AMD P-State Linux 6.3 Testing

2 x AMD EPYC 7773X 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2302279-NE-AMDPSTATE45
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Identifier
Performance Per
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Date
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  Test
  Duration
amd_pstate_epp powersave balance_performance
February 21 2023
  12 Hours, 18 Minutes
amd_pstate_epp performance balance_performance
February 22 2023
  10 Hours, 43 Minutes
amd_pstate_epp powersave power
February 22 2023
  12 Hours, 39 Minutes
amd_pstate_epp performance performance
February 23 2023
  9 Hours, 52 Minutes
amd_pstate schedutil
February 23 2023
  17 Hours, 34 Minutes
amd_pstate performance
February 24 2023
  11 Hours, 43 Minutes
amd_pstate powersave
February 24 2023
  1 Day, 8 Hours, 2 Minutes
amd_pstate ondemand
February 25 2023
  13 Hours, 38 Minutes
acpi_cpufreq schedutil
February 26 2023
  13 Hours, 7 Minutes
acpi_cpufreq ondemand
February 26 2023
  11 Hours, 42 Minutes
acpi_cpufreq performance
February 27 2023
  10 Hours, 14 Minutes
Invert Behavior (Only Show Selected Data)
  14 Hours, 8 Minutes

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AMD P-State Linux 6.3 TestingOpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 7773X 64-Core @ 3.53GHz (128 Cores / 256 Threads)2 x AMD EPYC 7773X 64-Core @ 2.20GHz (128 Cores / 256 Threads)AMD DAYTONA_X (RYM1009B BIOS)AMD Starship/Matisse512GB800GB INTEL SSDPF21Q800GBASPEEDVE2282 x Mellanox MT27710Ubuntu 22.046.2.0-phx (x86_64)GNOME Shell 42.5X Server 1.21.1.31.3.224GCC 11.3.0 + LLVM 14.0.0ext41920x1080ProcessorsMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionAMD P-State Linux 6.3 Testing BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-gcn/usr --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 - amd_pstate_epp powersave balance_performance: Scaling Governor: amd_pstate_epp powersave (EPP: balance_performance) - CPU Microcode: 0xa001229 - amd_pstate_epp performance balance_performance: Scaling Governor: amd_pstate_epp performance (EPP: performance) - CPU Microcode: 0xa001229 - amd_pstate_epp powersave power: Scaling Governor: amd_pstate_epp powersave (EPP: power) - CPU Microcode: 0xa001229 - amd_pstate_epp performance performance: Scaling Governor: amd_pstate_epp performance (EPP: performance) - CPU Microcode: 0xa001229 - amd_pstate schedutil: Scaling Governor: amd-pstate schedutil (Boost: Enabled) - CPU Microcode: 0xa001229 - amd_pstate performance: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa001229 - amd_pstate powersave: Scaling Governor: amd-pstate powersave (Boost: Enabled) - CPU Microcode: 0xa001229 - amd_pstate ondemand: Scaling Governor: amd-pstate ondemand (Boost: Enabled) - CPU Microcode: 0xa001229 - acpi_cpufreq schedutil: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001229 - acpi_cpufreq ondemand: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa001229 - acpi_cpufreq performance: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001229 - Python 3.10.6- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

amd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave poweramd_pstate_epp performance performanceamd_pstate schedutilamd_pstate performanceamd_pstate powersaveamd_pstate ondemandacpi_cpufreq schedutilacpi_cpufreq ondemandacpi_cpufreq performanceLogarithmic Result OverviewPhoronix Test SuitePyBenchPHPBenchZstd CompressionStargate Digital Audio WorkstationVP9 libvpx EncodingTimed Gem5 CompilationBRL-CADOpenVINOTimed Node.js CompilationKvazaarTimed Godot Game Engine Compilationuvg266VVenCTimed Linux Kernel CompilationBlenderNAMD7-Zip CompressionSVT-AV1OpenFOAMClickHousenginxNeural Magic DeepSparseTensorFlowOpenVKLGROMACSCockroachDBEmbreex265PostgreSQLXcompact3d Incompact3dOSPRay Studio

amd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave poweramd_pstate_epp performance performanceamd_pstate schedutilamd_pstate performanceamd_pstate powersaveamd_pstate ondemandacpi_cpufreq schedutilacpi_cpufreq ondemandacpi_cpufreq performancePer Watt Result OverviewPhoronix Test Suite100%298%496%695%893%PHPBenchZstd CompressionVP9 libvpx EncodingMeta Performance Per WattsStargate Digital Audio WorkstationBRL-CADSVT-AV1Kvazaaruvg266VVenCx265ClickHouseTensorFlowCockroachDB7-Zip CompressionEmbreenginxGROMACSOpenVKLP.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

AMD P-State Linux 6.3 Testingphpbench: PHP Benchmark Suitecompress-zstd: 19 - Compression Speedpybench: Total For Average Test Timescompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 19, Long Mode - Decompression Speedospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 3 - 4K - 32 - Path Tracerstargate: 192000 - 1024build-gem5: Time To Compilesvt-av1: Preset 4 - Bosphorus 4Kbrl-cad: VGR Performance Metrickvazaar: Bosphorus 4K - Super Fastkvazaar: Bosphorus 4K - Ultra Fastcompress-7zip: Decompression Ratingbuild-nodejs: Time To Compilevvenc: Bosphorus 4K - Fastospray-studio: 1 - 4K - 1 - Path Tracerbuild-godot: Time To Compilebuild-linux-kernel: defconfiguvg266: Bosphorus 4K - Ultra Fastuvg266: Bosphorus 4K - Mediumuvg266: Bosphorus 4K - Super Fastblender: Classroom - CPU-Onlyopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timekvazaar: Bosphorus 4K - Mediumblender: Barbershop - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlynamd: ATPase Simulation - 327,506 Atomsvvenc: Bosphorus 4K - Fasteropenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUbuild-linux-kernel: allmodconfigopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUembree: Pathtracer ISPC - Crownopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUcockroach: MoVR - 512svt-av1: Preset 13 - Bosphorus 4Kospray-studio: 3 - 4K - 1 - Path Tracerdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamclickhouse: 100M Rows Hits Dataset, First Run / Cold Cachetensorflow: CPU - 256 - AlexNetdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamnginx: 500deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamopenvino: Machine Translation EN To DE FP16 - CPUclickhouse: 100M Rows Hits Dataset, Second Runopenvino: Machine Translation EN To DE FP16 - CPUopenvkl: vklBenchmark Scalarclickhouse: 100M Rows Hits Dataset, Third Runcompress-7zip: Compression Ratingpgbench: 100 - 1000 - Read Writepgbench: 100 - 1000 - Read Write - Average Latencyopenvkl: vklBenchmark ISPCgromacs: MPI CPU - water_GMX50_barepgbench: 100 - 800 - Read Write - Average Latencypgbench: 100 - 800 - Read Writex265: Bosphorus 4Kopenfoam: drivaerFastback, Medium Mesh Size - Execution Timetensorflow: CPU - 256 - GoogLeNetcockroach: KV, 10% Reads - 512deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streampgbench: 100 - 800 - Read Only - Average Latencypgbench: 100 - 800 - Read Onlypgbench: 100 - 1000 - Read Onlypgbench: 100 - 1000 - Read Only - Average Latencyembree: Pathtracer ISPC - Asian Dragonincompact3d: X3D-benchmarking input.i3dopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUpgbench: 100 - 500 - Read Write - Average Latencypgbench: 100 - 500 - Read Writepgbench: 100 - 500 - Read Only - Average Latencypgbench: 100 - 500 - Read Onlycockroach: KV, 95% Reads - 512vpxenc: Speed 5 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Kamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave poweramd_pstate_epp performance performanceamd_pstate schedutilamd_pstate performanceamd_pstate powersaveamd_pstate ondemandacpi_cpufreq schedutilacpi_cpufreq ondemandacpi_cpufreq performance68768216.010038.911278.31195.035438417982.059259157.1023.453285398347.9750.67716703111.9493.359110141.89825.52141.1324.2839.9637.94116.0522729.42141.7919.1745.990.222866.3265291.4524.17176.49553.091195.353738.0417.10122.501415.524030.03641.8170.2651304108.1971587.7380355.1287.75403.291830.096776.986672.845173.0239868.0756158.1292869.2150307.0385610.7001104.5730207.6114146738.16310.296205.6828267.15373.47239.05364372.985004712197845.50951411.07932.9612427518.56167.40938.4144725.5926.202868.91820.641124826612075400.82892.2064264.91048117.493654.513.5135205.4717.372288730.390128855075876.411.63175.45569747817.69989.281278.61203.635573416502.348079149.7674.158290518154.6956.14726521105.5294.022110337.32122.62347.2527.0146.2637.68114.8688531.99140.1818.8045.720.222707.3975294.9724.16172.88453.071195.603748.1717.06123.145815.544015.91761.0194.1031299108.1954587.8421395.5397.12404.9534830.013176.979072.949772.9379867.9275157.5501868.8719307.6420609.6137104.7553207.4377147764.25310.4330205.4179266.96409.86239.29374406.995223482429941.17751611.17929.8232683020.55170.7147840.1950217.2929.789468.70560.644124172612090330.82794.7841264.59046417.413670.783.4535601.8314.638356100.383130609986214.813.37186.04867120715.210088.721269.81186.035243415321.801238173.2012.443286395145.5641.83661420120.4832.471110247.93530.83333.7617.3333.7938.35116.2828220.66143.0419.7446.730.224504.7695277.0224.24184.47052.911199.873730.6617.14121.297015.504033.63570.5145.3231303108.1498587.7795339.6865.63403.5860829.603577.020272.795273.0501867.0199158.0751868.9246307.7129609.8987104.6604207.3328145614.76309.3788205.6999268.24349.30238.16346353.174596172152246.47447711.13133.1292417315.33169.2499231.6443287.2931.600568.55910.642124591412264290.81593.7279263.30023217.533645.603.3236975.3417.486286820.387129279874380.07.95155.77070028717.510109.261276.21203.335210416862.346447148.5034.181298071954.7755.85733882105.8254.023110137.01122.53046.0827.0646.3137.57116.1938432.30140.3618.9545.750.220217.3525291.0024.17172.85752.791203.523744.8517.07122.872915.554005.03763.4188.4231302108.1144587.6097392.9596.73404.5464830.324176.905173.056173.1372866.9818157.7002868.2616307.8920610.3155104.6233207.1853152654.86310.7448205.3031266.56407.73239.70385394.985144432608538.34151211.07429.0002759620.63167.8186440.3949015.5931.582168.58130.645124040612267430.81593.5012264.82454417.373679.313.3836507.1115.529322860.389128604286477.312.83173.31471112517.19879.201261.81191.536976437050.811418156.9453.322283650426.2126.54699228113.1313.136116641.94025.39221.6512.2525.4340.04127.8552714.39147.4620.2648.490.234206.2305029.0525.43182.76850.351260.491416.7746.49116.753014.634262.29195.972.2211376104.8933605.6728252.7936.50388.6392809.904878.868670.749971.0074893.4282164.2008895.1272297.1387587.4762108.6614214.4729138510.00299.5680212.6277265.31254.40240.82327251.843949821261381.1924688.48266.3871239716.36182.4368926.6341485.5897.637571.16171.1467049297149801.41188.8022267.53609232.422062.043.5533751.5827.744192980.79663608872179.63.0690.27770121517.610109.311188.11171.235186415882.363070146.6444.184281535653.7755.27746376104.9344.021109837.05322.51945.4626.8945.4137.73116.1087532.00140.3518.8945.770.224647.3065292.0824.17173.63653.031195.233749.6917.05123.024815.524030.79766.8191.0461300108.4041586.8584394.3297.50404.2950830.851976.906872.907973.2692866.9595157.7992867.8993307.2669609.9637104.7278207.6741151325.01310.3004205.4057267.30404.95239.02374406.415306892490440.15553411.05328.7152788020.74168.79940.8949340.4930.493268.64990.630126868812308410.81293.6050265.31262217.373678.913.3936428.7615.257328580.381131183782071.413.32182.358795701.9787751.06146.1140.12917433329500.3014501100.3630.5584056147.437.72104287752.9860.56867000258.873156.7836.883.976.77254.46773.966844.83933.41124.48297.671.409821.157830.31153.781094.3748.387565.21596.04107.1719.66852.5424236.97126.832.2656854818.20483485.212966.8116.5470.8684147.6880431.959712.968313.00284868.1057884.29134864.702855.2245109.7693577.76881143.055527774.7056.65821124.304651.5275.861229.867276.661009704973201.1011022.167146.57254654.37773.032838.7411461.4215.5167295.49182.5223173603122453.20324.7917540.544881315.26202.8324.555175.9675.98466861.57131848016811.81.8636.64770534117.210049.131280.51178.035440418971.358549153.9033.865286374252.1752.60739016109.8133.676111840.81224.52041.9024.5841.5737.85119.6347130.32141.9119.1846.190.222896.6465224.8324.48177.06352.481210.761960.3036.35121.857615.244103.64574.8161.7781322107.4707589.6910297.7775.69401.7313834.463876.566172.519572.4101876.3321158.9464876.4961306.3994607.3304105.1513208.0910122126.56309.5958206.1379279.33306.46228.75363310.664853871787555.9545149.55041.9881905619.29167.9049137.0345780.3931.203268.59790.8159977429559771.06992.8004262.40311735.391915.373.4035501.2116.436324860.490103770375334.78.47171.87769878517.49999.291270.91203.235505421302.346112149.2224.013302117152.3252.93748549106.4663.767110337.57622.61040.8221.2140.7137.61116.4353822.97140.5518.9045.950.220257.3475292.4224.17172.60653.061195.763741.0617.09122.705515.414054.30438.2144.3421306108.1330587.7789351.2179.36404.2730828.896677.098073.102673.0290866.6223157.8251868.8157307.7165609.7624104.7469207.2711146083.16310.0940205.4931266.14362.27239.94376352.854758612256744.36453111.17333.7232374320.67166.4756639.2447827.0932.002768.54510.636125806612378710.80893.7615263.62528517.443663.483.4136248.3817.909280160.389129147179962.214.36167.61170821817.510069.211264.71203.235628422642.326770152.9904.090281426954.7855.58740039107.1433.974112038.36523.44044.5027.2045.1937.92120.1038332.36141.9819.0045.920.222907.3735250.1524.36174.94652.761203.423689.9717.33120.799815.444041.31698.0180.3431322107.8991588.6134351.3994.62403.2806829.174577.010772.772972.7821872.0650158.0475872.8912306.6822608.3023105.0236207.8753149876.52308.6765206.4473264.82357.63241.17357357.945070392227944.89152410.85334.0592349319.90168.9986940.0049459.9929.791068.70680.745107450010827940.92492.9537264.79713917.653621.583.4435666.6917.194293470.445112422481782.310.72180.33269981617.510029.121272.81209.135406418592.367074147.0024.182292157255.0355.92742955105.5414.050110437.38422.65246.4526.9346.0737.71115.7560832.09140.4519.0145.850.224417.3205291.8124.17173.63453.121195.143741.3517.09123.051915.494032.10765.2189.1311306108.1608587.3828393.1595.71404.1304828.816177.058873.159273.2510867.8296157.8814869.1872307.1658609.0422104.8041207.5798147285.78310.6145205.2817268.04410.46238.32367401.815282892525239.60252411.12529.5372709320.96164.0404640.4249731.9928.538168.76500.648123486912026370.83291.3724263.62754317.483655.413.7232979.7415.183330190.389128590586045.214.17180.860OpenBenchmarking.org

