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

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AMD Ryzen Non-X benchmarks new cpusProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionRyzen 9 7950XRyzen 9 7900Ryzen 7 77007700Ryzen 7700Ryzen 7600Ryzen 5 7600AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR X670E HERO (0805 BIOS)AMD Device 14d832GB2000GB Samsung SSD 980 PRO 2TB + 257GB Flash DriveAMD Radeon RX 6750 XT 12GB (2880/1124MHz)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 9 7900 12-Core @ 5.48GHz (12 Cores / 24 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 Radeon RX 6800 XT 16GB (2575/1000MHz)AMD Ryzen 5 7600 6-Core @ 5.17GHz (6 Cores / 12 Threads)2000GB Samsung SSD 980 PRO 2TBOpenBenchmarking.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- Ryzen 9 7950X: Scaling Governor: amd-pstate schedutil (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 9 7900: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 7 7700: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- 7700: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 7700: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 7600: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 5 7600: Scaling Governor: amd-pstate performance (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

Ryzen 9 7950XRyzen 9 7900Ryzen 7 77007700Ryzen 7700Ryzen 7600Ryzen 5 7600Result 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 cpusbuild-linux-kernel: allmodconfigblender: Barbershop - CPU-Onlybrl-cad: VGR Performance Metricopenradioss: INIVOL and Fluid Structure Interaction Drop Containernekrs: TurboPipe Periodicopenvkl: vklBenchmark ISPCopenvkl: vklBenchmark Scalarblender: Pabellon Barcelona - CPU-Onlyjpegxl: JPEG - 100openfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeblender: Classroom - CPU-Onlyopenradioss: Bird Strike on Windshieldjpegxl: PNG - 100tensorflow: CPU - 64 - ResNet-50blender: Fishy Cat - CPU-Onlyopenradioss: Bumper Beamopenradioss: Rubber O-Ring Seal Installationxmrig: Monero - 1Mavifenc: 0tensorflow: CPU - 32 - ResNet-50cockroach: KV, 10% Reads - 1024cockroach: KV, 60% Reads - 1024cockroach: KV, 50% Reads - 1024cockroach: KV, 95% Reads - 1024cockroach: KV, 50% Reads - 512cockroach: KV, 60% Reads - 512cockroach: KV, 95% Reads - 512cockroach: KV, 10% Reads - 512cockroach: KV, 10% Reads - 256cockroach: KV, 60% Reads - 256cockroach: KV, 95% Reads - 256cockroach: KV, 50% Reads - 256cockroach: KV, 50% Reads - 128cockroach: KV, 60% Reads - 128cockroach: KV, 10% Reads - 128cockroach: KV, 95% Reads - 128jpegxl: JPEG - 80jpegxl: PNG - 80uvg266: Bosphorus 4K - Slowblender: BMW27 - CPU-Onlycockroach: MoVR - 256cockroach: MoVR - 1024cockroach: MoVR - 128cockroach: MoVR - 512xmrig: Wownero - 1Muvg266: Bosphorus 4K - Mediumnginx: 1000nginx: 500nginx: 200nginx: 100nginx: 20stargate: 192000 - 512openradioss: Cell Phone Drop Testjpegxl: JPEG - 90jpegxl: PNG - 90onednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUstargate: 192000 - 1024onednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUbuild-linux-kernel: defconfigtensorflow: CPU - 64 - GoogLeNetspacy: en_core_web_trfspacy: en_core_web_lgkvazaar: Bosphorus 4K - Slowopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUkvazaar: Bosphorus 4K - Mediumopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUtensorflow: CPU - 16 - ResNet-50stargate: 96000 - 512avifenc: 2stargate: 96000 - 1024deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamsvt-av1: Preset 4 - Bosphorus 4Kdeepsparse: 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 Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamstargate: 480000 - 512deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - 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-Streamstargate: 44100 - 512stargate: 480000 - 1024jpegxl-decode: 1nginx: 4000stargate: 44100 - 1024tensorflow: CPU - 32 - GoogLeNetdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamtensorflow: CPU - 64 - AlexNetencodec: 24 kbpsuvg266: Bosphorus 4K - Very Fasty-cruncher: 1Buvg266: Bosphorus 4K - Super Fastminibude: OpenMP - BM1minibude: OpenMP - BM1encodec: 6 kbpsencodec: 3 kbpsencodec: 1.5 kbpskvazaar: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Ultra Fastonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUjpegxl-decode: Alltensorflow: CPU - 32 - AlexNetuvg266: Bosphorus 1080p - Slowquadray: 5 - 4Ktensorflow: CPU - 16 - GoogLeNetkvazaar: Bosphorus 4K - Super Fastquadray: 