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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  Test
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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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  14 Hours, 8 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 Incompact3dRELIONNAMDNWChemWRF

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 Governorcompress-zstd: 8, Long Mode - Compression Speedkvazaar: Bosphorus 4K - Very Fastaom-av1: Speed 6 Realtime - Bosphorus 4Kaom-av1: Speed 8 Realtime - Bosphorus 4Kpgbench: 1000 - 250 - Read Write - Average Latencypgbench: 1000 - 250 - Read Writeaom-av1: Speed 9 Realtime - Bosphorus 4Kpjsip: OPTIONS, Statefulpgbench: 1000 - 100 - Read Write - Average Latencypgbench: 1000 - 100 - Read Writekvazaar: Bosphorus 4K - Ultra Fastsvt-hevc: 10 - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080pdaphne: OpenMP - Points2Imagesvt-av1: Preset 8 - Bosphorus 4Ksvt-hevc: 7 - Bosphorus 1080pbuild-godot: Time To Compileopenvkl: vklBenchmarkStructuredVolumeopenvkl: vklBenchmarkVdbVolumeavifenc: 6, Losslessdaphne: OpenMP - Euclidean Clusteropenvkl: vklBenchmarktensorflow-lite: Mobilenet Quantbuild-linux-kernel: Time To Compileospray: NASA Streamlines - SciVisbuild-nodejs: Time To Compileembree: Pathtracer ISPC - Crownnpb: FT.Cospray: San Miguel - SciVisnpb: SP.Bnpb: LU.Ccompress-zstd: 19, Long Mode - Compression Speedqe: AUSURF112compress-zstd: 19 - Compression Speedoidn: RT.hdr_alb_nrm.3840x2160blender: BMW27 - CPU-Onlyembree: Pathtracer ISPC - Asian Dragonbuild-llvm: Unix Makefilesopenfoam: Motorbike 30Mnpb: EP.Dopenvkl: vklBenchmarkUnstructuredVolumenpb: BT.Cospray: Magnetic Reconnection - SciVisblender: Barbershop - CPU-Onlynpb: IS.Dnpb: MG.Ctensorflow-lite: Inception V4build-mesa: Time To Compileembree: Pathtracer ISPC - Asian Dragon Objrodinia: OpenMP CFD Solverpjsip: OPTIONS, Statelessonnx: shufflenet-v2-10 - OpenMP CPUnpb: CG.Coidn: RT.ldr_alb_nrm.3840x2160hpcg: compress-zstd: 19 - Decompression Speedstockfish: Total Timerodinia: OpenMP LavaMDonnx: fcn-resnet101-11 - OpenMP CPUbuild-llvm: Ninjaonnx: yolov4 - OpenMP CPUoidn: RTLightmap.hdr.4096x4096blender: Classroom - CPU-Onlyarrayfire: BLAS CPUrodinia: OpenMP Streamclusterincompact3d: input.i3d 193 Cells Per Directioncompress-zstd: 19, Long Mode - Decompression Speedgromacs: MPI CPU - water_GMX50_barelammps: 20k Atomsopenfoam: Motorbike 60Mliquid-dsp: 160 - 256 - 57liquid-dsp: 128 - 256 - 57ospray: XFrog Forest - Path Tracerospray: San Miguel - Path Tracernamd: ATPase Simulation - 327,506 Atomsnpb: SP.Cnwchem: C240 Buckyballrelion: Basic - CPUrodinia: OpenMP HotSpot3Dtensorflow-lite: Inception ResNet V2wrf: conus 2.5kmincompact3d: X3D-benchmarking input.i3dospray: NASA Streamlines - Path Tracerospray: XFrog Forest - SciVispgbench: 1000 - 250 - Read Only - Average Latencypgbench: 1000 - 250 - Read Onlypgbench: 1000 - 100 - Read Only - Average Latencypgbench: 1000 - 100 - Read Onlyliquid-dsp: 64 - 256 - 57pjsip: INVITEavifenc: 10, Losslessavifenc: 10aom-av1: Speed 6 Two-Pass - Bosphorus 4Krodinia: OpenMP Leukocytedaphne: OpenMP - NDT Mappingonnx: bertsquad-10 - OpenMP CPUonnx: super-resolution-10 - OpenMP CPUarrayfire: Conjugate Gradient CPUnpb: EP.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance296.013.267.3817.0710.7232341123.5937694.2832338323.03258.65206.54210.926634.5830.546168.3875.612719744382172232637.469831.3367041126.824.881125102.19766.525190989.7390.91114946.46174911.0246.71106.6982.72.8529.72106.6219199.39814.928620.971757269191166.41111.11107.732999.72116754.1668215318.98387.20924.82741421821239485.722.8740.13592563.217703112239.815196129.2724801.3872.174538.697.71011.19165662711.68.99935.495105.033073933333327013333310.3810.420.2709391313.601882.3350.266104.3395720659892.42290.41110227.7818.870.2779064340.256393329302990000025488.8335.2053.9469.049742.3050968984.2926051.901011.938.2119.0948.623.7746649361.06103621.5886304946.31576.99453.67460.4413527.23899643056.887305.7748.1571060564582999653930.3451020.7781133656.321.486142.8690.85074.0551100543.72100123544.09187300.4749.11178.5286.72.9328.40107.6307190.68514.798920.101803840197815.31114.81105.103014.77120084.2766370718.49789.08954.74642389839240261.262.9340.64712561.817713142839.423194127.3214831.4071.274539.997.81611.05545092677.99.05235.825104.763085100000329300000010.3110.450.2716891817.761888.2349.993104.1855721499885.556290.14333127.7818.870.2719241900.0811236713306613333353937.2484.3419.6946.358924.8447766266.1317610.18311.711.305.8615.903.8146572621.7237972.7403657720.53345.48260.25262.787077.7635.480193.8053.001779976282359924931.987884.7571835239.022.19012591.85767.754091970.9990.91115501.41177878.6846.11156.4981.52.7829.25102.7043191.17315.078634.301748017191705.02111.11107.392926.26117869.4967225418.75487.99274.71041743833439430.662.8840.06592594.717544618239.199194127.6884831.3872.244510.297.71211.20541792693.49.04235.792105.103082533333329146666710.3110.380.2722791642.331880349.436104.1845716329889.907290.41669727.7818.870.2858853790.0811228570300312500025408.4865.1344.0063.286743.0150467566.4546157.581015.838.2619.2048.913.7916618661.27104091.5946282646.34574.88457.02464.7113249.67869587556.750309.1348.6511067046413001631830.0141021.6282133581.321.410142.8691.08174.2420100763.11100123176.72186973.0648.31175.6983.12.9328.28106.1736191.80114.498938.091809667197821.88112.96104.512978.52120124.0567742118.51789.49054.72942338838040226.022.9340.83112609.717862947439.746197127.3324761.4071.224574.837.72711.05617482713.19.10235.849104.273096700000329340000010.3110.420.2705191830.561882.2349.028104.0885726799875.264289.97558627.7818.870.2888764620.0811231983307260000054167.2764.34010.0147.105914.7050369554.0057705.44OpenBenchmarking.org

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 performanceintel_cpufreq schedutilP-State powersave2004006008001000SE +/- 5.29, N = 3SE +/- 4.09, N = 3SE +/- 2.96, N = 3SE +/- 0.62, N = 31018.61011.9311.7296.01. (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 Fastintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil918273645SE +/- 0.07, N = 4SE +/- 0.07, N = 4SE +/- 0.04, N = 3SE +/- 0.02, N = 338.2638.2113.2611.301. (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 Fastintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil0.02250.0450.06750.090.11250.1000.0980.0950.084
MinAvgMaxP-State performance318733273403intel_cpufreq performance220632663403P-State powersave80121632304intel_cpufreq schedutil110420653400OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq schedutil70.9134.1148.8P-State powersave67.1139.8156.9intel_cpufreq performance169.5382.7492.0P-State performance211.4388.5491.7OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption Monitor130260390520650
MinAvgMaxP-State powersave38.040.643.0intel_cpufreq schedutil38.040.943.0intel_cpufreq performance46.058.266.0P-State performance48.058.665.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100

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 4Kintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil510152025SE +/- 0.23, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 319.2019.097.385.861. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4Kintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil0.01510.03020.04530.06040.07550.0670.0670.0650.052
MinAvgMaxintel_cpufreq performance340334043422P-State performance340034033404P-State powersave80121302305intel_cpufreq schedutil100117883403OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq schedutil60.7111.7120.3P-State powersave54.3114.4126.6P-State performance148.8283.3319.8intel_cpufreq performance153.7285.8321.6OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor80160240320400
MinAvgMaxP-State powersave30.032.834.0intel_cpufreq schedutil34.036.538.0P-State performance43.044.846.0intel_cpufreq performance45.048.756.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature Monitor1632486480

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.1Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4Kintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil1122334455SE +/- 0.52, N = 4SE +/- 0.30, N = 4SE +/- 0.02, N = 3SE +/- 0.03, N = 348.9148.6217.0715.901. (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 4Kintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil0.04280.08560.12840.17120.2140.1900.1900.1630.151
MinAvgMaxP-State performance340334043407intel_cpufreq performance340034033404P-State powersave80117942287intel_cpufreq schedutil81013723202OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave67.7104.9115.9intel_cpufreq schedutil67.0105.1114.8P-State performance186.2255.5299.2intel_cpufreq performance181.7257.1310.9OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor80160240320400
MinAvgMaxP-State powersave29.031.232.0intel_cpufreq schedutil34.035.937.0P-State performance44.044.345.0intel_cpufreq performance45.045.747.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature Monitor1428425670

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 performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave3691215SE +/- 0.023, N = 3SE +/- 0.023, N = 3SE +/- 0.017, N = 3SE +/- 0.071, N = 33.7743.7913.81410.7231. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxP-State performance300033603410intel_cpufreq performance218533503409intel_cpufreq schedutil182733023407P-State powersave80127923405OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave56.0170.9220.2intel_cpufreq schedutil60.8227.0477.6P-State performance152.8240.5481.6intel_cpufreq performance151.9243.7478.4OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor120240360480600
MinAvgMaxP-State powersave39.043.247.0P-State performance45.047.356.0intel_cpufreq schedutil42.047.357.0intel_cpufreq performance50.052.862.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read WriteP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave14K28K42K56K70KSE +/- 391.43, N = 3SE +/- 405.25, N = 3SE +/- 301.39, N = 3SE +/- 156.62, N = 3664936618665726234111. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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 4Kintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil1428425670SE +/- 0.43, N = 5SE +/- 0.27, N = 5SE +/- 0.22, N = 3SE +/- 0.16, N = 1561.2761.0623.5921.721. (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 4Kintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil0.0560.1120.1680.2240.280.2490.2450.2250.208
MinAvgMaxP-State performance340334033404intel_cpufreq performance340034033404P-State powersave80118332301intel_cpufreq schedutil80115282303OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq schedutil62.7104.3119.1P-State powersave53.6105.0116.9intel_cpufreq performance148.3246.5288.9P-State performance190.4249.4290.0OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor70140210280350
MinAvgMaxP-State powersave29.030.331.0intel_cpufreq schedutil35.036.638.0P-State performance45.045.246.0intel_cpufreq performance46.047.153.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature Monitor1530456075

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, Statefulintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave2K4K6K8K10KSE +/- 6.00, N = 3SE +/- 0.58, N = 3SE +/- 13.93, N = 3SE +/- 31.56, N = 31040910362379737691. (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 performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave102030405045.8745.1238.2338.12
MinAvgMaxintel_cpufreq performance340034073483P-State performance340334053428intel_cpufreq schedutil80215102300P-State powersave8018582300OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave62.598.9107.7intel_cpufreq schedutil63.599.3109.9P-State performance185.9225.9244.3intel_cpufreq performance167.0230.7260.3OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption Monitor70140210280350
MinAvgMaxP-State powersave33.034.536.0intel_cpufreq schedutil35.036.538.0P-State performance44.044.345.0intel_cpufreq performance47.051.353.0OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature Monitor1530456075

