AMD P-State Linux 6.3 Testing

Benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2302279-NE-AMDPSTATE10
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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 P-State Linux 6.3 Testingcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlybrl-cad: VGR Performance Metricclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runcockroach: MoVR - 512cockroach: KV, 10% Reads - 512cockroach: KV, 95% Reads - 512embree: Pathtracer ISPC - Crownembree: Pathtracer ISPC - Asian Dragongromacs: MPI CPU - water_GMX50_barekvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Super Fastkvazaar: Bosphorus 4K - Ultra Fastnamd: ATPase Simulation - 327,506 Atomsdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamnginx: 500openfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: 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 - CPUopenvkl: vklBenchmark ISPCopenvkl: vklBenchmark Scalarospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 3 - 4K - 32 - Path Tracerphpbench: PHP Benchmark Suitepgbench: 100 - 500 - Read Onlypgbench: 100 - 500 - Read Only - Average Latencypgbench: 100 - 800 - Read Onlypgbench: 100 - 800 - Read Only - Average Latencypgbench: 100 - 1000 - Read Onlypgbench: 100 - 1000 - Read Only - Average Latencypgbench: 100 - 500 - Read Writepgbench: 100 - 500 - Read Write - Average Latencypgbench: 100 - 800 - Read Writepgbench: 100 - 800 - Read Write - Average Latencypgbench: 100 - 1000 - Read Writepgbench: 100 - 1000 - Read Write - Average Latencypybench: Total For Average Test Timesstargate: 192000 - 1024svt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Ktensorflow: CPU - 256 - AlexNettensorflow: CPU - 256 - GoogLeNetbuild-gem5: Time To Compilebuild-godot: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-nodejs: Time To Compileuvg266: Bosphorus 4K - Mediumuvg266: Bosphorus 4K - Super Fastuvg266: Bosphorus 4K - Ultra Fastvpxenc: Speed 5 - Bosphorus 4Kvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fasterx265: Bosphorus 4Kincompact3d: X3D-benchmarking input.i3dcompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedamd_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 performance50047171670337.9419.17141.7945.992853983355.12373.47372.98641.844725.575876.4122.501492.206411.07929.4247.9750.670.2228672.8451869.2150926.202868.9182310.296205.6828403.291158.1292830.096776.9866610.7001104.5730108.1971587.7380307.0385207.611473.0239868.0756146738.16116.05227167.40915.524030.0353.091195.353738.0417.10267.15239.055291.4524.173654.5117.4935205.473.5151436411011304354384179868768212885500.39012482660.64112075400.8282887317.3722427532.9612197845.50910032.0592593.453175.455170.26587.7538.41157.10241.89825.521176.495111.94924.2839.9641.1311.633.3596.32618.56264.91048116.01278.38.911195.052234872652137.6818.80140.1845.722905181395.53409.86406.99761.050217.286214.8123.145894.784111.17931.9954.6956.140.2227072.9497868.8719929.789468.7056310.4330205.4179404.9534157.5501830.013176.9790609.6137104.7553108.1954587.8421307.6420207.437772.9379867.9275147764.25114.86885170.7147815.544015.9153.071195.603748.1717.06266.96239.295294.9724.163670.7817.4135601.833.4551637411031299355734165069747813060990.38312417260.64412090330.8273561014.6382683029.8232429941.1779982.3480794.158186.048194.10397.1240.19149.76737.32122.623172.884105.52927.0146.2647.2513.374.0227.39720.55264.59046417.61278.69.281203.645961766142038.3519.74143.0446.732863951339.68349.30353.17570.543287.274380.0121.297093.727911.13120.6645.5641.830.2245072.7952868.9246931.600568.5591309.3788205.6999403.5860158.0751829.603577.0202609.8987104.6604108.1498587.7795307.7129207.332873.0501867.0199145614.76116.28282169.2499215.504033.6352.911199.873730.6617.14268.24238.165277.0224.243645.6017.5336975.343.3247734611021303352434153267120712927980.38712459140.64212264290.8152868217.4862417333.1292152246.47410081.8012382.443155.770145.32365.6331.64173.20147.93530.833184.470120.48317.3333.7933.767.952.4714.76915.33263.30023215.21269.88.721186.051444373388237.5718.95140.3645.752980719392.95407.73394.98763.449015.586477.3122.872993.501211.07432.3054.7755.850.2202173.0561868.2616931.582168.5813310.7448205.3031404.5464157.7002830.324176.9051610.3155104.6233108.1144587.6097307.8920207.185373.1372866.9818152654.86116.19384167.8186415.554005.0352.791203.523744.8517.07266.56239.705291.0024.173679.3117.3736507.113.3851238511011302352104168670028712860420.38912404060.64512267430.8153228615.5292759629.0002608538.34110102.3464474.181173.314188.42396.7340.39148.50337.01122.530172.857105.82527.0646.3146.0812.834.0237.35220.63264.82454417.51276.29.261203.339498269922840.0420.26147.4648.492836504252.79254.40251.84195.941485.572179.6116.753088.80228.48214.3926.2126.540.2342070.7499895.1272897.637571.1617299.5680212.6277388.6392164.2008809.904878.8686587.4762108.6614104.8933605.6728297.1387214.472971.0074893.4282138510.00127.85527182.4368914.634262.2950.351260.491416.7746.49265.31240.825029.0525.432062.0432.4233751.583.554683271166137636976437057111256360880.7967049291.1467149801.4111929827.7441239766.3871261381.1929870.8114183.32290.27772.22136.5026.63156.94541.94025.392182.768113.13112.2525.4321.653.063.1366.23016.36267.53609217.11261.89.201191.553068974637637.7318.89140.3545.772815356394.32404.95406.41766.849340.482071.4123.024893.605011.05332.0053.7755.270.2246472.9079867.8993930.493268.6499310.3004205.4057404.2950157.7992830.851976.9068609.9637104.7278108.4041586.8584307.2669207.674173.2692866.9595151325.01116.10875168.79915.524030.7953.031195.233749.6917.05267.30239.025292.0824.173678.9117.3736428.763.3953437410981300351864158870121513118370.38112686880.63012308410.8123285815.2572788028.7152490440.15510102.3630704.184182.358191.04697.5040.89146.64437.05322.519173.636104.93426.8945.4145.4613.324.0217.30620.74265.31262217.61188.19.311171.2100970104287254.46124.48933.41297.6740561466.8175.8676.66126.811461.416811.819.668524.79172.1674.837.437.721.4098212.96834864.7028215.5167295.491856.65821124.304670.8684884.2913147.6880431.9597109.7693577.768818.20483485.212955.22451143.055513.00284868.105727774.70773.96684773.032832.5424236.978.387565.21596.04107.1751.521229.86830.31153.78202.83315.265175.9624.55102726700068548291743332950795703184801.5713173602.5223122453.203668675.9845465146.5724973201.10187750.3014500.55836.64732.26516.548.741100.363258.873156.7831094.374752.9863.976.776.881.860.5681.1574.37540.5448811.97146.11.06140.148538773901637.8519.18141.9146.192863742297.77306.46310.66574.845780.375334.7121.857692.80049.55030.3252.1752.600.2228972.5195876.4961931.203268.5979309.5958206.1379401.7313158.9464834.463876.5661607.3304105.1513107.4707589.6910306.3994208.091072.4101876.3321122126.56119.63471167.9049115.244103.6452.481210.761960.3036.35279.33228.755224.8324.481915.3735.3935501.213.4051436311181322354404189770534110377030.4909977420.8159559771.0693248616.4361905641.9881787555.95410041.3585493.865171.877161.77875.6937.03153.90340.81224.520177.063109.81324.5841.5741.908.473.6766.64619.29262.40311717.21280.59.131178.047586174854937.6118.90140.5545.953021171351.21362.27352.85438.247827.079962.2122.705593.761511.17322.9752.3252.930.2202573.1026868.8157932.002768.5451310.0940205.4931404.2730157.8251828.896677.0980609.7624104.7469108.1330587.7789307.7165207.271173.0290866.6223146083.16116.43538166.4756615.414054.3053.061195.763741.0617.09266.14239.945292.4224.173663.4817.4436248.383.4153137611031306355054213069878512914710.38912580660.63612378710.8082801617.9092374333.7232256744.3649992.3461124.013167.611144.34279.3639.24149.22237.57622.610172.606106.46621.2140.7140.8214.363.7677.34720.67263.62528517.41270.99.291203.250703974003937.9219.00141.9845.922814269351.39357.63357.94698.049459.981782.3120.799892.953710.85332.3654.7855.580.2229072.7729872.8912929.791068.7068308.6765206.4473403.2806158.0475829.174577.0107608.3023105.0236107.8991588.6134306.6822207.875372.7821872.0650149876.52120.10383168.9986915.444041.3152.761203.423689.9717.33264.82241.175250.1524.363621.5817.6535666.693.4452435711201322356284226470821811242240.44510745000.74510827940.9242934717.1942349334.0592227944.89110062.3267704.090180.332180.34394.6240.00152.99038.36523.440174.946107.14327.2045.1944.5010.723.9747.37319.90264.79713917.51264.79.211203.252828974295537.7119.01140.4545.852921572393.15410.46401.81765.249731.986045.2123.051991.372411.12532.0955.0355.920.2244173.1592869.1872928.538168.7650310.6145205.2817404.1304157.8814828.816177.0588609.0422104.8041108.1608587.3828307.1658207.579873.2510867.8296147285.78115.75608164.0404615.494032.1053.121195.143741.3517.09268.04238.325291.8124.173655.4117.4832979.743.7252436711041306354064185969981612859050.38912348690.64812026370.8323301915.1832709329.5372525239.60210022.3670744.182180.860189.13195.7140.42147.00237.38422.652173.634105.54126.9346.0746.4514.174.0507.32020.96263.62754317.51272.89.121209.1OpenBenchmarking.org

