Xeon Scalable Ice Lake P-State Governor

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

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

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd000270
Python Notes: Python 3.9.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

P-State performance

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate performance - CPU Microcode: 0xd000270
Python Notes: Python 3.9.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

intel_cpufreq schedutil

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0xd000270
Python Notes: Python 3.9.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

intel_cpufreq performance

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

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

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0xd000270
Python Notes: Python 3.9.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Xeon Scalable Ice Lake P-State GovernorOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads)Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS)Intel Device 099816 x 32 GB DDR4-3200MT/s Hynix HMA84GR7CJR4N-XN800GB INTEL SSDPF21Q800GBASPEED2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFPUbuntu 21.045.11.0-17-generic (x86_64)GNOME Shell 3.38.4X Server1.0.2GCC 10.3.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionXeon Scalable Ice Lake P-State Governor BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - P-State powersave: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd000270 - P-State performance: Scaling Governor: intel_pstate performance - CPU Microcode: 0xd000270 - intel_cpufreq schedutil: Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0xd000270 - intel_cpufreq performance: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0xd000270 - Python 3.9.4- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performanceResult OverviewPhoronix Test Suite100%148%195%243%290%AOM AV1KvazaarPostgreSQL pgbenchSVT-VP9SVT-HEVCSVT-AV1PJSIPTimed Godot Game Engine CompilationDarmstadt Automotive Parallel Heterogeneous SuiteZstd CompressionArrayFireOpenVKLlibavif avifencTimed Linux Kernel CompilationTimed Node.js CompilationRodiniaTensorFlow LiteNAS Parallel BenchmarksQuantum ESPRESSOEmbreeOSPrayBlenderTimed LLVM CompilationIntel Open Image DenoiseTimed Mesa CompilationOpenFOAMONNX RuntimeHigh Performance Conjugate GradientStockfishGROMACSLAMMPS Molecular Dynamics SimulatorLiquid-DSPXcompact3d 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 performance296.013.267.3817.0710.7232341123.5937694.2832338323.03258.65206.54210.926634.5830.546168.3875.612719744382172232637.469831.3367041126.824.881125102.19766.525190989.7390.91114946.46174911.0246.71106.6982.72.8529.72106.6219199.39814.928620.971757269191166.41111.11107.732999.72116754.1668215318.98387.20924.82741421821239485.722.8740.13592563.217703112239.815196129.2724801.3872.174538.697.71011.19165662711.68.99935.495105.033073933333327013333310.3810.420.2709391313.601882.3350.266104.3395720659892.42290.41110227.7818.870.2779064340.256393329302990000025488.8335.2053.9469.049742.3050968984.2926051.901011.938.2119.0948.623.7746649361.06103621.5886304946.31576.99453.67460.4413527.23899643056.887305.7748.1571060564582999653930.3451020.7781133656.321.486142.8690.85074.0551100543.72100123544.09187300.4749.11178.5286.72.9328.40107.6307190.68514.798920.101803840197815.31114.81105.103014.77120084.2766370718.49789.08954.74642389839240261.262.9340.64712561.817713142839.423194127.3214831.4071.274539.997.81611.05545092677.99.05235.825104.763085100000329300000010.3110.450.2716891817.761888.2349.993104.1855721499885.556290.14333127.7818.870.2719241900.0811236713306613333353937.2484.3419.6946.358924.8447766266.1317610.18311.711.305.8615.903.8146572621.7237972.7403657720.53345.48260.25262.787077.7635.480193.8053.001779976282359924931.987884.7571835239.022.19012591.85767.754091970.9990.91115501.41177878.6846.11156.4981.52.7829.25102.7043191.17315.078634.301748017191705.02111.11107.392926.26117869.4967225418.75487.99274.71041743833439430.662.8840.06592594.717544618239.199194127.6884831.3872.244510.297.71211.20541792693.49.04235.792105.103082533333329146666710.3110.380.2722791642.331880349.436104.1845716329889.907290.41669727.7818.870.2858853790.0811228570300312500025408.4865.1344.0063.286743.0150467566.4546157.581018.638.2619.2048.913.7916618661.27104091.5946282646.34574.88457.02464.7113249.67869587556.750309.1348.6511067046413001631830.0141021.6282133581.321.410142.8691.08174.2420100763.11100123176.72186973.0648.31175.6983.12.9328.28106.1736191.80114.498938.091809667197821.88112.96104.512978.52120124.0567742118.51789.49054.72942338838040226.022.9340.83112609.717862947439.746197127.3324761.4071.224574.837.72711.05617482713.19.10235.849104.273096700000329340000010.3110.420.2705191830.561882.2349.028104.0885726799875.264289.97558627.7818.870.2888764620.0811231983307260000054167.2764.34010.0147.105914.7050369554.0057705.44OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave2004006008001000SE +/- 5.29, N = 3SE +/- 2.96, N = 3SE +/- 4.09, N = 3SE +/- 0.62, N = 31018.6311.71011.9296.01. (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 performance0.93581.87162.80743.74324.6794.113

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 performanceintel_cpufreq schedutilP-State performanceP-State powersave918273645SE +/- 0.07, N = 4SE +/- 0.02, N = 3SE +/- 0.07, N = 4SE +/- 0.04, N = 338.2611.3038.2113.261. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very Fastintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.02250.0450.06750.090.11250.1000.0840.0980.095
MinAvgMaxintel_cpufreq performance220632663403intel_cpufreq schedutil110420653400P-State performance318733273403P-State powersave80121632304OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance169.5382.7492.0intel_cpufreq schedutil70.9134.1148.8P-State performance211.4388.5491.7P-State powersave67.1139.8156.9OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption Monitor1302603905206501. intel_cpufreq performance: Approximate power consumption of 1722 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1787 Joules per run.3. P-State performance: Approximate power consumption of 1748 Joules per run.4. P-State powersave: Approximate power consumption of 1631 Joules per run.
MinAvgMaxintel_cpufreq performance46.058.266.0intel_cpufreq schedutil38.040.943.0P-State performance48.058.665.0P-State powersave38.040.643.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave510152025SE +/- 0.23, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 319.205.8619.097.381. (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 performanceintel_cpufreq schedutilP-State performanceP-State powersave0.01510.03020.04530.06040.07550.0670.0520.0670.065
MinAvgMaxintel_cpufreq performance340334043422intel_cpufreq schedutil100117883403P-State performance340034033404P-State powersave80121302305OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance153.7285.8321.6intel_cpufreq schedutil60.7111.7120.3P-State performance148.8283.3319.8P-State powersave54.3114.4126.6OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor801602403204001. intel_cpufreq performance: Approximate power consumption of 2477 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 2905 Joules per run.3. P-State performance: Approximate power consumption of 2456 Joules per run.4. P-State powersave: Approximate power consumption of 2402 Joules per run.
MinAvgMaxintel_cpufreq performance45.048.756.0intel_cpufreq schedutil34.036.538.0P-State performance43.044.846.0P-State powersave30.032.834.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave1122334455SE +/- 0.52, N = 4SE +/- 0.03, N = 3SE +/- 0.30, N = 4SE +/- 0.02, N = 348.9115.9048.6217.071. (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 performanceintel_cpufreq schedutilP-State performanceP-State powersave0.04280.08560.12840.17120.2140.1900.1510.1900.163
MinAvgMaxintel_cpufreq performance340034033404intel_cpufreq schedutil81013723202P-State performance340334043407P-State powersave80117942287OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance181.7257.1310.9intel_cpufreq schedutil67.0105.1114.8P-State performance186.2255.5299.2P-State powersave67.7104.9115.9OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor801602403204001. intel_cpufreq performance: Approximate power consumption of 1093 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1121 Joules per run.3. P-State performance: Approximate power consumption of 1086 Joules per run.4. P-State powersave: Approximate power consumption of 1049 Joules per run.
MinAvgMaxintel_cpufreq performance45.045.747.0intel_cpufreq schedutil34.035.937.0P-State performance44.044.345.0P-State powersave29.031.232.0OpenBenchmarking.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 Latencyintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave3691215SE +/- 0.023, N = 3SE +/- 0.017, N = 3SE +/- 0.023, N = 3SE +/- 0.071, N = 33.7913.8143.77410.7231. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxintel_cpufreq performance218533503409intel_cpufreq schedutil182733023407P-State performance300033603410P-State powersave80127923405OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance151.9243.7478.4intel_cpufreq schedutil60.8227.0477.6P-State performance152.8240.5481.6P-State powersave56.0170.9220.2OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor1202403604806001. intel_cpufreq performance: Approximate power consumption of 6011 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 5752 Joules per run.3. P-State performance: Approximate power consumption of 5933 Joules per run.4. P-State powersave: Approximate power consumption of 4500 Joules per run.
MinAvgMaxintel_cpufreq performance50.052.862.0intel_cpufreq schedutil42.047.357.0P-State performance45.047.356.0P-State powersave39.043.247.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Writeintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave14K28K42K56K70KSE +/- 405.25, N = 3SE +/- 301.39, N = 3SE +/- 391.43, N = 3SE +/- 156.62, N = 3661866572666493234111. (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 performanceintel_cpufreq schedutilP-State performanceP-State powersave1428425670SE +/- 0.43, N = 5SE +/- 0.16, N = 15SE +/- 0.27, N = 5SE +/- 0.22, N = 361.2721.7261.0623.591. (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 performanceintel_cpufreq schedutilP-State performanceP-State powersave0.0560.1120.1680.2240.280.2490.2080.2450.225
MinAvgMaxintel_cpufreq performance340034033404intel_cpufreq schedutil80115282303P-State performance340334033404P-State powersave80118332301OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance148.3246.5288.9intel_cpufreq schedutil62.7104.3119.1P-State performance190.4249.4290.0P-State powersave53.6105.0116.9OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor701402102803501. intel_cpufreq performance: Approximate power consumption of 887 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 849 Joules per run.3. P-State performance: Approximate power consumption of 898 Joules per run.4. P-State powersave: Approximate power consumption of 805 Joules per run.
MinAvgMaxintel_cpufreq performance46.047.153.0intel_cpufreq schedutil35.036.638.0P-State performance45.045.246.0P-State powersave29.030.331.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave2K4K6K8K10KSE +/- 6.00, N = 3SE +/- 13.93, N = 3SE +/- 0.58, N = 3SE +/- 31.56, N = 31040937971036237691. (CC) gcc options: -lstdc++ -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2
OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: OPTIONS, Statefulintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave102030405045.1238.2345.8738.12
MinAvgMaxintel_cpufreq performance340034073483intel_cpufreq schedutil80215102300P-State performance340334053428P-State powersave8018582300OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance167.0230.7260.3intel_cpufreq schedutil63.599.3109.9P-State performance185.9225.9244.3P-State powersave62.598.9107.7OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption Monitor701402102803501. intel_cpufreq performance: Approximate power consumption of 3614 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1622 Joules per run.3. P-State performance: Approximate power consumption of 3615 Joules per run.4. P-State powersave: Approximate power consumption of 1648 Joules per run.
MinAvgMaxintel_cpufreq performance47.051.353.0intel_cpufreq schedutil35.036.538.0P-State performance44.044.345.0P-State powersave33.034.536.0OpenBenchmarking.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 Latencyintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.96371.92742.89113.85484.8185SE +/- 0.004, N = 3SE +/- 0.035, N = 3SE +/- 0.007, N = 3SE +/- 0.009, N = 31.5942.7401.5884.2831. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxintel_cpufreq performance300033673431intel_cpufreq schedutil141230643405P-State performance300033613413P-State powersave80127593405OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance150.2238.2441.8intel_cpufreq schedutil55.9187.1309.9P-State performance154.0236.4436.7P-State powersave69.8175.7221.6OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor1202403604806001. intel_cpufreq performance: Approximate power consumption of 5875 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 4740 Joules per run.3. P-State performance: Approximate power consumption of 5753 Joules per run.4. P-State powersave: Approximate power consumption of 4510 Joules per run.
MinAvgMaxintel_cpufreq performance48.051.358.0intel_cpufreq schedutil39.044.750.0P-State performance44.049.057.0P-State powersave41.046.652.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor1632486480