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 Write - Average LatencyP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave0.96371.92742.89113.85484.8185SE +/- 0.007, N = 3SE +/- 0.004, N = 3SE +/- 0.035, N = 3SE +/- 0.009, N = 31.5881.5942.7404.2831. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxintel_cpufreq performance300033673431P-State performance300033613413intel_cpufreq schedutil141230643405P-State powersave80127593405OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave69.8175.7221.6intel_cpufreq schedutil55.9187.1309.9P-State performance154.0236.4436.7intel_cpufreq performance150.2238.2441.8OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor120240360480600
MinAvgMaxintel_cpufreq schedutil39.044.750.0P-State powersave41.046.652.0P-State performance44.049.057.0intel_cpufreq performance48.051.358.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor1632486480

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read WriteP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave14K28K42K56K70KSE +/- 272.63, N = 3SE +/- 148.39, N = 3SE +/- 464.84, N = 3SE +/- 51.95, N = 3630496282636577233831. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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 Fastintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil1122334455SE +/- 0.56, N = 4SE +/- 0.31, N = 15SE +/- 0.14, N = 3SE +/- 0.06, N = 346.3446.3123.0320.531. (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 powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance0.03890.07780.11670.15560.19450.1730.1550.1380.135
MinAvgMaxP-State performance311732983403intel_cpufreq performance310132943404intel_cpufreq schedutil114122222303P-State powersave80121752300OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq schedutil55.9132.0150.2P-State powersave57.1133.2155.1intel_cpufreq performance191.2335.5439.8P-State performance183.3343.8438.5OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption Monitor120240360480600
MinAvgMaxP-State powersave36.038.339.0intel_cpufreq schedutil37.038.739.0intel_cpufreq performance54.060.663.0P-State performance54.060.765.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100

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 performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave120240360480600SE +/- 0.97, N = 11SE +/- 1.99, N = 11SE +/- 3.58, N = 15SE +/- 1.12, N = 9576.99574.88345.48258.651. (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 1080pintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance0.66111.32221.98332.64443.30552.9382.6382.5412.517
MinAvgMaxP-State performance340034033405intel_cpufreq performance340034033404intel_cpufreq schedutil230026973403P-State powersave80119222302OpenBenchmarking.orgMegahertz, More Is BetterSVT-HEVC 1.5.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave53.698.1138.3intel_cpufreq schedutil56.9117.6166.9P-State performance149.6227.0275.3intel_cpufreq performance161.5228.4274.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor70140210280350
MinAvgMaxP-State powersave31.033.136.0intel_cpufreq schedutil37.039.044.0P-State performance47.048.957.0intel_cpufreq performance48.050.360.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-HEVC 1.5.0CPU Temperature Monitor1632486480

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 1080pintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave100200300400500SE +/- 3.11, N = 13SE +/- 4.77, N = 15SE +/- 2.47, N = 15SE +/- 1.53, N = 7457.02453.67260.25206.541. (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 1080pintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance0.46710.93421.40131.86842.33552.0761.9391.9221.919
MinAvgMaxintel_cpufreq performance340034033405P-State performance340334033405intel_cpufreq schedutil80124303396P-State powersave80117142305OpenBenchmarking.orgMegahertz, More Is BetterSVT-VP9 0.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave53.7106.5160.7intel_cpufreq schedutil64.8125.4194.5P-State performance171.6236.0292.6intel_cpufreq performance158.6238.2290.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor70140210280350
MinAvgMaxP-State powersave30.032.136.0intel_cpufreq schedutil36.039.343.0P-State performance46.048.055.0intel_cpufreq performance47.049.055.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.3CPU Temperature Monitor1530456075

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave100200300400500SE +/- 2.50, N = 10SE +/- 2.03, N = 10SE +/- 2.52, N = 15SE +/- 1.16, N = 7464.71460.44262.78210.921. (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 1080pintel_cpufreq schedutilP-State powersaveintel_cpufreq performanceP-State performance0.45720.91441.37161.82882.2862.0322.0291.9991.992
MinAvgMaxintel_cpufreq performance340334033405P-State performance340334033404intel_cpufreq schedutil230025563404P-State powersave80118002300OpenBenchmarking.orgMegahertz, More Is BetterSVT-VP9 0.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave53.7104.0158.2intel_cpufreq schedutil61.7129.3201.5P-State performance152.0231.2283.3intel_cpufreq performance176.9232.4289.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor70140210280350
MinAvgMaxP-State powersave30.031.333.0intel_cpufreq schedutil36.038.543.0P-State performance46.047.953.0intel_cpufreq performance47.048.655.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.3CPU Temperature Monitor1530456075

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 performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave3K6K9K12K15KSE +/- 114.27, N = 15SE +/- 100.42, N = 15SE +/- 115.67, N = 12SE +/- 86.30, N = 313527.2413249.687077.766634.581. (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 performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave122436486051.3650.2945.6742.62
MinAvgMaxP-State performance340034033410intel_cpufreq performance340134033407P-State powersave80226203390intel_cpufreq schedutil87126123399OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq schedutil60.9155.0248.1P-State powersave80.0155.7242.9P-State performance160.0263.4291.5intel_cpufreq performance154.1263.4299.3OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor80160240320400
MinAvgMaxP-State powersave35.037.542.0intel_cpufreq schedutil37.041.747.0P-State performance46.051.954.0intel_cpufreq performance48.054.163.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature Monitor20406080100

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 performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave1326395265SE +/- 0.24, N = 4SE +/- 0.31, N = 4SE +/- 0.47, N = 3SE +/- 0.20, N = 356.8956.7535.4830.551. (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 performanceintel_cpufreq schedutil0.04390.08780.13170.17560.21950.1950.1860.1850.183
MinAvgMaxP-State performance340034033408intel_cpufreq performance340034033406intel_cpufreq schedutil230027423405P-State powersave80121692307OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 0.8.7CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave56.4156.5236.6intel_cpufreq schedutil74.6193.4332.0P-State performance185.5305.7490.5intel_cpufreq performance162.8306.0496.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption Monitor130260390520650
MinAvgMaxP-State powersave39.042.447.0intel_cpufreq schedutil44.048.353.0P-State performance48.053.263.0intel_cpufreq performance47.053.864.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8.7CPU Temperature Monitor20406080100

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 1080pintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave70140210280350SE +/- 1.23, N = 10SE +/- 0.58, N = 10SE +/- 1.34, N = 15SE +/- 1.49, N = 8309.13305.77193.80168.381. (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 powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance0.32870.65740.98611.31481.64351.4611.4491.2161.198
MinAvgMaxintel_cpufreq performance340034033405intel_cpufreq schedutil142924503400P-State powersave80115992308OpenBenchmarking.orgMegahertz, More Is BetterSVT-HEVC 1.5.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave54.7115.2180.8intel_cpufreq schedutil68.6133.7182.9intel_cpufreq performance175.6254.1330.5P-State performance193.9255.3332.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor80160240320400
MinAvgMaxP-State powersave33.036.840.0intel_cpufreq schedutil39.043.248.0P-State performance49.051.358.0intel_cpufreq performance50.053.160.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-HEVC 1.5.0CPU Temperature Monitor1632486480

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 performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave20406080100SE +/- 0.18, N = 3SE +/- 0.28, N = 3SE +/- 0.49, N = 3SE +/- 0.95, N = 348.1648.6553.0075.61
MinAvgMaxintel_cpufreq performance300333743409P-State performance310033683410intel_cpufreq schedutil98732463407P-State powersave80229353406OpenBenchmarking.orgMegahertz, More Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave75.2239.0575.6intel_cpufreq schedutil67.5304.2563.4P-State performance179.1342.3599.5intel_cpufreq performance160.0344.2580.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave33.044.363.0intel_cpufreq schedutil32.053.668.0P-State performance44.054.967.0intel_cpufreq performance49.057.070.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Temperature Monitor20406080100

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: vklBenchmarkStructuredVolumeintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave20M40M60M80M100MSE +/- 497134.18, N = 3SE +/- 57856.16, N = 3SE +/- 444572.22, N = 3SE +/- 799905.44, N = 41067046411060564587799762871974438MIN: 1343151 / MAX: 909146052MIN: 1396156 / MAX: 908416224MIN: 1380198 / MAX: 693620172MIN: 1304623 / MAX: 672770484
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolumeP-State performanceintel_cpufreq performanceP-State powersaveintel_cpufreq schedutil90K180K270K360K450K438562.32436355.85424481.55418290.31
MinAvgMaxintel_cpufreq performance340034053410P-State performance340334033408intel_cpufreq schedutil143030763408P-State powersave80128663407OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave70.7169.6254.7intel_cpufreq schedutil69.4186.5255.9P-State performance150.8241.8326.7intel_cpufreq performance171.6244.5315.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor80160240320400
MinAvgMaxP-State powersave38.042.952.0intel_cpufreq schedutil41.044.955.0P-State performance47.049.859.0intel_cpufreq performance50.052.667.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave6M12M18M24M30MSE +/- 349026.46, N = 15SE +/- 268896.33, N = 15SE +/- 38895.86, N = 3SE +/- 47580.68, N = 330016318299965392359924921722326MIN: 979586 / MAX: 253907928MIN: 979600 / MAX: 247803840MIN: 1060641 / MAX: 156949416MIN: 1031810 / MAX: 151043112
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil30K60K90K120K150K126322.91125723.06123147.50118699.08
MinAvgMaxP-State performance340234043411intel_cpufreq performance340034043410intel_cpufreq schedutil170232413405P-State powersave80129933400OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave70.7176.4222.9intel_cpufreq schedutil71.3198.8249.7intel_cpufreq performance160.5237.6341.6P-State performance147.7238.6361.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor100200300400500
MinAvgMaxintel_cpufreq performance45.046.958.0P-State powersave43.047.655.0intel_cpufreq schedutil42.048.156.0P-State performance46.050.562.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100

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, Losslessintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave918273645SE +/- 0.20, N = 3SE +/- 0.22, N = 3SE +/- 0.41, N = 3SE +/- 0.28, N = 1530.0130.3531.9937.471. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxP-State performance340334063442intel_cpufreq performance340334053410intel_cpufreq schedutil142132853409P-State powersave80132103409OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave68.2268.1414.9intel_cpufreq schedutil68.2281.5459.7P-State performance151.5312.4462.5intel_cpufreq performance166.8314.9476.7OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor120240360480600
MinAvgMaxP-State performance51.053.858.0P-State powersave35.054.171.0intel_cpufreq schedutil35.055.169.0intel_cpufreq performance55.061.973.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor20406080100

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 Clusterintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave2004006008001000SE +/- 1.25, N = 3SE +/- 2.39, N = 3SE +/- 9.84, N = 15SE +/- 7.84, N = 151021.621020.77884.75831.331. (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 powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance1.02352.0473.07054.0945.11754.5494.4913.8163.778
MinAvgMaxP-State performance340334033406intel_cpufreq performance340334033404intel_cpufreq schedutil139129723405P-State powersave80128753406OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave62.2182.8261.7intel_cpufreq schedutil75.6197.0300.8intel_cpufreq performance209.8267.7311.3P-State performance211.6270.2317.9OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor80160240320400
MinAvgMaxP-State powersave37.041.447.0intel_cpufreq schedutil41.046.450.0P-State performance47.049.352.0intel_cpufreq performance47.049.952.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature Monitor1530456075

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: vklBenchmarkintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave2004006008001000SE +/- 2.40, N = 3SE +/- 2.67, N = 3SE +/- 8.72, N = 3SE +/- 2.19, N = 3821811718670MIN: 1 / MAX: 3226MIN: 1 / MAX: 3166MIN: 1 / MAX: 3134MIN: 1 / MAX: 2830
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkintel_cpufreq schedutilP-State powersaveintel_cpufreq performanceP-State performance0.82241.64482.46723.28964.1123.6553.5362.9142.896
MinAvgMaxintel_cpufreq performance300233883424P-State performance300233793428P-State powersave80127643436intel_cpufreq schedutil80127083426OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave66.8189.5352.9intel_cpufreq schedutil72.2196.4369.2P-State performance176.7280.1541.6intel_cpufreq performance177.1281.8555.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor140280420560700
MinAvgMaxP-State powersave38.043.556.0intel_cpufreq schedutil42.047.961.0P-State performance48.054.265.0intel_cpufreq performance51.056.669.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100

