X3D Zen 4

Benchmarks for a future article..

HTML result view exported from: https://openbenchmarking.org/result/2303056-NE-X3DUPPER661&grr&sro.

X3D Zen 4ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950XAMD Ryzen 9 7900X3D 12-Core @ 4.40GHz (12 Cores / 24 Threads)ASUS ROG CROSSHAIR X670E HERO (9922 BIOS)AMD Device 14d832GBWestern Digital WD_BLACK SN850X 1000GB + 2000GBAMD Radeon RX 7900 XTX 24GB (2304/1249MHz)AMD Device ab30ASUS MG28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 23.046.2.2-060202-generic (x86_64)GNOME Shell 43.2X Server 1.21.1.6 + Wayland4.6 Mesa 23.1.0-devel (git-efcb639 2023-02-13 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49)GCC 12.2.0ext43840x2160AMD Ryzen 9 7900X 12-Core @ 4.70GHz (12 Cores / 24 Threads)AMD Ryzen 9 7950X3D 16-Core @ 4.20GHz (16 Cores / 32 Threads)AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads)OpenBenchmarking.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-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203Python Details- Python 3.11.1Security 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

X3D Zen 4openfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timetensorflow: CPU - 256 - ResNet-50onnx: yolov4 - CPU - Standardonnx: yolov4 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardlczero: BLASlczero: Eigenonnx: CaffeNet 12-int8 - CPU - Standardonnx: CaffeNet 12-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardtensorflow: CPU - 256 - GoogLeNetcompress-zstd: 19 - Decompression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedclickhouse: 100M Rows Hits Dataset, Third Runclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheonnx: GPT-2 - CPU - Standardonnx: GPT-2 - CPU - Standardtensorflow: CPU - 64 - ResNet-50toktx: UASTC 4 + Zstd Compression 19gpaw: Carbon Nanotubecompress-zstd: 8 - Decompression Speedcompress-zstd: 8 - Compression Speedonnx: fcn-resnet101-11 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Parallelonnx: yolov4 - CPU - Parallelonnx: yolov4 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelncnn: CPU - FastestDetncnn: CPU - vision_transformerncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetonnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: GPT-2 - CPU - Parallelonnx: GPT-2 - CPU - Parallelonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Parallelonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: super-resolution-10 - CPU - Parallelonnx: super-resolution-10 - CPU - Paralleltensorflow: CPU - 32 - ResNet-50askap: tConvolve MT - Degriddingaskap: tConvolve MT - Griddingonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUtensorflow: CPU - 256 - AlexNetgromacs: MPI CPU - water_GMX50_bareincompact3d: input.i3d 193 Cells Per Directionxmrig: Monero - 1Mopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUcompress-zstd: 3, Long Mode - Decompression Speedcompress-zstd: 3, Long Mode - Compression Speedcompress-zstd: 3 - Decompression Speedcompress-zstd: 3 - Compression Speedcompress-zstd: 12 - Decompression Speedcompress-zstd: 12 - Compression Speedopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedopenvino: 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: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUxmrig: Wownero - 1Mopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timepyhpc: CPU - Numpy - 4194304 - Isoneutral Mixingtensorflow: CPU - 64 - GoogLeNetonednn: IP Shapes 1D - bf16bf16bf16 - CPUtensorflow: CPU - 16 - ResNet-50pyhpc: CPU - Numpy - 4194304 - Equation of Statecloverleaf: Lagrangian-Eulerian Hydrodynamicssrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMpennant: sedovbigembree: Pathtracer - Asian Dragon Objaskap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddingsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMembree: Pathtracer ISPC - Asian Dragon Objtensorflow: CPU - 32 - GoogLeNetonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUmt-dgemm: Sustained Floating-Point Ratesrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMtensorflow: CPU - 64 - AlexNetembree: Pathtracer - Crownembree: Pathtracer - Asian Dragonpennant: leblancbigonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUembree: Pathtracer ISPC - Crownembree: Pathtracer ISPC - Asian Dragonsrsran: OFDM_Testtensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 32 - AlexNetincompact3d: input.i3d 129 Cells Per Directionaskap: Hogbom Clean OpenMPonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUtensorflow: CPU - 16 - AlexNettoktx: Zstd Compression 19srsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMtoktx: UASTC 3 + Zstd Compression 19onednn: IP Shapes 3D - bf16bf16bf16 - CPUlulesh: askap: tConvolve OpenMP - Degriddingaskap: tConvolve OpenMP - Griddingtoktx: UASTC 3onednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUpyhpc: CPU - JAX - 4194304 - Isoneutral MixingRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X1948.056193.3558938.89102.271110.078327.51702138.32725.563839.73682.36463424.169188217670.8655051155.1414.509368.9207118.962082.125.21876.314.3308.81303.48269.005.10690195.76039.06169.165143.1502352.91026.5664.5931.50536125.4677.970251.24481802.97977.567112.89294.3692.6511.0611.5714.7312.474.607.0825.949.031.494.573.253.733.143.579.33347.9732.873776.35362157.29253.137218.820535.142728.455520.717748.26452.97822335.70510.094799.054839.012906.782100.991560.86803.714328.372.27861.962960313564.71065.825.601064.335.612217.41319.62162.43710.72453.8298.3589.3910.15304.8619.642365.3940.955.65107.765.041188.174.771257.380.3930316.757.48801.870.6717663.846.121959.525.991000.4714966.1138.7360526.2090671.081123.261.0751038.110.72631.28235.3614.930.9376623.832412051.39923.93215.8585.926.9603126.270.3034648.215552250.3665.2278.3024.225526.552519.310425.1817227.045931.4349237333333124.65223.0312.6903210545.8611.38144158.9711.528136.8209.9250.6619.710.0371.161658953.046110078.066052.166.3742.029032161.5558199.3449840.36101.171910.110335.85153173.78423.944842.37882.33461430.959187917721.014088998.86016.881460.1065123.872101.823.41997.413.0290.14285.41258.645.79435172.80940.20157.108150.8682393.0857.4633.0951.57963116.2658.601151.20427830.06972.137413.86564.2284.5710.0511.7814.2412.384.987.7725.748.821.384.313.173.463.133.508.84571.2861.750536.83177146.33850.690319.727131.993631.258220.201749.49732.67309374.0118.89505112.41540.002755.492002.691434.06731.376353.602.27068.218612713863.01000.885.971012.485.902249.41393.721844014.32452.0248.8546.2010.95279.4821.442410.4808.553.54112.024.741265.144.411358.900.3533984.409.00666.350.6019661.305.512176.115.501089.1615870.6171.6184625.0164071.057125.620.97949938.90.71449.63240.6627.136.8809823.815811693.210092.1264.6669.426.4941127.670.2648268.248120254.9677.8294.4924.678826.507925.146124.7101327.639230.8877237000000128.74232.3014.6115010440.1831.81291162.6611.637145.3211.6251.1622.79.6981.517498484.56615756.775024.895.9441.798301863.9535178.1076943.88101.97409.996046.29145161.23027.308137.39452.06799486.612194517870.9381491084.90714.448670.1553137.772030.525.21872.415.0321.76316.84279.875.39416185.38444.20126.296126.8992391.61053.7522.6921.91347105.9299.440181.05436947.63567.547814.80884.6882.0311.9611.7214.2811.864.286.6024.348.521.634.603.403.863.313.768.87282.6443.539416.07438164.53249.535620.190729.770033.592720.140049.66052.59883384.7168.02960124.53044.272995.192293.311209.12623.394418.972.69558.773192415627.41085.087.321094.437.272254.01338.32203.63959.62452.8292.4589.4513.53304.0226.262422.11004.258.99135.504.821658.154.681706.680.3940658.967.971003.480.6723679.436.112616.086.011330.5319562.9125.9854223.9068451.074145.290.72951043.190.73129.18243.8638.327.0352431.00921249510858.8258.5660.134.1642149.390.22977311.258406256.8686.0339.8032.072734.703516.860823.9588636.237939.7144245966667147.01258.7712.5392537548.2501.08640176.2211.460144.2211.5252.0616.38.7471.083738987.939111369.66780.795.1261.507152126.1028190.9367344.87100.747110.086256.14984165.00722.568244.79412.06309485.241191517730.8169941224.0014.265670.0910140.762104.423.31990.012.5276.94275.45250.505.89782169.50244.58119.500138.0142379.1837.4509.3251.96381100.49489.954911.08333922.33761.610716.23444.4675.7611.4812.1414.2112.174.867.4624.618.581.544.403.233.623.153.628.70448.7642.228366.82261146.49747.001921.275527.303036.625619.327451.74242.43239411.0077.17184139.42544.392833.492173.951130.44578.911439.542.60766.213994313188.91040.727.651057.427.532223.81413.92170.14227.62439.9253.6554.4214.38281.5928.372390.4845.757.85138.144.781670.934.341843.30.3544741.9710.19784.250.6126015.995.532892.635.541442.5320609.4161.6749222.7938081.057143.880.66436043.080.72747.00236.9617.834.8457729.815311211.210788.8261.8665.831.7783147.080.21280110.983997250.7667.0351.0732.534333.632424.358773.6074836.554937.2215236600000146.99264.3314.6268368448.4592.10831176.7211.220142.9209.5247.4609.08.4051.522328479.87766156.826099.224.8851.40849OpenBenchmarking.org