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read Writeintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave14K28K42K56K70KSE +/- 148.39, N = 3SE +/- 464.84, N = 3SE +/- 272.63, N = 3SE +/- 51.95, N = 3628263657763049233831. (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 performanceintel_cpufreq schedutilP-State performanceP-State powersave1122334455SE +/- 0.56, N = 4SE +/- 0.06, N = 3SE +/- 0.31, N = 15SE +/- 0.14, N = 346.3420.5346.3123.031. (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 Fastintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.03890.07780.11670.15560.19450.1380.1550.1350.173
MinAvgMaxintel_cpufreq performance310132943404intel_cpufreq schedutil114122222303P-State performance311732983403P-State powersave80121752300OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance191.2335.5439.8intel_cpufreq schedutil55.9132.0150.2P-State performance183.3343.8438.5P-State powersave57.1133.2155.1OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption Monitor1202403604806001. intel_cpufreq performance: Approximate power consumption of 1342 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1012 Joules per run.3. P-State performance: Approximate power consumption of 1329 Joules per run.4. P-State powersave: Approximate power consumption of 933 Joules per run.
MinAvgMaxintel_cpufreq performance54.060.663.0intel_cpufreq schedutil37.038.739.0P-State performance54.060.765.0P-State powersave36.038.339.0OpenBenchmarking.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 1080pintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave120240360480600SE +/- 1.99, N = 11SE +/- 3.58, N = 15SE +/- 0.97, N = 11SE +/- 1.12, N = 9574.88345.48576.99258.651. (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 performanceintel_cpufreq schedutilP-State performanceP-State powersave0.66111.32221.98332.64443.30552.5172.9382.5412.638
MinAvgMaxintel_cpufreq performance340034033404intel_cpufreq schedutil230026973403P-State performance340034033405P-State powersave80119222302OpenBenchmarking.orgMegahertz, More Is BetterSVT-HEVC 1.5.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance161.5228.4274.5intel_cpufreq schedutil56.9117.6166.9P-State performance149.6227.0275.3P-State powersave53.698.1138.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor701402102803501. intel_cpufreq performance: Approximate power consumption of 311 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 196 Joules per run.3. P-State performance: Approximate power consumption of 310 Joules per run.4. P-State powersave: Approximate power consumption of 174 Joules per run.
MinAvgMaxintel_cpufreq performance48.050.360.0intel_cpufreq schedutil37.039.044.0P-State performance47.048.957.0P-State powersave31.033.136.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave100200300400500SE +/- 3.11, N = 13SE +/- 2.47, N = 15SE +/- 4.77, N = 15SE +/- 1.53, N = 7457.02260.25453.67206.541. (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 performanceintel_cpufreq schedutilP-State performanceP-State powersave0.46710.93421.40131.86842.33551.9192.0761.9221.939
MinAvgMaxintel_cpufreq performance340034033405intel_cpufreq schedutil80124303396P-State performance340334033405P-State powersave80117142305OpenBenchmarking.orgMegahertz, More Is BetterSVT-VP9 0.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance158.6238.2290.6intel_cpufreq schedutil64.8125.4194.5P-State performance171.6236.0292.6P-State powersave53.7106.5160.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor701402102803501. intel_cpufreq performance: Approximate power consumption of 385 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 251 Joules per run.3. P-State performance: Approximate power consumption of 362 Joules per run.4. P-State powersave: Approximate power consumption of 243 Joules per run.
MinAvgMaxintel_cpufreq performance47.049.055.0intel_cpufreq schedutil36.039.343.0P-State performance46.048.055.0P-State powersave30.032.136.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave100200300400500SE +/- 2.50, N = 10SE +/- 2.52, N = 15SE +/- 2.03, N = 10SE +/- 1.16, N = 7464.71262.78460.44210.921. (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 performanceintel_cpufreq schedutilP-State performanceP-State powersave0.45720.91441.37161.82882.2861.9992.0321.9922.029
MinAvgMaxintel_cpufreq performance340334033405intel_cpufreq schedutil230025563404P-State performance340334033404P-State powersave80118002300OpenBenchmarking.orgMegahertz, More Is BetterSVT-VP9 0.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance176.9232.4289.1intel_cpufreq schedutil61.7129.3201.5P-State performance152.0231.2283.3P-State powersave53.7104.0158.2OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor701402102803501. intel_cpufreq performance: Approximate power consumption of 372 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 259 Joules per run.3. P-State performance: Approximate power consumption of 347 Joules per run.4. P-State powersave: Approximate power consumption of 223 Joules per run.
MinAvgMaxintel_cpufreq performance47.048.655.0intel_cpufreq schedutil36.038.543.0P-State performance46.047.953.0P-State powersave30.031.333.0OpenBenchmarking.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: Points2Imageintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave3K6K9K12K15KSE +/- 100.42, N = 15SE +/- 115.67, N = 12SE +/- 114.27, N = 15SE +/- 86.30, N = 313249.687077.7613527.246634.581. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2Imageintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave122436486050.2945.6751.3642.62
MinAvgMaxintel_cpufreq performance340134033407intel_cpufreq schedutil87126123399P-State performance340034033410P-State powersave80226203390OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance154.1263.4299.3intel_cpufreq schedutil60.9155.0248.1P-State performance160.0263.4291.5P-State powersave80.0155.7242.9OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor801602403204001. intel_cpufreq performance: Approximate power consumption of 5585 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 4559 Joules per run.3. P-State performance: Approximate power consumption of 5549 Joules per run.4. P-State powersave: Approximate power consumption of 4670 Joules per run.
MinAvgMaxintel_cpufreq performance48.054.163.0intel_cpufreq schedutil37.041.747.0P-State performance46.051.954.0P-State powersave35.037.542.0OpenBenchmarking.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 4Kintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave1326395265SE +/- 0.31, N = 4SE +/- 0.47, N = 3SE +/- 0.24, N = 4SE +/- 0.20, N = 356.7535.4856.8930.551. (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 4Kintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.04390.08780.13170.17560.21950.1850.1830.1860.195
MinAvgMaxintel_cpufreq performance340034033406intel_cpufreq schedutil230027423405P-State performance340034033408P-State powersave80121692307OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 0.8.7CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance162.8306.0496.1intel_cpufreq schedutil74.6193.4332.0P-State performance185.5305.7490.5P-State powersave56.4156.5236.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption Monitor1302603905206501. intel_cpufreq performance: Approximate power consumption of 1377 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1289 Joules per run.3. P-State performance: Approximate power consumption of 1375 Joules per run.4. P-State powersave: Approximate power consumption of 1200 Joules per run.
MinAvgMaxintel_cpufreq performance47.053.864.0intel_cpufreq schedutil44.048.353.0P-State performance48.053.263.0P-State powersave39.042.447.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave70140210280350SE +/- 1.23, N = 10SE +/- 1.34, N = 15SE +/- 0.58, N = 10SE +/- 1.49, N = 8309.13193.80305.77168.381. (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 1080pintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.32870.65740.98611.31481.64351.2161.4491.1981.461
MinAvgMaxintel_cpufreq performance340034033405intel_cpufreq schedutil142924503400P-State performance340334033403P-State powersave80115992308OpenBenchmarking.orgMegahertz, More Is BetterSVT-HEVC 1.5.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance175.6254.1330.5intel_cpufreq schedutil68.6133.7182.9P-State performance193.9255.3332.3P-State powersave54.7115.2180.8OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor801602403204001. intel_cpufreq performance: Approximate power consumption of 407 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 267 Joules per run.3. P-State performance: Approximate power consumption of 383 Joules per run.4. P-State powersave: Approximate power consumption of 245 Joules per run.
MinAvgMaxintel_cpufreq performance50.053.160.0intel_cpufreq schedutil39.043.248.0P-State performance49.051.358.0P-State powersave33.036.840.0OpenBenchmarking.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 Compileintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave20406080100SE +/- 0.28, N = 3SE +/- 0.49, N = 3SE +/- 0.18, N = 3SE +/- 0.95, N = 348.6553.0048.1675.61
MinAvgMaxintel_cpufreq performance300333743409intel_cpufreq schedutil98732463407P-State performance310033683410P-State powersave80229353406OpenBenchmarking.orgMegahertz, More Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance160.0344.2580.4intel_cpufreq schedutil67.5304.2563.4P-State performance179.1342.3599.5P-State powersave75.2239.0575.6OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 4131 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 4158 Joules per run.3. P-State performance: Approximate power consumption of 4107 Joules per run.4. P-State powersave: Approximate power consumption of 4541 Joules per run.
MinAvgMaxintel_cpufreq performance49.057.070.0intel_cpufreq schedutil32.053.668.0P-State performance44.054.967.0P-State powersave33.044.363.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave20M40M60M80M100MSE +/- 497134.18, N = 3SE +/- 444572.22, N = 3SE +/- 57856.16, N = 3SE +/- 799905.44, N = 41067046417799762810605645871974438MIN: 1343151 / MAX: 909146052MIN: 1380198 / MAX: 693620172MIN: 1396156 / MAX: 908416224MIN: 1304623 / MAX: 672770484
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolumeintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave90K180K270K360K450K436355.85418290.31438562.32424481.55
MinAvgMaxintel_cpufreq performance340034053410intel_cpufreq schedutil143030763408P-State performance340334033408P-State powersave80128663407OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance171.6244.5315.4intel_cpufreq schedutil69.4186.5255.9P-State performance150.8241.8326.7P-State powersave70.7169.6254.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor801602403204001. intel_cpufreq performance: Approximate power consumption of 2934 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 2424 Joules per run.3. P-State performance: Approximate power consumption of 2983 Joules per run.4. P-State powersave: Approximate power consumption of 2204 Joules per run.
MinAvgMaxintel_cpufreq performance50.052.667.0intel_cpufreq schedutil41.044.955.0P-State performance47.049.859.0P-State powersave38.042.952.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave6M12M18M24M30MSE +/- 349026.46, N = 15SE +/- 38895.86, N = 3SE +/- 268896.33, N = 15SE +/- 47580.68, N = 330016318235992492999653921722326MIN: 979586 / MAX: 253907928MIN: 1060641 / MAX: 156949416MIN: 979600 / MAX: 247803840MIN: 1031810 / MAX: 151043112
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave30K60K90K120K150K126322.91118699.08125723.06123147.50
MinAvgMaxintel_cpufreq performance340034043410intel_cpufreq schedutil170232413405P-State performance340234043411P-State powersave80129933400OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance160.5237.6341.6intel_cpufreq schedutil71.3198.8249.7P-State performance147.7238.6361.2P-State powersave70.7176.4222.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor1002003004005001. intel_cpufreq performance: Approximate power consumption of 3992 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 3446 Joules per run.3. P-State performance: Approximate power consumption of 4024 Joules per run.4. P-State powersave: Approximate power consumption of 2999 Joules per run.
MinAvgMaxintel_cpufreq performance45.046.958.0intel_cpufreq schedutil42.048.156.0P-State performance46.050.562.0P-State powersave43.047.655.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave918273645SE +/- 0.20, N = 3SE +/- 0.41, N = 3SE +/- 0.22, N = 3SE +/- 0.28, N = 1530.0131.9930.3537.471. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxintel_cpufreq performance340334053410intel_cpufreq schedutil142132853409P-State performance340334063442P-State powersave80132103409OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance166.8314.9476.7intel_cpufreq schedutil68.2281.5459.7P-State performance151.5312.4462.5P-State powersave68.2268.1414.9OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor1202403604806001. intel_cpufreq performance: Approximate power consumption of 2519 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 2440 Joules per run.3. P-State performance: Approximate power consumption of 2500 Joules per run.4. P-State powersave: Approximate power consumption of 2628 Joules per run.
MinAvgMaxintel_cpufreq performance55.061.973.0intel_cpufreq schedutil35.055.169.0P-State performance51.053.858.0P-State powersave35.054.171.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave2004006008001000SE +/- 1.25, N = 3SE +/- 9.84, N = 15SE +/- 2.39, N = 3SE +/- 7.84, N = 151021.62884.751020.77831.331. (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 Clusterintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave1.02352.0473.07054.0945.11753.8164.4913.7784.549