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 Quantintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave9K18K27K36K45KSE +/- 61.65, N = 3SE +/- 117.93, N = 3SE +/- 352.77, N = 3SE +/- 711.79, N = 1233581.333656.335239.041126.8
MinAvgMaxintel_cpufreq performance300030503404intel_cpufreq schedutil300030333403P-State performance300030313403P-State powersave80129563103OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq schedutil190.6514.3606.9intel_cpufreq performance149.4516.0608.7P-State powersave131.0517.4615.0P-State performance202.3520.5620.3OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor160320480640800
MinAvgMaxintel_cpufreq schedutil51.067.471.0P-State powersave50.068.372.0intel_cpufreq performance50.068.873.0P-State performance55.069.173.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100

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 Compileintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave612182430SE +/- 0.19, N = 7SE +/- 0.24, N = 5SE +/- 0.19, N = 14SE +/- 0.38, N = 1521.4121.4922.1924.88
MinAvgMaxP-State performance277132903409intel_cpufreq performance287032693408intel_cpufreq schedutil230132603408P-State powersave80124553405OpenBenchmarking.orgMegahertz, More Is BetterTimed Linux Kernel Compilation 5.10.20CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave59255630intel_cpufreq schedutil81319635P-State performance167337635intel_cpufreq performance180338641OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20CPU Power Consumption Monitor2004006008001000
MinAvgMaxP-State powersave40.051.966.0P-State performance50.057.668.0intel_cpufreq schedutil45.057.970.0intel_cpufreq performance51.059.269.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20CPU Temperature Monitor20406080100

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: SciVisintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave306090120150SE +/- 0.00, N = 9SE +/- 0.00, N = 9142.86142.86125.00125.00MIN: 31.25MIN: 31.25MIN: 29.41 / MAX: 142.86MIN: 30.3 / MAX: 142.86
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance0.13750.2750.41250.550.68750.6110.5280.5200.513
MinAvgMaxP-State performance340034033408intel_cpufreq performance264033163405intel_cpufreq schedutil220730533404P-State powersave80120123400OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave92.4204.5351.9intel_cpufreq schedutil95.1236.6359.0P-State performance153.5274.6384.7intel_cpufreq performance155.8278.3386.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor100200300400500
MinAvgMaxP-State powersave51.054.867.0intel_cpufreq schedutil53.057.669.0P-State performance55.059.670.0intel_cpufreq performance56.060.371.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

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 performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave20406080100SE +/- 0.15, N = 3SE +/- 0.49, N = 3SE +/- 0.27, N = 3SE +/- 0.59, N = 390.8591.0891.86102.20
MinAvgMaxP-State performance280631503408intel_cpufreq performance278031473406intel_cpufreq schedutil220031313408P-State powersave80129473408OpenBenchmarking.orgMegahertz, More Is BetterTimed Node.js Compilation 15.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave75367608intel_cpufreq schedutil131414632P-State performance153427615intel_cpufreq performance191428625OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 15.11CPU Power Consumption Monitor2004006008001000
MinAvgMaxP-State powersave44.061.075.0intel_cpufreq schedutil49.064.775.0intel_cpufreq performance54.065.575.0P-State performance52.066.276.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Node.js Compilation 15.11CPU Temperature Monitor20406080100

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: Crownintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave1632486480SE +/- 0.34, N = 5SE +/- 0.18, N = 5SE +/- 0.18, N = 5SE +/- 0.21, N = 574.2474.0667.7566.53MIN: 64.44 / MAX: 93.9MIN: 64.5 / MAX: 94.28MIN: 60.74 / MAX: 88.34MIN: 59.75 / MAX: 87.7
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Crownintel_cpufreq schedutilP-State performanceP-State powersaveintel_cpufreq performance0.04480.08960.13440.17920.2240.1990.1850.1830.181
MinAvgMaxintel_cpufreq performance272330983409P-State performance268530943404intel_cpufreq schedutil180026593400P-State powersave80123842984OpenBenchmarking.orgMegahertz, More Is BetterEmbree 3.13CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq schedutil121.3340.0510.0P-State powersave109.8362.7513.8P-State performance198.9399.5489.3intel_cpufreq performance191.2410.3575.3OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor140280420560700
MinAvgMaxP-State powersave50.060.567.0intel_cpufreq schedutil53.062.569.0P-State performance53.064.471.0intel_cpufreq performance54.065.571.0OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.13CPU Temperature Monitor20406080100

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.Cintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave20K40K60K80K100KSE +/- 63.65, N = 7SE +/- 83.85, N = 7SE +/- 807.72, N = 7SE +/- 842.11, N = 7100763.11100543.7291970.9990989.731. (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 powersaveintel_cpufreq performanceP-State performanceintel_cpufreq schedutil60120180240300296.44293.75285.10280.10
MinAvgMaxP-State performance320233593403intel_cpufreq performance229432983405intel_cpufreq schedutil217632233405P-State powersave80124993300OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave76.0306.9553.3intel_cpufreq schedutil116.2328.4543.4intel_cpufreq performance177.4343.0548.2P-State performance172.6352.7574.1OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor140280420560700
MinAvgMaxP-State powersave48.055.363.0intel_cpufreq schedutil49.056.567.0intel_cpufreq performance55.061.268.0P-State performance57.062.970.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

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: SciVisintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave20406080100SE +/- 0.00, N = 3SE +/- 0.00, N = 3100.00100.0090.9190.91MIN: 55.56 / MAX: 111.11MIN: 62.5 / MAX: 111.11MIN: 47.62 / MAX: 100MIN: 58.82 / MAX: 100
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
MinAvgMaxP-State performance340034033404intel_cpufreq performance258533643404intel_cpufreq schedutil230232833406P-State powersave80232183401OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave112.6203.9296.9intel_cpufreq schedutil91.4206.0408.3P-State performance166.4226.3422.1intel_cpufreq performance178.3227.4428.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor110220330440550
MinAvgMaxP-State powersave48.051.061.0P-State performance49.051.554.0intel_cpufreq schedutil47.052.761.0intel_cpufreq performance51.053.155.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

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 performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave30K60K90K120K150KSE +/- 134.33, N = 9SE +/- 133.35, N = 9SE +/- 203.66, N = 8SE +/- 480.22, N = 8123544.09123176.72115501.41114946.461. (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 powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance100200300400500458.43441.37372.37369.71
MinAvgMaxintel_cpufreq performance340134033403P-State performance310133863404intel_cpufreq schedutil229931863403P-State powersave80225843301OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave104.7250.7444.1intel_cpufreq schedutil103.8261.7454.3intel_cpufreq performance196.0330.8404.0P-State performance151.7334.2435.1OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600
MinAvgMaxP-State powersave49.052.259.0intel_cpufreq schedutil50.052.755.0intel_cpufreq performance55.061.869.0P-State performance55.062.270.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave40K80K120K160K200KSE +/- 364.13, N = 4SE +/- 495.98, N = 4SE +/- 196.76, N = 4SE +/- 1423.68, N = 4187300.47186973.06177878.68174911.021. (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: LU.CP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance100200300400500478.36467.72445.54440.34
MinAvgMaxintel_cpufreq performance310432883403P-State performance310532673403intel_cpufreq schedutil187231463404P-State powersave80228843300OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave84.6365.6554.0intel_cpufreq schedutil134.8380.3554.5intel_cpufreq performance195.4419.7579.6P-State performance190.2425.4593.0OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave47.058.869.0intel_cpufreq schedutil47.060.768.0intel_cpufreq performance54.065.272.0P-State performance55.066.673.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

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 - Compression SpeedP-State performanceintel_cpufreq performanceP-State powersaveintel_cpufreq schedutil1122334455SE +/- 0.21, N = 3SE +/- 0.20, N = 3SE +/- 0.32, N = 15SE +/- 0.46, N = 649.148.346.746.11. (CC) gcc options: -O3 -pthread -lz -llzma

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 powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance30060090012001500SE +/- 19.34, N = 9SE +/- 22.92, N = 9SE +/- 17.96, N = 9SE +/- 1.74, N = 31106.691156.491175.691178.521. (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
MinAvgMaxP-State performance310332963518intel_cpufreq schedutil173032923413intel_cpufreq performance310432743471P-State powersave80132323439OpenBenchmarking.orgMegahertz, More Is BetterQuantum ESPRESSO 6.7CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
OpenBenchmarking.orgWatts, Fewer Is BetterQuantum ESPRESSO 6.7CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance110220330440550Min: 79.28 / Avg: 433.06 / Max: 589.04Min: 103.54 / Avg: 441.63 / Max: 586.01Min: 175.37 / Avg: 445.55 / Max: 632.58Min: 160.57 / Avg: 445.81 / Max: 620.76
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

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 - Compression SpeedP-State performanceintel_cpufreq performanceP-State powersaveintel_cpufreq schedutil20406080100SE +/- 0.75, N = 15SE +/- 0.32, N = 3SE +/- 0.55, N = 3SE +/- 0.75, N = 1586.783.182.781.51. (CC) gcc options: -O3 -pthread -lz -llzma

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.3840x2160intel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil0.65931.31861.97792.63723.2965SE +/- 0.00, N = 5SE +/- 0.01, N = 5SE +/- 0.00, N = 4SE +/- 0.03, N = 152.932.932.852.78
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160intel_cpufreq schedutilP-State powersaveintel_cpufreq performanceP-State performance0.0020.0040.0060.0080.010.0090.0090.0080.008
MinAvgMaxintel_cpufreq performance293132863405P-State performance263632233404intel_cpufreq schedutil108828543403P-State powersave80120263174OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 1.4.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave84.7307.4558.3intel_cpufreq schedutil59.7321.9551.2P-State performance154.8346.3560.7intel_cpufreq performance158.5349.7562.6OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor140280420560700
MinAvgMaxP-State powersave49.058.168.0intel_cpufreq schedutil50.060.172.0P-State performance55.062.173.0intel_cpufreq performance55.062.772.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Temperature Monitor20406080100

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-Onlyintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave714212835SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.27, N = 3SE +/- 0.03, N = 328.2828.4029.2529.72
MinAvgMaxP-State performance279331403408intel_cpufreq performance278631273405intel_cpufreq schedutil279231073406P-State powersave80127043408OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave147424635intel_cpufreq schedutil149437595P-State performance161451609intel_cpufreq performance159452618OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption Monitor2004006008001000
MinAvgMaxP-State powersave53.067.675.0intel_cpufreq schedutil56.068.474.0P-State performance56.068.674.0intel_cpufreq performance56.069.475.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU Temperature Monitor20406080100

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 performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil20406080100SE +/- 0.42, N = 6SE +/- 0.79, N = 6SE +/- 0.56, N = 6SE +/- 0.80, N = 6107.63106.62106.17102.70MIN: 88.63 / MAX: 112.78MIN: 84.26 / MAX: 112.87MIN: 84.09 / MAX: 112.29MIN: 81.43 / MAX: 111.73
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance0.0650.130.1950.260.3250.2890.2740.2740.264
MinAvgMaxintel_cpufreq performance265131443405P-State performance266631383403intel_cpufreq schedutil138126033400P-State powersave80123773012OpenBenchmarking.orgMegahertz, More Is BetterEmbree 3.13CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave141.2368.4592.4intel_cpufreq schedutil157.4374.6575.1P-State performance154.3392.3597.7intel_cpufreq performance166.4402.7597.3OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave52.062.470.0P-State performance55.063.771.0intel_cpufreq performance56.065.372.0intel_cpufreq schedutil57.065.471.0OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.13CPU Temperature Monitor20406080100

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 performanceintel_cpufreq schedutilintel_cpufreq performanceP-State powersave4080120160200SE +/- 1.07, N = 3SE +/- 1.14, N = 3SE +/- 0.59, N = 3SE +/- 1.18, N = 3190.69191.17191.80199.40
MinAvgMaxP-State performance284333193409intel_cpufreq performance219633113413intel_cpufreq schedutil230232993410P-State powersave80230953407OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 12.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave76346598intel_cpufreq schedutil89370606P-State performance184392610intel_cpufreq performance185393629OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 12.0CPU Power Consumption Monitor2004006008001000
MinAvgMaxP-State powersave40.060.376.0intel_cpufreq schedutil42.062.975.0intel_cpufreq performance50.064.476.0P-State performance49.064.676.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 12.0CPU Temperature Monitor20406080100

