AMD Ryzen Non-X benchmarks new cpus

Benchmarks for a future article on Phoronix.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2301096-PTS-EO2022BE72
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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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AMD Ryzen Non-X 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

AMD Ryzen Non-X benchmarks new cpusminibude: OpenMP - BM1minibude: OpenMP - BM1nekrs: TurboPipe Periodicopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenradioss: Bumper Beamopenradioss: Cell Phone Drop Testopenradioss: Bird Strike on Windshieldopenradioss: Rubber O-Ring Seal Installationopenradioss: INIVOL and Fluid Structure Interaction Drop Containerxmrig: Monero - 1Mxmrig: Wownero - 1Mjpegxl: PNG - 80jpegxl: PNG - 90jpegxl: JPEG - 80jpegxl: JPEG - 90jpegxl: PNG - 100jpegxl: JPEG - 100jpegxl-decode: 1jpegxl-decode: Allquadray: 1 - 4Kquadray: 2 - 4Kquadray: 3 - 4Kquadray: 5 - 4Kquadray: 1 - 1080pquadray: 2 - 1080pquadray: 3 - 1080pquadray: 5 - 1080psvt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080popenvkl: vklBenchmark ISPCopenvkl: vklBenchmark Scalarstargate: 44100 - 512stargate: 96000 - 512stargate: 192000 - 512stargate: 44100 - 1024stargate: 480000 - 512stargate: 96000 - 1024stargate: 192000 - 1024stargate: 480000 - 1024avifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslessbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigy-cruncher: 1By-cruncher: 500Monednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUcockroach: MoVR - 128cockroach: MoVR - 256cockroach: MoVR - 512cockroach: MoVR - 1024cockroach: KV, 10% Reads - 128cockroach: KV, 10% Reads - 256cockroach: KV, 10% Reads - 512cockroach: KV, 50% Reads - 128cockroach: KV, 50% Reads - 256cockroach: KV, 50% Reads - 512cockroach: KV, 60% Reads - 128cockroach: KV, 60% Reads - 256cockroach: KV, 60% Reads - 512cockroach: KV, 95% Reads - 128cockroach: KV, 95% Reads - 256cockroach: KV, 95% Reads - 512cockroach: KV, 10% Reads - 1024cockroach: KV, 50% Reads - 1024cockroach: KV, 60% Reads - 1024cockroach: KV, 95% Reads - 1024tensorflow: CPU - 16 - AlexNettensorflow: CPU - 32 - AlexNettensorflow: CPU - 64 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 64 - ResNet-50deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamspacy: en_core_web_lgspacy: en_core_web_trfblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUnginx: 20nginx: 100nginx: 200nginx: 500nginx: 1000nginx: 4000encodec: 3 kbpsencodec: 6 kbpsencodec: 24 kbpsencodec: 1.5 kbpsbrl-cad: VGR Performance Metricuvg266: Bosphorus 1080p - Slowuvg266: Bosphorus 1080p - Mediumuvg266: Bosphorus 1080p - Very Fastuvg266: Bosphorus 1080p - Super Fastuvg266: Bosphorus 1080p - Ultra Fastuvg266: Bosphorus 4K - Slowuvg266: Bosphorus 4K - Mediumuvg266: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Super Fastuvg266: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Super Fastkvazaar: Bosphorus 1080p - Ultra Fastkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Super Fastkvazaar: Bosphorus 4K - Ultra Fast7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X680.19327.2085560060000031.767916254.57835126.9385.08260.35127.84506.577707.510209.211.8911.6911.611.380.960.8468.71333.413.153.593.070.9150.7813.7911.853.613.65745.563149.97160.9412.106130.473609.208667.119206984.1433172.9882091.9653314.2901694.0472933.1065762.0643584.184235116.7956.9755.3918.2523.9878.4521014.48128.06612.7933.24094.31470.5994650.9583271.280642.459447.668164.410233.925997.332870.8095910.9980442285.771155.822291.853.359317.653522.512521151.461.550372289.411153.470.2514480.435594126126125.8125.96822.313643.937385.911876.424449.852083.814919.730245.758043.382802.881601.274659.34781555869.258900.168726.7133.6179.11210.7897.2432.3595.7332.1994.3131.96.1093651.87886.1004163.918457.331969.754258.778617.007260.712665.841154.483218.3462145.892927.4054123.63288.081591.421743.742879.837112.5245.751987.416339.827125.10136.1212652.93356.1132163.5753192661030104.24272.67135.09990.05334.936.87581.033.881026.953.821039.3491.478.1313.59293.92878.784.55687.655.8180.4649.681368.565.84819.924.8721138.030.3812463.140.6489008.06101450.67100430.7993940.1389650.7626.80527.02231.25225.657519.8520.7944909970000035.667484275.4576140.23104.87316.73154.84576.57111.37963.211.1410.9510.8410.630.960.7966.41304.4710.322.822.420.7740.5110.759.363.073.03537.023126.653135.09310.34106.311523.708577.569163772.9641162.1616871.4321063.0386442.9014532.2295541.489762.970382142.82367.8616.6949.9674.37696.351287.71733.17915.0754.02954.45130.7518120.9960051.580042.598677.377725.412525.353147.072991.038681.349542897.041451.112894.83.251999.375933.296071452.021.641332899.281444.740.3142920.547845125.8125.8125.8125.36588.713607.432015.211791.723677.244990.415076.829982.14958166158.564003.957478.43860344158.44574854217.3114.99148.41170.3580.0127.4579.1527.2878.3627.044.7498631.59674.7177211.961648.614261.695845.658621.895549.289360.829442.93623.2829113.641626.386585.183811.733271.407742.002163.77815.675335.512484.454932.182531.06874.7474631.91214.7232211.71518874848134.76357.43173.741287.74433.055.32747.163.071299.353.011319.7370.0710.810.36386.14684.785.84527.787.5760.1966.421054.545.69701.425.716542.870.369515.290.6368924.1981219.4279667.0874959.9871972.1271632.4828.41128.35132.94727.09217368929.5833.1585.9390.67108.635.876.6119.5120.7825.1846.3847.88104.23128.89172.49.459.6524.4930.5641.9676.11627.0455546120000031.599213254.92801127.3285.14260.88127.81504.927820.910175.511.7111