3 - 4Kquadray: 2 - 4Kquadray: 1 - 4Kquadray: 5 - 1080pquadray: 2 - 1080pquadray: 3 - 1080pquadray: 1 - 1080puvg266: Bosphorus 1080p - Mediumonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUtensorflow: CPU - 16 - AlexNetkvazaar: Bosphorus 4K - Ultra Fastsvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 4Ky-cruncher: 500Mkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUavifenc: 6, Losslessuvg266: Bosphorus 1080p - Very Fastuvg266: Bosphorus 1080p - Super Fastonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUkvazaar: Bosphorus 1080p - Very Fastuvg266: Bosphorus 1080p - Ultra Fastavifenc: 6svt-av1: Preset 8 - Bosphorus 1080pkvazaar: Bosphorus 1080p - Super Fastsvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Kavifenc: 10, Losslesskvazaar: Bosphorus 1080p - Ultra Fastonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUsvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080psmhasher: wyhashRyzen 9 7950XRyzen 9 7900Ryzen 7 77007700Ryzen 7700Ryzen 7600Ryzen 5 7600516.255470.3286.1971314200000344175159.210.92162.8275622.570834130.33165.90.9944.5964.488.163.1813104.372.09544.2465240.291613.283215.6114820.866871.174346.9117739.245991.313554.130094.3129868.624264.21199714664.66757.6109601.211.912.1749.54122.8122.8122.8122.220480.9149355.73177431.3194668.2197728.822.18944954.9811.6412.021132.891141.291138.443.808642577.904584.274576.36943.41143.41806198001045.767.61048.957.59554.9514.36282.7728.2759.51134.334.691703.894.311851.7510.49762.165.521446.820.3544954.595.512903.280.6126078.9642.654.18867737.7255.887084635.508212.5384633.81512.560184.237894.95345.12881.770897.80185.936311.635985.962111.632516.637560.08987.52034943.8473182.395515.441764.73647.7808747.59092670.458.411054145.5927.0898295.178169.4434115.00448.8369113.110212.794278.09884.9123203.3551344.5430.44819.64756.8631421.57826.34526.07325.2173.63053.140410.419833267.23260.052.1143.326.537.4826.478.3828.625.01103.211.734910.4683510.677558173.8511.9166.4169.1010.2093350.4339810.1299453.213191.541880.37095.5335.193245.599191.757493.216174.404198.497197.3973.3972.34461.408040.582188578.976518.175731.362713.99351.0666601000000278135245.370.93175.0657226.423261200.26201.841.0237.6998.99104.2884.431327993.7237.7855906.271172.668221.786491.757623.664464.393584.743498.714338.930313.795980.325105.612631.314938.57076.994461.612.5712.8876.34125.5126125.9125.814345.3116337.68124644.27129714.87131511.712.42202869.1912.3612.711659.311657.571654.842.598702843.757845.732844.73558.295117.351393194961140.445.241137.545.25640.679.34327.1918.3160.2899.465.351119.555.081180.38.77683.36.44931.520.4327745.566.451858.440.7116732.8836.923.71108546.2873.901351693.07028.6528691.46858.670794.815363.24674.51172.930682.2399124.27078.0466124.26238.047221.092547.4015.02705946.6464128.588418.179554.99115.2127995.26836674.175.371173118.9729.2496204.983768.936886.973510.725993.192315.374165.00787.5016133.2117273.8229.12623.04736.599914.96425.3725.46924.2965.575453.461520.61744212.74217.931.31117.744.054.7517.165.2317.715.7265.92.463880.5837751.12707154.1913.66357.16210.7740.3092790.6567810.186283.1761.528280.3617766.7325.209565.698081.844064.142161.1185.429192.6893.5763.391072.131390.863219685.384739.0281022.513987.28504.925546120000020698334.870.89254.9280131.599213273.02260.880.9331.9134.71127.32127.817820.9117.10832.2147874.558030.355451.268924.151227.657896.575589.837644.813882.330242.881006.524135.411773.914780.96681.18377411.4211.71103.86125.8125.9126.612610175.589489.3394196.1599945.51101913.0488942.431.95803385.1411.2411.522292.792284.922286.062.0792771153.651151.661153.9278.96294.391059194071026.043.891013.263.93580.856.88293.7213.649.2481.24.9815.544.55878.348.11492.65.82686.80.3721216.535.851366.980.6412465.6732.323.00319156.2863.111422652.2146.1324652.43246.127187.485545.7163.66369.747557.3378164.10146.0935164.12696.092625.001639.98844.05106843.584491.753717.062658.5854.1679814.1998567.9887991.414.30937895.8827.4305145.760164.81761.677812.475580.127518.303354.60688.0834123.6187211.4831.22428.01127.045676.1162726.91925.5437.643694.391060.810727320.94178.790.9897.023.063.613.113.8813.5711.8450.913.256390.6001971.26934133.3812.04145.41212.7090.4367351.534060.2514554.3272.499820.9514698.1947.325017.651343.35875.452128.872151.27160.8683.9393.940372.523061.00119609.385664.2231014.481990.05506.575560060000020698334.930.84254.5783531.767916272.67260.350.9631.9135.09126.93127.847707.5116.7932.194781558900.155869.268726.752083