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 powersaveamd_pstate schedutilamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate performance110K220K330K440K550KSE +/- 1055.88, N = 3SE +/- 3670.50, N = 7SE +/- 3758.30, N = 3SE +/- 3716.48, N = 3SE +/- 2092.51, N = 3SE +/- 480.40, N = 3SE +/- 6757.49, N = 3SE +/- 5870.22, N = 4SE +/- 5053.05, N = 3SE +/- 5372.93, N = 6SE +/- 6313.35, N = 31009703949824596174758614853875004715070395144435223485282895306891. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Ratingamd_pstate powersaveamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate ondemandacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate performanceacpi_cpufreq schedutil160K320K480K640K800KSE +/- 136.02, N = 3SE +/- 5960.12, N = 3SE +/- 2716.47, N = 7SE +/- 858.55, N = 3SE +/- 18690.79, N = 3SE +/- 10875.45, N = 4SE +/- 1773.36, N = 3SE +/- 1725.95, N = 3SE +/- 2437.88, N = 6SE +/- 2158.20, N = 3SE +/- 156.12, N = 31042876614206992287167037265217338827390167400397429557463767485491. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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 powersaveamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilamd_pstate_epp performance performance60120180240300SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3254.4640.0438.3537.9437.9237.8537.7337.7137.6837.6137.57

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-Onlyamd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate_epp performance performanceacpi_cpufreq schedutilamd_pstate performanceamd_pstate_epp performance balance_performance306090120150SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 0.09, N = 3124.4820.2619.7419.1819.1719.0119.0018.9518.9018.8918.80

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: CPU-Onlyamd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave poweracpi_cpufreq ondemandamd_pstate ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate performanceamd_pstate_epp performance balance_performance2004006008001000SE +/- 0.78, N = 3SE +/- 0.32, N = 3SE +/- 0.33, N = 3SE +/- 0.15, N = 3SE +/- 0.24, N = 3SE +/- 0.14, N = 3SE +/- 0.28, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3933.41147.46143.04141.98141.91141.79140.55140.45140.36140.35140.18

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: CPU-Onlyamd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate performanceamd_pstate_epp performance performanceamd_pstate_epp performance balance_performance60120180240300SE +/- 0.71, N = 3SE +/- 0.08, N = 3SE +/- 0.42, N = 3SE +/- 0.29, N = 3SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3297.6748.4946.7346.1945.9945.9545.9245.8545.7745.7545.72

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 Metricamd_pstate powersaveacpi_cpufreq ondemandamd_pstate performanceamd_pstate schedutilamd_pstate_epp powersave balance_performanceamd_pstate ondemandamd_pstate_epp powersave poweramd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate_epp performance performanceacpi_cpufreq schedutil600K1200K1800K2400K3000K40561428142692815356283650428539832863742286395129051812921572298071930211711. (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

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 powersaveamd_pstate schedutilamd_pstate ondemandamd_pstate_epp powersave poweracpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate performanceamd_pstate_epp performance balance_performance90180270360450SE +/- 0.36, N = 3SE +/- 2.12, N = 3SE +/- 0.46, N = 3SE +/- 0.77, N = 3SE +/- 1.22, N = 3SE +/- 3.45, N = 3SE +/- 1.39, N = 3SE +/- 2.11, N = 3SE +/- 3.06, N = 3SE +/- 0.63, N = 3SE +/- 4.76, N = 366.81252.79297.77339.68351.21351.39355.12392.95393.15394.32395.53MIN: 43.29 / MAX: 4000MIN: 44.15 / MAX: 2068.97MIN: 39.27 / MAX: 3157.89MIN: 49.63 / MAX: 4000MIN: 47.54 / MAX: 2857.14MIN: 43.45 / MAX: 4000MIN: 51.28 / MAX: 3750MIN: 50.63 / MAX: 3750MIN: 48.47 / MAX: 3750MIN: 48.98 / MAX: 4000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second Runamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandamd_pstate_epp powersave poweracpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate performanceamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceacpi_cpufreq performance90180270360450SE +/- 0.06, N = 3SE +/- 3.86, N = 3SE +/- 2.11, N = 3SE +/- 1.73, N = 3SE +/- 2.51, N = 3SE +/- 0.20, N = 3SE +/- 3.92, N = 3SE +/- 4.90, N = 3SE +/- 1.07, N = 3SE +/- 4.88, N = 3SE +/- 3.72, N = 375.86254.40306.46349.30357.63362.27373.47404.95407.73409.86410.46MIN: 47.85 / MAX: 4285.71MIN: 50.98 / MAX: 2222.22MIN: 45.25 / MAX: 4000MIN: 57.8 / MAX: 3529.41MIN: 50.98 / MAX: 4615.38MIN: 52.86 / MAX: 3750MIN: 54.05 / MAX: 4285.71MIN: 56.66 / MAX: 4285.71MIN: 57.64 / MAX: 4285.71MIN: 58.42 / MAX: 4615.38

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third Runamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq schedutilamd_pstate_epp powersave poweracpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate performanceamd_pstate_epp performance balance_performance90180270360450SE +/- 0.60, N = 3SE +/- 2.60, N = 3SE +/- 0.84, N = 3SE +/- 1.95, N = 3SE +/- 2.43, N = 3SE +/- 2.12, N = 3SE +/- 3.70, N = 3SE +/- 3.27, N = 3SE +/- 1.10, N = 3SE +/- 2.49, N = 3SE +/- 1.36, N = 376.66251.84310.66352.85353.17357.94372.98394.98401.81406.41406.99MIN: 8.52 / MAX: 588.24MIN: 48.15 / MAX: 3157.89MIN: 51.28 / MAX: 2222.22MIN: 50.59 / MAX: 3529.41MIN: 44.91 / MAX: 3000MIN: 56.71 / MAX: 2857.14MIN: 54.1 / MAX: 4285.71MIN: 57.97 / MAX: 3529.41MIN: 56.71 / MAX: 3333.33MIN: 52.77 / MAX: 3529.41MIN: 53.29 / MAX: 3333.33

