eo 2022 benchmarks new cpus

Benchmarks for a future article on Phoronix.

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  Test
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7700
January 01 2023
  4 Hours, 5 Minutes
Ryzen 5 7600
January 05 2023
  4 Hours, 52 Minutes
Ryzen 7 7700
January 01 2023
  4 Hours, 7 Minutes
Ryzen 7600
January 05 2023
  4 Hours, 51 Minutes
Ryzen 7700
January 01 2023
  4 Hours, 6 Minutes
Ryzen 9 7900
December 28 2022
  3 Hours, 35 Minutes
Ryzen 9 7950X
December 27 2022
  3 Hours, 17 Minutes
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  4 Hours, 8 Minutes

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eo 2022 benchmarks new cpusProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950XAMD Ryzen 7 7700 8-Core @ 5.39GHz (8 Cores / 16 Threads)ASUS ROG CROSSHAIR X670E HERO (0805 BIOS)AMD Device 14d832GB2000GB Samsung SSD 980 PRO 2TB + 2000GBAMD Radeon RX 6800 XT 16GB (2575/1000MHz)AMD Navi 21 HDMI AudioASUS MG28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 22.046.0.0-060000rc1daily20220820-generic (x86_64)GNOME Shell 42.2X Server 1.21.1.3 + Wayland4.6 Mesa 22.3.0-devel (git-4685385 2022-08-23 jammy-oibaf-ppa) (LLVM 14.0.6 DRM 3.48)1.3.224GCC 12.0.1 20220319ext43840x2160AMD Ryzen 5 7600 6-Core @ 5.17GHz (6 Cores / 12 Threads)2000GB Samsung SSD 980 PRO 2TBAMD Ryzen 7 7700 8-Core @ 5.39GHz (8 Cores / 16 Threads)2000GB Samsung SSD 980 PRO 2TB + 2000GBAMD Ryzen 5 7600 6-Core @ 5.17GHz (6 Cores / 12 Threads)2000GB Samsung SSD 980 PRO 2TBAMD Ryzen 7 7700 8-Core @ 5.39GHz (8 Cores / 16 Threads)2000GB Samsung SSD 980 PRO 2TB + 2000GBAMD Ryzen 9 7900 12-Core @ 5.48GHz (12 Cores / 24 Threads)2000GB Samsung SSD 980 PRO 2TBAMD Radeon RX 6750 XT 12GB (2880/1124MHz)AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads)2000GB Samsung SSD 980 PRO 2TB + 257GB Flash DriveOpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-OcsLtf/gcc-12-12-20220319/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-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- 7700: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 5 7600: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 7 7700: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 7600: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 7700: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 9 7900: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 9 7950X: Scaling Governor: amd-pstate schedutil (Boost: Enabled) - CPU Microcode: 0xa601203Python Details- Python 3.10.4Security Details- 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

7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950XResult OverviewPhoronix Test Suite100%144%187%231%274%miniBUDEBlenderQuadRaynginxStargate Digital Audio WorkstationTimed Linux Kernel CompilationoneDNNOpenVKLXmrigOpenRadiosslibavif avifencOpenVINONeural Magic DeepSparseTensorFlowY-CruncherOpenFOAMspaCynekRSSVT-AV1CockroachDBJPEG XL Decoding libjxlJPEG XL libjxlEnCodec

