz, More Is BetterTimed Linux Kernel Compilation 5.10.20CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2455.32 / Max: 3405Min: 2771 / Avg: 3289.63 / Max: 3409Min: 2301 / Avg: 3260 / Max: 3408Min: 2870 / Avg: 3269.17 / Max: 3408
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 59.39 / Avg: 255.49 / Max: 630.2Min: 166.69 / Avg: 336.83 / Max: 634.7Min: 80.75 / Avg: 318.65 / Max: 634.98Min: 180.46 / Avg: 338.45 / Max: 640.81. P-State powersave: Approximate power consumption of 2214 Joules per run.2. P-State performance: Approximate power consumption of 2358 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2231 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2272 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 40 / Avg: 51.9 / Max: 66Min: 50 / Avg: 57.63 / Max: 68Min: 45 / Avg: 57.89 / Max: 70Min: 51 / Avg: 59.23 / Max: 69

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2004006008001000SE +/- 7.84, N = 15SE +/- 2.39, N = 3SE +/- 9.84, N = 15SE +/- 1.25, N = 3831.331020.77884.751021.621. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1.02352.0473.07054.0945.11754.5493.7784.4913.816
OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2874.67 / Max: 3406Min: 3403 / Avg: 3403.28 / Max: 3406Min: 1391 / Avg: 2971.81 / Max: 3405Min: 3403 / Avg: 3403.06 / Max: 3404
OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance60120180240300Min: 62.15 / Avg: 182.76 / Max: 261.72Min: 211.57 / Avg: 270.16 / Max: 317.87Min: 75.63 / Avg: 197 / Max: 300.83Min: 209.75 / Avg: 267.71 / Max: 311.31. P-State powersave: Approximate power consumption of 1304 Joules per run.2. P-State performance: Approximate power consumption of 1621 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1340 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1517 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1020304050Min: 37 / Avg: 41.36 / Max: 47Min: 47 / Avg: 49.28 / Max: 52Min: 41 / Avg: 46.37 / Max: 50Min: 47 / Avg: 49.89 / Max: 52

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1632486480SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 372.1771.2772.2471.22
OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2800.92 / Max: 3400Min: 2775 / Avg: 2930.39 / Max: 3405Min: 2200 / Avg: 2856.23 / Max: 3403Min: 2774 / Avg: 2917.84 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 98.33 / Avg: 507.82 / Max: 635.97Min: 164.34 / Avg: 516.16 / Max: 627.03Min: 112.74 / Avg: 507.61 / Max: 624.14Min: 194.91 / Avg: 517.85 / Max: 638.041. P-State powersave: Approximate power consumption of 8464 Joules per run.2. P-State performance: Approximate power consumption of 8775 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 8799 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 8631 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 50 / Avg: 71.84 / Max: 76Min: 57 / Avg: 72.96 / Max: 77Min: 52 / Avg: 72.48 / Max: 78Min: 57 / Avg: 73.36 / 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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance918273645SE +/- 0.28, N = 15SE +/- 0.22, N = 3SE +/- 0.41, N = 3SE +/- 0.20, N = 337.4730.3531.9930.011. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 3209.62 / Max: 3409Min: 3403 / Avg: 3405.92 / Max: 3442Min: 1421 / Avg: 3285.46 / Max: 3409Min: 3403 / Avg: 3404.75 / Max: 3410
OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance80160240320400Min: 68.23 / Avg: 268.14 / Max: 414.9Min: 151.47 / Avg: 312.45 / Max: 462.52Min: 68.22 / Avg: 281.49 / Max: 459.66Min: 166.77 / Avg: 314.92 / Max: 476.651. P-State powersave: Approximate power consumption of 2628 Joules per run.2. P-State performance: Approximate power consumption of 2500 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2440 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2519 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 35 / Avg: 54.08 / Max: 71Min: 51 / Avg: 53.75 / Max: 58Min: 35 / Avg: 55.08 / Max: 69Min: 55 / Avg: 61.92 / Max: 73

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2K4K6K8K10KSE +/- 31.56, N = 3SE +/- 0.58, N = 3SE +/- 13.93, N = 3SE +/- 6.00, N = 33769103623797104091. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance102030405038.1245.8738.2345.12
OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 857.78 / Max: 2300Min: 3403 / Avg: 3404.96 / Max: 3428Min: 802 / Avg: 1510.35 / Max: 2300Min: 3400 / Avg: 3406.87 / Max: 3483
OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance50100150200250Min: 62.46 / Avg: 98.88 / Max: 107.66Min: 185.94 / Avg: 225.91 / Max: 244.27Min: 63.54 / Avg: 99.31 / Max: 109.91Min: 166.97 / Avg: 230.68 / Max: 260.281. P-State powersave: Approximate power consumption of 1648 Joules per run.2. P-State performance: Approximate power consumption of 3615 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1622 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 3614 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1122334455Min: 33 / Avg: 34.54 / Max: 36Min: 44 / Avg: 44.29 / Max: 45Min: 35 / Avg: 36.47 / Max: 38Min: 47 / Avg: 51.3 / Max: 53

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance510152025SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 37.3819.095.8619.201. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.01510.03020.04530.06040.07550.0650.0670.0520.067
OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2129.7 / Max: 2305Min: 3400 / Avg: 3403.38 / Max: 3404Min: 1001 / Avg: 1788.15 / Max: 3403Min: 3403 / Avg: 3403.96 / Max: 3422
OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance60120180240300Min: 54.28 / Avg: 114.39 / Max: 126.64Min: 148.81 / Avg: 283.35 / Max: 319.8Min: 60.73 / Avg: 111.74 / Max: 120.31Min: 153.7 / Avg: 285.77 / Max: 321.61. P-State powersave: Approximate power consumption of 2402 Joules per run.2. P-State performance: Approximate power consumption of 2456 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2905 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2477 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1122334455Min: 30 / Avg: 32.83 / Max: 34Min: 43 / Avg: 44.81 / Max: 46Min: 34 / Avg: 36.54 / Max: 38Min: 45 / Avg: 48.73 / Max: 56

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance120K240K360K480K600KSE +/- 1289.77, N = 3SE +/- 2262.00, N = 3SE +/- 1875.50, N = 3SE +/- 491.89, N = 3572065572149571632572679
OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2902.28 / Max: 3050Min: 3003 / Avg: 3059.42 / Max: 3403Min: 2402 / Avg: 3037.72 / Max: 3404Min: 3005 / Avg: 3068.12 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 149.32 / Avg: 511.39 / Max: 634.85Min: 151.72 / Avg: 516.4 / Max: 639.8Min: 132.83 / Avg: 511.78 / Max: 625.61Min: 153.57 / Avg: 516.91 / Max: 636.911. P-State powersave: Approximate power consumption of 7330 Joules per run.2. P-State performance: Approximate power consumption of 7402 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 7336 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 7237 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 50 / Avg: 72.05 / Max: 77Min: 54 / Avg: 71.67 / Max: 76Min: 49 / Avg: 69.53 / Max: 73Min: 52 / Avg: 71.81 / Max: 76

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance150K300K450K600K750KSE +/- 5220.61, N = 3SE +/- 2267.77, N = 3SE +/- 2013.17, N = 3SE +/- 6399.11, N = 3682153663707672254677421
OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 3002.25 / Max: 3210Min: 3033 / Avg: 3133.68 / Max: 3404Min: 3031 / Avg: 3138.39 / Max: 3407Min: 3029 / Avg: 3143.47 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 142.33 / Avg: 503.71 / Max: 615.56Min: 201.39 / Avg: 519.22 / Max: 613.26Min: 188.1 / Avg: 514.1 / Max: 611.78Min: 194.44 / Avg: 518.88 / Max: 616.91. P-State powersave: Approximate power consumption of 7220 Joules per run.2. P-State performance: Approximate power consumption of 7615 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 7540 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 7437 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 55 / Avg: 71.09 / Max: 74Min: 56 / Avg: 72.09 / Max: 75Min: 53 / Avg: 70.23 / Max: 74Min: 56 / Avg: 73.23 / 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 30MP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance48121620SE +/- 0.06, N = 3SE +/- 0.15, N = 15SE +/- 0.14, N = 7SE +/- 0.01, N = 314.9214.7915.0714.491. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 2835.84 / Max: 3400Min: 3003 / Avg: 3226.8 / Max: 3409Min: 1966 / Avg: 3138.55 / Max: 3404Min: 3003 / Avg: 3230.57 / Max: 3408
OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 93.68 / Avg: 308.5 / Max: 569.73Min: 157.86 / Avg: 384.07 / Max: 578.2Min: 91.35 / Avg: 350.4 / Max: 570.36Min: 151.78 / Avg: 394.53 / Max: 641.131. P-State powersave: Approximate power consumption of 2571 Joules per run.2. P-State performance: Approximate power consumption of 2714 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2753 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2762 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 8CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 43 / Avg: 53.2 / Max: 67Min: 54 / Avg: 64.25 / Max: 74Min: 46 / Avg: 59.55 / Max: 71Min: 52 / Avg: 61.81 / Max: 71

