AMD P-State Linux 6.3 Testing

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

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

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AMD P-State Linux 6.3 TestingOpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 7773X 64-Core @ 3.53GHz (128 Cores / 256 Threads)2 x AMD EPYC 7773X 64-Core @ 2.20GHz (128 Cores / 256 Threads)AMD DAYTONA_X (RYM1009B BIOS)AMD Starship/Matisse512GB800GB INTEL SSDPF21Q800GBASPEEDVE2282 x Mellanox MT27710Ubuntu 22.046.2.0-phx (x86_64)GNOME Shell 42.5X Server 1.21.1.31.3.224GCC 11.3.0 + LLVM 14.0.0ext41920x1080ProcessorsMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionAMD P-State Linux 6.3 Testing BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - amd_pstate_epp powersave balance_performance: Scaling Governor: amd_pstate_epp powersave (EPP: balance_performance) - CPU Microcode: 0xa001229 - amd_pstate_epp performance balance_performance: Scaling Governor: amd_pstate_epp performance (EPP: performance) - CPU Microcode: 0xa001229 - amd_pstate_epp powersave power: Scaling Governor: amd_pstate_epp powersave (EPP: power) - CPU Microcode: 0xa001229 - amd_pstate_epp performance performance: Scaling Governor: amd_pstate_epp performance (EPP: performance) - CPU Microcode: 0xa001229 - amd_pstate schedutil: Scaling Governor: amd-pstate schedutil (Boost: Enabled) - CPU Microcode: 0xa001229 - amd_pstate performance: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa001229 - amd_pstate powersave: Scaling Governor: amd-pstate powersave (Boost: Enabled) - CPU Microcode: 0xa001229 - amd_pstate ondemand: Scaling Governor: amd-pstate ondemand (Boost: Enabled) - CPU Microcode: 0xa001229 - acpi_cpufreq schedutil: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001229 - acpi_cpufreq ondemand: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa001229 - acpi_cpufreq performance: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001229 - Python 3.10.6- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

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

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

AMD P-State Linux 6.3 Testingtensorflow: CPU - 256 - GoogLeNetopenvkl: vklBenchmark Scalaropenvkl: vklBenchmark ISPCtensorflow: CPU - 256 - AlexNetbrl-cad: VGR Performance Metricpgbench: 100 - 500 - Read Write - Average Latencypgbench: 100 - 500 - Read Writeclickhouse: 100M Rows Hits Dataset, Third Runclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, First Run / Cold Cachepgbench: 100 - 800 - Read Write - Average Latencypgbench: 100 - 800 - Read Writecockroach: KV, 95% Reads - 512pgbench: 100 - 500 - Read Only - Average Latencypgbench: 100 - 500 - Read Onlyincompact3d: X3D-benchmarking input.i3dbuild-gem5: Time To Compilevpxenc: Speed 5 - Bosphorus 4Kbuild-linux-kernel: allmodconfigvvenc: Bosphorus 4K - Fastpgbench: 100 - 800 - Read Only - Average Latencypgbench: 100 - 800 - Read Onlystargate: 192000 - 1024pgbench: 100 - 1000 - Read Write - Average Latencypgbench: 100 - 1000 - Read Writeopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUpgbench: 100 - 1000 - Read Only - Average Latencypgbench: 100 - 1000 - Read Onlyblender: Barbershop - CPU-Onlycockroach: KV, 10% Reads - 512build-nodejs: Time To Compileospray-studio: 3 - 4K - 32 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 32 - Path Traceropenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUvvenc: Bosphorus 4K - Fasterbuild-linux-kernel: defconfigopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timecockroach: MoVR - 512nginx: 500openvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamcompress-zstd: 19, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speeddeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamcompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamcompress-zstd: 19 - Decompression Speedcompress-zstd: 19 - Compression Speeddeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUbuild-godot: Time To Compilesvt-av1: Preset 4 - Bosphorus 4Kblender: Pabellon Barcelona - CPU-Onlygromacs: MPI CPU - water_GMX50_bareopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUblender: Classroom - CPU-Onlyphpbench: PHP Benchmark Suitesvt-av1: Preset 12 - Bosphorus 4Kdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - 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-Streamx265: Bosphorus 4Kpybench: Total For Average Test Timesuvg266: Bosphorus 4K - Mediumembree: Pathtracer ISPC - Asian Dragonkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 4K - Super Fastuvg266: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 4K - Mediumuvg266: Bosphorus 4K - Super Fastblender: Fishy Cat - CPU-Onlynamd: ATPase Simulation - 327,506 Atomssvt-av1: Preset 13 - Bosphorus 4Kembree: Pathtracer ISPC - Crownamd_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 performance38.4136451487.75285398317.37228873372.98373.47355.1232.9612427575876.40.3901288550264.910481157.10211.63176.4953.3590.64112482662.05925945.509219783.5135205.470.8281207540141.7944725.5111.94941798130411013543817.493654.516.32625.521167.409116.05227641.8146738.1617.103738.04239.05267.15205.6828310.2961195.08.9168.9182926.20284030.0315.52587.7380108.1971716703500471869.215072.84511278.316.0868.075673.0239207.6114307.03851195.3553.0941.8983.45345.9911.07924.175291.4537.94687682175.455104.5730610.7001158.1292403.29176.9866830.096718.56100324.2892.206450.6747.9741.1329.4239.9619.170.22286170.265122.501440.1937451697.12290518114.63835610406.99409.86395.5329.8232683086214.80.3831306099264.590464149.76713.37172.8844.0220.64412417262.34807941.177242993.4535601.830.8271209033140.1850217.2105.52941650129911033557317.413670.787.39722.623170.71478114.86885761.0147764.2517.063748.17239.29266.96205.4179310.43301203.69.2868.7056929.78944015.9115.54587.8421108.1954726521522348868.871972.94971278.617.6867.927572.9379207.4377307.64201195.6053.0737.3214.15845.7211.17924.165294.9737.68697478186.048104.7553609.6137157.5501404.953476.9790830.013120.5599827.0194.784156.1454.6947.2531.9946.2618.800.22270194.103123.145831.6434647765.63286395117.48628682353.17349.30339.6833.1292417374380.00.3871292798263.300232173.2017.95184.4702.4710.64212459141.80123846.474215223.3236975.340.8151226429143.0443287.2120.48341532130311023524317.533645.604.76930.833169.24992116.28282570.5145614.7617.143730.66238.16268.24205.6999309.37881186.08.7268.5591931.60054033.6315.50587.7795108.1498661420459617868.924672.79521269.815.2867.019973.0501207.3328307.71291199.8752.9147.9352.44346.7311.13124.245277.0238.35671207155.770104.6604609.8987158.0751403.586077.0202829.603515.33100817.3393.727941.8345.5633.7620.6633.7919.740.22450145.323121.297040.3938551296.73298071915.52932286394.98407.73392.9529.0002759686477.30.3891286042264.824544148.50312.83172.8574.0230.64512404062.34644738.341260853.3836507.110.8151226743140.3649015.5105.82541686130211013521017.373679.317.35222.530167.81864116.19384763.4152654.8617.073744.85239.70266.56205.3031310.74481203.39.2668.5813931.58214005.0315.55587.6097108.1144733882514443868.261673.05611276.217.5866.981873.1372207.1853307.89201203.5252.7937.0114.18145.7511.07424.175291.0037.57700287173.314104.6233610.3155157.7002404.546476.9051830.324120.63101027.0693.501255.8554.7746.0832.3046.3118.950.22021188.423122.872926.6332746836.50283650427.74419298251.84254.40252.7966.3871239772179.60.796636088267.536092156.9453.06182.7683.1361.1467049290.81141881.192126133.5533751.581.411714980147.4641485.5113.13143705137611663697632.422062.046.23025.392182.43689127.85527195.9138510.0046.491416.77240.82265.31212.6277299.56801191.59.2071.1617897.63754262.2914.63605.6728104.8933699228394982895.127270.74991261.817.1893.428271.0074214.4729297.13871260.4950.3541.9403.32248.498.48225.435029.0540.0471112590.277108.6614587.4762164.2008388.639278.8686809.904816.3698712.2588.802226.5426.2121.6514.3925.4320.260.2342072.221116.753040.8937453497.50281535615.25732858406.41404.95394.3228.7152788082071.40.3811311837265.312622146.64413.32173.6364.0210.63012686882.36307040.155249043.3936428.760.8121230841140.3549340.4104.93441588130010983518617.373678.917.30622.519168.799116.10875766.8151325.0117.053749.69239.02267.30205.4057310.30041171.29.3168.6499930.49324030.7915.52586.8584108.4041746376530689867.899372.90791188.117.6866.959573.2692207.6741307.26691195.2353.0337.0534.18445.7711.05324.175292.0837.73701215182.358104.7278609.9637157.7992404.295076.9068830.851920.74101026.8993.605055.2753.7745.4632.0045.4118.890.22464191.046123.02488.747210216.5440561475.984668676.6675.8666.81146.572546516811.81.571318480540.5448811100.3631.861094.3740.5682.5223173600.301450201.101497324.555175.963.203312245933.4111461.4752.9863329506854867000291743315.26202.831.157156.783773.03283773.96684126.827774.70107.17596.041229.8651.521124.304656.6582140.11.06295.4918215.516724236.972.543485.212918.20481042871009704864.702812.9683146.11.974868.105713.00281143.055555.22457565.218.38258.8730.558297.672.167153.78830.31254.467957036.647577.7688109.7693884.291370.8684431.9597147.68804.3787753.9724.79177.727.436.884.836.77124.481.4098232.26519.668537.0336351475.69286374216.43632486310.66306.46297.7741.9881905675334.70.4901037703262.403117153.9038.47177.0633.6760.8159977421.35854955.954178753.4035501.211.069955977141.9145780.3109.81341897132211183544035.391915.376.64624.520167.90491119.63471574.8122126.5636.351960.30228.75279.33206.1379309.59581178.09.1368.5979931.20324103.6415.24589.6910107.4707739016485387876.496172.51951280.517.2876.332172.4101208.0910306.39941210.7652.4840.8123.86546.199.55024.485224.8337.85705341171.877105.1513607.3304158.9464401.731376.5661834.463819.29100424.5892.800452.6052.1741.9030.3241.5719.180.22289161.778121.857639.2437653179.36302117117.90928016352.85362.27351.2133.7232374379962.20.3891291471263.625285149.22214.36172.6063.7670.63612580662.34611244.364225673.4136248.380.8081237871140.5547827.0106.46642130130611033550517.443663.487.34722.610166.47566116.43538438.2146083.1617.093741.06239.94266.14205.4931310.09401203.29.2968.5451932.00274054.3015.41587.7789108.1330748549475861868.815773.10261270.917.4866.622373.0290207.2711307.71651195.7653.0637.5764.01345.9511.17324.175292.4237.61698785167.611104.7469609.7624157.8251404.273077.0980828.896620.6799921.2193.761552.9352.3240.8222.9740.7118.900.22025144.342122.705540.0035752494.62281426917.19429347357.94357.63351.3934.0592349381782.30.4451124224264.797139152.99010.72174.9463.9740.74510745002.32677044.891222793.4435666.690.9241082794141.9849459.9107.14342264132211203562817.653621.587.37323.440168.99869120.10383698.0149876.5217.333689.97241.17264.82206.4473308.67651203.29.2168.7068929.79104041.3115.44588.6134107.8991740039507039872.891272.77291264.717.5872.065072.7821207.8753306.68221203.4252.7638.3654.09045.9210.85324.365250.1537.92708218180.332105.0236608.3023158.0475403.280677.0107829.174519.90100627.2092.953755.5854.7844.5032.3645.1919.000.22290180.343120.799840.4236752495.71292157215.18333019401.81410.46393.1529.5372709386045.20.3891285905263.627543147.00214.17173.6344.0500.64812348692.36707439.602252523.7232979.740.8321202637140.4549731.9105.54141859130611043540617.483655.417.32022.652164.04046115.75608765.2147285.7817.093741.35238.32268.04205.2817310.61451209.19.1268.7650928.53814032.1015.49587.3828108.1608742955528289869.187273.15921272.817.5867.829673.2510207.5798307.16581195.1453.1237.3844.18245.8511.12524.175291.8137.71699816180.860104.8041609.0422157.8814404.130477.0588828.816120.96100226.9391.372455.9255.0346.4532.0946.0719.010.22441189.131123.0519OpenBenchmarking.org