MinAvgMaxintel_cpufreq performance340334033404intel_cpufreq schedutil139129723405P-State performance340334033406P-State powersave80128753406OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance209.8267.7311.3intel_cpufreq schedutil75.6197.0300.8P-State performance211.6270.2317.9P-State powersave62.2182.8261.7OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor801602403204001. intel_cpufreq performance: Approximate power consumption of 1517 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1340 Joules per run.3. P-State performance: Approximate power consumption of 1621 Joules per run.4. P-State powersave: Approximate power consumption of 1304 Joules per run.
MinAvgMaxintel_cpufreq performance47.049.952.0intel_cpufreq schedutil41.046.450.0P-State performance47.049.352.0P-State powersave37.041.447.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave2004006008001000SE +/- 2.40, N = 3SE +/- 8.72, N = 3SE +/- 2.67, N = 3SE +/- 2.19, N = 3821718811670MIN: 1 / MAX: 3226MIN: 1 / MAX: 3134MIN: 1 / MAX: 3166MIN: 1 / MAX: 2830
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.82241.64482.46723.28964.1122.9143.6552.8963.536
MinAvgMaxintel_cpufreq performance300233883424intel_cpufreq schedutil80127083426P-State performance300233793428P-State powersave80127643436OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance177.1281.8555.7intel_cpufreq schedutil72.2196.4369.2P-State performance176.7280.1541.6P-State powersave66.8189.5352.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor1402804205607001. intel_cpufreq performance: Approximate power consumption of 29679 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 30579 Joules per run.3. P-State performance: Approximate power consumption of 30530 Joules per run.4. P-State powersave: Approximate power consumption of 30316 Joules per run.
MinAvgMaxintel_cpufreq performance51.056.669.0intel_cpufreq schedutil42.047.961.0P-State performance48.054.265.0P-State powersave38.043.556.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave9K18K27K36K45KSE +/- 61.65, N = 3SE +/- 352.77, N = 3SE +/- 117.93, N = 3SE +/- 711.79, N = 1233581.335239.033656.341126.8
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 performance149.4516.0608.7intel_cpufreq schedutil190.6514.3606.9P-State performance202.3520.5620.3P-State powersave131.0517.4615.0OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 7569 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 7543 Joules per run.3. P-State performance: Approximate power consumption of 7287 Joules per run.4. P-State powersave: Approximate power consumption of 7545 Joules per run.
MinAvgMaxintel_cpufreq performance50.068.873.0intel_cpufreq schedutil51.067.471.0P-State performance55.069.173.0P-State powersave50.068.372.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave612182430SE +/- 0.19, N = 7SE +/- 0.19, N = 14SE +/- 0.24, N = 5SE +/- 0.38, N = 1521.4122.1921.4924.88
MinAvgMaxintel_cpufreq performance287032693408intel_cpufreq schedutil230132603408P-State performance277132903409P-State powersave80124553405OpenBenchmarking.orgMegahertz, More Is BetterTimed Linux Kernel Compilation 5.10.20CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance180338641intel_cpufreq schedutil81319635P-State performance167337635P-State powersave59255630OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20CPU Power Consumption Monitor20040060080010001. intel_cpufreq performance: Approximate power consumption of 2272 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 2231 Joules per run.3. P-State performance: Approximate power consumption of 2358 Joules per run.4. P-State powersave: Approximate power consumption of 2214 Joules per run.
MinAvgMaxintel_cpufreq performance51.059.269.0intel_cpufreq schedutil45.057.970.0P-State performance50.057.668.0P-State powersave40.051.966.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave306090120150SE +/- 0.00, N = 9SE +/- 0.00, N = 9142.86125.00142.86125.00MIN: 31.25MIN: 29.41 / MAX: 142.86MIN: 31.25MIN: 30.3 / MAX: 142.86
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.13750.2750.41250.550.68750.5130.5280.5200.611
MinAvgMaxintel_cpufreq performance264033163405intel_cpufreq schedutil220730533404P-State performance340034033408P-State powersave80120123400OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance155.8278.3386.1intel_cpufreq schedutil95.1236.6359.0P-State performance153.5274.6384.7P-State powersave92.4204.5351.9OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1002003004005001. intel_cpufreq performance: Approximate power consumption of 495 Joules per run.2. P-State performance: Approximate power consumption of 488 Joules per run.
MinAvgMaxintel_cpufreq performance56.060.371.0intel_cpufreq schedutil53.057.669.0P-State performance55.059.670.0P-State powersave51.054.867.0OpenBenchmarking.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 Compileintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave20406080100SE +/- 0.49, N = 3SE +/- 0.27, N = 3SE +/- 0.15, N = 3SE +/- 0.59, N = 391.0891.8690.85102.20
MinAvgMaxintel_cpufreq performance278031473406intel_cpufreq schedutil220031313408P-State performance280631503408P-State powersave80129473408OpenBenchmarking.orgMegahertz, More Is BetterTimed Node.js Compilation 15.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance191428625intel_cpufreq schedutil131414632P-State performance153427615P-State powersave75367608OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 15.11CPU Power Consumption Monitor20040060080010001. intel_cpufreq performance: Approximate power consumption of 9135 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 9119 Joules per run.3. P-State performance: Approximate power consumption of 9247 Joules per run.4. P-State powersave: Approximate power consumption of 9294 Joules per run.
MinAvgMaxintel_cpufreq performance54.065.575.0intel_cpufreq schedutil49.064.775.0P-State performance52.066.276.0P-State powersave44.061.075.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave1632486480SE +/- 0.34, N = 5SE +/- 0.18, N = 5SE +/- 0.18, N = 5SE +/- 0.21, N = 574.2467.7574.0666.53MIN: 64.44 / MAX: 93.9MIN: 60.74 / MAX: 88.34MIN: 64.5 / MAX: 94.28MIN: 59.75 / MAX: 87.7
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Crownintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.04480.08960.13440.17920.2240.1810.1990.1850.183
MinAvgMaxintel_cpufreq performance272330983409intel_cpufreq schedutil180026593400P-State performance268530943404P-State powersave80123842984OpenBenchmarking.orgMegahertz, More Is BetterEmbree 3.13CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance191.2410.3575.3intel_cpufreq schedutil121.3340.0510.0P-State performance198.9399.5489.3P-State powersave109.8362.7513.8OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor1402804205607001. intel_cpufreq performance: Approximate power consumption of 1231 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1088 Joules per run.3. P-State performance: Approximate power consumption of 1199 Joules per run.4. P-State powersave: Approximate power consumption of 1088 Joules per run.
MinAvgMaxintel_cpufreq performance54.065.571.0intel_cpufreq schedutil53.062.569.0P-State performance53.064.471.0P-State powersave50.060.567.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave20K40K60K80K100KSE +/- 63.65, N = 7SE +/- 807.72, N = 7SE +/- 83.85, N = 7SE +/- 842.11, N = 7100763.1191970.99100543.7290989.731. (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.Cintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave60120180240300293.75280.10285.10296.44
MinAvgMaxintel_cpufreq performance229432983405intel_cpufreq schedutil217632233405P-State performance320233593403P-State powersave80124993300OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance177.4343.0548.2intel_cpufreq schedutil116.2328.4543.4P-State performance172.6352.7574.1P-State powersave76.0306.9553.3OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1402804205607001. intel_cpufreq performance: Approximate power consumption of 735 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 844 Joules per run.3. P-State performance: Approximate power consumption of 806 Joules per run.4. P-State powersave: Approximate power consumption of 789 Joules per run.
MinAvgMaxintel_cpufreq performance55.061.268.0intel_cpufreq schedutil49.056.567.0P-State performance57.062.970.0P-State powersave48.055.363.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave20406080100SE +/- 0.00, N = 3SE +/- 0.00, N = 3100.0090.91100.0090.91MIN: 55.56 / MAX: 111.11MIN: 47.62 / MAX: 100MIN: 62.5 / MAX: 111.11MIN: 58.82 / MAX: 100
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.10040.20080.30120.40160.5020.4400.4410.4420.446
MinAvgMaxintel_cpufreq performance258533643404intel_cpufreq schedutil230232833406P-State performance340034033404P-State powersave80232183401OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance178.3227.4428.3intel_cpufreq schedutil91.4206.0408.3P-State performance166.4226.3422.1P-State powersave112.6203.9296.9OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1102203304405501. intel_cpufreq schedutil: Approximate power consumption of 1511 Joules per run.2. P-State powersave: Approximate power consumption of 1427 Joules per run.
MinAvgMaxintel_cpufreq performance51.053.155.0intel_cpufreq schedutil47.052.761.0P-State performance49.051.554.0P-State powersave48.051.061.0OpenBenchmarking.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.Bintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave30K60K90K120K150KSE +/- 133.35, N = 9SE +/- 203.66, N = 8SE +/- 134.33, N = 9SE +/- 480.22, N = 8123176.72115501.41123544.09114946.461. (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.Bintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave100200300400500372.37441.37369.71458.43
MinAvgMaxintel_cpufreq performance340134033403intel_cpufreq schedutil229931863403P-State performance310133863404P-State powersave80225843301OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance196.0330.8404.0intel_cpufreq schedutil103.8261.7454.3P-State performance151.7334.2435.1P-State powersave104.7250.7444.1OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1202403604806001. intel_cpufreq performance: Approximate power consumption of 662 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 523 Joules per run.3. P-State performance: Approximate power consumption of 668 Joules per run.4. P-State powersave: Approximate power consumption of 501 Joules per run.
MinAvgMaxintel_cpufreq performance55.061.869.0intel_cpufreq schedutil50.052.755.0P-State performance55.062.270.0P-State powersave49.052.259.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.Cintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave40K80K120K160K200KSE +/- 495.98, N = 4SE +/- 196.76, N = 4SE +/- 364.13, N = 4SE +/- 1423.68, N = 4186973.06177878.68187300.47174911.021. (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.Cintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave100200300400500445.54467.72440.34478.36
MinAvgMaxintel_cpufreq performance310432883403intel_cpufreq schedutil187231463404P-State performance310532673403P-State powersave80228843300OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance195.4419.7579.6intel_cpufreq schedutil134.8380.3554.5P-State performance190.2425.4593.0P-State powersave84.6365.6554.0OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 1574 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1521 Joules per run.3. P-State performance: Approximate power consumption of 1595 Joules per run.4. P-State powersave: Approximate power consumption of 1463 Joules per run.
MinAvgMaxintel_cpufreq performance54.065.272.0intel_cpufreq schedutil47.060.768.0P-State performance55.066.673.0P-State powersave47.058.869.0OpenBenchmarking.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 Speedintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave1122334455SE +/- 0.20, N = 3SE +/- 0.46, N = 6SE +/- 0.21, N = 3SE +/- 0.32, N = 1548.346.149.146.71. (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: AUSURF112intel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave30060090012001500SE +/- 17.96, N = 9SE +/- 22.92, N = 9SE +/- 1.74, N = 3SE +/- 19.34, N = 91175.691156.491178.521106.691. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgMegahertz, More Is BetterQuantum ESPRESSO 6.7CPU Peak Freq (Highest CPU Core Frequency) Monitorintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave6001200180024003000Min: 3104 / Avg: 3274.2 / Max: 3471Min: 1730 / Avg: 3291.57 / Max: 3413Min: 3103 / Avg: 3296.48 / Max: 3518Min: 801 / Avg: 3232.42 / Max: 3439
OpenBenchmarking.orgWatts, Fewer Is BetterQuantum ESPRESSO 6.7CPU Power Consumption Monitorintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave110220330440550Min: 175.37 / Avg: 445.55 / Max: 632.58Min: 103.54 / Avg: 441.63 / Max: 586.01Min: 160.57 / Avg: 445.81 / Max: 620.76Min: 79.28 / Avg: 433.06 / Max: 589.041. intel_cpufreq performance: Approximate power consumption of 121338 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 121202 Joules per run.3. P-State performance: Approximate power consumption of 123045 Joules per run.4. P-State powersave: Approximate power consumption of 113750 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterQuantum ESPRESSO 6.7CPU Temperature Monitorintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave1530456075Min: 47 / Avg: 66.29 / Max: 78Min: 46 / Avg: 65.52 / Max: 77Min: 48 / Avg: 64.61 / Max: 75Min: 43 / Avg: 64.58 / Max: 79