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.95, N = 3SE +/- 0.18, N = 3SE +/- 0.49, N = 3SE +/- 0.28, N = 375.6148.1653.0048.65
OpenBenchmarking.orgMegahertz, More Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 2935.33 / Max: 3406Min: 3100 / Avg: 3368.36 / Max: 3410Min: 987 / Avg: 3246.2 / Max: 3407Min: 3003 / Avg: 3374.19 / Max: 3409
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 75.24 / Avg: 239.01 / Max: 575.6Min: 179.14 / Avg: 342.25 / Max: 599.45Min: 67.52 / Avg: 304.22 / Max: 563.41Min: 159.98 / Avg: 344.22 / Max: 580.361. P-State powersave: Approximate power consumption of 4541 Joules per run.2. P-State performance: Approximate power consumption of 4107 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 4158 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 4131 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 33 / Avg: 44.28 / Max: 63Min: 44 / Avg: 54.92 / Max: 67Min: 32 / Avg: 53.59 / Max: 68Min: 49 / Avg: 57.03 / Max: 70

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 9 Realtime - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670SE +/- 0.22, N = 3SE +/- 0.27, N = 5SE +/- 0.16, N = 15SE +/- 0.43, N = 523.5961.0621.7261.271. (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 9 Realtime - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.0560.1120.1680.2240.280.2250.2450.2080.249
OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 1832.57 / Max: 2301Min: 3403 / Avg: 3403.17 / Max: 3404Min: 801 / Avg: 1528.47 / Max: 2303Min: 3400 / Avg: 3402.94 / Max: 3404
OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance50100150200250Min: 53.58 / Avg: 105.03 / Max: 116.92Min: 190.35 / Avg: 249.4 / Max: 289.97Min: 62.67 / Avg: 104.33 / Max: 119.07Min: 148.29 / Avg: 246.52 / Max: 288.871. P-State powersave: Approximate power consumption of 805 Joules per run.2. P-State performance: Approximate power consumption of 898 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 849 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 887 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1122334455Min: 29 / Avg: 30.26 / Max: 31Min: 45 / Avg: 45.17 / Max: 46Min: 35 / Avg: 36.55 / Max: 38Min: 46 / Avg: 47.06 / Max: 53

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: vklBenchmarkStructuredVolumeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20M40M60M80M100MSE +/- 799905.44, N = 4SE +/- 57856.16, N = 3SE +/- 444572.22, N = 3SE +/- 497134.18, N = 37197443810605645877997628106704641MIN: 1304623 / MAX: 672770484MIN: 1396156 / MAX: 908416224MIN: 1380198 / MAX: 693620172MIN: 1343151 / MAX: 909146052
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolumeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance90K180K270K360K450K424481.55438562.32418290.31436355.85
OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2865.77 / Max: 3407Min: 3403 / Avg: 3403.49 / Max: 3408Min: 1430 / Avg: 3076.28 / Max: 3408Min: 3400 / Avg: 3404.86 / Max: 3410
OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance60120180240300Min: 70.71 / Avg: 169.56 / Max: 254.72Min: 150.78 / Avg: 241.83 / Max: 326.7Min: 69.43 / Avg: 186.47 / Max: 255.93Min: 171.57 / Avg: 244.54 / Max: 315.431. P-State powersave: Approximate power consumption of 2204 Joules per run.2. P-State performance: Approximate power consumption of 2983 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2424 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2934 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 38 / Avg: 42.91 / Max: 52Min: 47 / Avg: 49.78 / Max: 59Min: 41 / Avg: 44.92 / Max: 55Min: 50 / Avg: 52.64 / Max: 67

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 13Total TimeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance40M80M120M160M200MSE +/- 1103002.46, N = 3SE +/- 1592768.45, N = 3SE +/- 1451422.61, N = 15SE +/- 2150017.23, N = 31770311221771314281754461821786294741. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fprofile-use -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 13Total TimeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance80K160K240K320K400K392264.24378389.79368173.69380770.10
OpenBenchmarking.orgMegahertz, More Is BetterStockfish 13CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2652.11 / Max: 3002Min: 2987 / Avg: 3105.74 / Max: 3406Min: 2173 / Avg: 3060.37 / Max: 3404Min: 2974 / Avg: 3104.53 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 13CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 90.83 / Avg: 451.31 / Max: 621.48Min: 201.38 / Avg: 468.12 / Max: 625.17Min: 88.29 / Avg: 476.53 / Max: 620.13Min: 194.91 / Avg: 469.13 / Max: 622.471. P-State powersave: Approximate power consumption of 2858 Joules per run.2. P-State performance: Approximate power consumption of 2965 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 3145 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2971 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterStockfish 13CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 47 / Avg: 65.84 / Max: 74Min: 49 / Avg: 66.11 / Max: 73Min: 47 / Avg: 70.45 / Max: 76Min: 53 / Avg: 69.32 / Max: 76

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3691215SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 310.4210.4510.3810.42MIN: 7.69 / MAX: 10.64MIN: 7.94 / MAX: 10.75MIN: 7.69 / MAX: 10.53MIN: 7.14 / MAX: 10.64
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.00720.01440.02160.02880.0360.0320.0310.0310.030
OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 2892.66 / Max: 3405Min: 2525 / Avg: 3111.29 / Max: 3407Min: 2302 / Avg: 2987 / Max: 3406Min: 2522 / Avg: 3100.89 / Max: 3404
OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 59.16 / Avg: 323.61 / Max: 599.83Min: 149.18 / Avg: 340.54 / Max: 585.72Min: 73.16 / Avg: 331.03 / Max: 607.44Min: 155.27 / Avg: 347.72 / Max: 589.211. P-State powersave: Approximate power consumption of 3775 Joules per run.2. P-State performance: Approximate power consumption of 3859 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 3752 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 4057 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 43 / Avg: 55.77 / Max: 69Min: 48 / Avg: 57.83 / Max: 70Min: 45 / Avg: 58.94 / Max: 72Min: 50 / Avg: 59.51 / 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 LavaMDP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance918273645SE +/- 0.23, N = 3SE +/- 0.13, N = 3SE +/- 0.18, N = 3SE +/- 0.47, N = 339.8239.4239.2039.751. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2818.7 / Max: 3406Min: 2809 / Avg: 3011.07 / Max: 3408Min: 1128 / Avg: 2879.69 / Max: 3405Min: 2808 / Avg: 2996.62 / Max: 3407
OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 116.66 / Avg: 449.09 / Max: 618.74Min: 183.88 / Avg: 456.96 / Max: 636.98Min: 138.96 / Avg: 463.63 / Max: 628.59Min: 182.07 / Avg: 463.14 / Max: 633.081. P-State powersave: Approximate power consumption of 4491 Joules per run.2. P-State performance: Approximate power consumption of 4570 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 4327 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 4323 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 46 / Avg: 66.6 / Max: 75Min: 52 / Avg: 69.07 / Max: 76Min: 46 / Avg: 68.1 / Max: 77Min: 50 / Avg: 69.03 / Max: 77

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: 8, Long Mode - Compression Speedintel_cpufreq performanceP-State powersaveP-State performanceintel_cpufreq schedutil2004006008001000SE +/- 2.28, N = 3SE +/- 0.62, N = 3SE +/- 4.09, N = 3SE +/- 2.96, N = 31015.8296.01011.9311.71. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Compression Speedintel_cpufreq performance0.93581.87162.80743.74324.6794.159

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance918273645SE +/- 0.04, N = 3SE +/- 0.07, N = 4SE +/- 0.02, N = 3SE +/- 0.07, N = 413.2638.2111.3038.261. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.02250.0450.06750.090.11250.0950.0980.0840.100
OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2163.14 / Max: 2304Min: 3187 / Avg: 3326.78 / Max: 3403Min: 1104 / Avg: 2065.03 / Max: 3400Min: 2206 / Avg: 3265.78 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance90180270360450Min: 67.13 / Avg: 139.77 / Max: 156.87Min: 211.36 / Avg: 388.55 / Max: 491.72Min: 70.86 / Avg: 134.05 / Max: 148.83Min: 169.52 / Avg: 382.68 / Max: 491.991. P-State powersave: Approximate power consumption of 1631 Joules per run.2. P-State performance: Approximate power consumption of 1748 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1787 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1722 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 38 / Avg: 40.57 / Max: 43Min: 48 / Avg: 58.56 / Max: 65Min: 38 / Avg: 40.93 / Max: 43Min: 46 / Avg: 58.22 / Max: 66