.5211.4211.240.930.8967.98320.9413.113.63.060.9850.9113.5711.843.883.66345.412151.27160.86812.041128.872609.385664.223206984.1679813.0031911.9580334.3093784.0510683.1114222.0792774.19985117.10856.2865.4528.1943.93978.9621022.51328.01112.7093.256394.3270.6001970.9514691.269342.499827.651344.391063.940377.325010.8107271.001192292.791153.922284.923.35877.643692.523061153.651.534062286.061151.660.2514550.436735126.6125.8126125.96681.113882.337644.811773.924135.451227.614780.930242.857896.58377481006.575589.847874.555451.258030.368924.1133.38178.79211.4897.0232.3295.8832.2194.3931.96.1324652.2146.0935164.101457.337869.747558.58517.062661.677864.81754.606818.3033145.760127.4305123.61878.083491.753743.584480.127512.475545.71687.485539.988425.00166.1271652.43246.0926164.1269194071059103.86273.02134.71987.28334.876.88580.853.891026.043.931013.26492.68.1113.6293.72878.344.55686.85.8281.249.241366.985.85815.544.921216.530.3712465.670.6488942.43101913.0499945.5194196.1589489.3387991.4126.9192731.22425.543518.80720.7524955520000035.464357275.65453140.57104.88315.29155.07574.637284.37979.810.9910.810.6910.50.970.7966.19301.9410.342.782.430.7640.5910.879.473.063.06236.895126.843137.31610.287105.584520.469575.014163772.9634642.1682261.4339633.0205142.9153862.2323231.4887052.968127142.867.4816.7569.984.41898.2841271.85833.28915.1724.022364.468040.7515880.9988881.581872.565347.377965.439185.344587.0971.03511.358632896.031451.112897.493.254259.361443.308961450.691.641452894.491451.240.3128360.546883125.4124.9124.9124.86591.913436.232399.311921.823907.744644.114646.529725.649466.966439.664029.957655.138259.744302.145832.654323114.8147.89170.5380.0227.4579.0427.2578.4227.034.7453632.13854.7194211.885447.710362.86545.77721.839549.568860.474742.544423.4971113.890226.329185.333111.712571.297942.066763.920315.640335.715983.985832.071631.17614.7491631.69134.7326211.295118863857135.95356.45173.331286.07434.115.4737.373.081293.553.031312.65369.5110.8210.3388.02674.55.92524.87.6159.5467.151056.835.67700.575.716447.650.369620.260.6269725.0281313.1579438.6574915.671894.8971432.5728.47528.68133.61627.36717229729.533.0185.890.56108.235.876.5919.6120.7125.1546.3747.76103.55128.93171.879.469.6324.4230.5541.82679.09227.1645555150000031.512596254.39907127.2484.91263.43128.6506.697918.410245.411.8911.6811.5611.390.970.8568.14325.7813.13.63.070.9851.0713.7611.893.923.68145.662150.845161.22511.996130.368611.459667.566207984.1613542.9921011.9776494.2928424.0574563.0935082.0752874.185503116.55256.5455.4258.2964.02578.5221009.3728.0612.7743.224874.309910.5983390.952361.264662.463557.62534.387593.934367.328290.807461.009572286.681151.642278.553.43067.617222.489031152.591.549652284.461152.560.2495840.437387126126126125.96691.213932.637365.912170.424038.652032.115227.829807.558739.983763.681310.276191.348045.356905.15924069025.5133.9178.52211.7897.1932.3595.7532.2494.4731.916.1099651.36086.0986163.965656.950870.215158.732517.0261.412565.090354.652718.2879145.866327.4103123.8388.069192.375543.29180.380812.436246.086386.782339.99224.99956.1255652.54716.0987163.965194831041104272.85134.83987.22335.746.89579.43.881026.823.921017.44489.868.1613.61293.62879.954.54688.945.881.249.241368.715.84821.754.8621093.550.3812492.030.6488360.22101332.7199842.994163.5489648.1526.91327.44231.55325.923914.96436.5996660100000026.423261175.06572104.2869.19201.8484.43351.061327914345.312.8812.7112.5712.361.020.9374.17212.7417.164.754.051.3165.917.715.725.234.51157.162185.429192.68913.663161.1685.384739.0282781355.2127993.7110852.4220285.3711735.0270593.9013512.5987025.26836693.7246.2874.1426.7323.57658.295731.36223.04710.7742.463883.1760.5837750.3617761.127071.528285.698083.461523.391075.209560.617440.8632191659.31844.7351657.571.844065.575452.13139843.7570.6567811654.84845.7320.186280.309279125.9125.5125.81267076.914338.943498.712631.325105.657623.614938.530313.764464.394461.695980.393584.755906.268221.771172.686491.7154.19217.93273.82117.7436.92118.9737.78117.3537.698.6528693.07028.0466124.270782.239972.930654.991118.179586.973568.936865.007815.3741204.983729.2496133.21177.5016128.588446.646493.192310.725963.246794.815347.40121.09258.6707691.46858.0472124.262319496139376.34200.2698.99713.99245.379.34640.675.241140.445.251137.54683.38.7718.31327.191180.35.08931.526.4499.4660.281858.446.451119.555.3527745.560.4316732.880.71131511.71129714.87124644.27116337.6825.46925.3729.12624.2961421.57856.8637131420000022.570834162.8275688.154.98165.963.18286.1913104.320480.912.1712.0211.911.640.990.9270.45267.2326.477.486.532.1103.2128.625.018.385.12866.416198.497197.39711.91174.404578.976518.1753441757.7808744.1886772.1894498.4110547.5203495.8870843.8086427.59092672.09537.7253.2165.5333.39743.41516.25519.6479.1011.734913.213190.4683510.37090.6775581.541885.599193.140412.34465.193240.4198330.5821881132.89576.3691141.291.757493.63051.40804577.9040.4339811138.44584.2740.1299450.209335122.8122.8122.2122.86757.613554.145991.31199724264.266871.114664.630094.374346.9109601.2129868.6117739.265240.283215.691613.2114820.8173.85260.05344.54143.3242.65145.5944.24143.444.5912.5384635.508211.635985.936397.80181.770864.736415.4417115.004469.443478.098812.7942295.178127.0898203.35514.9123182.395543.8473113.11028.836994.953484.237860.089816.637512.5601633.81511.632585.962119800180649.54130.3364.4470.3159.2114.36554.957.61045.767.591048.95762.1610.4928.27282.771851.754.311446.825.52134.3359.512903.285.511703.894.6944954.590.3526078.960.61197728.82194668.2177431.3149355.7326.07326.34530.44825.217OpenBenchmarking.org