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X50010001500200025002161.561948.061863.952126.101. (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

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X4080120160200199.34193.36178.11190.941. (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

TensorFlow

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 256 - Model: ResNet-50Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X1020304050SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 340.3638.8943.8844.87

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: yolov4 - Device: CPU - Executor: StandardRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X20406080100SE +/- 4.06, N = 15SE +/- 4.87, N = 15SE +/- 3.62, N = 15SE +/- 3.19, N = 15101.17102.27101.97100.751. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: yolov4 - Device: CPU - Executor: StandardRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.40412, N = 15SE +/- 0.45158, N = 15SE +/- 0.38311, N = 15SE +/- 0.36261, N = 1510.1103310.078329.9960410.086251. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: super-resolution-10 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: StandardRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X246810SE +/- 0.22770, N = 15SE +/- 0.40239, N = 15SE +/- 0.18428, N = 15SE +/- 0.19969, N = 135.851537.517026.291456.149841. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: super-resolution-10 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: StandardRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X4080120160200SE +/- 5.34, N = 15SE +/- 7.10, N = 15SE +/- 5.64, N = 15SE +/- 6.30, N = 13173.78138.33161.23165.011. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X612182430SE +/- 0.86, N = 15SE +/- 1.05, N = 12SE +/- 1.02, N = 15SE +/- 0.66, N = 1523.9425.5627.3122.571. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X1020304050SE +/- 1.23, N = 15SE +/- 1.38, N = 12SE +/- 1.50, N = 15SE +/- 1.19, N = 1542.3839.7437.3944.791. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.5321.0641.5962.1282.66SE +/- 0.05616, N = 12SE +/- 0.03587, N = 15SE +/- 0.04809, N = 15SE +/- 0.02087, N = 152.334612.364632.067992.063091. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X110220330440550SE +/- 10.29, N = 12SE +/- 6.30, N = 15SE +/- 9.53, N = 15SE +/- 4.65, N = 15430.96424.17486.61485.241. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLASRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X400800120016002000SE +/- 14.80, N = 3SE +/- 23.20, N = 4SE +/- 13.05, N = 3SE +/- 14.71, N = 318791882194519151. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X400800120016002000SE +/- 19.78, N = 3SE +/- 19.01, N = 4SE +/- 13.42, N = 3SE +/- 4.00, N = 317721767178717731. (CXX) g++ options: -flto -pthread

