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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts

Limit displaying results to tests within:

AV1 3 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 4 Tests
C++ Boost Tests 2 Tests
Timed Code Compilation 5 Tests
C/C++ Compiler Tests 10 Tests
CPU Massive 14 Tests
Creator Workloads 12 Tests
Encoding 6 Tests
Fortran Tests 7 Tests
Game Development 4 Tests
HPC - High Performance Computing 16 Tests
LAPACK (Linear Algebra Pack) Tests 4 Tests
Machine Learning 2 Tests
Molecular Dynamics 6 Tests
MPI Benchmarks 5 Tests
Multi-Core 26 Tests
NVIDIA GPU Compute 4 Tests
Intel oneAPI 4 Tests
OpenMPI Tests 11 Tests
Programmer / Developer System Benchmarks 7 Tests
Python Tests 5 Tests
Renderers 2 Tests
Scientific Computing 8 Tests
Server CPU Tests 11 Tests
Video Encoding 6 Tests
Common Workstation Benchmarks 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs
No Box Plots
On Line Graphs With Missing Data, Connect The Line Gaps

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs
Condense Test Profiles With Multiple Version Results Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
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
Invert Hiding All Results Option
  14 Hours, 8 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

P-State powersave

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

P-State performance

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

intel_cpufreq schedutil

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

intel_cpufreq performance

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

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

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

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

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

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

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

WRF

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

OpenBenchmarking.orgSeconds, Fewer Is BetterWRF 4.2.2Input: conus 2.5kmP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance2K4K6K8K10K9892.429889.919885.569875.261. (F9X) gfortran options: -O2 -ftree-vectorize -funroll-loops -ffree-form -fconvert=big-endian -frecord-marker=4 -fallow-invalid-boz -lesmf_time -lwrfio_nf -lnetcdff -lnetcdf -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgMegahertz, More Is BetterWRF 4.2.2CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance6001200180024003000Min: 938 / Avg: 3009.34 / Max: 3537Min: 2904 / Avg: 3009.83 / Max: 3400Min: 2950 / Avg: 3010.05 / Max: 3403Min: 2953 / Avg: 3010.99 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterWRF 4.2.2CPU Power Consumption Monitorintel_cpufreq schedutilintel_cpufreq performanceP-State powersaveP-State performance100200300400500Min: 153.97 / Avg: 535.42 / Max: 576.31Min: 152.56 / Avg: 535.01 / Max: 577.46Min: 143.32 / Avg: 534.46 / Max: 576.03Min: 170.31 / Avg: 533.23 / Max: 579.12
OpenBenchmarking.orgCelsius, Fewer Is BetterWRF 4.2.2CPU Temperature Monitorintel_cpufreq schedutilintel_cpufreq performanceP-State powersaveP-State performance1428425670Min: 55 / Avg: 70.13 / Max: 74Min: 55 / Avg: 69.28 / Max: 74Min: 52 / Avg: 68.72 / Max: 74Min: 55 / Avg: 67.24 / Max: 74

Quantum ESPRESSO

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

OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF112P-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave30060090012001500SE +/- 1.74, N = 3SE +/- 17.96, N = 9SE +/- 22.92, N = 9SE +/- 19.34, N = 91178.521175.691156.491106.691. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgMegahertz, More Is BetterQuantum ESPRESSO 6.7CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveintel_cpufreq performanceintel_cpufreq schedutilP-State performance6001200180024003000Min: 801 / Avg: 3232.42 / Max: 3439Min: 3104 / Avg: 3274.2 / Max: 3471Min: 1730 / Avg: 3291.57 / Max: 3413Min: 3103 / Avg: 3296.48 / Max: 3518
MinAvgMaxP-State performance161446621intel_cpufreq performance175446633intel_cpufreq schedutil104442586P-State powersave79433589OpenBenchmarking.orgWatts, Fewer Is BetterQuantum ESPRESSO 6.7CPU Power Consumption Monitor20040060080010001. P-State performance: Approximate power consumption of 123045 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 121338 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 121202 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

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 schedutilP-State powersaveP-State performanceintel_cpufreq performance400K800K1200K1600K2000KSE +/- 4960.83, N = 3SE +/- 19689.28, N = 3SE +/- 8888.13, N = 3SE +/- 4355.52, N = 31748017175726918038401809667MIN: 13879 / MAX: 5825120MIN: 18102 / MAX: 5872318MIN: 24013 / MAX: 5810552MIN: 24362 / MAX: 5849692
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeP-State performanceintel_cpufreq performanceP-State powersaveintel_cpufreq schedutil160032004800640080006287.406326.147267.587409.47
MinAvgMaxintel_cpufreq schedutil143332083416P-State powersave80132623422intel_cpufreq performance340334043432P-State performance340334043424OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance166.0286.9341.6intel_cpufreq performance150.1286.1358.4P-State powersave56.5241.8276.8intel_cpufreq schedutil61.0235.9281.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor1002003004005001. P-State performance: Approximate power consumption of 56614 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 56259 Joules per run.3. P-State powersave: Approximate power consumption of 51825 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 52924 Joules per run.
MinAvgMaxintel_cpufreq performance48.055.762.0P-State performance46.053.960.0intel_cpufreq schedutil40.052.162.0P-State powersave39.050.056.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU 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 BuckyballP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil4008001200160020001888.21882.31882.21880.01. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2
MinAvgMaxP-State powersave80130073409intel_cpufreq schedutil230030153409P-State performance300330173409intel_cpufreq performance300330183409OpenBenchmarking.orgMegahertz, More Is BetterNWChem 7.0.2CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance213.9516.6594.5P-State performance213.6516.6576.3intel_cpufreq schedutil130.4515.2593.0P-State powersave82.9514.5622.8OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave52.072.478.0intel_cpufreq performance58.070.777.0intel_cpufreq schedutil53.070.576.0P-State performance55.070.579.0OpenBenchmarking.orgCelsius, Fewer Is BetterNWChem 7.0.2CPU 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: vklBenchmarkP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance2004006008001000SE +/- 2.19, N = 3SE +/- 8.72, N = 3SE +/- 2.67, N = 3SE +/- 2.40, N = 3670718811821MIN: 1 / MAX: 2830MIN: 1 / MAX: 3134MIN: 1 / MAX: 3166MIN: 1 / MAX: 3226
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkP-State performanceintel_cpufreq performanceP-State powersaveintel_cpufreq schedutil0.82241.64482.46723.28964.1122.8962.9143.5363.655
MinAvgMaxintel_cpufreq schedutil80127083426P-State powersave80127643436P-State performance300233793428intel_cpufreq performance300233883424OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance177.1281.8555.7P-State performance176.7280.1541.6intel_cpufreq schedutil72.2196.4369.2P-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. P-State performance: Approximate power consumption of 30530 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 30579 Joules per run.4. P-State powersave: Approximate power consumption of 30316 Joules per run.
MinAvgMaxintel_cpufreq performance51.056.669.0P-State performance48.054.265.0intel_cpufreq schedutil42.047.961.0P-State powersave38.043.556.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU 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: super-resolution-10 - Device: OpenMP CPUP-State performanceintel_cpufreq schedutilP-State powersaveintel_cpufreq performance15003000450060007500SE +/- 200.91, N = 12SE +/- 210.11, N = 12SE +/- 205.17, N = 12SE +/- 156.45, N = 1266266756689869551. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUP-State performanceintel_cpufreq schedutilP-State powersaveintel_cpufreq performance4812162014.4314.6214.9915.03
MinAvgMaxP-State powersave80129873006intel_cpufreq schedutil300030133405P-State performance300030223406intel_cpufreq performance300030233403OpenBenchmarking.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 powersave116.2460.3567.1P-State performance187.4459.1563.8OpenBenchmarking.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 powersave: Approximate power consumption of 12351 Joules per run.4. P-State performance: Approximate power consumption of 12663 Joules per run.
MinAvgMaxintel_cpufreq schedutil52.070.675.0P-State performance52.070.575.0P-State powersave53.067.372.0intel_cpufreq performance50.066.174.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

PostgreSQL pgbench

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Only - Average Latencyintel_cpufreq performanceintel_cpufreq schedutilP-State powersaveP-State performance0.06480.12960.19440.25920.324SE +/- 0.006, N = 15SE +/- 0.005, N = 15SE +/- 0.002, N = 15SE +/- 0.003, N = 30.2880.2850.2770.2711. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxP-State powersave80130223437intel_cpufreq schedutil95833173442intel_cpufreq performance219033563436P-State performance300033663407OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance148.8257.7600.3P-State performance161.8257.1600.0intel_cpufreq schedutil65.3245.6612.1P-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. P-State performance: Approximate power consumption of 6428 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 6189 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 powersave39.050.866.0P-State performance45.048.562.0OpenBenchmarking.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 powersaveP-State performance200K400K600K800K1000KSE +/- 16646.22, N = 15SE +/- 15445.86, N = 15SE +/- 7359.52, N = 15SE +/- 9754.80, N = 38764628853799064349241901. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Darmstadt Automotive Parallel Heterogeneous Suite

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

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance3K6K9K12K15KSE +/- 86.30, N = 3SE +/- 115.67, N = 12SE +/- 100.42, N = 15SE +/- 114.27, N = 156634.587077.7613249.6813527.241. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance122436486042.6245.6750.2951.36
MinAvgMaxintel_cpufreq schedutil87126123399P-State powersave80226203390intel_cpufreq performance340134033407P-State performance340034033410OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance154.1263.4299.3P-State performance160.0263.4291.5P-State powersave80.0155.7242.9intel_cpufreq schedutil60.9155.0248.1OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor801602403204001. intel_cpufreq performance: Approximate power consumption of 5585 Joules per run.2. P-State performance: Approximate power consumption of 5549 Joules per run.3. P-State powersave: Approximate power consumption of 4670 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 4559 Joules per run.
MinAvgMaxintel_cpufreq performance48.054.163.0P-State performance46.051.954.0intel_cpufreq schedutil37.041.747.0P-State powersave35.037.542.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU 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: bertsquad-10 - Device: OpenMP CPUP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave110220330440550SE +/- 2.17, N = 3SE +/- 6.15, N = 12SE +/- 8.53, N = 12SE +/- 10.98, N = 94775035045091. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave0.25670.51340.77011.02681.28351.0641.1131.1171.141
MinAvgMaxP-State powersave80129673401intel_cpufreq schedutil220230183403P-State performance300030253407intel_cpufreq performance300030283404OpenBenchmarking.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