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: GoogLeNetacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power918273645SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 340.0040.4239.2437.0340.898.7426.6340.1940.3938.4131.64

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 Scalaracpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power80160240320400SE +/- 1.76, N = 3SE +/- 4.13, N = 9SE +/- 4.33, N = 3SE +/- 3.76, N = 3SE +/- 3.95, N = 9SE +/- 0.33, N = 3SE +/- 2.31, N = 3SE +/- 3.82, N = 5SE +/- 1.20, N = 3SE +/- 6.08, N = 6SE +/- 2.19, N = 335736737636337472327374385364346MIN: 75 / MAX: 1532MIN: 73 / MAX: 1729MIN: 75 / MAX: 1829MIN: 73 / MAX: 1686MIN: 74 / MAX: 1559MIN: 11 / MAX: 516MIN: 72 / MAX: 1129MIN: 75 / MAX: 1552MIN: 75 / MAX: 1589MIN: 71 / MAX: 1707MIN: 62 / MAX: 1800

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power120240360480600SE +/- 4.59, N = 8SE +/- 1.76, N = 3SE +/- 6.96, N = 3SE +/- 3.61, N = 3SE +/- 6.51, N = 4SE +/- 1.20, N = 3SE +/- 5.51, N = 3SE +/- 1.76, N = 3SE +/- 4.37, N = 3SE +/- 4.72, N = 7SE +/- 2.08, N = 3524524531514534102468516512514477MIN: 148 / MAX: 1602MIN: 149 / MAX: 1516MIN: 153 / MAX: 1787MIN: 149 / MAX: 1600MIN: 153 / MAX: 1522MIN: 24 / MAX: 400MIN: 146 / MAX: 1159MIN: 150 / MAX: 1507MIN: 151 / MAX: 1504MIN: 148 / MAX: 1583MIN: 107 / MAX: 1723