ONNX Runtime

Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: CaffeNet 12-int8 - Device: CPU - Executor: StandardRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.22820.45640.68460.91281.141SE +/- 0.029891, N = 15SE +/- 0.005430, N = 3SE +/- 0.033238, N = 15SE +/- 0.007823, N = 61.0140880.8655050.9381490.8169941. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: CaffeNet 12-int8 - Device: CPU - Executor: StandardRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X30060090012001500SE +/- 31.87, N = 15SE +/- 7.21, N = 3SE +/- 39.20, N = 15SE +/- 11.41, N = 6998.861155.141084.911224.001. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X48121620SE +/- 0.55, N = 15SE +/- 0.08, N = 3SE +/- 0.48, N = 15SE +/- 0.02, N = 316.8814.5114.4514.271. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X1632486480SE +/- 1.94, N = 15SE +/- 0.38, N = 3SE +/- 2.04, N = 15SE +/- 0.09, N = 360.1168.9270.1670.091. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

TensorFlow

Device: CPU - Batch Size: 256 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 256 - Model: GoogLeNetRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X306090120150SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3123.87118.96137.77140.76

Zstd Compression

Compression Level: 19 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression SpeedRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X5001000150020002500SE +/- 31.89, N = 3SE +/- 14.47, N = 15SE +/- 25.89, N = 15SE +/- 4.22, N = 32101.82082.12030.52104.41. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

Zstd Compression

Compression Level: 19 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression SpeedRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X612182430SE +/- 0.03, N = 3SE +/- 0.31, N = 15SE +/- 0.37, N = 15SE +/- 0.09, N = 323.425.225.223.31. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

Zstd Compression

Compression Level: 19, Long Mode - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression SpeedRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X400800120016002000SE +/- 8.37, N = 15SE +/- 29.67, N = 15SE +/- 16.22, N = 3SE +/- 6.34, N = 31997.41876.31872.41990.01. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

Zstd Compression

Compression Level: 19, Long Mode - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression SpeedRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X48121620SE +/- 0.12, N = 15SE +/- 0.15, N = 15SE +/- 0.03, N = 3SE +/- 0.03, N = 313.014.315.012.51. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

ClickHouse

100M Rows Hits Dataset, Third Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X70140210280350SE +/- 3.74, N = 3SE +/- 1.13, N = 3SE +/- 3.76, N = 3SE +/- 0.25, N = 3290.14308.81321.76276.94MIN: 16.06 / MAX: 12000MIN: 14.79 / MAX: 12000MIN: 15.82 / MAX: 10000MIN: 15.4 / MAX: 10000

ClickHouse

100M Rows Hits Dataset, Second Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X70140210280350SE +/- 0.26, N = 3SE +/- 0.93, N = 3SE +/- 2.16, N = 3SE +/- 3.10, N = 3285.41303.48316.84275.45MIN: 16.08 / MAX: 12000MIN: 14.85 / MAX: 10000MIN: 16.12 / MAX: 10000MIN: 16.28 / MAX: 12000

ClickHouse

100M Rows Hits Dataset, First Run / Cold Cache

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X60120180240300SE +/- 1.44, N = 3SE +/- 1.41, N = 3SE +/- 1.59, N = 3SE +/- 0.81, N = 3258.64269.00279.87250.50MIN: 15.82 / MAX: 10000MIN: 14.44 / MAX: 8571.43MIN: 13.15 / MAX: 7500MIN: 12.61 / MAX: 10000

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: StandardRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X1.3272.6543.9815.3086.635SE +/- 0.06489, N = 15SE +/- 0.03513, N = 3SE +/- 0.07238, N = 3SE +/- 0.01353, N = 35.794355.106905.394165.897821. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: StandardRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X4080120160200SE +/- 1.80, N = 15SE +/- 1.34, N = 3SE +/- 2.46, N = 3SE +/- 0.39, N = 3172.81195.76185.38169.501. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

TensorFlow

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 64 - Model: ResNet-50Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X1020304050SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 340.2039.0644.2044.58

KTX-Software toktx

Settings: UASTC 4 + Zstd Compression 19

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 4 + Zstd Compression 19Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X4080120160200SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.21, N = 3157.11169.17126.30119.50

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 22.1Input: Carbon NanotubeRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X306090120150SE +/- 0.21, N = 3SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3150.87143.15126.90138.011. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

Zstd Compression

Compression Level: 8 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression SpeedRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X5001000150020002500SE +/- 6.76, N = 3SE +/- 4.93, N = 3SE +/- 15.85, N = 15SE +/- 7.71, N = 32393.02352.92391.62379.11. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

Zstd Compression

Compression Level: 8 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression SpeedRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X2004006008001000SE +/- 1.87, N = 3SE +/- 7.21, N = 3SE +/- 9.05, N = 15SE +/- 3.61, N = 3857.41026.51053.7837.41. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X140280420560700SE +/- 3.35, N = 3SE +/- 7.18, N = 5SE +/- 4.59, N = 3SE +/- 5.36, N = 3633.10664.59522.69509.331. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.44190.88381.32571.76762.2095SE +/- 0.00841, N = 3SE +/- 0.01582, N = 5SE +/- 0.01691, N = 3SE +/- 0.02061, N = 31.579631.505361.913471.963811. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: yolov4 - Device: CPU - Executor: ParallelRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X306090120150SE +/- 0.42, N = 3SE +/- 0.38, N = 3SE +/- 0.20, N = 3SE +/- 1.07, N = 5116.27125.47105.93100.491. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: yolov4 - Device: CPU - Executor: ParallelRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.03144, N = 3SE +/- 0.02410, N = 3SE +/- 0.01779, N = 3SE +/- 0.10261, N = 58.601157.970259.440189.954911. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: CaffeNet 12-int8 - Device: CPU - Executor: ParallelRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.28010.56020.84031.12041.4005SE +/- 0.01294, N = 5SE +/- 0.01782, N = 3SE +/- 0.00846, N = 3SE +/- 0.00816, N = 31.204271.244811.054361.083331. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: CaffeNet 12-int8 - Device: CPU - Executor: ParallelRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X2004006008001000SE +/- 9.08, N = 5SE +/- 11.49, N = 3SE +/- 7.64, N = 3SE +/- 6.96, N = 3830.07802.98947.64922.341. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: bertsquad-12 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: ParallelRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X20406080100SE +/- 0.81, N = 3SE +/- 0.50, N = 3SE +/- 0.70, N = 4SE +/- 0.67, N = 372.1477.5767.5561.611. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: bertsquad-12 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: ParallelRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X48121620SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 4SE +/- 0.18, N = 313.8712.8914.8116.231. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