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance700M1400M2100M2800M3500MSE +/- 19182283.49, N = 3SE +/- 5500404.03, N = 3SE +/- 69564540.69, N = 12SE +/- 8774394.57, N = 330299000003066133333300312500030726000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1.4M2.8M4.2M5.6M7M6754065.396392760.376436493.636437714.60
OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2843.06 / Max: 3300Min: 3102 / Avg: 3213.59 / Max: 3404Min: 1823 / Avg: 3216.32 / Max: 3407Min: 3100 / Avg: 3242.06 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 57.22 / Avg: 448.6 / Max: 567.92Min: 178.13 / Avg: 479.63 / Max: 584.33Min: 75.6 / Avg: 466.58 / Max: 591.16Min: 212.42 / Avg: 477.28 / Max: 581.051. P-State powersave: Approximate power consumption of 2692 Joules per run.2. P-State performance: Approximate power consumption of 2718 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2644 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2705 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 2021.01.31CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 44 / Avg: 65.94 / Max: 74Min: 53 / Avg: 68.24 / Max: 74Min: 45 / Avg: 65.91 / Max: 76Min: 53 / Avg: 64.47 / Max: 75

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1122334455SE +/- 0.14, N = 3SE +/- 0.31, N = 15SE +/- 0.06, N = 3SE +/- 0.56, N = 423.0346.3120.5346.341. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.03890.07780.11670.15560.19450.1730.1350.1550.138
OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2174.62 / Max: 2300Min: 3117 / Avg: 3297.86 / Max: 3403Min: 1141 / Avg: 2221.91 / Max: 2303Min: 3101 / Avg: 3294.06 / Max: 3404
OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance80160240320400Min: 57.13 / Avg: 133.25 / Max: 155.05Min: 183.25 / Avg: 343.76 / Max: 438.45Min: 55.87 / Avg: 132.04 / Max: 150.24Min: 191.24 / Avg: 335.45 / Max: 439.771. P-State powersave: Approximate power consumption of 933 Joules per run.2. P-State performance: Approximate power consumption of 1329 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1012 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1342 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 36 / Avg: 38.33 / Max: 39Min: 54 / Avg: 60.69 / Max: 65Min: 37 / Avg: 38.7 / Max: 39Min: 54 / Avg: 60.56 / Max: 63

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2K4K6K8K10KSE +/- 65.72, N = 3SE +/- 60.08, N = 13SE +/- 22.19, N = 3SE +/- 38.79, N = 48620.978920.108634.308938.091. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance51015202520.7419.4920.0819.33
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2591.38 / Max: 3011Min: 3001 / Avg: 3144.2 / Max: 3403Min: 802 / Avg: 2945.33 / Max: 3403Min: 3005 / Avg: 3157.75 / Max: 3404
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 68.09 / Avg: 415.62 / Max: 569.79Min: 165.49 / Avg: 457.76 / Max: 585Min: 72.03 / Avg: 429.9 / Max: 565.76Min: 184.41 / Avg: 462.4 / Max: 576.051. P-State powersave: Approximate power consumption of 2217 Joules per run.2. P-State performance: Approximate power consumption of 2289 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2150 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2312 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 37 / Avg: 55.25 / Max: 67Min: 51 / Avg: 69.22 / Max: 76Min: 38 / Avg: 57.87 / Max: 68Min: 50 / Avg: 66.45 / Max: 74

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bareP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3691215SE +/- 0.038, N = 3SE +/- 0.048, N = 3SE +/- 0.035, N = 3SE +/- 0.011, N = 38.9999.0529.0429.1021. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bareP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.00450.0090.01350.0180.02250.020.020.020.02
OpenBenchmarking.orgMegahertz, More Is BetterGROMACS 2021.2CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 2836.27 / Max: 3400Min: 2900 / Avg: 3141.12 / Max: 3403Min: 2231 / Avg: 3064.09 / Max: 3403Min: 2903 / Avg: 3164.3 / Max: 3404
OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2021.2CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance130260390520650Min: 63.01 / Avg: 444.82 / Max: 722.02Min: 70.83 / Avg: 461.5 / Max: 574.54Min: 178.07 / Avg: 460.67 / Max: 570.56Min: 154.65 / Avg: 465.32 / Max: 569.811. P-State powersave: Approximate power consumption of 4893 Joules per run.2. P-State performance: Approximate power consumption of 5076 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 4914 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 5119 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2021.2CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 48 / Avg: 63.09 / Max: 74Min: 52 / Avg: 66.64 / Max: 76Min: 53 / Avg: 67.38 / Max: 76Min: 52 / Avg: 62.82 / Max: 71

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: BMW27 - Compute: CPU-OnlyP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance714212835SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.27, N = 3SE +/- 0.15, N = 329.7228.4029.2528.28
OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2703.5 / Max: 3408Min: 2793 / Avg: 3139.57 / Max: 3408Min: 2792 / Avg: 3106.5 / Max: 3406Min: 2786 / Avg: 3127.35 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 147.12 / Avg: 424.16 / Max: 634.87Min: 160.87 / Avg: 450.69 / Max: 608.52Min: 148.68 / Avg: 437.21 / Max: 595.04Min: 159.03 / Avg: 452.1 / Max: 617.611. P-State powersave: Approximate power consumption of 3393 Joules per run.2. P-State performance: Approximate power consumption of 3455 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 3498 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 3466 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 53 / Avg: 67.58 / Max: 75Min: 56 / Avg: 68.57 / Max: 74Min: 56 / Avg: 68.42 / Max: 74Min: 56 / Avg: 69.39 / Max: 75

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: 10, LosslessP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance246810SE +/- 0.141, N = 15SE +/- 0.031, N = 6SE +/- 0.124, N = 15SE +/- 0.040, N = 68.8337.2488.4867.2761. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2544.65 / Max: 3404Min: 3403 / Avg: 3403.25 / Max: 3404Min: 802 / Avg: 3112.98 / Max: 3405Min: 3403 / Avg: 3404.06 / Max: 3408
OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance4080120160200Min: 61.75 / Avg: 132.41 / Max: 209.55Min: 174.65 / Avg: 208.79 / Max: 243.15Min: 70.97 / Avg: 148.01 / Max: 226.15Min: 176.23 / Avg: 208.82 / Max: 247.31. P-State powersave: Approximate power consumption of 406 Joules per run.2. P-State performance: Approximate power consumption of 557 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 434 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 592 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1020304050Min: 36 / Avg: 39.11 / Max: 50Min: 44 / Avg: 45.31 / Max: 46Min: 38 / Avg: 40.71 / Max: 43Min: 47 / Avg: 49.47 / Max: 52

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 8 Realtime - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1122334455SE +/- 0.02, N = 3SE +/- 0.30, N = 4SE +/- 0.03, N = 3SE +/- 0.52, N = 417.0748.6215.9048.911. (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 8 Realtime - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.04280.08560.12840.17120.2140.1630.1900.1510.190
OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 1794.37 / Max: 2287Min: 3403 / Avg: 3403.59 / Max: 3407Min: 810 / Avg: 1371.84 / Max: 3202Min: 3400 / Avg: 3402.88 / Max: 3404
OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance60120180240300Min: 67.68 / Avg: 104.93 / Max: 115.92Min: 186.24 / Avg: 255.52 / Max: 299.16Min: 66.96 / Avg: 105.1 / Max: 114.78Min: 181.67 / Avg: 257.12 / Max: 310.921. P-State powersave: Approximate power consumption of 1049 Joules per run.2. P-State performance: Approximate power consumption of 1086 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1121 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1093 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1020304050Min: 29 / Avg: 31.23 / Max: 32Min: 44 / Avg: 44.29 / Max: 45Min: 34 / Avg: 35.91 / Max: 37Min: 45 / Avg: 45.71 / Max: 47