.858043.374659.337385.913643.930245.781601.224449.811876.414919.76822.382802.811.611.89104.24126125.9126125.810209.289650.7693940.13100430.79101450.6789008.061.96533185.0811.3811.692285.772291.852289.412.0643581151.461153.471155.8278.45294.311030192661026.953.881039.33.82581.036.87293.9213.5949.6880.464.87819.924.55878.788.13491.475.81687.650.3821138.035.841368.560.6412463.1432.352.98820956.9753.106576651.87886.1093652.93356.121287.416345.75193.65769.754257.3319163.91846.1004163.57536.113225.101339.82714.04729343.742891.421717.007258.77864.1433174.18423568.714.29016995.7327.4054145.892965.841160.712612.5279.837118.346254.48328.0815123.6328210.7831.25228.06627.208680.19327.02226.80525.6577.653524.410230.809591333.4179.110.9197.243.073.5913.153.6113.7911.8550.783.24090.5994651.28064133.612.10645.56312.7930.4355941.550370.2514484.31472.459440.9583278.2527.332877.668163.359315.391130.473149.97160.943.983.925992.512520.998044609.208667.1191009.37987.22506.695555150000020798335.740.85254.3990731.512596272.85263.430.9731.91134.83127.24128.67918.4116.55232.2448045.35924056905.169025.552032.158739.976191.337365.913932.629807.581310.224038.612170.415227.86691.283763.611.5611.89104126125.912612610245.489648.1594163.5499842.9101332.7188360.221.97764984.9111.3911.682286.682278.552284.462.0752871152.591152.561151.6478.52294.471041194831026.823.881017.443.92579.46.89293.6213.6149.2481.24.86821.754.54879.958.16489.865.8688.940.3821093.555.841368.710.6412492.0332.352.99210156.5453.093508651.36086.1099652.54716.125586.782346.08633.68170.215156.9508163.96566.0986163.9656.098724.999539.9924.05745643.29192.375517.0258.73254.1613544.18550368.144.29284295.7527.4103145.866365.090361.412512.436280.380818.287954.65278.0691123.838211.7831.55328.0627.164679.09227.44226.91325.9237.617224.387590.80746325.78178.520.9897.193.073.613.13.9213.7611.8951.073.224870.5983391.26466133.911.99645.66212.7740.4373871.549650.2495844.309912.463550.952368.2967.328297.62533.43065.425130.368150.845161.2254.0253.934362.489031.00957611.459667.5661271.8581286.07172297574.634955520000016377434.110.79275.6545335.464357356.45315.290.9727.03173.33140.57155.077284.3142.827.2538259.745832.644302.15432344644.149466.957655.132399.313436.229725.664029.923907.711921.814646.56591.966439.610.6910.995.87135.95124.9124.8125.4124.97979.86.5971894.8974915.679438.6581313.1569725.021.433963104.8810.510.82896.032897.492894.491.4887051450.691451.241451.1198.28478.42857188639.461293.553.081312.653.03737.375.49.63388.0210.367.1559.545.7700.575.92674.510.82369.517.61524.80.3616447.655.671056.830.629620.2627.452.16822667.4812.232323632.13854.7453631.69134.749183.985835.71593.06262.86547.7103211.88544.7194211.29514.732631.176132.07162.91538642.066771.297921.839545.7772.9634642.96812766.1971432.573.02051479.0426.3291113.890260.474749.568815.640363.920323.497142.544411.712585.3331170.5333.61619.6133.28920.7120.752518.80728.68128.47527.36724.4225.159.361445.439181.0351301.94147.8929.50.7680.0230.552.432.7810.343.0610.879.4740.5933.014.022360.7515881.58187114.841.8210.28736.89515.17246.3747.760.5468831.641450.3128364.468042.565340.9988889.9885.890.567.0977.377963.25425103.55108.236.756105.584128.93126.843137.3164.418171.875.344583.308961.35863520.469575.0141287.7171287.74173689576.54909970000016377433.050.79275.457635.667484357.43316.730.9627.04173.74140.23154.847111.3142.82327.28386034574844158.454217.344990.44958157478.432015.213607.429982.164003.923677.211791.715076.86588.766158.510.8411.145.87134.76125.8125.3125.8125.87963.26.6171972.1274959.9879667.0881219.4268924.191.432106104.8710.6310.952897.042894.82899.281.489761452.021444.741451.1196.3578.36848188749.451299.353.071319.73.01747.165.329.65386.1410.3666.4260.195.7701.425.84684.7810.8370.077.57527.780.3616542.875.691054.540.639515.2927.452.16168767.8612.229554631.59674.7498631.91214.747484.454935.51243.03561.695848.6142211.96164.7177211.7154.723231.068732.18252.90145342.002171.407721.895545.65862.9641162.97038266.4171632.483.03864479.1526.3865113.641660.829449.289315.675363.77823.282942.93611.733285.1838170.3532.94719.5133.17920.7820.794519.8528.35128.41127.09224.4925.189.375935.412521.03868304.47148.4129.580.7780.0130.562.422.8210.323.0710.759.3640.5133.154.02950.7518121.58004114.9941.910.3437.02315.07546.3847.880.5478451.641330.3142924.45132.598670.9960059.96785.9390.677.072997.377723.25199104.23108.636.694106.311128.89126.653135.0934.376172.45.353143.296071.34954523.708577.569OpenBenchmarking.org