NCNN

Target: CPU - Model: FastestDet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X1.0532.1063.1594.2125.265SE +/- 0.19, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 74.224.364.684.46MIN: 3.94 / MAX: 4.84MIN: 4.18 / MAX: 4.8MIN: 4.55 / MAX: 6.08MIN: 4.27 / MAX: 5.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vision_transformer

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X20406080100SE +/- 0.26, N = 3SE +/- 0.54, N = 3SE +/- 1.49, N = 3SE +/- 0.63, N = 784.5792.6582.0375.76MIN: 83.77 / MAX: 112.37MIN: 91.31 / MAX: 100.98MIN: 80.21 / MAX: 86.13MIN: 74.12 / MAX: 90.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 710.0511.0611.9611.48MIN: 9.63 / MAX: 43.59MIN: 10.51 / MAX: 18MIN: 11.54 / MAX: 15.93MIN: 10.72 / MAX: 48.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.14, N = 3SE +/- 0.26, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 711.7811.5711.7212.14MIN: 11.23 / MAX: 63.22MIN: 10.88 / MAX: 89.31MIN: 11.48 / MAX: 18.6MIN: 11.7 / MAX: 20.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X48121620SE +/- 0.14, N = 3SE +/- 0.47, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 714.2414.7314.2814.21MIN: 13.88 / MAX: 55.6MIN: 13.78 / MAX: 20.88MIN: 13.99 / MAX: 17.85MIN: 13.76 / MAX: 41.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.19, N = 3SE +/- 0.18, N = 3SE +/- 0.27, N = 3SE +/- 0.12, N = 712.3812.4711.8612.17MIN: 11.55 / MAX: 20.74MIN: 11.8 / MAX: 20.06MIN: 11.44 / MAX: 44.27MIN: 11.51 / MAX: 20.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X1.12052.2413.36154.4825.6025SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 74.984.604.284.86MIN: 4.73 / MAX: 10.59MIN: 4.43 / MAX: 11.35MIN: 4.13 / MAX: 10.29MIN: 4.63 / MAX: 9.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X246810SE +/- 0.25, N = 3SE +/- 0.31, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 77.777.086.607.46MIN: 7.02 / MAX: 14.55MIN: 6.25 / MAX: 13.9MIN: 6.42 / MAX: 12.76MIN: 7.15 / MAX: 14.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X612182430SE +/- 0.35, N = 3SE +/- 0.43, N = 3SE +/- 0.45, N = 3SE +/- 0.40, N = 725.7425.9424.3424.61MIN: 24.62 / MAX: 110.19MIN: 24.38 / MAX: 80.6MIN: 23.49 / MAX: 49.31MIN: 23.44 / MAX: 36.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.23, N = 3SE +/- 0.35, N = 3SE +/- 0.00, N = 3SE +/- 0.15, N = 78.829.038.528.58MIN: 7.98 / MAX: 72.14MIN: 7.88 / MAX: 43.33MIN: 8.28 / MAX: 14.26MIN: 8.16 / MAX: 15.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.36680.73361.10041.46721.834SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 71.381.491.631.54MIN: 1.31 / MAX: 7.52MIN: 1.4 / MAX: 8.23MIN: 1.57 / MAX: 4.47MIN: 1.46 / MAX: 8.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X1.0352.073.1054.145.175SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 74.314.574.604.40MIN: 4.09 / MAX: 69.92MIN: 4.29 / MAX: 38.08MIN: 4.49 / MAX: 8.48MIN: 4.27 / MAX: 12.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.7651.532.2953.063.825SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 73.173.253.403.23MIN: 3 / MAX: 45.73MIN: 3.13 / MAX: 9.66MIN: 3.28 / MAX: 7.36MIN: 3.12 / MAX: 10.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.86851.7372.60553.4744.3425SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 73.463.733.863.62MIN: 3.36 / MAX: 9.94MIN: 3.55 / MAX: 9.54MIN: 3.71 / MAX: 9.56MIN: 3.44 / MAX: 10.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.74481.48962.23442.97923.724SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 73.133.143.313.15MIN: 2.81 / MAX: 65.6MIN: 3.07 / MAX: 7.15MIN: 3.21 / MAX: 7.38MIN: 3.05 / MAX: 9.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.8461.6922.5383.3844.23SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 73.503.573.763.62MIN: 3.31 / MAX: 10.67MIN: 3.49 / MAX: 7.6MIN: 3.66 / MAX: 7.74MIN: 3.49 / MAX: 11.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 78.849.338.878.70MIN: 8.3 / MAX: 71.01MIN: 9.06 / MAX: 16.18MIN: 8.73 / MAX: 12.08MIN: 8.36 / MAX: 15.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: StandardRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X120240360480600SE +/- 3.02, N = 3SE +/- 0.19, N = 3SE +/- 4.02, N = 3SE +/- 1.13, N = 3571.29347.97282.64448.761. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: StandardRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.79641.59282.38923.18563.982SE +/- 0.00921, N = 3SE +/- 0.00156, N = 3SE +/- 0.04984, N = 3SE +/- 0.00558, N = 31.750532.873773.539412.228361. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: ParallelRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X246810SE +/- 0.07342, N = 3SE +/- 0.02269, N = 3SE +/- 0.02467, N = 3SE +/- 0.00930, N = 36.831776.353626.074386.822611. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: ParallelRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X4080120160200SE +/- 1.56, N = 3SE +/- 0.56, N = 3SE +/- 0.66, N = 3SE +/- 0.20, N = 3146.34157.29164.53146.501. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: bertsquad-12 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: StandardRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X1224364860SE +/- 0.07, N = 3SE +/- 0.34, N = 3SE +/- 0.47, N = 3SE +/- 0.16, N = 350.6953.1449.5447.001. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: bertsquad-12 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: StandardRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X510152025SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 319.7318.8220.1921.281. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X816243240SE +/- 0.21, N = 3SE +/- 0.13, N = 3SE +/- 0.19, N = 3SE +/- 0.08, N = 331.9935.1429.7727.301. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X816243240SE +/- 0.21, N = 3SE +/- 0.11, N = 3SE +/- 0.21, N = 3SE +/- 0.11, N = 331.2628.4633.5936.631. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: ParallelRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X510152025SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.23, N = 3SE +/- 0.16, N = 320.2020.7220.1419.331. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: ParallelRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X1224364860SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.55, N = 3SE +/- 0.42, N = 349.5048.2649.6651.741. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: ParallelRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.67011.34022.01032.68043.3505SE +/- 0.01009, N = 3SE +/- 0.01374, N = 3SE +/- 0.01408, N = 3SE +/- 0.00583, N = 32.673092.978222.598832.432391. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: ParallelRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X90180270360450SE +/- 1.41, N = 3SE +/- 1.54, N = 3SE +/- 2.07, N = 3SE +/- 0.99, N = 3374.01335.71384.72411.011. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: super-resolution-10 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: ParallelRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.01908, N = 3SE +/- 0.00988, N = 3SE +/- 0.01572, N = 3SE +/- 0.02538, N = 38.8950510.094708.029607.171841. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: super-resolution-10 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: ParallelRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X306090120150SE +/- 0.24, N = 3SE +/- 0.10, N = 3SE +/- 0.24, N = 3SE +/- 0.49, N = 3112.4299.05124.53139.431. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