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 Speedintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave20406080100SE +/- 0.32, N = 3SE +/- 0.75, N = 15SE +/- 0.75, N = 15SE +/- 0.55, N = 383.181.586.782.71. (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 performanceintel_cpufreq schedutilP-State performanceP-State powersave0.65931.31861.97792.63723.2965SE +/- 0.00, N = 5SE +/- 0.03, N = 15SE +/- 0.01, N = 5SE +/- 0.00, N = 42.932.782.932.85
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160intel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.0020.0040.0060.0080.010.0080.0090.0080.009
MinAvgMaxintel_cpufreq performance293132863405intel_cpufreq schedutil108828543403P-State performance263632233404P-State powersave80120263174OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 1.4.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance158.5349.7562.6intel_cpufreq schedutil59.7321.9551.2P-State performance154.8346.3560.7P-State powersave84.7307.4558.3OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor1402804205607001. intel_cpufreq performance: Approximate power consumption of 1259 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1202 Joules per run.3. P-State performance: Approximate power consumption of 1247 Joules per run.4. P-State powersave: Approximate power consumption of 1153 Joules per run.
MinAvgMaxintel_cpufreq performance55.062.772.0intel_cpufreq schedutil50.060.172.0P-State performance55.062.173.0P-State powersave49.058.168.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave714212835SE +/- 0.15, N = 3SE +/- 0.27, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 328.2829.2528.4029.72
MinAvgMaxintel_cpufreq performance278631273405intel_cpufreq schedutil279231073406P-State performance279331403408P-State powersave80127043408OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance159452618intel_cpufreq schedutil149437595P-State performance161451609P-State powersave147424635OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption Monitor20040060080010001. intel_cpufreq performance: Approximate power consumption of 3466 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 3498 Joules per run.3. P-State performance: Approximate power consumption of 3455 Joules per run.4. P-State powersave: Approximate power consumption of 3393 Joules per run.
MinAvgMaxintel_cpufreq performance56.069.475.0intel_cpufreq schedutil56.068.474.0P-State performance56.068.674.0P-State powersave53.067.675.0OpenBenchmarking.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 Dragonintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave20406080100SE +/- 0.56, N = 6SE +/- 0.80, N = 6SE +/- 0.42, N = 6SE +/- 0.79, N = 6106.17102.70107.63106.62MIN: 84.09 / MAX: 112.29MIN: 81.43 / MAX: 111.73MIN: 88.63 / MAX: 112.78MIN: 84.26 / MAX: 112.87
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragonintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.0650.130.1950.260.3250.2640.2740.2740.289
MinAvgMaxintel_cpufreq performance265131443405intel_cpufreq schedutil138126033400P-State performance266631383403P-State powersave80123773012OpenBenchmarking.orgMegahertz, More Is BetterEmbree 3.13CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance166.4402.7597.3intel_cpufreq schedutil157.4374.6575.1P-State performance154.3392.3597.7P-State powersave141.2368.4592.4OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 1007 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 999 Joules per run.3. P-State performance: Approximate power consumption of 981 Joules per run.4. P-State powersave: Approximate power consumption of 982 Joules per run.
MinAvgMaxintel_cpufreq performance56.065.372.0intel_cpufreq schedutil57.065.471.0P-State performance55.063.771.0P-State powersave52.062.470.0OpenBenchmarking.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 Makefilesintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave4080120160200SE +/- 0.59, N = 3SE +/- 1.14, N = 3SE +/- 1.07, N = 3SE +/- 1.18, N = 3191.80191.17190.69199.40
MinAvgMaxintel_cpufreq performance219633113413intel_cpufreq schedutil230232993410P-State performance284333193409P-State powersave80230953407OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 12.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance185393629intel_cpufreq schedutil89370606P-State performance184392610P-State powersave76346598OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 12.0CPU Power Consumption Monitor20040060080010001. intel_cpufreq performance: Approximate power consumption of 18456 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 18646 Joules per run.3. P-State performance: Approximate power consumption of 18410 Joules per run.4. P-State powersave: Approximate power consumption of 18937 Joules per run.
MinAvgMaxintel_cpufreq performance50.064.476.0intel_cpufreq schedutil42.062.975.0P-State performance49.064.676.0P-State powersave40.060.376.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave48121620SE +/- 0.01, N = 3SE +/- 0.14, N = 7SE +/- 0.15, N = 15SE +/- 0.06, N = 314.4915.0714.7914.921. (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 performance300332313408intel_cpufreq schedutil196631393404P-State performance300332273409P-State powersave80228363400OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 8CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance152395641intel_cpufreq schedutil91350570P-State performance158384578P-State powersave94309570OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor20040060080010001. intel_cpufreq performance: Approximate power consumption of 2762 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 2753 Joules per run.3. P-State performance: Approximate power consumption of 2714 Joules per run.4. P-State powersave: Approximate power consumption of 2571 Joules per run.
MinAvgMaxintel_cpufreq performance52.061.871.0intel_cpufreq schedutil46.059.571.0P-State performance54.064.374.0P-State powersave43.053.267.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave2K4K6K8K10KSE +/- 38.79, N = 4SE +/- 22.19, N = 3SE +/- 60.08, N = 13SE +/- 65.72, N = 38938.098634.308920.108620.971. (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.Dintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave51015202519.3320.0819.4920.74
MinAvgMaxintel_cpufreq performance300531583404intel_cpufreq schedutil80229453403P-State performance300131443403P-State powersave80125913011OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance184.4462.4576.1intel_cpufreq schedutil72.0429.9565.8P-State performance165.5457.8585.0P-State powersave68.1415.6569.8OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 2312 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 2150 Joules per run.3. P-State performance: Approximate power consumption of 2289 Joules per run.4. P-State powersave: Approximate power consumption of 2217 Joules per run.
MinAvgMaxintel_cpufreq performance50.066.574.0intel_cpufreq schedutil38.057.968.0P-State performance51.069.276.0P-State powersave37.055.367.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave400K800K1200K1600K2000KSE +/- 4355.52, N = 3SE +/- 4960.83, N = 3SE +/- 8888.13, N = 3SE +/- 19689.28, N = 31809667174801718038401757269MIN: 24362 / MAX: 5849692MIN: 13879 / MAX: 5825120MIN: 24013 / MAX: 5810552MIN: 18102 / MAX: 5872318
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave160032004800640080006326.147409.476287.407267.58
MinAvgMaxintel_cpufreq performance340334043432intel_cpufreq schedutil143332083416P-State performance340334043424P-State powersave80132623422OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance150.1286.1358.4intel_cpufreq schedutil61.0235.9281.7P-State performance166.0286.9341.6P-State powersave56.5241.8276.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor1002003004005001. intel_cpufreq performance: Approximate power consumption of 56259 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 52924 Joules per run.3. P-State performance: Approximate power consumption of 56614 Joules per run.4. P-State powersave: Approximate power consumption of 51825 Joules per run.
MinAvgMaxintel_cpufreq performance48.055.762.0intel_cpufreq schedutil40.052.162.0P-State performance46.053.960.0P-State powersave39.050.056.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave40K80K120K160K200KSE +/- 230.36, N = 4SE +/- 322.38, N = 4SE +/- 313.16, N = 4SE +/- 416.58, N = 4197821.88191705.02197815.31191166.411. (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 performanceintel_cpufreq schedutilP-State performanceP-State powersave100200300400500445.67475.18454.64473.91
MinAvgMaxintel_cpufreq performance310732833406intel_cpufreq schedutil153431593405P-State performance310732683404P-State powersave80230133300OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance137.8443.9612.4intel_cpufreq schedutil62.8403.4562.6P-State performance142.1435.1592.6P-State powersave62.1403.4562.2OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 1997 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 2017 Joules per run.3. P-State performance: Approximate power consumption of 1958 Joules per run.4. P-State powersave: Approximate power consumption of 2017 Joules per run.
MinAvgMaxintel_cpufreq performance36.055.668.0intel_cpufreq schedutil28.052.366.0P-State performance36.056.067.0P-State powersave28.050.765.0OpenBenchmarking.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: SciVisintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave306090120150SE +/- 1.26, N = 15SE +/- 0.00, N = 8SE +/- 1.64, N = 15SE +/- 0.00, N = 8112.96111.11114.81111.11MIN: 26.32 / MAX: 125MIN: 22.73MIN: 24.39 / MAX: 125MIN: 22.22
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.12850.2570.38550.5140.64250.3700.5700.3650.571
MinAvgMaxintel_cpufreq performance220933213403intel_cpufreq schedutil101922693267P-State performance296833633404P-State powersave80119862628OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance154.4305.6423.6intel_cpufreq schedutil70.1194.9328.7P-State performance174.6314.4422.6P-State powersave69.6194.7334.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1102203304405501. intel_cpufreq performance: Approximate power consumption of 489 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 390 Joules per run.3. P-State performance: Approximate power consumption of 503 Joules per run.4. P-State powersave: Approximate power consumption of 365 Joules per run.
MinAvgMaxintel_cpufreq performance45.054.165.0intel_cpufreq schedutil43.047.757.0P-State performance46.054.064.0P-State powersave41.045.654.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave20406080100SE +/- 0.20, N = 3SE +/- 0.55, N = 3SE +/- 0.34, N = 3SE +/- 0.44, N = 3104.51107.39105.10107.73
MinAvgMaxintel_cpufreq performance289230143408intel_cpufreq schedutil230129763406P-State performance290430103405P-State powersave80229363405OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance171511631intel_cpufreq schedutil140492619P-State performance188512623P-State powersave93490623OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption Monitor20040060080010001. intel_cpufreq performance: Approximate power consumption of 12430 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 12784 Joules per run.3. P-State performance: Approximate power consumption of 12977 Joules per run.4. P-State powersave: Approximate power consumption of 12902 Joules per run.
MinAvgMaxintel_cpufreq performance55.071.075.0intel_cpufreq schedutil52.070.276.0P-State performance54.071.976.0P-State powersave49.069.875.0OpenBenchmarking.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.Dintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave6001200180024003000SE +/- 5.86, N = 4SE +/- 32.51, N = 4SE +/- 15.07, N = 4SE +/- 29.00, N = 42978.522926.263014.772999.721. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.Dintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave2468107.7848.2207.7458.745
MinAvgMaxintel_cpufreq performance310532793403intel_cpufreq schedutil310232313405P-State performance320232823403P-State powersave80127613307OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance191.3382.7557.9intel_cpufreq schedutil121.9356.0540.0P-State performance189.4389.2549.9P-State powersave89.1343.0549.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1402804205607001. intel_cpufreq performance: Approximate power consumption of 1531 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1691 Joules per run.3. P-State performance: Approximate power consumption of 1557 Joules per run.4. P-State powersave: Approximate power consumption of 1715 Joules per run.
MinAvgMaxintel_cpufreq performance59.066.574.0intel_cpufreq schedutil50.061.669.0P-State performance57.061.668.0P-State powersave50.062.373.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave30K60K90K120K150KSE +/- 209.39, N = 10SE +/- 233.06, N = 10SE +/- 89.79, N = 10SE +/- 333.81, N = 10120124.05117869.49120084.27116754.161. (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.Cintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave150300450600750427.24540.22412.87680.15
MinAvgMaxintel_cpufreq performance334833993405intel_cpufreq schedutil230030853404P-State performance340034023404P-State powersave80119413057OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance188.3281.2385.2intel_cpufreq schedutil78.8218.2471.0P-State performance151.1290.9431.5P-State powersave95.5171.7333.1OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1202403604806001. intel_cpufreq performance: Approximate power consumption of 450 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 393 Joules per run.3. P-State performance: Approximate power consumption of 465 Joules per run.4. P-State powersave: Approximate power consumption of 343 Joules per run.
MinAvgMaxintel_cpufreq performance54.057.464.0intel_cpufreq schedutil46.051.761.0P-State performance50.052.960.0P-State powersave44.050.159.0OpenBenchmarking.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 V4intel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave150K300K450K600K750KSE +/- 6399.11, N = 3SE +/- 2013.17, N = 3SE +/- 2267.77, N = 3SE +/- 5220.61, N = 3677421672254663707682153
MinAvgMaxintel_cpufreq performance302931433403intel_cpufreq schedutil303131383407P-State performance303331343404P-State powersave80230023210OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance194.4518.9616.9intel_cpufreq schedutil188.1514.1611.8P-State performance201.4519.2613.3P-State powersave142.3503.7615.6OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 7437 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 7540 Joules per run.3. P-State performance: Approximate power consumption of 7615 Joules per run.4. P-State powersave: Approximate power consumption of 7220 Joules per run.
MinAvgMaxintel_cpufreq performance56.073.276.0intel_cpufreq schedutil53.070.274.0P-State performance56.072.175.0P-State powersave55.071.174.0OpenBenchmarking.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 Compileintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave510152025SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 318.5218.7518.5018.98
MinAvgMaxintel_cpufreq performance304133643406intel_cpufreq schedutil80231343404P-State performance294833463407P-State powersave80129183404OpenBenchmarking.orgMegahertz, More Is BetterTimed Mesa Compilation 21.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance189.9301.5617.0intel_cpufreq schedutil65.1271.5488.7P-State performance171.9313.3623.7P-State powersave80.3259.4495.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 21.0CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 1508 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1629 Joules per run.3. P-State performance: Approximate power consumption of 1671 Joules per run.4. P-State powersave: Approximate power consumption of 1556 Joules per run.
MinAvgMaxintel_cpufreq performance52.057.367.0intel_cpufreq schedutil46.054.365.0P-State performance52.056.268.0P-State powersave43.052.063.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave20406080100SE +/- 0.14, N = 3SE +/- 0.38, N = 3SE +/- 0.48, N = 3SE +/- 0.41, N = 389.4987.9989.0987.21MIN: 71.05 / MAX: 98.17MIN: 70.3 / MAX: 98.24MIN: 70.73 / MAX: 97.89MIN: 69.09 / MAX: 97.86
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon Objintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.06910.13820.20730.27640.34550.2890.3000.2910.307
MinAvgMaxintel_cpufreq performance269132333410intel_cpufreq schedutil110029953404P-State performance266832153405P-State powersave80130303404OpenBenchmarking.orgMegahertz, More Is BetterEmbree 3.13CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance151.5310.0582.8intel_cpufreq schedutil128.2293.2576.1P-State performance163.0305.7571.3P-State powersave102.3284.4554.8OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 1963 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1857 Joules per run.3. P-State performance: Approximate power consumption of 1834 Joules per run.4. P-State powersave: Approximate power consumption of 1801 Joules per run.
MinAvgMaxintel_cpufreq performance55.058.868.0intel_cpufreq schedutil54.058.870.0P-State performance54.057.567.0P-State powersave52.056.466.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave1.08612.17223.25834.34445.4305SE +/- 0.019, N = 8SE +/- 0.014, N = 8SE +/- 0.036, N = 8SE +/- 0.041, N = 154.7294.7104.7464.8271. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxintel_cpufreq performance340334033404intel_cpufreq schedutil222633333403P-State performance340334033404P-State powersave80124103406OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance194.1298.0490.6intel_cpufreq schedutil184.6297.3483.2P-State performance193.7311.0390.8P-State powersave119.5287.3496.8OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor1302603905206501. intel_cpufreq performance: Approximate power consumption of 596 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 632 Joules per run.3. P-State performance: Approximate power consumption of 622 Joules per run.4. P-State powersave: Approximate power consumption of 575 Joules per run.
MinAvgMaxintel_cpufreq performance52.055.965.0intel_cpufreq schedutil49.053.563.0P-State performance54.059.668.0P-State powersave48.053.063.0OpenBenchmarking.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, Statelessintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave9K18K27K36K45KSE +/- 83.53, N = 3SE +/- 380.67, N = 7SE +/- 274.68, N = 3SE +/- 341.07, N = 9423384174342389414211. (CC) gcc options: -lstdc++ -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2
OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: OPTIONS, Statelessintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave4080120160200160.57166.04163.09174.15
MinAvgMaxintel_cpufreq performance340334083435intel_cpufreq schedutil90833573409P-State performance340334073413P-State powersave80131653408OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance183.3263.7291.9intel_cpufreq schedutil67.5251.4286.7P-State performance181.0259.9289.3P-State powersave68.2237.8275.4OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption Monitor701402102803501. intel_cpufreq performance: Approximate power consumption of 3340 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 3232 Joules per run.3. P-State performance: Approximate power consumption of 3292 Joules per run.4. P-State powersave: Approximate power consumption of 3066 Joules per run.
MinAvgMaxintel_cpufreq performance48.052.861.0intel_cpufreq schedutil34.054.764.0P-State performance43.044.549.0P-State powersave32.041.244.0OpenBenchmarking.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 CPUintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave2K4K6K8K10KSE +/- 24.06, N = 3SE +/- 65.66, N = 3SE +/- 25.12, N = 3SE +/- 58.56, N = 1283808334839282121. (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 CPUintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave51015202519.8719.6719.9219.43
MinAvgMaxintel_cpufreq performance294430123403intel_cpufreq schedutil294330083403P-State performance294330043403P-State powersave80129743005OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance155.3421.8507.2intel_cpufreq schedutil185.5423.7515.2P-State performance190.2421.2500.4P-State powersave138.0422.6516.0OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor1302603905206501. intel_cpufreq performance: Approximate power consumption of 11529 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 11297 Joules per run.3. P-State performance: Approximate power consumption of 11654 Joules per run.4. P-State powersave: Approximate power consumption of 11269 Joules per run.
MinAvgMaxintel_cpufreq performance52.060.362.0intel_cpufreq schedutil54.063.865.0P-State performance55.063.064.0P-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.Cintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave9K18K27K36K45KSE +/- 69.22, N = 8SE +/- 42.28, N = 8SE +/- 113.89, N = 8SE +/- 83.38, N = 740226.0239430.6640261.2639485.721. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.Cintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave306090120150117.69128.90116.28137.13
MinAvgMaxintel_cpufreq performance320233423403intel_cpufreq schedutil230131853404P-State performance320033713404P-State powersave80124403304OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance182.4341.8554.4intel_cpufreq schedutil70.7305.9510.9P-State performance178.9346.2549.4P-State powersave56.5287.9551.8OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1402804205607001. intel_cpufreq performance: Approximate power consumption of 684 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 688 Joules per run.3. P-State performance: Approximate power consumption of 736 Joules per run.4. P-State powersave: Approximate power consumption of 699 Joules per run.
MinAvgMaxintel_cpufreq performance52.057.164.0intel_cpufreq schedutil43.051.962.0P-State performance48.057.867.0P-State powersave41.049.661.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave0.65931.31861.97792.63723.2965SE +/- 0.01, N = 5SE +/- 0.02, N = 4SE +/- 0.01, N = 5SE +/- 0.01, N = 42.932.882.932.87
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160intel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.0020.0040.0060.0080.010.0090.0090.0080.009
MinAvgMaxintel_cpufreq performance290032863404intel_cpufreq schedutil212530503403P-State performance286133193404P-State powersave80121203300OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 1.4.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance179.4341.8560.5intel_cpufreq schedutil89.9324.7557.4P-State performance159.5346.4561.4P-State powersave71.7336.6551.4OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor1402804205607001. intel_cpufreq performance: Approximate power consumption of 1230 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1218 Joules per run.3. P-State performance: Approximate power consumption of 1247 Joules per run.4. P-State powersave: Approximate power consumption of 1094 Joules per run.
MinAvgMaxintel_cpufreq performance54.060.269.0intel_cpufreq schedutil50.059.872.0P-State performance52.059.869.0P-State powersave46.056.967.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave918273645SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.20, N = 3SE +/- 0.17, N = 340.8340.0740.6540.141. (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
MinAvgMaxintel_cpufreq performance300230233403intel_cpufreq schedutil220030033403P-State performance300230253403P-State powersave80229883390OpenBenchmarking.orgMegahertz, More Is BetterHigh Performance Conjugate Gradient 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance185.0529.9567.5intel_cpufreq schedutil148.5526.9567.0P-State performance192.8531.4567.4P-State powersave101.0525.4566.6OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption Monitor1402804205607001. intel_cpufreq performance: Approximate power consumption of 24023 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 24587 Joules per run.3. P-State performance: Approximate power consumption of 23737 Joules per run.4. P-State powersave: Approximate power consumption of 24345 Joules per run.
MinAvgMaxintel_cpufreq performance45.066.575.0intel_cpufreq schedutil43.067.076.0P-State performance46.066.474.0P-State powersave37.066.675.0OpenBenchmarking.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 performanceP-State powersave6001200180024003000SE +/- 4.37, N = 3SE +/- 4.60, N = 15SE +/- 5.29, N = 15SE +/- 16.96, N = 32609.72594.72561.82563.21. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression Speedintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave369121510.02610.9319.74010.980
MinAvgMaxintel_cpufreq performance340334043407intel_cpufreq schedutil100733113413P-State performance340034043411P-State powersave80132973408OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.5.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance149.9260.3397.2intel_cpufreq schedutil67.8237.4377.1P-State performance150.3263.0417.7P-State powersave67.7233.5355.4OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption Monitor1102203304405501. intel_cpufreq performance: Approximate power consumption of 3037 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 2943 Joules per run.3. P-State performance: Approximate power consumption of 3051 Joules per run.4. P-State powersave: Approximate power consumption of 2801 Joules per run.
MinAvgMaxintel_cpufreq performance46.047.353.0intel_cpufreq schedutil37.053.065.0P-State performance46.048.159.0P-State powersave33.042.555.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave40M80M120M160M200MSE +/- 2150017.23, N = 3SE +/- 1451422.61, N = 15SE +/- 1592768.45, N = 3SE +/- 1103002.46, N = 31786294741754461821771314281770311221. (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 Timeintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave80K160K240K320K400K380770.10368173.69378389.79392264.24
MinAvgMaxintel_cpufreq performance297431053405intel_cpufreq schedutil217330603404P-State performance298731063406P-State powersave80126523002OpenBenchmarking.orgMegahertz, More Is BetterStockfish 13CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance194.9469.1622.5intel_cpufreq schedutil88.3476.5620.1P-State performance201.4468.1625.2P-State powersave90.8451.3621.5OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 13CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 2971 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 3145 Joules per run.3. P-State performance: Approximate power consumption of 2965 Joules per run.4. P-State powersave: Approximate power consumption of 2858 Joules per run.
MinAvgMaxintel_cpufreq performance53.069.376.0intel_cpufreq schedutil47.070.576.0P-State performance49.066.173.0P-State powersave47.065.874.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave918273645SE +/- 0.47, N = 3SE +/- 0.18, N = 3SE +/- 0.13, N = 3SE +/- 0.23, N = 339.7539.2039.4239.821. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxintel_cpufreq performance280829973407intel_cpufreq schedutil112828803405P-State performance280930113408P-State powersave80128193406OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance182463633intel_cpufreq schedutil139464629P-State performance184457637P-State powersave117449619OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor20040060080010001. intel_cpufreq performance: Approximate power consumption of 4323 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 4327 Joules per run.3. P-State performance: Approximate power consumption of 4570 Joules per run.4. P-State powersave: Approximate power consumption of 4491 Joules per run.
MinAvgMaxintel_cpufreq performance50.069.077.0intel_cpufreq schedutil46.068.177.0P-State performance52.069.176.0P-State powersave46.066.675.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave4080120160200SE +/- 0.29, N = 3SE +/- 1.89, N = 3SE +/- 0.44, N = 3SE +/- 2.36, N = 31971941941961. (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 CPUintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.10040.20080.30120.40160.5020.4400.4340.4350.446
MinAvgMaxintel_cpufreq performance285529403404intel_cpufreq schedutil217729193404P-State performance286629513404P-State powersave80128803400OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance204.1447.9541.1intel_cpufreq schedutil111.1447.2540.9P-State performance156.5446.0541.2P-State powersave99.4439.7539.2OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor1402804205607001. intel_cpufreq performance: Approximate power consumption of 11943 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 11924 Joules per run.3. P-State performance: Approximate power consumption of 12042 Joules per run.4. P-State powersave: Approximate power consumption of 11580 Joules per run.
MinAvgMaxintel_cpufreq performance49.063.568.0intel_cpufreq schedutil52.066.471.0P-State performance54.068.174.0P-State powersave51.066.774.0OpenBenchmarking.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: Ninjaintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave306090120150SE +/- 0.45, N = 3SE +/- 0.14, N = 3SE +/- 0.50, N = 3SE +/- 0.40, N = 3127.33127.69127.32129.27
MinAvgMaxintel_cpufreq performance277530973409intel_cpufreq schedutil180230713407P-State performance277631083408P-State powersave80128703404OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 12.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance156.8431.5617.0intel_cpufreq schedutil79.9401.9622.4P-State performance178.6430.6612.2P-State powersave71.4379.5618.6OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 12.0CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 13808 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 13664 Joules per run.3. P-State performance: Approximate power consumption of 13636 Joules per run.4. P-State powersave: Approximate power consumption of 13916 Joules per run.
MinAvgMaxintel_cpufreq performance51.066.978.0intel_cpufreq schedutil44.063.676.0P-State performance50.066.080.0P-State powersave42.062.077.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave100200300400500SE +/- 0.73, N = 3SE +/- 5.29, N = 3SE +/- 5.43, N = 3SE +/- 2.02, N = 34764834834801. (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 CPUintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.24120.48240.72360.96481.2061.0541.0681.0631.072
MinAvgMaxintel_cpufreq performance292729963406intel_cpufreq schedutil292229753405P-State performance293029923404P-State powersave80229043007OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance207.9451.6544.9intel_cpufreq schedutil124.6452.1549.9P-State performance179.5454.5548.4P-State powersave154.5447.7550.4OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor1402804205607001. intel_cpufreq performance: Approximate power consumption of 12193 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 11905 Joules per run.3. P-State performance: Approximate power consumption of 12271 Joules per run.4. P-State powersave: Approximate power consumption of 11939 Joules per run.
MinAvgMaxintel_cpufreq performance51.061.663.0intel_cpufreq schedutil55.069.072.0P-State performance57.068.673.0P-State powersave54.068.172.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave0.3150.630.9451.261.575SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.401.381.401.38
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
MinAvgMaxintel_cpufreq performance280432473403intel_cpufreq schedutil230130893404P-State performance285133133411P-State powersave80121873299OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 1.4.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance186.9380.7559.6intel_cpufreq schedutil92.3363.8561.6P-State performance151.6384.8559.5P-State powersave75.2357.4558.0OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor1402804205607001. intel_cpufreq performance: Approximate power consumption of 2284 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 2304 Joules per run.3. P-State performance: Approximate power consumption of 2309 Joules per run.4. P-State powersave: Approximate power consumption of 2145 Joules per run.
MinAvgMaxintel_cpufreq performance53.062.872.0intel_cpufreq schedutil48.063.072.0P-State performance52.061.372.0P-State powersave45.060.372.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave1632486480SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 371.2272.2471.2772.17
MinAvgMaxintel_cpufreq performance277429183405intel_cpufreq schedutil220028563403P-State performance277529303405P-State powersave80128013400OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance195518638intel_cpufreq schedutil113508624P-State performance164516627P-State powersave98508636OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption Monitor20040060080010001. intel_cpufreq performance: Approximate power consumption of 8631 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 8799 Joules per run.3. P-State performance: Approximate power consumption of 8775 Joules per run.4. P-State powersave: Approximate power consumption of 8464 Joules per run.
MinAvgMaxintel_cpufreq performance57.073.478.0intel_cpufreq schedutil52.072.578.0P-State performance57.073.077.0P-State powersave50.071.876.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave10002000300040005000SE +/- 11.74, N = 4SE +/- 36.10, N = 4SE +/- 24.52, N = 4SE +/- 10.80, N = 44574.834510.294539.994538.691. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterArrayFire 3.7Test: BLAS CPUintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave369121512.3312.4612.1712.87
MinAvgMaxintel_cpufreq performance223333383433intel_cpufreq schedutil330033863408P-State performance340334073437P-State powersave80230513408OpenBenchmarking.orgMegahertz, More Is BetterArrayFire 3.7CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance162.2371.0504.1intel_cpufreq schedutil142.1362.1489.2P-State performance193.5373.0497.4P-State powersave151.4352.8502.8OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7CPU Power Consumption Monitor1302603905206501. intel_cpufreq performance: Approximate power consumption of 1577 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1539 Joules per run.3. P-State performance: Approximate power consumption of 1492 Joules per run.4. P-State powersave: Approximate power consumption of 1499 Joules per run.
MinAvgMaxintel_cpufreq performance47.054.663.0intel_cpufreq schedutil46.050.962.0P-State performance47.052.163.0P-State powersave44.052.161.0OpenBenchmarking.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 Streamclusterintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave246810SE +/- 0.076, N = 6SE +/- 0.044, N = 6SE +/- 0.078, N = 15SE +/- 0.058, N = 157.7277.7127.8167.7101. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxintel_cpufreq performance300032613404intel_cpufreq schedutil142031523403P-State performance300032863411P-State powersave80125483405OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance189.0331.2492.1intel_cpufreq schedutil69.0316.0481.9P-State performance150.9343.8499.3P-State powersave55.0332.0522.3OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor1302603905206501. intel_cpufreq performance: Approximate power consumption of 938 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 843 Joules per run.3. P-State performance: Approximate power consumption of 940 Joules per run.4. P-State powersave: Approximate power consumption of 907 Joules per run.
MinAvgMaxintel_cpufreq performance54.059.264.0intel_cpufreq schedutil46.058.065.0P-State performance52.057.664.0P-State powersave39.054.863.0OpenBenchmarking.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 Directionintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave3691215SE +/- 0.02, N = 4SE +/- 0.01, N = 4SE +/- 0.05, N = 4SE +/- 0.03, N = 411.0611.2111.0611.191. (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 performance300232053405intel_cpufreq schedutil300331523405P-State performance300431773403P-State powersave80226973075OpenBenchmarking.orgMegahertz, More Is BetterXcompact3d Incompact3d 2021-03-11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance160.8422.8573.1intel_cpufreq schedutil180.2396.0567.6P-State performance214.2429.1570.9P-State powersave111.3393.9566.7OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor1402804205607001. intel_cpufreq performance: Approximate power consumption of 1691 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1584 Joules per run.3. P-State performance: Approximate power consumption of 1716 Joules per run.4. P-State powersave: Approximate power consumption of 1575 Joules per run.
MinAvgMaxintel_cpufreq performance52.060.965.0intel_cpufreq schedutil51.058.465.0P-State performance51.060.466.0P-State powersave46.056.966.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave6001200180024003000SE +/- 2.06, N = 3SE +/- 8.19, N = 6SE +/- 9.19, N = 3SE +/- 4.94, N = 152713.12693.42677.92711.61. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression Speedintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave369121511.3112.2011.1012.48