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suiteamd_pstate schedutilacpi_cpufreq ondemandamd_pstate ondemandamd_pstate performanceamd_pstate_epp performance performanceacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate powersave150K300K450K600K750KSE +/- 5021.57, N = 3SE +/- 5594.67, N = 3SE +/- 5843.40, N = 3SE +/- 3225.60, N = 3SE +/- 4455.74, N = 3SE +/- 4034.04, N = 3SE +/- 2191.80, N = 3SE +/- 5808.55, N = 12SE +/- 2423.31, N = 3SE +/- 981.48, N = 3SE +/- 423.55, N = 371112570821870534170121570028769981669878569747868768267120779570

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression Speedamd_pstate performanceamd_pstate_epp performance balance_performanceacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate_epp performance performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate schedutilamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate powersave48121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 5SE +/- 0.03, N = 3SE +/- 0.01, N = 317.6017.6017.5017.5017.5017.4017.2017.1016.0015.201.971. (CC) gcc options: -O3 -pthread -lz -llzma

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test Timesamd_pstate schedutilamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp powersave poweramd_pstate_epp performance performanceamd_pstate performanceamd_pstate powersave2K4K6K8K10KSE +/- 2.85, N = 3SE +/- 6.01, N = 3SE +/- 7.81, N = 3SE +/- 5.81, N = 3SE +/- 0.88, N = 3SE +/- 5.81, N = 3SE +/- 9.13, N = 3SE +/- 7.22, N = 3SE +/- 4.04, N = 3SE +/- 3.28, N = 3SE +/- 41.93, N = 398799899910021003100410061008101010108775

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression Speedamd_pstate performanceacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq ondemandamd_pstate schedutilamd_pstate ondemandacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate powersave3691215SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 39.319.299.289.269.219.209.139.128.918.721.061. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression Speedamd_pstate ondemandamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate_epp powersave poweracpi_cpufreq ondemandamd_pstate schedutilamd_pstate performanceamd_pstate powersave30060090012001500SE +/- 5.25, N = 3SE +/- 4.93, N = 3SE +/- 3.84, N = 5SE +/- 6.13, N = 3SE +/- 0.97, N = 3SE +/- 2.01, N = 3SE +/- 2.19, N = 3SE +/- 1.32, N = 3SE +/- 1.88, N = 3SE +/- 28.63, N = 3SE +/- 0.03, N = 31280.51278.61278.31276.21272.81270.91269.81264.71261.81188.1146.11. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression Speedacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate ondemandamd_pstate performanceamd_pstate powersave30060090012001500SE +/- 7.61, N = 3SE +/- 7.42, N = 3SE +/- 5.97, N = 3SE +/- 11.09, N = 3SE +/- 9.03, N = 3SE +/- 1.23, N = 3SE +/- 1.07, N = 3SE +/- 20.88, N = 3SE +/- 11.54, N = 3SE +/- 18.37, N = 3SE +/- 0.15, N = 31209.11203.61203.31203.21203.21195.01191.51186.01178.01171.2140.11. (CC) gcc options: -O3 -pthread -lz -llzma

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity 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.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Traceramd_pstate performanceamd_pstate_epp performance performanceamd_pstate_epp powersave poweracpi_cpufreq performanceamd_pstate_epp powersave balance_performanceamd_pstate ondemandacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceacpi_cpufreq ondemandamd_pstate schedutilamd_pstate powersave60K120K180K240K300KSE +/- 23.07, N = 3SE +/- 31.26, N = 3SE +/- 69.50, N = 3SE +/- 117.33, N = 3SE +/- 29.34, N = 3SE +/- 52.33, N = 3SE +/- 88.76, N = 3SE +/- 76.22, N = 3SE +/- 25.51, N = 3SE +/- 66.07, N = 3SE +/- 829.19, N = 3351863521035243354063543835440355053557335628369762917431. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Traceramd_pstate_epp powersave poweramd_pstate performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceamd_pstate ondemandacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate schedutilamd_pstate powersave70K140K210K280K350KSE +/- 90.34, N = 3SE +/- 83.21, N = 3SE +/- 58.85, N = 3SE +/- 36.04, N = 3SE +/- 62.74, N = 3SE +/- 98.82, N = 3SE +/- 85.87, N = 3SE +/- 70.48, N = 3SE +/- 28.29, N = 3SE +/- 7.42, N = 3SE +/- 671.47, N = 3415324158841650416864179841859418974213042264437053329501. (CXX) g++ options: -O3 -lm -ldl

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024acpi_cpufreq performanceamd_pstate performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate ondemandamd_pstate schedutilamd_pstate powersave0.53261.06521.59782.13042.663SE +/- 0.015239, N = 3SE +/- 0.008972, N = 3SE +/- 0.005634, N = 3SE +/- 0.031447, N = 3SE +/- 0.001977, N = 3SE +/- 0.003977, N = 3SE +/- 0.017556, N = 15SE +/- 0.042633, N = 12SE +/- 0.009049, N = 3SE +/- 0.011706, N = 12SE +/- 0.000425, N = 32.3670742.3630702.3480792.3464472.3461122.3267702.0592591.8012381.3585490.8114180.3014501. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Timed Gem5 Compilation

This test times how long it takes to compile Gem5. Gem5 is a simulator for computer system architecture research. Gem5 is widely used for computer architecture research within the industry, academia, and more. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 21.2Time To Compileamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance performanceacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate powersave2004006008001000SE +/- 0.56, N = 3SE +/- 0.41, N = 3SE +/- 0.95, N = 3SE +/- 1.73, N = 3SE +/- 1.78, N = 3SE +/- 1.68, N = 4SE +/- 1.36, N = 3SE +/- 1.72, N = 3SE +/- 1.30, N = 3SE +/- 1.51, N = 8SE +/- 13.66, N = 3146.64147.00148.50149.22149.77152.99153.90156.95157.10173.201100.36

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 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4Kamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate ondemandamd_pstate_epp powersave balance_performanceamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate powersave0.94141.88282.82423.76564.707SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.016, N = 3SE +/- 0.008, N = 3SE +/- 0.025, N = 3SE +/- 0.003, N = 3SE +/- 0.020, N = 3SE +/- 0.013, N = 3SE +/- 0.022, N = 3SE +/- 0.007, N = 3SE +/- 0.001, N = 34.1844.1824.1814.1584.0904.0133.8653.4533.3222.4430.5581. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

BRL-CAD

BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.34VGR Performance Metricacpi_cpufreq schedutilamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave poweramd_pstate ondemandamd_pstate_epp powersave balance_performanceamd_pstate schedutilamd_pstate performanceacpi_cpufreq ondemandamd_pstate powersave600K1200K1800K2400K3000K30211712980719292157229051812863951286374228539832836504281535628142694056141. (CXX) g++ options: -std=c++14 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lregex_brl -lz_brl -lnetpbm -ldl -lm -ltk8.6