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.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM17700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X30060090012001500680.19519.85676.12518.81679.09914.961421.581. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM17700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X132639526527.2120.7927.0520.7527.1636.6056.861. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

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: 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

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: 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: 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: 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: 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: 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: 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: 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

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 Periodic7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X15000M30000M45000M60000M75000M556006000004909970000055461200000495552000005555150000066601000000713142000001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -lmpi_cxx -lmpi

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 Time7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X81624324031.7735.6731.6035.4631.5126.4222.571. (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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution Time7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X60120180240300254.58275.46254.93275.65254.40175.07162.831. (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

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 Beam7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X306090120150126.93140.23127.32140.57127.24104.2888.10

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Cell Phone Drop Test7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2040608010085.08104.8785.14104.8884.9169.1954.98

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bird Strike on Windshield7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X70140210280350260.35316.73260.88315.29263.43201.84165.90

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Rubber O-Ring Seal Installation7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X306090120150127.84154.84127.81155.07128.6084.4363.18

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: INIVOL and Fluid Structure Interaction Drop Container7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X120240360480600506.57576.50504.92574.63506.69351.06286.19

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: 1M7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X3K6K9K12K15K7707.57111.37820.97284.37918.413279.013104.31. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1M7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X4K8K12K16K20K10209.27963.210175.57979.810245.414345.320480.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

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: 807700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X369121511.8911.1411.7110.9911.8912.8812.171. (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: 907700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X369121511.6910.9511.5210.8011.6812.7112.021. (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: 807700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X369121511.6010.8411.4210.6911.5612.5711.901. (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: 907700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X369121511.3810.6311.2410.5011.3912.3611.641. (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: 1007700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.22950.4590.68850.9181.14750.960.960.930.970.971.020.991. (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: 1007700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.20930.41860.62790.83721.04650.840.790.890.790.850.930.921. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

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: 17700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X163248648068.7166.4167.9866.1968.1474.1770.45

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: All7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X70140210280350333.40304.47320.94301.94325.78212.74267.23

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: 4K7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X61218243013.1510.3213.1110.3413.1017.1626.471. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 2 - Resolution: 4K7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2468103.592.823.602.783.604.757.481. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 3 - Resolution: 4K7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2468103.072.423.062.433.074.056.531. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 5 - Resolution: 4K7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.47250.9451.41751.892.36250.910.770.980.760.981.312.101. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 1 - Resolution: 1080p7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2040608010050.7840.5150.9140.5951.0765.90103.211. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 2 - Resolution: 1080p7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X71421283513.7910.7513.5710.8713.7617.7028.601. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 3 - Resolution: 1080p7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X61218243011.859.3611.849.4711.8915.7225.011. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 5 - Resolution: 1080p7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2468103.613.073.883.063.925.238.381. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