MinAvgMaxintel_cpufreq performance340334043410intel_cpufreq schedutil141633323409P-State performance340334043409P-State powersave80132883409OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.5.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance179.5239.9319.4intel_cpufreq schedutil56.0220.9303.6P-State performance150.3241.4314.1P-State powersave69.3217.3300.8OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption Monitor801602403204001. intel_cpufreq performance: Approximate power consumption of 2639 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 2503 Joules per run.3. P-State performance: Approximate power consumption of 2655 Joules per run.4. P-State powersave: Approximate power consumption of 2477 Joules per run.
MinAvgMaxintel_cpufreq performance46.048.056.0intel_cpufreq schedutil44.049.953.0P-State performance46.047.350.0P-State powersave39.047.451.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave3691215SE +/- 0.011, N = 3SE +/- 0.035, N = 3SE +/- 0.048, N = 3SE +/- 0.038, N = 39.1029.0429.0528.9991. (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 performance290331643404intel_cpufreq schedutil223130643403P-State performance290031413403P-State powersave80228363400OpenBenchmarking.orgMegahertz, More Is BetterGROMACS 2021.2CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance155465570intel_cpufreq schedutil178461571P-State performance71461575P-State powersave63445722OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2021.2CPU Power Consumption Monitor20040060080010001. intel_cpufreq performance: Approximate power consumption of 5119 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 4914 Joules per run.3. P-State performance: Approximate power consumption of 5076 Joules per run.4. P-State powersave: Approximate power consumption of 4893 Joules per run.
MinAvgMaxintel_cpufreq performance52.062.871.0intel_cpufreq schedutil53.067.476.0P-State performance52.066.676.0P-State powersave48.063.174.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave816243240SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 335.8535.7935.8335.501. (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 performance300030183403intel_cpufreq schedutil300230153403P-State performance300030183403P-State powersave80229813204OpenBenchmarking.orgMegahertz, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance189.0534.9577.7intel_cpufreq schedutil149.4532.5567.5P-State performance191.2535.5569.6P-State powersave124.1531.5568.5OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption Monitor1402804205607001. intel_cpufreq performance: Approximate power consumption of 31023 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 31065 Joules per run.3. P-State performance: Approximate power consumption of 31419 Joules per run.4. P-State powersave: Approximate power consumption of 31360 Joules per run.
MinAvgMaxintel_cpufreq performance50.072.074.0intel_cpufreq schedutil51.069.872.0P-State performance49.071.076.0P-State powersave48.071.275.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave20406080100SE +/- 0.16, N = 3SE +/- 0.38, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3104.27105.10104.76105.031. (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 performance300231703409intel_cpufreq schedutil220931573405P-State performance300231713413P-State powersave80130533405OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 8CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance172.9415.8568.3intel_cpufreq schedutil125.3401.3568.2P-State performance153.9418.2568.3P-State powersave81.1392.5569.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor1402804205607001. intel_cpufreq performance: Approximate power consumption of 16634 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 16587 Joules per run.3. P-State performance: Approximate power consumption of 17286 Joules per run.4. P-State powersave: Approximate power consumption of 16748 Joules per run.
MinAvgMaxintel_cpufreq performance46.062.976.0intel_cpufreq schedutil45.062.575.0P-State performance46.062.474.0P-State powersave44.060.875.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave700M1400M2100M2800M3500MSE +/- 5955109.85, N = 3SE +/- 1071343.91, N = 3SE +/- 2605762.84, N = 3SE +/- 12922117.13, N = 330967000003082533333308510000030739333331. (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 performanceintel_cpufreq schedutilP-State performanceP-State powersave1.4M2.8M4.2M5.6M7M6658045.416576582.796607333.416650836.15
MinAvgMaxintel_cpufreq performance295630693403intel_cpufreq schedutil295930713404P-State performance295830713403P-State powersave80128363000OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance196.4465.1607.4intel_cpufreq schedutil169.3468.7615.2P-State performance196.5466.9607.3P-State powersave157.2462.2625.0OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 2636 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 2656 Joules per run.3. P-State performance: Approximate power consumption of 2646 Joules per run.4. P-State powersave: Approximate power consumption of 2465 Joules per run.
MinAvgMaxintel_cpufreq performance55.069.975.0intel_cpufreq schedutil55.070.575.0P-State performance55.070.574.0P-State powersave52.069.775.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave700M1400M2100M2800M3500MSE +/- 5329477.77, N = 3SE +/- 4817445.15, N = 3SE +/- 6806124.69, N = 3SE +/- 10910901.79, N = 332934000003291466667329300000032701333331. (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 performanceintel_cpufreq schedutilP-State performanceP-State powersave1.5M3M4.5M6M7.5M6985743.487058626.647053355.326911581.20
MinAvgMaxintel_cpufreq performance218330003408intel_cpufreq schedutil288030663403P-State performance299030963405P-State powersave80228733008OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance168.0471.4579.0intel_cpufreq schedutil157.2466.3582.9P-State performance148.2466.9588.2P-State powersave101.4473.1582.5OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 2672 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 2642 Joules per run.3. P-State performance: Approximate power consumption of 2490 Joules per run.4. P-State powersave: Approximate power consumption of 2681 Joules per run.
MinAvgMaxintel_cpufreq performance53.068.273.0intel_cpufreq schedutil49.067.974.0P-State performance51.068.074.0P-State powersave47.067.473.0OpenBenchmarking.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 Tracerintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 310.3110.3110.3110.38MIN: 8.26 / MAX: 10.75MIN: 7.75 / MAX: 10.53MIN: 8.33 / MAX: 10.75MIN: 8.06 / MAX: 10.53
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path Tracerintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.00540.01080.01620.02160.0270.0230.0230.0230.024
MinAvgMaxintel_cpufreq performance251028153404intel_cpufreq schedutil217528033403P-State performance251128553403P-State powersave80126043400OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance189.9449.5597.2intel_cpufreq schedutil164.3440.0605.9P-State performance160.8444.9606.8P-State powersave142.0430.1597.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 2847 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 2933 Joules per run.3. P-State performance: Approximate power consumption of 2966 Joules per run.4. P-State powersave: Approximate power consumption of 3011 Joules per run.
MinAvgMaxintel_cpufreq performance54.067.875.0intel_cpufreq schedutil53.067.775.0P-State performance53.067.474.0P-State powersave48.064.673.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path Tracerintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave3691215SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 310.4210.3810.4510.42MIN: 7.14 / MAX: 10.64MIN: 7.69 / MAX: 10.53MIN: 7.94 / MAX: 10.75MIN: 7.69 / MAX: 10.64
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path Tracerintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.00720.01440.02160.02880.0360.0300.0310.0310.032
MinAvgMaxintel_cpufreq performance252231013404intel_cpufreq schedutil230229873406P-State performance252531113407P-State powersave80228933405OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance155.3347.7589.2intel_cpufreq schedutil73.2331.0607.4P-State performance149.2340.5585.7P-State powersave59.2323.6599.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 4057 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 3752 Joules per run.3. P-State performance: Approximate power consumption of 3859 Joules per run.4. P-State powersave: Approximate power consumption of 3775 Joules per run.
MinAvgMaxintel_cpufreq performance50.059.572.0intel_cpufreq schedutil45.058.972.0P-State performance48.057.870.0P-State powersave43.055.869.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave0.06130.12260.18390.24520.3065SE +/- 0.00021, N = 3SE +/- 0.00043, N = 3SE +/- 0.00055, N = 3SE +/- 0.00040, N = 30.270510.272270.271680.27093
MinAvgMaxintel_cpufreq performance292231153403intel_cpufreq schedutil294230943404P-State performance294631243403P-State powersave80128833010OpenBenchmarking.orgMegahertz, More Is BetterNAMD 2.14CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance162459635intel_cpufreq schedutil145429609P-State performance189456636P-State powersave129477647OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor20040060080010001. intel_cpufreq performance: Approximate power consumption of 2449 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 2288 Joules per run.3. P-State performance: Approximate power consumption of 2280 Joules per run.4. P-State powersave: Approximate power consumption of 3813 Joules per run.
MinAvgMaxintel_cpufreq performance54.065.470.0intel_cpufreq schedutil51.063.469.0P-State performance54.065.369.0P-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 performanceintel_cpufreq schedutilP-State performanceP-State powersave20K40K60K80K100KSE +/- 55.17, N = 4SE +/- 142.93, N = 3SE +/- 159.72, N = 4SE +/- 139.83, N = 391830.5691642.3391817.7691313.601. (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 performanceintel_cpufreq schedutilP-State performanceP-State powersave50100150200250201.24223.98203.56220.93
MinAvgMaxintel_cpufreq performance310332413403intel_cpufreq schedutil180131143403P-State performance310232703404P-State powersave80229893302OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance191.4456.3597.0intel_cpufreq schedutil94.7409.2564.8P-State performance193.4451.1596.8P-State powersave95.4413.3571.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 2282 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 2182 Joules per run.3. P-State performance: Approximate power consumption of 2255 Joules per run.4. P-State powersave: Approximate power consumption of 2067 Joules per run.
MinAvgMaxintel_cpufreq performance54.067.372.0intel_cpufreq schedutil45.060.669.0P-State performance55.066.773.0P-State powersave46.060.068.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave4008001200160020001882.21880.01888.21882.31. (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 performance300330183409intel_cpufreq schedutil230030153409P-State performance300330173409P-State powersave80130073409OpenBenchmarking.orgMegahertz, More Is BetterNWChem 7.0.2CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance213.9516.6594.5intel_cpufreq schedutil130.4515.2593.0P-State performance213.6516.6576.3P-State powersave82.9514.5622.8OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption Monitor160320480640800
MinAvgMaxintel_cpufreq performance58.070.777.0intel_cpufreq schedutil53.070.576.0P-State performance55.070.579.0P-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
MinAvgMaxintel_cpufreq performance290830023403intel_cpufreq schedutil150129893403P-State performance294130073403P-State powersave80129653200OpenBenchmarking.orgMegahertz, More Is BetterRELION 3.1.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance150.2534.9618.2intel_cpufreq schedutil65.2534.0616.2P-State performance169.7535.5615.0P-State powersave66.9530.9618.2OpenBenchmarking.orgWatts, Fewer Is BetterRELION 3.1.1CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 43508 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 43072 Joules per run.3. P-State performance: Approximate power consumption of 43372 Joules per run.4. P-State powersave: Approximate power consumption of 43004 Joules per run.
MinAvgMaxintel_cpufreq performance50.067.676.0intel_cpufreq schedutil37.067.376.0P-State performance49.068.076.0P-State powersave32.067.977.0OpenBenchmarking.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
MinAvgMaxintel_cpufreq performance300033243410intel_cpufreq schedutil230333053406P-State performance300033343408P-State powersave80232773406OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance179.6264.8537.0intel_cpufreq schedutil102.4256.6517.5P-State performance149.6264.0525.2P-State powersave82.7251.2526.1OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor1402804205607001. intel_cpufreq performance: Approximate power consumption of 6532 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 6501 Joules per run.3. P-State performance: Approximate power consumption of 6600 Joules per run.4. P-State powersave: Approximate power consumption of 6363 Joules per run.
MinAvgMaxintel_cpufreq performance45.051.162.0intel_cpufreq schedutil47.056.067.0P-State performance47.052.462.0P-State powersave47.054.665.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave120K240K360K480K600KSE +/- 491.89, N = 3SE +/- 1875.50, N = 3SE +/- 2262.00, N = 3SE +/- 1289.77, N = 3572679571632572149572065
MinAvgMaxintel_cpufreq performance300530683403intel_cpufreq schedutil240230383404P-State performance300330593403P-State powersave80129023050OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance154517637intel_cpufreq schedutil133512626P-State performance152516640P-State powersave149511635OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor20040060080010001. intel_cpufreq performance: Approximate power consumption of 7237 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 7336 Joules per run.3. P-State performance: Approximate power consumption of 7402 Joules per run.4. P-State powersave: Approximate power consumption of 7330 Joules per run.
MinAvgMaxintel_cpufreq performance52.071.876.0intel_cpufreq schedutil49.069.573.0P-State performance54.071.776.0P-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 performanceintel_cpufreq schedutilP-State performanceP-State powersave2K4K6K8K10K9875.269889.919885.569892.421. (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) Monitorintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave6001200180024003000Min: 2950 / Avg: 3010.05 / Max: 3403Min: 2904 / Avg: 3009.83 / Max: 3400Min: 2953 / Avg: 3010.99 / Max: 3403Min: 938 / Avg: 3009.34 / Max: 3537
OpenBenchmarking.orgWatts, Fewer Is BetterWRF 4.2.2CPU Power Consumption Monitorintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave100200300400500Min: 152.56 / Avg: 535.01 / Max: 577.46Min: 153.97 / Avg: 535.42 / Max: 576.31Min: 170.31 / Avg: 533.23 / Max: 579.12Min: 143.32 / Avg: 534.46 / Max: 576.03
OpenBenchmarking.orgCelsius, Fewer Is BetterWRF 4.2.2CPU Temperature Monitorintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave1428425670Min: 55 / Avg: 69.28 / Max: 74Min: 55 / Avg: 70.13 / Max: 74Min: 55 / Avg: 67.24 / Max: 74Min: 52 / Avg: 68.72 / 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 performanceintel_cpufreq schedutilP-State performanceP-State powersave60120180240300SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3289.98290.42290.14290.411. (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 performance300230193403intel_cpufreq schedutil221330143403P-State performance300230193403P-State powersave80129693313OpenBenchmarking.orgMegahertz, More Is BetterXcompact3d Incompact3d 2021-03-11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance180.8533.5577.7intel_cpufreq schedutil95.3533.2570.3P-State performance185.0533.6582.5P-State powersave138.7530.0567.2OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 37343 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 37498 Joules per run.3. P-State performance: Approximate power consumption of 37349 Joules per run.4. P-State powersave: Approximate power consumption of 37451 Joules per run.
MinAvgMaxintel_cpufreq performance50.068.273.0intel_cpufreq schedutil48.067.174.0P-State performance50.068.273.0P-State powersave49.065.874.0OpenBenchmarking.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 performanceintel_cpufreq schedutilP-State performanceP-State powersave0.01730.03460.05190.06920.08650.0710.0770.0720.075
MinAvgMaxintel_cpufreq performance250830323405intel_cpufreq schedutil251429713403P-State performance247329913404P-State powersave80123703400OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance152.7394.0593.4intel_cpufreq schedutil81.8361.3543.3P-State performance189.3387.6594.0P-State powersave67.6368.0608.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 1261 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1156 Joules per run.3. P-State performance: Approximate power consumption of 1240 Joules per run.4. P-State powersave: Approximate power consumption of 1251 Joules per run.
MinAvgMaxintel_cpufreq performance54.063.872.0intel_cpufreq schedutil47.060.870.0P-State performance52.063.371.0P-State powersave45.058.969.0OpenBenchmarking.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: SciVisintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.01150.0230.03450.0460.05750.0460.0480.0470.051
MinAvgMaxintel_cpufreq performance251730703408intel_cpufreq schedutil220229493404P-State performance252530003407P-State powersave80124263400OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance206.0414.6603.2intel_cpufreq schedutil68.1393.1604.2P-State performance151.3403.8607.2P-State powersave67.5367.6594.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 1762 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1769 Joules per run.3. P-State performance: Approximate power consumption of 1716 Joules per run.4. P-State powersave: Approximate power consumption of 1654 Joules per run.
MinAvgMaxintel_cpufreq performance48.061.772.0intel_cpufreq schedutil37.057.870.0P-State performance48.060.070.0P-State powersave33.053.466.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System Monitoringintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave1530456075Min: 36 / Avg: 63.47 / Max: 78Min: 28 / Avg: 59.65 / Max: 78Min: 36 / Avg: 62.03 / Max: 80Min: 28 / Avg: 58.72 / Max: 79

