X3D Zen 4

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Ryzen 9 7900X3D
March 03 2023
  14 Hours, 36 Minutes
Ryzen 9 7900X
March 04 2023
  15 Hours, 29 Minutes
Ryzen 9 79500X3D
March 04 2023
  15 Hours, 2 Minutes
Ryzen 9 7950X
March 05 2023
  14 Hours, 35 Minutes
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  14 Hours, 56 Minutes

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X3D Zen 4OpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 7900X3D 12-Core @ 4.40GHz (12 Cores / 24 Threads)AMD 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)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 12.2.0ext43840x2160ProcessorsMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionX3D Zen 4 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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 - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203- Python 3.11.1- 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 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950XResult OverviewPhoronix Test Suite100%118%135%153%CloverLeafPennantACES DGEMMEmbreeoneDNNASKAPXmrigKTX-Software toktxOpenVINOGPAWGROMACSTensorFlowOpenFOAMXcompact3d Incompact3dClickHouseONNX RuntimeLULESHsrsRANZstd CompressionNCNNLeelaChessZeroPyHPC Benchmarks

X3D Zen 4srsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer - Crownembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownmt-dgemm: Sustained Floating-Point Ratexmrig: Monero - 1Mxmrig: Wownero - 1Mtensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 16 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 32 - AlexNettensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 64 - AlexNettensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 256 - AlexNettensorflow: CPU - 256 - GoogLeNetonnx: yolov4 - CPU - Standardonnx: yolov4 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Parallelonnx: super-resolution-10 - CPU - Standardonnx: super-resolution-10 - CPU - Parallelonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Parallelonnx: GPT-2 - CPU - Standardonnx: GPT-2 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Standardonnx: CaffeNet 12-int8 - CPU - Parallelonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelaskap: Hogbom Clean OpenMPcompress-zstd: 3 - Compression Speedcompress-zstd: 3 - Decompression Speedcompress-zstd: 3, Long Mode - Compression Speedcompress-zstd: 3, Long Mode - Decompression Speedcompress-zstd: 8 - Compression Speedcompress-zstd: 8 - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 12 - Compression Speedcompress-zstd: 12 - Decompression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedaskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddingaskap: tConvolve MT - Griddingaskap: tConvolve MT - Degriddingaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddinglczero: BLASlczero: Eigengromacs: MPI CPU - water_GMX50_bareclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runsrsran: OFDM_Testsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMlulesh: pennant: leblancbigpennant: sedovbigonnx: yolov4 - CPU - Standardonnx: yolov4 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Parallelonnx: super-resolution-10 - CPU - Standardonnx: super-resolution-10 - CPU - Parallelonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Parallelonnx: GPT-2 - CPU - Standardonnx: GPT-2 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Standardonnx: CaffeNet 12-int8 - CPU - Parallelonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: CPU - vision_transformerncnn: CPU - FastestDetopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directiontoktx: Zstd Compression 19toktx: UASTC 3toktx: UASTC 3 + Zstd Compression 19toktx: UASTC 4 + Zstd Compression 19gpaw: Carbon Nanotubepyhpc: CPU - Numpy - 4194304 - Equation of Statepyhpc: CPU - Numpy - 4194304 - Isoneutral Mixingcloverleaf: Lagrangian-Eulerian HydrodynamicsRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X619.7585.9614.9665.2209.910.1519.6430316.7517663.845.605.611959.521000.471257.38801.871188.17107.7626.552523.832424.225531.434926.960327.04598.21555213564.714966.138.11158.97124.6539.01223.03126.2739.06278.30123.2638.89328.37118.9610.078327.970252.873771.50536138.32799.054818.820512.8929195.760157.29239.736828.4555424.169335.7051155.14802.97968.920748.2645545.8613710.72162.41319.62217.41026.52352.9940.92365.3298.32453.825.22082.114.31876.36052.1610078.062100.992906.789923.9312051.3188217672.278269.00303.48308.81237333333250.6215.8235.3250.3136.88953.046119.3104230.93766102.2711125.467347.973664.5937.5170210.094753.137277.56715.106906.3536225.563835.14272.364632.978220.8655051.2448114.509320.7177589.39304.860.390.671065.821064.336.125.994.777.485.0455.651.381445.181722.029031.075101.161650.3034641560.86803.7149.333.573.143.733.254.571.499.0325.947.084.6012.4714.7311.5711.0692.654.3626.209067138.73605193.355891948.05612.690321061.962960311.5286.37410.037169.165143.1500.7261.08131.28622.7669.4627.1677.8211.610.9521.4433984.4019661.305.975.902176.111089.161358.90666.351265.14112.0226.507923.815824.678830.887726.494127.63928.24812013863.015870.638.9162.66128.7440.00232.30127.6740.20294.49125.6240.36353.60123.8710.110338.601151.750531.57963173.784112.41519.727113.8656172.809146.33842.378831.2582430.959374.011998.860830.06960.106549.4973440.1834014.321841393.72249.4857.42393.0808.52410.4248.82452.023.42101.813.01997.45024.895756.772002.692755.4910092.111693.2187917722.270258.64285.41290.14237000000251.1264.6240.6254.9145.38484.566125.1461236.88098101.1719116.265571.286633.0955.851538.8950550.690372.13745.794356.8317723.944831.99362.334612.673091.0140881.2042716.881420.2017546.20279.480.350.601000.881012.485.515.504.419.004.7453.541.812914.710131.798300.9794991.517490.2648261434.06731.3768.843.503.133.463.174.311.388.8225.747.774.9812.3814.2411.7810.0584.574.2225.016407171.61846199.344982161.555814.611501068.218612711.6375.9449.698157.108150.8680.7141.05749.63616.3660.1638.3686.0211.513.5326.2640658.9623679.437.327.272616.081330.531706.681003.481658.15135.5034.703531.009232.072739.714434.164236.237911.25840615627.419562.943.19176.22147.0144.27258.77149.3944.20339.80145.2943.88418.97137.779.996049.440183.539411.91347161.230124.53020.190714.8088185.384164.53237.394533.5927486.612384.7161084.907947.63570.155349.6605548.2503959.62203.61338.32254.01053.72391.61004.22422.1292.42452.825.22030.515.01872.46780.7911369.62293.312995.1910858.812495194517872.695279.87316.84321.76245966667252.0258.5243.8256.8144.28987.939116.8608227.03524101.9740105.929282.644522.6926.291458.0296049.535667.54785.394166.0743827.308129.77002.067992.598830.9381491.0543614.448620.1400589.45304.020.390.671085.081094.436.116.014.687.974.8258.991.086403.958861.507150.7295101.083730.2297731209.12623.3948.873.763.313.863.404.601.638.5224.346.604.2811.8614.2811.7211.9682.034.6823.906845125.98542178.107691863.953512.539253758.773192411.4605.1268.747126.296126.8990.7311.07429.18609.0665.8617.8667.0209.514.3828.3744741.9726015.997.657.532892.631442.531843.3784.251670.93138.1433.632429.815332.534337.221531.778336.554910.98399713188.920609.443.08176.72146.9944.39264.33147.0844.58351.07143.8844.87439.54140.7610.086259.954912.228361.96381165.007139.42521.275516.2344169.502146.49744.794136.6256485.241411.0071224.00922.33770.091051.7424448.4594227.62170.11413.92223.8837.42379.1845.72390.4253.62439.923.32104.412.51990.06099.226156.822173.952833.4910788.811211.2191517732.607250.50275.45276.94236600000247.4261.8236.9250.7142.98479.877624.3587734.84577100.7471100.4948448.764509.3256.149847.1718447.001961.61075.897826.8226122.568227.30302.063092.432390.8169941.0833314.265619.3274554.42281.590.350.611040.721057.425.535.544.3410.194.7857.852.108313.607481.408490.6643601.522320.2128011130.44578.9118.703.623.153.623.234.401.548.5824.617.464.8612.1714.2112.1411.4875.764.4622.793808161.67492190.936732126.102814.626836866.213994311.2204.8858.405119.500138.0140.7271.05747.00OpenBenchmarking.org

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X130260390520650SE +/- 1.40, N = 5SE +/- 1.26, N = 5SE +/- 4.56, N = 5SE +/- 6.18, N = 5619.7622.7616.3609.01. (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

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X140280420560700SE +/- 3.59, N = 15SE +/- 2.31, N = 4SE +/- 3.65, N = 4SE +/- 2.30, N = 4585.9669.4660.1665.81. (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