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 4K7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X1.15382.30763.46144.61525.7693.6573.0353.6633.0623.6814.5115.1281. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4K7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X153045607545.5637.0245.4136.9045.6657.1666.421. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4K7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X4080120160200149.97126.65151.27126.84150.85185.43198.501. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4K7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X4080120160200160.94135.09160.87137.32161.23192.69197.401. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080p7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X4812162012.1110.3412.0410.2912.0013.6611.911. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080p7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X4080120160200130.47106.31128.87105.58130.37161.10174.401. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080p7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X150300450600750609.21523.71609.39520.47611.46685.38578.981. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 1080p7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X160320480640800667.12577.57664.22575.01667.57739.03518.181. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 ISPC7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X70140210280350206163206163207278344MIN: 27 / MAX: 2575MIN: 21 / MAX: 2129MIN: 27 / MAX: 2543MIN: 21 / MAX: 2137MIN: 27 / MAX: 2580MIN: 38 / MAX: 3234MIN: 55 / MAX: 2868

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark Scalar7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X40801201602009877987798135175MIN: 9 / MAX: 1756MIN: 7 / MAX: 1390MIN: 9 / MAX: 1750MIN: 7 / MAX: 1391MIN: 9 / MAX: 1755MIN: 13 / MAX: 2264MIN: 19 / MAX: 2252

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: 5127700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2468104.1433172.9641164.1679812.9634644.1613545.2127997.7808741. (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: 96000 - Buffer Size: 5127700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.94251.8852.82753.774.71252.9882092.1616873.0031912.1682262.9921013.7110854.1886771. (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: 192000 - Buffer Size: 5127700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.5451.091.6352.182.7251.9653311.4321061.9580331.4339631.9776492.4220282.1894491. (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: 10247700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2468104.2901693.0386444.3093783.0205144.2928425.3711738.4110541. (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: 480000 - Buffer Size: 5127700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2468104.0472932.9014534.0510682.9153864.0574565.0270597.5203491. (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: 96000 - Buffer Size: 10247700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X1.32462.64923.97385.29846.6233.1065762.2295543.1114222.2323233.0935083.9013515.8870841. (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: 192000 - Buffer Size: 10247700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.85691.71382.57073.42764.28452.0643581.4897602.0792771.4887052.0752872.5987023.8086421. (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: 480000 - Buffer Size: 10247700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2468104.1842352.9703824.1998502.9681274.1855035.2683667.5909261. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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: 07700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X306090120150116.79142.82117.11142.80116.5593.7272.101. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 27700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X153045607556.9867.8656.2967.4856.5546.2937.731. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 67700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2468105.3916.6945.4526.7565.4254.1423.2161. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6, Lossless7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X36912158.2529.9678.1949.9808.2966.7325.5331. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 10, Lossless7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.99411.98822.98233.97644.97053.9804.3763.9394.4184.0253.5763.3971. (CXX) g++ options: -O3 -fPIC -lm

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: defconfig7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2040608010078.4596.3578.9698.2878.5258.3043.41

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfig7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X300600900120015001014.481287.721022.511271.861009.37731.36516.26

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: 1B7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X81624324028.0733.1828.0133.2928.0623.0519.65

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 500M7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X4812162012.79315.07512.70915.17212.77410.7749.101