RELION

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance80160240320400SE +/- 1.16, N = 3SE +/- 1.34, N = 3SE +/- 1.38, N = 3SE +/- 1.39, N = 3350.27349.99349.44349.031. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -pthread -lmpi_cxx -lmpi
MinAvgMaxP-State powersave80129653200intel_cpufreq schedutil150129893403intel_cpufreq performance290830023403P-State performance294130073403OpenBenchmarking.orgMegahertz, More Is BetterRELION 3.1.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance169.7535.5615.0intel_cpufreq performance150.2534.9618.2intel_cpufreq schedutil65.2534.0616.2P-State powersave66.9530.9618.2OpenBenchmarking.orgWatts, Fewer Is BetterRELION 3.1.1CPU Power Consumption Monitor1603204806408001. P-State performance: Approximate power consumption of 43372 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 43508 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 43072 Joules per run.4. P-State powersave: Approximate power consumption of 43004 Joules per run.
MinAvgMaxP-State performance49.068.076.0P-State powersave32.067.977.0intel_cpufreq performance50.067.676.0intel_cpufreq schedutil37.067.376.0OpenBenchmarking.orgCelsius, Fewer Is BetterRELION 3.1.1CPU 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 Two-Pass - Input: Bosphorus 4KP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance3691215SE +/- 0.05, N = 3SE +/- 0.08, N = 12SE +/- 0.03, N = 3SE +/- 0.09, N = 33.944.009.6910.011. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4Kintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance0.00740.01480.02220.02960.0370.0250.0310.0320.033
MinAvgMaxP-State powersave80122633318intel_cpufreq schedutil90829633409intel_cpufreq performance340334043409P-State performance340034043434OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance188.6303.1339.2P-State performance203.7301.4346.5intel_cpufreq schedutil64.3160.5249.6P-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. P-State performance: Approximate power consumption of 6531 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 7958 Joules per run.4. P-State powersave: Approximate power consumption of 6106 Joules per run.
MinAvgMaxP-State performance45.051.662.0intel_cpufreq performance45.047.253.0intel_cpufreq schedutil34.042.858.0P-State powersave31.035.541.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 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: X3D-benchmarking input.i3dintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance60120180240300SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3290.42290.41290.14289.981. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
MinAvgMaxP-State powersave80129693313intel_cpufreq schedutil221330143403intel_cpufreq performance300230193403P-State performance300230193403OpenBenchmarking.orgMegahertz, More Is BetterXcompact3d Incompact3d 2021-03-11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance185.0533.6582.5intel_cpufreq performance180.8533.5577.7intel_cpufreq schedutil95.3533.2570.3P-State powersave138.7530.0567.2OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor1603204806408001. P-State performance: Approximate power consumption of 37349 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 37343 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 37498 Joules per run.4. P-State powersave: Approximate power consumption of 37451 Joules per run.
MinAvgMaxintel_cpufreq performance50.068.273.0P-State performance50.068.273.0intel_cpufreq schedutil48.067.174.0P-State powersave49.065.874.0OpenBenchmarking.orgCelsius, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU 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 AtomsP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance816243240SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 335.5035.7935.8335.851. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.01510.03020.04530.06040.07550.0670.0670.0670.067
MinAvgMaxP-State powersave80229813204intel_cpufreq schedutil300230153403P-State performance300030183403intel_cpufreq performance300030183403OpenBenchmarking.orgMegahertz, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance191.2535.5569.6intel_cpufreq performance189.0534.9577.7intel_cpufreq schedutil149.4532.5567.5P-State powersave124.1531.5568.5OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption Monitor1402804205607001. P-State performance: Approximate power consumption of 31419 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 31023 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 31065 Joules per run.4. P-State powersave: Approximate power consumption of 31360 Joules per run.
MinAvgMaxintel_cpufreq performance50.072.074.0P-State powersave48.071.275.0P-State performance49.071.076.0intel_cpufreq schedutil51.069.872.0OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU 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 LeukocyteP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance1530456075SE +/- 0.69, N = 6SE +/- 1.35, N = 15SE +/- 0.69, N = 15SE +/- 0.64, N = 1269.0563.2947.1146.361. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxP-State powersave80123583401intel_cpufreq schedutil144426853413P-State performance323334033414intel_cpufreq performance340034043417OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance191.0348.5420.4intel_cpufreq performance157.2348.3425.7intel_cpufreq schedutil59.9223.2369.5P-State powersave71.3180.5301.3OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor1102203304405501. P-State performance: Approximate power consumption of 4066 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 4179 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 3542 Joules per run.4. P-State powersave: Approximate power consumption of 3129 Joules per run.
MinAvgMaxP-State performance57.071.678.0intel_cpufreq performance58.070.777.0intel_cpufreq schedutil46.055.966.0P-State powersave43.050.559.0OpenBenchmarking.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: shufflenet-v2-10 - Device: OpenMP CPUP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance2K4K6K8K10KSE +/- 58.56, N = 12SE +/- 65.66, N = 3SE +/- 24.06, N = 3SE +/- 25.12, N = 382128334838083921. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPUP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance51015202519.4319.6719.8719.92
MinAvgMaxP-State powersave80129743005P-State performance294330043403intel_cpufreq schedutil294330083403intel_cpufreq performance294430123403OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq schedutil185.5423.7515.2P-State powersave138.0422.6516.0intel_cpufreq performance155.3421.8507.2P-State performance190.2421.2500.4OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor1302603905206501. intel_cpufreq schedutil: Approximate power consumption of 11297 Joules per run.2. P-State powersave: Approximate power consumption of 11269 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 11529 Joules per run.4. P-State performance: Approximate power consumption of 11654 Joules per run.
MinAvgMaxP-State powersave52.064.567.0intel_cpufreq schedutil54.063.865.0P-State performance55.063.064.0intel_cpufreq performance52.060.362.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

PostgreSQL pgbench

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read Only - Average LatencyP-State powersaveintel_cpufreq performanceintel_cpufreq schedutilP-State performance0.05760.11520.17280.23040.288SE +/- 0.005, N = 15SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.2560.0810.0810.0811. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxP-State powersave80128213436intel_cpufreq schedutil165233023405P-State performance300033553413intel_cpufreq performance300033623441OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance148.4260.2604.2P-State performance150.4256.1607.4intel_cpufreq schedutil68.6244.4617.1P-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. P-State performance: Approximate power consumption of 6232 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 6110 Joules per run.4. P-State powersave: Approximate power consumption of 4704 Joules per run.
MinAvgMaxintel_cpufreq performance50.054.067.0P-State performance45.048.663.0intel_cpufreq schedutil37.047.162.0P-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 OnlyP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance300K600K900K1200K1500KSE +/- 8388.30, N = 15SE +/- 11834.71, N = 3SE +/- 3615.78, N = 3SE +/- 5304.66, N = 33933291228570123198312367131. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenVKL

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

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance6M12M18M24M30MSE +/- 47580.68, N = 3SE +/- 38895.86, N = 3SE +/- 268896.33, N = 15SE +/- 349026.46, N = 1521722326235992492999653930016318MIN: 1031810 / MAX: 151043112MIN: 1060641 / MAX: 156949416MIN: 979600 / MAX: 247803840MIN: 979586 / MAX: 253907928
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance30K60K90K120K150K118699.08123147.50125723.06126322.91
MinAvgMaxP-State powersave80129933400intel_cpufreq schedutil170232413405intel_cpufreq performance340034043410P-State performance340234043411OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance147.7238.6361.2intel_cpufreq performance160.5237.6341.6intel_cpufreq schedutil71.3198.8249.7P-State powersave70.7176.4222.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor1002003004005001. P-State performance: Approximate power consumption of 4024 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 3992 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 3446 Joules per run.4. P-State powersave: Approximate power consumption of 2999 Joules per run.
MinAvgMaxP-State performance46.050.562.0intel_cpufreq schedutil42.048.156.0P-State powersave43.047.655.0intel_cpufreq performance45.046.958.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU 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: INVITEintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance12002400360048006000SE +/- 50.72, N = 15SE +/- 29.86, N = 15SE +/- 7.17, N = 3SE +/- 15.21, N = 325402548539354161. (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 performanceP-State performanceintel_cpufreq schedutilP-State powersave61218243023.0523.2723.6224.58
MinAvgMaxP-State powersave8019633400intel_cpufreq schedutil80117383403P-State performance340034043409intel_cpufreq performance340334053414OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance184.2235.0256.4P-State performance166.8231.8281.1intel_cpufreq schedutil60.9107.6231.7P-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. P-State performance: Approximate power consumption of 3863 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1800 Joules per run.4. P-State powersave: Approximate power consumption of 1707 Joules per run.
MinAvgMaxintel_cpufreq performance51.053.557.0P-State performance44.046.449.0intel_cpufreq schedutil32.036.655.0P-State powersave32.033.739.0OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature Monitor1632486480

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: Unix MakefilesP-State powersaveintel_cpufreq performanceintel_cpufreq schedutilP-State performance4080120160200SE +/- 1.18, N = 3SE +/- 0.59, N = 3SE +/- 1.14, N = 3SE +/- 1.07, N = 3199.40191.80191.17190.69
MinAvgMaxP-State powersave80230953407intel_cpufreq schedutil230232993410intel_cpufreq performance219633113413P-State performance284333193409OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 12.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance185393629P-State performance184392610intel_cpufreq schedutil89370606P-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. P-State performance: Approximate power consumption of 18410 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 18646 Joules per run.4. P-State powersave: Approximate power consumption of 18937 Joules per run.
MinAvgMaxP-State performance49.064.676.0intel_cpufreq performance50.064.476.0intel_cpufreq schedutil42.062.975.0P-State powersave40.060.376.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 12.0CPU 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 schedutilP-State powersaveP-State performanceintel_cpufreq performance918273645SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.20, N = 3SE +/- 0.21, N = 340.0740.1440.6540.831. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.01730.03460.05190.06920.08650.0760.0760.0760.077
MinAvgMaxP-State powersave80229883390intel_cpufreq schedutil220030033403intel_cpufreq performance300230233403P-State performance300230253403OpenBenchmarking.orgMegahertz, More Is BetterHigh Performance Conjugate Gradient 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance192.8531.4567.4intel_cpufreq performance185.0529.9567.5intel_cpufreq schedutil148.5526.9567.0P-State powersave101.0525.4566.6OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption Monitor1402804205607001. P-State performance: Approximate power consumption of 23737 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 24023 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 24587 Joules per run.4. P-State powersave: Approximate power consumption of 24345 Joules per run.
MinAvgMaxintel_cpufreq schedutil43.067.076.0P-State powersave37.066.675.0intel_cpufreq performance45.066.575.0P-State performance46.066.474.0OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU 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 schedutilP-State powersaveP-State performanceintel_cpufreq performance20406080100SE +/- 0.38, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 3105.10105.03104.76104.271. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
MinAvgMaxP-State powersave80130533405intel_cpufreq schedutil220931573405intel_cpufreq performance300231703409P-State performance300231713413OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 8CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance153.9418.2568.3intel_cpufreq performance172.9415.8568.3intel_cpufreq schedutil125.3401.3568.2P-State powersave81.1392.5569.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor1402804205607001. P-State performance: Approximate power consumption of 17286 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 16634 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 16587 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

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression SpeedP-State performanceP-State powersaveintel_cpufreq schedutilintel_cpufreq performance6001200180024003000SE +/- 5.29, N = 15SE +/- 16.96, N = 3SE +/- 4.60, N = 15SE +/- 4.37, N = 32561.82563.22594.72609.71. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression SpeedP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave36912159.74010.02610.93110.980
MinAvgMaxP-State powersave80132973408intel_cpufreq schedutil100733113413intel_cpufreq performance340334043407P-State performance340034043411OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.5.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance150.3263.0417.7intel_cpufreq performance149.9260.3397.2intel_cpufreq schedutil67.8237.4377.1P-State powersave67.7233.5355.4OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption Monitor1102203304405501. P-State performance: Approximate power consumption of 3051 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 3037 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2943 Joules per run.4. P-State powersave: Approximate power consumption of 2801 Joules per run.
MinAvgMaxintel_cpufreq schedutil37.053.065.0P-State performance46.048.159.0intel_cpufreq performance46.047.353.0P-State powersave33.042.555.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.5.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Compression Speedintel_cpufreq schedutilP-State powersaveintel_cpufreq performanceP-State performance20406080100SE +/- 0.75, N = 15SE +/- 0.55, N = 3SE +/- 0.32, N = 3SE +/- 0.75, N = 1581.582.783.186.71. (CC) gcc options: -O3 -pthread -lz -llzma