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X300600900120015001287.721271.861009.371014.481022.51731.36516.26

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: CPU-OnlyRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X300600900120015001287.741286.07987.22990.05987.28713.99470.30

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

OpenRadioss

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: INIVOL and Fluid Structure Interaction Drop ContainerRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X120240360480600576.50574.63506.69506.57504.92351.06286.19

nekRS

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

OpenBenchmarking.orgFLOP/s, More Is BetternekRS 22.0Input: TurboPipe PeriodicRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X15000M30000M45000M60000M75000M490997000004955520000055551500000556006000005546120000066601000000713142000001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -lmpi_cxx -lmpi

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X70140210280350163163207206206278344MIN: 21 / MAX: 2129MIN: 21 / MAX: 2137MIN: 27 / MAX: 2580MIN: 27 / MAX: 2575MIN: 27 / MAX: 2543MIN: 38 / MAX: 3234MIN: 55 / MAX: 2868

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ScalarRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X40801201602007777989898135175MIN: 7 / MAX: 1390MIN: 7 / MAX: 1391MIN: 9 / MAX: 1755MIN: 9 / MAX: 1756MIN: 9 / MAX: 1750MIN: 13 / MAX: 2264MIN: 19 / MAX: 2252

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: CPU-OnlyRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X90180270360450433.05434.11335.74334.93334.87245.37159.21

JPEG XL libjxl

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

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 100Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.20930.41860.62790.83721.04650.790.790.850.840.890.930.921. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenFOAM

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X60120180240300275.46275.65254.40254.58254.93175.07162.831. (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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X81624324035.6735.4631.5131.7731.6026.4222.571. (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

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: CPU-OnlyRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X80160240320400357.43356.45272.85272.67273.02200.26130.33

OpenRadioss

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bird Strike on WindshieldRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X70140210280350316.73315.29263.43260.35260.88201.84165.90

JPEG XL libjxl

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

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 100Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.22950.4590.68850.9181.14750.960.970.970.960.931.020.991. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: ResNet-50Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X102030405027.0427.0331.9131.9031.9037.6944.59

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-OnlyRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4080120160200173.74173.33134.83135.09134.7198.9964.40

OpenRadioss

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bumper BeamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150140.23140.57127.24126.93127.32104.2888.10

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Rubber O-Ring Seal InstallationRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150154.84155.07128.60127.84127.8184.4363.18

Xmrig

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

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X3K6K9K12K15K7111.37284.37918.47707.57820.913279.013104.31. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 0Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150142.82142.80116.55116.79117.1193.7272.101. (CXX) g++ options: -O3 -fPIC -lm

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: ResNet-50Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X102030405027.2827.2532.2432.1932.2137.7844.24

CockroachDB

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

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 1024Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X14K28K42K56K70K38603.038259.748045.347815.047874.555906.265240.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 1024Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X20K40K60K80K100K45748.045832.659240.058900.158030.371172.691613.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 1024Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X20K40K60K80K100K44158.444302.156905.155869.255451.268221.783215.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 1024Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X20K40K60K80K100K54217.354323.069025.568726.768924.186491.7114820.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 512Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X14K28K42K56K70K44990.444644.152032.152083.851227.657623.666871.1

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 512Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X16K32K48K64K80K49581.049466.958739.958043.357896.564464.374346.9

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 512Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X30K60K90K120K150K57478.457655.176191.374659.375589.893584.7117739.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 512Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X10K20K30K40K50K32015.232399.337365.937385.937644.843498.745991.3

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 256Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X3K6K9K12K15K13607.413436.213932.613643.913882.314338.913554.1

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 256Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X6K12K18K24K30K29982.129725.629807.530245.730242.830313.730094.3

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 256Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X30K60K90K120K150K64003.964029.981310.281601.281006.595980.3129868.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 256Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X5K10K15K20K25K23677.223907.724038.624449.824135.425105.624264.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 128Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X3K6K9K12K15K11791.711921.812170.411876.411773.912631.311997.0

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 128Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X3K6K9K12K15K15076.814646.515227.814919.714780.914938.514664.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 128Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X150030004500600075006588.76591.96691.26822.36681.17076.96757.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 128Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X20K40K60K80K100K66158.566439.683763.682802.883774.094461.6109601.2

JPEG XL libjxl

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

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 80Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X369121510.8410.6911.5611.6011.4212.5711.901. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 80Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X369121511.1410.9911.8911.8911.7112.8812.171. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

uvg266

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

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

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: CPU-OnlyRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150134.76135.95104.00104.24103.8676.3449.54

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: 256Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150125.8124.9126.0126.0125.8125.5122.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 1024Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150125.3124.8125.9125.9125.9126.0122.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 128Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150125.8125.4126.0126.0126.6125.9122.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 512Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150125.8124.9126.0125.8126.0125.8122.2

Xmrig

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

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4K8K12K16K20K7963.27979.810245.410209.210175.514345.320480.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

uvg266

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

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

nginx

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

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X30K60K90K120K150K71972.1271894.8989648.1589650.7689489.33116337.68149355.731. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X40K80K120K160K200K74959.9874915.6094163.5493940.1394196.15124644.27177431.301. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 200Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X40K80K120K160K200K79667.0879438.6599842.90100430.7999945.51129714.87194668.201. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 100Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X40K80K120K160K200K81219.4281313.15101332.71101450.67101913.04131511.71197728.821. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 20Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 770020K40K60K80K100K68924.1969725.0288360.2289008.0688942.431. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Connections: 20