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X140280420560700SE +/- 4.54, N = 11SE +/- 1.85, N = 3SE +/- 1.67, N = 3SE +/- 0.43, N = 3614.9627.1638.3617.81. (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

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X150300450600750SE +/- 7.85, N = 3SE +/- 1.63, N = 3SE +/- 1.62, N = 3SE +/- 0.74, N = 3665.2677.8686.0667.01. (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

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X50100150200250SE +/- 1.58, N = 5SE +/- 0.81, N = 5SE +/- 1.38, N = 5SE +/- 0.56, N = 5209.9211.6211.5209.51. (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

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X48121620SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 310.1510.9513.5314.381. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X714212835SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 319.6421.4426.2628.371. (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 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X10K20K30K40K50KSE +/- 15.66, N = 3SE +/- 51.92, N = 3SE +/- 72.52, N = 3SE +/- 86.54, N = 330316.7533984.4040658.9644741.971. (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 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X6K12K18K24K30KSE +/- 3.40, N = 3SE +/- 119.95, N = 3SE +/- 77.85, N = 3SE +/- 29.30, N = 317663.8419661.3023679.4326015.991. (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 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X246810SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.605.977.327.651. (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 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X246810SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 35.615.907.277.531. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X6001200180024003000SE +/- 0.41, N = 3SE +/- 13.39, N = 3SE +/- 2.92, N = 3SE +/- 2.33, N = 31959.522176.112616.082892.631. (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 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X30060090012001500SE +/- 0.24, N = 3SE +/- 0.21, N = 3SE +/- 0.83, N = 3SE +/- 1.85, N = 31000.471089.161330.531442.531. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X400800120016002000SE +/- 0.73, N = 3SE +/- 6.32, N = 3SE +/- 3.94, N = 3SE +/- 2.59, N = 31257.381358.901706.681843.301. (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 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X2004006008001000SE +/- 2.18, N = 3SE +/- 9.18, N = 3SE +/- 3.11, N = 3SE +/- 3.17, N = 3801.87666.351003.48784.251. (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 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X400800120016002000SE +/- 6.32, N = 3SE +/- 11.19, N = 3SE +/- 1.97, N = 3SE +/- 9.91, N = 31188.171265.141658.151670.931. (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 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X306090120150SE +/- 0.45, N = 3SE +/- 0.21, N = 3SE +/- 0.53, N = 3SE +/- 0.55, N = 3107.76112.02135.50138.141. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer - Model: Asian DragonRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X816243240SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 326.5526.5134.7033.63MIN: 26.42 / MAX: 26.93MIN: 26.37 / MAX: 26.79MIN: 34.46 / MAX: 35.13MIN: 33.39 / MAX: 34.01

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer - Model: Asian Dragon ObjRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X714212835SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 323.8323.8231.0129.82MIN: 23.72 / MAX: 24.15MIN: 23.68 / MAX: 24.06MIN: 30.82 / MAX: 31.62MIN: 29.53 / MAX: 30.29

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer - Model: CrownRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X816243240SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 324.2324.6832.0732.53MIN: 23.99 / MAX: 24.64MIN: 24.44 / MAX: 25.19MIN: 31.5 / MAX: 32.66MIN: 32.17 / MAX: 33.24

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: Asian DragonRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X918273645SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 4SE +/- 0.01, N = 331.4330.8939.7137.22MIN: 31.23 / MAX: 32MIN: 30.69 / MAX: 31.38MIN: 39.34 / MAX: 40.55MIN: 36.85 / MAX: 38.38

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X816243240SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 326.9626.4934.1631.78MIN: 26.76 / MAX: 27.4MIN: 26.24 / MAX: 27.06MIN: 33.76 / MAX: 35.23MIN: 31.44 / MAX: 32.76

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: CrownRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X816243240SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 327.0527.6436.2436.55MIN: 26.79 / MAX: 27.57MIN: 27.15 / MAX: 28.38MIN: 35.78 / MAX: 36.89MIN: 35.98 / MAX: 37.5

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.008361, N = 3SE +/- 0.062303, N = 3SE +/- 0.160508, N = 3SE +/- 0.134859, N = 38.2155528.24812011.25840610.9839971. (CC) gcc options: -O3 -march=native -fopenmp