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC 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 2.2Video Input: Bosphorus 4K - Video Preset: Super Fastacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceamd_pstate performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave1224364860SE +/- 0.52, N = 5SE +/- 0.50, N = 5SE +/- 0.44, N = 5SE +/- 0.60, N = 5SE +/- 0.51, N = 5SE +/- 0.20, N = 4SE +/- 0.26, N = 4SE +/- 0.60, N = 15SE +/- 1.49, N = 15SE +/- 0.13, N = 3SE +/- 0.08, N = 355.0354.7854.7754.6953.7752.3252.1747.9745.5626.217.431. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra Fastamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate_epp performance performanceacpi_cpufreq ondemandamd_pstate performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave1326395265SE +/- 0.40, N = 5SE +/- 0.48, N = 5SE +/- 0.46, N = 5SE +/- 0.48, N = 5SE +/- 0.11, N = 5SE +/- 0.44, N = 5SE +/- 0.50, N = 4SE +/- 0.70, N = 15SE +/- 1.47, N = 15SE +/- 0.10, N = 3SE +/- 0.07, N = 356.1455.9255.8555.5855.2752.9352.6050.6741.8326.547.721. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Ratingacpi_cpufreq schedutilamd_pstate performanceacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate powersave160K320K480K640K800KSE +/- 156.12, N = 3SE +/- 2158.20, N = 3SE +/- 2437.88, N = 6SE +/- 1725.95, N = 3SE +/- 1773.36, N = 3SE +/- 10875.45, N = 4SE +/- 18690.79, N = 3SE +/- 858.55, N = 3SE +/- 2716.47, N = 7SE +/- 5960.12, N = 3SE +/- 136.02, N = 37485497463767429557400397390167338827265217167036992286614201042871. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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 18.8Time To Compileamd_pstate performanceamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate_epp performance performanceacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate ondemandamd_pstate_epp powersave balance_performanceamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate powersave160320480640800SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.19, N = 3SE +/- 0.23, N = 3SE +/- 0.16, N = 3SE +/- 0.13, N = 3SE +/- 0.68, N = 3SE +/- 0.24, N = 3SE +/- 0.22, N = 3SE +/- 0.88, N = 3104.93105.53105.54105.83106.47107.14109.81111.95113.13120.48752.99

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under The Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 4K - Video Preset: Fastacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceamd_pstate performanceacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate ondemandamd_pstate_epp powersave balance_performanceamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate powersave0.91131.82262.73393.64524.5565SE +/- 0.005, N = 3SE +/- 0.018, N = 3SE +/- 0.011, N = 3SE +/- 0.021, N = 3SE +/- 0.014, N = 3SE +/- 0.007, N = 3SE +/- 0.009, N = 3SE +/- 0.023, N = 3SE +/- 0.009, N = 3SE +/- 0.011, N = 3SE +/- 0.002, N = 34.0504.0234.0224.0213.9743.7673.6763.3593.1362.4710.5681. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity 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.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Traceramd_pstate performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave poweramd_pstate_epp performance balance_performanceacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate ondemandacpi_cpufreq ondemandamd_pstate schedutilamd_pstate powersave14K28K42K56K70KSE +/- 1.15, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 3SE +/- 0.67, N = 3SE +/- 1.33, N = 3SE +/- 2.85, N = 3SE +/- 1.00, N = 3SE +/- 2.03, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 3SE +/- 875.42, N = 121098110111011102110311031104111811201166670001. (CXX) g++ options: -O3 -lm -ldl

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 Compileamd_pstate_epp performance performanceamd_pstate performanceamd_pstate_epp performance balance_performanceacpi_cpufreq performanceacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate ondemandamd_pstate_epp powersave balance_performanceamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate powersave60120180240300SE +/- 0.27, N = 3SE +/- 0.46, N = 3SE +/- 0.05, N = 3SE +/- 0.23, N = 3SE +/- 0.36, N = 3SE +/- 0.38, N = 3SE +/- 0.12, N = 3SE +/- 0.44, N = 3SE +/- 0.30, N = 15SE +/- 0.43, N = 3SE +/- 1.50, N = 337.0137.0537.3237.3837.5838.3740.8141.9041.9447.94258.87

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 or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigamd_pstate performanceamd_pstate_epp performance performanceacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate powersave306090120150SE +/- 0.18, N = 10SE +/- 0.14, N = 15SE +/- 0.14, N = 13SE +/- 0.15, N = 13SE +/- 0.14, N = 13SE +/- 0.17, N = 14SE +/- 0.21, N = 15SE +/- 0.23, N = 14SE +/- 0.16, N = 13SE +/- 0.24, N = 13SE +/- 1.30, N = 922.5222.5322.6122.6222.6523.4424.5225.3925.5230.83156.78

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra Fastamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave1122334455SE +/- 0.33, N = 4SE +/- 0.21, N = 4SE +/- 0.28, N = 4SE +/- 0.49, N = 5SE +/- 0.30, N = 4SE +/- 0.19, N = 4SE +/- 0.43, N = 4SE +/- 0.18, N = 4SE +/- 0.67, N = 15SE +/- 0.08, N = 3SE +/- 0.04, N = 347.2546.4546.0845.4644.5041.9041.1340.8233.7621.656.88

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Mediumacpi_cpufreq ondemandamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate performanceamd_pstate ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave612182430SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.19, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 327.2027.0627.0126.9326.8924.5824.2821.2117.3312.253.97

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super Fastamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate performanceacpi_cpufreq ondemandamd_pstate ondemandacpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave1122334455SE +/- 0.28, N = 4SE +/- 0.22, N = 4SE +/- 0.16, N = 4SE +/- 0.18, N = 4SE +/- 0.30, N = 4SE +/- 0.33, N = 4SE +/- 0.25, N = 4SE +/- 0.28, N = 4SE +/- 0.58, N = 15SE +/- 0.09, N = 3SE +/- 0.01, N = 346.3146.2646.0745.4145.1941.5740.7139.9633.7925.436.77

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: CPU-Onlyamd_pstate_epp performance performanceacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate performanceamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave60120180240300SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 337.5737.6137.6837.7137.7337.8537.9237.9438.3540.04254.46

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh Timeamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceamd_pstate performanceamd_pstate_epp performance performanceamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate ondemandacpi_cpufreq ondemandamd_pstate schedutilamd_pstate powersave170340510680850114.87115.76116.05116.11116.19116.28116.44119.63120.10127.86773.971. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC 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 2.2Video Input: Bosphorus 4K - Video Preset: Mediumacpi_cpufreq ondemandamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate performanceamd_pstate_epp performance balance_performanceamd_pstate ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave816243240SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 332.3632.3032.0932.0031.9930.3229.4222.9720.6614.394.831. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: CPU-Onlyamd_pstate_epp performance balance_performanceamd_pstate performanceamd_pstate_epp performance performanceacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave2004006008001000SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 3SE +/- 0.28, N = 3SE +/- 0.14, N = 3SE +/- 0.24, N = 3SE +/- 0.15, N = 3SE +/- 0.33, N = 3SE +/- 0.32, N = 3SE +/- 0.78, N = 3140.18140.35140.36140.45140.55141.79141.91141.98143.04147.46933.41

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-Onlyamd_pstate_epp performance balance_performanceamd_pstate performanceacpi_cpufreq schedutilamd_pstate_epp performance performanceacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceamd_pstate ondemandamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave306090120150SE +/- 0.09, N = 3SE +/- 0.18, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.16, N = 318.8018.8918.9018.9519.0019.0119.1719.1819.7420.26124.48

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: CPU-Onlyamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate performanceacpi_cpufreq performanceacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate ondemandamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave60120180240300SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.20, N = 3SE +/- 0.29, N = 3SE +/- 0.42, N = 3SE +/- 0.08, N = 3SE +/- 0.71, N = 345.7245.7545.7745.8545.9245.9545.9946.1946.7348.49297.67

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 Atomsamd_pstate_epp performance performanceacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceamd_pstate ondemandacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate_epp powersave poweramd_pstate performanceamd_pstate schedutilamd_pstate powersave0.31720.63440.95161.26881.586SE +/- 0.00124, N = 4SE +/- 0.00170, N = 3SE +/- 0.00158, N = 4SE +/- 0.00272, N = 3SE +/- 0.00244, N = 3SE +/- 0.00142, N = 3SE +/- 0.00089, N = 4SE +/- 0.00042, N = 3SE +/- 0.00077, N = 4SE +/- 0.00054, N = 3SE +/- 0.00490, N = 30.220210.220250.222700.222860.222890.222900.224410.224500.224640.234201.40982

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under The Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 4K - Video Preset: Fasteramd_pstate_epp performance balance_performanceacpi_cpufreq ondemandamd_pstate_epp performance performanceacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate performanceamd_pstate ondemandamd_pstate_epp powersave balance_performanceamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate powersave246810SE +/- 0.075, N = 3SE +/- 0.043, N = 3SE +/- 0.083, N = 4SE +/- 0.068, N = 3SE +/- 0.075, N = 3SE +/- 0.084, N = 4SE +/- 0.030, N = 3SE +/- 0.045, N = 3SE +/- 0.049, N = 3SE +/- 0.018, N = 3SE +/- 0.008, N = 37.3977.3737.3527.3477.3207.3066.6466.3266.2304.7691.1571. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave poweracpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave11002200330044005500SE +/- 1.37, N = 3SE +/- 0.71, N = 3SE +/- 2.23, N = 3SE +/- 0.80, N = 3SE +/- 0.95, N = 3SE +/- 0.41, N = 3SE +/- 1.46, N = 3SE +/- 0.47, N = 3SE +/- 1.03, N = 3SE +/- 0.59, N = 3SE +/- 0.10, N = 35294.975292.425292.085291.815291.455291.005277.025250.155224.835029.05830.311. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceamd_pstate performanceacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate_epp powersave poweracpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave306090120150SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 324.1624.1724.1724.1724.1724.1724.2424.3624.4825.43153.78MIN: 78.56 / MAX: 301.881. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

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 or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigacpi_cpufreq schedutilamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate performanceacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceamd_pstate ondemandamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate powersave2004006008001000SE +/- 0.77, N = 3SE +/- 0.76, N = 3SE +/- 0.74, N = 3SE +/- 0.71, N = 3SE +/- 0.72, N = 3SE +/- 0.85, N = 3SE +/- 0.78, N = 3SE +/- 1.27, N = 3SE +/- 1.59, N = 3SE +/- 0.62, N = 3SE +/- 2.74, N = 3172.61172.86172.88173.63173.64174.95176.50177.06182.77184.471094.37