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: AlexNetacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power20406080100SE +/- 0.82, N = 9SE +/- 0.99, N = 3SE +/- 1.99, N = 9SE +/- 0.66, N = 3SE +/- 0.36, N = 3SE +/- 0.01, N = 3SE +/- 0.31, N = 3SE +/- 0.07, N = 3SE +/- 0.28, N = 3SE +/- 0.04, N = 3SE +/- 0.63, N = 694.6295.7179.3675.6997.5016.5436.5097.1296.7387.7565.63

BRL-CAD

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

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.34VGR Performance Metricacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power600K1200K1800K2400K3000K28142692921572302117128637422815356405614283650429051812980719285398328639511. (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

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latencyacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power20406080100SE +/- 0.46, N = 12SE +/- 0.23, N = 12SE +/- 0.30, N = 12SE +/- 1.31, N = 12SE +/- 0.22, N = 12SE +/- 2.49, N = 12SE +/- 2.25, N = 12SE +/- 0.71, N = 12SE +/- 0.24, N = 12SE +/- 0.28, N = 12SE +/- 0.28, N = 1217.1915.1817.9116.4415.2675.9827.7414.6415.5317.3717.491. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Writeacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power8K16K24K32K40KSE +/- 904.79, N = 12SE +/- 531.49, N = 12SE +/- 523.79, N = 12SE +/- 2388.98, N = 12SE +/- 539.21, N = 12SE +/- 295.83, N = 12SE +/- 1491.09, N = 12SE +/- 2742.94, N = 12SE +/- 524.88, N = 12SE +/- 508.85, N = 12SE +/- 497.87, N = 122934733019280163248632858668619298356103228628873286821. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

ClickHouse

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

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third Runacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power90180270360450SE +/- 2.12, N = 3SE +/- 1.10, N = 3SE +/- 1.95, N = 3SE +/- 0.84, N = 3SE +/- 2.49, N = 3SE +/- 0.60, N = 3SE +/- 2.60, N = 3SE +/- 1.36, N = 3SE +/- 3.27, N = 3SE +/- 3.70, N = 3SE +/- 2.43, N = 3357.94401.81352.85310.66406.4176.66251.84406.99394.98372.98353.17MIN: 56.71 / MAX: 2857.14MIN: 56.71 / MAX: 3333.33MIN: 50.59 / MAX: 3529.41MIN: 51.28 / MAX: 2222.22MIN: 52.77 / MAX: 3529.41MIN: 8.52 / MAX: 588.24MIN: 48.15 / MAX: 3157.89MIN: 53.29 / MAX: 3333.33MIN: 57.97 / MAX: 3529.41MIN: 54.1 / MAX: 4285.71MIN: 44.91 / MAX: 3000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second Runacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power90180270360450SE +/- 2.51, N = 3SE +/- 3.72, N = 3SE +/- 0.20, N = 3SE +/- 2.11, N = 3SE +/- 4.90, N = 3SE +/- 0.06, N = 3SE +/- 3.86, N = 3SE +/- 4.88, N = 3SE +/- 1.07, N = 3SE +/- 3.92, N = 3SE +/- 1.73, N = 3357.63410.46362.27306.46404.9575.86254.40409.86407.73373.47349.30MIN: 57.8 / MAX: 3529.41MIN: 58.42 / MAX: 4615.38MIN: 50.98 / MAX: 4615.38MIN: 50.98 / MAX: 2222.22MIN: 54.05 / MAX: 4285.71MIN: 47.85 / MAX: 4285.71MIN: 57.64 / MAX: 4285.71MIN: 56.66 / MAX: 4285.71MIN: 52.86 / MAX: 3750MIN: 45.25 / MAX: 4000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold Cacheacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power90180270360450SE +/- 3.45, N = 3SE +/- 3.06, N = 3SE +/- 1.22, N = 3SE +/- 0.46, N = 3SE +/- 0.63, N = 3SE +/- 0.36, N = 3SE +/- 2.12, N = 3SE +/- 4.76, N = 3SE +/- 2.11, N = 3SE +/- 1.39, N = 3SE +/- 0.77, N = 3351.39393.15351.21297.77394.3266.81252.79395.53392.95355.12339.68MIN: 47.54 / MAX: 2857.14MIN: 50.63 / MAX: 3750MIN: 49.63 / MAX: 4000MIN: 44.15 / MAX: 2068.97MIN: 48.47 / MAX: 3750MIN: 43.29 / MAX: 4000MIN: 48.98 / MAX: 4000MIN: 51.28 / MAX: 3750MIN: 43.45 / MAX: 4000MIN: 39.27 / MAX: 3157.89

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latencyacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power306090120150SE +/- 0.34, N = 3SE +/- 0.37, N = 3SE +/- 0.30, N = 12SE +/- 0.33, N = 3SE +/- 0.24, N = 12SE +/- 1.56, N = 12SE +/- 3.77, N = 9SE +/- 0.30, N = 3SE +/- 0.32, N = 4SE +/- 0.29, N = 3SE +/- 0.32, N = 1234.0629.5433.7241.9928.72146.5766.3929.8229.0032.9633.131. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 800 - Mode: Read Writeacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power6K12K18K24K30KSE +/- 234.54, N = 3SE +/- 343.31, N = 3SE +/- 213.86, N = 12SE +/- 148.91, N = 3SE +/- 225.23, N = 12SE +/- 60.47, N = 12SE +/- 766.72, N = 9SE +/- 272.14, N = 3SE +/- 307.60, N = 4SE +/- 216.59, N = 3SE +/- 233.05, N = 122349327093237431905627880546512397268302759624275241731. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

CockroachDB

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

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 512acpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power20K40K60K80K100KSE +/- 1583.45, N = 15SE +/- 373.82, N = 3SE +/- 1766.85, N = 15SE +/- 1169.53, N = 15SE +/- 1631.30, N = 15SE +/- 36.89, N = 3SE +/- 1298.96, N = 15SE +/- 262.84, N = 3SE +/- 465.83, N = 3SE +/- 1522.12, N = 15SE +/- 99.42, N = 381782.386045.279962.275334.782071.416811.872179.686214.886477.375876.474380.0

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latencyacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power0.35350.7071.06051.4141.7675SE +/- 0.006, N = 3SE +/- 0.005, N = 4SE +/- 0.009, N = 12SE +/- 0.020, N = 12SE +/- 0.001, N = 3SE +/- 0.016, N = 6SE +/- 0.025, N = 12SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.010, N = 11SE +/- 0.005, N = 30.4450.3890.3890.4900.3811.5710.7960.3830.3890.3900.3871. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Onlyacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power300K600K900K1200K1500KSE +/- 16168.04, N = 3SE +/- 16034.65, N = 4SE +/- 24805.29, N = 12SE +/- 38153.01, N = 12SE +/- 2192.30, N = 3SE +/- 3162.32, N = 6SE +/- 23969.59, N = 12SE +/- 10261.05, N = 3SE +/- 10272.10, N = 3SE +/- 28243.17, N = 11SE +/- 16514.38, N = 31124224128590512914711037703131183731848063608813060991286042128855012927981. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

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.i3dacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power120240360480600SE +/- 0.74, N = 3SE +/- 0.25, N = 3SE +/- 0.32, N = 3SE +/- 0.67, N = 3SE +/- 0.86, N = 3SE +/- 0.43, N = 3SE +/- 0.30, N = 3SE +/- 1.22, N = 3SE +/- 0.44, N = 3SE +/- 0.99, N = 3SE +/- 0.28, N = 3264.80263.63263.63262.40265.31540.54267.54264.59264.82264.91263.301. (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