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 powersaveamd_pstate schedutilacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate performance170340510680850SE +/- 0.42, N = 3SE +/- 2.51, N = 15SE +/- 0.92, N = 3SE +/- 1.71, N = 3SE +/- 4.45, N = 3SE +/- 2.27, N = 3SE +/- 3.24, N = 3SE +/- 1.59, N = 3SE +/- 2.65, N = 3SE +/- 3.30, N = 3SE +/- 1.79, N = 3126.8195.9438.2570.5574.8641.8698.0761.0763.4765.2766.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 512amd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceamd_pstate ondemandacpi_cpufreq schedutilamd_pstate_epp performance performanceamd_pstate performanceacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate_epp performance balance_performance11K22K33K44K55KSE +/- 162.55, N = 3SE +/- 410.53, N = 15SE +/- 530.33, N = 4SE +/- 451.19, N = 3SE +/- 457.69, N = 6SE +/- 524.19, N = 15SE +/- 207.31, N = 3SE +/- 526.94, N = 3SE +/- 590.54, N = 4SE +/- 577.32, N = 3SE +/- 504.99, N = 311461.441485.543287.244725.545780.347827.049015.549340.449459.949731.950217.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 512amd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performance20K40K60K80K100KSE +/- 36.89, N = 3SE +/- 1298.96, N = 15SE +/- 99.42, N = 3SE +/- 1169.53, N = 15SE +/- 1522.12, N = 15SE +/- 1766.85, N = 15SE +/- 1583.45, N = 15SE +/- 1631.30, N = 15SE +/- 373.82, N = 3SE +/- 262.84, N = 3SE +/- 465.83, N = 316811.872179.674380.075334.775876.479962.281782.382071.486045.286214.886477.3

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 powersaveamd_pstate schedutilacpi_cpufreq ondemandamd_pstate_epp powersave poweramd_pstate ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilamd_pstate_epp performance performanceamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performance306090120150SE +/- 0.02, N = 3SE +/- 0.22, N = 7SE +/- 0.33, N = 7SE +/- 0.21, N = 6SE +/- 0.24, N = 7SE +/- 0.25, N = 7SE +/- 0.15, N = 7SE +/- 0.18, N = 7SE +/- 0.14, N = 7SE +/- 0.13, N = 7SE +/- 0.11, N = 719.67116.75120.80121.30121.86122.50122.71122.87123.02123.05123.15MIN: 112.31 / MAX: 126.6MIN: 116.78 / MAX: 132.34MIN: 107.62 / MAX: 132.2MIN: 117.58 / MAX: 131.5MIN: 118.44 / MAX: 132.08MIN: 119.75 / MAX: 131.8MIN: 119.52 / MAX: 133.96MIN: 120.25 / MAX: 132.77MIN: 119.92 / MAX: 135.17MIN: 120.42 / MAX: 134.1

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: Asian Dragonamd_pstate powersaveamd_pstate schedutilacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp performance performanceamd_pstate performanceamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate_epp performance balance_performance20406080100SE +/- 0.02, N = 3SE +/- 0.79, N = 15SE +/- 0.72, N = 15SE +/- 0.79, N = 15SE +/- 1.15, N = 15SE +/- 0.85, N = 6SE +/- 0.93, N = 15SE +/- 0.98, N = 15SE +/- 0.91, N = 15SE +/- 0.79, N = 6SE +/- 0.87, N = 1524.7988.8091.3792.2192.8092.9593.5093.6193.7393.7694.78MIN: 24.19 / MAX: 25.44MIN: 82.24 / MAX: 97.26MIN: 86.16 / MAX: 99.08MIN: 87.15 / MAX: 100.61MIN: 85.44 / MAX: 101.26MIN: 88.86 / MAX: 98.52MIN: 87.15 / MAX: 102.17MIN: 86.72 / MAX: 102.65MIN: 86.21 / MAX: 102.02MIN: 88.79 / MAX: 100.41MIN: 86.18 / MAX: 101.48

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 powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandamd_pstate performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate_epp performance balance_performance3691215SE +/- 0.004, N = 3SE +/- 0.601, N = 12SE +/- 0.448, N = 15SE +/- 0.125, N = 15SE +/- 0.036, N = 3SE +/- 0.065, N = 3SE +/- 0.032, N = 3SE +/- 0.018, N = 3SE +/- 0.019, N = 3SE +/- 0.046, N = 3SE +/- 0.057, N = 32.1678.4829.55010.85311.05311.07411.07911.12511.13111.17311.1791. (CXX) g++ options: -O3

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: Mediumamd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate ondemandamd_pstate_epp performance balance_performanceamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance performanceacpi_cpufreq ondemand816243240SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 34.8314.3920.6622.9729.4230.3231.9932.0032.0932.3032.361. (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: Super Fastamd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceamd_pstate ondemandacpi_cpufreq schedutilamd_pstate performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq ondemandacpi_cpufreq performance1224364860SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 1.49, N = 15SE +/- 0.60, N = 15SE +/- 0.26, N = 4SE +/- 0.20, N = 4SE +/- 0.51, N = 5SE +/- 0.60, N = 5SE +/- 0.44, N = 5SE +/- 0.50, N = 5SE +/- 0.52, N = 57.4326.2145.5647.9752.1752.3253.7754.6954.7754.7855.031. (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 powersaveamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceamd_pstate ondemandacpi_cpufreq schedutilamd_pstate performanceacpi_cpufreq ondemandamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performance1326395265SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 1.47, N = 15SE +/- 0.70, N = 15SE +/- 0.50, N = 4SE +/- 0.44, N = 5SE +/- 0.11, N = 5SE +/- 0.48, N = 5SE +/- 0.46, N = 5SE +/- 0.48, N = 5SE +/- 0.40, N = 57.7226.5441.8350.6752.6052.9355.2755.5855.8555.9256.141. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 powersaveamd_pstate schedutilamd_pstate performanceamd_pstate_epp powersave poweracpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilamd_pstate_epp performance performance0.31720.63440.95161.26881.586SE +/- 0.00490, N = 3SE +/- 0.00054, N = 3SE +/- 0.00077, N = 4SE +/- 0.00042, N = 3SE +/- 0.00089, N = 4SE +/- 0.00142, N = 3SE +/- 0.00244, N = 3SE +/- 0.00272, N = 3SE +/- 0.00158, N = 4SE +/- 0.00170, N = 3SE +/- 0.00124, N = 41.409820.234200.224640.224500.224410.222900.222890.222860.222700.220250.22021

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 Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceamd_pstate performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq schedutilacpi_cpufreq performance1632486480SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 312.9770.7572.5272.7772.8072.8572.9172.9573.0673.1073.16

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceamd_pstate_epp powersave poweramd_pstate_epp performance balance_performanceacpi_cpufreq schedutilamd_pstate_epp performance performanceamd_pstate performance10002000300040005000SE +/- 3.96, N = 3SE +/- 0.52, N = 3SE +/- 0.23, N = 3SE +/- 0.08, N = 3SE +/- 0.37, N = 3SE +/- 0.34, N = 3SE +/- 0.34, N = 3SE +/- 0.32, N = 3SE +/- 0.13, N = 3SE +/- 0.36, N = 3SE +/- 0.55, N = 34864.70895.13876.50872.89869.22869.19868.92868.87868.82868.26867.90

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamamd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performanceacpi_cpufreq ondemandamd_pstate performanceamd_pstate ondemandamd_pstate_epp performance performanceamd_pstate_epp powersave poweracpi_cpufreq schedutil2004006008001000SE +/- 0.06, N = 3SE +/- 0.59, N = 3SE +/- 3.90, N = 3SE +/- 1.66, N = 3SE +/- 2.48, N = 3SE +/- 1.23, N = 3SE +/- 1.11, N = 3SE +/- 0.27, N = 3SE +/- 1.42, N = 3SE +/- 0.75, N = 3SE +/- 0.68, N = 3215.52897.64926.20928.54929.79929.79930.49931.20931.58931.60932.00

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamamd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceacpi_cpufreq ondemandamd_pstate_epp performance balance_performanceamd_pstate performanceamd_pstate ondemandamd_pstate_epp performance performanceamd_pstate_epp powersave poweracpi_cpufreq schedutil60120180240300SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.28, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3295.4971.1668.9268.7768.7168.7168.6568.6068.5868.5668.55

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 powersaveamd_pstate schedutilacpi_cpufreq ondemandamd_pstate_epp powersave poweramd_pstate ondemandacpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate performanceamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate_epp performance performance70140210280350SE +/- 0.06, N = 3SE +/- 0.24, N = 3SE +/- 0.62, N = 3SE +/- 0.37, N = 3SE +/- 0.48, N = 3SE +/- 0.24, N = 3SE +/- 0.30, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.30, N = 3SE +/- 0.15, N = 356.66299.57308.68309.38309.60310.09310.30310.30310.43310.61310.74