Xmrig

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

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X3K6K9K12K15KSE +/- 76.91, N = 3SE +/- 111.27, N = 3SE +/- 69.71, N = 3SE +/- 39.19, N = 313564.713863.015627.413188.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X4K8K12K16K20KSE +/- 23.48, N = 3SE +/- 13.65, N = 3SE +/- 21.89, N = 3SE +/- 28.90, N = 314966.115870.619562.920609.41. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 16 - Model: ResNet-50Ryzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X1020304050SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 338.1138.9043.1943.08

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 16 - Model: AlexNetRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X4080120160200SE +/- 0.07, N = 4SE +/- 0.22, N = 4SE +/- 0.18, N = 5SE +/- 0.11, N = 5158.97162.66176.22176.72

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 16 - Model: GoogLeNetRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X306090120150SE +/- 0.02, N = 4SE +/- 0.09, N = 4SE +/- 0.07, N = 4SE +/- 0.14, N = 4124.65128.74147.01146.99

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 32 - Model: ResNet-50Ryzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X1020304050SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 339.0140.0044.2744.39

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 32 - Model: AlexNetRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X60120180240300SE +/- 0.10, N = 3SE +/- 0.05, N = 4SE +/- 0.06, N = 4SE +/- 0.14, N = 4223.03232.30258.77264.33

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 32 - Model: GoogLeNetRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X306090120150SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3126.27127.67149.39147.08

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 64 - Model: ResNet-50Ryzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X1020304050SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 339.0640.2044.2044.58

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 64 - Model: AlexNetRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X80160240320400SE +/- 0.09, N = 3SE +/- 0.30, N = 3SE +/- 0.40, N = 3SE +/- 0.64, N = 3278.30294.49339.80351.07

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 64 - Model: GoogLeNetRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X306090120150SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 3123.26125.62145.29143.88

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 256 - Model: ResNet-50Ryzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X1020304050SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 338.8940.3643.8844.87

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 256 - Model: AlexNetRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X100200300400500SE +/- 0.33, N = 3SE +/- 0.11, N = 3SE +/- 0.24, N = 3SE +/- 0.19, N = 3328.37353.60418.97439.54

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12-rc0Device: CPU - Batch Size: 256 - Model: GoogLeNetRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X306090120150SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3118.96123.87137.77140.76