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: NinjaP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance306090120150SE +/- 0.40, N = 3SE +/- 0.14, N = 3SE +/- 0.45, N = 3SE +/- 0.50, N = 3129.27127.69127.33127.32
MinAvgMaxP-State powersave80128703404intel_cpufreq schedutil180230713407intel_cpufreq performance277530973409P-State performance277631083408OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 12.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance156.8431.5617.0P-State performance178.6430.6612.2intel_cpufreq schedutil79.9401.9622.4P-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. P-State performance: Approximate power consumption of 13636 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 13664 Joules per run.4. P-State powersave: Approximate power consumption of 13916 Joules per run.
MinAvgMaxintel_cpufreq performance51.066.978.0P-State performance50.066.080.0intel_cpufreq schedutil44.063.676.0P-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: fcn-resnet101-11 - Device: OpenMP CPUP-State performanceintel_cpufreq schedutilP-State powersaveintel_cpufreq performance4080120160200SE +/- 0.44, N = 3SE +/- 1.89, N = 3SE +/- 2.36, N = 3SE +/- 0.29, N = 31941941961971. (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 schedutilP-State performanceintel_cpufreq performanceP-State powersave0.10040.20080.30120.40160.5020.4340.4350.4400.446
MinAvgMaxP-State powersave80128803400intel_cpufreq schedutil217729193404intel_cpufreq performance285529403404P-State performance286629513404OpenBenchmarking.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.
MinAvgMaxP-State performance54.068.174.0P-State powersave51.066.774.0intel_cpufreq schedutil52.066.471.0intel_cpufreq performance49.063.568.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUintel_cpufreq performanceP-State powersaveP-State performanceintel_cpufreq schedutil100200300400500SE +/- 0.73, N = 3SE +/- 2.02, N = 3SE +/- 5.43, N = 3SE +/- 5.29, N = 34764804834831. (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 performanceP-State performanceintel_cpufreq schedutilP-State powersave0.24120.48240.72360.96481.2061.0541.0631.0681.072
MinAvgMaxP-State powersave80229043007intel_cpufreq schedutil292229753405P-State performance293029923404intel_cpufreq performance292729963406OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance179.5454.5548.4intel_cpufreq schedutil124.6452.1549.9intel_cpufreq performance207.9451.6544.9P-State powersave154.5447.7550.4OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor1402804205607001. P-State performance: Approximate power consumption of 12271 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 11905 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 12193 Joules per run.4. P-State powersave: Approximate power consumption of 11939 Joules per run.
MinAvgMaxintel_cpufreq schedutil55.069.072.0P-State performance57.068.673.0P-State powersave54.068.172.0intel_cpufreq performance51.061.663.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU 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-OnlyP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance20406080100SE +/- 0.44, N = 3SE +/- 0.55, N = 3SE +/- 0.34, N = 3SE +/- 0.20, N = 3107.73107.39105.10104.51
MinAvgMaxP-State powersave80229363405intel_cpufreq schedutil230129763406P-State performance290430103405intel_cpufreq performance289230143408OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance188512623intel_cpufreq performance171511631intel_cpufreq schedutil140492619P-State powersave93490623OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption Monitor20040060080010001. P-State performance: Approximate power consumption of 12977 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 12430 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 12784 Joules per run.4. P-State powersave: Approximate power consumption of 12902 Joules per run.
MinAvgMaxP-State performance54.071.976.0intel_cpufreq performance55.071.075.0intel_cpufreq schedutil52.070.276.0P-State powersave49.069.875.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU 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 QuantP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance9K18K27K36K45KSE +/- 711.79, N = 12SE +/- 352.77, N = 3SE +/- 117.93, N = 3SE +/- 61.65, N = 341126.835239.033656.333581.3
MinAvgMaxP-State powersave80129563103P-State performance300030313403intel_cpufreq schedutil300030333403intel_cpufreq performance300030503404OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance202.3520.5620.3P-State powersave131.0517.4615.0intel_cpufreq performance149.4516.0608.7intel_cpufreq schedutil190.6514.3606.9OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor1603204806408001. P-State performance: Approximate power consumption of 7287 Joules per run.2. P-State powersave: Approximate power consumption of 7545 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 7569 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 7543 Joules per run.
MinAvgMaxP-State performance55.069.173.0intel_cpufreq performance50.068.873.0P-State powersave50.068.372.0intel_cpufreq schedutil51.067.471.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU 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 HotSpot3DP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.44, N = 3SE +/- 0.01, N = 3SE +/- 0.27, N = 3SE +/- 0.52, N = 3104.34104.19104.18104.091. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxP-State powersave80232773406intel_cpufreq schedutil230333053406intel_cpufreq performance300033243410P-State performance300033343408OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance179.6264.8537.0P-State performance149.6264.0525.2intel_cpufreq schedutil102.4256.6517.5P-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. P-State performance: Approximate power consumption of 6600 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 6501 Joules per run.4. P-State powersave: Approximate power consumption of 6363 Joules per run.
MinAvgMaxintel_cpufreq schedutil47.056.067.0P-State powersave47.054.665.0P-State performance47.052.462.0intel_cpufreq performance45.051.162.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

PostgreSQL pgbench

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Write - Average LatencyP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance3691215SE +/- 0.071, N = 3SE +/- 0.017, N = 3SE +/- 0.023, N = 3SE +/- 0.023, N = 310.7233.8143.7913.7741. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxP-State powersave80127923405intel_cpufreq schedutil182733023407intel_cpufreq performance218533503409P-State performance300033603410OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance151.9243.7478.4P-State performance152.8240.5481.6intel_cpufreq schedutil60.8227.0477.6P-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. P-State performance: Approximate power consumption of 5933 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 5752 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 WriteP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance14K28K42K56K70KSE +/- 156.62, N = 3SE +/- 301.39, N = 3SE +/- 405.25, N = 3SE +/- 391.43, N = 3234116572666186664931. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read Write - Average LatencyP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance0.96371.92742.89113.85484.8185SE +/- 0.009, N = 3SE +/- 0.035, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 34.2832.7401.5941.5881. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxP-State powersave80127593405intel_cpufreq schedutil141230643405P-State performance300033613413intel_cpufreq performance300033673431OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance150.2238.2441.8P-State performance154.0236.4436.7intel_cpufreq schedutil55.9187.1309.9P-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. P-State performance: Approximate power consumption of 5753 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 4740 Joules per run.4. P-State powersave: Approximate power consumption of 4510 Joules per run.
MinAvgMaxintel_cpufreq performance48.051.358.0P-State performance44.049.057.0P-State powersave41.046.652.0intel_cpufreq schedutil39.044.750.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor1632486480

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read WriteP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance14K28K42K56K70KSE +/- 51.95, N = 3SE +/- 464.84, N = 3SE +/- 148.39, N = 3SE +/- 272.63, N = 3233833657762826630491. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression SpeedP-State performanceintel_cpufreq schedutilP-State powersaveintel_cpufreq performance6001200180024003000SE +/- 9.19, N = 3SE +/- 8.19, N = 6SE +/- 4.94, N = 15SE +/- 2.06, N = 32677.92693.42711.62713.11. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression SpeedP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave369121511.1011.3112.2012.48
MinAvgMaxP-State powersave80132883409intel_cpufreq schedutil141633323409P-State performance340334043409intel_cpufreq performance340334043410OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.5.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance150.3241.4314.1intel_cpufreq performance179.5239.9319.4intel_cpufreq schedutil56.0220.9303.6P-State powersave69.3217.3300.8OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption Monitor801602403204001. P-State performance: Approximate power consumption of 2655 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 2639 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2503 Joules per run.4. P-State powersave: Approximate power consumption of 2477 Joules per run.
MinAvgMaxintel_cpufreq schedutil44.049.953.0intel_cpufreq performance46.048.056.0P-State powersave39.047.451.0P-State performance46.047.350.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.5.0CPU Temperature Monitor1632486480

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Compression Speedintel_cpufreq schedutilP-State powersaveintel_cpufreq performanceP-State performance1122334455SE +/- 0.46, N = 6SE +/- 0.32, N = 15SE +/- 0.20, N = 3SE +/- 0.21, N = 346.146.748.349.11. (CC) gcc options: -O3 -pthread -lz -llzma

Timed Node.js Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To CompileP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance20406080100SE +/- 0.59, N = 3SE +/- 0.27, N = 3SE +/- 0.49, N = 3SE +/- 0.15, N = 3102.2091.8691.0890.85
MinAvgMaxP-State powersave80129473408intel_cpufreq schedutil220031313408intel_cpufreq performance278031473406P-State performance280631503408OpenBenchmarking.orgMegahertz, More Is BetterTimed Node.js Compilation 15.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance191428625P-State performance153427615intel_cpufreq schedutil131414632P-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. P-State performance: Approximate power consumption of 9247 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 9119 Joules per run.4. P-State powersave: Approximate power consumption of 9294 Joules per run.
MinAvgMaxP-State performance52.066.276.0intel_cpufreq performance54.065.575.0intel_cpufreq schedutil49.064.775.0P-State powersave44.061.075.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Node.js Compilation 15.11CPU Temperature Monitor20406080100

PJSIP

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

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: OPTIONS, StatelessP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance9K18K27K36K45KSE +/- 341.07, N = 9SE +/- 380.67, N = 7SE +/- 83.53, N = 3SE +/- 274.68, N = 3414214174342338423891. (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 performanceP-State performanceintel_cpufreq schedutilP-State powersave4080120160200160.57163.09166.04174.15
MinAvgMaxP-State powersave80131653408intel_cpufreq schedutil90833573409P-State performance340334073413intel_cpufreq performance340334083435OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance183.3263.7291.9P-State performance181.0259.9289.3intel_cpufreq schedutil67.5251.4286.7P-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. P-State performance: Approximate power consumption of 3292 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 3232 Joules per run.4. P-State powersave: Approximate power consumption of 3066 Joules per run.
MinAvgMaxintel_cpufreq schedutil34.054.764.0intel_cpufreq performance48.052.861.0P-State performance43.044.549.0P-State powersave32.041.244.0OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU 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: NDT MappingP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance2004006008001000SE +/- 18.61, N = 15SE +/- 19.99, N = 14SE +/- 4.97, N = 3SE +/- 4.79, N = 3742.30743.01914.70924.841. (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 performanceP-State performanceintel_cpufreq schedutilP-State powersave0.99991.99982.99973.99964.99953.9133.9484.3224.444
MinAvgMaxP-State powersave80128203406intel_cpufreq schedutil80128383406intel_cpufreq performance340334033405P-State performance340334043407OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance149.0234.2277.2intel_cpufreq performance148.3233.7287.4intel_cpufreq schedutil73.0171.9241.8P-State powersave54.6167.0233.4OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor701402102803501. P-State performance: Approximate power consumption of 1484 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 1558 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1363 Joules per run.4. P-State powersave: Approximate power consumption of 1314 Joules per run.
MinAvgMaxintel_cpufreq performance47.049.650.0P-State performance46.048.249.0intel_cpufreq schedutil40.044.348.0P-State powersave35.038.641.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature Monitor1428425670