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 Compileacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power2004006008001000SE +/- 1.68, N = 4SE +/- 0.41, N = 3SE +/- 1.73, N = 3SE +/- 1.36, N = 3SE +/- 0.56, N = 3SE +/- 13.66, N = 3SE +/- 1.72, N = 3SE +/- 1.78, N = 3SE +/- 0.95, N = 3SE +/- 1.30, N = 3SE +/- 1.51, N = 8152.99147.00149.22153.90146.641100.36156.95149.77148.50157.10173.20

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 4Kacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power48121620SE +/- 0.12, N = 15SE +/- 0.20, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 12SE +/- 0.26, N = 15SE +/- 0.01, N = 3SE +/- 0.04, N = 12SE +/- 0.27, N = 15SE +/- 0.41, N = 12SE +/- 0.12, N = 3SE +/- 0.14, N = 1510.7214.1714.368.4713.321.863.0613.3712.8311.637.951. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power2004006008001000SE +/- 0.85, N = 3SE +/- 0.71, N = 3SE +/- 0.77, N = 3SE +/- 1.27, N = 3SE +/- 0.72, N = 3SE +/- 2.74, N = 3SE +/- 1.59, N = 3SE +/- 0.74, N = 3SE +/- 0.76, N = 3SE +/- 0.78, N = 3SE +/- 0.62, N = 3174.95173.63172.61177.06173.641094.37182.77172.88172.86176.50184.47

VVenC

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 4K - Video Preset: Fastacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power0.91131.82262.73393.64524.5565SE +/- 0.014, N = 3SE +/- 0.005, N = 3SE +/- 0.007, N = 3SE +/- 0.009, N = 3SE +/- 0.021, N = 3SE +/- 0.002, N = 3SE +/- 0.009, N = 3SE +/- 0.011, N = 3SE +/- 0.018, N = 3SE +/- 0.023, N = 3SE +/- 0.011, N = 33.9744.0503.7673.6764.0210.5683.1364.0224.0233.3592.4711. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latencyacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power0.56751.1351.70252.272.8375SE +/- 0.008, N = 4SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.033, N = 12SE +/- 0.005, N = 3SE +/- 0.022, N = 8SE +/- 0.033, N = 12SE +/- 0.008, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 30.7450.6480.6360.8150.6302.5221.1460.6440.6450.6410.6421. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 800 - Mode: Read Onlyacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power300K600K900K1200K1500KSE +/- 11695.71, N = 4SE +/- 8479.39, N = 3SE +/- 716.94, N = 3SE +/- 36540.35, N = 12SE +/- 9347.57, N = 3SE +/- 2702.31, N = 8SE +/- 21438.85, N = 12SE +/- 15062.87, N = 3SE +/- 7684.39, N = 3SE +/- 8403.56, N = 3SE +/- 2388.78, N = 3107450012348691258066997742126868831736070492912417261240406124826612459141. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

Stargate Digital Audio Workstation

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

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024acpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power0.53261.06521.59782.13042.663SE +/- 0.003977, N = 3SE +/- 0.015239, N = 3SE +/- 0.001977, N = 3SE +/- 0.009049, N = 3SE +/- 0.008972, N = 3SE +/- 0.000425, N = 3SE +/- 0.011706, N = 12SE +/- 0.005634, N = 3SE +/- 0.031447, N = 3SE +/- 0.017556, N = 15SE +/- 0.042633, N = 122.3267702.3670742.3461121.3585492.3630700.3014500.8114182.3480792.3464472.0592591.8012381. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latencyacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power4080120160200SE +/- 0.32, N = 3SE +/- 0.11, N = 3SE +/- 0.45, N = 12SE +/- 0.57, N = 3SE +/- 0.10, N = 3SE +/- 1.19, N = 3SE +/- 4.17, N = 9SE +/- 0.30, N = 12SE +/- 0.31, N = 3SE +/- 0.45, N = 3SE +/- 0.48, N = 344.8939.6044.3655.9540.16201.1081.1941.1838.3445.5146.471. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 1000 - Mode: Read Writeacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power6K12K18K24K30KSE +/- 157.83, N = 3SE +/- 72.30, N = 3SE +/- 232.73, N = 12SE +/- 179.41, N = 3SE +/- 63.64, N = 3SE +/- 29.56, N = 3SE +/- 734.11, N = 9SE +/- 174.68, N = 12SE +/- 207.97, N = 3SE +/- 214.70, N = 3SE +/- 224.57, N = 32227925252225671787524904497312613242992608521978215221. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power612182430SE +/- 0.10, N = 15SE +/- 0.04, N = 5SE +/- 0.11, N = 15SE +/- 0.10, N = 12SE +/- 0.12, N = 12SE +/- 0.07, N = 3SE +/- 0.11, N = 12SE +/- 0.07, N = 12SE +/- 0.10, N = 15SE +/- 0.10, N = 15SE +/- 0.09, N = 153.443.723.413.403.3924.553.553.453.383.513.32MIN: 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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power8K16K24K32K40KSE +/- 1008.62, N = 15SE +/- 342.83, N = 5SE +/- 1216.09, N = 15SE +/- 946.71, N = 12SE +/- 1205.35, N = 12SE +/- 15.51, N = 3SE +/- 909.70, N = 12SE +/- 724.32, N = 12SE +/- 1139.15, N = 15SE +/- 1060.84, N = 15SE +/- 894.45, N = 1535666.6932979.7436248.3835501.2136428.765175.9633751.5835601.8336507.1135205.4736975.341. (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

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latencyacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power0.72071.44142.16212.88283.6035SE +/- 0.003, N = 3SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.048, N = 12SE +/- 0.009, N = 3SE +/- 0.018, N = 3SE +/- 0.040, N = 12SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 30.9240.8320.8081.0690.8123.2031.4110.8270.8150.8280.8151. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 1000 - Mode: Read Onlyacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power300K600K900K1200K1500KSE +/- 3711.22, N = 3SE +/- 9650.25, N = 3SE +/- 5317.94, N = 3SE +/- 40789.54, N = 12SE +/- 13365.19, N = 3SE +/- 1792.34, N = 3SE +/- 20475.53, N = 12SE +/- 7063.00, N = 3SE +/- 6415.45, N = 3SE +/- 5837.45, N = 3SE +/- 3162.21, N = 3108279412026371237871955977123084131224571498012090331226743120754012264291. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: CPU-Onlyacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power2004006008001000SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.28, N = 3SE +/- 0.24, N = 3SE +/- 0.10, N = 3SE +/- 0.78, N = 3SE +/- 0.32, N = 3SE +/- 0.14, N = 3SE +/- 0.20, N = 3SE +/- 0.14, N = 3SE +/- 0.33, N = 3141.98140.45140.55141.91140.35933.41147.46140.18140.36141.79143.04

CockroachDB

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

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 512acpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power11K22K33K44K55KSE +/- 590.54, N = 4SE +/- 577.32, N = 3SE +/- 524.19, N = 15SE +/- 457.69, N = 6SE +/- 526.94, N = 3SE +/- 162.55, N = 3SE +/- 410.53, N = 15SE +/- 504.99, N = 3SE +/- 207.31, N = 3SE +/- 451.19, N = 3SE +/- 530.33, N = 449459.949731.947827.045780.349340.411461.441485.550217.249015.544725.543287.2