TensorFlow

Device: CPU - Batch Size: 32 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 32 - Model: ResNet-50Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X1020304050SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 340.0039.0144.2744.39

ASKAP

Test: tConvolve MT - Degridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X6001200180024003000SE +/- 39.07, N = 3SE +/- 24.29, N = 3SE +/- 7.84, N = 3SE +/- 6.59, N = 32755.492906.782995.192833.491. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MT - Gridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X5001000150020002500SE +/- 11.79, N = 3SE +/- 11.10, N = 3SE +/- 8.06, N = 3SE +/- 8.23, N = 32002.692100.992293.312173.951. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X30060090012001500SE +/- 1.79, N = 3SE +/- 1.50, N = 3SE +/- 2.36, N = 3SE +/- 1.31, N = 31434.061560.861209.121130.44MIN: 1423.92MIN: 1554.07MIN: 1195.27MIN: 1121.321. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X2004006008001000SE +/- 1.56, N = 3SE +/- 2.26, N = 3SE +/- 1.70, N = 3SE +/- 4.41, N = 3731.38803.71623.39578.91MIN: 721.81MIN: 796.39MIN: 614.18MIN: 566.671. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

TensorFlow

Device: CPU - Batch Size: 256 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 256 - Model: AlexNetRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X100200300400500SE +/- 0.11, N = 3SE +/- 0.33, N = 3SE +/- 0.24, N = 3SE +/- 0.19, N = 3353.60328.37418.97439.54

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.60641.21281.81922.42563.032SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 32.2702.2782.6952.6071. (CXX) g++ options: -O3

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X1530456075SE +/- 0.82, N = 3SE +/- 0.70, N = 4SE +/- 0.66, N = 4SE +/- 0.31, N = 368.2261.9658.7766.211. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Xmrig

Variant: Monero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X3K6K9K12K15KSE +/- 111.27, N = 3SE +/- 76.91, N = 3SE +/- 69.71, N = 3SE +/- 39.19, N = 313863.013564.715627.413188.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X2004006008001000SE +/- 7.16, N = 3SE +/- 3.14, N = 3SE +/- 2.36, N = 3SE +/- 1.82, N = 31000.881065.821085.081040.72MIN: 603.97 / MAX: 1146.51MIN: 618.47 / MAX: 1180.09MIN: 997.16 / MAX: 1282.69MIN: 623.58 / MAX: 1238.551. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X246810SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.975.607.327.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X2004006008001000SE +/- 3.50, N = 3SE +/- 2.18, N = 3SE +/- 6.09, N = 3SE +/- 8.14, N = 31012.481064.331094.431057.42MIN: 584.86 / MAX: 1150.29MIN: 940.91 / MAX: 1184.64MIN: 672.11 / MAX: 1267.85MIN: 582.42 / MAX: 1238.031. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X246810SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 35.905.617.277.531. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Zstd Compression

Compression Level: 3, Long Mode - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Decompression SpeedRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X5001000150020002500SE +/- 3.63, N = 3SE +/- 5.96, N = 3SE +/- 3.72, N = 3SE +/- 4.39, N = 32249.42217.42254.02223.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

Zstd Compression

Compression Level: 3, Long Mode - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Compression SpeedRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X30060090012001500SE +/- 1.62, N = 3SE +/- 7.40, N = 3SE +/- 1.80, N = 3SE +/- 3.37, N = 31393.71319.61338.31413.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