eo 2022 benchmarks new cpusonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUstargate: 44100 - 1024quadray: 5 - 4Konednn: IP Shapes 3D - u8s8f32 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUminibude: OpenMP - BM1minibude: OpenMP - BM1quadray: 5 - 1080pblender: Barbershop - CPU-Onlyopenvino: Age Gender Recognition Retail 0013 FP16 - CPUblender: Pabellon Barcelona - CPU-Onlyopenvino: Face Detection FP16 - CPUquadray: 3 - 4Kblender: Fishy Cat - CPU-Onlyquadray: 2 - 4Kdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamquadray: 3 - 1080pquadray: 2 - 1080pdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamstargate: 96000 - 1024stargate: 44100 - 512onednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamstargate: 480000 - 512onednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUxmrig: Wownero - 1Mquadray: 1 - 4Kstargate: 192000 - 1024deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamstargate: 480000 - 1024onednn: Recurrent Neural Network Training - f32 - CPUquadray: 1 - 1080ponednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUopenvino: Person Detection FP32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUbuild-linux-kernel: allmodconfigonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUopenvino: Person Detection FP16 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamopenradioss: Rubber O-Ring Seal Installationnginx: 200nginx: 100openvino: Person Vehicle Bike Detection FP16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamnginx: 500onednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamonednn: IP Shapes 1D - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUopenvkl: vklBenchmark Scalarbuild-linux-kernel: defconfigopenvino: Machine Translation EN To DE FP16 - CPUspacy: en_core_web_trfcockroach: KV, 95% Reads - 1024openvkl: vklBenchmark ISPCavifenc: 6nginx: 1000openvino: Vehicle Detection FP16 - CPUdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamcockroach: KV, 95% Reads - 512cockroach: KV, 95% Reads - 256tensorflow: CPU - 64 - AlexNetopenradioss: INIVOL and Fluid Structure Interaction Drop Containercockroach: KV, 60% Reads - 1024avifenc: 0onednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUstargate: 96000 - 512openradioss: Bird Strike on Windshieldopenradioss: Cell Phone Drop Testcockroach: KV, 50% Reads - 1024deepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamxmrig: Monero - 1Mtensorflow: CPU - 32 - GoogLeNetdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamtensorflow: CPU - 64 - GoogLeNetavifenc: 6, Losslesssvt-av1: Preset 8 - Bosphorus 4Kavifenc: 2tensorflow: CPU - 16 - GoogLeNetdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamtensorflow: CPU - 32 - AlexNetonednn: Deconvolution Batch shapes_1d - f32 - CPUcockroach: KV, 10% Reads - 1024onednn: IP Shapes 3D - bf16bf16bf16 - CPUy-cruncher: 1Bopenfoam: drivaerFastback, Small Mesh Size - Execution Timestargate: 192000 - 512svt-av1: Preset 4 - Bosphorus 4Ky-cruncher: 500Mcockroach: KV, 95% Reads - 128svt-av1: Preset 8 - Bosphorus 1080ptensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 32 - ResNet-50onednn: IP Shapes 1D - u8s8f32 - CPUopenradioss: Bumper Beamopenfoam: drivaerFastback, Small Mesh Size - Mesh Timesvt-av1: Preset 12 - Bosphorus 4Kjpegxl-decode: Alltensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 16 - AlexNetcockroach: KV, 60% Reads - 512cockroach: KV, 50% Reads - 512svt-av1: Preset 13 - Bosphorus 4Knekrs: TurboPipe Periodiccockroach: KV, 10% Reads - 512svt-av1: Preset 13 - Bosphorus 1080pdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUsvt-av1: Preset 4 - Bosphorus 1080pdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamsvt-av1: Preset 12 - Bosphorus 1080popenvino: Person Detection FP32 - CPUavifenc: 10, Losslessnginx: 20openvino: Person Detection FP16 - CPUnginx: 4000openvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUjpegxl: JPEG - 100jpegxl: JPEG - 90jpegxl: PNG - 90jpegxl: JPEG - 80jpegxl: PNG - 80openvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUencodec: 24 kbpsdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamencodec: 6 kbpsdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamencodec: 1.5 kbpsjpegxl-decode: 1encodec: 3 kbpsdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamjpegxl: PNG - 100deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamcockroach: KV, 10% Reads - 128cockroach: KV, 50% Reads - 128cockroach: KV, 10% Reads - 256cockroach: KV, 50% Reads - 256spacy: en_core_web_lgcockroach: KV, 60% Reads - 128cockroach: MoVR - 512cockroach: MoVR - 128cockroach: MoVR - 1024cockroach: MoVR - 256cockroach: KV, 60% Reads - 256brl-cad: VGR Performance Metrickvazaar: Bosphorus 1080p - Very Fastuvg266: Bosphorus 4K - Very Fastuvg266: Bosphorus 1080p - Mediumuvg266: Bosphorus 1080p - Ultra Fastuvg266: Bosphorus 4K - Super Fastkvazaar: Bosphorus 1080p - Ultra Fastuvg266: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastuvg266: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Ultra Fastuvg266: Bosphorus 1080p - Very Fastuvg266: Bosphorus 1080p - Super Fastuvg266: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Super Fastkvazaar: Bosphorus 1080p - Super Fastkvazaar: Bosphorus 1080p - Slowuvg266: Bosphorus 4K - Slowsmhasher: wyhash7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X1.550374.2901690.910.958327687.651368.56878.7813.59104.24272.6712463.1427.208680.1933.61990.0521138.03334.936.873.07135.093.5945.751911.8513.796.12126.10933.1065764.1433170.435594145.89294.0472937.6535210209.213.152.06435891.42174.1842352285.7750.782289.412291.853.821155.821151.461014.4811153.473.880.809591163.91846.1004163.57536.1132127.84100430.79101450.67819.920.2514488.0815123.632893940.132.512521.280640.99804460.71263.24093.925999878.45280.46103068726.72065.39189650.76491.4757.331974659.381601.2210.78506.5758900.1116.793.359312.988209260.3585.0855869.225.101339.82717707.595.7318.346254.483294.318.25245.56356.97597.2412.5279.8371179.114.41023478152.4594428.066254.578351.9653313.65712.79382802.8130.47331.932.190.599465126.9331.767916149.97333.432.35133.658043.352083.8160.945560060000037385.9667.11917.007258.77867.332874.31475.814.55293.927.6681649.68581.038.1312.10669.7542609.2081039.33.9889008.061026.950.384.870.8411.3811.6911.611.895.840.6431.25265.841127.02287.416325.65768.7126.80527.405443.7428651.87880.96652.93356822.311876.413643.924449.81926614919.7125.8126125.912630245.71.641333.0386440.770.996005527.781054.54684.7810.36134.76357.439515.2920.794519.853.071287.7416542.87433.055.322.42173.742.8235.51249.3610.754.74744.74982.2295542.9641160.547845113.64162.9014539.375937963.210.321.4897671.40772.9703822897.0440.512899.282894.83.011451.111452.021287.7171444.743.071.03868211.96164.7177211.7154.7232154.8479667.0881219.42701.420.31429211.733285.183874959.983.296071.580041.3495449.28934.02955.353147796.3560.1984854217.31636.69471972.12370.0748.614257478.464003.9170.35576.545748142.8233.251992.161687316.73104.8744158.431.068732.18257111.379.1523.282942.93678.369.96737.02367.86180.0115.675363.778148.415.41252386032.5986733.179275.45761.4321063.03515.07566158.5106.31127.0427.280.751812140.2335.667484126.653304.4727.45114.994958144990.4135.0934909970000032015.2577.56921.895545.65867.072994.45137.575.84386.147.3777266.42747.1610.810.3461.6958523.7081319.74.37668924.191299.3571632.480.365.70.7910.6310.9510.8411.145.690.6332.94760.829428.35184.454927.09266.4128.41126.386542.0021631.59670.96631.91216588.711791.713607.423677.21887415076.8125.8125.8125.3125.829982.1173689104.2319.5133.15108.6320.78172.46.6124.4929.5847.889.6541.985.9390.6725.189.4530.56128.8946.385.871.534064.3093780.980.951469686.81366.98878.3413.6103.86273.0212465.6727.045676.1163.88987.2821216.53334.876.883.06134.713.645.71611.8413.576.12716.13243.1114224.1679810.436735145.76014.0510687.6436910175.513.112.07927791.75374.199852292.7950.912286.062284.923.931153.921153.651022.5131151.663.890.810727164.10146.0935164.12696.0926127.8199945.51101913.04815.540.2514558.0834123.618794196.152.523061.269341.0011961.67783.256393.940379878.96281.2105968924.12065.45289489.33492.657.337875589.881006.5211.48504.9258030.3117.1083.35873.003191260.8885.1455451.225.001639.98847820.995.8818.303354.606894.398.19445.41256.28697.0212.475580.1275178.794.3910647874.52.4998228.011254.928011.9580333.66312.70983774128.87231.932.210.600197127.3231.599213151.27320.9432.32133.3857896.551227.6160.8685546120000037644.8664.22317.062658.5857.325014.3275.824.55293.727.6513449.24580.858.1112.04169.7475609.3851013.263.93988942.431026.0487991.410.374.90.8911.2411.5211.4211.715.850.6431.22464.8172787.485525.54367.9826.91927.430543.5844652.2140.93652.43246681.111773.913882.324135.41940714780.9126126.6125.9125.830242.81.641453.0205140.760.998888524.81056.83674.510.3135.95356.459620.2620.752518.8073.061286.0716447.65434.115.42.43173.332.7835.71599.4710.874.74914.74532.2323232.9634640.546883113.89022.9153869.361447979.810.341.48870571.29792.9681272896.0340.592894.492897.493.031451.111450.691271.8581451.243.081.0351211.88544.7194211.29514.7326155.0779438.6581313.15700.570.31283611.712585.333174915.63.308961.581871.3586349.56884.022365.344587798.28459.54857543231636.75671894.89369.5147.710357655.164029.9170.53574.6345832.6142.83.254252.168226315.29104.8844302.131.176132.07167284.379.0423.497142.544478.429.9836.89567.48180.0215.640363.9203147.895.4391838259.72.5653433.289275.654531.4339633.06215.17266439.6105.58427.0327.250.751588140.5735.464357126.843301.9427.45114.849466.944644.1137.3164955520000032399.3575.01421.839545.7777.0974.468047.615.92388.027.3779667.15737.3710.8210.28762.865520.4691312.654.41869725.021293.5571432.570.365.70.7910.510.810.6910.995.670.6233.61660.474728.68183.985827.36766.1928.47526.329142.0667632.13850.97631.69136591.911921.813436.223907.71886314646.5124.9125.4124.8124.929725.6172297103.5519.6133.01108.2320.71171.876.5924.4229.547.769.6341.8285.890.5625.159.4630.55128.9346.375.871.549654.2928420.980.95236688.941368.71879.9513.61104272.8512492.0327.164679.0923.92987.2221093.55335.746.893.07134.833.646.086311.8913.766.12556.10993.0935084.1613540.437387145.86634.0574567.6172210245.413.12.07528792.37554.1855032286.6851.072284.462278.553.921151.641152.591009.371152.563.880.80746163.96566.0986163.9656.0987128.699842.9101332.71821.750.2495848.0691123.83894163.542.489031.264661.0095761.41253.224873.934369878.52281.2104169025.52075.42589648.15489.8656.950876191.381310.2211.78506.6959240116.5523.43062.992101263.4384.9156905.124.999539.9927918.495.7518.287954.652794.478.29645.66256.54597.1912.436280.3808178.524.3875948045.32.4635528.06254.399071.9776493.68112.77483763.6130.36831.9132.240.598339127.2431.512596150.845325.7832.35133.958739.952032.1161.2255555150000037365.9667.56617.0258.73257.328294.309915.84.54293.627.625349.24579.48.1611.99670.2151611.4591017.444.02588360.221026.820.384.860.8511.3911.6811.5611.895.840.6431.55365.090327.44286.782325.92368.1426.91327.410343.291651.36080.97652.54716691.212170.413932.624038.61948315227.8126126125.912629807.50.6567815.3711731.310.361776931.521858.441180.318.3176.34200.2616732.8836.599914.9645.23713.9927745.56245.379.344.0598.994.7563.246715.7217.78.67078.65283.9013515.2127990.309279204.98375.0270595.5754514345.317.162.598702128.58845.2683661659.3165.91654.841657.575.25844.735843.757731.362845.7325.240.61744124.27078.0466124.26238.047284.43129714.87131511.711119.550.186287.5016133.2117124644.272.131391.127070.86321986.97352.463883.3910713558.29599.46139386491.72784.142116337.68683.382.239993584.795980.3273.82351.0671172.693.721.844063.711085201.8469.1968221.721.092547.40113279118.9715.374165.0078117.356.73257.16246.287117.7410.725993.1923217.933.4615255906.21.5282823.047175.065722.4220284.51110.77494461.6161.137.6937.780.583775104.2826.423261185.429212.7436.92154.1964464.357623.6192.6896660100000043498.7739.02818.179554.99115.209563.1766.445.08327.195.6980860.28640.678.7713.66372.9306685.3841137.543.5761140.440.435.350.9312.3612.7112.5712.886.450.7129.12668.936825.3794.815324.29674.1725.46929.249646.6464693.07021.02691.46857076.912631.314338.925105.61949614938.5125.8125.9126125.530313.70.4339818.4110542.10.37091446.822903.281851.7528.2749.54130.3326078.9656.8631421.5788.38470.344954.59159.2114.366.5364.47.4894.953425.0128.612.560112.53845.8870847.7808740.209335295.17817.5203493.630520480.926.473.808642182.39557.5909261132.89103.211138.441141.297.59576.369577.904516.255584.2747.60.41983385.936311.635985.962111.632563.18194668.2197728.821703.890.1299454.9123203.3551177431.31.408040.6775580.582188115.00441.734912.344617543.41134.331806114820.83443.216149355.73762.1697.801117739.2129868.6344.54286.1991613.272.0951.757494.188677165.954.9883215.616.637560.089813104.3145.5912.794278.0988143.45.53366.41637.725143.328.8369113.1102260.053.1404165240.21.5418819.647162.827562.1894495.1289.101109601.2174.40444.5944.240.46835188.122.570834198.497267.2342.65173.8574346.966871.1197.3977131420000045991.3518.17515.441764.73645.193243.213195.524.31282.775.5991959.51554.9510.4911.9181.7708578.9761048.953.3971045.760.354.690.9211.6412.0211.912.175.510.6130.44869.443426.34584.237825.21770.4526.07327.089843.8473635.50820.99633.8156757.61199713554.124264.21980014664.6122.2122.8122.8122.830094.3OpenBenchmarking.org