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 Compileacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power160320480640800SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.23, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.88, N = 3SE +/- 0.24, N = 3SE +/- 0.15, N = 3SE +/- 0.19, N = 3SE +/- 0.68, N = 3SE +/- 0.22, N = 3107.14105.54106.47109.81104.93752.99113.13105.53105.83111.95120.48

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Traceracpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power70K140K210K280K350KSE +/- 28.29, N = 3SE +/- 98.82, N = 3SE +/- 70.48, N = 3SE +/- 85.87, N = 3SE +/- 83.21, N = 3SE +/- 671.47, N = 3SE +/- 7.42, N = 3SE +/- 58.85, N = 3SE +/- 36.04, N = 3SE +/- 62.74, N = 3SE +/- 90.34, N = 3422644185942130418974158833295043705416504168641798415321. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Traceracpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power15K30K45K60K75KSE +/- 2.19, N = 3SE +/- 1.45, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 1.45, N = 3SE +/- 831.01, N = 12SE +/- 1.15, N = 3SE +/- 2.03, N = 3SE +/- 2.08, N = 3SE +/- 0.58, N = 3SE +/- 0.88, N = 31322130613061322130068548137612991302130413031. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Traceracpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power14K28K42K56K70KSE +/- 1.20, N = 3SE +/- 1.00, N = 3SE +/- 2.85, N = 3SE +/- 2.03, N = 3SE +/- 1.15, N = 3SE +/- 875.42, N = 12SE +/- 0.88, N = 3SE +/- 1.33, N = 3SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 0.67, N = 31120110411031118109867000116611031101110111021. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Traceracpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power60K120K180K240K300KSE +/- 25.51, N = 3SE +/- 117.33, N = 3SE +/- 88.76, N = 3SE +/- 52.33, N = 3SE +/- 23.07, N = 3SE +/- 829.19, N = 3SE +/- 66.07, N = 3SE +/- 76.22, N = 3SE +/- 31.26, N = 3SE +/- 29.34, N = 3SE +/- 69.50, N = 3356283540635505354403518629174336976355733521035438352431. (CXX) g++ options: -O3 -lm -ldl

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power70140210280350SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 2.27, N = 12SE +/- 0.02, N = 3SE +/- 2.16, N = 15SE +/- 1.86, N = 15SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 317.6517.4817.4435.3917.37315.2632.4217.4117.3717.4917.53MIN: 86.78 / MAX: 701.541. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power8001600240032004000SE +/- 13.56, N = 3SE +/- 4.78, N = 3SE +/- 6.58, N = 3SE +/- 155.56, N = 12SE +/- 4.65, N = 3SE +/- 1.43, N = 15SE +/- 113.70, N = 15SE +/- 6.01, N = 3SE +/- 3.54, N = 3SE +/- 3.07, N = 3SE +/- 8.08, N = 33621.583655.413663.481915.373678.91202.832062.043670.783679.313654.513645.601. (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

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: Fasteracpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power246810SE +/- 0.043, N = 3SE +/- 0.075, N = 3SE +/- 0.068, N = 3SE +/- 0.030, N = 3SE +/- 0.084, N = 4SE +/- 0.008, N = 3SE +/- 0.049, N = 3SE +/- 0.075, N = 3SE +/- 0.083, N = 4SE +/- 0.045, N = 3SE +/- 0.018, N = 37.3737.3207.3476.6467.3061.1576.2307.3977.3526.3264.7691. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

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: defconfigacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power306090120150SE +/- 0.17, N = 14SE +/- 0.14, N = 13SE +/- 0.14, N = 13SE +/- 0.21, N = 15SE +/- 0.18, N = 10SE +/- 1.30, N = 9SE +/- 0.23, N = 14SE +/- 0.15, N = 13SE +/- 0.14, N = 15SE +/- 0.16, N = 13SE +/- 0.24, N = 1323.4422.6522.6124.5222.52156.7825.3922.6222.5325.5230.83

OpenFOAM

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution Timeacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power170340510680850169.00164.04166.48167.90168.80773.03182.44170.71167.82167.41169.251. (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 - Mesh Timeacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power170340510680850120.10115.76116.44119.63116.11773.97127.86114.87116.19116.05116.281. (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

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: 512acpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power170340510680850SE +/- 3.24, N = 3SE +/- 3.30, N = 3SE +/- 0.92, N = 3SE +/- 4.45, N = 3SE +/- 1.79, N = 3SE +/- 0.42, N = 3SE +/- 2.51, N = 15SE +/- 1.59, N = 3SE +/- 2.65, N = 3SE +/- 2.27, N = 3SE +/- 1.71, N = 3698.0765.2438.2574.8766.8126.8195.9761.0763.4641.8570.5

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: 500acpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power30K60K90K120K150KSE +/- 977.04, N = 3SE +/- 693.20, N = 3SE +/- 1781.93, N = 4SE +/- 208.90, N = 3SE +/- 684.93, N = 3SE +/- 131.35, N = 3SE +/- 115.95, N = 3SE +/- 1361.88, N = 3SE +/- 2024.19, N = 3SE +/- 1575.56, N = 5SE +/- 1620.42, N = 5149876.52147285.78146083.16122126.56151325.0127774.70138510.00147764.25152654.86146738.16145614.761. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power20406080100SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 3.03, N = 15SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 2.29, N = 12SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 317.3317.0917.0936.3517.05107.1746.4917.0617.0717.1017.14MIN: 9.07 / MAX: 83.28MIN: 9.82 / MAX: 80.61MIN: 9.24 / MAX: 81.88MIN: 7.98 / MAX: 137.61MIN: 9.39 / MAX: 80.76MIN: 59.84 / MAX: 344.36MIN: 8.5 / MAX: 147.24MIN: 9.02 / MAX: 83.41MIN: 8.56 / MAX: 80.26MIN: 9.33 / MAX: 84.63MIN: 9.37 / MAX: 88.861. (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: CPUacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power8001600240032004000SE +/- 1.17, N = 3SE +/- 0.08, N = 3SE +/- 1.38, N = 3SE +/- 176.75, N = 15SE +/- 1.03, N = 3SE +/- 0.14, N = 3SE +/- 78.31, N = 12SE +/- 0.22, N = 3SE +/- 0.90, N = 3SE +/- 1.15, N = 3SE +/- 0.85, N = 33689.973741.353741.061960.303749.69596.041416.773748.173744.853738.043730.661. (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: CPUacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power30060090012001500SE +/- 1.01, N = 3SE +/- 0.97, N = 3SE +/- 1.21, N = 3SE +/- 0.15, N = 3SE +/- 0.54, N = 3SE +/- 7.94, N = 15SE +/- 0.48, N = 3SE +/- 1.09, N = 3SE +/- 2.12, N = 3SE +/- 0.82, N = 3SE +/- 0.51, N = 3241.17238.32239.94228.75239.021229.86240.82239.29239.70239.05238.16MIN: 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: Machine Translation EN To DE FP16 - Device: CPUacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power60120180240300SE +/- 1.08, N = 3SE +/- 1.06, N = 3SE +/- 1.35, N = 3SE +/- 0.14, N = 3SE +/- 0.60, N = 3SE +/- 0.34, N = 15SE +/- 0.47, N = 3SE +/- 1.18, N = 3SE +/- 2.34, N = 3SE +/- 1.00, N = 3SE +/- 0.60, N = 3264.82268.04266.14279.33267.3051.52265.31266.96266.56267.15268.241. (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