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamamd_pstate powersaveamd_pstate schedutilacpi_cpufreq ondemandamd_pstate ondemandamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceamd_pstate performanceamd_pstate_epp performance performanceacpi_cpufreq performance2004006008001000SE +/- 1.11, N = 3SE +/- 0.11, N = 3SE +/- 0.31, N = 3SE +/- 0.25, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 31124.30212.63206.45206.14205.70205.68205.49205.42205.41205.30205.28

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweracpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate performanceamd_pstate_epp performance performanceamd_pstate_epp performance balance_performance90180270360450SE +/- 0.15, N = 3SE +/- 0.49, N = 3SE +/- 0.34, N = 3SE +/- 0.36, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.60, N = 3SE +/- 0.37, N = 3SE +/- 0.32, N = 3SE +/- 0.15, N = 370.87388.64401.73403.28403.29403.59404.13404.27404.30404.55404.95

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweracpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate performanceamd_pstate_epp performance performanceamd_pstate_epp performance balance_performance2004006008001000SE +/- 1.48, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.18, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 3884.29164.20158.95158.13158.08158.05157.88157.83157.80157.70157.55

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamamd_pstate powersaveamd_pstate schedutilacpi_cpufreq performanceacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate_epp powersave poweramd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceamd_pstate performanceamd_pstate ondemand2004006008001000SE +/- 0.17, N = 3SE +/- 0.84, N = 3SE +/- 0.63, N = 3SE +/- 0.64, N = 3SE +/- 1.55, N = 3SE +/- 1.08, N = 3SE +/- 1.68, N = 3SE +/- 1.36, N = 3SE +/- 1.26, N = 3SE +/- 1.41, N = 3SE +/- 1.55, N = 3147.69809.90828.82828.90829.17829.60830.01830.10830.32830.85834.46

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamamd_pstate powersaveamd_pstate schedutilacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate_epp powersave poweracpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceamd_pstate performanceamd_pstate_epp performance performanceamd_pstate ondemand90180270360450SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3431.9678.8777.1077.0677.0277.0176.9976.9876.9176.9176.57

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performance130260390520650SE +/- 0.09, N = 3SE +/- 1.22, N = 3SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.68, N = 3SE +/- 0.26, N = 3SE +/- 1.19, N = 3SE +/- 0.24, N = 3SE +/- 0.82, N = 3SE +/- 0.35, N = 3SE +/- 0.85, N = 3109.77587.48607.33608.30609.04609.61609.76609.90609.96610.32610.70

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilamd_pstate performanceamd_pstate_epp powersave poweramd_pstate_epp performance performanceamd_pstate_epp powersave balance_performance120240360480600SE +/- 0.31, N = 3SE +/- 0.25, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3577.77108.66105.15105.02104.80104.76104.75104.73104.66104.62104.57

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp performance performanceacpi_cpufreq schedutilamd_pstate_epp powersave poweracpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceamd_pstate performance20406080100SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 318.20104.89107.47107.90108.11108.13108.15108.16108.20108.20108.40

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp performance balance_performanceamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate performance7001400210028003500SE +/- 0.92, N = 3SE +/- 0.38, N = 3SE +/- 0.30, N = 3SE +/- 0.20, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.24, N = 3SE +/- 0.37, N = 3SE +/- 0.23, N = 3SE +/- 0.22, N = 3SE +/- 0.41, N = 33485.21605.67589.69588.61587.84587.78587.78587.74587.61587.38586.86

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceamd_pstate performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate_epp performance performance70140210280350SE +/- 0.07, N = 3SE +/- 0.78, N = 3SE +/- 0.22, N = 3SE +/- 0.60, N = 3SE +/- 0.63, N = 3SE +/- 0.69, N = 3SE +/- 0.44, N = 3SE +/- 0.82, N = 3SE +/- 0.25, N = 3SE +/- 0.63, N = 3SE +/- 0.09, N = 355.22297.14306.40306.68307.04307.17307.27307.64307.71307.72307.89

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandamd_pstate performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate_epp performance performance2004006008001000SE +/- 0.96, N = 3SE +/- 0.54, N = 3SE +/- 0.15, N = 3SE +/- 0.26, N = 3SE +/- 0.30, N = 3SE +/- 0.29, N = 3SE +/- 0.28, N = 3SE +/- 0.48, N = 3SE +/- 0.11, N = 3SE +/- 0.52, N = 3SE +/- 0.11, N = 31143.06214.47208.09207.88207.67207.61207.58207.44207.33207.27207.19

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate performance1632486480SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 313.0071.0172.4172.7872.9473.0273.0373.0573.1473.2573.27

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate_epp powersave poweramd_pstate_epp performance performanceamd_pstate performanceacpi_cpufreq schedutil10002000300040005000SE +/- 2.96, N = 3SE +/- 0.79, N = 3SE +/- 0.56, N = 3SE +/- 0.15, N = 3SE +/- 0.33, N = 3SE +/- 0.23, N = 3SE +/- 0.69, N = 3SE +/- 0.24, N = 3SE +/- 0.76, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 34868.11893.43876.33872.07868.08867.93867.83867.02866.98866.96866.62

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 powersaveamd_pstate ondemandamd_pstate schedutilamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performanceacpi_cpufreq ondemandamd_pstate performanceamd_pstate_epp performance performance30K60K90K120K150KSE +/- 131.35, N = 3SE +/- 208.90, N = 3SE +/- 115.95, N = 3SE +/- 1620.42, N = 5SE +/- 1781.93, N = 4SE +/- 1575.56, N = 5SE +/- 693.20, N = 3SE +/- 1361.88, N = 3SE +/- 977.04, N = 3SE +/- 684.93, N = 3SE +/- 2024.19, N = 327774.70122126.56138510.00145614.76146083.16146738.16147285.78147764.25149876.52151325.01152654.861. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

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 powersaveamd_pstate schedutilacpi_cpufreq ondemandamd_pstate ondemandacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate_epp performance performanceamd_pstate performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performance170340510680850773.97127.86120.10119.63116.44116.28116.19116.11116.05115.76114.871. (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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution Timeamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp powersave poweracpi_cpufreq ondemandamd_pstate performanceamd_pstate ondemandamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilacpi_cpufreq performance170340510680850773.03182.44170.71169.25169.00168.80167.90167.82167.41166.48164.041. (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