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilamd_pstate performanceamd_pstate_epp powersave poweramd_pstate_epp performance performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave1224364860SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.35, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 353.1253.0953.0753.0653.0352.9152.7952.7652.4850.358.381. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUacpi_cpufreq performanceamd_pstate performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilamd_pstate_epp powersave poweracpi_cpufreq ondemandamd_pstate_epp performance performanceamd_pstate ondemandamd_pstate schedutilamd_pstate powersave16003200480064008000SE +/- 0.38, N = 3SE +/- 0.68, N = 3SE +/- 0.15, N = 3SE +/- 0.45, N = 3SE +/- 1.11, N = 3SE +/- 0.05, N = 3SE +/- 0.25, N = 3SE +/- 8.32, N = 3SE +/- 0.24, N = 3SE +/- 0.52, N = 3SE +/- 16.67, N = 31195.141195.231195.351195.601195.761199.871203.421203.521210.761260.497565.21MIN: 7058.85 / MAX: 8272.071. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUamd_pstate performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweracpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave8001600240032004000SE +/- 1.03, N = 3SE +/- 0.22, N = 3SE +/- 0.90, N = 3SE +/- 0.08, N = 3SE +/- 1.38, N = 3SE +/- 1.15, N = 3SE +/- 0.85, N = 3SE +/- 1.17, N = 3SE +/- 176.75, N = 15SE +/- 78.31, N = 12SE +/- 0.14, N = 33749.693748.173744.853741.353741.063738.043730.663689.971960.301416.77596.041. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUamd_pstate performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweracpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave20406080100SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 3.03, N = 15SE +/- 2.29, N = 12SE +/- 0.03, N = 317.0517.0617.0717.0917.0917.1017.1417.3336.3546.49107.17MIN: 9.39 / MAX: 80.76MIN: 9.02 / MAX: 83.41MIN: 8.56 / MAX: 80.26MIN: 9.24 / MAX: 81.88MIN: 9.82 / MAX: 80.61MIN: 9.33 / MAX: 84.63MIN: 9.37 / MAX: 88.86MIN: 9.07 / MAX: 83.28MIN: 7.98 / MAX: 137.61MIN: 8.5 / MAX: 147.24MIN: 59.84 / MAX: 344.361. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) 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 4.0Binary: Pathtracer ISPC - Model: Crownamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate performanceamd_pstate_epp performance performanceacpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate ondemandamd_pstate_epp powersave poweracpi_cpufreq ondemandamd_pstate schedutilamd_pstate powersave306090120150SE +/- 0.11, N = 7SE +/- 0.13, N = 7SE +/- 0.14, N = 7SE +/- 0.18, N = 7SE +/- 0.15, N = 7SE +/- 0.25, N = 7SE +/- 0.24, N = 7SE +/- 0.21, N = 6SE +/- 0.33, N = 7SE +/- 0.22, N = 7SE +/- 0.02, N = 3123.15123.05123.02122.87122.71122.50121.86121.30120.80116.7519.67MIN: 120.42 / MAX: 134.1MIN: 119.92 / MAX: 135.17MIN: 120.25 / MAX: 132.77MIN: 119.52 / MAX: 133.96MIN: 119.75 / MAX: 131.8MIN: 118.44 / MAX: 132.08MIN: 117.58 / MAX: 131.5MIN: 107.62 / MAX: 132.2MIN: 116.78 / MAX: 132.34MIN: 112.31 / MAX: 126.6

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per Wattsamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate performanceacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave70140210280350324.98324.66323.56322.58315.89312.33301.21289.22261.49207.3652.56

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceamd_pstate performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweracpi_cpufreq performanceacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate ondemandamd_pstate schedutilamd_pstate powersave48121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 315.5515.5415.5215.5215.5015.4915.4415.4115.2414.632.541. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp powersave poweracpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate ondemandamd_pstate schedutilamd_pstate powersave5K10K15K20K25KSE +/- 9.11, N = 3SE +/- 8.61, N = 3SE +/- 4.72, N = 3SE +/- 4.79, N = 3SE +/- 4.16, N = 3SE +/- 6.67, N = 3SE +/- 2.84, N = 3SE +/- 5.84, N = 3SE +/- 15.80, N = 3SE +/- 8.81, N = 3SE +/- 217.31, N = 34005.034015.914030.034030.794032.104033.634041.314054.304103.644262.2924236.97MIN: 18903.29 / MAX: 30172.21. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 512amd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceamd_pstate ondemandamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate schedutilamd_pstate powersave170340510680850SE +/- 1.79, N = 3SE +/- 3.30, N = 3SE +/- 2.65, N = 3SE +/- 1.59, N = 3SE +/- 3.24, N = 3SE +/- 2.27, N = 3SE +/- 4.45, N = 3SE +/- 1.71, N = 3SE +/- 0.92, N = 3SE +/- 2.51, N = 15SE +/- 0.42, N = 3766.8765.2763.4761.0698.0641.8574.8570.5438.2195.9126.8

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 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4Kamd_pstate_epp performance balance_performanceamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance performanceacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceamd_pstate ondemandamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate schedutilamd_pstate powersave4080120160200SE +/- 1.60, N = 7SE +/- 1.88, N = 15SE +/- 2.47, N = 15SE +/- 2.12, N = 15SE +/- 1.37, N = 10SE +/- 1.23, N = 12SE +/- 1.52, N = 7SE +/- 1.22, N = 6SE +/- 1.54, N = 15SE +/- 0.85, N = 15SE +/- 0.14, N = 3194.10191.05189.13188.42180.34170.27161.78145.32144.3472.2232.271. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity 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.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Traceramd_pstate_epp performance balance_performanceamd_pstate performanceamd_pstate_epp performance performanceamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate ondemandacpi_cpufreq ondemandamd_pstate schedutilamd_pstate powersave15K30K45K60K75KSE +/- 2.03, N = 3SE +/- 1.45, N = 3SE +/- 2.08, N = 3SE +/- 0.88, N = 3SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 1.45, N = 3SE +/- 0.67, N = 3SE +/- 2.19, N = 3SE +/- 1.15, N = 3SE +/- 831.01, N = 121299130013021303130413061306132213221376685481. (CXX) g++ options: -O3 -lm -ldl

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamamd_pstate performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate_epp performance performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave20406080100SE +/- 0.20, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3108.40108.20108.20108.16108.15108.13108.11107.90107.47104.8918.20

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate_epp performance balance_performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave7001400210028003500SE +/- 0.41, N = 3SE +/- 0.22, N = 3SE +/- 0.23, N = 3SE +/- 0.37, N = 3SE +/- 0.24, N = 3SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.20, N = 3SE +/- 0.30, N = 3SE +/- 0.38, N = 3SE +/- 0.92, N = 3586.86587.38587.61587.74587.78587.78587.84588.61589.69605.673485.21

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold Cacheamd_pstate_epp performance balance_performanceamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate ondemandamd_pstate schedutilamd_pstate powersave90180270360450SE +/- 4.76, N = 3SE +/- 0.63, N = 3SE +/- 3.06, N = 3SE +/- 2.11, N = 3SE +/- 1.39, N = 3SE +/- 3.45, N = 3SE +/- 1.22, N = 3SE +/- 0.77, N = 3SE +/- 0.46, N = 3SE +/- 2.12, N = 3SE +/- 0.36, N = 3395.53394.32393.15392.95355.12351.39351.21339.68297.77252.7966.81MIN: 48.98 / MAX: 4000MIN: 48.47 / MAX: 3750MIN: 50.63 / MAX: 3750MIN: 51.28 / MAX: 3750MIN: 43.45 / MAX: 4000MIN: 47.54 / MAX: 2857.14MIN: 49.63 / MAX: 4000MIN: 39.27 / MAX: 3157.89MIN: 44.15 / MAX: 2068.97MIN: 43.29 / MAX: 4000

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: AlexNetamd_pstate performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave20406080100SE +/- 0.36, N = 3SE +/- 0.07, N = 3SE +/- 0.28, N = 3SE +/- 0.99, N = 3SE +/- 0.82, N = 9SE +/- 0.04, N = 3SE +/- 1.99, N = 9SE +/- 0.66, N = 3SE +/- 0.63, N = 6SE +/- 0.31, N = 3SE +/- 0.01, N = 397.5097.1296.7395.7194.6287.7579.3675.6965.6336.5016.54

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate performanceacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave90180270360450SE +/- 0.15, N = 3SE +/- 0.32, N = 3SE +/- 0.37, N = 3SE +/- 0.60, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.36, N = 3SE +/- 0.34, N = 3SE +/- 0.49, N = 3SE +/- 0.15, N = 3404.95404.55404.30404.27404.13403.59403.29403.28401.73388.6470.87

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamamd_pstate ondemandamd_pstate performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave poweracpi_cpufreq ondemandacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate schedutilamd_pstate powersave2004006008001000SE +/- 1.55, N = 3SE +/- 1.41, N = 3SE +/- 1.26, N = 3SE +/- 1.36, N = 3SE +/- 1.68, N = 3SE +/- 1.08, N = 3SE +/- 1.55, N = 3SE +/- 0.64, N = 3SE +/- 0.63, N = 3SE +/- 0.84, N = 3SE +/- 0.17, N = 3834.46830.85830.32830.10830.01829.60829.17828.90828.82809.90147.69

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamamd_pstate ondemandamd_pstate_epp performance performanceamd_pstate performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandamd_pstate_epp powersave poweracpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate schedutilamd_pstate powersave90180270360450SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 376.5776.9176.9176.9876.9977.0177.0277.0677.1078.87431.96

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceamd_pstate performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweracpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave1632486480SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 373.1673.1073.0672.9572.9172.8572.8072.7772.5270.7512.97

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave1632486480SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.18, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 373.2773.2573.1473.0573.0373.0272.9472.7872.4171.0113.00

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamacpi_cpufreq schedutilamd_pstate performanceamd_pstate_epp performance performanceamd_pstate_epp powersave poweracpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave10002000300040005000SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.76, N = 3SE +/- 0.24, N = 3SE +/- 0.69, N = 3SE +/- 0.23, N = 3SE +/- 0.33, N = 3SE +/- 0.15, N = 3SE +/- 0.56, N = 3SE +/- 0.79, N = 3SE +/- 2.96, N = 3866.62866.96866.98867.02867.83867.93868.08872.07876.33893.434868.11

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate performanceacpi_cpufreq schedutilacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceamd_pstate ondemandamd_pstate schedutilamd_pstate powersave2004006008001000SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.12, N = 3SE +/- 0.18, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 1.48, N = 3157.55157.70157.80157.83157.88158.05158.08158.13158.95164.20884.29

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamamd_pstate performanceamd_pstate_epp performance performanceacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp powersave poweracpi_cpufreq performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave10002000300040005000SE +/- 0.55, N = 3SE +/- 0.36, N = 3SE +/- 0.13, N = 3SE +/- 0.32, N = 3SE +/- 0.34, N = 3SE +/- 0.34, N = 3SE +/- 0.37, N = 3SE +/- 0.08, N = 3SE +/- 0.23, N = 3SE +/- 0.52, N = 3SE +/- 3.96, N = 3867.90868.26868.82868.87868.92869.19869.22872.89876.50895.134864.70

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamamd_pstate_epp performance performanceacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate_epp performance balance_performanceamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave70140210280350SE +/- 0.09, N = 3SE +/- 0.63, N = 3SE +/- 0.25, N = 3SE +/- 0.82, N = 3SE +/- 0.44, N = 3SE +/- 0.69, N = 3SE +/- 0.63, N = 3SE +/- 0.60, N = 3SE +/- 0.22, N = 3SE +/- 0.78, N = 3SE +/- 0.07, N = 3307.89307.72307.71307.64307.27307.17307.04306.68306.40297.1455.22

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamamd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceamd_pstate performanceamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate_epp performance balance_performanceacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave130260390520650SE +/- 0.85, N = 3SE +/- 0.35, N = 3SE +/- 0.82, N = 3SE +/- 0.24, N = 3SE +/- 1.19, N = 3SE +/- 0.26, N = 3SE +/- 0.68, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 1.22, N = 3SE +/- 0.09, N = 3610.70610.32609.96609.90609.76609.61609.04608.30607.33587.48109.77

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamamd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave poweramd_pstate performanceacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave120240360480600SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.25, N = 3SE +/- 0.31, N = 3104.57104.62104.66104.73104.75104.76104.80105.02105.15108.66577.77