Zstd Compression

Compression Level: 3 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Decompression SpeedRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X5001000150020002500SE +/- 5.24, N = 3SE +/- 7.53, N = 3SE +/- 6.56, N = 3SE +/- 3.32, N = 32184.02162.42203.62170.11. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

Zstd Compression

Compression Level: 3 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Compression SpeedRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X9001800270036004500SE +/- 10.25, N = 3SE +/- 10.85, N = 3SE +/- 2.07, N = 3SE +/- 22.63, N = 34014.33710.73959.64227.61. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

Zstd Compression

Compression Level: 12 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression SpeedRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X5001000150020002500SE +/- 16.52, N = 3SE +/- 2.91, N = 3SE +/- 9.67, N = 3SE +/- 6.83, N = 32452.02453.82452.82439.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

Zstd Compression

Compression Level: 12 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression SpeedRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X60120180240300SE +/- 0.55, N = 3SE +/- 2.69, N = 3SE +/- 1.20, N = 3SE +/- 1.42, N = 3248.8298.3292.4253.61. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X130260390520650SE +/- 0.69, N = 3SE +/- 0.29, N = 3SE +/- 0.95, N = 3SE +/- 0.39, N = 3546.20589.39589.45554.42MIN: 275.75 / MAX: 574.42MIN: 309.39 / MAX: 685.91MIN: 407.34 / MAX: 615.98MIN: 280.02 / MAX: 579.261. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X48121620SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 310.9510.1513.5314.381. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X70140210280350SE +/- 0.86, N = 3SE +/- 0.08, N = 3SE +/- 1.12, N = 3SE +/- 0.86, N = 3279.48304.86304.02281.59MIN: 148.87 / MAX: 292.1MIN: 160.61 / MAX: 318.49MIN: 154.56 / MAX: 315.21MIN: 146.44 / MAX: 293.541. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X714212835SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 321.4419.6426.2628.371. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Zstd Compression

Compression Level: 8, Long Mode - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Decompression SpeedRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X5001000150020002500SE +/- 0.74, N = 3SE +/- 4.07, N = 3SE +/- 12.98, N = 3SE +/- 0.47, N = 32410.42365.32422.12390.41. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

Zstd Compression

Compression Level: 8, Long Mode - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression SpeedRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X2004006008001000SE +/- 0.92, N = 3SE +/- 4.92, N = 3SE +/- 1.52, N = 3SE +/- 0.72, N = 3808.5940.91004.2845.71. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X1326395265SE +/- 0.10, N = 3SE +/- 0.23, N = 3SE +/- 0.23, N = 3SE +/- 0.22, N = 353.5455.6558.9957.85MIN: 31.21 / MAX: 70.2MIN: 26.86 / MAX: 87.31MIN: 30.71 / MAX: 70.41MIN: 27.45 / MAX: 68.11. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X306090120150SE +/- 0.21, N = 3SE +/- 0.45, N = 3SE +/- 0.53, N = 3SE +/- 0.55, N = 3112.02107.76135.50138.141. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X1.1342.2683.4024.5365.67SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 34.745.044.824.78MIN: 3.18 / MAX: 12.15MIN: 3.53 / MAX: 13.4MIN: 3.33 / MAX: 13.06MIN: 3.45 / MAX: 12.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X400800120016002000SE +/- 11.19, N = 3SE +/- 6.32, N = 3SE +/- 1.97, N = 3SE +/- 9.91, N = 31265.141188.171658.151670.931. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X1.07332.14663.21994.29325.3665SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.414.774.684.34MIN: 2.6 / MAX: 12.74MIN: 2.89 / MAX: 23.9MIN: 2.79 / MAX: 16.02MIN: 2.71 / MAX: 12.091. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X400800120016002000SE +/- 6.32, N = 3SE +/- 0.73, N = 3SE +/- 3.94, N = 3SE +/- 2.59, N = 31358.901257.381706.681843.301. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.08780.17560.26340.35120.439SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.350.390.390.35MIN: 0.21 / MAX: 8.31MIN: 0.24 / MAX: 61.73MIN: 0.22 / MAX: 8.71MIN: 0.21 / MAX: 7.041. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X10K20K30K40K50KSE +/- 51.92, N = 3SE +/- 15.66, N = 3SE +/- 72.52, N = 3SE +/- 86.54, N = 333984.4030316.7540658.9644741.971. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 39.007.487.9710.19MIN: 4.65 / MAX: 19.47MIN: 4.3 / MAX: 42.8MIN: 4.7 / MAX: 18.6MIN: 4.41 / MAX: 24.51. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X2004006008001000SE +/- 9.18, N = 3SE +/- 2.18, N = 3SE +/- 3.11, N = 3SE +/- 3.17, N = 3666.35801.871003.48784.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.15080.30160.45240.60320.754SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.600.670.670.61MIN: 0.33 / MAX: 7.83MIN: 0.37 / MAX: 45.37MIN: 0.35 / MAX: 9.57MIN: 0.34 / MAX: 7.641. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X6K12K18K24K30KSE +/- 119.95, N = 3SE +/- 3.40, N = 3SE +/- 77.85, N = 3SE +/- 29.30, N = 319661.3017663.8423679.4326015.991. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X246810SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.516.126.115.53MIN: 2.96 / MAX: 12.69MIN: 3.22 / MAX: 17.67MIN: 3.19 / MAX: 13.31MIN: 2.99 / MAX: 13.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X6001200180024003000SE +/- 13.39, N = 3SE +/- 0.41, N = 3SE +/- 2.92, N = 3SE +/- 2.33, N = 32176.111959.522616.082892.631. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 35.505.996.015.54MIN: 2.79 / MAX: 16.27MIN: 3.12 / MAX: 18.55MIN: 3.17 / MAX: 13.52MIN: 2.85 / MAX: 12.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X30060090012001500SE +/- 0.21, N = 3SE +/- 0.24, N = 3SE +/- 0.83, N = 3SE +/- 1.85, N = 31089.161000.471330.531442.531. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Xmrig