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20Time To CompileP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance612182430SE +/- 0.38, N = 15SE +/- 0.19, N = 14SE +/- 0.24, N = 5SE +/- 0.19, N = 724.8822.1921.4921.41
MinAvgMaxP-State powersave80124553405intel_cpufreq schedutil230132603408intel_cpufreq performance287032693408P-State performance277132903409OpenBenchmarking.orgMegahertz, More Is BetterTimed Linux Kernel Compilation 5.10.20CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance180338641P-State performance167337635intel_cpufreq schedutil81319635P-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. P-State performance: Approximate power consumption of 2358 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2231 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

Darmstadt Automotive Parallel Heterogeneous Suite

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

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance2004006008001000SE +/- 7.84, N = 15SE +/- 9.84, N = 15SE +/- 2.39, N = 3SE +/- 1.25, N = 3831.33884.751020.771021.621. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave1.02352.0473.07054.0945.11753.7783.8164.4914.549
MinAvgMaxP-State powersave80128753406intel_cpufreq schedutil139129723405intel_cpufreq performance340334033404P-State performance340334033406OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance211.6270.2317.9intel_cpufreq performance209.8267.7311.3intel_cpufreq schedutil75.6197.0300.8P-State powersave62.2182.8261.7OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor801602403204001. P-State performance: Approximate power consumption of 1621 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 1517 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1340 Joules per run.4. P-State powersave: Approximate power consumption of 1304 Joules per run.
MinAvgMaxintel_cpufreq performance47.049.952.0P-State performance47.049.352.0intel_cpufreq schedutil41.046.450.0P-State powersave37.041.447.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature Monitor1530456075

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 schedutilP-State powersaveP-State performanceintel_cpufreq performance1632486480SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 372.2472.1771.2771.22
MinAvgMaxP-State powersave80128013400intel_cpufreq schedutil220028563403intel_cpufreq performance277429183405P-State performance277529303405OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance195518638P-State performance164516627P-State powersave98508636intel_cpufreq schedutil113508624OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption Monitor20040060080010001. intel_cpufreq performance: Approximate power consumption of 8631 Joules per run.2. P-State performance: Approximate power consumption of 8775 Joules per run.3. P-State powersave: Approximate power consumption of 8464 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 8799 Joules per run.
MinAvgMaxintel_cpufreq performance57.073.478.0P-State performance57.073.077.0intel_cpufreq schedutil52.072.578.0P-State powersave50.071.876.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU 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, LosslessP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance918273645SE +/- 0.28, N = 15SE +/- 0.41, N = 3SE +/- 0.22, N = 3SE +/- 0.20, N = 337.4731.9930.3530.011. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxP-State powersave80132103409intel_cpufreq schedutil142132853409intel_cpufreq performance340334053410P-State performance340334063442OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance166.8314.9476.7P-State performance151.5312.4462.5intel_cpufreq schedutil68.2281.5459.7P-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. P-State performance: Approximate power consumption of 2500 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2440 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 powersave35.054.171.0P-State performance51.053.858.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU 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, StatefulP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance2K4K6K8K10KSE +/- 31.56, N = 3SE +/- 13.93, N = 3SE +/- 0.58, N = 3SE +/- 6.00, N = 33769379710362104091. (CC) gcc options: -lstdc++ -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2
OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: OPTIONS, StatefulP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance102030405038.1238.2345.1245.87
MinAvgMaxP-State powersave8018582300intel_cpufreq schedutil80215102300P-State performance340334053428intel_cpufreq performance340034073483OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance167.0230.7260.3P-State performance185.9225.9244.3intel_cpufreq schedutil63.599.3109.9P-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. P-State performance: Approximate power consumption of 3615 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1622 Joules per run.4. P-State powersave: Approximate power consumption of 1648 Joules per run.
MinAvgMaxintel_cpufreq performance47.051.353.0P-State performance44.044.345.0intel_cpufreq schedutil35.036.538.0P-State powersave33.034.536.0OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature Monitor1530456075

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 schedutilP-State powersaveP-State performanceintel_cpufreq performance510152025SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.23, N = 35.867.3819.0919.201. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4Kintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance0.01510.03020.04530.06040.07550.0520.0650.0670.067
MinAvgMaxintel_cpufreq schedutil100117883403P-State powersave80121302305P-State performance340034033404intel_cpufreq performance340334043422OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance153.7285.8321.6P-State performance148.8283.3319.8P-State powersave54.3114.4126.6intel_cpufreq schedutil60.7111.7120.3OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor801602403204001. intel_cpufreq performance: Approximate power consumption of 2477 Joules per run.2. P-State performance: Approximate power consumption of 2456 Joules per run.3. P-State powersave: Approximate power consumption of 2402 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 2905 Joules per run.
MinAvgMaxintel_cpufreq performance45.048.756.0P-State performance43.044.846.0intel_cpufreq schedutil34.036.538.0P-State powersave30.032.834.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature Monitor1632486480

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 performanceP-State performanceP-State powersaveintel_cpufreq schedutil120K240K360K480K600KSE +/- 491.89, N = 3SE +/- 2262.00, N = 3SE +/- 1289.77, N = 3SE +/- 1875.50, N = 3572679572149572065571632
MinAvgMaxP-State powersave80129023050intel_cpufreq schedutil240230383404P-State performance300330593403intel_cpufreq performance300530683403OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance154517637P-State performance152516640intel_cpufreq schedutil133512626P-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. P-State performance: Approximate power consumption of 7402 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 7336 Joules per run.4. P-State powersave: Approximate power consumption of 7330 Joules per run.
MinAvgMaxP-State powersave50.072.077.0intel_cpufreq performance52.071.876.0P-State performance54.071.776.0intel_cpufreq schedutil49.069.573.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4P-State powersaveintel_cpufreq performanceintel_cpufreq schedutilP-State performance150K300K450K600K750KSE +/- 5220.61, N = 3SE +/- 6399.11, N = 3SE +/- 2013.17, N = 3SE +/- 2267.77, N = 3682153677421672254663707
MinAvgMaxP-State powersave80230023210P-State performance303331343404intel_cpufreq schedutil303131383407intel_cpufreq performance302931433403OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance201.4519.2613.3intel_cpufreq performance194.4518.9616.9intel_cpufreq schedutil188.1514.1611.8P-State powersave142.3503.7615.6OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor1603204806408001. P-State performance: Approximate power consumption of 7615 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 7437 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 7540 Joules per run.4. P-State powersave: Approximate power consumption of 7220 Joules per run.
MinAvgMaxintel_cpufreq performance56.073.276.0P-State performance56.072.175.0P-State powersave55.071.174.0intel_cpufreq schedutil53.070.274.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU 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 schedutilP-State powersaveP-State performanceintel_cpufreq performance48121620SE +/- 0.14, N = 7SE +/- 0.06, N = 3SE +/- 0.15, N = 15SE +/- 0.01, N = 315.0714.9214.7914.491. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
MinAvgMaxP-State powersave80228363400intel_cpufreq schedutil196631393404P-State performance300332273409intel_cpufreq performance300332313408OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 8CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance152395641P-State performance158384578intel_cpufreq schedutil91350570P-State powersave94309570OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor20040060080010001. intel_cpufreq performance: Approximate power consumption of 2762 Joules per run.2. P-State performance: Approximate power consumption of 2714 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2753 Joules per run.4. P-State powersave: Approximate power consumption of 2571 Joules per run.
MinAvgMaxP-State performance54.064.374.0intel_cpufreq performance52.061.871.0intel_cpufreq schedutil46.059.571.0P-State powersave43.053.267.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 8CPU Temperature Monitor20406080100

Timed Godot Game Engine Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance20406080100SE +/- 0.95, N = 3SE +/- 0.49, N = 3SE +/- 0.28, N = 3SE +/- 0.18, N = 375.6153.0048.6548.16
MinAvgMaxP-State powersave80229353406intel_cpufreq schedutil98732463407P-State performance310033683410intel_cpufreq performance300333743409OpenBenchmarking.orgMegahertz, More Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance160.0344.2580.4P-State performance179.1342.3599.5intel_cpufreq schedutil67.5304.2563.4P-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. P-State performance: Approximate power consumption of 4107 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 4158 Joules per run.4. P-State powersave: Approximate power consumption of 4541 Joules per run.
MinAvgMaxintel_cpufreq performance49.057.070.0P-State performance44.054.967.0intel_cpufreq schedutil32.053.668.0P-State powersave33.044.363.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU 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 9 Realtime - Input: Bosphorus 4Kintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance1428425670SE +/- 0.16, N = 15SE +/- 0.22, N = 3SE +/- 0.27, N = 5SE +/- 0.43, N = 521.7223.5961.0661.271. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4Kintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance0.0560.1120.1680.2240.280.2080.2250.2450.249
MinAvgMaxintel_cpufreq schedutil80115282303P-State powersave80118332301intel_cpufreq performance340034033404P-State performance340334033404OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance190.4249.4290.0intel_cpufreq performance148.3246.5288.9P-State powersave53.6105.0116.9intel_cpufreq schedutil62.7104.3119.1OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor701402102803501. P-State performance: Approximate power consumption of 898 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 887 Joules per run.3. P-State powersave: Approximate power consumption of 805 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 849 Joules per run.
MinAvgMaxintel_cpufreq performance46.047.153.0P-State performance45.045.246.0intel_cpufreq schedutil35.036.638.0P-State powersave29.030.331.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU 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: vklBenchmarkStructuredVolumeP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance20M40M60M80M100MSE +/- 799905.44, N = 4SE +/- 444572.22, N = 3SE +/- 57856.16, N = 3SE +/- 497134.18, N = 37197443877997628106056458106704641MIN: 1304623 / MAX: 672770484MIN: 1380198 / MAX: 693620172MIN: 1396156 / MAX: 908416224MIN: 1343151 / MAX: 909146052
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolumeintel_cpufreq schedutilP-State powersaveintel_cpufreq performanceP-State performance90K180K270K360K450K418290.31424481.55436355.85438562.32
MinAvgMaxP-State powersave80128663407intel_cpufreq schedutil143030763408P-State performance340334033408intel_cpufreq performance340034053410OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance171.6244.5315.4P-State performance150.8241.8326.7intel_cpufreq schedutil69.4186.5255.9P-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. P-State performance: Approximate power consumption of 2983 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2424 Joules per run.4. P-State powersave: Approximate power consumption of 2204 Joules per run.
MinAvgMaxintel_cpufreq performance50.052.667.0P-State performance47.049.859.0intel_cpufreq schedutil41.044.955.0P-State powersave38.042.952.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU 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 schedutilP-State powersaveP-State performanceintel_cpufreq performance40M80M120M160M200MSE +/- 1451422.61, N = 15SE +/- 1103002.46, N = 3SE +/- 1592768.45, N = 3SE +/- 2150017.23, N = 31754461821770311221771314281786294741. (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 schedutilP-State performanceintel_cpufreq performanceP-State powersave80K160K240K320K400K368173.69378389.79380770.10392264.24
MinAvgMaxP-State powersave80126523002intel_cpufreq schedutil217330603404intel_cpufreq performance297431053405P-State performance298731063406OpenBenchmarking.orgMegahertz, More Is BetterStockfish 13CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq schedutil88.3476.5620.1intel_cpufreq performance194.9469.1622.5P-State performance201.4468.1625.2P-State powersave90.8451.3621.5OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 13CPU Power Consumption Monitor1603204806408001. intel_cpufreq schedutil: Approximate power consumption of 3145 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 2971 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 schedutil47.070.576.0intel_cpufreq performance53.069.376.0P-State performance49.066.173.0P-State powersave47.065.874.0OpenBenchmarking.orgCelsius, Fewer Is BetterStockfish 13CPU 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: Path Tracerintel_cpufreq schedutilP-State powersaveintel_cpufreq performanceP-State performance3691215SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 310.3810.4210.4210.45MIN: 7.69 / MAX: 10.53MIN: 7.69 / MAX: 10.64MIN: 7.14 / MAX: 10.64MIN: 7.94 / MAX: 10.75
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path Tracerintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave0.00720.01440.02160.02880.0360.0300.0310.0310.032
MinAvgMaxP-State powersave80228933405intel_cpufreq schedutil230229873406intel_cpufreq performance252231013404P-State performance252531113407OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance155.3347.7589.2P-State performance149.2340.5585.7intel_cpufreq schedutil73.2331.0607.4P-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. P-State performance: Approximate power consumption of 3859 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 3752 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