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.65931.31861.97792.63723.2965SE +/- 0.00, N = 4SE +/- 0.01, N = 5SE +/- 0.03, N = 15SE +/- 0.00, N = 52.852.932.782.93
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.0020.0040.0060.0080.010.0090.0080.0090.008
OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 1.4.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2026 / Max: 3174Min: 2636 / Avg: 3222.61 / Max: 3404Min: 1088 / Avg: 2854.38 / Max: 3403Min: 2931 / Avg: 3285.83 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 84.73 / Avg: 307.44 / Max: 558.26Min: 154.84 / Avg: 346.3 / Max: 560.69Min: 59.73 / Avg: 321.88 / Max: 551.23Min: 158.46 / Avg: 349.72 / Max: 562.621. P-State powersave: Approximate power consumption of 1153 Joules per run.2. P-State performance: Approximate power consumption of 1247 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1202 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1259 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 49 / Avg: 58.07 / Max: 68Min: 55 / Avg: 62.11 / Max: 73Min: 50 / Avg: 60.13 / Max: 72Min: 55 / Avg: 62.67 / 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 StreamclusterP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance246810SE +/- 0.058, N = 15SE +/- 0.078, N = 15SE +/- 0.044, N = 6SE +/- 0.076, N = 67.7107.8167.7127.7271. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2548.02 / Max: 3405Min: 3000 / Avg: 3285.56 / Max: 3411Min: 1420 / Avg: 3152.44 / Max: 3403Min: 3000 / Avg: 3261.24 / Max: 3404
OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance90180270360450Min: 54.95 / Avg: 331.97 / Max: 522.27Min: 150.91 / Avg: 343.81 / Max: 499.32Min: 69.03 / Avg: 315.97 / Max: 481.87Min: 189.02 / Avg: 331.18 / Max: 492.131. P-State powersave: Approximate power consumption of 907 Joules per run.2. P-State performance: Approximate power consumption of 940 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 843 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 938 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 39 / Avg: 54.76 / Max: 63Min: 52 / Avg: 57.61 / Max: 64Min: 46 / Avg: 58 / Max: 65Min: 54 / Avg: 59.24 / Max: 64

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.00, N = 3SE +/- 0.00, N = 390.91100.0090.91100.00MIN: 58.82 / MAX: 100MIN: 62.5 / MAX: 111.11MIN: 47.62 / MAX: 100MIN: 55.56 / MAX: 111.11
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.10040.20080.30120.40160.5020.4460.4420.4410.440
OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 3218.33 / Max: 3401Min: 3400 / Avg: 3403.29 / Max: 3404Min: 2302 / Avg: 3282.82 / Max: 3406Min: 2585 / Avg: 3364.24 / Max: 3404
OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance80160240320400Min: 112.64 / Avg: 203.91 / Max: 296.92Min: 166.4 / Avg: 226.29 / Max: 422.05Min: 91.42 / Avg: 206.05 / Max: 408.3Min: 178.25 / Avg: 227.44 / Max: 428.281. P-State powersave: Approximate power consumption of 1427 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1511 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1224364860Min: 48 / Avg: 51.05 / Max: 61Min: 49 / Avg: 51.48 / Max: 54Min: 47 / Avg: 52.73 / Max: 61Min: 51 / Avg: 53.14 / Max: 55

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3691215SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.3810.3110.3110.31MIN: 8.06 / MAX: 10.53MIN: 8.33 / MAX: 10.75MIN: 7.75 / MAX: 10.53MIN: 8.26 / MAX: 10.75
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.00540.01080.01620.02160.0270.0240.0230.0230.023
OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2603.9 / Max: 3400Min: 2511 / Avg: 2854.55 / Max: 3403Min: 2175 / Avg: 2802.6 / Max: 3403Min: 2510 / Avg: 2814.79 / Max: 3404
OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 141.96 / Avg: 430.1 / Max: 597.4Min: 160.75 / Avg: 444.9 / Max: 606.84Min: 164.29 / Avg: 439.99 / Max: 605.92Min: 189.89 / Avg: 449.5 / Max: 597.191. P-State powersave: Approximate power consumption of 3011 Joules per run.2. P-State performance: Approximate power consumption of 2966 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2933 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2847 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 48 / Avg: 64.57 / Max: 73Min: 53 / Avg: 67.35 / Max: 74Min: 53 / Avg: 67.65 / Max: 75Min: 54 / Avg: 67.79 / Max: 75

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265SE +/- 0.20, N = 3SE +/- 0.24, N = 4SE +/- 0.47, N = 3SE +/- 0.31, N = 430.5556.8935.4856.751. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.04390.08780.13170.17560.21950.1950.1860.1830.185
OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 0.8.7CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2168.65 / Max: 2307Min: 3400 / Avg: 3403.39 / Max: 3408Min: 2300 / Avg: 2741.55 / Max: 3405Min: 3400 / Avg: 3403.11 / Max: 3406
OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance90180270360450Min: 56.43 / Avg: 156.48 / Max: 236.63Min: 185.5 / Avg: 305.66 / Max: 490.45Min: 74.6 / Avg: 193.39 / Max: 331.99Min: 162.76 / Avg: 306.04 / Max: 496.121. P-State powersave: Approximate power consumption of 1200 Joules per run.2. P-State performance: Approximate power consumption of 1375 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1289 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1377 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8.7CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 39 / Avg: 42.43 / Max: 47Min: 48 / Avg: 53.22 / Max: 63Min: 44 / Avg: 48.3 / Max: 53Min: 47 / Avg: 53.84 / Max: 64

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.06130.12260.18390.24520.3065SE +/- 0.00040, N = 3SE +/- 0.00055, N = 3SE +/- 0.00043, N = 3SE +/- 0.00021, N = 30.270930.271680.272270.27051
OpenBenchmarking.orgMegahertz, More Is BetterNAMD 2.14CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2883.46 / Max: 3010Min: 2946 / Avg: 3123.81 / Max: 3403Min: 2942 / Avg: 3094.25 / Max: 3404Min: 2922 / Avg: 3115.06 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 128.57 / Avg: 476.63 / Max: 646.73Min: 189.39 / Avg: 455.92 / Max: 636.3Min: 145.23 / Avg: 428.93 / Max: 609.18Min: 161.95 / Avg: 459.1 / Max: 634.991. P-State powersave: Approximate power consumption of 3813 Joules per run.2. P-State performance: Approximate power consumption of 2280 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2288 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2449 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD 2.14CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 51 / Avg: 66.92 / Max: 70Min: 54 / Avg: 65.31 / Max: 69Min: 51 / Avg: 63.38 / Max: 69Min: 54 / Avg: 65.38 / Max: 70

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x4096P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.3150.630.9451.261.575SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.381.401.381.40
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x4096P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.00090.00180.00270.00360.00450.0040.0040.0040.004
OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 1.4.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2186.89 / Max: 3299Min: 2851 / Avg: 3312.5 / Max: 3411Min: 2301 / Avg: 3088.58 / Max: 3404Min: 2804 / Avg: 3247.22 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 75.21 / Avg: 357.43 / Max: 557.99Min: 151.58 / Avg: 384.8 / Max: 559.45Min: 92.26 / Avg: 363.77 / Max: 561.57Min: 186.86 / Avg: 380.7 / Max: 559.641. P-State powersave: Approximate power consumption of 2145 Joules per run.2. P-State performance: Approximate power consumption of 2309 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2304 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2284 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 45 / Avg: 60.28 / Max: 72Min: 52 / Avg: 61.28 / Max: 72Min: 48 / Avg: 63 / Max: 72Min: 53 / Avg: 62.78 / Max: 72

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon ObjP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.41, N = 3SE +/- 0.48, N = 3SE +/- 0.38, N = 3SE +/- 0.14, N = 387.2189.0987.9989.49MIN: 69.09 / MAX: 97.86MIN: 70.73 / MAX: 97.89MIN: 70.3 / MAX: 98.24MIN: 71.05 / MAX: 98.17
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon ObjP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.06910.13820.20730.27640.34550.3070.2910.3000.289
OpenBenchmarking.orgMegahertz, More Is BetterEmbree 3.13CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 3030.42 / Max: 3404Min: 2668 / Avg: 3214.68 / Max: 3405Min: 1100 / Avg: 2994.95 / Max: 3404Min: 2691 / Avg: 3232.79 / Max: 3410
OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 102.3 / Avg: 284.36 / Max: 554.76Min: 162.98 / Avg: 305.66 / Max: 571.31Min: 128.17 / Avg: 293.24 / Max: 576.12Min: 151.54 / Avg: 309.96 / Max: 582.821. P-State powersave: Approximate power consumption of 1801 Joules per run.2. P-State performance: Approximate power consumption of 1834 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1857 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1963 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.13CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 52 / Avg: 56.37 / Max: 66Min: 54 / Avg: 57.47 / Max: 67Min: 54 / Avg: 58.84 / Max: 70Min: 55 / Avg: 58.84 / Max: 68

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance40K80K120K160K200KSE +/- 416.58, N = 4SE +/- 313.16, N = 4SE +/- 322.38, N = 4SE +/- 230.36, N = 4191166.41197815.31191705.02197821.881. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500473.91454.64475.18445.67
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 3013.45 / Max: 3300Min: 3107 / Avg: 3268.11 / Max: 3404Min: 1534 / Avg: 3158.75 / Max: 3405Min: 3107 / Avg: 3283.44 / Max: 3406
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 62.09 / Avg: 403.38 / Max: 562.15Min: 142.12 / Avg: 435.1 / Max: 592.61Min: 62.81 / Avg: 403.44 / Max: 562.6Min: 137.84 / Avg: 443.88 / Max: 612.391. P-State powersave: Approximate power consumption of 2017 Joules per run.2. P-State performance: Approximate power consumption of 1958 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2017 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1997 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 28 / Avg: 50.7 / Max: 65Min: 36 / Avg: 56 / Max: 67Min: 28 / Avg: 52.3 / Max: 66Min: 36 / Avg: 55.56 / Max: 68