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 powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq schedutilacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceamd_pstate performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performance48121620SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 32.5414.6315.2415.4115.4415.4915.5015.5215.5215.5415.551. (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 powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate_epp powersave poweracpi_cpufreq performanceamd_pstate performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performance5K10K15K20K25KSE +/- 217.31, N = 3SE +/- 8.81, N = 3SE +/- 15.80, N = 3SE +/- 5.84, N = 3SE +/- 2.84, N = 3SE +/- 6.67, N = 3SE +/- 4.16, N = 3SE +/- 4.79, N = 3SE +/- 4.72, N = 3SE +/- 8.61, N = 3SE +/- 9.11, N = 324236.974262.294103.644054.304041.314033.634032.104030.794030.034015.914005.03MIN: 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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp performance performanceamd_pstate_epp powersave poweramd_pstate performanceacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq performance1224364860SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.35, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 38.3850.3552.4852.7652.7952.9153.0353.0653.0753.0953.121. (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: CPUamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandamd_pstate_epp performance performanceacpi_cpufreq ondemandamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceamd_pstate performanceacpi_cpufreq performance16003200480064008000SE +/- 16.67, N = 3SE +/- 0.52, N = 3SE +/- 0.24, N = 3SE +/- 8.32, N = 3SE +/- 0.25, N = 3SE +/- 0.05, N = 3SE +/- 1.11, N = 3SE +/- 0.45, N = 3SE +/- 0.15, N = 3SE +/- 0.68, N = 3SE +/- 0.38, N = 37565.211260.491210.761203.521203.421199.871195.761195.601195.351195.231195.14MIN: 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 powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceamd_pstate performance8001600240032004000SE +/- 0.14, N = 3SE +/- 78.31, N = 12SE +/- 176.75, N = 15SE +/- 1.17, N = 3SE +/- 0.85, N = 3SE +/- 1.15, N = 3SE +/- 1.38, N = 3SE +/- 0.08, N = 3SE +/- 0.90, N = 3SE +/- 0.22, N = 3SE +/- 1.03, N = 3596.041416.771960.303689.973730.663738.043741.063741.353744.853748.173749.691. (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 powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceamd_pstate performance20406080100SE +/- 0.03, N = 3SE +/- 2.29, N = 12SE +/- 3.03, N = 15SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3107.1746.4936.3517.3317.1417.1017.0917.0917.0717.0617.05MIN: 59.84 / MAX: 344.36MIN: 8.5 / MAX: 147.24MIN: 7.98 / MAX: 137.61MIN: 9.07 / MAX: 83.28MIN: 9.37 / MAX: 88.86MIN: 9.33 / MAX: 84.63MIN: 9.82 / MAX: 80.61MIN: 9.24 / MAX: 81.88MIN: 8.56 / MAX: 80.26MIN: 9.02 / MAX: 83.41MIN: 9.39 / MAX: 80.761. (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: Machine Translation EN To DE FP16 - Device: CPUamd_pstate powersaveacpi_cpufreq ondemandamd_pstate schedutilacpi_cpufreq schedutilamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp powersave poweramd_pstate ondemand60120180240300SE +/- 0.34, N = 15SE +/- 1.08, N = 3SE +/- 0.47, N = 3SE +/- 1.35, N = 3SE +/- 2.34, N = 3SE +/- 1.18, N = 3SE +/- 1.00, N = 3SE +/- 0.60, N = 3SE +/- 1.06, N = 3SE +/- 0.60, N = 3SE +/- 0.14, N = 351.52264.82265.31266.14266.56266.96267.15267.30268.04268.24279.331. (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: Machine Translation EN To DE FP16 - Device: CPUamd_pstate powersaveacpi_cpufreq ondemandamd_pstate schedutilacpi_cpufreq schedutilamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave balance_performanceamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp powersave poweramd_pstate ondemand30060090012001500SE +/- 7.94, N = 15SE +/- 1.01, N = 3SE +/- 0.48, N = 3SE +/- 1.21, N = 3SE +/- 2.12, N = 3SE +/- 1.09, N = 3SE +/- 0.82, N = 3SE +/- 0.54, N = 3SE +/- 0.97, N = 3SE +/- 0.51, N = 3SE +/- 0.15, N = 31229.86241.17240.82239.94239.70239.29239.05239.02238.32238.16228.75MIN: 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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp powersave poweramd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceamd_pstate performanceacpi_cpufreq schedutilamd_pstate_epp performance balance_performance11002200330044005500SE +/- 0.10, N = 3SE +/- 0.59, N = 3SE +/- 1.03, N = 3SE +/- 0.47, N = 3SE +/- 1.46, N = 3SE +/- 0.41, N = 3SE +/- 0.95, N = 3SE +/- 0.80, N = 3SE +/- 2.23, N = 3SE +/- 0.71, N = 3SE +/- 1.37, N = 3830.315029.055224.835250.155277.025291.005291.455291.815292.085292.425294.971. (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 powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp powersave poweracpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performance306090120150SE +/- 0.04, 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 +/- 0.01, N = 3SE +/- 0.01, N = 3153.7825.4324.4824.3624.2424.1724.1724.1724.1724.1724.16MIN: 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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUamd_pstate powersaveamd_pstate ondemandamd_pstate schedutilacpi_cpufreq ondemandamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceamd_pstate performanceamd_pstate_epp performance performance8001600240032004000SE +/- 1.43, N = 15SE +/- 155.56, N = 12SE +/- 113.70, N = 15SE +/- 13.56, N = 3SE +/- 8.08, N = 3SE +/- 3.07, N = 3SE +/- 4.78, N = 3SE +/- 6.58, N = 3SE +/- 6.01, N = 3SE +/- 4.65, N = 3SE +/- 3.54, N = 3202.831915.372062.043621.583645.603654.513655.413663.483670.783678.913679.311. (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: Person Vehicle Bike Detection FP16 - Device: CPUamd_pstate powersaveamd_pstate ondemandamd_pstate schedutilacpi_cpufreq ondemandamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceamd_pstate performanceamd_pstate_epp performance performance70140210280350SE +/- 2.16, N = 15SE +/- 2.27, N = 12SE +/- 1.86, N = 15SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3315.2635.3932.4217.6517.5317.4917.4817.4417.4117.3717.37MIN: 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: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUamd_pstate powersaveacpi_cpufreq performanceamd_pstate schedutilamd_pstate_epp powersave balance_performanceamd_pstate ondemandamd_pstate_epp performance balance_performanceacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate performanceamd_pstate_epp performance performanceamd_pstate_epp powersave power8K16K24K32K40KSE +/- 15.51, N = 3SE +/- 342.83, N = 5SE +/- 909.70, N = 12SE +/- 1060.84, N = 15SE +/- 946.71, N = 12SE +/- 724.32, N = 12SE +/- 1008.62, N = 15SE +/- 1216.09, N = 15SE +/- 1205.35, N = 12SE +/- 1139.15, N = 15SE +/- 894.45, N = 155175.9632979.7433751.5835205.4735501.2135601.8335666.6936248.3836428.7636507.1136975.341. (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: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUamd_pstate powersaveacpi_cpufreq performanceamd_pstate schedutilamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate_epp performance performanceamd_pstate_epp powersave power612182430SE +/- 0.07, N = 3SE +/- 0.04, N = 5SE +/- 0.11, N = 12SE +/- 0.10, N = 15SE +/- 0.07, N = 12SE +/- 0.10, N = 15SE +/- 0.11, N = 15SE +/- 0.10, N = 12SE +/- 0.12, N = 12SE +/- 0.10, N = 15SE +/- 0.09, N = 1524.553.723.553.513.453.443.413.403.393.383.32MIN: 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

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 powersaveamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate ondemandamd_pstate_epp performance balance_performanceacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate performance120240360480600SE +/- 1.20, N = 3SE +/- 5.51, N = 3SE +/- 2.08, N = 3SE +/- 4.37, N = 3SE +/- 4.72, N = 7SE +/- 3.61, N = 3SE +/- 1.76, N = 3SE +/- 4.59, N = 8SE +/- 1.76, N = 3SE +/- 6.96, N = 3SE +/- 6.51, N = 4102468477512514514516524524531534MIN: 24 / MAX: 400MIN: 146 / MAX: 1159MIN: 107 / MAX: 1723MIN: 151 / MAX: 1504MIN: 148 / MAX: 1583MIN: 149 / MAX: 1600MIN: 150 / MAX: 1507MIN: 148 / MAX: 1602MIN: 149 / MAX: 1516MIN: 153 / MAX: 1787MIN: 153 / MAX: 1522

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark Scalaramd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave poweracpi_cpufreq ondemandamd_pstate ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate performanceacpi_cpufreq schedutilamd_pstate_epp performance performance80160240320400SE +/- 0.33, N = 3SE +/- 2.31, N = 3SE +/- 2.19, N = 3SE +/- 1.76, N = 3SE +/- 3.76, N = 3SE +/- 6.08, N = 6SE +/- 4.13, N = 9SE +/- 3.82, N = 5SE +/- 3.95, N = 9SE +/- 4.33, N = 3SE +/- 1.20, N = 372327346357363364367374374376385MIN: 11 / MAX: 516MIN: 72 / MAX: 1129MIN: 62 / MAX: 1800MIN: 75 / MAX: 1532MIN: 73 / MAX: 1686MIN: 71 / MAX: 1707MIN: 73 / MAX: 1729MIN: 75 / MAX: 1552MIN: 74 / MAX: 1559MIN: 75 / MAX: 1829MIN: 75 / MAX: 1589