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDP-State powersaveintel_cpufreq performanceP-State performanceintel_cpufreq schedutil918273645SE +/- 0.23, N = 3SE +/- 0.47, N = 3SE +/- 0.13, N = 3SE +/- 0.18, N = 339.8239.7539.4239.201. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxP-State powersave80128193406intel_cpufreq schedutil112828803405intel_cpufreq performance280829973407P-State performance280930113408OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq schedutil139464629intel_cpufreq performance182463633P-State performance184457637P-State powersave117449619OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor20040060080010001. intel_cpufreq schedutil: Approximate power consumption of 4327 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 4323 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.
MinAvgMaxP-State performance52.069.176.0intel_cpufreq performance50.069.077.0intel_cpufreq schedutil46.068.177.0P-State powersave46.066.675.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 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: 8, Long Mode - Compression SpeedP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance2004006008001000SE +/- 0.62, N = 3SE +/- 2.96, N = 3SE +/- 4.09, N = 3SE +/- 2.28, N = 3296.0311.71011.91015.81. (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 schedutilP-State powersaveP-State performanceintel_cpufreq performance918273645SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 4SE +/- 0.07, N = 411.3013.2638.2138.261. (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 schedutilP-State powersaveP-State performanceintel_cpufreq performance0.02250.0450.06750.090.11250.0840.0950.0980.100
MinAvgMaxintel_cpufreq schedutil110420653400P-State powersave80121632304intel_cpufreq performance220632663403P-State performance318733273403OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance211.4388.5491.7intel_cpufreq performance169.5382.7492.0P-State powersave67.1139.8156.9intel_cpufreq schedutil70.9134.1148.8OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption Monitor1302603905206501. P-State performance: Approximate power consumption of 1748 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 1722 Joules per run.3. P-State powersave: Approximate power consumption of 1631 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 1787 Joules per run.
MinAvgMaxP-State performance48.058.665.0intel_cpufreq performance46.058.266.0intel_cpufreq schedutil38.040.943.0P-State powersave38.040.643.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU 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: 64 - Buffer Length: 256 - Filter Length: 57intel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance700M1400M2100M2800M3500MSE +/- 69564540.69, N = 12SE +/- 19182283.49, N = 3SE +/- 5500404.03, N = 3SE +/- 8774394.57, N = 330031250003029900000306613333330726000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57P-State performanceintel_cpufreq schedutilintel_cpufreq performanceP-State powersave1.4M2.8M4.2M5.6M7M6392760.376436493.636437714.606754065.39
MinAvgMaxP-State powersave80128433300P-State performance310232143404intel_cpufreq schedutil182332163407intel_cpufreq performance310032423403OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance178.1479.6584.3intel_cpufreq performance212.4477.3581.1intel_cpufreq schedutil75.6466.6591.2P-State powersave57.2448.6567.9OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor1603204806408001. P-State performance: Approximate power consumption of 2718 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 2705 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2644 Joules per run.4. P-State powersave: Approximate power consumption of 2692 Joules per run.
MinAvgMaxP-State performance53.068.274.0P-State powersave44.065.974.0intel_cpufreq schedutil45.065.976.0intel_cpufreq performance53.064.575.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 2021.01.31CPU Temperature Monitor20406080100

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 schedutilP-State powersaveP-State performanceintel_cpufreq performance1122334455SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.31, N = 15SE +/- 0.56, N = 420.5323.0346.3146.341. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave0.03890.07780.11670.15560.19450.1350.1380.1550.173
MinAvgMaxP-State powersave80121752300intel_cpufreq schedutil114122222303intel_cpufreq performance310132943404P-State performance311732983403OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance183.3343.8438.5intel_cpufreq performance191.2335.5439.8P-State powersave57.1133.2155.1intel_cpufreq schedutil55.9132.0150.2OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption Monitor1202403604806001. P-State performance: Approximate power consumption of 1329 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 1342 Joules per run.3. P-State powersave: Approximate power consumption of 933 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 1012 Joules per run.
MinAvgMaxP-State performance54.060.765.0intel_cpufreq performance54.060.663.0intel_cpufreq schedutil37.038.739.0P-State powersave36.038.339.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU 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.DP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance2K4K6K8K10KSE +/- 65.72, N = 3SE +/- 22.19, N = 3SE +/- 60.08, N = 13SE +/- 38.79, N = 48620.978634.308920.108938.091. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.Dintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave51015202519.3319.4920.0820.74
MinAvgMaxP-State powersave80125913011intel_cpufreq schedutil80229453403P-State performance300131443403intel_cpufreq performance300531583404OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance184.4462.4576.1P-State performance165.5457.8585.0intel_cpufreq schedutil72.0429.9565.8P-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. P-State performance: Approximate power consumption of 2289 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2150 Joules per run.4. P-State powersave: Approximate power consumption of 2217 Joules per run.
MinAvgMaxP-State performance51.069.276.0intel_cpufreq performance50.066.574.0intel_cpufreq schedutil38.057.968.0P-State powersave37.055.367.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

GROMACS

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

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bareP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance3691215SE +/- 0.038, N = 3SE +/- 0.035, N = 3SE +/- 0.048, N = 3SE +/- 0.011, N = 38.9999.0429.0529.1021. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bareP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.00450.0090.01350.0180.02250.020.020.020.02
MinAvgMaxP-State powersave80228363400intel_cpufreq schedutil223130643403P-State performance290031413403intel_cpufreq performance290331643404OpenBenchmarking.orgMegahertz, More Is BetterGROMACS 2021.2CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance155465570P-State performance71461575intel_cpufreq schedutil178461571P-State powersave63445722OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2021.2CPU Power Consumption Monitor20040060080010001. intel_cpufreq performance: Approximate power consumption of 5119 Joules per run.2. P-State performance: Approximate power consumption of 5076 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 4914 Joules per run.4. P-State powersave: Approximate power consumption of 4893 Joules per run.
MinAvgMaxintel_cpufreq schedutil53.067.476.0P-State performance52.066.676.0P-State powersave48.063.174.0intel_cpufreq performance52.062.871.0OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2021.2CPU 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-OnlyP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance714212835SE +/- 0.03, N = 3SE +/- 0.27, N = 3SE +/- 0.11, N = 3SE +/- 0.15, N = 329.7229.2528.4028.28
MinAvgMaxP-State powersave80127043408intel_cpufreq schedutil279231073406intel_cpufreq performance278631273405P-State performance279331403408OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance159452618P-State performance161451609intel_cpufreq schedutil149437595P-State powersave147424635OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption Monitor20040060080010001. intel_cpufreq performance: Approximate power consumption of 3466 Joules per run.2. P-State performance: Approximate power consumption of 3455 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 3498 Joules per run.4. P-State powersave: Approximate power consumption of 3393 Joules per run.
MinAvgMaxintel_cpufreq performance56.069.475.0P-State performance56.068.674.0intel_cpufreq schedutil56.068.474.0P-State powersave53.067.675.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU 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: 10, LosslessP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance246810SE +/- 0.141, N = 15SE +/- 0.124, N = 15SE +/- 0.040, N = 6SE +/- 0.031, N = 68.8338.4867.2767.2481. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxP-State powersave80125453404intel_cpufreq schedutil80231133405P-State performance340334033404intel_cpufreq performance340334043408OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance176.2208.8247.3P-State performance174.7208.8243.2intel_cpufreq schedutil71.0148.0226.2P-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. P-State performance: Approximate power consumption of 557 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 434 Joules per run.4. P-State powersave: Approximate power consumption of 406 Joules per run.
MinAvgMaxintel_cpufreq performance47.049.552.0P-State performance44.045.346.0intel_cpufreq schedutil38.040.743.0P-State powersave36.039.150.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor1530456075

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.1Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4Kintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance1122334455SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.30, N = 4SE +/- 0.52, N = 415.9017.0748.6248.911. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4Kintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance0.04280.08560.12840.17120.2140.1510.1630.1900.190
MinAvgMaxintel_cpufreq schedutil81013723202P-State powersave80117942287intel_cpufreq performance340034033404P-State performance340334043407OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance181.7257.1310.9P-State performance186.2255.5299.2intel_cpufreq schedutil67.0105.1114.8P-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. P-State performance: Approximate power consumption of 1086 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1121 Joules per run.4. P-State powersave: Approximate power consumption of 1049 Joules per run.
MinAvgMaxintel_cpufreq performance45.045.747.0P-State performance44.044.345.0intel_cpufreq schedutil34.035.937.0P-State powersave29.031.232.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature Monitor1428425670

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 schedutilP-State powersaveP-State performanceintel_cpufreq performance0.65931.31861.97792.63723.2965SE +/- 0.03, N = 15SE +/- 0.00, N = 4SE +/- 0.01, N = 5SE +/- 0.00, N = 52.782.852.932.93
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160P-State performanceintel_cpufreq performanceP-State powersaveintel_cpufreq schedutil0.0020.0040.0060.0080.010.0080.0080.0090.009
MinAvgMaxP-State powersave80120263174intel_cpufreq schedutil108828543403P-State performance263632233404intel_cpufreq performance293132863405OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 1.4.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance158.5349.7562.6P-State performance154.8346.3560.7intel_cpufreq schedutil59.7321.9551.2P-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. P-State performance: Approximate power consumption of 1247 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1202 Joules per run.4. P-State powersave: Approximate power consumption of 1153 Joules per run.
MinAvgMaxintel_cpufreq performance55.062.772.0P-State performance55.062.173.0intel_cpufreq schedutil50.060.172.0P-State powersave49.058.168.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Temperature Monitor20406080100