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 30Mintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil48121620SE +/- 0.01, N = 3SE +/- 0.15, N = 15SE +/- 0.06, N = 3SE +/- 0.14, N = 714.4914.7914.9215.071. (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
MinAvgMaxintel_cpufreq performance300332313408P-State performance300332273409intel_cpufreq schedutil196631393404P-State powersave80228363400OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 8CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave94309570intel_cpufreq schedutil91350570P-State performance158384578intel_cpufreq performance152395641OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor2004006008001000
MinAvgMaxP-State powersave43.053.267.0intel_cpufreq schedutil46.059.571.0intel_cpufreq performance52.061.871.0P-State performance54.064.374.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 8CPU Temperature Monitor20406080100

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.Dintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave2K4K6K8K10KSE +/- 38.79, N = 4SE +/- 60.08, N = 13SE +/- 22.19, N = 3SE +/- 65.72, N = 38938.098920.108634.308620.971. (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 powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance51015202520.7420.0819.4919.33
MinAvgMaxintel_cpufreq performance300531583404P-State performance300131443403intel_cpufreq schedutil80229453403P-State powersave80125913011OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave68.1415.6569.8intel_cpufreq schedutil72.0429.9565.8P-State performance165.5457.8585.0intel_cpufreq performance184.4462.4576.1OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave37.055.367.0intel_cpufreq schedutil38.057.968.0intel_cpufreq performance50.066.574.0P-State performance51.069.276.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

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: vklBenchmarkUnstructuredVolumeintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil400K800K1200K1600K2000KSE +/- 4355.52, N = 3SE +/- 8888.13, N = 3SE +/- 19689.28, N = 3SE +/- 4960.83, N = 31809667180384017572691748017MIN: 24362 / MAX: 5849692MIN: 24013 / MAX: 5810552MIN: 18102 / MAX: 5872318MIN: 13879 / MAX: 5825120
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeintel_cpufreq schedutilP-State powersaveintel_cpufreq performanceP-State performance160032004800640080007409.477267.586326.146287.40
MinAvgMaxP-State performance340334043424intel_cpufreq performance340334043432P-State powersave80132623422intel_cpufreq schedutil143332083416OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq schedutil61.0235.9281.7P-State powersave56.5241.8276.8intel_cpufreq performance150.1286.1358.4P-State performance166.0286.9341.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor100200300400500
MinAvgMaxP-State powersave39.050.056.0intel_cpufreq schedutil40.052.162.0P-State performance46.053.960.0intel_cpufreq performance48.055.762.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100

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.Cintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave40K80K120K160K200KSE +/- 230.36, N = 4SE +/- 313.16, N = 4SE +/- 322.38, N = 4SE +/- 416.58, N = 4197821.88197815.31191705.02191166.411. (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.Cintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance100200300400500475.18473.91454.64445.67
MinAvgMaxintel_cpufreq performance310732833406P-State performance310732683404intel_cpufreq schedutil153431593405P-State powersave80230133300OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave62.1403.4562.2intel_cpufreq schedutil62.8403.4562.6P-State performance142.1435.1592.6intel_cpufreq performance137.8443.9612.4OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave28.050.765.0intel_cpufreq schedutil28.052.366.0intel_cpufreq performance36.055.668.0P-State performance36.056.067.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

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 performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave306090120150SE +/- 1.64, N = 15SE +/- 1.26, N = 15SE +/- 0.00, N = 8SE +/- 0.00, N = 8114.81112.96111.11111.11MIN: 24.39 / MAX: 125MIN: 26.32 / MAX: 125MIN: 22.73MIN: 22.22
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance0.12850.2570.38550.5140.64250.5710.5700.3700.365
MinAvgMaxP-State performance296833633404intel_cpufreq performance220933213403intel_cpufreq schedutil101922693267P-State powersave80119862628OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave69.6194.7334.6intel_cpufreq schedutil70.1194.9328.7intel_cpufreq performance154.4305.6423.6P-State performance174.6314.4422.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor110220330440550
MinAvgMaxP-State powersave41.045.654.0intel_cpufreq schedutil43.047.757.0P-State performance46.054.064.0intel_cpufreq performance45.054.165.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

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-Onlyintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave20406080100SE +/- 0.20, N = 3SE +/- 0.34, N = 3SE +/- 0.55, N = 3SE +/- 0.44, N = 3104.51105.10107.39107.73
MinAvgMaxintel_cpufreq performance289230143408P-State performance290430103405intel_cpufreq schedutil230129763406P-State powersave80229363405OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave93490623intel_cpufreq schedutil140492619intel_cpufreq performance171511631P-State performance188512623OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption Monitor2004006008001000
MinAvgMaxP-State powersave49.069.875.0intel_cpufreq schedutil52.070.276.0intel_cpufreq performance55.071.075.0P-State performance54.071.976.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU Temperature Monitor20406080100

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: IS.DP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000SE +/- 15.07, N = 4SE +/- 29.00, N = 4SE +/- 5.86, N = 4SE +/- 32.51, N = 43014.772999.722978.522926.261. (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 powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance2468108.7458.2207.7847.745
MinAvgMaxP-State performance320232823403intel_cpufreq performance310532793403intel_cpufreq schedutil310232313405P-State powersave80127613307OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave89.1343.0549.9intel_cpufreq schedutil121.9356.0540.0intel_cpufreq performance191.3382.7557.9P-State performance189.4389.2549.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor140280420560700
MinAvgMaxP-State performance57.061.668.0intel_cpufreq schedutil50.061.669.0P-State powersave50.062.373.0intel_cpufreq performance59.066.574.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.Cintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave30K60K90K120K150KSE +/- 209.39, N = 10SE +/- 89.79, N = 10SE +/- 233.06, N = 10SE +/- 333.81, N = 10120124.05120084.27117869.49116754.161. (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 powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance150300450600750680.15540.22427.24412.87
MinAvgMaxP-State performance340034023404intel_cpufreq performance334833993405intel_cpufreq schedutil230030853404P-State powersave80119413057OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave95.5171.7333.1intel_cpufreq schedutil78.8218.2471.0intel_cpufreq performance188.3281.2385.2P-State performance151.1290.9431.5OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600
MinAvgMaxP-State powersave44.050.159.0intel_cpufreq schedutil46.051.761.0P-State performance50.052.960.0intel_cpufreq performance54.057.464.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

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 V4P-State performanceintel_cpufreq schedutilintel_cpufreq performanceP-State powersave150K300K450K600K750KSE +/- 2267.77, N = 3SE +/- 2013.17, N = 3SE +/- 6399.11, N = 3SE +/- 5220.61, N = 3663707672254677421682153
MinAvgMaxintel_cpufreq performance302931433403intel_cpufreq schedutil303131383407P-State performance303331343404P-State powersave80230023210OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave142.3503.7615.6intel_cpufreq schedutil188.1514.1611.8intel_cpufreq performance194.4518.9616.9P-State performance201.4519.2613.3OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor160320480640800
MinAvgMaxintel_cpufreq schedutil53.070.274.0P-State powersave55.071.174.0P-State performance56.072.175.0intel_cpufreq performance56.073.276.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100

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 performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave510152025SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 318.5018.5218.7518.98
MinAvgMaxintel_cpufreq performance304133643406P-State performance294833463407intel_cpufreq schedutil80231343404P-State powersave80129183404OpenBenchmarking.orgMegahertz, More Is BetterTimed Mesa Compilation 21.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave80.3259.4495.4intel_cpufreq schedutil65.1271.5488.7intel_cpufreq performance189.9301.5617.0P-State performance171.9313.3623.7OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 21.0CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave43.052.063.0intel_cpufreq schedutil46.054.365.0P-State performance52.056.268.0intel_cpufreq performance52.057.367.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Mesa Compilation 21.0CPU Temperature Monitor20406080100

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 Objintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave20406080100SE +/- 0.14, N = 3SE +/- 0.48, N = 3SE +/- 0.38, N = 3SE +/- 0.41, N = 389.4989.0987.9987.21MIN: 71.05 / MAX: 98.17MIN: 70.73 / MAX: 97.89MIN: 70.3 / MAX: 98.24MIN: 69.09 / MAX: 97.86
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon ObjP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance0.06910.13820.20730.27640.34550.3070.3000.2910.289
MinAvgMaxintel_cpufreq performance269132333410P-State performance266832153405P-State powersave80130303404intel_cpufreq schedutil110029953404OpenBenchmarking.orgMegahertz, More Is BetterEmbree 3.13CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave102.3284.4554.8intel_cpufreq schedutil128.2293.2576.1P-State performance163.0305.7571.3intel_cpufreq performance151.5310.0582.8OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave52.056.466.0P-State performance54.057.567.0intel_cpufreq schedutil54.058.870.0intel_cpufreq performance55.058.868.0OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.13CPU Temperature Monitor20406080100

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 Solverintel_cpufreq schedutilintel_cpufreq performanceP-State performanceP-State powersave1.08612.17223.25834.34445.4305SE +/- 0.014, N = 8SE +/- 0.019, N = 8SE +/- 0.036, N = 8SE +/- 0.041, N = 154.7104.7294.7464.8271. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxintel_cpufreq performance340334033404P-State performance340334033404intel_cpufreq schedutil222633333403P-State powersave80124103406OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave119.5287.3496.8intel_cpufreq schedutil184.6297.3483.2intel_cpufreq performance194.1298.0490.6P-State performance193.7311.0390.8OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor130260390520650
MinAvgMaxP-State powersave48.053.063.0intel_cpufreq schedutil49.053.563.0intel_cpufreq performance52.055.965.0P-State performance54.059.668.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

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 performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave9K18K27K36K45KSE +/- 274.68, N = 3SE +/- 83.53, N = 3SE +/- 380.67, N = 7SE +/- 341.07, N = 9423894233841743414211. (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 powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance4080120160200174.15166.04163.09160.57
MinAvgMaxintel_cpufreq performance340334083435P-State performance340334073413intel_cpufreq schedutil90833573409P-State powersave80131653408OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave68.2237.8275.4intel_cpufreq schedutil67.5251.4286.7P-State performance181.0259.9289.3intel_cpufreq performance183.3263.7291.9OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption Monitor70140210280350
MinAvgMaxP-State powersave32.041.244.0P-State performance43.044.549.0intel_cpufreq performance48.052.861.0intel_cpufreq schedutil34.054.764.0OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature Monitor20406080100

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 performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave2K4K6K8K10KSE +/- 25.12, N = 3SE +/- 24.06, N = 3SE +/- 65.66, N = 3SE +/- 58.56, N = 1283928380833482121. (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 performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave51015202519.9219.8719.6719.43
MinAvgMaxintel_cpufreq performance294430123403intel_cpufreq schedutil294330083403P-State performance294330043403P-State powersave80129743005OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance190.2421.2500.4intel_cpufreq performance155.3421.8507.2P-State powersave138.0422.6516.0intel_cpufreq schedutil185.5423.7515.2OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor130260390520650
MinAvgMaxintel_cpufreq performance52.060.362.0P-State performance55.063.064.0intel_cpufreq schedutil54.063.865.0P-State powersave52.064.567.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

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: CG.CP-State performanceintel_cpufreq performanceP-State powersaveintel_cpufreq schedutil9K18K27K36K45KSE +/- 113.89, N = 8SE +/- 69.22, N = 8SE +/- 83.38, N = 7SE +/- 42.28, N = 840261.2640226.0239485.7239430.661. (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 powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance306090120150137.13128.90117.69116.28
MinAvgMaxP-State performance320033713404intel_cpufreq performance320233423403intel_cpufreq schedutil230131853404P-State powersave80124403304OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave56.5287.9551.8intel_cpufreq schedutil70.7305.9510.9intel_cpufreq performance182.4341.8554.4P-State performance178.9346.2549.4OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor140280420560700
MinAvgMaxP-State powersave41.049.661.0intel_cpufreq schedutil43.051.962.0intel_cpufreq performance52.057.164.0P-State performance48.057.867.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