Variant: Wownero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X4K8K12K16K20KSE +/- 13.65, N = 3SE +/- 23.48, N = 3SE +/- 21.89, N = 3SE +/- 28.90, N = 315870.614966.119562.920609.41. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X4080120160200171.62138.74125.99161.671. (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

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X61218243025.0226.2123.9122.791. (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

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral MixingRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.24320.48640.72960.97281.216SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.008, N = 3SE +/- 0.001, N = 31.0571.0811.0741.057

TensorFlow

Device: CPU - Batch Size: 64 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 64 - Model: GoogLeNetRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X306090120150SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 3125.62123.26145.29143.88

oneDNN

Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.24190.48380.72570.96761.2095SE +/- 0.004105, N = 4SE +/- 0.002405, N = 4SE +/- 0.010030, N = 15SE +/- 0.006372, N = 150.9794991.0751000.7295100.664360MIN: 0.91MIN: 1.03MIN: 0.63MIN: 0.591. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

TensorFlow

Device: CPU - Batch Size: 16 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 16 - Model: ResNet-50Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X1020304050SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 338.9038.1143.1943.08

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of StateRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.16450.3290.49350.6580.8225SE +/- 0.001, N = 3SE +/- 0.011, N = 12SE +/- 0.000, N = 3SE +/- 0.001, N = 30.7140.7260.7310.727

CloverLeaf

Lagrangian-Eulerian Hydrodynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X1122334455SE +/- 0.50, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 349.6331.2829.1847.001. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X50100150200250SE +/- 0.87, N = 3SE +/- 2.56, N = 11SE +/- 0.33, N = 3SE +/- 0.72, N = 3240.6235.3243.8236.91. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X140280420560700SE +/- 1.85, N = 3SE +/- 4.54, N = 11SE +/- 1.67, N = 3SE +/- 0.43, N = 3627.1614.9638.3617.81. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

Pennant

Test: sedovbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X816243240SE +/- 0.14, N = 3SE +/- 0.29, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 336.8830.9427.0434.851. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Embree

Binary: Pathtracer - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer - Model: Asian Dragon ObjRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X714212835SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 323.8223.8331.0129.82MIN: 23.68 / MAX: 24.06MIN: 23.72 / MAX: 24.15MIN: 30.82 / MAX: 31.62MIN: 29.53 / MAX: 30.29

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X3K6K9K12K15KSE +/- 116.93, N = 3SE +/- 124.23, N = 3SE +/- 0.00, N = 3SE +/- 111.37, N = 611693.212051.312495.011211.21. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Degridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X2K4K6K8K10KSE +/- 0.00, N = 3SE +/- 84.09, N = 3SE +/- 74.40, N = 3SE +/- 106.21, N = 610092.109923.9310858.8010788.801. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X60120180240300SE +/- 0.59, N = 4SE +/- 0.42, N = 15SE +/- 1.65, N = 4SE +/- 0.18, N = 4264.6215.8258.5261.81. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X140280420560700SE +/- 2.31, N = 4SE +/- 3.59, N = 15SE +/- 3.65, N = 4SE +/- 2.30, N = 4669.4585.9660.1665.81. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X816243240SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 326.4926.9634.1631.78MIN: 26.24 / MAX: 27.06MIN: 26.76 / MAX: 27.4MIN: 33.76 / MAX: 35.23MIN: 31.44 / MAX: 32.76

TensorFlow

Device: CPU - Batch Size: 32 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 32 - Model: GoogLeNetRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X306090120150SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3127.67126.27149.39147.08

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.06830.13660.20490.27320.3415SE +/- 0.000581, N = 4SE +/- 0.004459, N = 15SE +/- 0.000569, N = 4SE +/- 0.000189, N = 40.2648260.3034640.2297730.212801MIN: 0.25MIN: 0.29MIN: 0.22MIN: 0.21. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.062303, N = 3SE +/- 0.008361, N = 3SE +/- 0.160508, N = 3SE +/- 0.134859, N = 38.2481208.21555211.25840610.9839971. (CC) gcc options: -O3 -march=native -fopenmp

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X60120180240300SE +/- 1.39, N = 3SE +/- 2.06, N = 3SE +/- 0.67, N = 3SE +/- 0.25, N = 3254.9250.3256.8250.71. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X150300450600750SE +/- 1.63, N = 3SE +/- 7.85, N = 3SE +/- 1.62, N = 3SE +/- 0.74, N = 3677.8665.2686.0667.01. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

TensorFlow

Device: CPU - Batch Size: 64 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 64 - Model: AlexNetRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X80160240320400SE +/- 0.30, N = 3SE +/- 0.09, N = 3SE +/- 0.40, N = 3SE +/- 0.64, N = 3294.49278.30339.80351.07

Embree

Binary: Pathtracer - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer - Model: CrownRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X816243240SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 324.6824.2332.0732.53MIN: 24.44 / MAX: 25.19MIN: 23.99 / MAX: 24.64MIN: 31.5 / MAX: 32.66MIN: 32.17 / MAX: 33.24

Embree

Binary: Pathtracer - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer - Model: Asian DragonRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X816243240SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 326.5126.5534.7033.63MIN: 26.37 / MAX: 26.79MIN: 26.42 / MAX: 26.93MIN: 34.46 / MAX: 35.13MIN: 33.39 / MAX: 34.01