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.36930.73861.10791.47721.84650.4339810.6567811.5496501.6414501.5340601.6413301.550370MIN: 0.42MIN: 0.61MIN: 1.41MIN: 1.62MIN: 1.41MIN: 1.62MIN: 1.411. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Stargate Digital Audio Workstation

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

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 1024Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002468108.4110545.3711734.2928423.0205144.3093783.0386444.2901691. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

QuadRay

VectorChief's QuadRay is a real-time ray-tracing engine written to support SIMD across ARM, MIPS, PPC, and x86/x86_64 processors. QuadRay supports SSE/SSE2/SSE4 and AVX/AVX2/AVX-512 usage on Intel/AMD CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 5 - Resolution: 4KRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.47250.9451.41751.892.36252.101.310.980.760.980.770.911. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.22470.44940.67410.89881.12350.3709000.3617760.9523600.9988880.9514690.9960050.958327MIN: 0.32MIN: 0.34MIN: 0.85MIN: 0.94MIN: 0.85MIN: 0.93MIN: 0.861. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -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.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700300600900120015001446.82931.52688.94524.80686.80527.78687.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770060012001800240030002903.281858.441368.711056.831366.981054.541368.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077004008001200160020001851.751180.30879.95674.50878.34684.78878.781. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770071421283528.2718.3113.6110.3013.6010.3613.591. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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: BMW27 - Compute: CPU-OnlyRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770030609012015049.5476.34104.00135.95103.86134.76104.24

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: CPU-OnlyRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770080160240320400130.33200.26272.85356.45273.02357.43272.67

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077006K12K18K24K30K26078.9616732.8812492.039620.2612465.679515.2912463.141. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

miniBUDE

MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700132639526556.8636.6027.1620.7527.0520.7927.211. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700300600900120015001421.58914.96679.09518.81676.12519.85680.191. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

QuadRay

VectorChief's QuadRay is a real-time ray-tracing engine written to support SIMD across ARM, MIPS, PPC, and x86/x86_64 processors. QuadRay supports SSE/SSE2/SSE4 and AVX/AVX2/AVX-512 usage on Intel/AMD CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 5 - Resolution: 1080pRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002468108.385.233.923.063.883.073.611. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

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-OnlyRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770030060090012001500470.30713.99987.221286.07987.281287.74990.05

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770010K20K30K40K50K44954.5927745.5621093.5516447.6521216.5316542.8721138.031. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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-OnlyRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770090180270360450159.21245.37335.74434.11334.87433.05334.93

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077004812162014.369.346.895.406.885.326.871. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