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.3840x2160intel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave0.65931.31861.97792.63723.2965SE +/- 0.01, N = 5SE +/- 0.01, N = 5SE +/- 0.02, N = 4SE +/- 0.01, N = 42.932.932.882.87
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160intel_cpufreq performanceintel_cpufreq schedutilP-State powersaveP-State performance0.0020.0040.0060.0080.010.0090.0090.0090.008
MinAvgMaxP-State performance286133193404intel_cpufreq performance290032863404intel_cpufreq schedutil212530503403P-State powersave80121203300OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 1.4.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq schedutil89.9324.7557.4P-State powersave71.7336.6551.4intel_cpufreq performance179.4341.8560.5P-State performance159.5346.4561.4OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor140280420560700
MinAvgMaxP-State powersave46.056.967.0P-State performance52.059.869.0intel_cpufreq schedutil50.059.872.0intel_cpufreq performance54.060.269.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Temperature Monitor20406080100

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 3.1intel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil918273645SE +/- 0.21, N = 3SE +/- 0.20, N = 3SE +/- 0.17, N = 3SE +/- 0.12, N = 340.8340.6540.1440.071. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1intel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.01730.03460.05190.06920.08650.0770.0760.0760.076
MinAvgMaxP-State performance300230253403intel_cpufreq performance300230233403intel_cpufreq schedutil220030033403P-State powersave80229883390OpenBenchmarking.orgMegahertz, More Is BetterHigh Performance Conjugate Gradient 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave101.0525.4566.6intel_cpufreq schedutil148.5526.9567.0intel_cpufreq performance185.0529.9567.5P-State performance192.8531.4567.4OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption Monitor140280420560700
MinAvgMaxP-State performance46.066.474.0intel_cpufreq performance45.066.575.0P-State powersave37.066.675.0intel_cpufreq schedutil43.067.076.0OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Temperature Monitor20406080100

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 Speedintel_cpufreq performanceintel_cpufreq schedutilP-State powersaveP-State performance6001200180024003000SE +/- 4.37, N = 3SE +/- 4.60, N = 15SE +/- 16.96, N = 3SE +/- 5.29, N = 152609.72594.72563.22561.81. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression SpeedP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance369121510.98010.93110.0269.740
MinAvgMaxP-State performance340034043411intel_cpufreq performance340334043407intel_cpufreq schedutil100733113413P-State powersave80132973408OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.5.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave67.7233.5355.4intel_cpufreq schedutil67.8237.4377.1intel_cpufreq performance149.9260.3397.2P-State performance150.3263.0417.7OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption Monitor110220330440550
MinAvgMaxP-State powersave33.042.555.0intel_cpufreq performance46.047.353.0P-State performance46.048.159.0intel_cpufreq schedutil37.053.065.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.5.0CPU Temperature Monitor20406080100

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 Timeintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil40M80M120M160M200MSE +/- 2150017.23, N = 3SE +/- 1592768.45, N = 3SE +/- 1103002.46, N = 3SE +/- 1451422.61, N = 151786294741771314281770311221754461821. (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 powersaveintel_cpufreq performanceP-State performanceintel_cpufreq schedutil80K160K240K320K400K392264.24380770.10378389.79368173.69
MinAvgMaxP-State performance298731063406intel_cpufreq performance297431053405intel_cpufreq schedutil217330603404P-State powersave80126523002OpenBenchmarking.orgMegahertz, More Is BetterStockfish 13CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave90.8451.3621.5P-State performance201.4468.1625.2intel_cpufreq performance194.9469.1622.5intel_cpufreq schedutil88.3476.5620.1OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 13CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave47.065.874.0P-State performance49.066.173.0intel_cpufreq performance53.069.376.0intel_cpufreq schedutil47.070.576.0OpenBenchmarking.orgCelsius, Fewer Is BetterStockfish 13CPU Temperature Monitor20406080100

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 LavaMDintel_cpufreq schedutilP-State performanceintel_cpufreq performanceP-State powersave918273645SE +/- 0.18, N = 3SE +/- 0.13, N = 3SE +/- 0.47, N = 3SE +/- 0.23, N = 339.2039.4239.7539.821. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxP-State performance280930113408intel_cpufreq performance280829973407intel_cpufreq schedutil112828803405P-State powersave80128193406OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave117449619P-State performance184457637intel_cpufreq performance182463633intel_cpufreq schedutil139464629OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor2004006008001000
MinAvgMaxP-State powersave46.066.675.0intel_cpufreq schedutil46.068.177.0intel_cpufreq performance50.069.077.0P-State performance52.069.176.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

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 CPUintel_cpufreq performanceP-State powersaveintel_cpufreq schedutilP-State performance4080120160200SE +/- 0.29, N = 3SE +/- 2.36, N = 3SE +/- 1.89, N = 3SE +/- 0.44, N = 31971961941941. (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 powersaveintel_cpufreq performanceP-State performanceintel_cpufreq schedutil0.10040.20080.30120.40160.5020.4460.4400.4350.434
MinAvgMaxP-State performance286629513404intel_cpufreq performance285529403404intel_cpufreq schedutil217729193404P-State powersave80128803400OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave99.4439.7539.2P-State performance156.5446.0541.2intel_cpufreq schedutil111.1447.2540.9intel_cpufreq performance204.1447.9541.1OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor140280420560700
MinAvgMaxintel_cpufreq performance49.063.568.0intel_cpufreq schedutil52.066.471.0P-State powersave51.066.774.0P-State performance54.068.174.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

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 performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave306090120150SE +/- 0.50, N = 3SE +/- 0.45, N = 3SE +/- 0.14, N = 3SE +/- 0.40, N = 3127.32127.33127.69129.27
MinAvgMaxP-State performance277631083408intel_cpufreq performance277530973409intel_cpufreq schedutil180230713407P-State powersave80128703404OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 12.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave71.4379.5618.6intel_cpufreq schedutil79.9401.9622.4P-State performance178.6430.6612.2intel_cpufreq performance156.8431.5617.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 12.0CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave42.062.077.0intel_cpufreq schedutil44.063.676.0P-State performance50.066.080.0intel_cpufreq performance51.066.978.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 12.0CPU Temperature Monitor20406080100

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: yolov4 - Device: OpenMP CPUintel_cpufreq schedutilP-State performanceP-State powersaveintel_cpufreq performance100200300400500SE +/- 5.29, N = 3SE +/- 5.43, N = 3SE +/- 2.02, N = 3SE +/- 0.73, N = 34834834804761. (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 powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance0.24120.48240.72360.96481.2061.0721.0681.0631.054
MinAvgMaxintel_cpufreq performance292729963406P-State performance293029923404intel_cpufreq schedutil292229753405P-State powersave80229043007OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave154.5447.7550.4intel_cpufreq performance207.9451.6544.9intel_cpufreq schedutil124.6452.1549.9P-State performance179.5454.5548.4OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor140280420560700
MinAvgMaxintel_cpufreq performance51.061.663.0P-State powersave54.068.172.0P-State performance57.068.673.0intel_cpufreq schedutil55.069.072.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

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.4096x4096intel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave0.3150.630.9451.261.575SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.401.401.381.38
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x4096intel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.00090.00180.00270.00360.00450.0040.0040.0040.004
MinAvgMaxP-State performance285133133411intel_cpufreq performance280432473403intel_cpufreq schedutil230130893404P-State powersave80121873299OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 1.4.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave75.2357.4558.0intel_cpufreq schedutil92.3363.8561.6intel_cpufreq performance186.9380.7559.6P-State performance151.6384.8559.5OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor140280420560700
MinAvgMaxP-State powersave45.060.372.0P-State performance52.061.372.0intel_cpufreq performance53.062.872.0intel_cpufreq schedutil48.063.072.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Temperature Monitor20406080100

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-Onlyintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil1632486480SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 371.2271.2772.1772.24
MinAvgMaxP-State performance277529303405intel_cpufreq performance277429183405intel_cpufreq schedutil220028563403P-State powersave80128013400OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq schedutil113508624P-State powersave98508636P-State performance164516627intel_cpufreq performance195518638OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption Monitor2004006008001000
MinAvgMaxP-State powersave50.071.876.0intel_cpufreq schedutil52.072.578.0P-State performance57.073.077.0intel_cpufreq performance57.073.478.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU Temperature Monitor20406080100

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 CPUintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil10002000300040005000SE +/- 11.74, N = 4SE +/- 24.52, N = 4SE +/- 10.80, N = 4SE +/- 36.10, N = 44574.834539.994538.694510.291. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterArrayFire 3.7Test: BLAS CPUP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance369121512.8712.4612.3312.17
MinAvgMaxP-State performance340334073437intel_cpufreq schedutil330033863408intel_cpufreq performance223333383433P-State powersave80230513408OpenBenchmarking.orgMegahertz, More Is BetterArrayFire 3.7CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave151.4352.8502.8intel_cpufreq schedutil142.1362.1489.2intel_cpufreq performance162.2371.0504.1P-State performance193.5373.0497.4OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7CPU Power Consumption Monitor130260390520650
MinAvgMaxintel_cpufreq schedutil46.050.962.0P-State powersave44.052.161.0P-State performance47.052.163.0intel_cpufreq performance47.054.663.0OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7CPU Temperature Monitor20406080100

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 powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance246810SE +/- 0.058, N = 15SE +/- 0.044, N = 6SE +/- 0.076, N = 6SE +/- 0.078, N = 157.7107.7127.7277.8161. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxP-State performance300032863411intel_cpufreq performance300032613404intel_cpufreq schedutil142031523403P-State powersave80125483405OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq schedutil69.0316.0481.9intel_cpufreq performance189.0331.2492.1P-State powersave55.0332.0522.3P-State performance150.9343.8499.3OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor130260390520650
MinAvgMaxP-State powersave39.054.863.0P-State performance52.057.664.0intel_cpufreq schedutil46.058.065.0intel_cpufreq performance54.059.264.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

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 performanceintel_cpufreq performanceP-State powersaveintel_cpufreq schedutil3691215SE +/- 0.05, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.01, N = 411.0611.0611.1911.211. (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
MinAvgMaxintel_cpufreq performance300232053405P-State performance300431773403intel_cpufreq schedutil300331523405P-State powersave80226973075OpenBenchmarking.orgMegahertz, More Is BetterXcompact3d Incompact3d 2021-03-11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave111.3393.9566.7intel_cpufreq schedutil180.2396.0567.6intel_cpufreq performance160.8422.8573.1P-State performance214.2429.1570.9OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor140280420560700
MinAvgMaxP-State powersave46.056.966.0intel_cpufreq schedutil51.058.465.0P-State performance51.060.466.0intel_cpufreq performance52.060.965.0OpenBenchmarking.orgCelsius, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Temperature Monitor20406080100

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 Speedintel_cpufreq performanceP-State powersaveintel_cpufreq schedutilP-State performance6001200180024003000SE +/- 2.06, N = 3SE +/- 4.94, N = 15SE +/- 8.19, N = 6SE +/- 9.19, N = 32713.12711.62693.42677.91. (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 powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance369121512.4812.2011.3111.10
MinAvgMaxintel_cpufreq performance340334043410P-State performance340334043409intel_cpufreq schedutil141633323409P-State powersave80132883409OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.5.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave69.3217.3300.8intel_cpufreq schedutil56.0220.9303.6intel_cpufreq performance179.5239.9319.4P-State performance150.3241.4314.1OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption Monitor80160240320400
MinAvgMaxP-State performance46.047.350.0P-State powersave39.047.451.0intel_cpufreq performance46.048.056.0intel_cpufreq schedutil44.049.953.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.5.0CPU Temperature Monitor1632486480