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: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.90661.81322.71983.62644.5333.240904.029503.256394.022363.224872.463881.73491MIN: 2.85MIN: 3.77MIN: 2.9MIN: 3.78MIN: 2.91MIN: 2.23MIN: 1.551. (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: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X1.00532.01063.01594.02125.02654.314704.451304.327004.468044.309913.176003.21319MIN: 4.14MIN: 4.36MIN: 4.15MIN: 4.41MIN: 4.15MIN: 3.12MIN: 3.171. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.16920.33840.50760.67680.8460.5994650.7518120.6001970.7515880.5983390.5837750.468351MIN: 0.55MIN: 0.73MIN: 0.55MIN: 0.73MIN: 0.55MIN: 0.54MIN: 0.381. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.22470.44940.67410.89881.12350.9583270.9960050.9514690.9988880.9523600.3617760.370900MIN: 0.86MIN: 0.93MIN: 0.85MIN: 0.94MIN: 0.85MIN: 0.34MIN: 0.321. (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: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.35590.71181.06771.42361.77951.2806401.5800401.2693401.5818701.2646601.1270700.677558MIN: 1.14MIN: 1.5MIN: 1.15MIN: 1.51MIN: 1.15MIN: 1.04MIN: 0.61. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.58471.16941.75412.33882.92352.459442.598672.499822.565342.463551.528281.54188MIN: 2.29MIN: 2.52MIN: 2.28MIN: 2.52MIN: 2.29MIN: 1.45MIN: 1.451. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2468107.668167.377727.651347.377967.625305.698085.59919MIN: 7.21MIN: 7.29MIN: 7.22MIN: 7.29MIN: 7.21MIN: 5.61MIN: 5.531. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X1.22382.44763.67144.89526.1194.410235.412524.391065.439184.387593.461523.14041MIN: 3.9MIN: 5.22MIN: 3.82MIN: 5.22MIN: 3.83MIN: 3.03MIN: 2.521. (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: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X1.20452.4093.61354.8186.02253.925995.353143.940375.344583.934363.391072.34460MIN: 3.77MIN: 5.3MIN: 3.73MIN: 5.3MIN: 3.78MIN: 3.3MIN: 2.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2468107.332877.072997.325017.097007.328295.209565.19324MIN: 6.98MIN: 7MIN: 6.99MIN: 6.99MIN: 7MIN: 5.13MIN: 5.141. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.23370.46740.70110.93481.16850.8095911.0386800.8107271.0351000.8074600.6174400.419833MIN: 0.74MIN: 1MIN: 0.74MIN: 1MIN: 0.74MIN: 0.56MIN: 0.41. (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: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.30570.61140.91711.22281.52850.9980441.3495401.0011901.3586301.0095700.8632190.582188MIN: 0.89MIN: 1.29MIN: 0.9MIN: 1.3MIN: 0.89MIN: 0.82MIN: 0.571. (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: f32 - Engine: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X60012001800240030002285.772897.042292.792896.032286.681659.311132.89MIN: 2261.61MIN: 2894.58MIN: 2263.98MIN: 2892.21MIN: 2256.78MIN: 1653.28MIN: 1126.661. (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: f32 - Engine: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X300600900120015001155.821451.111153.921451.111151.64844.74576.37MIN: 1133.25MIN: 1446.43MIN: 1131.1MIN: 1447.68MIN: 1130.25MIN: 841.12MIN: 571.991. (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: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X60012001800240030002291.852894.802284.922897.492278.551657.571141.29MIN: 2265.18MIN: 2890.45MIN: 2256.32MIN: 2893.89MIN: 2250.58MIN: 1652.65MIN: 1136.341. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.77191.54382.31573.08763.85953.359313.251993.358703.254253.430601.844061.75749MIN: 3.09MIN: 3.19MIN: 3.09MIN: 3.2MIN: 3.09MIN: 1.78MIN: 1.681. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X36912157.653529.375937.643699.361447.617225.575453.63050MIN: 7.01MIN: 8.99MIN: 7.01MIN: 9MIN: 6.91MIN: 5.15MIN: 3.491. (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: bf16bf16bf16 - Engine: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.74451.4892.23352.9783.72252.512523.296072.523063.308962.489032.131391.40804MIN: 2.17MIN: 3.13MIN: 2.34MIN: 3.16MIN: 2.35MIN: 2.04MIN: 1.361. (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: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X300600900120015001151.461452.021153.651450.691152.59843.76577.90MIN: 1123.59MIN: 1449.41MIN: 1128.34MIN: 1447.97MIN: 1130.21MIN: 839.84MIN: 572.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.36930.73861.10791.47721.84651.5503701.6413301.5340601.6414501.5496500.6567810.433981MIN: 1.41MIN: 1.62MIN: 1.41MIN: 1.62MIN: 1.41MIN: 0.61MIN: 0.421. (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: bf16bf16bf16 - Engine: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X60012001800240030002289.412899.282286.062894.492284.461654.841138.44MIN: 2259.17MIN: 2894.06MIN: 2264.7MIN: 2889.02MIN: 2257.76MIN: 1650.57MIN: 1134.811. (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: bf16bf16bf16 - Engine: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X300600900120015001153.471444.741151.661451.241152.56845.73584.27MIN: 1132.31MIN: 1431.65MIN: 1129.92MIN: 1448.94MIN: 1127.77MIN: 841.79MIN: 578.681. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.07070.14140.21210.28280.35350.2514480.3142920.2514550.3128360.2495840.1862800.129945MIN: 0.22MIN: 0.3MIN: 0.22MIN: 0.3MIN: 0.22MIN: 0.17MIN: 0.121. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.12330.24660.36990.49320.61650.4355940.5478450.4367350.5468830.4373870.3092790.209335MIN: 0.39MIN: 0.52MIN: 0.39MIN: 0.52MIN: 0.39MIN: 0.28MIN: 0.21. (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: MoVR - Concurrency: 1287700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X306090120150126.0125.8126.6125.4126.0125.9122.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 2567700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X306090120150126.0125.8125.8124.9126.0125.5122.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 5127700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X306090120150125.8125.8126.0124.9126.0125.8122.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 10247700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X306090120150125.9125.3125.9124.8125.9126.0122.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 1287700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X150030004500600075006822.36588.76681.16591.96691.27076.96757.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 2567700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X3K6K9K12K15K13643.913607.413882.313436.213932.614338.913554.1

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 5127700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X10K20K30K40K50K37385.932015.237644.832399.337365.943498.745991.3

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 1287700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X3K6K9K12K15K11876.411791.711773.911921.812170.412631.311997.0

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 2567700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X5K10K15K20K25K24449.823677.224135.423907.724038.625105.624264.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 5127700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X14K28K42K56K70K52083.844990.451227.644644.152032.157623.666871.1

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 1287700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X3K6K9K12K15K14919.715076.814780.914646.515227.814938.514664.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 2567700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X6K12K18K24K30K30245.729982.130242.829725.629807.530313.730094.3

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 5127700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X16K32K48K64K80K58043.349581.057896.549466.958739.964464.374346.9

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 1287700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X20K40K60K80K100K82802.866158.583774.066439.683763.694461.6109601.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 2567700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X30K60K90K120K150K81601.264003.981006.564029.981310.295980.3129868.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 5127700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X30K60K90K120K150K74659.357478.475589.857655.176191.393584.7117739.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 10247700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X14K28K42K56K70K47815.038603.047874.538259.748045.355906.265240.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 10247700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X20K40K60K80K100K55869.244158.455451.244302.156905.168221.783215.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 10247700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X20K40K60K80K100K58900.145748.058030.345832.659240.071172.691613.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 10247700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X20K40K60K80K100K68726.754217.368924.154323.069025.586491.7114820.8

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: AlexNet7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X4080120160200133.60114.99133.38114.80133.90154.19173.85