QuadRay

VectorChief's QuadRay is a real-time ray-tracing engine written to support SIMD across ARM, MIPS, PPC, and x86/x86_64 processors. QuadRay supports SSE/SSE2/SSE4 and AVX/AVX2/AVX-512 usage on Intel/AMD CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 3 - Resolution: 4KRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002468106.534.053.072.433.062.423.071. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

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-OnlyRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700408012016020064.4098.99134.83173.33134.71173.74135.09

QuadRay

VectorChief's QuadRay is a real-time ray-tracing engine written to support SIMD across ARM, MIPS, PPC, and x86/x86_64 processors. QuadRay supports SSE/SSE2/SSE4 and AVX/AVX2/AVX-512 usage on Intel/AMD CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 2 - Resolution: 4KRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002468107.484.753.602.783.602.823.591. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002040608010094.9563.2546.0935.7245.7235.5145.75

QuadRay

VectorChief's QuadRay is a real-time ray-tracing engine written to support SIMD across ARM, MIPS, PPC, and x86/x86_64 processors. QuadRay supports SSE/SSE2/SSE4 and AVX/AVX2/AVX-512 usage on Intel/AMD CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 3 - Resolution: 1080pRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770061218243025.0115.7211.899.4711.849.3611.851. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 2 - Resolution: 1080pRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770071421283528.6017.7013.7610.8713.5710.7513.791. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700369121512.56018.67076.12554.74916.12714.74746.1212

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700369121512.53848.65286.10994.74536.13244.74986.1093

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: 96000 - Buffer Size: 1024Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077001.32462.64923.97385.29846.6235.8870843.9013513.0935082.2323233.1114222.2295543.1065761. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 512Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002468107.7808745.2127994.1613542.9634644.1679812.9641164.1433171. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.12330.24660.36990.49320.61650.2093350.3092790.4373870.5468830.4367350.5478450.435594MIN: 0.2MIN: 0.28MIN: 0.39MIN: 0.52MIN: 0.39MIN: 0.52MIN: 0.391. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770060120180240300295.18204.98145.87113.89145.76113.64145.89

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: 480000 - Buffer Size: 512Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002468107.5203495.0270594.0574562.9153864.0510682.9014534.0472931. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770036912153.630505.575457.617229.361447.643699.375937.65352MIN: 3.49MIN: 5.15MIN: 6.91MIN: 9MIN: 7.01MIN: 8.99MIN: 7.011. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077004K8K12K16K20K20480.914345.310245.47979.810175.57963.210209.21. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

QuadRay

VectorChief's QuadRay is a real-time ray-tracing engine written to support SIMD across ARM, MIPS, PPC, and x86/x86_64 processors. QuadRay supports SSE/SSE2/SSE4 and AVX/AVX2/AVX-512 usage on Intel/AMD CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 1 - Resolution: 4KRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770061218243026.4717.1613.1010.3413.1110.3213.151. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

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: 1024Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.85691.71382.57073.42764.28453.8086422.5987022.0752871.4887052.0792771.4897602.0643581. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077004080120160200182.40128.5992.3871.3091.7571.4191.42

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: 480000 - Buffer Size: 1024Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002468107.5909265.2683664.1855032.9681274.1998502.9703824.1842351. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770060012001800240030001132.891659.312286.682896.032292.792897.042285.77MIN: 1126.66MIN: 1653.28MIN: 2256.78MIN: 2892.21MIN: 2263.98MIN: 2894.58MIN: 2261.611. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

QuadRay

VectorChief's QuadRay is a real-time ray-tracing engine written to support SIMD across ARM, MIPS, PPC, and x86/x86_64 processors. QuadRay supports SSE/SSE2/SSE4 and AVX/AVX2/AVX-512 usage on Intel/AMD CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 1 - Resolution: 1080pRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770020406080100103.2165.9051.0740.5950.9140.5150.781. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770060012001800240030001138.441654.842284.462894.492286.062899.282289.41MIN: 1134.81MIN: 1650.57MIN: 2257.76MIN: 2889.02MIN: 2264.7MIN: 2894.06MIN: 2259.171. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770060012001800240030001141.291657.572278.552897.492284.922894.802291.85MIN: 1136.34MIN: 1652.65MIN: 2250.58MIN: 2893.89MIN: 2256.32MIN: 2890.45MIN: 2265.181. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -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.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002468107.595.253.923.033.933.013.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770030060090012001500576.37844.741151.641451.111153.921451.111155.82MIN: 571.99MIN: 841.12MIN: 1130.25MIN: 1447.68MIN: 1131.1MIN: 1446.43MIN: 1133.251. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770030060090012001500577.90843.761152.591450.691153.651452.021151.46MIN: 572.8MIN: 839.84MIN: 1130.21MIN: 1447.97MIN: 1128.34MIN: 1449.41MIN: 1123.591. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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: allmodconfigRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770030060090012001500516.26731.361009.371271.861022.511287.721014.48

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770030060090012001500584.27845.731152.561451.241151.661444.741153.47MIN: 578.68MIN: 841.79MIN: 1127.77MIN: 1448.94MIN: 1129.92MIN: 1431.65MIN: 1132.311. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -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.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002468107.605.243.883.083.893.073.881. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.23370.46740.70110.93481.16850.4198330.6174400.8074601.0351000.8107271.0386800.809591MIN: 0.4MIN: 0.56MIN: 0.74MIN: 1MIN: 0.74MIN: 1MIN: 0.741. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077005010015020025085.94124.27163.97211.89164.10211.96163.92

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700369121511.63598.04666.09864.71946.09354.71776.1004

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077005010015020025085.96124.26163.97211.30164.13211.72163.58

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700369121511.63258.04726.09874.73266.09264.72326.1132

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Rubber O-Ring Seal InstallationRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770030609012015063.1884.43128.60155.07127.81154.84127.84

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: 200Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770040K80K120K160K200K194668.20129714.8799842.9079438.6599945.5179667.08100430.791. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 100Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770040K80K120K160K200K197728.82131511.71101332.7181313.15101913.0481219.42101450.671. (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.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077004008001200160020001703.891119.55821.75700.57815.54701.42819.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.07070.14140.21210.28280.35350.1299450.1862800.2495840.3128360.2514550.3142920.251448MIN: 0.12MIN: 0.17MIN: 0.22MIN: 0.3MIN: 0.22MIN: 0.3MIN: 0.221. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770036912154.91237.50168.069111.71258.083411.73328.0815

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077004080120160200203.36133.21123.8485.33123.6285.18123.63