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamamd_pstate_epp performance performanceacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceamd_pstate performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave2004006008001000SE +/- 0.11, N = 3SE +/- 0.52, N = 3SE +/- 0.11, N = 3SE +/- 0.48, N = 3SE +/- 0.28, N = 3SE +/- 0.29, N = 3SE +/- 0.30, N = 3SE +/- 0.26, N = 3SE +/- 0.15, N = 3SE +/- 0.54, N = 3SE +/- 0.96, N = 3207.19207.27207.33207.44207.58207.61207.67207.88208.09214.471143.06

nginx

This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500amd_pstate_epp performance performanceamd_pstate performanceacpi_cpufreq ondemandamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate ondemandamd_pstate powersave30K60K90K120K150KSE +/- 2024.19, N = 3SE +/- 684.93, N = 3SE +/- 977.04, N = 3SE +/- 1361.88, N = 3SE +/- 693.20, N = 3SE +/- 1575.56, N = 5SE +/- 1781.93, N = 4SE +/- 1620.42, N = 5SE +/- 115.95, N = 3SE +/- 208.90, N = 3SE +/- 131.35, N = 3152654.86151325.01149876.52147764.25147285.78146738.16146083.16145614.76138510.00122126.5627774.701. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate_epp powersave poweracpi_cpufreq ondemandamd_pstate schedutilamd_pstate powersave70140210280350SE +/- 0.15, N = 3SE +/- 0.30, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.30, N = 3SE +/- 0.24, N = 3SE +/- 0.48, N = 3SE +/- 0.37, N = 3SE +/- 0.62, N = 3SE +/- 0.24, N = 3SE +/- 0.06, N = 3310.74310.61310.43310.30310.30310.09309.60309.38308.68299.5756.66

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate performanceamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate ondemandacpi_cpufreq ondemandamd_pstate schedutilamd_pstate powersave2004006008001000SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.25, N = 3SE +/- 0.31, N = 3SE +/- 0.11, N = 3SE +/- 1.11, N = 3205.28205.30205.41205.42205.49205.68205.70206.14206.45212.631124.30

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUamd_pstate ondemandamd_pstate_epp powersave poweracpi_cpufreq performanceamd_pstate performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq schedutilamd_pstate schedutilacpi_cpufreq ondemandamd_pstate powersave60120180240300SE +/- 0.14, N = 3SE +/- 0.60, N = 3SE +/- 1.06, N = 3SE +/- 0.60, N = 3SE +/- 1.00, N = 3SE +/- 1.18, N = 3SE +/- 2.34, N = 3SE +/- 1.35, N = 3SE +/- 0.47, N = 3SE +/- 1.08, N = 3SE +/- 0.34, N = 15279.33268.24268.04267.30267.15266.96266.56266.14265.31264.8251.521. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second Runacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate_epp powersave poweramd_pstate ondemandamd_pstate schedutilamd_pstate powersave90180270360450SE +/- 3.72, N = 3SE +/- 4.88, N = 3SE +/- 1.07, N = 3SE +/- 4.90, N = 3SE +/- 3.92, N = 3SE +/- 0.20, N = 3SE +/- 2.51, N = 3SE +/- 1.73, N = 3SE +/- 2.11, N = 3SE +/- 3.86, N = 3SE +/- 0.06, N = 3410.46409.86407.73404.95373.47362.27357.63349.30306.46254.4075.86MIN: 58.42 / MAX: 4615.38MIN: 57.64 / MAX: 4285.71MIN: 56.66 / MAX: 4285.71MIN: 54.05 / MAX: 4285.71MIN: 52.86 / MAX: 3750MIN: 50.98 / MAX: 4615.38MIN: 57.8 / MAX: 3529.41MIN: 45.25 / MAX: 4000MIN: 50.98 / MAX: 2222.22MIN: 47.85 / MAX: 4285.71

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUamd_pstate ondemandamd_pstate_epp powersave poweracpi_cpufreq performanceamd_pstate performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq schedutilamd_pstate schedutilacpi_cpufreq ondemandamd_pstate powersave30060090012001500SE +/- 0.15, N = 3SE +/- 0.51, N = 3SE +/- 0.97, N = 3SE +/- 0.54, N = 3SE +/- 0.82, N = 3SE +/- 1.09, N = 3SE +/- 2.12, N = 3SE +/- 1.21, N = 3SE +/- 0.48, N = 3SE +/- 1.01, N = 3SE +/- 7.94, N = 15228.75238.16238.32239.02239.05239.29239.70239.94240.82241.171229.86MIN: 599.82 / MAX: 5117.071. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

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 1.3.1Benchmark: vklBenchmark Scalaramd_pstate_epp performance performanceacpi_cpufreq schedutilamd_pstate performanceamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave80160240320400SE +/- 1.20, N = 3SE +/- 4.33, N = 3SE +/- 3.95, N = 9SE +/- 3.82, N = 5SE +/- 4.13, N = 9SE +/- 6.08, N = 6SE +/- 3.76, N = 3SE +/- 1.76, N = 3SE +/- 2.19, N = 3SE +/- 2.31, N = 3SE +/- 0.33, N = 338537637437436736436335734632772MIN: 75 / MAX: 1589MIN: 75 / MAX: 1829MIN: 74 / MAX: 1559MIN: 75 / MAX: 1552MIN: 73 / MAX: 1729MIN: 71 / MAX: 1707MIN: 73 / MAX: 1686MIN: 75 / MAX: 1532MIN: 62 / MAX: 1800MIN: 72 / MAX: 1129MIN: 11 / MAX: 516

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third Runamd_pstate_epp performance balance_performanceamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate ondemandamd_pstate schedutilamd_pstate powersave90180270360450SE +/- 1.36, N = 3SE +/- 2.49, N = 3SE +/- 1.10, N = 3SE +/- 3.27, N = 3SE +/- 3.70, N = 3SE +/- 2.12, N = 3SE +/- 2.43, N = 3SE +/- 1.95, N = 3SE +/- 0.84, N = 3SE +/- 2.60, N = 3SE +/- 0.60, N = 3406.99406.41401.81394.98372.98357.94353.17352.85310.66251.8476.66MIN: 53.29 / MAX: 3333.33MIN: 52.77 / MAX: 3529.41MIN: 56.71 / MAX: 3333.33MIN: 57.97 / MAX: 3529.41MIN: 54.1 / MAX: 4285.71MIN: 56.71 / MAX: 2857.14MIN: 44.91 / MAX: 3000MIN: 50.59 / MAX: 3529.41MIN: 51.28 / MAX: 2222.22MIN: 48.15 / MAX: 3157.89MIN: 8.52 / MAX: 588.24

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Ratingamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceamd_pstate ondemandacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave110K220K330K440K550KSE +/- 6313.35, N = 3SE +/- 5372.93, N = 6SE +/- 5053.05, N = 3SE +/- 5870.22, N = 4SE +/- 6757.49, N = 3SE +/- 480.40, N = 3SE +/- 2092.51, N = 3SE +/- 3716.48, N = 3SE +/- 3758.30, N = 3SE +/- 3670.50, N = 7SE +/- 1055.88, N = 35306895282895223485144435070395004714853874758614596173949821009701. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

PostgreSQL

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 1000 - Mode: Read Writeamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate performanceamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate ondemandamd_pstate schedutilamd_pstate powersave6K12K18K24K30KSE +/- 207.97, N = 3SE +/- 72.30, N = 3SE +/- 63.64, N = 3SE +/- 174.68, N = 12SE +/- 232.73, N = 12SE +/- 157.83, N = 3SE +/- 214.70, N = 3SE +/- 224.57, N = 3SE +/- 179.41, N = 3SE +/- 734.11, N = 9SE +/- 29.56, N = 32608525252249042429922567222792197821522178751261349731. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latencyamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate performanceamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate ondemandamd_pstate schedutilamd_pstate powersave4080120160200SE +/- 0.31, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.30, N = 12SE +/- 0.45, N = 12SE +/- 0.32, N = 3SE +/- 0.45, N = 3SE +/- 0.48, N = 3SE +/- 0.57, N = 3SE +/- 4.17, N = 9SE +/- 1.19, N = 338.3439.6040.1641.1844.3644.8945.5146.4755.9581.19201.101. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -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 1.3.1Benchmark: vklBenchmark ISPCamd_pstate performanceacpi_cpufreq schedutilacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate_epp performance balance_performanceamd_pstate ondemandamd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave120240360480600SE +/- 6.51, N = 4SE +/- 6.96, N = 3SE +/- 1.76, N = 3SE +/- 4.59, N = 8SE +/- 1.76, N = 3SE +/- 3.61, N = 3SE +/- 4.72, N = 7SE +/- 4.37, N = 3SE +/- 2.08, N = 3SE +/- 5.51, N = 3SE +/- 1.20, N = 3534531524524516514514512477468102MIN: 153 / MAX: 1522MIN: 153 / MAX: 1787MIN: 149 / MAX: 1516MIN: 148 / MAX: 1602MIN: 150 / MAX: 1507MIN: 149 / MAX: 1600MIN: 148 / MAX: 1583MIN: 151 / MAX: 1504MIN: 107 / MAX: 1723MIN: 146 / MAX: 1159MIN: 24 / MAX: 400

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 2023Implementation: MPI CPU - Input: water_GMX50_bareamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilamd_pstate_epp powersave poweracpi_cpufreq performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceamd_pstate performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave3691215SE +/- 0.057, N = 3SE +/- 0.046, N = 3SE +/- 0.019, N = 3SE +/- 0.018, N = 3SE +/- 0.032, N = 3SE +/- 0.065, N = 3SE +/- 0.036, N = 3SE +/- 0.125, N = 15SE +/- 0.448, N = 15SE +/- 0.601, N = 12SE +/- 0.004, N = 311.17911.17311.13111.12511.07911.07411.05310.8539.5508.4822.1671. (CXX) g++ options: -O3

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latencyamd_pstate performanceamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweracpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave306090120150SE +/- 0.24, N = 12SE +/- 0.32, N = 4SE +/- 0.37, N = 3SE +/- 0.30, N = 3SE +/- 0.29, N = 3SE +/- 0.32, N = 12SE +/- 0.30, N = 12SE +/- 0.34, N = 3SE +/- 0.33, N = 3SE +/- 3.77, N = 9SE +/- 1.56, N = 1228.7229.0029.5429.8232.9633.1333.7234.0641.9966.39146.571. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 800 - Mode: Read Writeamd_pstate performanceamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweracpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave6K12K18K24K30KSE +/- 225.23, N = 12SE +/- 307.60, N = 4SE +/- 343.31, N = 3SE +/- 272.14, N = 3SE +/- 216.59, N = 3SE +/- 233.05, N = 12SE +/- 213.86, N = 12SE +/- 234.54, N = 3SE +/- 148.91, N = 3SE +/- 766.72, N = 9SE +/- 60.47, N = 122788027596270932683024275241732374323493190561239754651. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4Kacpi_cpufreq performanceamd_pstate performanceacpi_cpufreq schedutilamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate_epp powersave balance_performanceamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate powersave510152025SE +/- 0.23, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.18, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 3SE +/- 0.19, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 0.01, N = 320.9620.7420.6720.6320.5519.9019.2918.5616.3615.334.371. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution Timeacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceamd_pstate ondemandamd_pstate performanceacpi_cpufreq ondemandamd_pstate_epp powersave poweramd_pstate_epp performance balance_performanceamd_pstate schedutilamd_pstate powersave170340510680850164.04166.48167.41167.82167.90168.80169.00169.25170.71182.44773.031. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: GoogLeNetamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate ondemandamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave918273645SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 340.8940.4240.3940.1940.0039.2438.4137.0331.6426.638.74