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

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

Stargate Digital Audio Workstation

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

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 512Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.5451.091.6352.182.7251.4321061.4339631.9776491.9653311.9580332.4220282.1894491. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenRadioss

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Cell Phone Drop TestRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X20406080100104.87104.8884.9185.0885.1469.1954.98

JPEG XL libjxl

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

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 90Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X369121510.6310.5011.3911.3811.2412.3611.641. (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: 90Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X369121510.9510.8011.6811.6911.5212.7112.021. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X60012001800240030002897.042896.032286.682285.772292.791659.311132.89MIN: 2894.58MIN: 2892.21MIN: 2256.78MIN: 2261.61MIN: 2263.98MIN: 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 Training - Data Type: u8s8f32 - Engine: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X60012001800240030002894.802897.492278.552291.852284.921657.571141.29MIN: 2890.45MIN: 2893.89MIN: 2250.58MIN: 2265.18MIN: 2256.32MIN: 1652.65MIN: 1136.341. (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: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X60012001800240030002899.282894.492284.462289.412286.061654.841138.44MIN: 2894.06MIN: 2889.02MIN: 2257.76MIN: 2259.17MIN: 2264.7MIN: 1650.57MIN: 1134.811. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Stargate Digital Audio Workstation

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

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.85691.71382.57073.42764.28451.4897601.4887052.0752872.0643582.0792772.5987023.8086421. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X300600900120015001452.021450.691152.591151.461153.65843.76577.90MIN: 1449.41MIN: 1447.97MIN: 1130.21MIN: 1123.59MIN: 1128.34MIN: 839.84MIN: 572.81. (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: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X300600900120015001444.741451.241152.561153.471151.66845.73584.27MIN: 1431.65MIN: 1448.94MIN: 1127.77MIN: 1132.31MIN: 1129.92MIN: 841.79MIN: 578.681. (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: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X300600900120015001451.111451.111151.641155.821153.92844.74576.37MIN: 1446.43MIN: 1447.68MIN: 1130.25MIN: 1133.25MIN: 1131.1MIN: 841.12MIN: 571.991. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2040608010096.3598.2878.5278.4578.9658.3043.41

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: GoogLeNetRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X30609012015078.3678.4294.4794.3194.39117.35143.40

spaCy

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

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_trfRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X40080012001600200084885710411030105913931806

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_lgRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4K8K12K16K20K18874188631948319266194071949619800