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: 500Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770040K80K120K160K200K177431.30124644.2794163.5474915.6094196.1574959.9893940.131. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.74451.4892.23352.9783.72251.408042.131392.489033.308962.523063.296072.51252MIN: 1.36MIN: 2.04MIN: 2.35MIN: 3.16MIN: 2.34MIN: 3.13MIN: 2.171. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.35590.71181.06771.42361.77950.6775581.1270701.2646601.5818701.2693401.5800401.280640MIN: 0.6MIN: 1.04MIN: 1.15MIN: 1.51MIN: 1.15MIN: 1.5MIN: 1.141. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.30570.61140.91711.22281.52850.5821880.8632191.0095701.3586301.0011901.3495400.998044MIN: 0.57MIN: 0.82MIN: 0.89MIN: 1.3MIN: 0.9MIN: 1.29MIN: 0.891. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700306090120150115.0086.9761.4149.5761.6849.2960.71

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.90661.81322.71983.62644.5331.734912.463883.224874.022363.256394.029503.24090MIN: 1.55MIN: 2.23MIN: 2.91MIN: 3.78MIN: 2.9MIN: 3.77MIN: 2.851. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077001.20452.4093.61354.8186.02252.344603.391073.934365.344583.940375.353143.92599MIN: 2.29MIN: 3.3MIN: 3.78MIN: 5.3MIN: 3.73MIN: 5.3MIN: 3.771. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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 ScalarRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770040801201602001751359877987798MIN: 19 / MAX: 2252MIN: 13 / MAX: 2264MIN: 9 / MAX: 1755MIN: 7 / MAX: 1391MIN: 9 / MAX: 1750MIN: 7 / MAX: 1390MIN: 9 / MAX: 1756

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: defconfigRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002040608010043.4158.3078.5298.2878.9696.3578.45

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700306090120150134.3399.4681.2059.5481.2060.1980.461. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

spaCy

The spaCy library is an open-source solution for advanced neural language processing (NLP). The spaCy library leverages Python and is a leading neural language processing solution. This test profile times the spaCy CPU performance with various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_trfRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770040080012001600200018061393104185710598481030

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: 1024Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770020K40K60K80K100K114820.886491.769025.554323.068924.154217.368726.7

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 ISPCRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770070140210280350344278207163206163206MIN: 55 / MAX: 2868MIN: 38 / MAX: 3234MIN: 27 / MAX: 2580MIN: 21 / MAX: 2137MIN: 27 / MAX: 2543MIN: 21 / MAX: 2129MIN: 27 / MAX: 2575

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002468103.2164.1425.4256.7565.4526.6945.3911. (CXX) g++ options: -O3 -fPIC -lm

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: 1000Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770030K60K90K120K150K149355.73116337.6889648.1571894.8989489.3371972.1289650.761. (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.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700160320480640800762.16683.30489.86369.51492.60370.07491.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002040608010097.8082.2456.9547.7157.3448.6157.33

CockroachDB

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

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 512Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770030K60K90K120K150K117739.293584.776191.357655.175589.857478.474659.3

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 256Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770030K60K90K120K150K129868.695980.381310.264029.981006.564003.981601.2

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: 64 - Model: AlexNetRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770070140210280350344.54273.82211.78170.53211.48170.35210.78

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: INIVOL and Fluid Structure Interaction Drop ContainerRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700120240360480600286.19351.06506.69574.63504.92576.50506.57

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, 60% Reads - Concurrency: 1024Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770020K40K60K80K100K91613.271172.659240.045832.658030.345748.058900.1

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 0Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770030609012015072.1093.72116.55142.80117.11142.82116.791. (CXX) g++ options: -O3 -fPIC -lm

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.77191.54382.31573.08763.85951.757491.844063.430603.254253.358703.251993.35931MIN: 1.68MIN: 1.78MIN: 3.09MIN: 3.2MIN: 3.09MIN: 3.19MIN: 3.091. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Stargate Digital Audio Workstation

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

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 512Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.94251.8852.82753.774.71254.1886773.7110852.9921012.1682263.0031912.1616872.9882091. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bird Strike on WindshieldRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770070140210280350165.90201.84263.43315.29260.88316.73260.35

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Cell Phone Drop TestRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002040608010054.9869.1984.91104.8885.14104.8785.08

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, 50% Reads - Concurrency: 1024Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770020K40K60K80K100K83215.668221.756905.144302.155451.244158.455869.2

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770071421283516.6421.0925.0031.1825.0031.0725.10

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700132639526560.0947.4039.9932.0739.9932.1839.83

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077003K6K9K12K15K13104.313279.07918.47284.37820.97111.37707.51. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

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: 32 - Model: GoogLeNetRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700306090120150145.59118.9795.7579.0495.8879.1595.73

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770061218243012.7915.3718.2923.5018.3023.2818.35

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002040608010078.1065.0154.6542.5454.6142.9454.48

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: 64 - Model: GoogLeNetRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700306090120150143.40117.3594.4778.4294.3978.3694.31

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6, LosslessRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770036912155.5336.7328.2969.9808.1949.9678.2521. (CXX) g++ options: -O3 -fPIC -lm

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 8 - Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700153045607566.4257.1645.6636.9045.4137.0245.561. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 2Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700153045607537.7346.2956.5567.4856.2967.8656.981. (CXX) g++ options: -O3 -fPIC -lm

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: GoogLeNetRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700306090120150143.32117.7497.1980.0297.0280.0197.24

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700481216208.836910.725912.436215.640312.475515.675312.5200

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700306090120150113.1193.1980.3863.9280.1363.7879.84

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: 32 - Model: AlexNetRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770060120180240300260.05217.93178.52147.89178.79148.41179.11

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077001.22382.44763.67144.89526.1193.140413.461524.387595.439184.391065.412524.41023MIN: 2.52MIN: 3.03MIN: 3.83MIN: 5.22MIN: 3.82MIN: 5.22MIN: 3.91. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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: 1024Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770014K28K42K56K70K65240.255906.248045.338259.747874.538603.047815.0

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.58471.16941.75412.33882.92351.541881.528282.463552.565342.499822.598672.45944MIN: 1.45MIN: 1.45MIN: 2.29MIN: 2.52MIN: 2.28MIN: 2.52MIN: 2.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 1BRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770081624324019.6523.0528.0633.2928.0133.1828.07

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, Small Mesh Size - Execution TimeRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770060120180240300162.83175.07254.40275.65254.93275.46254.581. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -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: 512Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.5451.091.6352.182.7252.1894492.4220281.9776491.4339631.9580331.4321061.9653311. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077001.15382.30763.46144.61525.7695.1284.5113.6813.0623.6633.0353.6571. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 500MRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700481216209.10110.77412.77415.17212.70915.07512.793

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: 128Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770020K40K60K80K100K109601.294461.683763.666439.683774.066158.582802.8

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080pRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077004080120160200174.40161.10130.37105.58128.87106.31130.471. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: ResNet-50Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700102030405044.5937.6931.9127.0331.9027.0431.90

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: ResNet-50Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700102030405044.2437.7832.2427.2532.2127.2832.19

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.16920.33840.50760.67680.8460.4683510.5837750.5983390.7515880.6001970.7518120.599465MIN: 0.38MIN: 0.54MIN: 0.55MIN: 0.73MIN: 0.55MIN: 0.73MIN: 0.551. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bumper BeamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770030609012015088.10104.28127.24140.57127.32140.23126.93