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance510152025SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 418.8718.8718.8718.87MIN: 13.7 / MAX: 19.23MIN: 13.89 / MAX: 19.61MIN: 12.2 / MAX: 19.23MIN: 12.99 / MAX: 19.61
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.01150.0230.03450.0460.05750.0510.0470.0480.046
OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2426.39 / Max: 3400Min: 2525 / Avg: 3000.18 / Max: 3407Min: 2202 / Avg: 2948.72 / Max: 3404Min: 2517 / Avg: 3070 / Max: 3408
OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 67.52 / Avg: 367.6 / Max: 594.21Min: 151.34 / Avg: 403.79 / Max: 607.17Min: 68.06 / Avg: 393.07 / Max: 604.2Min: 205.96 / Avg: 414.57 / Max: 603.221. P-State powersave: Approximate power consumption of 1654 Joules per run.2. P-State performance: Approximate power consumption of 1716 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1769 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1762 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 33 / Avg: 53.44 / Max: 66Min: 48 / Avg: 60 / Max: 70Min: 37 / Avg: 57.78 / Max: 70Min: 48 / Avg: 61.72 / Max: 72

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 160 - Buffer Length: 256 - Filter Length: 57P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance700M1400M2100M2800M3500MSE +/- 12922117.13, N = 3SE +/- 2605762.84, N = 3SE +/- 1071343.91, N = 3SE +/- 5955109.85, N = 330739333333085100000308253333330967000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 160 - Buffer Length: 256 - Filter Length: 57P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1.4M2.8M4.2M5.6M7M6650836.156607333.416576582.796658045.41
OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2836.47 / Max: 3000Min: 2958 / Avg: 3071.06 / Max: 3403Min: 2959 / Avg: 3071.47 / Max: 3404Min: 2956 / Avg: 3069.12 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 157.23 / Avg: 462.19 / Max: 625.01Min: 196.53 / Avg: 466.92 / Max: 607.33Min: 169.26 / Avg: 468.71 / Max: 615.16Min: 196.38 / Avg: 465.11 / Max: 607.381. P-State powersave: Approximate power consumption of 2465 Joules per run.2. P-State performance: Approximate power consumption of 2646 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2656 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2636 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 2021.01.31CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 52 / Avg: 69.71 / Max: 75Min: 55 / Avg: 70.47 / Max: 74Min: 55 / Avg: 70.47 / Max: 75Min: 55 / Avg: 69.88 / Max: 75

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 57P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance700M1400M2100M2800M3500MSE +/- 10910901.79, N = 3SE +/- 6806124.69, N = 3SE +/- 4817445.15, N = 3SE +/- 5329477.77, N = 332701333333293000000329146666732934000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 57P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1.5M3M4.5M6M7.5M6911581.207053355.327058626.646985743.48
OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 2873.18 / Max: 3008Min: 2990 / Avg: 3096.47 / Max: 3405Min: 2880 / Avg: 3066.29 / Max: 3403Min: 2183 / Avg: 3000.35 / Max: 3408
OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 101.38 / Avg: 473.14 / Max: 582.51Min: 148.18 / Avg: 466.87 / Max: 588.19Min: 157.24 / Avg: 466.3 / Max: 582.91Min: 167.99 / Avg: 471.45 / Max: 578.951. P-State powersave: Approximate power consumption of 2681 Joules per run.2. P-State performance: Approximate power consumption of 2490 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2642 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2672 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 2021.01.31CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 47 / Avg: 67.41 / Max: 73Min: 51 / Avg: 68 / Max: 74Min: 49 / Avg: 67.88 / Max: 74Min: 53 / Avg: 68.24 / Max: 73

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance246810SE +/- 0.067, N = 15SE +/- 0.068, N = 15SE +/- 0.088, N = 15SE +/- 0.128, N = 154.2926.1316.4544.0051. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgMegahertz, More Is BetterArrayFire 3.7CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2569.52 / Max: 3405Min: 3403 / Avg: 3404 / Max: 3408Min: 2303 / Avg: 3284.24 / Max: 3405Min: 3403 / Avg: 3403.96 / Max: 3410
OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance60120180240300Min: 89.33 / Avg: 183.15 / Max: 264.32Min: 160.27 / Avg: 246.19 / Max: 325.31Min: 136.62 / Avg: 220.97 / Max: 305.86Min: 153.66 / Avg: 242.98 / Max: 320.921. P-State powersave: Approximate power consumption of 342 Joules per run.2. P-State performance: Approximate power consumption of 476 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 427 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 454 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1122334455Min: 38 / Avg: 41.55 / Max: 44Min: 46 / Avg: 47.21 / Max: 54Min: 42 / Avg: 44.79 / Max: 48Min: 46 / Avg: 46.93 / Max: 49

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20K40K60K80K100KSE +/- 139.83, N = 3SE +/- 159.72, N = 4SE +/- 142.93, N = 3SE +/- 55.17, N = 491313.6091817.7691642.3391830.561. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance50100150200250220.93203.56223.98201.24
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 2989.2 / Max: 3302Min: 3102 / Avg: 3269.5 / Max: 3404Min: 1801 / Avg: 3114.31 / Max: 3403Min: 3103 / Avg: 3241.4 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 95.36 / Avg: 413.32 / Max: 571.91Min: 193.42 / Avg: 451.05 / Max: 596.84Min: 94.71 / Avg: 409.15 / Max: 564.77Min: 191.43 / Avg: 456.32 / Max: 596.991. P-State powersave: Approximate power consumption of 2067 Joules per run.2. P-State performance: Approximate power consumption of 2255 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2182 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2282 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 46 / Avg: 60 / Max: 68Min: 55 / Avg: 66.7 / Max: 73Min: 45 / Avg: 60.63 / Max: 69Min: 54 / Avg: 67.3 / Max: 72

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000SE +/- 29.00, N = 4SE +/- 15.07, N = 4SE +/- 32.51, N = 4SE +/- 5.86, N = 42999.723014.772926.262978.521. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2468108.7457.7458.2207.784
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2760.85 / Max: 3307Min: 3202 / Avg: 3281.56 / Max: 3403Min: 3102 / Avg: 3230.58 / Max: 3405Min: 3105 / Avg: 3279.19 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 89.13 / Avg: 343.03 / Max: 549.93Min: 189.4 / Avg: 389.23 / Max: 549.94Min: 121.86 / Avg: 356 / Max: 539.95Min: 191.26 / Avg: 382.65 / Max: 557.861. P-State powersave: Approximate power consumption of 1715 Joules per run.2. P-State performance: Approximate power consumption of 1557 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1691 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1531 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 50 / Avg: 62.25 / Max: 73Min: 57 / Avg: 61.56 / Max: 68Min: 50 / Avg: 61.58 / Max: 69Min: 59 / Avg: 66.5 / Max: 74

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance10002000300040005000SE +/- 10.80, N = 4SE +/- 24.52, N = 4SE +/- 36.10, N = 4SE +/- 11.74, N = 44538.694539.994510.294574.831. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterArrayFire 3.7Test: BLAS CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance369121512.8712.1712.4612.33
OpenBenchmarking.orgMegahertz, More Is BetterArrayFire 3.7CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 3051.12 / Max: 3408Min: 3403 / Avg: 3406.94 / Max: 3437Min: 3300 / Avg: 3386 / Max: 3408Min: 2233 / Avg: 3338.35 / Max: 3433
OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance90180270360450Min: 151.4 / Avg: 352.76 / Max: 502.81Min: 193.47 / Avg: 372.96 / Max: 497.36Min: 142.14 / Avg: 362.09 / Max: 489.19Min: 162.15 / Avg: 371 / Max: 504.131. P-State powersave: Approximate power consumption of 1499 Joules per run.2. P-State performance: Approximate power consumption of 1492 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1539 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1577 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1224364860Min: 44 / Avg: 52.12 / Max: 61Min: 47 / Avg: 52.13 / Max: 63Min: 46 / Avg: 50.88 / Max: 62Min: 47 / Avg: 54.59 / Max: 63

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: 10P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1.17112.34223.51334.68445.8555SE +/- 0.099, N = 15SE +/- 0.014, N = 8SE +/- 0.066, N = 15SE +/- 0.013, N = 85.2054.3415.1344.3401. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2497.91 / Max: 3404Min: 3403 / Avg: 3404.2 / Max: 3410Min: 802 / Avg: 2852.45 / Max: 3404Min: 3403 / Avg: 3404.6 / Max: 3410
OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance4080120160200Min: 62.5 / Avg: 127.88 / Max: 203.15Min: 154.93 / Avg: 207.16 / Max: 244.01Min: 58.18 / Avg: 142.55 / Max: 217.79Min: 149.58 / Avg: 209.44 / Max: 244.261. P-State powersave: Approximate power consumption of 273 Joules per run.2. P-State performance: Approximate power consumption of 388 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 304 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 393 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1122334455Min: 38 / Avg: 41.72 / Max: 46Min: 46 / Avg: 47.67 / Max: 49Min: 40 / Avg: 45.42 / Max: 51Min: 52 / Avg: 54.13 / Max: 56