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave246810SE +/- 0.078, N = 15SE +/- 0.076, N = 6SE +/- 0.044, N = 6SE +/- 0.058, N = 157.8167.7277.7127.7101. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxP-State powersave80125483405intel_cpufreq schedutil142031523403intel_cpufreq performance300032613404P-State performance300032863411OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance150.9343.8499.3P-State powersave55.0332.0522.3intel_cpufreq performance189.0331.2492.1intel_cpufreq schedutil69.0316.0481.9OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor1302603905206501. P-State performance: Approximate power consumption of 940 Joules per run.2. P-State powersave: Approximate power consumption of 907 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 938 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 843 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

OSPray

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

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance20406080100SE +/- 0.00, N = 3SE +/- 0.00, N = 390.9190.91100.00100.00MIN: 58.82 / MAX: 100MIN: 47.62 / MAX: 100MIN: 62.5 / MAX: 111.11MIN: 55.56 / MAX: 111.11
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
MinAvgMaxP-State powersave80232183401intel_cpufreq schedutil230232833406intel_cpufreq performance258533643404P-State performance340034033404OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance178.3227.4428.3P-State performance166.4226.3422.1intel_cpufreq schedutil91.4206.0408.3P-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

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerP-State performanceintel_cpufreq schedutilintel_cpufreq performanceP-State powersave3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 310.3110.3110.3110.38MIN: 8.33 / MAX: 10.75MIN: 7.75 / MAX: 10.53MIN: 8.26 / MAX: 10.75MIN: 8.06 / MAX: 10.53
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerP-State performanceintel_cpufreq schedutilintel_cpufreq performanceP-State powersave0.00540.01080.01620.02160.0270.0230.0230.0230.024
MinAvgMaxP-State powersave80126043400intel_cpufreq schedutil217528033403intel_cpufreq performance251028153404P-State performance251128553403OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance189.9449.5597.2P-State performance160.8444.9606.8intel_cpufreq schedutil164.3440.0605.9P-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. P-State performance: Approximate power consumption of 2966 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2933 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

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 4KP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance1326395265SE +/- 0.20, N = 3SE +/- 0.47, N = 3SE +/- 0.31, N = 4SE +/- 0.24, N = 430.5535.4856.7556.891. (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 schedutilintel_cpufreq performanceP-State performanceP-State powersave0.04390.08780.13170.17560.21950.1830.1850.1860.195
MinAvgMaxP-State powersave80121692307intel_cpufreq schedutil230027423405intel_cpufreq performance340034033406P-State performance340034033408OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 0.8.7CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance162.8306.0496.1P-State performance185.5305.7490.5intel_cpufreq schedutil74.6193.4332.0P-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. P-State performance: Approximate power consumption of 1375 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1289 Joules per run.4. P-State powersave: Approximate power consumption of 1200 Joules per run.
MinAvgMaxintel_cpufreq performance47.053.864.0P-State performance48.053.263.0intel_cpufreq schedutil44.048.353.0P-State powersave39.042.447.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8.7CPU 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 schedutilP-State performanceP-State powersaveintel_cpufreq performance0.06130.12260.18390.24520.3065SE +/- 0.00043, N = 3SE +/- 0.00055, N = 3SE +/- 0.00040, N = 3SE +/- 0.00021, N = 30.272270.271680.270930.27051
MinAvgMaxP-State powersave80128833010intel_cpufreq schedutil294230943404intel_cpufreq performance292231153403P-State performance294631243403OpenBenchmarking.orgMegahertz, More Is BetterNAMD 2.14CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave129477647intel_cpufreq performance162459635P-State performance189456636intel_cpufreq schedutil145429609OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor20040060080010001. P-State powersave: Approximate power consumption of 3813 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 2449 Joules per run.3. P-State performance: Approximate power consumption of 2280 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 2288 Joules per run.
MinAvgMaxP-State powersave51.066.970.0intel_cpufreq performance54.065.470.0P-State performance54.065.369.0intel_cpufreq schedutil51.063.469.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD 2.14CPU 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.4096x4096P-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance0.3150.630.9451.261.575SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.381.381.401.40
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x4096P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.00090.00180.00270.00360.00450.0040.0040.0040.004
MinAvgMaxP-State powersave80121873299intel_cpufreq schedutil230130893404intel_cpufreq performance280432473403P-State performance285133133411OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 1.4.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance151.6384.8559.5intel_cpufreq performance186.9380.7559.6intel_cpufreq schedutil92.3363.8561.6P-State powersave75.2357.4558.0OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor1402804205607001. P-State performance: Approximate power consumption of 2309 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 2284 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2304 Joules per run.4. P-State powersave: Approximate power consumption of 2145 Joules per run.
MinAvgMaxintel_cpufreq schedutil48.063.072.0intel_cpufreq performance53.062.872.0P-State performance52.061.372.0P-State powersave45.060.372.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU 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 ObjP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance20406080100SE +/- 0.41, N = 3SE +/- 0.38, N = 3SE +/- 0.48, N = 3SE +/- 0.14, N = 387.2187.9989.0989.49MIN: 69.09 / MAX: 97.86MIN: 70.3 / MAX: 98.24MIN: 70.73 / MAX: 97.89MIN: 71.05 / MAX: 98.17
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon Objintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave0.06910.13820.20730.27640.34550.2890.2910.3000.307
MinAvgMaxintel_cpufreq schedutil110029953404P-State powersave80130303404P-State performance266832153405intel_cpufreq performance269132333410OpenBenchmarking.orgMegahertz, More Is BetterEmbree 3.13CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance151.5310.0582.8P-State performance163.0305.7571.3intel_cpufreq schedutil128.2293.2576.1P-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. P-State performance: Approximate power consumption of 1834 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1857 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

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance40K80K120K160K200KSE +/- 416.58, N = 4SE +/- 322.38, N = 4SE +/- 313.16, N = 4SE +/- 230.36, N = 4191166.41191705.02197815.31197821.881. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.Cintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil100200300400500445.67454.64473.91475.18
MinAvgMaxP-State powersave80230133300intel_cpufreq schedutil153431593405P-State performance310732683404intel_cpufreq performance310732833406OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance137.8443.9612.4P-State performance142.1435.1592.6intel_cpufreq schedutil62.8403.4562.6P-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. P-State performance: Approximate power consumption of 1958 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2017 Joules per run.4. P-State powersave: Approximate power consumption of 2017 Joules per run.
MinAvgMaxP-State performance36.056.067.0intel_cpufreq performance36.055.668.0intel_cpufreq schedutil28.052.366.0P-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: XFrog Forest - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance510152025SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 418.8718.8718.8718.87MIN: 13.7 / MAX: 19.23MIN: 13.89 / MAX: 19.61MIN: 12.2 / MAX: 19.23MIN: 12.99 / MAX: 19.61
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave0.01150.0230.03450.0460.05750.0460.0470.0480.051
MinAvgMaxP-State powersave80124263400intel_cpufreq schedutil220229493404P-State performance252530003407intel_cpufreq performance251730703408OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance206.0414.6603.2P-State performance151.3403.8607.2intel_cpufreq schedutil68.1393.1604.2P-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. P-State performance: Approximate power consumption of 1716 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1769 Joules per run.4. P-State powersave: Approximate power consumption of 1654 Joules per run.
MinAvgMaxintel_cpufreq performance48.061.772.0P-State performance48.060.070.0intel_cpufreq schedutil37.057.870.0P-State powersave33.053.466.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU 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: 57P-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance700M1400M2100M2800M3500MSE +/- 12922117.13, N = 3SE +/- 1071343.91, N = 3SE +/- 2605762.84, N = 3SE +/- 5955109.85, N = 330739333333082533333308510000030967000001. (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 schedutilP-State performanceP-State powersaveintel_cpufreq performance1.4M2.8M4.2M5.6M7M6576582.796607333.416650836.156658045.41
MinAvgMaxP-State powersave80128363000intel_cpufreq performance295630693403P-State performance295830713403intel_cpufreq schedutil295930713404OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq schedutil169.3468.7615.2P-State performance196.5466.9607.3intel_cpufreq performance196.4465.1607.4P-State powersave157.2462.2625.0OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor1603204806408001. intel_cpufreq schedutil: Approximate power consumption of 2656 Joules per run.2. P-State performance: Approximate power consumption of 2646 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 2636 Joules per run.4. P-State powersave: Approximate power consumption of 2465 Joules per run.
MinAvgMaxintel_cpufreq schedutil55.070.575.0P-State performance55.070.574.0intel_cpufreq performance55.069.975.0P-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: 57P-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance700M1400M2100M2800M3500MSE +/- 10910901.79, N = 3SE +/- 4817445.15, N = 3SE +/- 6806124.69, N = 3SE +/- 5329477.77, N = 332701333333291466667329300000032934000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 57P-State powersaveintel_cpufreq performanceP-State performanceintel_cpufreq schedutil1.5M3M4.5M6M7.5M6911581.206985743.487053355.327058626.64
MinAvgMaxP-State powersave80228733008intel_cpufreq performance218330003408intel_cpufreq schedutil288030663403P-State performance299030963405OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave101.4473.1582.5intel_cpufreq performance168.0471.4579.0P-State performance148.2466.9588.2intel_cpufreq schedutil157.2466.3582.9OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 2681 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 2672 Joules per run.3. P-State performance: Approximate power consumption of 2490 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 2642 Joules per run.
MinAvgMaxintel_cpufreq performance53.068.273.0P-State performance51.068.074.0intel_cpufreq schedutil49.067.974.0P-State powersave47.067.473.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 2021.01.31CPU 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.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient CPUintel_cpufreq schedutilP-State performanceP-State powersaveintel_cpufreq performance246810SE +/- 0.088, N = 15SE +/- 0.068, N = 15SE +/- 0.067, N = 15SE +/- 0.128, N = 156.4546.1314.2924.0051. (CXX) g++ options: -rdynamic
MinAvgMaxP-State powersave80125703405intel_cpufreq schedutil230332843405intel_cpufreq performance340334043410P-State performance340334043408OpenBenchmarking.orgMegahertz, More Is BetterArrayFire 3.7CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance160.3246.2325.3intel_cpufreq performance153.7243.0320.9intel_cpufreq schedutil136.6221.0305.9P-State powersave89.3183.1264.3OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7CPU Power Consumption Monitor801602403204001. P-State performance: Approximate power consumption of 476 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 454 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 427 Joules per run.4. P-State powersave: Approximate power consumption of 342 Joules per run.
MinAvgMaxP-State performance46.047.254.0intel_cpufreq performance46.046.949.0intel_cpufreq schedutil42.044.848.0P-State powersave38.041.644.0OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7CPU Temperature Monitor1530456075