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: yolov4 - Device: CPU - Executor: StandardRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.45158, N = 15SE +/- 0.40412, N = 15SE +/- 0.38311, N = 15SE +/- 0.36261, N = 1510.0783210.110339.9960410.086251. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: yolov4 - Device: CPU - Executor: ParallelRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.02410, N = 3SE +/- 0.03144, N = 3SE +/- 0.01779, N = 3SE +/- 0.10261, N = 57.970258.601159.440189.954911. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: StandardRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X0.79641.59282.38923.18563.982SE +/- 0.00156, N = 3SE +/- 0.00921, N = 3SE +/- 0.04984, N = 3SE +/- 0.00558, N = 32.873771.750533.539412.228361. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X0.44190.88381.32571.76762.2095SE +/- 0.01582, N = 5SE +/- 0.00841, N = 3SE +/- 0.01691, N = 3SE +/- 0.02061, N = 31.505361.579631.913471.963811. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: StandardRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X4080120160200SE +/- 7.10, N = 15SE +/- 5.34, N = 15SE +/- 5.64, N = 15SE +/- 6.30, N = 13138.33173.78161.23165.011. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: ParallelRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X306090120150SE +/- 0.10, N = 3SE +/- 0.24, N = 3SE +/- 0.24, N = 3SE +/- 0.49, N = 399.05112.42124.53139.431. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: StandardRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X510152025SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 318.8219.7320.1921.281. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: ParallelRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X48121620SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 4SE +/- 0.18, N = 312.8913.8714.8116.231. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: StandardRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X4080120160200SE +/- 1.34, N = 3SE +/- 1.80, N = 15SE +/- 2.46, N = 3SE +/- 0.39, N = 3195.76172.81185.38169.501. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: ParallelRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X4080120160200SE +/- 0.56, N = 3SE +/- 1.56, N = 3SE +/- 0.66, N = 3SE +/- 0.20, N = 3157.29146.34164.53146.501. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X1020304050SE +/- 1.38, N = 12SE +/- 1.23, N = 15SE +/- 1.50, N = 15SE +/- 1.19, N = 1539.7442.3837.3944.791. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X816243240SE +/- 0.11, N = 3SE +/- 0.21, N = 3SE +/- 0.21, N = 3SE +/- 0.11, N = 328.4631.2633.5936.631. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X110220330440550SE +/- 6.30, N = 15SE +/- 10.29, N = 12SE +/- 9.53, N = 15SE +/- 4.65, N = 15424.17430.96486.61485.241. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: ParallelRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X90180270360450SE +/- 1.54, N = 3SE +/- 1.41, N = 3SE +/- 2.07, N = 3SE +/- 0.99, N = 3335.71374.01384.72411.011. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: CaffeNet 12-int8 - Device: CPU - Executor: StandardRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X30060090012001500SE +/- 7.21, N = 3SE +/- 31.87, N = 15SE +/- 39.20, N = 15SE +/- 11.41, N = 61155.14998.861084.911224.001. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: CaffeNet 12-int8 - Device: CPU - Executor: ParallelRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X2004006008001000SE +/- 11.49, N = 3SE +/- 9.08, N = 5SE +/- 7.64, N = 3SE +/- 6.96, N = 3802.98830.07947.64922.341. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X1632486480SE +/- 0.38, N = 3SE +/- 1.94, N = 15SE +/- 2.04, N = 15SE +/- 0.09, N = 368.9260.1170.1670.091. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: ParallelRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X1224364860SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.55, N = 3SE +/- 0.42, N = 348.2649.5049.6651.741. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X120240360480600SE +/- 1.12, N = 5SE +/- 2.17, N = 5SE +/- 0.74, N = 5SE +/- 1.79, N = 5545.86440.18548.25448.461. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Compression SpeedRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X9001800270036004500SE +/- 10.85, N = 3SE +/- 10.25, N = 3SE +/- 2.07, N = 3SE +/- 22.63, N = 33710.74014.33959.64227.61. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Decompression SpeedRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X5001000150020002500SE +/- 7.53, N = 3SE +/- 5.24, N = 3SE +/- 6.56, N = 3SE +/- 3.32, N = 32162.42184.02203.62170.11. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Compression SpeedRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X30060090012001500SE +/- 7.40, N = 3SE +/- 1.62, N = 3SE +/- 1.80, N = 3SE +/- 3.37, N = 31319.61393.71338.31413.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Decompression SpeedRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X5001000150020002500SE +/- 5.96, N = 3SE +/- 3.63, N = 3SE +/- 3.72, N = 3SE +/- 4.39, N = 32217.42249.42254.02223.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression SpeedRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X2004006008001000SE +/- 7.21, N = 3SE +/- 1.87, N = 3SE +/- 9.05, N = 15SE +/- 3.61, N = 31026.5857.41053.7837.41. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression SpeedRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X5001000150020002500SE +/- 4.93, N = 3SE +/- 6.76, N = 3SE +/- 15.85, N = 15SE +/- 7.71, N = 32352.92393.02391.62379.11. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression SpeedRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X2004006008001000SE +/- 4.92, N = 3SE +/- 0.92, N = 3SE +/- 1.52, N = 3SE +/- 0.72, N = 3940.9808.51004.2845.71. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Decompression SpeedRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X5001000150020002500SE +/- 4.07, N = 3SE +/- 0.74, N = 3SE +/- 12.98, N = 3SE +/- 0.47, N = 32365.32410.42422.12390.41. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression SpeedRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X60120180240300SE +/- 2.69, N = 3SE +/- 0.55, N = 3SE +/- 1.20, N = 3SE +/- 1.42, N = 3298.3248.8292.4253.61. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression SpeedRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X5001000150020002500SE +/- 2.91, N = 3SE +/- 16.52, N = 3SE +/- 9.67, N = 3SE +/- 6.83, N = 32453.82452.02452.82439.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression SpeedRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X612182430SE +/- 0.31, N = 15SE +/- 0.03, N = 3SE +/- 0.37, N = 15SE +/- 0.09, N = 325.223.425.223.31. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression SpeedRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X5001000150020002500SE +/- 14.47, N = 15SE +/- 31.89, N = 3SE +/- 25.89, N = 15SE +/- 4.22, N = 32082.12101.82030.52104.41. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression SpeedRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X48121620SE +/- 0.15, N = 15SE +/- 0.12, N = 15SE +/- 0.03, N = 3SE +/- 0.03, N = 314.313.015.012.51. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression SpeedRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X400800120016002000SE +/- 29.67, N = 15SE +/- 8.37, N = 15SE +/- 16.22, N = 3SE +/- 6.34, N = 31876.31997.41872.41990.01. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X15003000450060007500SE +/- 30.03, N = 7SE +/- 34.63, N = 6SE +/- 61.20, N = 7SE +/- 46.08, N = 66052.165024.896780.796099.221. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X2K4K6K8K10KSE +/- 76.62, N = 7SE +/- 107.63, N = 6SE +/- 97.44, N = 7SE +/- 35.18, N = 410078.065756.7711369.606156.821. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X5001000150020002500SE +/- 11.10, N = 3SE +/- 11.79, N = 3SE +/- 8.06, N = 3SE +/- 8.23, N = 32100.992002.692293.312173.951. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X6001200180024003000SE +/- 24.29, N = 3SE +/- 39.07, N = 3SE +/- 7.84, N = 3SE +/- 6.59, N = 32906.782755.492995.192833.491. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X2K4K6K8K10KSE +/- 84.09, N = 3SE +/- 0.00, N = 3SE +/- 74.40, N = 3SE +/- 106.21, N = 69923.9310092.1010858.8010788.801. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X3K6K9K12K15KSE +/- 124.23, N = 3SE +/- 116.93, N = 3SE +/- 0.00, N = 3SE +/- 111.37, N = 612051.311693.212495.011211.21. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLASRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X400800120016002000SE +/- 23.20, N = 4SE +/- 14.80, N = 3SE +/- 13.05, N = 3SE +/- 14.71, N = 318821879194519151. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X400800120016002000SE +/- 19.01, N = 4SE +/- 19.78, N = 3SE +/- 13.42, N = 3SE +/- 4.00, N = 317671772178717731. (CXX) g++ options: -flto -pthread