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_bareintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave3691215SE +/- 0.011, N = 3SE +/- 0.048, N = 3SE +/- 0.035, N = 3SE +/- 0.038, N = 39.1029.0529.0428.9991. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bareintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.00450.0090.01350.0180.02250.020.020.020.02
MinAvgMaxintel_cpufreq performance290331643404P-State performance290031413403intel_cpufreq schedutil223130643403P-State powersave80228363400OpenBenchmarking.orgMegahertz, More Is BetterGROMACS 2021.2CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave63445722intel_cpufreq schedutil178461571P-State performance71461575intel_cpufreq performance155465570OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2021.2CPU Power Consumption Monitor2004006008001000
MinAvgMaxintel_cpufreq performance52.062.871.0P-State powersave48.063.174.0P-State performance52.066.676.0intel_cpufreq schedutil53.067.476.0OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2021.2CPU Temperature Monitor20406080100

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 Atomsintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave816243240SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 335.8535.8335.7935.501. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atomsintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.01510.03020.04530.06040.07550.0670.0670.0670.067
MinAvgMaxintel_cpufreq performance300030183403P-State performance300030183403intel_cpufreq schedutil300230153403P-State powersave80229813204OpenBenchmarking.orgMegahertz, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave124.1531.5568.5intel_cpufreq schedutil149.4532.5567.5intel_cpufreq performance189.0534.9577.7P-State performance191.2535.5569.6OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption Monitor140280420560700
MinAvgMaxintel_cpufreq schedutil51.069.872.0P-State performance49.071.076.0P-State powersave48.071.275.0intel_cpufreq performance50.072.074.0OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Temperature Monitor20406080100

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 60Mintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil20406080100SE +/- 0.16, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.38, N = 3104.27104.76105.03105.101. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
MinAvgMaxP-State performance300231713413intel_cpufreq performance300231703409intel_cpufreq schedutil220931573405P-State powersave80130533405OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 8CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave81.1392.5569.6intel_cpufreq schedutil125.3401.3568.2intel_cpufreq performance172.9415.8568.3P-State performance153.9418.2568.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor140280420560700
MinAvgMaxP-State powersave44.060.875.0P-State performance46.062.474.0intel_cpufreq schedutil45.062.575.0intel_cpufreq performance46.062.976.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 8CPU Temperature Monitor20406080100

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: 57intel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave700M1400M2100M2800M3500MSE +/- 5955109.85, N = 3SE +/- 2605762.84, N = 3SE +/- 1071343.91, N = 3SE +/- 12922117.13, N = 330967000003085100000308253333330739333331. (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: 57intel_cpufreq performanceP-State powersaveP-State performanceintel_cpufreq schedutil1.4M2.8M4.2M5.6M7M6658045.416650836.156607333.416576582.79
MinAvgMaxintel_cpufreq schedutil295930713404P-State performance295830713403intel_cpufreq performance295630693403P-State powersave80128363000OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave157.2462.2625.0intel_cpufreq performance196.4465.1607.4P-State performance196.5466.9607.3intel_cpufreq schedutil169.3468.7615.2OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave52.069.775.0intel_cpufreq performance55.069.975.0P-State performance55.070.574.0intel_cpufreq schedutil55.070.575.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 2021.01.31CPU Temperature Monitor20406080100

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 57intel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave700M1400M2100M2800M3500MSE +/- 5329477.77, N = 3SE +/- 6806124.69, N = 3SE +/- 4817445.15, N = 3SE +/- 10910901.79, N = 332934000003293000000329146666732701333331. (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: 57intel_cpufreq schedutilP-State performanceintel_cpufreq performanceP-State powersave1.5M3M4.5M6M7.5M7058626.647053355.326985743.486911581.20
MinAvgMaxP-State performance299030963405intel_cpufreq schedutil288030663403intel_cpufreq performance218330003408P-State powersave80228733008OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq schedutil157.2466.3582.9P-State performance148.2466.9588.2intel_cpufreq performance168.0471.4579.0P-State powersave101.4473.1582.5OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave47.067.473.0intel_cpufreq schedutil49.067.974.0P-State performance51.068.074.0intel_cpufreq performance53.068.273.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 2021.01.31CPU Temperature Monitor20406080100

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: Path TracerP-State powersaveintel_cpufreq performanceintel_cpufreq schedutilP-State 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: 8.26 / MAX: 10.75MIN: 7.75 / MAX: 10.53MIN: 8.33 / MAX: 10.75
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerP-State powersaveintel_cpufreq performanceintel_cpufreq schedutilP-State performance0.00540.01080.01620.02160.0270.0240.0230.0230.023
MinAvgMaxP-State performance251128553403intel_cpufreq performance251028153404intel_cpufreq schedutil217528033403P-State powersave80126043400OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave142.0430.1597.4intel_cpufreq schedutil164.3440.0605.9P-State performance160.8444.9606.8intel_cpufreq performance189.9449.5597.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave48.064.673.0P-State performance53.067.474.0intel_cpufreq schedutil53.067.775.0intel_cpufreq performance54.067.875.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerP-State performanceintel_cpufreq performanceP-State powersaveintel_cpufreq schedutil3691215SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 310.4510.4210.4210.38MIN: 7.94 / MAX: 10.75MIN: 7.14 / MAX: 10.64MIN: 7.69 / MAX: 10.64MIN: 7.69 / MAX: 10.53
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance0.00720.01440.02160.02880.0360.0320.0310.0310.030
MinAvgMaxP-State performance252531113407intel_cpufreq performance252231013404intel_cpufreq schedutil230229873406P-State powersave80228933405OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave59.2323.6599.8intel_cpufreq schedutil73.2331.0607.4P-State performance149.2340.5585.7intel_cpufreq performance155.3347.7589.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave43.055.869.0P-State performance48.057.870.0intel_cpufreq schedutil45.058.972.0intel_cpufreq performance50.059.572.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

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 Atomsintel_cpufreq performanceP-State powersaveP-State performanceintel_cpufreq schedutil0.06130.12260.18390.24520.3065SE +/- 0.00021, N = 3SE +/- 0.00040, N = 3SE +/- 0.00055, N = 3SE +/- 0.00043, N = 30.270510.270930.271680.27227
MinAvgMaxP-State performance294631243403intel_cpufreq performance292231153403intel_cpufreq schedutil294230943404P-State powersave80128833010OpenBenchmarking.orgMegahertz, More Is BetterNAMD 2.14CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq schedutil145429609P-State performance189456636intel_cpufreq performance162459635P-State powersave129477647OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor2004006008001000
MinAvgMaxintel_cpufreq schedutil51.063.469.0P-State performance54.065.369.0intel_cpufreq performance54.065.470.0P-State powersave51.066.970.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD 2.14CPU Temperature Monitor20406080100

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.Cintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave20K40K60K80K100KSE +/- 55.17, N = 4SE +/- 159.72, N = 4SE +/- 142.93, N = 3SE +/- 139.83, N = 391830.5691817.7691642.3391313.601. (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.Cintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance50100150200250223.98220.93203.56201.24
MinAvgMaxP-State performance310232703404intel_cpufreq performance310332413403intel_cpufreq schedutil180131143403P-State powersave80229893302OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq schedutil94.7409.2564.8P-State powersave95.4413.3571.9P-State performance193.4451.1596.8intel_cpufreq performance191.4456.3597.0OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave46.060.068.0intel_cpufreq schedutil45.060.669.0P-State performance55.066.773.0intel_cpufreq performance54.067.372.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

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 Buckyballintel_cpufreq schedutilintel_cpufreq performanceP-State powersaveP-State performance4008001200160020001880.01882.21882.31888.21. (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
MinAvgMaxintel_cpufreq performance300330183409P-State performance300330173409intel_cpufreq schedutil230030153409P-State powersave80130073409OpenBenchmarking.orgMegahertz, More Is BetterNWChem 7.0.2CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave82.9514.5622.8intel_cpufreq schedutil130.4515.2593.0P-State performance213.6516.6576.3intel_cpufreq performance213.9516.6594.5OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State performance55.070.579.0intel_cpufreq schedutil53.070.576.0intel_cpufreq performance58.070.777.0P-State powersave52.072.478.0OpenBenchmarking.orgCelsius, Fewer Is BetterNWChem 7.0.2CPU Temperature Monitor20406080100

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: CPUintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave80160240320400SE +/- 1.39, N = 3SE +/- 1.38, N = 3SE +/- 1.34, N = 3SE +/- 1.16, N = 3349.03349.44349.99350.271. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -pthread -lmpi_cxx -lmpi
MinAvgMaxP-State performance294130073403intel_cpufreq performance290830023403intel_cpufreq schedutil150129893403P-State powersave80129653200OpenBenchmarking.orgMegahertz, More Is BetterRELION 3.1.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave66.9530.9618.2intel_cpufreq schedutil65.2534.0616.2intel_cpufreq performance150.2534.9618.2P-State performance169.7535.5615.0OpenBenchmarking.orgWatts, Fewer Is BetterRELION 3.1.1CPU Power Consumption Monitor160320480640800
MinAvgMaxintel_cpufreq schedutil37.067.376.0intel_cpufreq performance50.067.676.0P-State powersave32.067.977.0P-State performance49.068.076.0OpenBenchmarking.orgCelsius, Fewer Is BetterRELION 3.1.1CPU Temperature Monitor20406080100

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 HotSpot3Dintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave20406080100SE +/- 0.52, N = 3SE +/- 0.27, N = 3SE +/- 0.01, N = 3SE +/- 0.44, N = 3104.09104.18104.19104.341. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxP-State performance300033343408intel_cpufreq performance300033243410intel_cpufreq schedutil230333053406P-State powersave80232773406OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave82.7251.2526.1intel_cpufreq schedutil102.4256.6517.5P-State performance149.6264.0525.2intel_cpufreq performance179.6264.8537.0OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor140280420560700
MinAvgMaxintel_cpufreq performance45.051.162.0P-State performance47.052.462.0P-State powersave47.054.665.0intel_cpufreq schedutil47.056.067.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

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 V2intel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance120K240K360K480K600KSE +/- 1875.50, N = 3SE +/- 1289.77, N = 3SE +/- 2262.00, N = 3SE +/- 491.89, N = 3571632572065572149572679
MinAvgMaxintel_cpufreq performance300530683403P-State performance300330593403intel_cpufreq schedutil240230383404P-State powersave80129023050OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave149511635intel_cpufreq schedutil133512626P-State performance152516640intel_cpufreq performance154517637OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor2004006008001000
MinAvgMaxintel_cpufreq schedutil49.069.573.0P-State performance54.071.776.0intel_cpufreq performance52.071.876.0P-State powersave50.072.077.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100

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 2.5kmintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave2K4K6K8K10K9875.269885.569889.919892.421. (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 performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 2953 / Avg: 3010.99 / Max: 3403Min: 2950 / Avg: 3010.05 / Max: 3403Min: 2904 / Avg: 3009.83 / Max: 3400Min: 938 / Avg: 3009.34 / Max: 3537
OpenBenchmarking.orgWatts, Fewer Is BetterWRF 4.2.2CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 170.31 / Avg: 533.23 / Max: 579.12Min: 143.32 / Avg: 534.46 / Max: 576.03Min: 152.56 / Avg: 535.01 / Max: 577.46Min: 153.97 / Avg: 535.42 / Max: 576.31
OpenBenchmarking.orgCelsius, Fewer Is BetterWRF 4.2.2CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 55 / Avg: 67.24 / Max: 74Min: 52 / Avg: 68.72 / Max: 74Min: 55 / Avg: 69.28 / Max: 74Min: 55 / Avg: 70.13 / Max: 74

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.i3dintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil60120180240300SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3289.98290.14290.41290.421. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
MinAvgMaxP-State performance300230193403intel_cpufreq performance300230193403intel_cpufreq schedutil221330143403P-State powersave80129693313OpenBenchmarking.orgMegahertz, More Is BetterXcompact3d Incompact3d 2021-03-11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave138.7530.0567.2intel_cpufreq schedutil95.3533.2570.3intel_cpufreq performance180.8533.5577.7P-State performance185.0533.6582.5OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave49.065.874.0intel_cpufreq schedutil48.067.174.0P-State performance50.068.273.0intel_cpufreq performance50.068.273.0OpenBenchmarking.orgCelsius, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Temperature Monitor20406080100