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 512amd_pstate_epp performance balance_performanceacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate performanceamd_pstate_epp performance performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave11K22K33K44K55KSE +/- 504.99, N = 3SE +/- 577.32, N = 3SE +/- 590.54, N = 4SE +/- 526.94, N = 3SE +/- 207.31, N = 3SE +/- 524.19, N = 15SE +/- 457.69, N = 6SE +/- 451.19, N = 3SE +/- 530.33, N = 4SE +/- 410.53, N = 15SE +/- 162.55, N = 350217.249731.949459.949340.449015.547827.045780.344725.543287.241485.511461.4

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate_epp performance performanceamd_pstate ondemandamd_pstate performanceacpi_cpufreq ondemandamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceamd_pstate schedutilamd_pstate powersave2004006008001000SE +/- 0.68, N = 3SE +/- 0.75, N = 3SE +/- 1.42, N = 3SE +/- 0.27, N = 3SE +/- 1.11, N = 3SE +/- 1.23, N = 3SE +/- 2.48, N = 3SE +/- 1.66, N = 3SE +/- 3.90, N = 3SE +/- 0.59, N = 3SE +/- 0.06, N = 3932.00931.60931.58931.20930.49929.79929.79928.54926.20897.64215.52

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate_epp performance performanceamd_pstate ondemandamd_pstate performanceamd_pstate_epp performance balance_performanceacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceamd_pstate schedutilamd_pstate powersave60120180240300SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.28, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 368.5568.5668.5868.6068.6568.7168.7168.7768.9271.16295.49

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latencyamd_pstate performanceacpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave0.56751.1351.70252.272.8375SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.008, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.008, N = 4SE +/- 0.033, N = 12SE +/- 0.033, N = 12SE +/- 0.022, N = 80.6300.6360.6410.6420.6440.6450.6480.7450.8151.1462.5221. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 800 - Mode: Read Onlyamd_pstate performanceacpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave300K600K900K1200K1500KSE +/- 9347.57, N = 3SE +/- 716.94, N = 3SE +/- 8403.56, N = 3SE +/- 2388.78, N = 3SE +/- 15062.87, N = 3SE +/- 7684.39, N = 3SE +/- 8479.39, N = 3SE +/- 11695.71, N = 4SE +/- 36540.35, N = 12SE +/- 21438.85, N = 12SE +/- 2702.31, N = 8126868812580661248266124591412417261240406123486910745009977427049293173601. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 1000 - Mode: Read Onlyacpi_cpufreq schedutilamd_pstate performanceamd_pstate_epp performance performanceamd_pstate_epp powersave poweramd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave300K600K900K1200K1500KSE +/- 5317.94, N = 3SE +/- 13365.19, N = 3SE +/- 6415.45, N = 3SE +/- 3162.21, N = 3SE +/- 7063.00, N = 3SE +/- 5837.45, N = 3SE +/- 9650.25, N = 3SE +/- 3711.22, N = 3SE +/- 40789.54, N = 12SE +/- 20475.53, N = 12SE +/- 1792.34, N = 3123787112308411226743122642912090331207540120263710827949559777149803122451. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latencyacpi_cpufreq schedutilamd_pstate performanceamd_pstate_epp powersave poweramd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave0.72071.44142.16212.88283.6035SE +/- 0.004, N = 3SE +/- 0.009, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.006, N = 3SE +/- 0.003, N = 3SE +/- 0.048, N = 12SE +/- 0.040, N = 12SE +/- 0.018, N = 30.8080.8120.8150.8150.8270.8280.8320.9241.0691.4113.2031. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) 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 4.0Binary: Pathtracer ISPC - Model: Asian Dragonamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate performanceamd_pstate_epp performance performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceamd_pstate schedutilamd_pstate powersave20406080100SE +/- 0.87, N = 15SE +/- 0.79, N = 6SE +/- 0.91, N = 15SE +/- 0.98, N = 15SE +/- 0.93, N = 15SE +/- 0.85, N = 6SE +/- 1.15, N = 15SE +/- 0.79, N = 15SE +/- 0.72, N = 15SE +/- 0.79, N = 15SE +/- 0.02, N = 394.7893.7693.7393.6193.5092.9592.8092.2191.3788.8024.79MIN: 86.18 / MAX: 101.48MIN: 88.79 / MAX: 100.41MIN: 86.21 / MAX: 102.02MIN: 86.72 / MAX: 102.65MIN: 87.15 / MAX: 102.17MIN: 88.86 / MAX: 98.52MIN: 85.44 / MAX: 101.26MIN: 87.15 / MAX: 100.61MIN: 86.16 / MAX: 99.08MIN: 82.24 / MAX: 97.26MIN: 24.19 / MAX: 25.44

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.i3damd_pstate ondemandamd_pstate_epp powersave poweracpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate_epp performance balance_performanceacpi_cpufreq ondemandamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate performanceamd_pstate schedutilamd_pstate powersave120240360480600SE +/- 0.67, N = 3SE +/- 0.28, N = 3SE +/- 0.32, N = 3SE +/- 0.25, N = 3SE +/- 1.22, N = 3SE +/- 0.74, N = 3SE +/- 0.44, N = 3SE +/- 0.99, N = 3SE +/- 0.86, N = 3SE +/- 0.30, N = 3SE +/- 0.43, N = 3262.40263.30263.63263.63264.59264.80264.82264.91265.31267.54540.541. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUamd_pstate_epp performance performanceamd_pstate performanceamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweracpi_cpufreq ondemandamd_pstate schedutilamd_pstate ondemandamd_pstate powersave70140210280350SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 1.86, N = 15SE +/- 2.27, N = 12SE +/- 2.16, N = 1517.3717.3717.4117.4417.4817.4917.5317.6532.4235.39315.26MIN: 86.78 / MAX: 701.541. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUamd_pstate_epp performance performanceamd_pstate performanceamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweracpi_cpufreq ondemandamd_pstate schedutilamd_pstate ondemandamd_pstate powersave8001600240032004000SE +/- 3.54, N = 3SE +/- 4.65, N = 3SE +/- 6.01, N = 3SE +/- 6.58, N = 3SE +/- 4.78, N = 3SE +/- 3.07, N = 3SE +/- 8.08, N = 3SE +/- 13.56, N = 3SE +/- 113.70, N = 15SE +/- 155.56, N = 12SE +/- 1.43, N = 153679.313678.913670.783663.483655.413654.513645.603621.582062.041915.37202.831. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System Monitoringamd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate_epp performance performanceacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceacpi_cpufreq ondemandamd_pstate performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceamd_pstate ondemand1632486480Min: 50.25 / Avg: 61.86 / Max: 70.5Min: 47.75 / Avg: 64.32 / Max: 81Min: 47.75 / Avg: 65.06 / Max: 83.25Min: 40.75 / Avg: 65.28 / Max: 83.25Min: 46.25 / Avg: 65.29 / Max: 82.75Min: 48.5 / Avg: 65.36 / Max: 82.25Min: 40.5 / Avg: 65.4 / Max: 87Min: 46.25 / Avg: 65.58 / Max: 80Min: 38.5 / Avg: 65.62 / Max: 83Min: 40 / Avg: 65.66 / Max: 84.25Min: 44.5 / Avg: 65.79 / Max: 83.25

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System Monitoringamd_pstate powersaveamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp performance performanceamd_pstate performanceacpi_cpufreq performance100200300400500Min: 43.27 / Avg: 163.3 / Max: 275.2Min: 38.01 / Avg: 278.01 / Max: 587.2Min: 41.58 / Avg: 286.48 / Max: 590.97Min: 38.21 / Avg: 307.63 / Max: 589.22Min: 37.47 / Avg: 313.83 / Max: 584.92Min: 38.35 / Avg: 322.01 / Max: 585.48Min: 59.55 / Avg: 323.61 / Max: 584.84Min: 37.97 / Avg: 324.21 / Max: 589.51Min: 37.48 / Avg: 326.31 / Max: 589.17Min: 38.16 / Avg: 328.3 / Max: 585.77Min: 37.49 / Avg: 331.38 / Max: 585.26

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System Monitoringamd_pstate powersaveamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceamd_pstate schedutilamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate ondemandamd_pstate performance14002800420056007000Min: 399 / Avg: 399.83 / Max: 476Min: 400 / Avg: 2616.26 / Max: 4167Min: 400 / Avg: 2841.73 / Max: 3527Min: 400 / Avg: 3002.54 / Max: 3557Min: 400 / Avg: 3040.97 / Max: 3526Min: 400 / Avg: 3054.07 / Max: 3753Min: 1500 / Avg: 3076.06 / Max: 3930Min: 1500 / Avg: 3081.4 / Max: 4651Min: 2105 / Avg: 3089.85 / Max: 8005Min: 1151 / Avg: 3211.23 / Max: 3565Min: 2182 / Avg: 3318.56 / Max: 3531

OpenVINO

OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitoramd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance performanceamd_pstate performanceacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceacpi_cpufreq ondemandamd_pstate_epp powersave poweracpi_cpufreq performanceamd_pstate ondemandamd_pstate_epp powersave balance_performance1530456075Min: 62.25 / Avg: 65.51 / Max: 68.75Min: 54.25 / Avg: 69.25 / Max: 76.25Min: 53.75 / Avg: 69.39 / Max: 75.75Min: 54.5 / Avg: 69.42 / Max: 77.5Min: 53.5 / Avg: 69.59 / Max: 76.25Min: 53.75 / Avg: 69.6 / Max: 78.25Min: 52.25 / Avg: 69.64 / Max: 77.5Min: 51.75 / Avg: 69.76 / Max: 76.5Min: 54.25 / Avg: 69.82 / Max: 77Min: 54.25 / Avg: 69.87 / Max: 78.75Min: 53.5 / Avg: 70.13 / Max: 76.5

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitoramd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate_epp performance balance_performanceacpi_cpufreq schedutilamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate ondemandamd_pstate performanceacpi_cpufreq ondemandacpi_cpufreq performance90180270360450Min: 68.69 / Avg: 185.04 / Max: 201.48Min: 76.34 / Avg: 427.66 / Max: 504.95Min: 75.95 / Avg: 430.61 / Max: 528.77Min: 74.84 / Avg: 432.73 / Max: 498.71Min: 75.26 / Avg: 433.41 / Max: 503.61Min: 75.4 / Avg: 433.85 / Max: 510.38Min: 75.22 / Avg: 433.95 / Max: 509.12Min: 125.01 / Avg: 433.96 / Max: 505.92Min: 75.76 / Avg: 434.42 / Max: 507.22Min: 75.26 / Avg: 435.77 / Max: 512.82Min: 37.67 / Avg: 436.61 / Max: 495.52

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitoramd_pstate schedutilacpi_cpufreq performanceamd_pstate performanceamd_pstate ondemandacpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave poweramd_pstate powersave6001200180024003000Min: 400 / Avg: 2983.99 / Max: 3529Min: 2200 / Avg: 2972.46 / Max: 3518Min: 2570 / Avg: 2953.32 / Max: 3529Min: 2620 / Avg: 2950.75 / Max: 3529Min: 2200 / Avg: 2866.8 / Max: 3518Min: 400 / Avg: 2861.03 / Max: 3244Min: 2200 / Avg: 2854.65 / Max: 3518Min: 400 / Avg: 2851.9 / Max: 3518Min: 400 / Avg: 2825.61 / Max: 3518Min: 400 / Avg: 2773.44 / Max: 3518Min: 399 / Avg: 399.95 / Max: 400