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.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power2004006008001000SE +/- 0.31, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.25, N = 3SE +/- 0.01, N = 3SE +/- 1.11, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3206.45205.28205.49206.14205.411124.30212.63205.42205.30205.68205.70

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power70140210280350SE +/- 0.62, N = 3SE +/- 0.30, N = 3SE +/- 0.24, N = 3SE +/- 0.48, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.24, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.30, N = 3SE +/- 0.37, N = 3308.68310.61310.09309.60310.3056.66299.57310.43310.74310.30309.38

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression Speedacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power30060090012001500SE +/- 11.09, N = 3SE +/- 7.61, N = 3SE +/- 9.03, N = 3SE +/- 11.54, N = 3SE +/- 18.37, N = 3SE +/- 0.15, N = 3SE +/- 1.07, N = 3SE +/- 7.42, N = 3SE +/- 5.97, N = 3SE +/- 1.23, N = 3SE +/- 20.88, N = 31203.21209.11203.21178.01171.2140.11191.51203.61203.31195.01186.01. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression Speedacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power3691215SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.00, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 39.219.129.299.139.311.069.209.289.268.918.721. (CC) gcc options: -O3 -pthread -lz -llzma

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.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power60120180240300SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.10, N = 3SE +/- 0.28, N = 3SE +/- 0.05, N = 368.7168.7768.5568.6068.65295.4971.1668.7168.5868.9268.56

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power2004006008001000SE +/- 1.23, N = 3SE +/- 1.66, N = 3SE +/- 0.68, N = 3SE +/- 0.27, N = 3SE +/- 1.11, N = 3SE +/- 0.06, N = 3SE +/- 0.59, N = 3SE +/- 2.48, N = 3SE +/- 1.42, N = 3SE +/- 3.90, N = 3SE +/- 0.75, N = 3929.79928.54932.00931.20930.49215.52897.64929.79931.58926.20931.60

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power5K10K15K20K25KSE +/- 2.84, N = 3SE +/- 4.16, N = 3SE +/- 5.84, N = 3SE +/- 15.80, N = 3SE +/- 4.79, N = 3SE +/- 217.31, N = 3SE +/- 8.81, N = 3SE +/- 8.61, N = 3SE +/- 9.11, N = 3SE +/- 4.72, N = 3SE +/- 6.67, N = 34041.314032.104054.304103.644030.7924236.974262.294015.914005.034030.034033.63MIN: 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: Person Detection FP16 - Device: CPUacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power48121620SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 315.4415.4915.4115.2415.522.5414.6315.5415.5515.5215.501. (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

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.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power7001400210028003500SE +/- 0.20, N = 3SE +/- 0.22, N = 3SE +/- 0.24, N = 3SE +/- 0.30, N = 3SE +/- 0.41, N = 3SE +/- 0.92, N = 3SE +/- 0.38, N = 3SE +/- 0.13, N = 3SE +/- 0.23, N = 3SE +/- 0.37, N = 3SE +/- 0.15, N = 3588.61587.38587.78589.69586.863485.21605.67587.84587.61587.74587.78

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power20406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.18, N = 3SE +/- 0.20, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3107.90108.16108.13107.47108.4018.20104.89108.20108.11108.20108.15

7-Zip Compression

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

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Ratingacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power160K320K480K640K800KSE +/- 1725.95, N = 3SE +/- 2437.88, N = 6SE +/- 156.12, N = 3SE +/- 1773.36, N = 3SE +/- 2158.20, N = 3SE +/- 136.02, N = 3SE +/- 2716.47, N = 7SE +/- 18690.79, N = 3SE +/- 10875.45, N = 4SE +/- 858.55, N = 3SE +/- 5960.12, N = 37400397429557485497390167463761042876992287265217338827167036614201. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Ratingacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power110K220K330K440K550KSE +/- 6757.49, N = 3SE +/- 5372.93, N = 6SE +/- 3716.48, N = 3SE +/- 2092.51, N = 3SE +/- 6313.35, N = 3SE +/- 1055.88, N = 3SE +/- 3670.50, N = 7SE +/- 5053.05, N = 3SE +/- 5870.22, N = 4SE +/- 480.40, N = 3SE +/- 3758.30, N = 35070395282894758614853875306891009703949825223485144435004714596171. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power10002000300040005000SE +/- 0.08, N = 3SE +/- 0.34, N = 3SE +/- 0.13, N = 3SE +/- 0.23, N = 3SE +/- 0.55, N = 3SE +/- 3.96, N = 3SE +/- 0.52, N = 3SE +/- 0.32, N = 3SE +/- 0.36, N = 3SE +/- 0.37, N = 3SE +/- 0.34, N = 3872.89869.19868.82876.50867.904864.70895.13868.87868.26869.22868.92

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power1632486480SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 372.7773.1673.1072.5272.9112.9770.7572.9573.0672.8572.80

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 - Decompression Speedacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power30060090012001500SE +/- 1.32, N = 3SE +/- 0.97, N = 3SE +/- 2.01, N = 3SE +/- 5.25, N = 3SE +/- 28.63, N = 3SE +/- 0.03, N = 3SE +/- 1.88, N = 3SE +/- 4.93, N = 3SE +/- 6.13, N = 3SE +/- 3.84, N = 5SE +/- 2.19, N = 31264.71272.81270.91280.51188.1146.11261.81278.61276.21278.31269.81. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression Speedacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power48121620SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.16, N = 5SE +/- 0.03, N = 317.5017.5017.4017.2017.601.9717.1017.6017.5016.0015.201. (CC) gcc options: -O3 -pthread -lz -llzma

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.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power10002000300040005000SE +/- 0.15, N = 3SE +/- 0.69, N = 3SE +/- 0.11, N = 3SE +/- 0.56, N = 3SE +/- 0.10, N = 3SE +/- 2.96, N = 3SE +/- 0.79, N = 3SE +/- 0.23, N = 3SE +/- 0.76, N = 3SE +/- 0.33, N = 3SE +/- 0.24, N = 3872.07867.83866.62876.33866.964868.11893.43867.93866.98868.08867.02

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power1632486480SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 372.7873.2573.0372.4173.2713.0071.0172.9473.1473.0273.05

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power2004006008001000SE +/- 0.26, N = 3SE +/- 0.28, N = 3SE +/- 0.52, N = 3SE +/- 0.15, N = 3SE +/- 0.30, N = 3SE +/- 0.96, N = 3SE +/- 0.54, N = 3SE +/- 0.48, N = 3SE +/- 0.11, N = 3SE +/- 0.29, N = 3SE +/- 0.11, N = 3207.88207.58207.27208.09207.671143.06214.47207.44207.19207.61207.33

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power70140210280350SE +/- 0.60, N = 3SE +/- 0.69, N = 3SE +/- 0.63, N = 3SE +/- 0.22, N = 3SE +/- 0.44, N = 3SE +/- 0.07, N = 3SE +/- 0.78, N = 3SE +/- 0.82, N = 3SE +/- 0.09, N = 3SE +/- 0.63, N = 3SE +/- 0.25, N = 3306.68307.17307.72306.40307.2755.22297.14307.64307.89307.04307.71