Timed Mesa Compilation

This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To CompileP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance510152025SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 318.9818.5018.7518.52
OpenBenchmarking.orgMegahertz, More Is BetterTimed Mesa Compilation 21.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2918.44 / Max: 3404Min: 2948 / Avg: 3346.44 / Max: 3407Min: 802 / Avg: 3134.17 / Max: 3404Min: 3041 / Avg: 3364.13 / Max: 3406
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 21.0CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 80.26 / Avg: 259.36 / Max: 495.38Min: 171.88 / Avg: 313.3 / Max: 623.67Min: 65.05 / Avg: 271.52 / Max: 488.71Min: 189.91 / Avg: 301.54 / Max: 617.021. P-State powersave: Approximate power consumption of 1556 Joules per run.2. P-State performance: Approximate power consumption of 1671 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1629 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1508 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Mesa Compilation 21.0CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 43 / Avg: 52 / Max: 63Min: 52 / Avg: 56.19 / Max: 68Min: 46 / Avg: 54.28 / Max: 65Min: 52 / Avg: 57.31 / Max: 67

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.65931.31861.97792.63723.2965SE +/- 0.01, N = 4SE +/- 0.01, N = 5SE +/- 0.02, N = 4SE +/- 0.01, N = 52.872.932.882.93
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.0020.0040.0060.0080.010.0090.0080.0090.009
OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 1.4.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2119.64 / Max: 3300Min: 2861 / Avg: 3319.28 / Max: 3404Min: 2125 / Avg: 3050.07 / Max: 3403Min: 2900 / Avg: 3286.28 / Max: 3404
OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 71.74 / Avg: 336.56 / Max: 551.39Min: 159.46 / Avg: 346.39 / Max: 561.43Min: 89.87 / Avg: 324.72 / Max: 557.38Min: 179.38 / Avg: 341.77 / Max: 560.51. P-State powersave: Approximate power consumption of 1094 Joules per run.2. P-State performance: Approximate power consumption of 1247 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1218 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1230 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 46 / Avg: 56.93 / Max: 67Min: 52 / Avg: 59.78 / Max: 69Min: 50 / Avg: 59.8 / Max: 72Min: 54 / Avg: 60.17 / Max: 69

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance714212835SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 527.7827.7827.7827.78MIN: 15.87 / MAX: 29.41MIN: 17.54 / MAX: 29.41MIN: 16.95 / MAX: 28.57MIN: 17.54 / MAX: 29.41
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.01730.03460.05190.06920.08650.0750.0720.0770.071
OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2370 / Max: 3400Min: 2473 / Avg: 2991 / Max: 3404Min: 2514 / Avg: 2971.19 / Max: 3403Min: 2508 / Avg: 3032 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 67.59 / Avg: 368.04 / Max: 608.4Min: 189.31 / Avg: 387.6 / Max: 594.03Min: 81.78 / Avg: 361.3 / Max: 543.25Min: 152.68 / Avg: 393.98 / Max: 593.411. P-State powersave: Approximate power consumption of 1251 Joules per run.2. P-State performance: Approximate power consumption of 1240 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1156 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1261 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 45 / Avg: 58.94 / Max: 69Min: 52 / Avg: 63.25 / Max: 71Min: 47 / Avg: 60.81 / Max: 70Min: 54 / Avg: 63.81 / Max: 72

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1632486480SE +/- 0.21, N = 5SE +/- 0.18, N = 5SE +/- 0.18, N = 5SE +/- 0.34, N = 566.5374.0667.7574.24MIN: 59.75 / MAX: 87.7MIN: 64.5 / MAX: 94.28MIN: 60.74 / MAX: 88.34MIN: 64.44 / MAX: 93.9
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.04480.08960.13440.17920.2240.1830.1850.1990.181
OpenBenchmarking.orgMegahertz, More Is BetterEmbree 3.13CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2384.44 / Max: 2984Min: 2685 / Avg: 3093.6 / Max: 3404Min: 1800 / Avg: 2658.81 / Max: 3400Min: 2723 / Avg: 3097.53 / Max: 3409
OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 109.8 / Avg: 362.73 / Max: 513.84Min: 198.92 / Avg: 399.51 / Max: 489.27Min: 121.28 / Avg: 340.04 / Max: 509.96Min: 191.18 / Avg: 410.29 / Max: 575.321. P-State powersave: Approximate power consumption of 1088 Joules per run.2. P-State performance: Approximate power consumption of 1199 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1088 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1231 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.13CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 50 / Avg: 60.5 / Max: 67Min: 53 / Avg: 64.4 / Max: 71Min: 53 / Avg: 62.5 / Max: 69Min: 54 / Avg: 65.47 / Max: 71

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance40K80K120K160K200KSE +/- 1423.68, N = 4SE +/- 364.13, N = 4SE +/- 196.76, N = 4SE +/- 495.98, N = 4174911.02187300.47177878.68186973.061. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500478.36440.34467.72445.54
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 2884.06 / Max: 3300Min: 3105 / Avg: 3267.2 / Max: 3403Min: 1872 / Avg: 3145.5 / Max: 3404Min: 3104 / Avg: 3288.4 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 84.55 / Avg: 365.65 / Max: 553.97Min: 190.2 / Avg: 425.35 / Max: 593Min: 134.77 / Avg: 380.31 / Max: 554.48Min: 195.36 / Avg: 419.65 / Max: 579.561. P-State powersave: Approximate power consumption of 1463 Joules per run.2. P-State performance: Approximate power consumption of 1595 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1521 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1574 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 47 / Avg: 58.81 / Max: 69Min: 55 / Avg: 66.6 / Max: 73Min: 47 / Avg: 60.69 / Max: 68Min: 54 / Avg: 65.2 / Max: 72

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: input.i3d 193 Cells Per DirectionP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3691215SE +/- 0.03, N = 4SE +/- 0.05, N = 4SE +/- 0.01, N = 4SE +/- 0.02, N = 411.1911.0611.2111.061. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 2696.75 / Max: 3075Min: 3004 / Avg: 3177.13 / Max: 3403Min: 3003 / Avg: 3152.31 / Max: 3405Min: 3002 / Avg: 3204.94 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 111.25 / Avg: 393.86 / Max: 566.67Min: 214.22 / Avg: 429.08 / Max: 570.89Min: 180.21 / Avg: 396.01 / Max: 567.63Min: 160.76 / Avg: 422.84 / Max: 573.081. P-State powersave: Approximate power consumption of 1575 Joules per run.2. P-State performance: Approximate power consumption of 1716 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1584 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1691 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 46 / Avg: 56.88 / Max: 66Min: 51 / Avg: 60.44 / Max: 66Min: 51 / Avg: 58.44 / Max: 65Min: 52 / Avg: 60.88 / Max: 65

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 CFD SolverP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1.08612.17223.25834.34445.4305SE +/- 0.041, N = 15SE +/- 0.036, N = 8SE +/- 0.014, N = 8SE +/- 0.019, N = 84.8274.7464.7104.7291. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2410.19 / Max: 3406Min: 3403 / Avg: 3403.13 / Max: 3404Min: 2226 / Avg: 3333.41 / Max: 3403Min: 3403 / Avg: 3403.13 / Max: 3404
OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance90180270360450Min: 119.45 / Avg: 287.31 / Max: 496.81Min: 193.73 / Avg: 311.03 / Max: 390.79Min: 184.64 / Avg: 297.27 / Max: 483.2Min: 194.11 / Avg: 297.99 / Max: 490.611. P-State powersave: Approximate power consumption of 575 Joules per run.2. P-State performance: Approximate power consumption of 622 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 632 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 596 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 48 / Avg: 52.97 / Max: 63Min: 54 / Avg: 59.56 / Max: 68Min: 49 / Avg: 53.53 / Max: 63Min: 52 / Avg: 55.94 / Max: 65