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUamd_pstate_epp powersave poweramd_pstate_epp performance performanceamd_pstate performanceamd_pstate ondemandacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceamd_pstate schedutilacpi_cpufreq performanceamd_pstate powersave612182430SE +/- 0.09, N = 15SE +/- 0.10, N = 15SE +/- 0.12, N = 12SE +/- 0.10, N = 12SE +/- 0.11, N = 15SE +/- 0.10, N = 15SE +/- 0.07, N = 12SE +/- 0.10, N = 15SE +/- 0.11, N = 12SE +/- 0.04, N = 5SE +/- 0.07, N = 33.323.383.393.403.413.443.453.513.553.7224.55MIN: 5.27 / MAX: 260.671. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUamd_pstate_epp powersave poweramd_pstate_epp performance performanceamd_pstate performanceacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate_epp performance balance_performanceamd_pstate ondemandamd_pstate_epp powersave balance_performanceamd_pstate schedutilacpi_cpufreq performanceamd_pstate powersave8K16K24K32K40KSE +/- 894.45, N = 15SE +/- 1139.15, N = 15SE +/- 1205.35, N = 12SE +/- 1216.09, N = 15SE +/- 1008.62, N = 15SE +/- 724.32, N = 12SE +/- 946.71, N = 12SE +/- 1060.84, N = 15SE +/- 909.70, N = 12SE +/- 342.83, N = 5SE +/- 15.51, N = 336975.3436507.1136428.7636248.3835666.6935601.8335501.2135205.4733751.5832979.745175.961. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

PostgreSQL

OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL 15CPU Temperature Monitoramd_pstate schedutilamd_pstate powersaveamd_pstate ondemandacpi_cpufreq schedutilamd_pstate performanceacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave power1530456075Min: 55.5 / Avg: 62.91 / Max: 80.75Min: 59.25 / Avg: 63.05 / Max: 66.75Min: 56 / Avg: 65.1 / Max: 77.25Min: 54 / Avg: 65.26 / Max: 80Min: 54.25 / Avg: 65.33 / Max: 75Min: 54.5 / Avg: 65.75 / Max: 75.75Min: 55.5 / Avg: 66.02 / Max: 77.75Min: 54.5 / Avg: 66.05 / Max: 79Min: 54.5 / Avg: 66.07 / Max: 79.75Min: 54.5 / Avg: 66.12 / Max: 76.5Min: 54.25 / Avg: 66.37 / Max: 72.25

OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL 15CPU Power Consumption Monitoramd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate performanceamd_pstate_epp performance balance_performance70140210280350Min: 48.71 / Avg: 158.54 / Max: 227.18Min: 77.51 / Avg: 192.63 / Max: 354.38Min: 66.78 / Avg: 215.25 / Max: 279.43Min: 66.57 / Avg: 216.39 / Max: 292.94Min: 75.45 / Avg: 224.45 / Max: 300.56Min: 38.78 / Avg: 238.8 / Max: 346.11Min: 76.73 / Avg: 239.31 / Max: 400.83Min: 38.58 / Avg: 262.23 / Max: 368.93Min: 75.66 / Avg: 263.65 / Max: 364.54Min: 42.53 / Avg: 264.42 / Max: 377.44Min: 75.87 / Avg: 269.27 / Max: 418.72

OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL 15CPU Peak Freq (Highest CPU Core Frequency) Monitoramd_pstate performanceacpi_cpufreq performanceacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate ondemandamd_pstate_epp powersave balance_performanceamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate powersave14002800420056007000Min: 3241 / Avg: 3345.21 / Max: 3529Min: 2200 / Avg: 3168.05 / Max: 8005Min: 2200 / Avg: 3159.68 / Max: 3519Min: 1900 / Avg: 3153.47 / Max: 4651Min: 400 / Avg: 3120.43 / Max: 3668Min: 400 / Avg: 3116.46 / Max: 3524Min: 1597 / Avg: 2826.31 / Max: 3529Min: 400 / Avg: 2592.56 / Max: 3518Min: 720 / Avg: 2584.36 / Max: 3529Min: 400 / Avg: 2344.96 / Max: 4167Min: 399 / Avg: 400.15 / Max: 464

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latencyamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate performanceamd_pstate_epp performance performanceamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate schedutilamd_pstate powersave20406080100SE +/- 0.71, N = 12SE +/- 0.23, N = 12SE +/- 0.22, N = 12SE +/- 0.24, N = 12SE +/- 1.31, N = 12SE +/- 0.46, N = 12SE +/- 0.28, N = 12SE +/- 0.28, N = 12SE +/- 0.30, N = 12SE +/- 2.25, N = 12SE +/- 2.49, N = 1214.6415.1815.2615.5316.4417.1917.3717.4917.9127.7475.981. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Writeamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate performanceamd_pstate ondemandamd_pstate_epp performance performanceacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate schedutilamd_pstate powersave8K16K24K32K40KSE +/- 2742.94, N = 12SE +/- 531.49, N = 12SE +/- 539.21, N = 12SE +/- 2388.98, N = 12SE +/- 524.88, N = 12SE +/- 904.79, N = 12SE +/- 508.85, N = 12SE +/- 497.87, N = 12SE +/- 523.79, N = 12SE +/- 1491.09, N = 12SE +/- 295.83, N = 123561033019328583248632286293472887328682280161929866861. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL 15CPU Temperature Monitoramd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate performanceamd_pstate_epp performance performanceacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceamd_pstate ondemandacpi_cpufreq performance1530456075Min: 59.5 / Avg: 63.24 / Max: 67.5Min: 50.5 / Avg: 68.11 / Max: 75.5Min: 50.75 / Avg: 68.14 / Max: 74.25Min: 49.25 / Avg: 68.38 / Max: 74Min: 48.5 / Avg: 68.39 / Max: 74.75Min: 51 / Avg: 68.55 / Max: 74Min: 48.75 / Avg: 68.68 / Max: 74.75Min: 50.25 / Avg: 68.75 / Max: 74.75Min: 51.75 / Avg: 68.81 / Max: 74.5Min: 53 / Avg: 68.94 / Max: 76.75Min: 51 / Avg: 69 / Max: 75.25

OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL 15CPU Power Consumption Monitoramd_pstate powersaveamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceamd_pstate ondemandamd_pstate schedutilacpi_cpufreq ondemandacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate performanceamd_pstate_epp performance performance80160240320400Min: 66.35 / Avg: 164.35 / Max: 218.02Min: 74.43 / Avg: 339.93 / Max: 402.29Min: 66.44 / Avg: 342.32 / Max: 415.73Min: 66.21 / Avg: 343.87 / Max: 431.34Min: 47.3 / Avg: 344.67 / Max: 450.17Min: 74.49 / Avg: 346.3 / Max: 435.69Min: 40.65 / Avg: 347.77 / Max: 428.92Min: 74.67 / Avg: 348.84 / Max: 442.72Min: 74.5 / Avg: 348.88 / Max: 438.36Min: 74.88 / Avg: 349.47 / Max: 436.31Min: 74.35 / Avg: 349.99 / Max: 444.83

OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL 15CPU Peak Freq (Highest CPU Core Frequency) Monitoramd_pstate performanceamd_pstate schedutilamd_pstate ondemandacpi_cpufreq performanceacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate powersave6001200180024003000Min: 3244 / Avg: 3301.39 / Max: 3529Min: 400 / Avg: 3283.68 / Max: 3529Min: 1620 / Avg: 3262.37 / Max: 3529Min: 2200 / Avg: 3168.23 / Max: 3518Min: 2200 / Avg: 3157 / Max: 3522Min: 1500 / Avg: 3154.42 / Max: 3529Min: 400 / Avg: 3122.64 / Max: 3524Min: 400 / Avg: 3094.78 / Max: 3518Min: 400 / Avg: 3066.13 / Max: 3518Min: 400 / Avg: 2978.27 / Max: 3525Min: 399 / Avg: 399.4 / Max: 400

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latencyamd_pstate performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave poweramd_pstate_epp performance performanceacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave0.35350.7071.06051.4141.7675SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.005, N = 3SE +/- 0.003, N = 3SE +/- 0.009, N = 12SE +/- 0.005, N = 4SE +/- 0.010, N = 11SE +/- 0.006, N = 3SE +/- 0.020, N = 12SE +/- 0.025, N = 12SE +/- 0.016, N = 60.3810.3830.3870.3890.3890.3890.3900.4450.4900.7961.5711. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Onlyamd_pstate performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate schedutilamd_pstate powersave300K600K900K1200K1500KSE +/- 2192.30, N = 3SE +/- 10261.05, N = 3SE +/- 16514.38, N = 3SE +/- 24805.29, N = 12SE +/- 28243.17, N = 11SE +/- 10272.10, N = 3SE +/- 16034.65, N = 4SE +/- 16168.04, N = 3SE +/- 38153.01, N = 12SE +/- 23969.59, N = 12SE +/- 3162.32, N = 61311837130609912927981291471128855012860421285905112422410377036360883184801. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

CockroachDB

OpenBenchmarking.orgCelsius, Fewer Is BetterCockroachDB 22.2CPU Temperature Monitoramd_pstate powersaveamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceamd_pstate schedutilacpi_cpufreq schedutilamd_pstate ondemandamd_pstate_epp performance performanceamd_pstate performanceacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate_epp performance balance_performance1530456075Min: 63.75 / Avg: 65.98 / Max: 69.25Min: 57.5 / Avg: 67.58 / Max: 72.75Min: 60 / Avg: 68.48 / Max: 74.25Min: 57.75 / Avg: 68.55 / Max: 76Min: 55 / Avg: 68.72 / Max: 75Min: 59 / Avg: 68.82 / Max: 75.5Min: 56.5 / Avg: 68.92 / Max: 74.5Min: 56.75 / Avg: 68.96 / Max: 75.75Min: 57 / Avg: 69.04 / Max: 74.75Min: 56.25 / Avg: 69.24 / Max: 75.75Min: 55.25 / Avg: 69.37 / Max: 75.75

OpenBenchmarking.orgWatts, Fewer Is BetterCockroachDB 22.2CPU Power Consumption Monitoramd_pstate powersaveamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceamd_pstate ondemandamd_pstate schedutilacpi_cpufreq schedutilamd_pstate performanceacpi_cpufreq ondemandamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performance70140210280350Min: 94.84 / Avg: 186.39 / Max: 205.32Min: 77.61 / Avg: 269.59 / Max: 307.32Min: 77.15 / Avg: 296.75 / Max: 337.92Min: 68.65 / Avg: 328.19 / Max: 367.64Min: 66.05 / Avg: 338.76 / Max: 391.23Min: 60.93 / Avg: 354.31 / Max: 410.12Min: 52.5 / Avg: 362.56 / Max: 414.79Min: 77.06 / Avg: 364.05 / Max: 417.78Min: 75.77 / Avg: 366.88 / Max: 412.41Min: 76.05 / Avg: 367.21 / Max: 414.57Min: 53.04 / Avg: 367.59 / Max: 414.59

OpenBenchmarking.orgMegahertz, More Is BetterCockroachDB 22.2CPU Peak Freq (Highest CPU Core Frequency) Monitoramd_pstate performanceamd_pstate schedutilamd_pstate ondemandacpi_cpufreq performanceamd_pstate_epp performance performanceacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate powersave6001200180024003000Min: 3244 / Avg: 3487.51 / Max: 3531Min: 458 / Avg: 3291.09 / Max: 3557Min: 1151 / Avg: 3277.63 / Max: 3529Min: 2200 / Avg: 3183.67 / Max: 3518Min: 400 / Avg: 3171.15 / Max: 3518Min: 1500 / Avg: 3167.87 / Max: 3518Min: 1500 / Avg: 3165.38 / Max: 3518Min: 400 / Avg: 3160.36 / Max: 3520Min: 400 / Avg: 2605.01 / Max: 2803Min: 1795 / Avg: 2343.79 / Max: 2540Min: 399 / Avg: 400.07 / Max: 419