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, Small Mesh Size - Mesh TimeRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770081624324022.5726.4231.5135.4631.6035.6731.771. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

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 4KRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077004080120160200198.50185.43150.85126.84151.27126.65149.971. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

JPEG XL Decoding libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: AllRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770070140210280350267.23212.74325.78301.94320.94304.47333.40

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: 16 - Model: ResNet-50Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700102030405042.6536.9232.3527.4532.3227.4532.35

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: AlexNetRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077004080120160200173.85154.19133.90114.80133.38114.99133.60

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, 60% Reads - Concurrency: 512Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770016K32K48K64K80K74346.964464.358739.949466.957896.549581.058043.3

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 512Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770014K28K42K56K70K66871.157623.652032.144644.151227.644990.452083.8

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077004080120160200197.40192.69161.23137.32160.87135.09160.941. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

nekRS

nekRS is an open-source Navier Stokes solver based on the spectral element method. NekRS supports both CPU and GPU/accelerator support though this test profile is currently configured for CPU execution. NekRS is part of Nek5000 of the Mathematics and Computer Science MCS at Argonne National Laboratory. This nekRS benchmark is primarily relevant to large core count HPC servers and otherwise may be very time consuming. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFLOP/s, More Is BetternekRS 22.0Input: TurboPipe PeriodicRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770015000M30000M45000M60000M75000M713142000006660100000055551500000495552000005546120000049099700000556006000001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -lmpi_cxx -lmpi

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: 512Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770010K20K30K40K50K45991.343498.737365.932399.337644.832015.237385.9

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 1080pRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700160320480640800518.18739.03667.57575.01664.22577.57667.121. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770051015202515.4418.1817.0221.8417.0621.9017.01

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700142842567064.7454.9958.7345.7858.5945.6658.78

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002468105.193245.209567.328297.097007.325017.072997.33287MIN: 5.14MIN: 5.13MIN: 7MIN: 6.99MIN: 6.99MIN: 7MIN: 6.981. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077001.00532.01063.01594.02125.02653.213193.176004.309914.468044.327004.451304.31470MIN: 3.17MIN: 3.12MIN: 4.15MIN: 4.41MIN: 4.15MIN: 4.36MIN: 4.141. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -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: Weld Porosity Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002468105.526.445.807.615.827.575.81MIN: 2.89 / MAX: 13.87MIN: 3.32 / MAX: 13.96MIN: 3.02 / MAX: 17.77MIN: 3.98 / MAX: 15.67MIN: 3.04 / MAX: 18.04MIN: 6.66 / MAX: 10.78MIN: 3.04 / MAX: 18.381. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077001.3322.6643.9965.3286.664.315.084.545.924.555.844.55MIN: 2.7 / MAX: 13.22MIN: 3.14 / MAX: 13.29MIN: 2.81 / MAX: 17.51MIN: 3.72 / MAX: 14.13MIN: 3.21 / MAX: 16.73MIN: 3.64 / MAX: 14.42MIN: 2.79 / MAX: 18.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770080160240320400282.77327.19293.62388.02293.72386.14293.92MIN: 272.65 / MAX: 321.95MIN: 305.59 / MAX: 336.37MIN: 253.44 / MAX: 312.74MIN: 377.53 / MAX: 392.13MIN: 175.59 / MAX: 313.02MIN: 369.36 / MAX: 391.28MIN: 165.51 / MAX: 311.011. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002468105.599195.698087.625307.377967.651347.377727.66816MIN: 5.53MIN: 5.61MIN: 7.21MIN: 7.29MIN: 7.22MIN: 7.29MIN: 7.211. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -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: Machine Translation EN To DE FP16 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700153045607559.5160.2849.2467.1549.2466.4249.68MIN: 30.43 / MAX: 93.61MIN: 49.85 / MAX: 73.62MIN: 28.16 / MAX: 61.14MIN: 35.88 / MAX: 70.78MIN: 28.96 / MAX: 62.2MIN: 32.92 / MAX: 70.79MIN: 38.53 / MAX: 67.81. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700160320480640800554.95640.67579.40737.37580.85747.16581.03MIN: 524.6 / MAX: 612.36MIN: 582.42 / MAX: 667.21MIN: 295.45 / MAX: 610.9MIN: 711.8 / MAX: 751.48MIN: 540.23 / MAX: 609.84MIN: 702.8 / MAX: 764.81MIN: 426.35 / MAX: 612.841. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700369121510.498.778.1610.828.1110.808.13MIN: 4.87 / MAX: 19.49MIN: 7.17 / MAX: 17.28MIN: 3.91 / MAX: 45.74MIN: 4.85 / MAX: 20.72MIN: 4.87 / MAX: 21.23MIN: 5.27 / MAX: 12.56MIN: 4.17 / MAX: 23.811. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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 1080pRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077004812162011.9113.6612.0010.2912.0410.3412.111. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002040608010081.7772.9370.2262.8769.7561.7069.75

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 1080pRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700150300450600750578.98685.38611.46520.47609.39523.71609.211. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 FP32 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700300600900120015001048.951137.541017.441312.651013.261319.701039.30MIN: 661.91 / MAX: 1252.57MIN: 906.91 / MAX: 1301.86MIN: 748.93 / MAX: 1133.32MIN: 769.61 / MAX: 1437.48MIN: 678.12 / MAX: 1133.16MIN: 748.58 / MAX: 1432.8MIN: 870.74 / MAX: 1145.291. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 10, LosslessRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.99411.98822.98233.97644.97053.3973.5764.0254.4183.9394.3763.9801. (CXX) g++ options: -O3 -fPIC -lm

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: 20Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770020K40K60K80K100K88360.2269725.0288942.4368924.1989008.061. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Connections: 20

Ryzen 9 7900: The test quit with a non-zero exit status.

Ryzen 9 7950X: The test quit with a non-zero exit status.

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: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700300600900120015001045.761140.441026.821293.551026.041299.351026.95MIN: 892.85 / MAX: 1274.02MIN: 761.08 / MAX: 1262.9MIN: 885.32 / MAX: 1127.92MIN: 1064.48 / MAX: 1430.27MIN: 926.38 / MAX: 1134.19MIN: 1211.98 / MAX: 1428.07MIN: 817.31 / MAX: 1127.041. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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: 4000Ryzen 7600Ryzen 7 7700Ryzen 5 760020K40K60K80K100K71432.5787991.4171632.481. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Connections: 4000

7700: The test quit with a non-zero exit status.

Ryzen 7700: The test quit with a non-zero exit status.

Ryzen 9 7900: The test quit with a non-zero exit status.

Ryzen 9 7950X: The test quit with a non-zero exit status.