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power16003200480064008000SE +/- 0.25, N = 3SE +/- 0.38, N = 3SE +/- 1.11, N = 3SE +/- 0.24, N = 3SE +/- 0.68, N = 3SE +/- 16.67, N = 3SE +/- 0.52, N = 3SE +/- 0.45, N = 3SE +/- 8.32, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 31203.421195.141195.761210.761195.237565.211260.491195.601203.521195.351199.87MIN: 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: Face Detection FP16-INT8 - Device: CPUacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power1224364860SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.35, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 352.7653.1253.0652.4853.038.3850.3553.0752.7953.0952.911. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

Timed 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 Compileacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power60120180240300SE +/- 0.38, N = 3SE +/- 0.23, N = 3SE +/- 0.36, N = 3SE +/- 0.12, N = 3SE +/- 0.46, N = 3SE +/- 1.50, N = 3SE +/- 0.30, N = 15SE +/- 0.05, N = 3SE +/- 0.27, N = 3SE +/- 0.44, N = 3SE +/- 0.43, N = 338.3737.3837.5840.8137.05258.8741.9437.3237.0141.9047.94

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 4Kacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power0.94141.88282.82423.76564.707SE +/- 0.025, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.020, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.022, N = 3SE +/- 0.008, N = 3SE +/- 0.016, N = 3SE +/- 0.013, N = 3SE +/- 0.007, N = 34.0904.1824.0133.8654.1840.5583.3224.1584.1813.4532.4431. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: Pabellon Barcelona - Compute: CPU-Onlyacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power60120180240300SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.29, N = 3SE +/- 0.02, N = 3SE +/- 0.71, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.42, N = 345.9245.8545.9546.1945.77297.6748.4945.7245.7545.9946.73

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_bareacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power3691215SE +/- 0.125, N = 15SE +/- 0.018, N = 3SE +/- 0.046, N = 3SE +/- 0.448, N = 15SE +/- 0.036, N = 3SE +/- 0.004, N = 3SE +/- 0.601, N = 12SE +/- 0.057, N = 3SE +/- 0.065, N = 3SE +/- 0.032, N = 3SE +/- 0.019, N = 310.85311.12511.1739.55011.0532.1678.48211.17911.07411.07911.1311. (CXX) g++ options: -O3

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power306090120150SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 324.3624.1724.1724.4824.17153.7825.4324.1624.1724.1724.24MIN: 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: Weld Porosity Detection FP16-INT8 - Device: CPUacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power11002200330044005500SE +/- 0.47, N = 3SE +/- 0.80, N = 3SE +/- 0.71, N = 3SE +/- 1.03, N = 3SE +/- 2.23, N = 3SE +/- 0.10, N = 3SE +/- 0.59, N = 3SE +/- 1.37, N = 3SE +/- 0.41, N = 3SE +/- 0.95, N = 3SE +/- 1.46, N = 35250.155291.815292.425224.835292.08830.315029.055294.975291.005291.455277.021. (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

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-Onlyacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power60120180240300SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 337.9237.7137.6137.8537.73254.4640.0437.6837.5737.9438.35

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 Suiteacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power150K300K450K600K750KSE +/- 5594.67, N = 3SE +/- 4034.04, N = 3SE +/- 2191.80, N = 3SE +/- 5843.40, N = 3SE +/- 3225.60, N = 3SE +/- 423.55, N = 3SE +/- 5021.57, N = 3SE +/- 5808.55, N = 12SE +/- 4455.74, N = 3SE +/- 2423.31, N = 3SE +/- 981.48, N = 370821869981669878570534170121579570711125697478700287687682671207

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 12 - Input: Bosphorus 4Kacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power4080120160200SE +/- 3.33, N = 15SE +/- 3.08, N = 15SE +/- 2.84, N = 15SE +/- 2.56, N = 15SE +/- 3.27, N = 15SE +/- 0.49, N = 12SE +/- 1.29, N = 15SE +/- 3.08, N = 15SE +/- 2.85, N = 15SE +/- 2.85, N = 15SE +/- 1.61, N = 15180.33180.86167.61171.88182.3636.6590.28186.05173.31175.46155.771. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power120240360480600SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.20, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.31, N = 3SE +/- 0.25, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3105.02104.80104.75105.15104.73577.77108.66104.76104.62104.57104.66

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power130260390520650SE +/- 0.14, N = 3SE +/- 0.68, N = 3SE +/- 1.19, N = 3SE +/- 0.13, N = 3SE +/- 0.82, N = 3SE +/- 0.09, N = 3SE +/- 1.22, N = 3SE +/- 0.26, N = 3SE +/- 0.35, N = 3SE +/- 0.85, N = 3SE +/- 0.24, N = 3608.30609.04609.76607.33609.96109.77587.48609.61610.32610.70609.90

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power2004006008001000SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.18, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 1.48, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3158.05157.88157.83158.95157.80884.29164.20157.55157.70158.13158.08

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power90180270360450SE +/- 0.36, N = 3SE +/- 0.15, N = 3SE +/- 0.60, N = 3SE +/- 0.34, N = 3SE +/- 0.37, N = 3SE +/- 0.15, N = 3SE +/- 0.49, N = 3SE +/- 0.15, N = 3SE +/- 0.32, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 3403.28404.13404.27401.73404.3070.87388.64404.95404.55403.29403.59

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power90180270360450SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 377.0177.0677.1076.5776.91431.9678.8776.9876.9176.9977.02

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power2004006008001000SE +/- 1.55, N = 3SE +/- 0.63, N = 3SE +/- 0.64, N = 3SE +/- 1.55, N = 3SE +/- 1.41, N = 3SE +/- 0.17, N = 3SE +/- 0.84, N = 3SE +/- 1.68, N = 3SE +/- 1.26, N = 3SE +/- 1.36, N = 3SE +/- 1.08, N = 3829.17828.82828.90834.46830.85147.69809.90830.01830.32830.10829.60

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4Kacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power510152025SE +/- 0.17, N = 3SE +/- 0.23, N = 3SE +/- 0.16, N = 3SE +/- 0.19, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.18, N = 319.9020.9620.6719.2920.744.3716.3620.5520.6318.5615.331. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 Timesacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power2K4K6K8K10KSE +/- 9.13, N = 3SE +/- 5.81, N = 3SE +/- 7.81, N = 3SE +/- 5.81, N = 3SE +/- 3.28, N = 3SE +/- 41.93, N = 3SE +/- 2.85, N = 3SE +/- 6.01, N = 3SE +/- 4.04, N = 3SE +/- 0.88, N = 3SE +/- 7.22, N = 310061002999100410108775987998101010031008

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: Mediumacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power612182430SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 327.2026.9321.2124.5826.893.9712.2527.0127.0624.2817.33