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X0.60641.21281.81922.42563.032SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 32.2782.2702.6952.6071. (CXX) g++ options: -O3

ClickHouse

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

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X60120180240300SE +/- 1.41, N = 3SE +/- 1.44, N = 3SE +/- 1.59, N = 3SE +/- 0.81, N = 3269.00258.64279.87250.50MIN: 14.44 / MAX: 8571.43MIN: 15.82 / MAX: 10000MIN: 13.15 / MAX: 7500MIN: 12.61 / MAX: 10000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X70140210280350SE +/- 0.93, N = 3SE +/- 0.26, N = 3SE +/- 2.16, N = 3SE +/- 3.10, N = 3303.48285.41316.84275.45MIN: 14.85 / MAX: 10000MIN: 16.08 / MAX: 12000MIN: 16.12 / MAX: 10000MIN: 16.28 / MAX: 12000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X70140210280350SE +/- 1.13, N = 3SE +/- 3.74, N = 3SE +/- 3.76, N = 3SE +/- 0.25, N = 3308.81290.14321.76276.94MIN: 14.79 / MAX: 12000MIN: 16.06 / MAX: 12000MIN: 15.82 / MAX: 10000MIN: 15.4 / MAX: 10000

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples / Second, More Is BettersrsRAN 22.04.1Test: OFDM_TestRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X50M100M150M200M250MSE +/- 1519137.18, N = 3SE +/- 1266227.99, N = 3SE +/- 1072898.46, N = 3SE +/- 1178982.61, N = 32373333332370000002459666672366000001. (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

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X60120180240300SE +/- 0.45, N = 5SE +/- 0.34, N = 5SE +/- 0.83, N = 5SE +/- 0.90, N = 5250.6251.1252.0247.41. (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

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X60120180240300SE +/- 0.42, N = 15SE +/- 0.59, N = 4SE +/- 1.65, N = 4SE +/- 0.18, N = 4215.8264.6258.5261.81. (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

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X50100150200250SE +/- 2.56, N = 11SE +/- 0.87, N = 3SE +/- 0.33, N = 3SE +/- 0.72, N = 3235.3240.6243.8236.91. (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

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X60120180240300SE +/- 2.06, N = 3SE +/- 1.39, N = 3SE +/- 0.67, N = 3SE +/- 0.25, N = 3250.3254.9256.8250.71. (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