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 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.09680.19360.29040.38720.4840.350.430.380.360.370.360.38MIN: 0.22 / MAX: 8.03MIN: 0.25 / MAX: 8.27MIN: 0.23 / MAX: 12.99MIN: 0.22 / MAX: 36.45MIN: 0.23 / MAX: 12.52MIN: 0.22 / MAX: 2.91MIN: 0.23 / MAX: 12.71. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077001.28252.5653.84755.136.41254.695.354.865.704.905.704.87MIN: 3.81 / MAX: 10.73MIN: 3.97 / MAX: 8.07MIN: 3.92 / MAX: 7.26MIN: 4.26 / MAX: 14.33MIN: 3.95 / MAX: 17.52MIN: 4.69 / MAX: 7.25MIN: 3.89 / MAX: 9.441. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 100Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.20930.41860.62790.83721.04650.920.930.850.790.890.790.841. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 90Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700369121511.6412.3611.3910.5011.2410.6311.381. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 90Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700369121512.0212.7111.6810.8011.5210.9511.691. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 80Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700369121511.9012.5711.5610.6911.4210.8411.601. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 80Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700369121512.1712.8811.8910.9911.7111.1411.891. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

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: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002468105.516.455.845.675.855.695.84MIN: 3.02 / MAX: 13.92MIN: 3.63 / MAX: 14.04MIN: 3.18 / MAX: 18.11MIN: 3.16 / MAX: 13.24MIN: 3.19 / MAX: 18.82MIN: 3.01 / MAX: 14.04MIN: 4.03 / MAX: 8.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.15980.31960.47940.63920.7990.610.710.640.620.640.630.64MIN: 0.35 / MAX: 8.79MIN: 0.38 / MAX: 8.93MIN: 0.35 / MAX: 12.85MIN: 0.35 / MAX: 9.23MIN: 0.36 / MAX: 12.08MIN: 0.35 / MAX: 8.21MIN: 0.36 / MAX: 12.641. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

EnCodec

EnCodec is a Facebook/Meta developed AI means of compressing audio files using High Fidelity Neural Audio Compression. EnCodec is designed to provide codec compression at 6 kbps using their novel AI-powered compression technique. The test profile uses a lengthy JFK speech as the audio input for benchmarking and the performance measurement is measuring the time to encode the EnCodec file from WAV. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 24 kbpsRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770081624324030.4529.1331.5533.6231.2232.9531.25

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700153045607569.4468.9465.0960.4764.8260.8365.84

EnCodec

EnCodec is a Facebook/Meta developed AI means of compressing audio files using High Fidelity Neural Audio Compression. EnCodec is designed to provide codec compression at 6 kbps using their novel AI-powered compression technique. The test profile uses a lengthy JFK speech as the audio input for benchmarking and the performance measurement is measuring the time to encode the EnCodec file from WAV. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 6 kbpsRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770071421283526.3525.3727.4428.6827.0028.3527.02

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077002040608010084.2494.8286.7883.9987.4984.4587.42

EnCodec

EnCodec is a Facebook/Meta developed AI means of compressing audio files using High Fidelity Neural Audio Compression. EnCodec is designed to provide codec compression at 6 kbps using their novel AI-powered compression technique. The test profile uses a lengthy JFK speech as the audio input for benchmarking and the performance measurement is measuring the time to encode the EnCodec file from WAV. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 1.5 kbpsRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770061218243025.2224.3025.9227.3725.5427.0925.66

JPEG XL Decoding libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: 1Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700163248648070.4574.1768.1466.1967.9866.4168.71

EnCodec

EnCodec is a Facebook/Meta developed AI means of compressing audio files using High Fidelity Neural Audio Compression. EnCodec is designed to provide codec compression at 6 kbps using their novel AI-powered compression technique. The test profile uses a lengthy JFK speech as the audio input for benchmarking and the performance measurement is measuring the time to encode the EnCodec file from WAV. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 3 kbpsRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770071421283526.0725.4726.9128.4826.9228.4126.81

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 7600770071421283527.0929.2527.4126.3327.4326.3927.41

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700112233445543.8546.6543.2942.0743.5842.0043.74

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700150300450600750635.51693.07651.36632.14652.21631.60651.88

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 100Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077000.22950.4590.68850.9181.14750.991.020.970.970.930.960.961. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700150300450600750633.82691.47652.55631.69652.43631.91652.93

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: 128Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700150030004500600075006757.67076.96691.26591.96681.16588.76822.3

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 128Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077003K6K9K12K15K11997.012631.312170.411921.811773.911791.711876.4

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 256Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077003K6K9K12K15K13554.114338.913932.613436.213882.313607.413643.9

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 256Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077005K10K15K20K25K24264.225105.624038.623907.724135.423677.224449.8

spaCy

The spaCy library is an open-source solution for advanced neural language processing (NLP). The spaCy library leverages Python and is a leading neural language processing solution. This test profile times the spaCy CPU performance with various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_lgRyzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077004K8K12K16K20K19800194961948318863194071887419266

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, 60% Reads - Concurrency: 128Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077003K6K9K12K15K14664.614938.515227.814646.514780.915076.814919.7

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 512Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700306090120150122.2125.8126.0124.9126.0125.8125.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 128Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700306090120150122.8125.9126.0125.4126.6125.8126.0

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 1024Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700306090120150122.8126.0125.9124.8125.9125.3125.9

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 256Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 76007700306090120150122.8125.5126.0124.9125.8125.8126.0

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 256Ryzen 9 7950XRyzen 9 7900Ryzen 7700Ryzen 7600Ryzen 7 7700Ryzen 5 760077006K12K18K24K30K30094.330313.729807.529725.630242.829982.130245.7

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 MetricRyzen 7600Ryzen 5 760040K80K120K160K200K1722971736891. (CXX) g++ options: -std=c++14 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lregex_brl -lz_brl -lnetpbm -ldl -lm -ltk8.6

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastRyzen 7600Ryzen 5 760020406080100103.55104.231. (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: Very FastRyzen 7600Ryzen 5 760051015202519.6119.51

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: MediumRyzen 7600Ryzen 5 760081624324033.0133.15

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Ultra FastRyzen 7600Ryzen 5 760020406080100108.23108.63

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastRyzen 7600Ryzen 5 760051015202520.7120.78

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 1080p - Video Preset: Ultra FastRyzen 7600Ryzen 5 76004080120160200171.87172.401. (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: MediumRyzen 7600Ryzen 5 76002468106.596.61

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: Very FastRyzen 7600Ryzen 5 760061218243024.4224.491. (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 1080p - Video Preset: SlowRyzen 7600Ryzen 5 760071421283529.5029.58

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 1080p - Video Preset: MediumRyzen 7600Ryzen 5 7600112233445547.7647.881. (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: MediumRyzen 7600Ryzen 5 760036912159.639.651. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastRyzen 7600Ryzen 5 7600102030405041.8241.901. (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 1080p - Video Preset: Very FastRyzen 7600Ryzen 5 76002040608010085.8085.93

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Super FastRyzen 7600Ryzen 5 76002040608010090.5690.67

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastRyzen 7600Ryzen 5 760061218243025.1525.18

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: SlowRyzen 7600Ryzen 5 760036912159.469.451. (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 FastRyzen 7600Ryzen 5 760071421283530.5530.561. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastRyzen 7600Ryzen 5 7600306090120150128.93128.891. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: SlowRyzen 7600Ryzen 5 7600112233445546.3746.381. (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: SlowRyzen 7600Ryzen 5 76001.32082.64163.96245.28326.6045.875.87

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.