Pennant

Test: leblancbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X612182430SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 325.1519.3116.8624.361. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X1.16592.33183.49774.66365.8295SE +/- 0.04268, N = 3SE +/- 0.01434, N = 3SE +/- 0.03845, N = 3SE +/- 0.02903, N = 34.710135.181723.958863.60748MIN: 4.54MIN: 4.98MIN: 3.72MIN: 3.431. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: CrownRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X816243240SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 327.6427.0536.2436.55MIN: 27.15 / MAX: 28.38MIN: 26.79 / MAX: 27.57MIN: 35.78 / MAX: 36.89MIN: 35.98 / MAX: 37.5

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: Asian DragonRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X918273645SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 4SE +/- 0.01, N = 330.8931.4339.7137.22MIN: 30.69 / MAX: 31.38MIN: 31.23 / MAX: 32MIN: 39.34 / MAX: 40.55MIN: 36.85 / MAX: 38.38

srsRAN

Test: OFDM_Test

OpenBenchmarking.orgSamples / Second, More Is BettersrsRAN 22.04.1Test: OFDM_TestRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X50M100M150M200M250MSE +/- 1266227.99, N = 3SE +/- 1519137.18, N = 3SE +/- 1072898.46, N = 3SE +/- 1178982.61, N = 32370000002373333332459666672366000001. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

TensorFlow

Device: CPU - Batch Size: 16 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 16 - Model: GoogLeNetRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X306090120150SE +/- 0.09, N = 4SE +/- 0.02, N = 4SE +/- 0.07, N = 4SE +/- 0.14, N = 4128.74124.65147.01146.99

TensorFlow

Device: CPU - Batch Size: 32 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 32 - Model: AlexNetRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X60120180240300SE +/- 0.05, N = 4SE +/- 0.10, N = 3SE +/- 0.06, N = 4SE +/- 0.14, N = 4232.30223.03258.77264.33

Xcompact3d Incompact3d

Input: input.i3d 129 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per DirectionRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X48121620SE +/- 0.05, N = 4SE +/- 0.05, N = 4SE +/- 0.02, N = 4SE +/- 0.04, N = 414.6112.6912.5414.631. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

ASKAP

Test: Hogbom Clean OpenMP

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X120240360480600SE +/- 2.17, N = 5SE +/- 1.12, N = 5SE +/- 0.74, N = 5SE +/- 1.79, N = 5440.18545.86548.25448.461. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.47440.94881.42321.89762.372SE +/- 0.00247, N = 7SE +/- 0.00176, N = 7SE +/- 0.00908, N = 7SE +/- 0.37855, N = 151.812911.381441.086402.10831MIN: 1.74MIN: 1.34MIN: 1.01MIN: 1.631. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

TensorFlow

Device: CPU - Batch Size: 16 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 16 - Model: AlexNetRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X4080120160200SE +/- 0.22, N = 4SE +/- 0.07, N = 4SE +/- 0.18, N = 5SE +/- 0.11, N = 5162.66158.97176.22176.72

KTX-Software toktx

Settings: Zstd Compression 19

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: Zstd Compression 19Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.07, N = 4SE +/- 0.03, N = 4SE +/- 0.06, N = 5SE +/- 0.05, N = 511.6411.5311.4611.22

srsRAN

Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X306090120150SE +/- 0.21, N = 5SE +/- 4.42, N = 5SE +/- 0.93, N = 5SE +/- 0.23, N = 5145.3136.8144.2142.91. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

srsRAN

Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X50100150200250SE +/- 0.81, N = 5SE +/- 1.58, N = 5SE +/- 1.38, N = 5SE +/- 0.56, N = 5211.6209.9211.5209.51. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X60120180240300SE +/- 0.34, N = 5SE +/- 0.45, N = 5SE +/- 0.83, N = 5SE +/- 0.90, N = 5251.1250.6252.0247.41. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X130260390520650SE +/- 1.26, N = 5SE +/- 1.40, N = 5SE +/- 4.56, N = 5SE +/- 6.18, N = 5622.7619.7616.3609.01. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

KTX-Software toktx

Settings: UASTC 3 + Zstd Compression 19

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 3 + Zstd Compression 19Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.013, N = 5SE +/- 0.014, N = 5SE +/- 0.012, N = 5SE +/- 0.005, N = 59.69810.0378.7478.405

oneDNN

Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.34250.6851.02751.371.7125SE +/- 0.01359, N = 5SE +/- 0.00690, N = 5SE +/- 0.00875, N = 5SE +/- 0.00933, N = 51.517491.161651.083731.52232MIN: 1.4MIN: 1.08MIN: 0.97MIN: 1.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

LULESH

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X2K4K6K8K10KSE +/- 18.50, N = 6SE +/- 19.85, N = 7SE +/- 15.81, N = 7SE +/- 22.43, N = 68484.578953.058987.948479.881. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

ASKAP

Test: tConvolve OpenMP - Degridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X2K4K6K8K10KSE +/- 107.63, N = 6SE +/- 76.62, N = 7SE +/- 97.44, N = 7SE +/- 35.18, N = 45756.7710078.0611369.606156.821. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve OpenMP - Gridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingRyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X15003000450060007500SE +/- 34.63, N = 6SE +/- 30.03, N = 7SE +/- 61.20, N = 7SE +/- 46.08, N = 65024.896052.166780.796099.221. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

KTX-Software toktx

Settings: UASTC 3

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 3Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X246810SE +/- 0.006, N = 7SE +/- 0.004, N = 6SE +/- 0.019, N = 7SE +/- 0.003, N = 75.9446.3745.1264.885

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7900XRyzen 9 7900X3DRyzen 9 79500X3DRyzen 9 7950X0.45650.9131.36951.8262.2825SE +/- 0.00295, N = 9SE +/- 0.00266, N = 9SE +/- 0.00172, N = 9SE +/- 0.00250, N = 91.798302.029031.507151.40849MIN: 1.7MIN: 1.97MIN: 1.46MIN: 1.341. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread


Phoronix Test Suite v10.8.5