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500SE +/- 1.53, N = 7SE +/- 4.77, N = 15SE +/- 2.47, N = 15SE +/- 3.11, N = 13206.54453.67260.25457.021. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.46710.93421.40131.86842.33551.9391.9222.0761.919
OpenBenchmarking.orgMegahertz, More Is BetterSVT-VP9 0.3CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 1713.75 / Max: 2305Min: 3403 / Avg: 3403.13 / Max: 3405Min: 801 / Avg: 2429.73 / Max: 3396Min: 3400 / Avg: 3403.19 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance50100150200250Min: 53.74 / Avg: 106.51 / Max: 160.68Min: 171.63 / Avg: 236.03 / Max: 292.56Min: 64.78 / Avg: 125.37 / Max: 194.45Min: 158.61 / Avg: 238.19 / Max: 290.611. P-State powersave: Approximate power consumption of 243 Joules per run.2. P-State performance: Approximate power consumption of 362 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 251 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 385 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.3CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1122334455Min: 30 / Avg: 32.06 / Max: 36Min: 46 / Avg: 48.04 / Max: 55Min: 36 / Avg: 39.3 / Max: 43Min: 47 / Avg: 48.95 / Max: 55

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.79, N = 6SE +/- 0.42, N = 6SE +/- 0.80, N = 6SE +/- 0.56, N = 6106.62107.63102.70106.17MIN: 84.26 / MAX: 112.87MIN: 88.63 / MAX: 112.78MIN: 81.43 / MAX: 111.73MIN: 84.09 / MAX: 112.29
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.0650.130.1950.260.3250.2890.2740.2740.264
OpenBenchmarking.orgMegahertz, More Is BetterEmbree 3.13CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2376.88 / Max: 3012Min: 2666 / Avg: 3137.6 / Max: 3403Min: 1381 / Avg: 2603.19 / Max: 3400Min: 2651 / Avg: 3144 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 141.22 / Avg: 368.39 / Max: 592.35Min: 154.3 / Avg: 392.31 / Max: 597.66Min: 157.43 / Avg: 374.6 / Max: 575.08Min: 166.41 / Avg: 402.74 / Max: 597.271. P-State powersave: Approximate power consumption of 982 Joules per run.2. P-State performance: Approximate power consumption of 981 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 999 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1007 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.13CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 52 / Avg: 62.38 / Max: 70Min: 55 / Avg: 63.73 / Max: 71Min: 57 / Avg: 65.38 / Max: 71Min: 56 / Avg: 65.27 / Max: 72

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500SE +/- 1.16, N = 7SE +/- 2.03, N = 10SE +/- 2.52, N = 15SE +/- 2.50, N = 10210.92460.44262.78464.711. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.45720.91441.37161.82882.2862.0291.9922.0321.999
OpenBenchmarking.orgMegahertz, More Is BetterSVT-VP9 0.3CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 1799.53 / Max: 2300Min: 3403 / Avg: 3403.07 / Max: 3404Min: 2300 / Avg: 2555.57 / Max: 3404Min: 3403 / Avg: 3403.19 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance50100150200250Min: 53.73 / Avg: 103.97 / Max: 158.17Min: 152.03 / Avg: 231.2 / Max: 283.33Min: 61.68 / Avg: 129.31 / Max: 201.49Min: 176.9 / Avg: 232.44 / Max: 289.051. P-State powersave: Approximate power consumption of 223 Joules per run.2. P-State performance: Approximate power consumption of 347 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 259 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 372 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.3CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1122334455Min: 30 / Avg: 31.27 / Max: 33Min: 46 / Avg: 47.87 / Max: 53Min: 36 / Avg: 38.5 / Max: 43Min: 47 / Avg: 48.63 / Max: 55

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance70140210280350SE +/- 1.49, N = 8SE +/- 0.58, N = 10SE +/- 1.34, N = 15SE +/- 1.23, N = 10168.38305.77193.80309.131. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.32870.65740.98611.31481.64351.4611.1981.4491.216
OpenBenchmarking.orgMegahertz, More Is BetterSVT-HEVC 1.5.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 1598.71 / Max: 2308Min: 3403 / Avg: 3403 / Max: 3403Min: 1429 / Avg: 2449.63 / Max: 3400Min: 3400 / Avg: 3402.94 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance60120180240300Min: 54.68 / Avg: 115.24 / Max: 180.84Min: 193.87 / Avg: 255.26 / Max: 332.27Min: 68.57 / Avg: 133.74 / Max: 182.86Min: 175.6 / Avg: 254.14 / Max: 330.541. P-State powersave: Approximate power consumption of 245 Joules per run.2. P-State performance: Approximate power consumption of 383 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 267 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 407 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-HEVC 1.5.0CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1224364860Min: 33 / Avg: 36.76 / Max: 40Min: 49 / Avg: 51.33 / Max: 58Min: 39 / Avg: 43.2 / Max: 48Min: 50 / Avg: 53.13 / Max: 60

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance306090120150SE +/- 0.00, N = 8SE +/- 1.64, N = 15SE +/- 0.00, N = 8SE +/- 1.26, N = 15111.11114.81111.11112.96MIN: 22.22MIN: 24.39 / MAX: 125MIN: 22.73MIN: 26.32 / MAX: 125
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.12850.2570.38550.5140.64250.5710.3650.5700.370
OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 1985.87 / Max: 2628Min: 2968 / Avg: 3362.88 / Max: 3404Min: 1019 / Avg: 2269 / Max: 3267Min: 2209 / Avg: 3320.92 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance80160240320400Min: 69.63 / Avg: 194.75 / Max: 334.63Min: 174.59 / Avg: 314.35 / Max: 422.61Min: 70.06 / Avg: 194.93 / Max: 328.65Min: 154.41 / Avg: 305.65 / Max: 423.571. P-State powersave: Approximate power consumption of 365 Joules per run.2. P-State performance: Approximate power consumption of 503 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 390 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 489 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 41 / Avg: 45.6 / Max: 54Min: 46 / Avg: 54 / Max: 64Min: 43 / Avg: 47.69 / Max: 57Min: 45 / Avg: 54.08 / Max: 65

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20K40K60K80K100KSE +/- 842.11, N = 7SE +/- 83.85, N = 7SE +/- 807.72, N = 7SE +/- 63.65, N = 790989.73100543.7291970.99100763.111. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance60120180240300296.44285.10280.10293.75
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2498.72 / Max: 3300Min: 3202 / Avg: 3359.25 / Max: 3403Min: 2176 / Avg: 3223.33 / Max: 3405Min: 2294 / Avg: 3298 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 75.97 / Avg: 306.94 / Max: 553.32Min: 172.63 / Avg: 352.67 / Max: 574.12Min: 116.16 / Avg: 328.36 / Max: 543.36Min: 177.42 / Avg: 343.03 / Max: 548.151. P-State powersave: Approximate power consumption of 789 Joules per run.2. P-State performance: Approximate power consumption of 806 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 844 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 735 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 48 / Avg: 55.28 / Max: 63Min: 57 / Avg: 62.88 / Max: 70Min: 49 / Avg: 56.5 / Max: 67Min: 55 / Avg: 61.2 / Max: 68

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance9K18K27K36K45KSE +/- 83.38, N = 7SE +/- 113.89, N = 8SE +/- 42.28, N = 8SE +/- 69.22, N = 839485.7240261.2639430.6640226.021. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance306090120150137.13116.28128.90117.69
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2440.12 / Max: 3304Min: 3200 / Avg: 3370.82 / Max: 3404Min: 2301 / Avg: 3185.33 / Max: 3404Min: 3202 / Avg: 3342 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 56.47 / Avg: 287.95 / Max: 551.82Min: 178.85 / Avg: 346.23 / Max: 549.42Min: 70.73 / Avg: 305.91 / Max: 510.9Min: 182.43 / Avg: 341.8 / Max: 554.41. P-State powersave: Approximate power consumption of 699 Joules per run.2. P-State performance: Approximate power consumption of 736 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 688 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 684 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 41 / Avg: 49.65 / Max: 61Min: 48 / Avg: 57.82 / Max: 67Min: 43 / Avg: 51.89 / Max: 62Min: 52 / Avg: 57.13 / Max: 64

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance306090120150SE +/- 0.00, N = 9SE +/- 0.00, N = 9125.00142.86125.00142.86MIN: 30.3 / MAX: 142.86MIN: 31.25MIN: 29.41 / MAX: 142.86MIN: 31.25
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.13750.2750.41250.550.68750.6110.5200.5280.513
OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2012.33 / Max: 3400Min: 3400 / Avg: 3402.88 / Max: 3408Min: 2207 / Avg: 3053 / Max: 3404Min: 2640 / Avg: 3316.44 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance70140210280350Min: 92.39 / Avg: 204.52 / Max: 351.88Min: 153.51 / Avg: 274.6 / Max: 384.69Min: 95.14 / Avg: 236.57 / Max: 358.95Min: 155.77 / Avg: 278.28 / Max: 386.141. P-State performance: Approximate power consumption of 488 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 495 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 51 / Avg: 54.8 / Max: 67Min: 55 / Avg: 59.63 / Max: 70Min: 53 / Avg: 57.6 / Max: 69Min: 56 / Avg: 60.25 / Max: 71