OpenBenchmarking.orgops/s Per Watt, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 512amd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate ondemandamd_pstate performanceacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate schedutilamd_pstate powersave60120180240300275.90255.69235.71234.54234.32229.55226.37225.68224.65213.0790.20

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 512amd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate performanceacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate ondemandamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave20K40K60K80K100KSE +/- 465.83, N = 3SE +/- 262.84, N = 3SE +/- 373.82, N = 3SE +/- 1631.30, N = 15SE +/- 1583.45, N = 15SE +/- 1766.85, N = 15SE +/- 1522.12, N = 15SE +/- 1169.53, N = 15SE +/- 99.42, N = 3SE +/- 1298.96, N = 15SE +/- 36.89, N = 386477.386214.886045.282071.481782.379962.275876.475334.774380.072179.616811.8

VP9 libvpx Encoding

OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.13CPU Temperature Monitoramd_pstate powersaveamd_pstate_epp performance performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate performance1428425670Min: 54.75 / Avg: 57.8 / Max: 63Min: 55 / Avg: 61.17 / Max: 74.5Min: 54.25 / Avg: 61.27 / Max: 73.75Min: 56.75 / Avg: 61.36 / Max: 74.75Min: 55 / Avg: 61.65 / Max: 72.75Min: 54.25 / Avg: 61.93 / Max: 73.75Min: 54.5 / Avg: 62.19 / Max: 73Min: 53 / Avg: 62.19 / Max: 72.75Min: 59.75 / Avg: 62.32 / Max: 74.5Min: 58.5 / Avg: 62.4 / Max: 74Min: 53 / Avg: 62.75 / Max: 72.75

OpenBenchmarking.orgWatts, Fewer Is BetterVP9 libvpx Encoding 1.13CPU Power Consumption Monitoramd_pstate powersaveamd_pstate_epp powersave balance_performanceamd_pstate schedutilamd_pstate_epp powersave poweracpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate performanceamd_pstate_epp performance performanceacpi_cpufreq ondemandamd_pstate ondemand4080120160200Min: 51.09 / Avg: 143.5 / Max: 154.37Min: 75.05 / Avg: 155.77 / Max: 188.01Min: 78.31 / Avg: 160.12 / Max: 183.84Min: 70.5 / Avg: 160.16 / Max: 184.06Min: 76.61 / Avg: 162.94 / Max: 181.03Min: 75.62 / Avg: 163.33 / Max: 192.25Min: 38.46 / Avg: 171.91 / Max: 202.24Min: 75.68 / Avg: 172.17 / Max: 205.84Min: 75.03 / Avg: 177.01 / Max: 202Min: 75.93 / Avg: 179.51 / Max: 207.21Min: 92.28 / Avg: 182.47 / Max: 198.06

OpenBenchmarking.orgMegahertz, More Is BetterVP9 libvpx Encoding 1.13CPU Peak Freq (Highest CPU Core Frequency) Monitoramd_pstate ondemandamd_pstate performanceamd_pstate_epp performance performanceacpi_cpufreq performanceacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate powersave6001200180024003000Min: 3529 / Avg: 3529 / Max: 3529Min: 3529 / Avg: 3529 / Max: 3529Min: 400 / Avg: 3369.1 / Max: 3519Min: 2200 / Avg: 3362.53 / Max: 3518Min: 2200 / Avg: 3353.15 / Max: 3518Min: 2200 / Avg: 3349.37 / Max: 3519Min: 400 / Avg: 3346.28 / Max: 3519Min: 400 / Avg: 3040.06 / Max: 3518Min: 400 / Avg: 2525.49 / Max: 3529Min: 400 / Avg: 2356.06 / Max: 3468Min: 400 / Avg: 400 / Max: 400

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 4Kacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceacpi_cpufreq ondemandamd_pstate_epp powersave poweramd_pstate ondemandamd_pstate schedutilamd_pstate powersave0.01980.03960.05940.07920.0990.0880.0870.0780.0770.0750.0720.0600.0500.0460.0190.013

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 4Kacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave48121620SE +/- 0.01, N = 3SE +/- 0.20, N = 3SE +/- 0.27, N = 15SE +/- 0.26, N = 15SE +/- 0.41, N = 12SE +/- 0.12, N = 3SE +/- 0.12, N = 15SE +/- 0.10, N = 12SE +/- 0.14, N = 15SE +/- 0.04, N = 12SE +/- 0.01, N = 314.3614.1713.3713.3212.8311.6310.728.477.953.061.861. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

SVT-AV1

OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 1.4CPU Temperature Monitoramd_pstate powersaveamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceamd_pstate performanceacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate ondemandacpi_cpufreq performanceamd_pstate_epp powersave balance_performance1428425670Min: 54.5 / Avg: 57.32 / Max: 60.75Min: 52.5 / Avg: 58.27 / Max: 68.75Min: 50.75 / Avg: 58.95 / Max: 73.25Min: 51.5 / Avg: 59.19 / Max: 73.25Min: 52.25 / Avg: 59.61 / Max: 70.25Min: 52.5 / Avg: 59.81 / Max: 71.5Min: 53.25 / Avg: 60.22 / Max: 69Min: 58.25 / Avg: 60.46 / Max: 65.75Min: 54 / Avg: 60.93 / Max: 74.75Min: 53.25 / Avg: 61.91 / Max: 74Min: 57.25 / Avg: 62.15 / Max: 71.5

OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.4CPU Power Consumption Monitoramd_pstate powersaveamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilamd_pstate performanceamd_pstate_epp performance balance_performanceacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate_epp performance performanceamd_pstate schedutilamd_pstate ondemand60120180240300Min: 47.96 / Avg: 147.35 / Max: 207.85Min: 40.76 / Avg: 158.93 / Max: 286.98Min: 76.08 / Avg: 160.06 / Max: 298.15Min: 64.93 / Avg: 165.42 / Max: 317.05Min: 69.57 / Avg: 165.92 / Max: 329Min: 74.63 / Avg: 166.89 / Max: 324.36Min: 75.16 / Avg: 167.85 / Max: 329.03Min: 75.86 / Avg: 168.79 / Max: 329.33Min: 38.31 / Avg: 169.39 / Max: 331.84Min: 45.36 / Avg: 169.54 / Max: 271.57Min: 115.21 / Avg: 187.22 / Max: 326.41

OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 1.4CPU Peak Freq (Highest CPU Core Frequency) Monitoramd_pstate performanceamd_pstate ondemandamd_pstate schedutilacpi_cpufreq performanceacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate powersave6001200180024003000Min: 3529 / Avg: 3529 / Max: 3529Min: 2195 / Avg: 3434.68 / Max: 3529Min: 879 / Avg: 3160.04 / Max: 3529Min: 2200 / Avg: 3037.48 / Max: 3518Min: 2200 / Avg: 2983.01 / Max: 3518Min: 2200 / Avg: 2975.64 / Max: 3518Min: 400 / Avg: 2832.63 / Max: 3518Min: 400 / Avg: 2826.81 / Max: 3518Min: 400 / Avg: 2478.56 / Max: 3518Min: 400 / Avg: 2245.33 / Max: 3518Min: 400 / Avg: 400 / Max: 400

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4Kamd_pstate_epp performance balance_performanceamd_pstate performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate_epp performance performanceacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate ondemandamd_pstate schedutilamd_pstate powersave0.25090.50180.75271.00361.25451.1151.0991.0961.0781.0681.0231.0130.9800.9180.5320.249

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4Kamd_pstate_epp performance balance_performanceamd_pstate performanceacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceamd_pstate ondemandacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate powersave4080120160200SE +/- 3.08, N = 15SE +/- 3.27, N = 15SE +/- 3.08, N = 15SE +/- 3.33, N = 15SE +/- 2.85, N = 15SE +/- 2.85, N = 15SE +/- 2.56, N = 15SE +/- 2.84, N = 15SE +/- 1.61, N = 15SE +/- 1.29, N = 15SE +/- 0.49, N = 12186.05182.36180.86180.33175.46173.31171.88167.61155.7790.2836.651. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

123 Results Shown

PHPBench
Zstd Compression
PyBench
Zstd Compression:
  19, Long Mode - Compression Speed
  19 - Decompression Speed
  19, Long Mode - Decompression Speed
OSPRay Studio:
  1 - 4K - 32 - Path Tracer
  3 - 4K - 32 - Path Tracer
Stargate Digital Audio Workstation
Timed Gem5 Compilation
SVT-AV1
BRL-CAD
Kvazaar:
  Bosphorus 4K - Super Fast
  Bosphorus 4K - Ultra Fast
7-Zip Compression
Timed Node.js Compilation
VVenC
OSPRay Studio
Timed Godot Game Engine Compilation
Timed Linux Kernel Compilation
uvg266:
  Bosphorus 4K - Ultra Fast
  Bosphorus 4K - Medium
  Bosphorus 4K - Super Fast
Blender
OpenFOAM
Kvazaar
Blender:
  Barbershop - CPU-Only
  Fishy Cat - CPU-Only
  Pabellon Barcelona - CPU-Only
NAMD
VVenC
OpenVINO:
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
Timed Linux Kernel Compilation
OpenVINO:
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
Embree
Meta Performance Per Watts
OpenVINO:
  Person Detection FP16 - CPU:
    FPS
    ms
CockroachDB
SVT-AV1
OSPRay Studio
Neural Magic DeepSparse:
  CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream:
    items/sec
    ms/batch
ClickHouse
TensorFlow
Neural Magic DeepSparse:
  CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream
  CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream
nginx
Neural Magic DeepSparse:
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
OpenVINO
ClickHouse
OpenVINO
OpenVKL
ClickHouse
7-Zip Compression
PostgreSQL:
  100 - 1000 - Read Write
  100 - 1000 - Read Write - Average Latency
OpenVKL
GROMACS
PostgreSQL:
  100 - 800 - Read Write - Average Latency
  100 - 800 - Read Write
x265
OpenFOAM
TensorFlow
CockroachDB
Neural Magic DeepSparse:
  NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream:
    items/sec
    ms/batch
PostgreSQL:
  100 - 800 - Read Only - Average Latency
  100 - 800 - Read Only
  100 - 1000 - Read Only
  100 - 1000 - Read Only - Average Latency
Embree
Xcompact3d Incompact3d
OpenVINO:
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
CPU Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Watts
    Megahertz
  CPU Temp Monitor:
    Celsius
  CPU Power Consumption Monitor:
    Watts
  CPU Peak Freq (Highest CPU Core Frequency) Monitor:
    Megahertz
OpenVINO:
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
PostgreSQL:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
PostgreSQL:
  100 - 500 - Read Write - Average Latency
  100 - 500 - Read Write
PostgreSQL:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
PostgreSQL:
  100 - 500 - Read Only - Average Latency
  100 - 500 - Read Only
CockroachDB:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  KV, 95% Reads - 512
CockroachDB
VP9 libvpx Encoding:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  Speed 5 - Bosphorus 4K
VP9 libvpx Encoding
SVT-AV1:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  Preset 12 - Bosphorus 4K
SVT-AV1