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: AlexNet7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X60120180240300179.11148.41178.79147.89178.52217.93260.05

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: AlexNet7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X70140210280350210.78170.35211.48170.53211.78273.82344.54

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: GoogLeNet7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X30609012015097.2480.0197.0280.0297.19117.74143.32

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: ResNet-507700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X102030405032.3527.4532.3227.4532.3536.9242.65

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: GoogLeNet7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X30609012015095.7379.1595.8879.0495.75118.97145.59

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: ResNet-507700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X102030405032.1927.2832.2127.2532.2437.7844.24

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: GoogLeNet7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X30609012015094.3178.3694.3978.4294.47117.35143.40

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: ResNet-507700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X102030405031.9027.0431.9027.0331.9137.6944.59

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X36912156.10934.74986.13244.74536.10998.652812.5384

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X150300450600750651.88631.60652.21632.14651.36693.07635.51

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X36912156.10044.71776.09354.71946.09868.046611.6359

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X50100150200250163.92211.96164.10211.89163.97124.2785.94

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2040608010057.3348.6157.3447.7156.9582.2497.80

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2040608010069.7561.7069.7562.8770.2272.9381.77

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X142842567058.7845.6658.5945.7858.7354.9964.74

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X51015202517.0121.9017.0621.8417.0218.1815.44

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X30609012015060.7149.2961.6849.5761.4186.97115.00

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X153045607565.8460.8364.8260.4765.0968.9469.44

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2040608010054.4842.9454.6142.5454.6565.0178.10

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X61218243018.3523.2818.3023.5018.2915.3712.79

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X60120180240300145.89113.64145.76113.89145.87204.98295.18

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X71421283527.4126.3927.4326.3327.4129.2527.09

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X4080120160200123.6385.18123.6285.33123.84133.21203.36

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X36912158.081511.73328.083411.71258.06917.50164.9123

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X408012016020091.4271.4191.7571.3092.38128.59182.40

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X112233445543.7442.0043.5842.0743.2946.6543.85

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X30609012015079.8463.7880.1363.9280.3893.19113.11

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X4812162012.520015.675312.475515.640312.436210.72598.8369

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2040608010045.7535.5145.7235.7246.0963.2594.95

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2040608010087.4284.4587.4983.9986.7894.8284.24

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X132639526539.8332.1839.9932.0739.9947.4060.09

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X71421283525.1031.0725.0031.1825.0021.0916.64

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X36912156.12124.74746.12714.74916.12558.670712.5601

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X150300450600750652.93631.91652.43631.69652.55691.47633.82

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X36912156.11324.72326.09264.73266.09878.047211.6325

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X50100150200250163.58211.72164.13211.30163.97124.2685.96

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_lg7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X4K8K12K16K20K19266188741940718863194831949619800

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_trf7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X40080012001600200010308481059857104113931806

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-Only7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X306090120150104.24134.76103.86135.95104.0076.3449.54

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: CPU-Only7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X80160240320400272.67357.43273.02356.45272.85200.26130.33

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-Only7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X4080120160200135.09173.74134.71173.33134.8398.9964.40

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: CPU-Only7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X30060090012001500990.051287.74987.281286.07987.22713.99470.30

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: CPU-Only7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X90180270360450334.93433.05334.87434.11335.74245.37159.21