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System Monitoringintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave130260390520650Min: 137.84 / Avg: 417.23 / Max: 641.13Min: 53.9 / Avg: 368.68 / Max: 634.98Min: 70.83 / Avg: 413.76 / Max: 639.8Min: 53.58 / Avg: 371.79 / Max: 722.02

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System Monitoringintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave6001200180024003000Min: 2162 / Avg: 3195.19 / Max: 3483Min: 801 / Avg: 3003.21 / Max: 3442Min: 2195 / Avg: 3186.64 / Max: 3518Min: 801 / Avg: 2883.69 / Max: 3537

PostgreSQL pgbench

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

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

MinAvgMaxintel_cpufreq performance219033563436intel_cpufreq schedutil95833173442P-State performance300033663407P-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 Latencyintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.06480.12960.19440.25920.324SE +/- 0.006, N = 15SE +/- 0.005, N = 15SE +/- 0.003, N = 3SE +/- 0.002, N = 150.2880.2850.2710.2771. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxintel_cpufreq performance219033563436intel_cpufreq schedutil95833173442P-State performance300033663407P-State powersave80130223437OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance148.8257.7600.3intel_cpufreq schedutil65.3245.6612.1P-State performance161.8257.1600.0P-State powersave55.0231.4606.4OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 6374 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 6189 Joules per run.3. P-State performance: Approximate power consumption of 6428 Joules per run.4. P-State powersave: Approximate power consumption of 5970 Joules per run.
MinAvgMaxintel_cpufreq performance49.055.267.0intel_cpufreq schedutil41.051.365.0P-State performance45.048.562.0P-State powersave39.050.866.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Onlyintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave200K400K600K800K1000KSE +/- 16646.22, N = 15SE +/- 15445.86, N = 15SE +/- 9754.80, N = 3SE +/- 7359.52, N = 158764628853799241909064341. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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

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

MinAvgMaxintel_cpufreq performance300033623441intel_cpufreq schedutil165233023405P-State performance300033553413P-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 Latencyintel_cpufreq performanceintel_cpufreq schedutilP-State 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 performance300033623441intel_cpufreq schedutil165233023405P-State performance300033553413P-State powersave80128213436OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance148.4260.2604.2intel_cpufreq schedutil68.6244.4617.1P-State performance150.4256.1607.4P-State powersave55.2180.9370.2OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 6506 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 6110 Joules per run.3. P-State performance: Approximate power consumption of 6232 Joules per run.4. P-State powersave: Approximate power consumption of 4704 Joules per run.
MinAvgMaxintel_cpufreq performance50.054.067.0intel_cpufreq schedutil37.047.162.0P-State performance45.048.663.0P-State powersave39.045.355.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read Onlyintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave300K600K900K1200K1500KSE +/- 3615.78, N = 3SE +/- 11834.71, N = 3SE +/- 5304.66, N = 3SE +/- 8388.30, N = 151231983122857012367133933291. (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 performance53.068.274.0P-State powersave44.065.974.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 2021.01.31CPU Temperature Monitor20406080100

MinAvgMaxintel_cpufreq performance212.4477.3581.1intel_cpufreq schedutil75.6466.6591.2P-State performance178.1479.6584.3P-State powersave57.2448.6567.9OpenBenchmarking.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: 57intel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave1.4M2.8M4.2M5.6M7M6437714.606436493.636392760.376754065.39

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57intel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave700M1400M2100M2800M3500MSE +/- 8774394.57, N = 3SE +/- 69564540.69, N = 12SE +/- 5500404.03, N = 3SE +/- 19182283.49, N = 330726000003003125000306613333330299000001. (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: 57intel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave1.4M2.8M4.2M5.6M7M6437714.606436493.636392760.376754065.39
MinAvgMaxintel_cpufreq performance310032423403intel_cpufreq schedutil182332163407P-State performance310232143404P-State powersave80128433300OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance212.4477.3581.1intel_cpufreq schedutil75.6466.6591.2P-State performance178.1479.6584.3P-State powersave57.2448.6567.9OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 2705 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 2644 Joules per run.3. P-State performance: Approximate power consumption of 2718 Joules per run.4. P-State powersave: Approximate power consumption of 2692 Joules per run.
MinAvgMaxintel_cpufreq performance53.064.575.0intel_cpufreq schedutil45.065.976.0P-State performance53.068.274.0P-State powersave44.065.974.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 2021.01.31CPU Temperature Monitor20406080100