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 powersaveamd_pstate schedutilacpi_cpufreq ondemandamd_pstate ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp powersave poweramd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate performance14K28K42K56K70KSE +/- 875.42, N = 12SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 2.03, N = 3SE +/- 1.00, N = 3SE +/- 2.85, N = 3SE +/- 1.33, N = 3SE +/- 0.67, N = 3SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 1.15, N = 36700011661120111811041103110311021101110110981. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Traceramd_pstate powersaveamd_pstate schedutilacpi_cpufreq ondemandamd_pstate ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave poweramd_pstate_epp performance performanceamd_pstate performanceamd_pstate_epp performance balance_performance15K30K45K60K75KSE +/- 831.01, N = 12SE +/- 1.15, N = 3SE +/- 2.19, N = 3SE +/- 0.67, N = 3SE +/- 1.45, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 0.88, N = 3SE +/- 2.08, N = 3SE +/- 1.45, N = 3SE +/- 2.03, N = 36854813761322132213061306130413031302130012991. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Traceramd_pstate powersaveamd_pstate schedutilacpi_cpufreq ondemandamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceamd_pstate_epp powersave poweramd_pstate_epp performance performanceamd_pstate performance60K120K180K240K300KSE +/- 829.19, N = 3SE +/- 66.07, N = 3SE +/- 25.51, N = 3SE +/- 76.22, N = 3SE +/- 88.76, N = 3SE +/- 52.33, N = 3SE +/- 29.34, N = 3SE +/- 117.33, N = 3SE +/- 69.50, N = 3SE +/- 31.26, N = 3SE +/- 23.07, N = 3291743369763562835573355053544035438354063524335210351861. (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 powersaveamd_pstate schedutilacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate ondemandacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceamd_pstate performanceamd_pstate_epp powersave power70K140K210K280K350KSE +/- 671.47, N = 3SE +/- 7.42, N = 3SE +/- 28.29, N = 3SE +/- 70.48, N = 3SE +/- 85.87, N = 3SE +/- 98.82, N = 3SE +/- 62.74, N = 3SE +/- 36.04, N = 3SE +/- 58.85, N = 3SE +/- 83.21, N = 3SE +/- 90.34, N = 3332950437054226442130418974185941798416864165041588415321. (CXX) g++ options: -O3 -lm -ldl

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 powersaveamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate performanceamd_pstate ondemandacpi_cpufreq ondemandamd_pstate schedutil150K300K450K600K750KSE +/- 423.55, N = 3SE +/- 981.48, N = 3SE +/- 2423.31, N = 3SE +/- 5808.55, N = 12SE +/- 2191.80, N = 3SE +/- 4034.04, N = 3SE +/- 4455.74, N = 3SE +/- 3225.60, N = 3SE +/- 5843.40, N = 3SE +/- 5594.67, N = 3SE +/- 5021.57, N = 379570671207687682697478698785699816700287701215705341708218711125

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: 500 - Mode: Read Onlyamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate_epp performance balance_performanceamd_pstate performance300K600K900K1200K1500KSE +/- 3162.32, N = 6SE +/- 23969.59, N = 12SE +/- 38153.01, N = 12SE +/- 16168.04, N = 3SE +/- 16034.65, N = 4SE +/- 10272.10, N = 3SE +/- 28243.17, N = 11SE +/- 24805.29, N = 12SE +/- 16514.38, N = 3SE +/- 10261.05, N = 3SE +/- 2192.30, N = 33184806360881037703112422412859051286042128855012914711292798130609913118371. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latencyamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate_epp performance performanceamd_pstate_epp powersave poweramd_pstate_epp performance balance_performanceamd_pstate performance0.35350.7071.06051.4141.7675SE +/- 0.016, N = 6SE +/- 0.025, N = 12SE +/- 0.020, N = 12SE +/- 0.006, N = 3SE +/- 0.010, N = 11SE +/- 0.005, N = 4SE +/- 0.009, N = 12SE +/- 0.003, N = 3SE +/- 0.005, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 31.5710.7960.4900.4450.3900.3890.3890.3890.3870.3830.3811. (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 powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilamd_pstate performance300K600K900K1200K1500KSE +/- 2702.31, N = 8SE +/- 21438.85, N = 12SE +/- 36540.35, N = 12SE +/- 11695.71, N = 4SE +/- 8479.39, N = 3SE +/- 7684.39, N = 3SE +/- 15062.87, N = 3SE +/- 2388.78, N = 3SE +/- 8403.56, N = 3SE +/- 716.94, N = 3SE +/- 9347.57, N = 3317360704929997742107450012348691240406124172612459141248266125806612686881. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latencyamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilamd_pstate performance0.56751.1351.70252.272.8375SE +/- 0.022, N = 8SE +/- 0.033, N = 12SE +/- 0.033, N = 12SE +/- 0.008, N = 4SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.008, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 32.5221.1460.8150.7450.6480.6450.6440.6420.6410.6360.6301. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 1000 - Mode: Read Onlyamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceamd_pstate_epp powersave poweramd_pstate_epp performance performanceamd_pstate performanceacpi_cpufreq schedutil300K600K900K1200K1500KSE +/- 1792.34, N = 3SE +/- 20475.53, N = 12SE +/- 40789.54, N = 12SE +/- 3711.22, N = 3SE +/- 9650.25, N = 3SE +/- 5837.45, N = 3SE +/- 7063.00, N = 3SE +/- 3162.21, N = 3SE +/- 6415.45, N = 3SE +/- 13365.19, N = 3SE +/- 5317.94, N = 3312245714980955977108279412026371207540120903312264291226743123084112378711. (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 Latencyamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave poweramd_pstate performanceacpi_cpufreq schedutil0.72071.44142.16212.88283.6035SE +/- 0.018, N = 3SE +/- 0.040, N = 12SE +/- 0.048, N = 12SE +/- 0.003, N = 3SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.009, N = 3SE +/- 0.004, N = 33.2031.4111.0690.9240.8320.8280.8270.8150.8150.8120.8081. (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 powersaveamd_pstate schedutilacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandamd_pstate_epp performance performanceamd_pstate ondemandamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performance8K16K24K32K40KSE +/- 295.83, N = 12SE +/- 1491.09, N = 12SE +/- 523.79, N = 12SE +/- 497.87, N = 12SE +/- 508.85, N = 12SE +/- 904.79, N = 12SE +/- 524.88, N = 12SE +/- 2388.98, N = 12SE +/- 539.21, N = 12SE +/- 531.49, N = 12SE +/- 2742.94, N = 126686192982801628682288732934732286324863285833019356101. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latencyamd_pstate powersaveamd_pstate schedutilacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandamd_pstate ondemandamd_pstate_epp performance performanceamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performance20406080100SE +/- 2.49, N = 12SE +/- 2.25, N = 12SE +/- 0.30, N = 12SE +/- 0.28, N = 12SE +/- 0.28, N = 12SE +/- 0.46, N = 12SE +/- 1.31, N = 12SE +/- 0.24, N = 12SE +/- 0.22, N = 12SE +/- 0.23, N = 12SE +/- 0.71, N = 1275.9827.7417.9117.4917.3717.1916.4415.5315.2615.1814.641. (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 powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate performance6K12K18K24K30KSE +/- 60.47, N = 12SE +/- 766.72, N = 9SE +/- 148.91, N = 3SE +/- 234.54, N = 3SE +/- 213.86, N = 12SE +/- 233.05, N = 12SE +/- 216.59, N = 3SE +/- 272.14, N = 3SE +/- 343.31, N = 3SE +/- 307.60, N = 4SE +/- 225.23, N = 125465123971905623493237432417324275268302709327596278801. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latencyamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate performance306090120150SE +/- 1.56, N = 12SE +/- 3.77, N = 9SE +/- 0.33, N = 3SE +/- 0.34, N = 3SE +/- 0.30, N = 12SE +/- 0.32, N = 12SE +/- 0.29, N = 3SE +/- 0.30, N = 3SE +/- 0.37, N = 3SE +/- 0.32, N = 4SE +/- 0.24, N = 12146.5766.3941.9934.0633.7233.1332.9629.8229.5429.0028.721. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 1000 - Mode: Read Writeamd_pstate powersaveamd_pstate schedutilamd_pstate ondemandamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance performance6K12K18K24K30KSE +/- 29.56, N = 3SE +/- 734.11, N = 9SE +/- 179.41, N = 3SE +/- 224.57, N = 3SE +/- 214.70, N = 3SE +/- 157.83, N = 3SE +/- 232.73, N = 12SE +/- 174.68, N = 12SE +/- 63.64, N = 3SE +/- 72.30, N = 3SE +/- 207.97, N = 34973126131787521522219782227922567242992490425252260851. (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 powersaveamd_pstate schedutilamd_pstate ondemandamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance performance4080120160200SE +/- 1.19, N = 3SE +/- 4.17, N = 9SE +/- 0.57, N = 3SE +/- 0.48, N = 3SE +/- 0.45, N = 3SE +/- 0.32, N = 3SE +/- 0.45, N = 12SE +/- 0.30, N = 12SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.31, N = 3201.1081.1955.9546.4745.5144.8944.3641.1840.1639.6038.341. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