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: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X481216206.875.326.885.406.899.3414.361. (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: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X160320480640800581.03747.16580.85737.37579.40640.67554.95MIN: 426.35 / MAX: 612.84MIN: 702.8 / MAX: 764.81MIN: 540.23 / MAX: 609.84MIN: 711.8 / MAX: 751.48MIN: 295.45 / MAX: 610.9MIN: 582.42 / MAX: 667.21MIN: 524.6 / MAX: 612.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2468103.883.073.893.083.885.247.601. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X300600900120015001026.951299.351026.041293.551026.821140.441045.76MIN: 817.31 / MAX: 1127.04MIN: 1211.98 / MAX: 1428.07MIN: 926.38 / MAX: 1134.19MIN: 1064.48 / MAX: 1430.27MIN: 885.32 / MAX: 1127.92MIN: 761.08 / MAX: 1262.9MIN: 892.85 / MAX: 1274.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2468103.823.013.933.033.925.257.591. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X300600900120015001039.301319.701013.261312.651017.441137.541048.95MIN: 870.74 / MAX: 1145.29MIN: 748.58 / MAX: 1432.8MIN: 678.12 / MAX: 1133.16MIN: 769.61 / MAX: 1437.48MIN: 748.93 / MAX: 1133.32MIN: 906.91 / MAX: 1301.86MIN: 661.91 / MAX: 1252.571. (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 - Device: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X160320480640800491.47370.07492.60369.51489.86683.30762.161. (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: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X36912158.1310.808.1110.828.168.7710.49MIN: 4.17 / MAX: 23.81MIN: 5.27 / MAX: 12.56MIN: 4.87 / MAX: 21.23MIN: 4.85 / MAX: 20.72MIN: 3.91 / MAX: 45.74MIN: 7.17 / MAX: 17.28MIN: 4.87 / MAX: 19.491. (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: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X71421283513.5910.3613.6010.3013.6118.3128.271. (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: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X80160240320400293.92386.14293.72388.02293.62327.19282.77MIN: 165.51 / MAX: 311.01MIN: 369.36 / MAX: 391.28MIN: 175.59 / MAX: 313.02MIN: 377.53 / MAX: 392.13MIN: 253.44 / MAX: 312.74MIN: 305.59 / MAX: 336.37MIN: 272.65 / MAX: 321.951. (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: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X400800120016002000878.78684.78878.34674.50879.951180.301851.751. (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: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X1.3322.6643.9965.3286.664.555.844.555.924.545.084.31MIN: 2.79 / MAX: 18.02MIN: 3.64 / MAX: 14.42MIN: 3.21 / MAX: 16.73MIN: 3.72 / MAX: 14.13MIN: 2.81 / MAX: 17.51MIN: 3.14 / MAX: 13.29MIN: 2.7 / MAX: 13.221. (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 - Device: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X30060090012001500687.65527.78686.80524.80688.94931.521446.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2468105.817.575.827.615.806.445.52MIN: 3.04 / MAX: 18.38MIN: 6.66 / MAX: 10.78MIN: 3.04 / MAX: 18.04MIN: 3.98 / MAX: 15.67MIN: 3.02 / MAX: 17.77MIN: 3.32 / MAX: 13.96MIN: 2.89 / MAX: 13.871. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X30609012015080.4660.1981.2059.5481.2099.46134.331. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X153045607549.6866.4249.2467.1549.2460.2859.51MIN: 38.53 / MAX: 67.8MIN: 32.92 / MAX: 70.79MIN: 28.96 / MAX: 62.2MIN: 35.88 / MAX: 70.78MIN: 28.16 / MAX: 61.14MIN: 49.85 / MAX: 73.62MIN: 30.43 / MAX: 93.611. (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: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X60012001800240030001368.561054.541366.981056.831368.711858.442903.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X2468105.845.695.855.675.846.455.51MIN: 4.03 / MAX: 8.34MIN: 3.01 / MAX: 14.04MIN: 3.19 / MAX: 18.82MIN: 3.16 / MAX: 13.24MIN: 3.18 / MAX: 18.11MIN: 3.63 / MAX: 14.04MIN: 3.02 / MAX: 13.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X400800120016002000819.92701.42815.54700.57821.751119.551703.891. (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: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X1.28252.5653.84755.136.41254.875.704.905.704.865.354.69MIN: 3.89 / MAX: 9.44MIN: 4.69 / MAX: 7.25MIN: 3.95 / MAX: 17.52MIN: 4.26 / MAX: 14.33MIN: 3.92 / MAX: 7.26MIN: 3.97 / MAX: 8.07MIN: 3.81 / MAX: 10.731. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X10K20K30K40K50K21138.0316542.8721216.5316447.6521093.5527745.5644954.591. (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 - Device: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.09680.19360.29040.38720.4840.380.360.370.360.380.430.35MIN: 0.23 / MAX: 12.7MIN: 0.22 / MAX: 2.91MIN: 0.23 / MAX: 12.52MIN: 0.22 / MAX: 36.45MIN: 0.23 / MAX: 12.99MIN: 0.25 / MAX: 8.27MIN: 0.22 / MAX: 8.031. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X6K12K18K24K30K12463.149515.2912465.679620.2612492.0316732.8826078.961. (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: CPU7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X0.15980.31960.47940.63920.7990.640.630.640.620.640.710.61MIN: 0.36 / MAX: 12.64MIN: 0.35 / MAX: 8.21MIN: 0.36 / MAX: 12.08MIN: 0.35 / MAX: 9.23MIN: 0.35 / MAX: 12.85MIN: 0.38 / MAX: 8.93MIN: 0.35 / MAX: 8.791. (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.

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.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 207700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 770020K40K60K80K100K89008.0668924.1988942.4369725.0288360.221. (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.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1007700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X40K80K120K160K200K101450.6781219.42101913.0481313.15101332.71131511.71197728.821. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 2007700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X40K80K120K160K200K100430.7979667.0899945.5179438.6599842.90129714.87194668.201. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 5007700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X40K80K120K160K200K93940.1374959.9894196.1574915.6094163.54124644.27177431.301. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 10007700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X30K60K90K120K150K89650.7671972.1289489.3371894.8989648.15116337.68149355.731. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 4000Ryzen 5 7600Ryzen 7 7700Ryzen 760020K40K60K80K100K71632.4887991.4171432.571. (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.

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 kbps7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X71421283526.8128.4126.9228.4826.9125.4726.07

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 6 kbps7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X71421283527.0228.3527.0028.6827.4425.3726.35

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 24 kbps7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X81624324031.2532.9531.2233.6231.5529.1330.45

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 1.5 kbps7700Ryzen 5 7600Ryzen 7 7700Ryzen 7600Ryzen 7700Ryzen 9 7900Ryzen 9 7950X61218243025.6627.0925.5427.3725.9224.3025.22

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 5 7600Ryzen 760040K80K120K160K200K1736891722971. (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

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 5 7600Ryzen 760071421283529.5829.50

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: MediumRyzen 5 7600Ryzen 760081624324033.1533.01

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Very FastRyzen 5 7600Ryzen 76002040608010085.9385.80

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Super FastRyzen 5 7600Ryzen 76002040608010090.6790.56

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Ultra FastRyzen 5 7600Ryzen 760020406080100108.63108.23

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: SlowRyzen 5 7600Ryzen 76001.32082.64163.96245.28326.6045.875.87