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowRyzen 5 7600Ryzen 760036912159.459.461. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X300600900120015001299.351293.551026.821026.951026.041140.441045.76MIN: 1211.98 / MAX: 1428.07MIN: 1064.48 / MAX: 1430.27MIN: 885.32 / MAX: 1127.92MIN: 817.31 / MAX: 1127.04MIN: 926.38 / MAX: 1134.19MIN: 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 FP16 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2468103.073.083.883.883.895.247.601. (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 FP32 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X300600900120015001319.701312.651017.441039.301013.261137.541048.95MIN: 748.58 / MAX: 1432.8MIN: 769.61 / MAX: 1437.48MIN: 748.93 / MAX: 1133.32MIN: 870.74 / MAX: 1145.29MIN: 678.12 / MAX: 1133.16MIN: 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: Person Detection FP32 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2468103.013.033.923.823.935.257.591. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X160320480640800747.16737.37579.40581.03580.85640.67554.95MIN: 702.8 / MAX: 764.81MIN: 711.8 / MAX: 751.48MIN: 295.45 / MAX: 610.9MIN: 426.35 / MAX: 612.84MIN: 540.23 / MAX: 609.84MIN: 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: Face Detection FP16 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X481216205.325.406.896.876.889.3414.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumRyzen 5 7600Ryzen 760036912159.659.631. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X80160240320400386.14388.02293.62293.92293.72327.19282.77MIN: 369.36 / MAX: 391.28MIN: 377.53 / MAX: 392.13MIN: 253.44 / MAX: 312.74MIN: 165.51 / MAX: 311.01MIN: 175.59 / MAX: 313.02MIN: 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: Face Detection FP16-INT8 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X71421283510.3610.3013.6113.5913.6018.3128.271. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X153045607566.4267.1549.2449.6849.2460.2859.51MIN: 32.92 / MAX: 70.79MIN: 35.88 / MAX: 70.78MIN: 28.16 / MAX: 61.14MIN: 38.53 / MAX: 67.8MIN: 28.96 / MAX: 62.2MIN: 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: Machine Translation EN To DE FP16 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X30609012015060.1959.5481.2080.4681.2099.46134.331. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1.28252.5653.84755.136.41255.705.704.864.874.905.354.69MIN: 4.69 / MAX: 7.25MIN: 4.26 / MAX: 14.33MIN: 3.92 / MAX: 7.26MIN: 3.89 / MAX: 9.44MIN: 3.95 / MAX: 17.52MIN: 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: Person Vehicle Bike Detection FP16 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X400800120016002000701.42700.57821.75819.92815.541119.551703.891. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1.3322.6643.9965.3286.665.845.924.544.554.555.084.31MIN: 3.64 / MAX: 14.42MIN: 3.72 / MAX: 14.13MIN: 2.81 / MAX: 17.51MIN: 2.79 / MAX: 18.02MIN: 3.21 / MAX: 16.73MIN: 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: Vehicle Detection FP16-INT8 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X400800120016002000684.78674.50879.95878.78878.341180.301851.751. (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 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X369121510.8010.828.168.138.118.7710.49MIN: 5.27 / MAX: 12.56MIN: 4.85 / MAX: 20.72MIN: 3.91 / MAX: 45.74MIN: 4.17 / MAX: 23.81MIN: 4.87 / MAX: 21.23MIN: 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: Vehicle Detection FP16 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X160320480640800370.07369.51489.86491.47492.60683.30762.161. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2468107.577.615.805.815.826.445.52MIN: 6.66 / MAX: 10.78MIN: 3.98 / MAX: 15.67MIN: 3.02 / MAX: 17.77MIN: 3.04 / MAX: 18.38MIN: 3.04 / MAX: 18.04MIN: 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: Weld Porosity Detection FP16 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X30060090012001500527.78524.80688.94687.65686.80931.521446.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.09680.19360.29040.38720.4840.360.360.380.380.370.430.35MIN: 0.22 / MAX: 2.91MIN: 0.22 / MAX: 36.45MIN: 0.23 / MAX: 12.99MIN: 0.23 / MAX: 12.7MIN: 0.23 / MAX: 12.52MIN: 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 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X10K20K30K40K50K16542.8716447.6521093.5521138.0321216.5327745.5644954.591. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2468105.695.675.845.845.856.455.51MIN: 3.01 / MAX: 14.04MIN: 3.16 / MAX: 13.24MIN: 3.18 / MAX: 18.11MIN: 4.03 / MAX: 8.34MIN: 3.19 / MAX: 18.82MIN: 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: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X60012001800240030001054.541056.831368.711368.561366.981858.442903.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.15980.31960.47940.63920.7990.630.620.640.640.640.710.61MIN: 0.35 / MAX: 8.21MIN: 0.35 / MAX: 9.23MIN: 0.35 / MAX: 12.85MIN: 0.36 / MAX: 12.64MIN: 0.36 / MAX: 12.08MIN: 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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X6K12K18K24K30K9515.299620.2612492.0312463.1412465.6716732.8826078.961. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: ResNet-50Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X102030405027.4527.4532.3532.3532.3236.9242.65

Stargate Digital Audio Workstation

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

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 512Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.94251.8852.82753.774.71252.1616872.1682262.9921012.9882093.0031913.7110854.1886771. (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: 2Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X153045607567.8667.4856.5556.9856.2946.2937.731. (CXX) g++ options: -O3 -fPIC -lm

Stargate Digital Audio Workstation

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

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 1024Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1.32462.64923.97385.29846.6232.2295542.2323233.0935083.1065763.1114223.9013515.8870841. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X150300450600750631.60632.14651.36651.88652.21693.07635.51

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X36912154.74984.74536.10996.10936.13248.652812.5384

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X150300450600750631.91631.69652.55652.93652.43691.47633.82

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X36912154.74744.74916.12556.12126.12718.670712.5601

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2040608010084.4583.9986.7887.4287.4994.8284.24

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2040608010035.5135.7246.0945.7545.7263.2594.95

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4KRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1.15382.30763.46144.61525.7693.0353.0623.6813.6573.6634.5115.1281. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2040608010061.7062.8770.2269.7569.7572.9381.77

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2040608010048.6147.7156.9557.3357.3482.2497.80

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X50100150200250211.96211.89163.97163.92164.10124.2785.94

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X36912154.71774.71946.09866.10046.09358.046611.6359

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X50100150200250211.72211.30163.97163.58164.13124.2685.96

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X36912154.72324.73266.09876.11326.09268.047211.6325

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X71421283531.0731.1825.0025.1025.0021.0916.64

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X132639526532.1832.0739.9939.8339.9947.4060.09

Stargate Digital Audio Workstation

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

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 512Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2468102.9014532.9153864.0574564.0472934.0510685.0270597.5203491. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X112233445542.0042.0743.2943.7443.5846.6543.85

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X408012016020071.4171.3092.3891.4291.75128.59182.40

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X51015202521.9021.8417.0217.0117.0618.1815.44

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X142842567045.6645.7858.7358.7858.5954.9964.74

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: 512Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2468102.9641162.9634644.1613544.1433174.1679815.2127997.7808741. (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: 480000 - Buffer Size: 1024Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2468102.9703822.9681274.1855034.1842354.1998505.2683667.5909261. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

JPEG XL Decoding libjxl

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

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: 1Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X163248648066.4166.1968.1468.7167.9874.1770.45

nginx

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

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 4000Ryzen 5 7600Ryzen 7600Ryzen 7 770020K40K60K80K100K71632.4871432.5787991.411. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Connections: 4000