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 Tracerintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave714212835SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 527.7827.7827.7827.78MIN: 17.54 / MAX: 29.41MIN: 16.95 / MAX: 28.57MIN: 17.54 / MAX: 29.41MIN: 15.87 / MAX: 29.41
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path Tracerintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance0.01730.03460.05190.06920.08650.0770.0750.0720.071
MinAvgMaxintel_cpufreq performance250830323405P-State performance247329913404intel_cpufreq schedutil251429713403P-State powersave80123703400OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq schedutil81.8361.3543.3P-State powersave67.6368.0608.4P-State performance189.3387.6594.0intel_cpufreq performance152.7394.0593.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave45.058.969.0intel_cpufreq schedutil47.060.870.0P-State performance52.063.371.0intel_cpufreq performance54.063.872.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave510152025SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 418.8718.8718.8718.87MIN: 12.99 / MAX: 19.61MIN: 12.2 / MAX: 19.23MIN: 13.89 / MAX: 19.61MIN: 13.7 / MAX: 19.23
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance0.01150.0230.03450.0460.05750.0510.0480.0470.046
MinAvgMaxintel_cpufreq performance251730703408P-State performance252530003407intel_cpufreq schedutil220229493404P-State powersave80124263400OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave67.5367.6594.2intel_cpufreq schedutil68.1393.1604.2P-State performance151.3403.8607.2intel_cpufreq performance206.0414.6603.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave33.053.466.0intel_cpufreq schedutil37.057.870.0P-State performance48.060.070.0intel_cpufreq performance48.061.772.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

CPU Temperature Monitor

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

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System Monitoringintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance130260390520650Min: 53.9 / Avg: 368.68 / Max: 634.98Min: 53.58 / Avg: 371.79 / Max: 722.02Min: 70.83 / Avg: 413.76 / Max: 639.8Min: 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 powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2883.69 / Max: 3537Min: 801 / Avg: 3003.21 / Max: 3442Min: 2195 / Avg: 3186.64 / Max: 3518Min: 2162 / Avg: 3195.19 / Max: 3483

PostgreSQL pgbench

MinAvgMaxP-State performance45.048.562.0P-State powersave39.050.866.0intel_cpufreq schedutil41.051.365.0intel_cpufreq performance49.055.267.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100

MinAvgMaxP-State powersave55.0231.4606.4intel_cpufreq schedutil65.3245.6612.1P-State performance161.8257.1600.0intel_cpufreq performance148.8257.7600.3OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor160320480640800

MinAvgMaxP-State performance300033663407intel_cpufreq performance219033563436intel_cpufreq schedutil95833173442P-State powersave80130223437OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Only - Average LatencyP-State performanceP-State powersaveintel_cpufreq schedutilintel_cpufreq performance0.06480.12960.19440.25920.324SE +/- 0.003, N = 3SE +/- 0.002, N = 15SE +/- 0.005, N = 15SE +/- 0.006, N = 150.2710.2770.2850.2881. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxP-State performance300033663407intel_cpufreq performance219033563436intel_cpufreq schedutil95833173442P-State powersave80130223437OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave55.0231.4606.4intel_cpufreq schedutil65.3245.6612.1P-State performance161.8257.1600.0intel_cpufreq performance148.8257.7600.3OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State performance45.048.562.0P-State powersave39.050.866.0intel_cpufreq schedutil41.051.365.0intel_cpufreq performance49.055.267.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read OnlyP-State performanceP-State powersaveintel_cpufreq schedutilintel_cpufreq performance200K400K600K800K1000KSE +/- 9754.80, N = 3SE +/- 7359.52, N = 15SE +/- 15445.86, N = 15SE +/- 16646.22, N = 159241909064348853798764621. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

MinAvgMaxP-State powersave39.045.355.0intel_cpufreq schedutil37.047.162.0P-State performance45.048.663.0intel_cpufreq performance50.054.067.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100

MinAvgMaxP-State powersave55.2180.9370.2intel_cpufreq schedutil68.6244.4617.1P-State performance150.4256.1607.4intel_cpufreq performance148.4260.2604.2OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor160320480640800

MinAvgMaxintel_cpufreq performance300033623441P-State performance300033553413intel_cpufreq schedutil165233023405P-State powersave80128213436OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read Only - Average LatencyP-State performanceintel_cpufreq schedutilintel_cpufreq performanceP-State powersave0.05760.11520.17280.23040.288SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.005, N = 150.0810.0810.0810.2561. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxintel_cpufreq performance300033623441P-State performance300033553413intel_cpufreq schedutil165233023405P-State powersave80128213436OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave55.2180.9370.2intel_cpufreq schedutil68.6244.4617.1P-State performance150.4256.1607.4intel_cpufreq performance148.4260.2604.2OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave39.045.355.0intel_cpufreq schedutil37.047.162.0P-State performance45.048.663.0intel_cpufreq performance50.054.067.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read OnlyP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave300K600K900K1200K1500KSE +/- 5304.66, N = 3SE +/- 3615.78, N = 3SE +/- 11834.71, N = 3SE +/- 8388.30, N = 151236713123198312285703933291. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Liquid-DSP

MinAvgMaxintel_cpufreq performance53.064.575.0intel_cpufreq schedutil45.065.976.0P-State powersave44.065.974.0P-State performance53.068.274.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 2021.01.31CPU Temperature Monitor20406080100

MinAvgMaxP-State powersave57.2448.6567.9intel_cpufreq schedutil75.6466.6591.2intel_cpufreq performance212.4477.3581.1P-State performance178.1479.6584.3OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor160320480640800

MinAvgMaxintel_cpufreq performance310032423403intel_cpufreq schedutil182332163407P-State performance310232143404P-State powersave80128433300OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57P-State powersaveintel_cpufreq performanceintel_cpufreq schedutilP-State performance1.4M2.8M4.2M5.6M7M6754065.396437714.606436493.636392760.37

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57intel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil700M1400M2100M2800M3500MSE +/- 8774394.57, N = 3SE +/- 5500404.03, N = 3SE +/- 19182283.49, N = 3SE +/- 69564540.69, N = 1230726000003066133333302990000030031250001. (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 powersaveintel_cpufreq performanceintel_cpufreq schedutilP-State performance1.4M2.8M4.2M5.6M7M6754065.396437714.606436493.636392760.37
MinAvgMaxintel_cpufreq performance310032423403intel_cpufreq schedutil182332163407P-State performance310232143404P-State powersave80128433300OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave57.2448.6567.9intel_cpufreq schedutil75.6466.6591.2intel_cpufreq performance212.4477.3581.1P-State performance178.1479.6584.3OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor160320480640800
MinAvgMaxintel_cpufreq performance53.064.575.0intel_cpufreq schedutil45.065.976.0P-State powersave44.065.974.0P-State performance53.068.274.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 2021.01.31CPU Temperature Monitor20406080100

PJSIP

MinAvgMaxP-State powersave32.033.739.0intel_cpufreq schedutil32.036.655.0P-State performance44.046.449.0intel_cpufreq performance51.053.557.0OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature Monitor1632486480

MinAvgMaxP-State powersave59.1103.7116.6intel_cpufreq schedutil60.9107.6231.7P-State performance166.8231.8281.1intel_cpufreq performance184.2235.0256.4OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption Monitor70140210280350

MinAvgMaxintel_cpufreq performance340334053414P-State performance340034043409intel_cpufreq schedutil80117383403P-State powersave8019633400OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: INVITEP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance61218243024.5823.6223.2723.05

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: INVITEintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil12002400360048006000SE +/- 15.21, N = 3SE +/- 7.17, N = 3SE +/- 29.86, N = 15SE +/- 50.72, N = 1554165393254825401. (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 powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance61218243024.5823.6223.2723.05
MinAvgMaxintel_cpufreq performance340334053414P-State performance340034043409intel_cpufreq schedutil80117383403P-State powersave8019633400OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave59.1103.7116.6intel_cpufreq schedutil60.9107.6231.7P-State performance166.8231.8281.1intel_cpufreq performance184.2235.0256.4OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption Monitor70140210280350
MinAvgMaxP-State powersave32.033.739.0intel_cpufreq schedutil32.036.655.0P-State performance44.046.449.0intel_cpufreq performance51.053.557.0OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature Monitor1632486480

libavif avifenc

MinAvgMaxP-State powersave36.039.150.0intel_cpufreq schedutil38.040.743.0P-State performance44.045.346.0intel_cpufreq performance47.049.552.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor1530456075

MinAvgMaxP-State powersave61.8132.4209.6intel_cpufreq schedutil71.0148.0226.2P-State performance174.7208.8243.2intel_cpufreq performance176.2208.8247.3OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor60120180240300

MinAvgMaxintel_cpufreq performance340334043408P-State performance340334033404intel_cpufreq schedutil80231133405P-State powersave80125453404OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 10, LosslessP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave246810SE +/- 0.031, N = 6SE +/- 0.040, N = 6SE +/- 0.124, N = 15SE +/- 0.141, N = 157.2487.2768.4868.8331. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxintel_cpufreq performance340334043408P-State performance340334033404intel_cpufreq schedutil80231133405P-State powersave80125453404OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave61.8132.4209.6intel_cpufreq schedutil71.0148.0226.2P-State performance174.7208.8243.2intel_cpufreq performance176.2208.8247.3OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor60120180240300
MinAvgMaxP-State powersave36.039.150.0intel_cpufreq schedutil38.040.743.0P-State performance44.045.346.0intel_cpufreq performance47.049.552.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor1530456075

MinAvgMaxP-State powersave38.041.746.0intel_cpufreq schedutil40.045.451.0P-State performance46.047.749.0intel_cpufreq performance52.054.156.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor1632486480

MinAvgMaxP-State powersave62.5127.9203.2intel_cpufreq schedutil58.2142.6217.8P-State performance154.9207.2244.0intel_cpufreq performance149.6209.4244.3OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor60120180240300

MinAvgMaxintel_cpufreq performance340334053410P-State performance340334043410intel_cpufreq schedutil80228523404P-State powersave80124983404OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 10intel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave1.17112.34223.51334.68445.8555SE +/- 0.013, N = 8SE +/- 0.014, N = 8SE +/- 0.066, N = 15SE +/- 0.099, N = 154.3404.3415.1345.2051. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxintel_cpufreq performance340334053410P-State performance340334043410intel_cpufreq schedutil80228523404P-State powersave80124983404OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave62.5127.9203.2intel_cpufreq schedutil58.2142.6217.8P-State performance154.9207.2244.0intel_cpufreq performance149.6209.4244.3OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor60120180240300
MinAvgMaxP-State powersave38.041.746.0intel_cpufreq schedutil40.045.451.0P-State performance46.047.749.0intel_cpufreq performance52.054.156.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor1632486480

AOM AV1

MinAvgMaxP-State powersave31.035.541.0intel_cpufreq schedutil34.042.858.0intel_cpufreq performance45.047.253.0P-State performance45.051.662.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature Monitor20406080100

MinAvgMaxP-State powersave54.6125.5223.4intel_cpufreq schedutil64.3160.5249.6P-State performance203.7301.4346.5intel_cpufreq performance188.6303.1339.2OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor100200300400500

MinAvgMaxP-State performance340034043434intel_cpufreq performance340334043409intel_cpufreq schedutil90829633409P-State powersave80122633318OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4Kintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil0.00740.01480.02220.02960.0370.0330.0320.0310.025

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4Kintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave3691215SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 12SE +/- 0.05, N = 310.019.694.003.941. (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 4Kintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil0.00740.01480.02220.02960.0370.0330.0320.0310.025
MinAvgMaxP-State performance340034043434intel_cpufreq performance340334043409intel_cpufreq schedutil90829633409P-State powersave80122633318OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave54.6125.5223.4intel_cpufreq schedutil64.3160.5249.6P-State performance203.7301.4346.5intel_cpufreq performance188.6303.1339.2OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor100200300400500
MinAvgMaxP-State powersave31.035.541.0intel_cpufreq schedutil34.042.858.0intel_cpufreq performance45.047.253.0P-State performance45.051.662.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature Monitor20406080100

Rodinia

MinAvgMaxP-State powersave43.050.559.0intel_cpufreq schedutil46.055.966.0intel_cpufreq performance58.070.777.0P-State performance57.071.678.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

MinAvgMaxP-State powersave71.3180.5301.3intel_cpufreq schedutil59.9223.2369.5intel_cpufreq performance157.2348.3425.7P-State performance191.0348.5420.4OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor110220330440550