PJSIP

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

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

MinAvgMaxintel_cpufreq performance340334053414intel_cpufreq schedutil80117383403P-State performance340034043409P-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: INVITEintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave61218243023.0523.6223.2724.58

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: INVITEintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave12002400360048006000SE +/- 15.21, N = 3SE +/- 50.72, N = 15SE +/- 7.17, N = 3SE +/- 29.86, N = 1554162540539325481. (CC) gcc options: -lstdc++ -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2
OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: INVITEintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave61218243023.0523.6223.2724.58
MinAvgMaxintel_cpufreq performance340334053414intel_cpufreq schedutil80117383403P-State performance340034043409P-State powersave8019633400OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance184.2235.0256.4intel_cpufreq schedutil60.9107.6231.7P-State performance166.8231.8281.1P-State powersave59.1103.7116.6OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption Monitor701402102803501. intel_cpufreq performance: Approximate power consumption of 3917 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1800 Joules per run.3. P-State performance: Approximate power consumption of 3863 Joules per run.4. P-State powersave: Approximate power consumption of 1707 Joules per run.
MinAvgMaxintel_cpufreq performance51.053.557.0intel_cpufreq schedutil32.036.655.0P-State performance44.046.449.0P-State powersave32.033.739.0OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature Monitor1632486480

libavif avifenc

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

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

MinAvgMaxintel_cpufreq performance340334043408intel_cpufreq schedutil80231133405P-State performance340334033404P-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, Losslessintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave246810SE +/- 0.040, N = 6SE +/- 0.124, N = 15SE +/- 0.031, N = 6SE +/- 0.141, N = 157.2768.4867.2488.8331. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxintel_cpufreq performance340334043408intel_cpufreq schedutil80231133405P-State performance340334033404P-State powersave80125453404OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance176.2208.8247.3intel_cpufreq schedutil71.0148.0226.2P-State performance174.7208.8243.2P-State powersave61.8132.4209.6OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor601201802403001. intel_cpufreq performance: Approximate power consumption of 592 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 434 Joules per run.3. P-State performance: Approximate power consumption of 557 Joules per run.4. P-State powersave: Approximate power consumption of 406 Joules per run.
MinAvgMaxintel_cpufreq performance47.049.552.0intel_cpufreq schedutil38.040.743.0P-State performance44.045.346.0P-State powersave36.039.150.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor1530456075

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

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

MinAvgMaxintel_cpufreq performance340334053410intel_cpufreq schedutil80228523404P-State performance340334043410P-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 performanceintel_cpufreq schedutilP-State performanceP-State powersave1.17112.34223.51334.68445.8555SE +/- 0.013, N = 8SE +/- 0.066, N = 15SE +/- 0.014, N = 8SE +/- 0.099, N = 154.3405.1344.3415.2051. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxintel_cpufreq performance340334053410intel_cpufreq schedutil80228523404P-State performance340334043410P-State powersave80124983404OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance149.6209.4244.3intel_cpufreq schedutil58.2142.6217.8P-State performance154.9207.2244.0P-State powersave62.5127.9203.2OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor601201802403001. intel_cpufreq performance: Approximate power consumption of 393 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 304 Joules per run.3. P-State performance: Approximate power consumption of 388 Joules per run.4. P-State powersave: Approximate power consumption of 273 Joules per run.
MinAvgMaxintel_cpufreq performance52.054.156.0intel_cpufreq schedutil40.045.451.0P-State performance46.047.749.0P-State powersave38.041.746.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor1632486480

AOM AV1

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

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

MinAvgMaxintel_cpufreq performance340334043409intel_cpufreq schedutil90829633409P-State performance340034043434P-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 performanceintel_cpufreq schedutilP-State performanceP-State powersave0.00740.01480.02220.02960.0370.0330.0250.0320.031

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4Kintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave3691215SE +/- 0.09, N = 3SE +/- 0.08, N = 12SE +/- 0.03, N = 3SE +/- 0.05, N = 310.014.009.693.941. (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 performanceintel_cpufreq schedutilP-State performanceP-State powersave0.00740.01480.02220.02960.0370.0330.0250.0320.031
MinAvgMaxintel_cpufreq performance340334043409intel_cpufreq schedutil90829633409P-State performance340034043434P-State powersave80122633318OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance188.6303.1339.2intel_cpufreq schedutil64.3160.5249.6P-State performance203.7301.4346.5P-State powersave54.6125.5223.4OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor1002003004005001. intel_cpufreq performance: Approximate power consumption of 6467 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 7958 Joules per run.3. P-State performance: Approximate power consumption of 6531 Joules per run.4. P-State powersave: Approximate power consumption of 6106 Joules per run.
MinAvgMaxintel_cpufreq performance45.047.253.0intel_cpufreq schedutil34.042.858.0P-State performance45.051.662.0P-State powersave31.035.541.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature Monitor20406080100

Rodinia

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

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

MinAvgMaxintel_cpufreq performance340034043417intel_cpufreq schedutil144426853413P-State performance323334033414P-State powersave80123583401OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocyteintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave1530456075SE +/- 0.69, N = 15SE +/- 1.35, N = 15SE +/- 0.64, N = 12SE +/- 0.69, N = 647.1163.2946.3669.051. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxintel_cpufreq performance340034043417intel_cpufreq schedutil144426853413P-State performance323334033414P-State powersave80123583401OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance157.2348.3425.7intel_cpufreq schedutil59.9223.2369.5P-State performance191.0348.5420.4P-State powersave71.3180.5301.3OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor1102203304405501. intel_cpufreq performance: Approximate power consumption of 4179 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 3542 Joules per run.3. P-State performance: Approximate power consumption of 4066 Joules per run.4. P-State powersave: Approximate power consumption of 3129 Joules per run.
MinAvgMaxintel_cpufreq performance58.070.777.0intel_cpufreq schedutil46.055.966.0P-State performance57.071.678.0P-State powersave43.050.559.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

Darmstadt Automotive Parallel Heterogeneous Suite

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

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

MinAvgMaxintel_cpufreq performance340334033405intel_cpufreq schedutil80128383406P-State performance340334043407P-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 Mappingintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.99991.99982.99973.99964.99953.9134.3223.9484.444

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT Mappingintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave2004006008001000SE +/- 4.97, N = 3SE +/- 19.99, N = 14SE +/- 4.79, N = 3SE +/- 18.61, N = 15914.70743.01924.84742.301. (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 Mappingintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.99991.99982.99973.99964.99953.9134.3223.9484.444
MinAvgMaxintel_cpufreq performance340334033405intel_cpufreq schedutil80128383406P-State performance340334043407P-State powersave80128203406OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance148.3233.7287.4intel_cpufreq schedutil73.0171.9241.8P-State performance149.0234.2277.2P-State powersave54.6167.0233.4OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor701402102803501. intel_cpufreq performance: Approximate power consumption of 1558 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1363 Joules per run.3. P-State performance: Approximate power consumption of 1484 Joules per run.4. P-State powersave: Approximate power consumption of 1314 Joules per run.
MinAvgMaxintel_cpufreq performance47.049.650.0intel_cpufreq schedutil40.044.348.0P-State performance46.048.249.0P-State powersave35.038.641.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature Monitor1428425670

ONNX Runtime

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

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

MinAvgMaxintel_cpufreq performance300030283404intel_cpufreq schedutil220230183403P-State performance300030253407P-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 CPUintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.25670.51340.77011.02681.28351.1131.1171.0641.141

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave110220330440550SE +/- 6.15, N = 12SE +/- 8.53, N = 12SE +/- 2.17, N = 3SE +/- 10.98, N = 95035044775091. (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 CPUintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.25670.51340.77011.02681.28351.1131.1171.0641.141
MinAvgMaxintel_cpufreq performance300030283404intel_cpufreq schedutil220230183403P-State performance300030253407P-State powersave80129673401OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance182.9451.8550.2intel_cpufreq schedutil171.1451.4550.5P-State performance154.6448.2538.5P-State powersave134.9446.2551.9OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor1402804205607001. intel_cpufreq performance: Approximate power consumption of 12312 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 12300 Joules per run.3. P-State performance: Approximate power consumption of 12400 Joules per run.4. P-State powersave: Approximate power consumption of 11899 Joules per run.
MinAvgMaxintel_cpufreq performance53.068.271.0intel_cpufreq schedutil53.066.670.0P-State performance54.065.167.0P-State powersave50.064.870.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

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

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

MinAvgMaxintel_cpufreq performance300030233403intel_cpufreq schedutil300030133405P-State performance300030223406P-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 performanceintel_cpufreq schedutilP-State performanceP-State powersave4812162015.0314.6214.4314.99

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave15003000450060007500SE +/- 156.45, N = 12SE +/- 210.11, N = 12SE +/- 200.91, N = 12SE +/- 205.17, N = 1269556756662668981. (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 performanceintel_cpufreq schedutilP-State performanceP-State powersave4812162015.0314.6214.4314.99
MinAvgMaxintel_cpufreq performance300030233403intel_cpufreq schedutil300030133405P-State performance300030223406P-State powersave80129873006OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance175.7462.8568.1intel_cpufreq schedutil196.6462.3560.9P-State performance187.4459.1563.8P-State powersave116.2460.3567.1OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor1402804205607001. intel_cpufreq performance: Approximate power consumption of 12727 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 12713 Joules per run.3. P-State performance: Approximate power consumption of 12663 Joules per run.4. P-State powersave: Approximate power consumption of 12351 Joules per run.
MinAvgMaxintel_cpufreq performance50.066.174.0intel_cpufreq schedutil52.070.675.0P-State performance52.070.575.0P-State powersave53.067.372.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

ArrayFire

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

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

MinAvgMaxintel_cpufreq performance340334043410intel_cpufreq schedutil230332843405P-State performance340334043408P-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 performanceintel_cpufreq schedutilP-State performanceP-State powersave246810SE +/- 0.128, N = 15SE +/- 0.088, N = 15SE +/- 0.068, N = 15SE +/- 0.067, N = 154.0056.4546.1314.2921. (CXX) g++ options: -rdynamic
MinAvgMaxintel_cpufreq performance340334043410intel_cpufreq schedutil230332843405P-State performance340334043408P-State powersave80125703405OpenBenchmarking.orgMegahertz, More Is BetterArrayFire 3.7CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance153.7243.0320.9intel_cpufreq schedutil136.6221.0305.9P-State performance160.3246.2325.3P-State powersave89.3183.1264.3OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7CPU Power Consumption Monitor801602403204001. intel_cpufreq performance: Approximate power consumption of 454 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 427 Joules per run.3. P-State performance: Approximate power consumption of 476 Joules per run.4. P-State powersave: Approximate power consumption of 342 Joules per run.
MinAvgMaxintel_cpufreq performance46.046.949.0intel_cpufreq schedutil42.044.848.0P-State performance46.047.254.0P-State powersave38.041.644.0OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7CPU Temperature Monitor1530456075

NAS Parallel Benchmarks

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

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

MinAvgMaxintel_cpufreq performance340034033409intel_cpufreq schedutil197128763404P-State performance311033813410P-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.Cintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave102030405028.9131.0427.7042.62

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.Cintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave17003400510068008500SE +/- 128.21, N = 15SE +/- 121.94, N = 15SE +/- 165.19, N = 15SE +/- 109.82, N = 127705.446157.587610.186051.901. (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.Cintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave102030405028.9131.0427.7042.62
MinAvgMaxintel_cpufreq performance340034033409intel_cpufreq schedutil197128763404P-State performance311033813410P-State powersave80118763000OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance175.0266.5346.9intel_cpufreq schedutil103.0198.4382.4P-State performance166.2274.7393.6P-State powersave68.7142.0325.6OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1102203304405501. intel_cpufreq performance: Approximate power consumption of 409 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 383 Joules per run.3. P-State performance: Approximate power consumption of 440 Joules per run.4. P-State powersave: Approximate power consumption of 284 Joules per run.
MinAvgMaxintel_cpufreq performance52.055.067.0intel_cpufreq schedutil41.046.655.0P-State performance53.056.067.0P-State powersave39.045.053.0OpenBenchmarking.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.