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

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

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

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

Stargate Digital Audio Workstation

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

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 1024Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2468103.0386443.0205144.2928424.2901694.3093785.3711738.4110541. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: GoogLeNetRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X30609012015079.1579.0495.7595.7395.88118.97145.59

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X71421283526.3926.3327.4127.4127.4329.2527.09

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X60120180240300113.64113.89145.87145.89145.76204.98295.18

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X153045607560.8360.4765.0965.8464.8268.9469.44

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X30609012015049.2949.5761.4160.7161.6886.97115.00

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4812162015.675315.640312.436212.520012.475510.72598.8369

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X30609012015063.7863.9280.3879.8480.1393.19113.11

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X61218243023.2823.5018.2918.3518.3015.3712.79

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2040608010042.9442.5454.6554.4854.6165.0178.10

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X369121511.733211.71258.06918.08158.08347.50164.9123

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X408012016020085.1885.33123.84123.63123.62133.21203.36

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: AlexNetRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X70140210280350170.35170.53211.78210.78211.48273.82344.54

EnCodec

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

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 24 kbpsRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X81624324032.9533.6231.5531.2531.2229.1330.45

uvg266

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

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

Y-Cruncher

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

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 1BRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X81624324033.1833.2928.0628.0728.0123.0519.65

uvg266

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

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

miniBUDE

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

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X132639526520.7920.7527.1627.2127.0536.6056.861. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X30060090012001500519.85518.81679.09680.19676.12914.961421.581. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

EnCodec

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

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 6 kbpsRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X71421283528.3528.6827.4427.0227.0025.3726.35

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 3 kbpsRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X71421283528.4128.4826.9126.8126.9225.4726.07

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 1.5 kbpsRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X61218243027.0927.3725.9225.6625.5424.3025.22

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastRyzen 5 7600Ryzen 760061218243024.4924.421. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

uvg266

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

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

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X36912159.375939.361447.617227.653527.643695.575453.63050MIN: 8.99MIN: 9MIN: 6.91MIN: 7.01MIN: 7.01MIN: 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_1d - Data Type: f32 - Engine: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1.22382.44763.67144.89526.1195.412525.439184.387594.410234.391063.461523.14041MIN: 5.22MIN: 5.22MIN: 3.83MIN: 3.9MIN: 3.82MIN: 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_1d - Data Type: u8s8f32 - Engine: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.23370.46740.70110.93481.16851.0386801.0351000.8074600.8095910.8107270.6174400.419833MIN: 1MIN: 1MIN: 0.74MIN: 0.74MIN: 0.74MIN: 0.56MIN: 0.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

JPEG XL Decoding libjxl

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

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: AllRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X70140210280350304.47301.94325.78333.40320.94212.74267.23

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: AlexNetRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X60120180240300148.41147.89178.52179.11178.79217.93260.05

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

QuadRay

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

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 5 - Resolution: 4KRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.47250.9451.41751.892.36250.770.760.980.910.981.312.101. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: GoogLeNetRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X30609012015080.0180.0297.1997.2497.02117.74143.32

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super FastRyzen 5 7600Ryzen 760071421283530.5630.551. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

QuadRay

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

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 3 - Resolution: 4KRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2468102.422.433.073.073.064.056.531. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 2 - Resolution: 4KRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2468102.822.783.603.593.604.757.481. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 1 - Resolution: 4KRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X61218243010.3210.3413.1013.1513.1117.1626.471. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 5 - Resolution: 1080pRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2468103.073.063.923.613.885.238.381. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 2 - Resolution: 1080pRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X71421283510.7510.8713.7613.7913.5717.7028.601. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 3 - Resolution: 1080pRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X6121824309.369.4711.8911.8511.8415.7225.011. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 1 - Resolution: 1080pRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2040608010040.5140.5951.0750.7850.9165.90103.211. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

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: MediumRyzen 5 7600Ryzen 760081624324033.1533.01

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.90661.81322.71983.62644.5334.029504.022363.224873.240903.256392.463881.73491MIN: 3.77MIN: 3.78MIN: 2.91MIN: 2.85MIN: 2.9MIN: 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 1D - Data Type: u8s8f32 - Engine: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.16920.33840.50760.67680.8460.7518120.7515880.5983390.5994650.6001970.5837750.468351MIN: 0.73MIN: 0.73MIN: 0.55MIN: 0.55MIN: 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 1D - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.35590.71181.06771.42361.77951.5800401.5818701.2646601.2806401.2693401.1270700.677558MIN: 1.5MIN: 1.51MIN: 1.15MIN: 1.14MIN: 1.15MIN: 1.04MIN: 0.61. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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: AlexNetRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4080120160200114.99114.80133.90133.60133.38154.19173.85

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastRyzen 5 7600Ryzen 7600102030405041.9041.821. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080pRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4812162010.3410.2912.0012.1112.0413.6611.911. (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 4KRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X153045607537.0236.9045.6645.5645.4157.1666.421. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Y-Cruncher

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

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 500MRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4812162015.07515.17212.77412.79312.70910.7749.101