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 powersaveamd_pstate performanceamd_pstate_epp performance performanceamd_pstate_epp powersave poweracpi_cpufreq ondemandamd_pstate ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate_epp performance balance_performanceamd_pstate schedutil2K4K6K8K10KSE +/- 41.93, N = 3SE +/- 3.28, N = 3SE +/- 4.04, N = 3SE +/- 7.22, N = 3SE +/- 9.13, N = 3SE +/- 5.81, N = 3SE +/- 0.88, N = 3SE +/- 5.81, N = 3SE +/- 7.81, N = 3SE +/- 6.01, N = 3SE +/- 2.85, N = 387751010101010081006100410031002999998987

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: 1024amd_pstate powersaveamd_pstate schedutilamd_pstate ondemandamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceamd_pstate performanceacpi_cpufreq performance0.53261.06521.59782.13042.663SE +/- 0.000425, N = 3SE +/- 0.011706, N = 12SE +/- 0.009049, N = 3SE +/- 0.042633, N = 12SE +/- 0.017556, N = 15SE +/- 0.003977, N = 3SE +/- 0.001977, N = 3SE +/- 0.031447, N = 3SE +/- 0.005634, N = 3SE +/- 0.008972, N = 3SE +/- 0.015239, N = 30.3014500.8114181.3585491.8012382.0592592.3267702.3461122.3464472.3480792.3630702.3670741. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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 powersaveamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate_epp powersave balance_performanceamd_pstate ondemandacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate performance0.94141.88282.82423.76564.707SE +/- 0.001, N = 3SE +/- 0.007, N = 3SE +/- 0.022, N = 3SE +/- 0.013, N = 3SE +/- 0.020, N = 3SE +/- 0.003, N = 3SE +/- 0.025, N = 3SE +/- 0.008, N = 3SE +/- 0.016, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 30.5582.4433.3223.4533.8654.0134.0904.1584.1814.1824.1841. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4Kamd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate ondemandamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate performanceamd_pstate_epp performance balance_performance4080120160200SE +/- 0.49, N = 12SE +/- 1.29, N = 15SE +/- 1.61, N = 15SE +/- 2.84, N = 15SE +/- 2.56, N = 15SE +/- 2.85, N = 15SE +/- 2.85, N = 15SE +/- 3.33, N = 15SE +/- 3.08, N = 15SE +/- 3.27, N = 15SE +/- 3.08, N = 1536.6590.28155.77167.61171.88173.31175.46180.33180.86182.36186.051. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4Kamd_pstate powersaveamd_pstate schedutilacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate performanceamd_pstate_epp performance balance_performance4080120160200SE +/- 0.14, N = 3SE +/- 0.85, N = 15SE +/- 1.54, N = 15SE +/- 1.22, N = 6SE +/- 1.52, N = 7SE +/- 1.23, N = 12SE +/- 1.37, N = 10SE +/- 2.12, N = 15SE +/- 2.47, N = 15SE +/- 1.88, N = 15SE +/- 1.60, N = 732.2772.22144.34145.32161.78170.27180.34188.42189.13191.05194.101. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 powersaveamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate ondemandacpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceamd_pstate performance20406080100SE +/- 0.01, N = 3SE +/- 0.31, N = 3SE +/- 0.63, N = 6SE +/- 0.66, N = 3SE +/- 1.99, N = 9SE +/- 0.04, N = 3SE +/- 0.82, N = 9SE +/- 0.99, N = 3SE +/- 0.28, N = 3SE +/- 0.07, N = 3SE +/- 0.36, N = 316.5436.5065.6375.6979.3687.7594.6295.7196.7397.1297.50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: GoogLeNetamd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate performance918273645SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 38.7426.6331.6437.0338.4139.2440.0040.1940.3940.4240.89

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 powersaveamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate performance2004006008001000SE +/- 13.66, N = 3SE +/- 1.51, N = 8SE +/- 1.30, N = 3SE +/- 1.72, N = 3SE +/- 1.36, N = 3SE +/- 1.68, N = 4SE +/- 1.78, N = 3SE +/- 1.73, N = 3SE +/- 0.95, N = 3SE +/- 0.41, N = 3SE +/- 0.56, N = 31100.36173.20157.10156.95153.90152.99149.77149.22148.50147.00146.64

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 powersaveamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate_epp powersave balance_performanceamd_pstate ondemandacpi_cpufreq ondemandacpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate performanceamd_pstate_epp performance performance60120180240300SE +/- 1.50, N = 3SE +/- 0.43, N = 3SE +/- 0.30, N = 15SE +/- 0.44, N = 3SE +/- 0.12, N = 3SE +/- 0.38, N = 3SE +/- 0.36, N = 3SE +/- 0.23, N = 3SE +/- 0.05, N = 3SE +/- 0.46, N = 3SE +/- 0.27, N = 3258.8747.9441.9441.9040.8138.3737.5837.3837.3237.0537.01

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 powersaveamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceamd_pstate schedutilamd_pstate ondemandacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilamd_pstate_epp performance performanceamd_pstate performance306090120150SE +/- 1.30, N = 9SE +/- 0.24, N = 13SE +/- 0.16, N = 13SE +/- 0.23, N = 14SE +/- 0.21, N = 15SE +/- 0.17, N = 14SE +/- 0.14, N = 13SE +/- 0.15, N = 13SE +/- 0.14, N = 13SE +/- 0.14, N = 15SE +/- 0.18, N = 10156.7830.8325.5225.3924.5223.4422.6522.6222.6122.5322.52

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigamd_pstate powersaveamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate ondemandamd_pstate_epp powersave balance_performanceacpi_cpufreq ondemandamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq schedutil2004006008001000SE +/- 2.74, N = 3SE +/- 0.62, N = 3SE +/- 1.59, N = 3SE +/- 1.27, N = 3SE +/- 0.78, N = 3SE +/- 0.85, N = 3SE +/- 0.72, N = 3SE +/- 0.71, N = 3SE +/- 0.74, N = 3SE +/- 0.76, N = 3SE +/- 0.77, N = 31094.37184.47182.77177.06176.50174.95173.64173.63172.88172.86172.61

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 powersaveamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate_epp powersave balance_performanceamd_pstate ondemandacpi_cpufreq ondemandacpi_cpufreq schedutilamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate performance160320480640800SE +/- 0.88, N = 3SE +/- 0.22, N = 3SE +/- 0.24, N = 3SE +/- 0.68, N = 3SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.23, N = 3SE +/- 0.19, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3752.99120.48113.13111.95109.81107.14106.47105.83105.54105.53104.93

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: Mediumamd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate ondemandamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq ondemand612182430SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 33.9712.2517.3321.2124.2824.5826.8926.9327.0127.0627.20

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super Fastamd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilamd_pstate ondemandacpi_cpufreq ondemandamd_pstate performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performance1122334455SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.58, N = 15SE +/- 0.28, N = 4SE +/- 0.25, N = 4SE +/- 0.33, N = 4SE +/- 0.30, N = 4SE +/- 0.18, N = 4SE +/- 0.16, N = 4SE +/- 0.22, N = 4SE +/- 0.28, N = 46.7725.4333.7939.9640.7141.5745.1945.4146.0746.2646.31

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra Fastamd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave poweracpi_cpufreq schedutilamd_pstate_epp powersave balance_performanceamd_pstate ondemandacpi_cpufreq ondemandamd_pstate performanceamd_pstate_epp performance performanceacpi_cpufreq performanceamd_pstate_epp performance balance_performance1122334455SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.67, N = 15SE +/- 0.18, N = 4SE +/- 0.43, N = 4SE +/- 0.19, N = 4SE +/- 0.30, N = 4SE +/- 0.49, N = 5SE +/- 0.28, N = 4SE +/- 0.21, N = 4SE +/- 0.33, N = 46.8821.6533.7640.8241.1341.9044.5045.4646.0846.4547.25