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance20K40K60K80K100KSE +/- 139.83, N = 3SE +/- 142.93, N = 3SE +/- 159.72, N = 4SE +/- 55.17, N = 491313.6091642.3391817.7691830.561. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.Cintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil50100150200250201.24203.56220.93223.98
MinAvgMaxP-State powersave80229893302intel_cpufreq schedutil180131143403intel_cpufreq performance310332413403P-State performance310232703404OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance191.4456.3597.0P-State performance193.4451.1596.8P-State powersave95.4413.3571.9intel_cpufreq schedutil94.7409.2564.8OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 2282 Joules per run.2. P-State performance: Approximate power consumption of 2255 Joules per run.3. P-State powersave: Approximate power consumption of 2067 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 2182 Joules per run.
MinAvgMaxintel_cpufreq performance54.067.372.0P-State performance55.066.773.0intel_cpufreq schedutil45.060.669.0P-State powersave46.060.068.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.Dintel_cpufreq schedutilintel_cpufreq performanceP-State powersaveP-State performance6001200180024003000SE +/- 32.51, N = 4SE +/- 5.86, N = 4SE +/- 29.00, N = 4SE +/- 15.07, N = 42926.262978.522999.723014.771. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave2468107.7457.7848.2208.745
MinAvgMaxP-State powersave80127613307intel_cpufreq schedutil310232313405intel_cpufreq performance310532793403P-State performance320232823403OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance189.4389.2549.9intel_cpufreq performance191.3382.7557.9intel_cpufreq schedutil121.9356.0540.0P-State powersave89.1343.0549.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1402804205607001. P-State performance: Approximate power consumption of 1557 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 1531 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1691 Joules per run.4. P-State powersave: Approximate power consumption of 1715 Joules per run.
MinAvgMaxintel_cpufreq performance59.066.574.0P-State powersave50.062.373.0intel_cpufreq schedutil50.061.669.0P-State performance57.061.668.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU 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 schedutilP-State powersaveP-State performanceintel_cpufreq performance10002000300040005000SE +/- 36.10, N = 4SE +/- 10.80, N = 4SE +/- 24.52, N = 4SE +/- 11.74, N = 44510.294538.694539.994574.831. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterArrayFire 3.7Test: BLAS CPUP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave369121512.1712.3312.4612.87
MinAvgMaxP-State powersave80230513408intel_cpufreq performance223333383433intel_cpufreq schedutil330033863408P-State performance340334073437OpenBenchmarking.orgMegahertz, More Is BetterArrayFire 3.7CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance193.5373.0497.4intel_cpufreq performance162.2371.0504.1intel_cpufreq schedutil142.1362.1489.2P-State powersave151.4352.8502.8OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7CPU Power Consumption Monitor1302603905206501. P-State performance: Approximate power consumption of 1492 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 1577 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1539 Joules per run.4. P-State powersave: Approximate power consumption of 1499 Joules per run.
MinAvgMaxintel_cpufreq performance47.054.663.0P-State performance47.052.163.0P-State powersave44.052.161.0intel_cpufreq schedutil46.050.962.0OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7CPU 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: 10P-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance1.17112.34223.51334.68445.8555SE +/- 0.099, N = 15SE +/- 0.066, N = 15SE +/- 0.014, N = 8SE +/- 0.013, N = 85.2055.1344.3414.3401. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxP-State powersave80124983404intel_cpufreq schedutil80228523404P-State performance340334043410intel_cpufreq performance340334053410OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance149.6209.4244.3P-State performance154.9207.2244.0intel_cpufreq schedutil58.2142.6217.8P-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. P-State performance: Approximate power consumption of 388 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 304 Joules per run.4. P-State powersave: Approximate power consumption of 273 Joules per run.
MinAvgMaxintel_cpufreq performance52.054.156.0P-State performance46.047.749.0intel_cpufreq schedutil40.045.451.0P-State powersave38.041.746.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor1632486480

Timed Mesa Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To CompileP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance510152025SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 318.9818.7518.5218.50
MinAvgMaxP-State powersave80129183404intel_cpufreq schedutil80231343404P-State performance294833463407intel_cpufreq performance304133643406OpenBenchmarking.orgMegahertz, More Is BetterTimed Mesa Compilation 21.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance171.9313.3623.7intel_cpufreq performance189.9301.5617.0intel_cpufreq schedutil65.1271.5488.7P-State powersave80.3259.4495.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 21.0CPU Power Consumption Monitor1603204806408001. P-State performance: Approximate power consumption of 1671 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 1508 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1629 Joules per run.4. P-State powersave: Approximate power consumption of 1556 Joules per run.
MinAvgMaxintel_cpufreq performance52.057.367.0P-State performance52.056.268.0intel_cpufreq schedutil46.054.365.0P-State powersave43.052.063.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Mesa Compilation 21.0CPU 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.3840x2160P-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance0.65931.31861.97792.63723.2965SE +/- 0.01, N = 4SE +/- 0.02, N = 4SE +/- 0.01, N = 5SE +/- 0.01, N = 52.872.882.932.93
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160P-State performanceP-State powersaveintel_cpufreq schedutilintel_cpufreq performance0.0020.0040.0060.0080.010.0080.0090.0090.009
MinAvgMaxP-State powersave80121203300intel_cpufreq schedutil212530503403intel_cpufreq performance290032863404P-State performance286133193404OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 1.4.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance159.5346.4561.4intel_cpufreq performance179.4341.8560.5P-State powersave71.7336.6551.4intel_cpufreq schedutil89.9324.7557.4OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor1402804205607001. P-State performance: Approximate power consumption of 1247 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 1230 Joules per run.3. P-State powersave: Approximate power consumption of 1094 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 1218 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

OSPray

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

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance714212835SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 527.7827.7827.7827.78MIN: 15.87 / MAX: 29.41MIN: 17.54 / MAX: 29.41MIN: 16.95 / MAX: 28.57MIN: 17.54 / MAX: 29.41
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path Tracerintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil0.01730.03460.05190.06920.08650.0710.0720.0750.077
MinAvgMaxP-State powersave80123703400intel_cpufreq schedutil251429713403P-State performance247329913404intel_cpufreq performance250830323405OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance152.7394.0593.4P-State performance189.3387.6594.0P-State powersave67.6368.0608.4intel_cpufreq schedutil81.8361.3543.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1603204806408001. intel_cpufreq performance: Approximate power consumption of 1261 Joules per run.2. P-State performance: Approximate power consumption of 1240 Joules per run.3. P-State powersave: Approximate power consumption of 1251 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 1156 Joules per run.
MinAvgMaxintel_cpufreq performance54.063.872.0P-State performance52.063.371.0intel_cpufreq schedutil47.060.870.0P-State powersave45.058.969.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU 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: CrownP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance1632486480SE +/- 0.21, N = 5SE +/- 0.18, N = 5SE +/- 0.18, N = 5SE +/- 0.34, N = 566.5367.7574.0674.24MIN: 59.75 / MAX: 87.7MIN: 60.74 / MAX: 88.34MIN: 64.5 / MAX: 94.28MIN: 64.44 / MAX: 93.9
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Crownintel_cpufreq performanceP-State powersaveP-State performanceintel_cpufreq schedutil0.04480.08960.13440.17920.2240.1810.1830.1850.199
MinAvgMaxP-State powersave80123842984intel_cpufreq schedutil180026593400P-State performance268530943404intel_cpufreq performance272330983409OpenBenchmarking.orgMegahertz, More Is BetterEmbree 3.13CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance191.2410.3575.3P-State performance198.9399.5489.3P-State powersave109.8362.7513.8intel_cpufreq schedutil121.3340.0510.0OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor1402804205607001. intel_cpufreq performance: Approximate power consumption of 1231 Joules per run.2. P-State performance: Approximate power consumption of 1199 Joules per run.3. P-State powersave: Approximate power consumption of 1088 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 1088 Joules per run.
MinAvgMaxintel_cpufreq performance54.065.571.0P-State performance53.064.471.0intel_cpufreq schedutil53.062.569.0P-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: LU.CP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance40K80K120K160K200KSE +/- 1423.68, N = 4SE +/- 196.76, N = 4SE +/- 495.98, N = 4SE +/- 364.13, N = 4174911.02177878.68186973.06187300.471. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave100200300400500440.34445.54467.72478.36
MinAvgMaxP-State powersave80228843300intel_cpufreq schedutil187231463404P-State performance310532673403intel_cpufreq performance310432883403OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance190.2425.4593.0intel_cpufreq performance195.4419.7579.6intel_cpufreq schedutil134.8380.3554.5P-State powersave84.6365.6554.0OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1603204806408001. P-State performance: Approximate power consumption of 1595 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 1574 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1521 Joules per run.4. P-State powersave: Approximate power consumption of 1463 Joules per run.
MinAvgMaxP-State performance55.066.673.0intel_cpufreq performance54.065.272.0intel_cpufreq schedutil47.060.768.0P-State powersave47.058.869.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU 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 schedutilP-State powersaveintel_cpufreq performanceP-State performance3691215SE +/- 0.01, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 4SE +/- 0.05, N = 411.2111.1911.0611.061. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
MinAvgMaxP-State powersave80226973075intel_cpufreq schedutil300331523405P-State performance300431773403intel_cpufreq performance300232053405OpenBenchmarking.orgMegahertz, More Is BetterXcompact3d Incompact3d 2021-03-11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance214.2429.1570.9intel_cpufreq performance160.8422.8573.1intel_cpufreq schedutil180.2396.0567.6P-State powersave111.3393.9566.7OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor1402804205607001. P-State performance: Approximate power consumption of 1716 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 1691 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1584 Joules per run.4. P-State powersave: Approximate power consumption of 1575 Joules per run.
MinAvgMaxintel_cpufreq performance52.060.965.0P-State performance51.060.466.0intel_cpufreq schedutil51.058.465.0P-State powersave46.056.966.0OpenBenchmarking.orgCelsius, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU 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 SolverP-State powersaveP-State performanceintel_cpufreq performanceintel_cpufreq schedutil1.08612.17223.25834.34445.4305SE +/- 0.041, N = 15SE +/- 0.036, N = 8SE +/- 0.019, N = 8SE +/- 0.014, N = 84.8274.7464.7294.7101. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxP-State powersave80124103406intel_cpufreq schedutil222633333403P-State performance340334033404intel_cpufreq performance340334033404OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance193.7311.0390.8intel_cpufreq performance194.1298.0490.6intel_cpufreq schedutil184.6297.3483.2P-State powersave119.5287.3496.8OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor1302603905206501. P-State performance: Approximate power consumption of 622 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 596 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 632 Joules per run.4. P-State powersave: Approximate power consumption of 575 Joules per run.
MinAvgMaxP-State performance54.059.668.0intel_cpufreq performance52.055.965.0intel_cpufreq schedutil49.053.563.0P-State powersave48.053.063.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance100200300400500SE +/- 1.53, N = 7SE +/- 2.47, N = 15SE +/- 4.77, N = 15SE +/- 3.11, N = 13206.54260.25453.67457.021. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil0.46710.93421.40131.86842.33551.9191.9221.9392.076
MinAvgMaxP-State powersave80117142305intel_cpufreq schedutil80124303396P-State performance340334033405intel_cpufreq performance340034033405OpenBenchmarking.orgMegahertz, More Is BetterSVT-VP9 0.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance158.6238.2290.6P-State performance171.6236.0292.6intel_cpufreq schedutil64.8125.4194.5P-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. P-State performance: Approximate power consumption of 362 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 251 Joules per run.4. P-State powersave: Approximate power consumption of 243 Joules per run.
MinAvgMaxintel_cpufreq performance47.049.055.0P-State performance46.048.055.0intel_cpufreq schedutil36.039.343.0P-State powersave30.032.136.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.3CPU Temperature Monitor1530456075