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: Asian Dragonacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power20406080100SE +/- 0.85, N = 6SE +/- 0.72, N = 15SE +/- 0.79, N = 6SE +/- 1.15, N = 15SE +/- 0.98, N = 15SE +/- 0.02, N = 3SE +/- 0.79, N = 15SE +/- 0.87, N = 15SE +/- 0.93, N = 15SE +/- 0.79, N = 15SE +/- 0.91, N = 1592.9591.3793.7692.8093.6124.7988.8094.7893.5092.2193.73MIN: 88.86 / MAX: 98.52MIN: 86.16 / MAX: 99.08MIN: 88.79 / MAX: 100.41MIN: 85.44 / MAX: 101.26MIN: 86.72 / MAX: 102.65MIN: 24.19 / MAX: 25.44MIN: 82.24 / MAX: 97.26MIN: 86.18 / MAX: 101.48MIN: 87.15 / MAX: 102.17MIN: 87.15 / MAX: 100.61MIN: 86.21 / MAX: 102.02

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: Ultra Fastacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power1326395265SE +/- 0.48, N = 5SE +/- 0.48, N = 5SE +/- 0.44, N = 5SE +/- 0.50, N = 4SE +/- 0.11, N = 5SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.40, N = 5SE +/- 0.46, N = 5SE +/- 0.70, N = 15SE +/- 1.47, N = 1555.5855.9252.9352.6055.277.7226.5456.1455.8550.6741.831. (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 Fastacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power1224364860SE +/- 0.50, N = 5SE +/- 0.52, N = 5SE +/- 0.20, N = 4SE +/- 0.26, N = 4SE +/- 0.51, N = 5SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.60, N = 5SE +/- 0.44, N = 5SE +/- 0.60, N = 15SE +/- 1.49, N = 1554.7855.0352.3252.1753.777.4326.2154.6954.7747.9745.561. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

uvg266

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

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra Fastacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power1122334455SE +/- 0.30, N = 4SE +/- 0.21, N = 4SE +/- 0.18, N = 4SE +/- 0.19, N = 4SE +/- 0.49, N = 5SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.33, N = 4SE +/- 0.28, N = 4SE +/- 0.43, N = 4SE +/- 0.67, N = 1544.5046.4540.8241.9045.466.8821.6547.2546.0841.1333.76

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Mediumacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power816243240SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 332.3632.0922.9730.3232.004.8314.3931.9932.3029.4220.661. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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: Super Fastacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power1122334455SE +/- 0.30, N = 4SE +/- 0.16, N = 4SE +/- 0.25, N = 4SE +/- 0.33, N = 4SE +/- 0.18, N = 4SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.22, N = 4SE +/- 0.28, N = 4SE +/- 0.28, N = 4SE +/- 0.58, N = 1545.1946.0740.7141.5745.416.7725.4346.2646.3139.9633.79

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: Fishy Cat - Compute: CPU-Onlyacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power306090120150SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 319.0019.0118.9019.1818.89124.4820.2618.8018.9519.1719.74

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 Atomsacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power0.31720.63440.95161.26881.586SE +/- 0.00142, N = 3SE +/- 0.00089, N = 4SE +/- 0.00170, N = 3SE +/- 0.00244, N = 3SE +/- 0.00077, N = 4SE +/- 0.00490, N = 3SE +/- 0.00054, N = 3SE +/- 0.00158, N = 4SE +/- 0.00124, N = 4SE +/- 0.00272, N = 3SE +/- 0.00042, N = 30.222900.224410.220250.222890.224641.409820.234200.222700.220210.222860.22450

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4Kacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power4080120160200SE +/- 1.37, N = 10SE +/- 2.47, N = 15SE +/- 1.54, N = 15SE +/- 1.52, N = 7SE +/- 1.88, N = 15SE +/- 0.14, N = 3SE +/- 0.85, N = 15SE +/- 1.60, N = 7SE +/- 2.12, N = 15SE +/- 1.23, N = 12SE +/- 1.22, N = 6180.34189.13144.34161.78191.0532.2772.22194.10188.42170.27145.321. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: Crownacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power306090120150SE +/- 0.33, N = 7SE +/- 0.13, N = 7SE +/- 0.15, N = 7SE +/- 0.24, N = 7SE +/- 0.14, N = 7SE +/- 0.02, N = 3SE +/- 0.22, N = 7SE +/- 0.11, N = 7SE +/- 0.18, N = 7SE +/- 0.25, N = 7SE +/- 0.21, N = 6120.80123.05122.71121.86123.0219.67116.75123.15122.87122.50121.30MIN: 116.78 / MAX: 132.34MIN: 119.92 / MAX: 135.17MIN: 119.75 / MAX: 131.8MIN: 117.58 / MAX: 131.5MIN: 120.25 / MAX: 132.77MIN: 112.31 / MAX: 126.6MIN: 120.42 / MAX: 134.1MIN: 119.52 / MAX: 133.96MIN: 118.44 / MAX: 132.08MIN: 107.62 / MAX: 132.2

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System Monitoringacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power1632486480Min: 40.5 / Avg: 65.4 / Max: 87Min: 40 / Avg: 65.66 / Max: 84.25Min: 46.25 / Avg: 65.29 / Max: 82.75Min: 44.5 / Avg: 65.79 / Max: 83.25Min: 46.25 / Avg: 65.58 / Max: 80Min: 50.25 / Avg: 61.86 / Max: 70.5Min: 47.75 / Avg: 64.32 / Max: 81Min: 48.5 / Avg: 65.36 / Max: 82.25Min: 40.75 / Avg: 65.28 / Max: 83.25Min: 38.5 / Avg: 65.62 / Max: 83Min: 47.75 / Avg: 65.06 / Max: 83.25

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System Monitoringacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power100200300400500Min: 37.97 / Avg: 324.21 / Max: 589.51Min: 37.49 / Avg: 331.38 / Max: 585.26Min: 37.47 / Avg: 313.83 / Max: 584.92Min: 59.55 / Avg: 323.61 / Max: 584.84Min: 38.16 / Avg: 328.3 / Max: 585.77Min: 43.27 / Avg: 163.3 / Max: 275.2Min: 41.58 / Avg: 286.48 / Max: 590.97Min: 38.35 / Avg: 322.01 / Max: 585.48Min: 37.48 / Avg: 326.31 / Max: 589.17Min: 38.21 / Avg: 307.63 / Max: 589.22Min: 38.01 / Avg: 278.01 / Max: 587.2

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System Monitoringacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power14002800420056007000Min: 1500 / Avg: 3081.4 / Max: 4651Min: 2105 / Avg: 3089.85 / Max: 8005Min: 1500 / Avg: 3076.06 / Max: 3930Min: 1151 / Avg: 3211.23 / Max: 3565Min: 2182 / Avg: 3318.56 / Max: 3531Min: 399 / Avg: 399.83 / Max: 476Min: 400 / Avg: 3002.54 / Max: 3557Min: 400 / Avg: 3054.07 / Max: 3753Min: 400 / Avg: 3040.97 / Max: 3526Min: 400 / Avg: 2841.73 / Max: 3527Min: 400 / Avg: 2616.26 / Max: 4167

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per Wattsacpi_cpufreq ondemandacpi_cpufreq performanceacpi_cpufreq schedutilamd_pstate ondemandamd_pstate performanceamd_pstate powersaveamd_pstate schedutilamd_pstate_epp performance balance_performanceamd_pstate_epp performance performanceamd_pstate_epp powersave balance_performanceamd_pstate_epp powersave power70140210280350315.89324.66301.21289.22322.5852.56207.36324.98323.56312.33261.49

102 Results Shown

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