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 4Kamd_pstate powersaveamd_pstate schedutilamd_pstate_epp powersave poweramd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceamd_pstate performanceamd_pstate_epp performance balance_performanceacpi_cpufreq performanceacpi_cpufreq schedutil48121620SE +/- 0.01, N = 3SE +/- 0.04, N = 12SE +/- 0.14, N = 15SE +/- 0.10, N = 12SE +/- 0.12, N = 15SE +/- 0.12, N = 3SE +/- 0.41, N = 12SE +/- 0.26, N = 15SE +/- 0.27, N = 15SE +/- 0.20, N = 3SE +/- 0.01, N = 31.863.067.958.4710.7211.6312.8313.3213.3714.1714.361. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

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: Fastamd_pstate powersaveamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate_epp powersave balance_performanceamd_pstate ondemandacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate performanceamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq performance0.91131.82262.73393.64524.5565SE +/- 0.002, N = 3SE +/- 0.011, N = 3SE +/- 0.009, N = 3SE +/- 0.023, N = 3SE +/- 0.009, N = 3SE +/- 0.007, N = 3SE +/- 0.014, N = 3SE +/- 0.021, N = 3SE +/- 0.011, N = 3SE +/- 0.018, N = 3SE +/- 0.005, N = 30.5682.4713.1363.3593.6763.7673.9744.0214.0224.0234.0501. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 4K - Video Preset: Fasteramd_pstate powersaveamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate_epp powersave balance_performanceamd_pstate ondemandamd_pstate performanceacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate_epp performance performanceacpi_cpufreq ondemandamd_pstate_epp performance balance_performance246810SE +/- 0.008, N = 3SE +/- 0.018, N = 3SE +/- 0.049, N = 3SE +/- 0.045, N = 3SE +/- 0.030, N = 3SE +/- 0.084, N = 4SE +/- 0.075, N = 3SE +/- 0.068, N = 3SE +/- 0.083, N = 4SE +/- 0.043, N = 3SE +/- 0.075, N = 31.1574.7696.2306.3266.6467.3067.3207.3477.3527.3737.3971. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

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 4Kamd_pstate powersaveamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate_epp powersave balance_performanceamd_pstate ondemandacpi_cpufreq ondemandamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceacpi_cpufreq schedutilamd_pstate performanceacpi_cpufreq performance510152025SE +/- 0.01, N = 3SE +/- 0.18, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.17, N = 3SE +/- 0.16, N = 3SE +/- 0.18, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.23, N = 34.3715.3316.3618.5619.2919.9020.5520.6320.6720.7420.961. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 powersaveamd_pstate schedutilamd_pstate performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance performanceacpi_cpufreq ondemandamd_pstate_epp performance balance_performanceacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate_epp powersave poweramd_pstate ondemand120240360480600SE +/- 0.43, N = 3SE +/- 0.30, N = 3SE +/- 0.86, N = 3SE +/- 0.99, N = 3SE +/- 0.44, N = 3SE +/- 0.74, N = 3SE +/- 1.22, N = 3SE +/- 0.25, N = 3SE +/- 0.32, N = 3SE +/- 0.28, N = 3SE +/- 0.67, N = 3540.54267.54265.31264.91264.82264.80264.59263.63263.63263.30262.401. (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

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 powersaveamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceamd_pstate schedutilamd_pstate ondemandacpi_cpufreq schedutilamd_pstate_epp performance performanceacpi_cpufreq ondemandacpi_cpufreq performanceamd_pstate_epp performance balance_performanceamd_pstate performance48121620SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 5SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 31.9715.2016.0017.1017.2017.4017.5017.5017.5017.6017.601. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression Speedamd_pstate powersaveamd_pstate performanceamd_pstate schedutilacpi_cpufreq ondemandamd_pstate_epp powersave poweracpi_cpufreq schedutilacpi_cpufreq performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp performance balance_performanceamd_pstate ondemand30060090012001500SE +/- 0.03, N = 3SE +/- 28.63, N = 3SE +/- 1.88, N = 3SE +/- 1.32, N = 3SE +/- 2.19, N = 3SE +/- 2.01, N = 3SE +/- 0.97, N = 3SE +/- 6.13, N = 3SE +/- 3.84, N = 5SE +/- 4.93, N = 3SE +/- 5.25, N = 3146.11188.11261.81264.71269.81270.91272.81276.21278.31278.61280.51. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression Speedamd_pstate powersaveamd_pstate_epp powersave poweramd_pstate_epp powersave balance_performanceacpi_cpufreq performanceamd_pstate ondemandamd_pstate schedutilacpi_cpufreq ondemandamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceacpi_cpufreq schedutilamd_pstate performance3691215SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 31.068.728.919.129.139.209.219.269.289.299.311. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression Speedamd_pstate powersaveamd_pstate performanceamd_pstate ondemandamd_pstate_epp powersave poweramd_pstate schedutilamd_pstate_epp powersave balance_performanceacpi_cpufreq schedutilacpi_cpufreq ondemandamd_pstate_epp performance performanceamd_pstate_epp performance balance_performanceacpi_cpufreq performance30060090012001500SE +/- 0.15, N = 3SE +/- 18.37, N = 3SE +/- 11.54, N = 3SE +/- 20.88, N = 3SE +/- 1.07, N = 3SE +/- 1.23, N = 3SE +/- 9.03, N = 3SE +/- 11.09, N = 3SE +/- 5.97, N = 3SE +/- 7.42, N = 3SE +/- 7.61, N = 3140.11171.21178.01186.01191.51195.01203.21203.21203.31203.61209.11. (CC) gcc options: -O3 -pthread -lz -llzma

98 Results Shown

7-Zip Compression:
  Compression Rating
  Decompression Rating
Blender:
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
  Pabellon Barcelona - CPU-Only
BRL-CAD
ClickHouse:
  100M Rows Hits Dataset, First Run / Cold Cache
  100M Rows Hits Dataset, Second Run
  100M Rows Hits Dataset, Third Run
CockroachDB:
  MoVR - 512
  KV, 10% Reads - 512
  KV, 95% Reads - 512
Embree:
  Pathtracer ISPC - Crown
  Pathtracer ISPC - Asian Dragon
GROMACS
Kvazaar:
  Bosphorus 4K - Medium
  Bosphorus 4K - Super Fast
  Bosphorus 4K - Ultra Fast
NAMD
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
nginx
OpenFOAM:
  drivaerFastback, Medium Mesh Size - Mesh Time
  drivaerFastback, Medium Mesh Size - Execution Time
OpenVINO:
  Person Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
OpenVKL:
  vklBenchmark ISPC
  vklBenchmark Scalar
OSPRay Studio:
  1 - 4K - 1 - Path Tracer
  3 - 4K - 1 - Path Tracer
  1 - 4K - 32 - Path Tracer
  3 - 4K - 32 - Path Tracer
PHPBench
PostgreSQL:
  100 - 500 - Read Only
  100 - 500 - Read Only - Average Latency
  100 - 800 - Read Only
  100 - 800 - Read Only - Average Latency
  100 - 1000 - Read Only
  100 - 1000 - Read Only - Average Latency
  100 - 500 - Read Write
  100 - 500 - Read Write - Average Latency
  100 - 800 - Read Write
  100 - 800 - Read Write - Average Latency
  100 - 1000 - Read Write
  100 - 1000 - Read Write - Average Latency
PyBench
Stargate Digital Audio Workstation
SVT-AV1:
  Preset 4 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
  Preset 13 - Bosphorus 4K
TensorFlow:
  CPU - 256 - AlexNet
  CPU - 256 - GoogLeNet
Timed Gem5 Compilation
Timed Godot Game Engine Compilation
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Timed Node.js Compilation
uvg266:
  Bosphorus 4K - Medium
  Bosphorus 4K - Super Fast
  Bosphorus 4K - Ultra Fast
VP9 libvpx Encoding
VVenC:
  Bosphorus 4K - Fast
  Bosphorus 4K - Faster
x265
Xcompact3d Incompact3d
Zstd Compression:
  19 - Compression Speed
  19 - Decompression Speed
  19, Long Mode - Compression Speed
  19, Long Mode - Decompression Speed