MinAvgMaxintel_cpufreq performance340034043417P-State performance323334033414intel_cpufreq schedutil144426853413P-State powersave80123583401OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave1530456075SE +/- 0.64, N = 12SE +/- 0.69, N = 15SE +/- 1.35, N = 15SE +/- 0.69, N = 646.3647.1163.2969.051. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxintel_cpufreq performance340034043417P-State performance323334033414intel_cpufreq schedutil144426853413P-State powersave80123583401OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave71.3180.5301.3intel_cpufreq schedutil59.9223.2369.5intel_cpufreq performance157.2348.3425.7P-State performance191.0348.5420.4OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor110220330440550
MinAvgMaxP-State powersave43.050.559.0intel_cpufreq schedutil46.055.966.0intel_cpufreq performance58.070.777.0P-State performance57.071.678.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

Darmstadt Automotive Parallel Heterogeneous Suite

MinAvgMaxP-State powersave35.038.641.0intel_cpufreq schedutil40.044.348.0P-State performance46.048.249.0intel_cpufreq performance47.049.650.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature Monitor1428425670

MinAvgMaxP-State powersave54.6167.0233.4intel_cpufreq schedutil73.0171.9241.8intel_cpufreq performance148.3233.7287.4P-State performance149.0234.2277.2OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor70140210280350

MinAvgMaxP-State performance340334043407intel_cpufreq performance340334033405intel_cpufreq schedutil80128383406P-State powersave80128203406OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance0.99991.99982.99973.99964.99954.4444.3223.9483.913

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave2004006008001000SE +/- 4.79, N = 3SE +/- 4.97, N = 3SE +/- 19.99, N = 14SE +/- 18.61, N = 15924.84914.70743.01742.301. (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 powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance0.99991.99982.99973.99964.99954.4444.3223.9483.913
MinAvgMaxP-State performance340334043407intel_cpufreq performance340334033405intel_cpufreq schedutil80128383406P-State powersave80128203406OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave54.6167.0233.4intel_cpufreq schedutil73.0171.9241.8intel_cpufreq performance148.3233.7287.4P-State performance149.0234.2277.2OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor70140210280350
MinAvgMaxP-State powersave35.038.641.0intel_cpufreq schedutil40.044.348.0P-State performance46.048.249.0intel_cpufreq performance47.049.650.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature Monitor1428425670

ONNX Runtime

MinAvgMaxP-State powersave50.064.870.0P-State performance54.065.167.0intel_cpufreq schedutil53.066.670.0intel_cpufreq performance53.068.271.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

MinAvgMaxP-State powersave134.9446.2551.9P-State performance154.6448.2538.5intel_cpufreq schedutil171.1451.4550.5intel_cpufreq performance182.9451.8550.2OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor140280420560700

MinAvgMaxintel_cpufreq performance300030283404P-State performance300030253407intel_cpufreq schedutil220230183403P-State powersave80129673401OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance0.25670.51340.77011.02681.28351.1411.1171.1131.064

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance110220330440550SE +/- 10.98, N = 9SE +/- 8.53, N = 12SE +/- 6.15, N = 12SE +/- 2.17, N = 35095045034771. (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 powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance0.25670.51340.77011.02681.28351.1411.1171.1131.064
MinAvgMaxintel_cpufreq performance300030283404P-State performance300030253407intel_cpufreq schedutil220230183403P-State powersave80129673401OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave134.9446.2551.9P-State performance154.6448.2538.5intel_cpufreq schedutil171.1451.4550.5intel_cpufreq performance182.9451.8550.2OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor140280420560700
MinAvgMaxP-State powersave50.064.870.0P-State performance54.065.167.0intel_cpufreq schedutil53.066.670.0intel_cpufreq performance53.068.271.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

MinAvgMaxintel_cpufreq performance50.066.174.0P-State powersave53.067.372.0P-State performance52.070.575.0intel_cpufreq schedutil52.070.675.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

MinAvgMaxP-State performance187.4459.1563.8P-State powersave116.2460.3567.1intel_cpufreq schedutil196.6462.3560.9intel_cpufreq performance175.7462.8568.1OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor140280420560700

MinAvgMaxintel_cpufreq performance300030233403P-State performance300030223406intel_cpufreq schedutil300030133405P-State powersave80129873006OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUintel_cpufreq performanceP-State powersaveintel_cpufreq schedutilP-State performance4812162015.0314.9914.6214.43

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUintel_cpufreq performanceP-State powersaveintel_cpufreq schedutilP-State performance15003000450060007500SE +/- 156.45, N = 12SE +/- 205.17, N = 12SE +/- 210.11, N = 12SE +/- 200.91, N = 1269556898675666261. (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 CPUintel_cpufreq performanceP-State powersaveintel_cpufreq schedutilP-State performance4812162015.0314.9914.6214.43
MinAvgMaxintel_cpufreq performance300030233403P-State performance300030223406intel_cpufreq schedutil300030133405P-State powersave80129873006OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance187.4459.1563.8P-State powersave116.2460.3567.1intel_cpufreq schedutil196.6462.3560.9intel_cpufreq performance175.7462.8568.1OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor140280420560700
MinAvgMaxintel_cpufreq performance50.066.174.0P-State powersave53.067.372.0P-State performance52.070.575.0intel_cpufreq schedutil52.070.675.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

ArrayFire

MinAvgMaxP-State powersave38.041.644.0intel_cpufreq schedutil42.044.848.0intel_cpufreq performance46.046.949.0P-State performance46.047.254.0OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7CPU Temperature Monitor1530456075

MinAvgMaxP-State powersave89.3183.1264.3intel_cpufreq schedutil136.6221.0305.9intel_cpufreq performance153.7243.0320.9P-State performance160.3246.2325.3OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7CPU Power Consumption Monitor80160240320400

MinAvgMaxP-State performance340334043408intel_cpufreq performance340334043410intel_cpufreq schedutil230332843405P-State powersave80125703405OpenBenchmarking.orgMegahertz, More Is BetterArrayFire 3.7CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient CPUintel_cpufreq performanceP-State powersaveP-State performanceintel_cpufreq schedutil246810SE +/- 0.128, N = 15SE +/- 0.067, N = 15SE +/- 0.068, N = 15SE +/- 0.088, N = 154.0054.2926.1316.4541. (CXX) g++ options: -rdynamic
MinAvgMaxP-State performance340334043408intel_cpufreq performance340334043410intel_cpufreq schedutil230332843405P-State powersave80125703405OpenBenchmarking.orgMegahertz, More Is BetterArrayFire 3.7CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave89.3183.1264.3intel_cpufreq schedutil136.6221.0305.9intel_cpufreq performance153.7243.0320.9P-State performance160.3246.2325.3OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7CPU Power Consumption Monitor80160240320400
MinAvgMaxP-State powersave38.041.644.0intel_cpufreq schedutil42.044.848.0intel_cpufreq performance46.046.949.0P-State performance46.047.254.0OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7CPU Temperature Monitor1530456075

NAS Parallel Benchmarks

MinAvgMaxP-State powersave39.045.053.0intel_cpufreq schedutil41.046.655.0intel_cpufreq performance52.055.067.0P-State performance53.056.067.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

MinAvgMaxP-State powersave68.7142.0325.6intel_cpufreq schedutil103.0198.4382.4intel_cpufreq performance175.0266.5346.9P-State performance166.2274.7393.6OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor110220330440550

MinAvgMaxintel_cpufreq performance340034033409P-State performance311033813410intel_cpufreq schedutil197128763404P-State powersave80118763000OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance102030405042.6231.0428.9127.70

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.Cintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave17003400510068008500SE +/- 128.21, N = 15SE +/- 165.19, N = 15SE +/- 121.94, N = 15SE +/- 109.82, N = 127705.447610.186157.586051.901. (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 powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance102030405042.6231.0428.9127.70
MinAvgMaxintel_cpufreq performance340034033409P-State performance311033813410intel_cpufreq schedutil197128763404P-State powersave80118763000OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave68.7142.0325.6intel_cpufreq schedutil103.0198.4382.4intel_cpufreq performance175.0266.5346.9P-State performance166.2274.7393.6OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor110220330440550
MinAvgMaxP-State powersave39.045.053.0intel_cpufreq schedutil41.046.655.0intel_cpufreq performance52.055.067.0P-State performance53.056.067.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

149 Results Shown

Zstd Compression
Kvazaar
AOM AV1:
  Speed 6 Realtime - Bosphorus 4K
  Speed 8 Realtime - Bosphorus 4K
PostgreSQL pgbench:
  1000 - 250 - Read Write - Average Latency
  1000 - 250 - Read Write
AOM AV1
PJSIP
PostgreSQL pgbench:
  1000 - 100 - Read Write - Average Latency
  1000 - 100 - Read Write
Kvazaar
SVT-HEVC
SVT-VP9:
  PSNR/SSIM Optimized - Bosphorus 1080p
  VMAF Optimized - Bosphorus 1080p
Darmstadt Automotive Parallel Heterogeneous Suite
SVT-AV1
SVT-HEVC
Timed Godot Game Engine Compilation
OpenVKL:
  vklBenchmarkStructuredVolume
  vklBenchmarkVdbVolume
libavif avifenc
Darmstadt Automotive Parallel Heterogeneous Suite
OpenVKL
TensorFlow Lite
Timed Linux Kernel Compilation
OSPray
Timed Node.js Compilation
Embree
NAS Parallel Benchmarks
OSPray
NAS Parallel Benchmarks:
  SP.B
  LU.C
Zstd Compression
Quantum ESPRESSO
Zstd Compression
Intel Open Image Denoise
Blender
Embree
Timed LLVM Compilation
OpenFOAM
NAS Parallel Benchmarks
OpenVKL
NAS Parallel Benchmarks
OSPray
Blender
NAS Parallel Benchmarks:
  IS.D
  MG.C
TensorFlow Lite
Timed Mesa Compilation
Embree
Rodinia
PJSIP
ONNX Runtime
NAS Parallel Benchmarks
Intel Open Image Denoise
High Performance Conjugate Gradient
Zstd Compression
Stockfish
Rodinia
ONNX Runtime
Timed LLVM Compilation
ONNX Runtime
Intel Open Image Denoise
Blender
ArrayFire
Rodinia
Xcompact3d Incompact3d
Zstd Compression
GROMACS
LAMMPS Molecular Dynamics Simulator
OpenFOAM
Liquid-DSP:
  160 - 256 - 57
  128 - 256 - 57
OSPray:
  XFrog Forest - Path Tracer
  San Miguel - Path Tracer
NAMD
NAS Parallel Benchmarks
NWChem
RELION
Rodinia
TensorFlow Lite
WRF
Xcompact3d Incompact3d
OSPray:
  NASA Streamlines - Path Tracer
  XFrog Forest - SciVis
CPU Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Watts
    Megahertz
  CPU Temp Monitor:
    Celsius
  CPU Power Consumption Monitor:
    Watts
  CPU Peak Freq (Highest CPU Core Frequency) Monitor:
    Megahertz
PostgreSQL pgbench:
  1000 - 250 - Read Only - Average Latency
  1000 - 250 - Read Only
PostgreSQL pgbench:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
PostgreSQL pgbench:
  1000 - 100 - Read Only - Average Latency
  1000 - 100 - Read Only
Liquid-DSP:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  64 - 256 - 57
Liquid-DSP
PJSIP:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  INVITE
PJSIP
libavif avifenc:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
libavif avifenc
libavif avifenc:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
libavif avifenc
AOM AV1:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  Speed 6 Two-Pass - Bosphorus 4K
AOM AV1
Rodinia:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
Rodinia
Darmstadt Automotive Parallel Heterogeneous Suite:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  OpenMP - NDT Mapping
Darmstadt Automotive Parallel Heterogeneous Suite
ONNX Runtime:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  bertsquad-10 - OpenMP CPU
ONNX Runtime
ONNX Runtime:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  super-resolution-10 - OpenMP CPU
ONNX Runtime
ArrayFire:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
ArrayFire
NAS Parallel Benchmarks:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  EP.C
NAS Parallel Benchmarks

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.