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X306090120150SE +/- 4.42, N = 5SE +/- 0.21, N = 5SE +/- 0.93, N = 5SE +/- 0.23, N = 5136.8145.3144.2142.91. (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

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Ryzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X2K4K6K8K10KSE +/- 19.85, N = 7SE +/- 18.50, N = 6SE +/- 15.81, N = 7SE +/- 22.43, N = 68953.058484.578987.948479.881. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

Pennant

Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X612182430SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 319.3125.1516.8624.361. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X816243240SE +/- 0.29, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 330.9436.8827.0434.851. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

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 - Device: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X130260390520650SE +/- 0.29, N = 3SE +/- 0.69, N = 3SE +/- 0.95, N = 3SE +/- 0.39, N = 3589.39546.20589.45554.42MIN: 309.39 / MAX: 685.91MIN: 275.75 / MAX: 574.42MIN: 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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X70140210280350SE +/- 0.08, N = 3SE +/- 0.86, N = 3SE +/- 1.12, N = 3SE +/- 0.86, N = 3304.86279.48304.02281.59MIN: 160.61 / MAX: 318.49MIN: 148.87 / MAX: 292.1MIN: 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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X0.08780.17560.26340.35120.439SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.390.350.390.35MIN: 0.24 / MAX: 61.73MIN: 0.21 / MAX: 8.31MIN: 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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X0.15080.30160.45240.60320.754SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.670.600.670.61MIN: 0.37 / MAX: 45.37MIN: 0.33 / MAX: 7.83MIN: 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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X2004006008001000SE +/- 3.14, N = 3SE +/- 7.16, N = 3SE +/- 2.36, N = 3SE +/- 1.82, N = 31065.821000.881085.081040.72MIN: 618.47 / MAX: 1180.09MIN: 603.97 / MAX: 1146.51MIN: 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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X2004006008001000SE +/- 2.18, N = 3SE +/- 3.50, N = 3SE +/- 6.09, N = 3SE +/- 8.14, N = 31064.331012.481094.431057.42MIN: 940.91 / MAX: 1184.64MIN: 584.86 / MAX: 1150.29MIN: 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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X246810SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 36.125.516.115.53MIN: 3.22 / MAX: 17.67MIN: 2.96 / MAX: 12.69MIN: 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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 35.995.506.015.54MIN: 3.12 / MAX: 18.55MIN: 2.79 / MAX: 16.27MIN: 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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X1.07332.14663.21994.29325.3665SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.774.414.684.34MIN: 2.89 / MAX: 23.9MIN: 2.6 / MAX: 12.74MIN: 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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 37.489.007.9710.19MIN: 4.3 / MAX: 42.8MIN: 4.65 / MAX: 19.47MIN: 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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X1.1342.2683.4024.5365.67SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 35.044.744.824.78MIN: 3.53 / MAX: 13.4MIN: 3.18 / MAX: 12.15MIN: 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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X1326395265SE +/- 0.23, N = 3SE +/- 0.10, N = 3SE +/- 0.23, N = 3SE +/- 0.22, N = 355.6553.5458.9957.85MIN: 26.86 / MAX: 87.31MIN: 31.21 / MAX: 70.2MIN: 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