Connections: 1

7700: The test quit with a non-zero exit status.

Ryzen 5 7600: The test quit with a non-zero exit status.

Ryzen 7 7700: The test quit with a non-zero exit status.

Ryzen 7600: The test quit with a non-zero exit status.

Ryzen 7700: The test quit with a non-zero exit status.

Ryzen 9 7900: The test quit with a non-zero exit status.

Ryzen 9 7950X: The test quit with a non-zero exit status.

SMHasher

SMHasher is a hash function tester supporting various algorithms and able to make use of AVX and other modern CPU instruction set extensions. Learn more via the OpenBenchmarking.org test page.

Hash: MeowHash x86_64 AES-NI

7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 5 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7900: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: t1ha0_aes_avx2 x86_64

7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 5 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7900: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: FarmHash32 x86_64 AVX

7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 5 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7900: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: t1ha2_atonce

7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 5 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7900: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: FarmHash128

7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 5 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7900: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: fasthash32

7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 5 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7900: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: Spooky32

7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 5 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7900: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: SHA3-256

7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 5 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7900: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: wyhash

7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 5 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7900: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

198 Results Shown

oneDNN
Stargate Digital Audio Workstation
QuadRay
oneDNN
OpenVINO:
  Weld Porosity Detection FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Face Detection FP16-INT8 - CPU
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
OpenVINO
miniBUDE:
  OpenMP - BM1:
    Billion Interactions/s
    GFInst/s
QuadRay
Blender
OpenVINO
Blender
OpenVINO
QuadRay
Blender
QuadRay
Neural Magic DeepSparse
QuadRay:
  3 - 1080p
  2 - 1080p
Neural Magic DeepSparse:
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream
Stargate Digital Audio Workstation:
  96000 - 1024
  44100 - 512
oneDNN
Neural Magic DeepSparse
Stargate Digital Audio Workstation
oneDNN
Xmrig
QuadRay
Stargate Digital Audio Workstation
Neural Magic DeepSparse
Stargate Digital Audio Workstation
oneDNN
QuadRay
oneDNN:
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
OpenVINO
oneDNN:
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
Timed Linux Kernel Compilation
oneDNN
OpenVINO
oneDNN
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream:
    ms/batch
    items/sec
  NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream:
    ms/batch
    items/sec
OpenRadioss
nginx:
  200
  100
OpenVINO
oneDNN
Neural Magic DeepSparse:
  CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream:
    ms/batch
    items/sec
nginx
oneDNN:
  Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU
  IP Shapes 1D - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
Neural Magic DeepSparse
oneDNN:
  IP Shapes 1D - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
OpenVKL
Timed Linux Kernel Compilation
OpenVINO
spaCy
CockroachDB
OpenVKL
libavif avifenc
nginx
OpenVINO
Neural Magic DeepSparse
CockroachDB:
  KV, 95% Reads - 512
  KV, 95% Reads - 256
TensorFlow
OpenRadioss
CockroachDB
libavif avifenc
oneDNN
Stargate Digital Audio Workstation
OpenRadioss:
  Bird Strike on Windshield
  Cell Phone Drop Test
CockroachDB
Neural Magic DeepSparse:
  NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Stream:
    ms/batch
    items/sec
Xmrig
TensorFlow
Neural Magic DeepSparse:
  CV Detection,YOLOv5s COCO - Synchronous Single-Stream:
    ms/batch
    items/sec
TensorFlow
libavif avifenc
SVT-AV1
libavif avifenc
TensorFlow
Neural Magic DeepSparse:
  NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream:
    ms/batch
    items/sec
TensorFlow
oneDNN
CockroachDB
oneDNN
Y-Cruncher
OpenFOAM
Stargate Digital Audio Workstation
SVT-AV1
Y-Cruncher
CockroachDB
SVT-AV1
TensorFlow:
  CPU - 64 - ResNet-50
  CPU - 32 - ResNet-50
oneDNN
OpenRadioss
OpenFOAM
SVT-AV1
JPEG XL Decoding libjxl
TensorFlow:
  CPU - 16 - ResNet-50
  CPU - 16 - AlexNet
CockroachDB:
  KV, 60% Reads - 512
  KV, 50% Reads - 512
SVT-AV1
nekRS
CockroachDB
SVT-AV1
Neural Magic DeepSparse:
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Stream:
    ms/batch
    items/sec
oneDNN:
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  IP Shapes 3D - f32 - CPU
OpenVINO:
  Weld Porosity Detection FP16 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Face Detection FP16-INT8 - CPU
oneDNN
OpenVINO:
  Machine Translation EN To DE FP16 - CPU
  Face Detection FP16 - CPU
  Vehicle Detection FP16 - CPU
SVT-AV1
Neural Magic DeepSparse
SVT-AV1
OpenVINO
libavif avifenc
nginx
OpenVINO
nginx
OpenVINO:
  Age Gender Recognition Retail 0013 FP16 - CPU
  Person Vehicle Bike Detection FP16 - CPU
JPEG XL libjxl:
  JPEG - 100
  JPEG - 90
  PNG - 90
  JPEG - 80
  PNG - 80
OpenVINO:
  Weld Porosity Detection FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
EnCodec
Neural Magic DeepSparse
EnCodec
Neural Magic DeepSparse
EnCodec
JPEG XL Decoding libjxl
EnCodec
Neural Magic DeepSparse:
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream
JPEG XL libjxl
Neural Magic DeepSparse
CockroachDB:
  KV, 10% Reads - 128
  KV, 50% Reads - 128
  KV, 10% Reads - 256
  KV, 50% Reads - 256
spaCy
CockroachDB:
  KV, 60% Reads - 128
  MoVR - 512
  MoVR - 128
  MoVR - 1024
  MoVR - 256
  KV, 60% Reads - 256
BRL-CAD
Kvazaar
uvg266:
  Bosphorus 4K - Very Fast
  Bosphorus 1080p - Medium
  Bosphorus 1080p - Ultra Fast
  Bosphorus 4K - Super Fast
Kvazaar
uvg266
Kvazaar
uvg266
Kvazaar:
  Bosphorus 1080p - Medium
  Bosphorus 4K - Medium
  Bosphorus 4K - Ultra Fast
uvg266:
  Bosphorus 1080p - Very Fast
  Bosphorus 1080p - Super Fast
  Bosphorus 4K - Ultra Fast
Kvazaar:
  Bosphorus 4K - Slow
  Bosphorus 4K - Super Fast
  Bosphorus 1080p - Super Fast
  Bosphorus 1080p - Slow
uvg266