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 schedutilintel_cpufreq performanceP-State powersaveP-State performance20406080100SE +/- 0.80, N = 6SE +/- 0.56, N = 6SE +/- 0.79, N = 6SE +/- 0.42, N = 6102.70106.17106.62107.63MIN: 81.43 / MAX: 111.73MIN: 84.09 / MAX: 112.29MIN: 84.26 / MAX: 112.87MIN: 88.63 / MAX: 112.78
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragonintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave0.0650.130.1950.260.3250.2640.2740.2740.289
MinAvgMaxP-State powersave80123773012intel_cpufreq schedutil138126033400P-State performance266631383403intel_cpufreq performance265131443405OpenBenchmarking.orgMegahertz, More Is BetterEmbree 3.13CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance166.4402.7597.3P-State performance154.3392.3597.7intel_cpufreq schedutil157.4374.6575.1P-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. P-State performance: Approximate power consumption of 981 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 999 Joules per run.4. P-State powersave: Approximate power consumption of 982 Joules per run.
MinAvgMaxintel_cpufreq schedutil57.065.471.0intel_cpufreq performance56.065.372.0P-State performance55.063.771.0P-State powersave52.062.470.0OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.13CPU Temperature Monitor20406080100

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance100200300400500SE +/- 1.16, N = 7SE +/- 2.52, N = 15SE +/- 2.03, N = 10SE +/- 2.50, N = 10210.92262.78460.44464.711. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pP-State performanceintel_cpufreq performanceP-State powersaveintel_cpufreq schedutil0.45720.91441.37161.82882.2861.9921.9992.0292.032
MinAvgMaxP-State powersave80118002300intel_cpufreq schedutil230025563404P-State performance340334033404intel_cpufreq performance340334033405OpenBenchmarking.orgMegahertz, More Is BetterSVT-VP9 0.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance176.9232.4289.1P-State performance152.0231.2283.3intel_cpufreq schedutil61.7129.3201.5P-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. P-State performance: Approximate power consumption of 347 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 259 Joules per run.4. P-State powersave: Approximate power consumption of 223 Joules per run.
MinAvgMaxintel_cpufreq performance47.048.655.0P-State performance46.047.953.0intel_cpufreq schedutil36.038.543.0P-State powersave30.031.333.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.3CPU Temperature Monitor1530456075

SVT-HEVC

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance70140210280350SE +/- 1.49, N = 8SE +/- 1.34, N = 15SE +/- 0.58, N = 10SE +/- 1.23, N = 10168.38193.80305.77309.131. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave0.32870.65740.98611.31481.64351.1981.2161.4491.461
MinAvgMaxP-State powersave80115992308intel_cpufreq schedutil142924503400intel_cpufreq performance340034033405P-State performance340334033403OpenBenchmarking.orgMegahertz, More Is BetterSVT-HEVC 1.5.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance193.9255.3332.3intel_cpufreq performance175.6254.1330.5intel_cpufreq schedutil68.6133.7182.9P-State powersave54.7115.2180.8OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor801602403204001. P-State performance: Approximate power consumption of 383 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 407 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 267 Joules per run.4. P-State powersave: Approximate power consumption of 245 Joules per run.
MinAvgMaxintel_cpufreq performance50.053.160.0P-State performance49.051.358.0intel_cpufreq schedutil39.043.248.0P-State powersave33.036.840.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-HEVC 1.5.0CPU Temperature Monitor1632486480

OSPray

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

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance306090120150SE +/- 0.00, N = 8SE +/- 0.00, N = 8SE +/- 1.26, N = 15SE +/- 1.64, N = 15111.11111.11112.96114.81MIN: 22.22MIN: 22.73MIN: 26.32 / MAX: 125MIN: 24.39 / MAX: 125
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave0.12850.2570.38550.5140.64250.3650.3700.5700.571
MinAvgMaxP-State powersave80119862628intel_cpufreq schedutil101922693267intel_cpufreq performance220933213403P-State performance296833633404OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance174.6314.4422.6intel_cpufreq performance154.4305.6423.6intel_cpufreq schedutil70.1194.9328.7P-State powersave69.6194.7334.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1102203304405501. P-State performance: Approximate power consumption of 503 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 489 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 390 Joules per run.4. P-State powersave: Approximate power consumption of 365 Joules per run.
MinAvgMaxintel_cpufreq performance45.054.165.0P-State performance46.054.064.0intel_cpufreq schedutil43.047.757.0P-State powersave41.045.654.0OpenBenchmarking.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: FT.CP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance20K40K60K80K100KSE +/- 842.11, N = 7SE +/- 807.72, N = 7SE +/- 83.85, N = 7SE +/- 63.65, N = 790989.7391970.99100543.72100763.111. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.Cintel_cpufreq schedutilP-State performanceintel_cpufreq performanceP-State powersave60120180240300280.10285.10293.75296.44
MinAvgMaxP-State powersave80124993300intel_cpufreq schedutil217632233405intel_cpufreq performance229432983405P-State performance320233593403OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance172.6352.7574.1intel_cpufreq performance177.4343.0548.2intel_cpufreq schedutil116.2328.4543.4P-State powersave76.0306.9553.3OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1402804205607001. P-State performance: Approximate power consumption of 806 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 735 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 844 Joules per run.4. P-State powersave: Approximate power consumption of 789 Joules per run.
MinAvgMaxP-State performance57.062.970.0intel_cpufreq performance55.061.268.0intel_cpufreq schedutil49.056.567.0P-State powersave48.055.363.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.Cintel_cpufreq schedutilP-State powersaveintel_cpufreq performanceP-State performance9K18K27K36K45KSE +/- 42.28, N = 8SE +/- 83.38, N = 7SE +/- 69.22, N = 8SE +/- 113.89, N = 839430.6639485.7240226.0240261.261. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave306090120150116.28117.69128.90137.13
MinAvgMaxP-State powersave80124403304intel_cpufreq schedutil230131853404intel_cpufreq performance320233423403P-State performance320033713404OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance178.9346.2549.4intel_cpufreq performance182.4341.8554.4intel_cpufreq schedutil70.7305.9510.9P-State powersave56.5287.9551.8OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1402804205607001. P-State performance: Approximate power consumption of 736 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 684 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 688 Joules per run.4. P-State powersave: Approximate power consumption of 699 Joules per run.
MinAvgMaxP-State performance48.057.867.0intel_cpufreq performance52.057.164.0intel_cpufreq schedutil43.051.962.0P-State powersave41.049.661.0OpenBenchmarking.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: NASA Streamlines - Renderer: SciVisP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance306090120150SE +/- 0.00, N = 9SE +/- 0.00, N = 9125.00125.00142.86142.86MIN: 30.3 / MAX: 142.86MIN: 29.41 / MAX: 142.86MIN: 31.25MIN: 31.25
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave0.13750.2750.41250.550.68750.5130.5200.5280.611
MinAvgMaxP-State powersave80120123400intel_cpufreq schedutil220730533404intel_cpufreq performance264033163405P-State performance340034033408OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance155.8278.3386.1P-State performance153.5274.6384.7intel_cpufreq schedutil95.1236.6359.0P-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 performance56.060.371.0P-State performance55.059.670.0intel_cpufreq schedutil53.057.669.0P-State powersave51.054.867.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance30K60K90K120K150KSE +/- 480.22, N = 8SE +/- 203.66, N = 8SE +/- 133.35, N = 9SE +/- 134.33, N = 9114946.46115501.41123176.72123544.091. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave100200300400500369.71372.37441.37458.43
MinAvgMaxP-State powersave80225843301intel_cpufreq schedutil229931863403P-State performance310133863404intel_cpufreq performance340134033403OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance151.7334.2435.1intel_cpufreq performance196.0330.8404.0intel_cpufreq schedutil103.8261.7454.3P-State powersave104.7250.7444.1OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1202403604806001. P-State performance: Approximate power consumption of 668 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 662 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 523 Joules per run.4. P-State powersave: Approximate power consumption of 501 Joules per run.
MinAvgMaxP-State performance55.062.270.0intel_cpufreq performance55.061.869.0intel_cpufreq schedutil50.052.755.0P-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: EP.CP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance17003400510068008500SE +/- 109.82, N = 12SE +/- 121.94, N = 15SE +/- 165.19, N = 15SE +/- 128.21, N = 156051.906157.587610.187705.441. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave102030405027.7028.9131.0442.62
MinAvgMaxP-State powersave80118763000intel_cpufreq schedutil197128763404P-State performance311033813410intel_cpufreq performance340034033409OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance166.2274.7393.6intel_cpufreq performance175.0266.5346.9intel_cpufreq schedutil103.0198.4382.4P-State powersave68.7142.0325.6OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1102203304405501. P-State performance: Approximate power consumption of 440 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 409 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 383 Joules per run.4. P-State powersave: Approximate power consumption of 284 Joules per run.
MinAvgMaxP-State performance53.056.067.0intel_cpufreq performance52.055.067.0intel_cpufreq schedutil41.046.655.0P-State powersave39.045.053.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

SVT-HEVC

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance120240360480600SE +/- 1.12, N = 9SE +/- 3.58, N = 15SE +/- 1.99, N = 11SE +/- 0.97, N = 11258.65345.48574.88576.991. (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 performanceP-State performanceP-State powersaveintel_cpufreq schedutil0.66111.32221.98332.64443.30552.5172.5412.6382.938
MinAvgMaxP-State powersave80119222302intel_cpufreq schedutil230026973403intel_cpufreq performance340034033404P-State performance340034033405OpenBenchmarking.orgMegahertz, More Is BetterSVT-HEVC 1.5.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxintel_cpufreq performance161.5228.4274.5P-State performance149.6227.0275.3intel_cpufreq schedutil56.9117.6166.9P-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. P-State performance: Approximate power consumption of 310 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 196 Joules per run.4. P-State powersave: Approximate power consumption of 174 Joules per run.
MinAvgMaxintel_cpufreq performance48.050.360.0P-State performance47.048.957.0intel_cpufreq schedutil37.039.044.0P-State powersave31.033.136.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-HEVC 1.5.0CPU Temperature Monitor1632486480

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance30K60K90K120K150KSE +/- 333.81, N = 10SE +/- 233.06, N = 10SE +/- 89.79, N = 10SE +/- 209.39, N = 10116754.16117869.49120084.27120124.051. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave150300450600750412.87427.24540.22680.15
MinAvgMaxP-State powersave80119413057intel_cpufreq schedutil230030853404intel_cpufreq performance334833993405P-State performance340034023404OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State performance151.1290.9431.5intel_cpufreq performance188.3281.2385.2intel_cpufreq schedutil78.8218.2471.0P-State powersave95.5171.7333.1OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1202403604806001. P-State performance: Approximate power consumption of 465 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 450 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 393 Joules per run.4. P-State powersave: Approximate power consumption of 343 Joules per run.
MinAvgMaxintel_cpufreq performance54.057.464.0P-State performance50.052.960.0intel_cpufreq schedutil46.051.761.0P-State powersave44.050.159.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

CPU Temperature Monitor

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

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System Monitoringintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil130260390520650Min: 137.84 / Avg: 417.23 / Max: 641.13Min: 70.83 / Avg: 413.76 / Max: 639.8Min: 53.58 / Avg: 371.79 / Max: 722.02Min: 53.9 / Avg: 368.68 / Max: 634.98

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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

103 Results Shown

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

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.