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumRyzen 5 7600Ryzen 76002468106.616.59

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastRyzen 5 7600Ryzen 760051015202519.5119.61

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastRyzen 5 7600Ryzen 760051015202520.7820.71

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastRyzen 5 7600Ryzen 760061218243025.1825.15

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: SlowRyzen 5 7600Ryzen 7600112233445546.3846.371. (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: MediumRyzen 5 7600Ryzen 7600112233445547.8847.761. (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: Very FastRyzen 5 7600Ryzen 760020406080100104.23103.551. (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 5 7600Ryzen 7600306090120150128.89128.931. (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: Ultra FastRyzen 5 7600Ryzen 76004080120160200172.40171.871. (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: SlowRyzen 5 7600Ryzen 760036912159.459.461. (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 5 7600Ryzen 760036912159.659.631. (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: Very FastRyzen 5 7600Ryzen 760061218243024.4924.421. (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 5 7600Ryzen 760071421283530.5630.551. (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 5 7600Ryzen 7600102030405041.9041.821. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

198 Results Shown

miniBUDE:
  OpenMP - BM1:
    GFInst/s
    Billion Interactions/s
nekRS
OpenFOAM:
  drivaerFastback, Small Mesh Size - Mesh Time
  drivaerFastback, Small Mesh Size - Execution Time
OpenRadioss:
  Bumper Beam
  Cell Phone Drop Test
  Bird Strike on Windshield
  Rubber O-Ring Seal Installation
  INIVOL and Fluid Structure Interaction Drop Container
Xmrig:
  Monero - 1M
  Wownero - 1M
JPEG XL libjxl:
  PNG - 80
  PNG - 90
  JPEG - 80
  JPEG - 90
  PNG - 100
  JPEG - 100
JPEG XL Decoding libjxl:
  1
  All
QuadRay:
  1 - 4K
  2 - 4K
  3 - 4K
  5 - 4K
  1 - 1080p
  2 - 1080p
  3 - 1080p
  5 - 1080p
SVT-AV1:
  Preset 4 - Bosphorus 4K
  Preset 8 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
  Preset 13 - Bosphorus 4K
  Preset 4 - Bosphorus 1080p
  Preset 8 - Bosphorus 1080p
  Preset 12 - Bosphorus 1080p
  Preset 13 - Bosphorus 1080p
OpenVKL:
  vklBenchmark ISPC
  vklBenchmark Scalar
Stargate Digital Audio Workstation:
  44100 - 512
  96000 - 512
  192000 - 512
  44100 - 1024
  480000 - 512
  96000 - 1024
  192000 - 1024
  480000 - 1024
libavif avifenc:
  0
  2
  6
  6, Lossless
  10, Lossless
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Y-Cruncher:
  1B
  500M
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  IP Shapes 1D - bf16bf16bf16 - CPU
  IP Shapes 3D - bf16bf16bf16 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Convolution Batch Shapes Auto - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU
CockroachDB:
  MoVR - 128
  MoVR - 256
  MoVR - 512
  MoVR - 1024
  KV, 10% Reads - 128
  KV, 10% Reads - 256
  KV, 10% Reads - 512
  KV, 50% Reads - 128
  KV, 50% Reads - 256
  KV, 50% Reads - 512
  KV, 60% Reads - 128
  KV, 60% Reads - 256
  KV, 60% Reads - 512
  KV, 95% Reads - 128
  KV, 95% Reads - 256
  KV, 95% Reads - 512
  KV, 10% Reads - 1024
  KV, 50% Reads - 1024
  KV, 60% Reads - 1024
  KV, 95% Reads - 1024
TensorFlow:
  CPU - 16 - AlexNet
  CPU - 32 - AlexNet
  CPU - 64 - AlexNet
  CPU - 16 - GoogLeNet
  CPU - 16 - ResNet-50
  CPU - 32 - GoogLeNet
  CPU - 32 - ResNet-50
  CPU - 64 - GoogLeNet
  CPU - 64 - ResNet-50
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Stream:
    items/sec
    ms/batch
  CV Detection,YOLOv5s COCO - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Detection,YOLOv5s COCO - Synchronous Single-Stream:
    items/sec
    ms/batch
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream:
    items/sec
    ms/batch
spaCy:
  en_core_web_lg
  en_core_web_trf
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
  Pabellon Barcelona - CPU-Only
OpenVINO:
  Face Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP32 - CPU:
    FPS
    ms
  Vehicle Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
nginx:
  20
  100
  200
  500
  1000
  4000
EnCodec:
  3 kbps
  6 kbps
  24 kbps
  1.5 kbps
BRL-CAD
uvg266:
  Bosphorus 1080p - Slow
  Bosphorus 1080p - Medium
  Bosphorus 1080p - Very Fast
  Bosphorus 1080p - Super Fast
  Bosphorus 1080p - Ultra Fast
  Bosphorus 4K - Slow
  Bosphorus 4K - Medium
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Super Fast
  Bosphorus 4K - Ultra Fast
Kvazaar:
  Bosphorus 1080p - Slow
  Bosphorus 1080p - Medium
  Bosphorus 1080p - Very Fast
  Bosphorus 1080p - Super Fast
  Bosphorus 1080p - Ultra Fast
  Bosphorus 4K - Slow
  Bosphorus 4K - Medium
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Super Fast
  Bosphorus 4K - Ultra Fast