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

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.12330.24660.36990.49320.61650.5478450.5468830.4373870.4355940.4367350.3092790.209335MIN: 0.52MIN: 0.52MIN: 0.39MIN: 0.39MIN: 0.39MIN: 0.28MIN: 0.21. (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: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.36930.73861.10791.47721.84651.6413301.6414501.5496501.5503701.5340600.6567810.433981MIN: 1.62MIN: 1.62MIN: 1.41MIN: 1.41MIN: 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: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.07070.14140.21210.28280.35350.3142920.3128360.2495840.2514480.2514550.1862800.129945MIN: 0.3MIN: 0.3MIN: 0.22MIN: 0.22MIN: 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: IP Shapes 3D - Data Type: f32 - Engine: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1.00532.01063.01594.02125.02654.451304.468044.309914.314704.327003.176003.21319MIN: 4.36MIN: 4.41MIN: 4.15MIN: 4.14MIN: 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 3D - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.58471.16941.75412.33882.92352.598672.565342.463552.459442.499821.528281.54188MIN: 2.52MIN: 2.52MIN: 2.29MIN: 2.29MIN: 2.28MIN: 1.45MIN: 1.451. (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: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.22470.44940.67410.89881.12350.9960050.9988880.9523600.9583270.9514690.3617760.370900MIN: 0.93MIN: 0.94MIN: 0.85MIN: 0.86MIN: 0.85MIN: 0.34MIN: 0.321. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6, LosslessRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X36912159.9679.9808.2968.2528.1946.7325.5331. (CXX) g++ options: -O3 -fPIC -lm

uvg266

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

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

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2468107.072997.097007.328297.332877.325015.209565.19324MIN: 7MIN: 6.99MIN: 7MIN: 6.98MIN: 6.99MIN: 5.13MIN: 5.141. (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: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2468107.377727.377967.625307.668167.651345.698085.59919MIN: 7.29MIN: 7.29MIN: 7.21MIN: 7.21MIN: 7.22MIN: 5.61MIN: 5.531. (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: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.77191.54382.31573.08763.85953.251993.254253.430603.359313.358701.844061.75749MIN: 3.19MIN: 3.2MIN: 3.09MIN: 3.09MIN: 3.09MIN: 1.78MIN: 1.681. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastRyzen 5 7600Ryzen 760020406080100104.23103.551. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

uvg266

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

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

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6Ryzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2468106.6946.7565.4255.3915.4524.1423.2161. (CXX) g++ options: -O3 -fPIC -lm

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080pRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4080120160200106.31105.58130.37130.47128.87161.10174.401. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: Super FastRyzen 5 7600Ryzen 7600306090120150128.89128.931. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4KRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4080120160200126.65126.84150.85149.97151.27185.43198.501. (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 4KRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4080120160200135.09137.32161.23160.94160.87192.69197.401. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 10, LosslessRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.99411.98822.98233.97644.97054.3764.4184.0253.9803.9393.5763.3971. (CXX) g++ options: -O3 -fPIC -lm

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastRyzen 5 7600Ryzen 76004080120160200172.40171.871. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1.20452.4093.61354.8186.02255.353145.344583.934363.925993.940373.391072.34460MIN: 5.3MIN: 5.3MIN: 3.78MIN: 3.77MIN: 3.73MIN: 3.3MIN: 2.291. (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: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.74451.4892.23352.9783.72253.296073.308962.489032.512522.523062.131391.40804MIN: 3.13MIN: 3.16MIN: 2.35MIN: 2.17MIN: 2.34MIN: 2.04MIN: 1.361. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPURyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.30570.61140.91711.22281.52851.3495401.3586301.0095700.9980441.0011900.8632190.582188MIN: 1.29MIN: 1.3MIN: 0.89MIN: 0.89MIN: 0.9MIN: 0.82MIN: 0.571. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080pRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X150300450600750523.71520.47611.46609.21609.39685.38578.981. (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 1080pRyzen 5 7600Ryzen 7600Ryzen 77007700Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X160320480640800577.57575.01667.57667.12664.22739.03518.181. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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

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

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

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

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

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

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

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

SMHasher

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

Hash: MeowHash x86_64 AES-NI

Ryzen 9 7950X: 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 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

7700: 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 7600: 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

Hash: t1ha0_aes_avx2 x86_64

Ryzen 9 7950X: 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 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

7700: 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 7600: 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

Hash: FarmHash32 x86_64 AVX

Ryzen 9 7950X: 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 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

7700: 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 7600: 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

Hash: t1ha2_atonce

Ryzen 9 7950X: 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 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

7700: 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 7600: 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

Hash: FarmHash128

Ryzen 9 7950X: 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 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

7700: 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 7600: 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

Hash: fasthash32

Ryzen 9 7950X: 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 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

7700: 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 7600: 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

Hash: Spooky32

Ryzen 9 7950X: 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 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

7700: 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 7600: 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

Hash: SHA3-256

Ryzen 9 7950X: 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 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

7700: 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 7600: 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

Hash: wyhash

Ryzen 9 7950X: 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 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

7700: 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 7600: 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

198 Results Shown

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