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance30K60K90K120K150KSE +/- 480.22, N = 8SE +/- 134.33, N = 9SE +/- 203.66, N = 8SE +/- 133.35, N = 9114946.46123544.09115501.41123176.721. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500458.43369.71441.37372.37
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 802 / Avg: 2584.06 / Max: 3301Min: 3101 / Avg: 3385.89 / Max: 3404Min: 2299 / Avg: 3185.56 / Max: 3403Min: 3401 / Avg: 3402.5 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance80160240320400Min: 104.74 / Avg: 250.74 / Max: 444.07Min: 151.72 / Avg: 334.16 / Max: 435.14Min: 103.8 / Avg: 261.69 / Max: 454.31Min: 195.97 / Avg: 330.79 / Max: 403.951. P-State powersave: Approximate power consumption of 501 Joules per run.2. P-State performance: Approximate power consumption of 668 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 523 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 662 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 49 / Avg: 52.19 / Max: 59Min: 55 / Avg: 62.22 / Max: 70Min: 50 / Avg: 52.69 / Max: 55Min: 55 / Avg: 61.83 / Max: 69

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance17003400510068008500SE +/- 109.82, N = 12SE +/- 165.19, N = 15SE +/- 121.94, N = 15SE +/- 128.21, N = 156051.907610.186157.587705.441. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance102030405042.6227.7031.0428.91
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 1875.67 / Max: 3000Min: 3110 / Avg: 3381.08 / Max: 3410Min: 1971 / Avg: 2875.93 / Max: 3404Min: 3400 / Avg: 3402.61 / Max: 3409
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance70140210280350Min: 68.72 / Avg: 141.99 / Max: 325.63Min: 166.22 / Avg: 274.74 / Max: 393.59Min: 102.97 / Avg: 198.35 / Max: 382.36Min: 175 / Avg: 266.53 / Max: 346.891. P-State powersave: Approximate power consumption of 284 Joules per run.2. P-State performance: Approximate power consumption of 440 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 383 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 409 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 39 / Avg: 44.96 / Max: 53Min: 53 / Avg: 56.04 / Max: 67Min: 41 / Avg: 46.59 / Max: 55Min: 52 / Avg: 54.96 / Max: 67

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance120240360480600SE +/- 1.12, N = 9SE +/- 0.97, N = 11SE +/- 3.58, N = 15SE +/- 1.99, N = 11258.65576.99345.48574.881. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.66111.32221.98332.64443.30552.6382.5412.9382.517
OpenBenchmarking.orgMegahertz, More Is BetterSVT-HEVC 1.5.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 1921.94 / Max: 2302Min: 3400 / Avg: 3403 / Max: 3405Min: 2300 / Avg: 2696.84 / Max: 3403Min: 3400 / Avg: 3402.93 / Max: 3404
OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance50100150200250Min: 53.58 / Avg: 98.05 / Max: 138.33Min: 149.55 / Avg: 227.03 / Max: 275.25Min: 56.93 / Avg: 117.6 / Max: 166.9Min: 161.48 / Avg: 228.4 / Max: 274.531. P-State powersave: Approximate power consumption of 174 Joules per run.2. P-State performance: Approximate power consumption of 310 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 196 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 311 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-HEVC 1.5.0CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1224364860Min: 31 / Avg: 33.13 / Max: 36Min: 47 / Avg: 48.93 / Max: 57Min: 37 / Avg: 39 / Max: 44Min: 48 / Avg: 50.27 / Max: 60

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance30K60K90K120K150KSE +/- 333.81, N = 10SE +/- 89.79, N = 10SE +/- 233.06, N = 10SE +/- 209.39, N = 10116754.16120084.27117869.49120124.051. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance150300450600750680.15412.87540.22427.24
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 1940.6 / Max: 3057Min: 3400 / Avg: 3402.44 / Max: 3404Min: 2300 / Avg: 3085.17 / Max: 3404Min: 3348 / Avg: 3399.13 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance80160240320400Min: 95.52 / Avg: 171.66 / Max: 333.09Min: 151.11 / Avg: 290.85 / Max: 431.51Min: 78.83 / Avg: 218.19 / Max: 471.02Min: 188.28 / Avg: 281.17 / Max: 385.221. P-State powersave: Approximate power consumption of 343 Joules per run.2. P-State performance: Approximate power consumption of 465 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 393 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 450 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265Min: 44 / Avg: 50.1 / Max: 59Min: 50 / Avg: 52.88 / Max: 60Min: 46 / Avg: 51.72 / Max: 61Min: 54 / Avg: 57.38 / Max: 64

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 28 / Avg: 58.72 / Max: 79Min: 36 / Avg: 62.03 / Max: 80Min: 28 / Avg: 59.65 / Max: 78Min: 36 / Avg: 63.47 / Max: 78

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance130260390520650Min: 53.58 / Avg: 371.79 / Max: 722.02Min: 70.83 / Avg: 413.76 / Max: 639.8Min: 53.9 / Avg: 368.68 / Max: 634.98Min: 137.84 / Avg: 417.23 / Max: 641.13

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2883.69 / Max: 3537Min: 2195 / Avg: 3186.64 / Max: 3518Min: 801 / Avg: 3003.21 / Max: 3442Min: 2162 / Avg: 3195.19 / Max: 3483

Geometric Mean Of All Test Results

OpenBenchmarking.orgGeometric Mean, More Is BetterGeometric Mean Of All Test ResultsResult Composite - Xeon Scalable Ice Lake P-State GovernorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance50100150200250177.93225.06190.19226.10

104 Results Shown

WRF
Quantum ESPRESSO
OpenVKL
NWChem
OpenVKL
ONNX Runtime
PostgreSQL pgbench:
  1000 - 250 - Read Only - Average Latency
  1000 - 250 - Read Only
Darmstadt Automotive Parallel Heterogeneous Suite
ONNX Runtime
RELION
AOM AV1
Xcompact3d Incompact3d
LAMMPS Molecular Dynamics Simulator
Rodinia
ONNX Runtime
PostgreSQL pgbench:
  1000 - 100 - Read Only - Average Latency
  1000 - 100 - Read Only
OpenVKL
PJSIP
Timed LLVM Compilation
High Performance Conjugate Gradient
OpenFOAM
Zstd Compression:
  19 - Decompression Speed
  19 - Compression Speed
Timed LLVM Compilation
ONNX Runtime:
  fcn-resnet101-11 - OpenMP CPU
  yolov4 - OpenMP CPU
Blender
TensorFlow Lite
Rodinia
PostgreSQL pgbench:
  1000 - 250 - Read Write - Average Latency
  1000 - 250 - Read Write
  1000 - 100 - Read Write - Average Latency
  1000 - 100 - Read Write
Zstd Compression:
  19, Long Mode - Decompression Speed
  19, Long Mode - Compression Speed
Timed Node.js Compilation
PJSIP
Darmstadt Automotive Parallel Heterogeneous Suite
Timed Linux Kernel Compilation
Darmstadt Automotive Parallel Heterogeneous Suite
Blender
libavif avifenc
PJSIP
AOM AV1
TensorFlow Lite:
  Inception ResNet V2
  Inception V4
OpenFOAM
Timed Godot Game Engine Compilation
AOM AV1
OpenVKL
Stockfish
OSPray
Rodinia
Zstd Compression
Kvazaar
Liquid-DSP
Kvazaar
NAS Parallel Benchmarks
GROMACS
Blender
libavif avifenc
AOM AV1
Intel Open Image Denoise
Rodinia
OSPray:
  San Miguel - SciVis
  XFrog Forest - Path Tracer
SVT-AV1
NAMD
Intel Open Image Denoise
Embree
NAS Parallel Benchmarks
OSPray
Liquid-DSP:
  160 - 256 - 57
  128 - 256 - 57
ArrayFire
NAS Parallel Benchmarks:
  SP.C
  IS.D
ArrayFire
libavif avifenc
Timed Mesa Compilation
Intel Open Image Denoise
OSPray
Embree
NAS Parallel Benchmarks
Xcompact3d Incompact3d
Rodinia
SVT-VP9
Embree
SVT-VP9
SVT-HEVC
OSPray
NAS Parallel Benchmarks:
  FT.C
  CG.C
OSPray
NAS Parallel Benchmarks:
  SP.B
  EP.C
SVT-HEVC
NAS Parallel Benchmarks
CPU Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Watts
    Megahertz
  Result Composite - Xeon Scalable Ice Lake P-State Governor:
    Geometric Mean

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

Testing initiated at 23 May 2021 12:11 by user root.

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

Testing initiated at 24 May 2021 05:21 by user root.

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

Testing initiated at 24 May 2021 17:18 by user root.

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

Testing initiated at 25 May 2021 09:25 by user root.