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X0.47440.94881.42321.89762.372SE +/- 0.00176, N = 7SE +/- 0.00247, N = 7SE +/- 0.00908, N = 7SE +/- 0.37855, N = 151.381441.812911.086402.10831MIN: 1.34MIN: 1.74MIN: 1.01MIN: 1.631. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X1.16592.33183.49774.66365.8295SE +/- 0.01434, N = 3SE +/- 0.04268, N = 3SE +/- 0.03845, N = 3SE +/- 0.02903, N = 35.181724.710133.958863.60748MIN: 4.98MIN: 4.54MIN: 3.72MIN: 3.431. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X0.45650.9131.36951.8262.2825SE +/- 0.00266, N = 9SE +/- 0.00295, N = 9SE +/- 0.00172, N = 9SE +/- 0.00250, N = 92.029031.798301.507151.40849MIN: 1.97MIN: 1.7MIN: 1.46MIN: 1.341. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X0.24190.48380.72570.96761.2095SE +/- 0.002405, N = 4SE +/- 0.004105, N = 4SE +/- 0.010030, N = 15SE +/- 0.006372, N = 151.0751000.9794990.7295100.664360MIN: 1.03MIN: 0.91MIN: 0.63MIN: 0.591. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X0.34250.6851.02751.371.7125SE +/- 0.00690, N = 5SE +/- 0.01359, N = 5SE +/- 0.00875, N = 5SE +/- 0.00933, N = 51.161651.517491.083731.52232MIN: 1.08MIN: 1.4MIN: 0.97MIN: 1.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X0.06830.13660.20490.27320.3415SE +/- 0.004459, N = 15SE +/- 0.000581, N = 4SE +/- 0.000569, N = 4SE +/- 0.000189, N = 40.3034640.2648260.2297730.212801MIN: 0.29MIN: 0.25MIN: 0.22MIN: 0.21. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X30060090012001500SE +/- 1.50, N = 3SE +/- 1.79, N = 3SE +/- 2.36, N = 3SE +/- 1.31, N = 31560.861434.061209.121130.44MIN: 1554.07MIN: 1423.92MIN: 1195.27MIN: 1121.321. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X2004006008001000SE +/- 2.26, N = 3SE +/- 1.56, N = 3SE +/- 1.70, N = 3SE +/- 4.41, N = 3803.71731.38623.39578.91MIN: 796.39MIN: 721.81MIN: 614.18MIN: 566.671. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 79.338.848.878.70MIN: 9.06 / MAX: 16.18MIN: 8.3 / MAX: 71.01MIN: 8.73 / MAX: 12.08MIN: 8.36 / MAX: 15.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2Ryzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X0.8461.6922.5383.3844.23SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 73.573.503.763.62MIN: 3.49 / MAX: 7.6MIN: 3.31 / MAX: 10.67MIN: 3.66 / MAX: 7.74MIN: 3.49 / MAX: 11.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3Ryzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X0.74481.48962.23442.97923.724SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 73.143.133.313.15MIN: 3.07 / MAX: 7.15MIN: 2.81 / MAX: 65.6MIN: 3.21 / MAX: 7.38MIN: 3.05 / MAX: 9.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2Ryzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X0.86851.7372.60553.4744.3425SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 73.733.463.863.62MIN: 3.55 / MAX: 9.54MIN: 3.36 / MAX: 9.94MIN: 3.71 / MAX: 9.56MIN: 3.44 / MAX: 10.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X0.7651.532.2953.063.825SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 73.253.173.403.23MIN: 3.13 / MAX: 9.66MIN: 3 / MAX: 45.73MIN: 3.28 / MAX: 7.36MIN: 3.12 / MAX: 10.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0Ryzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X1.0352.073.1054.145.175SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 74.574.314.604.40MIN: 4.29 / MAX: 38.08MIN: 4.09 / MAX: 69.92MIN: 4.49 / MAX: 8.48MIN: 4.27 / MAX: 12.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X0.36680.73361.10041.46721.834SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 71.491.381.631.54MIN: 1.4 / MAX: 8.23MIN: 1.31 / MAX: 7.52MIN: 1.57 / MAX: 4.47MIN: 1.46 / MAX: 8.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.35, N = 3SE +/- 0.23, N = 3SE +/- 0.00, N = 3SE +/- 0.15, N = 79.038.828.528.58MIN: 7.88 / MAX: 43.33MIN: 7.98 / MAX: 72.14MIN: 8.28 / MAX: 14.26MIN: 8.16 / MAX: 15.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16Ryzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X612182430SE +/- 0.43, N = 3SE +/- 0.35, N = 3SE +/- 0.45, N = 3SE +/- 0.40, N = 725.9425.7424.3424.61MIN: 24.38 / MAX: 80.6MIN: 24.62 / MAX: 110.19MIN: 23.49 / MAX: 49.31MIN: 23.44 / MAX: 36.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18Ryzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X246810SE +/- 0.31, N = 3SE +/- 0.25, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 77.087.776.607.46MIN: 6.25 / MAX: 13.9MIN: 7.02 / MAX: 14.55MIN: 6.42 / MAX: 12.76MIN: 7.15 / MAX: 14.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X1.12052.2413.36154.4825.6025SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 74.604.984.284.86MIN: 4.43 / MAX: 11.35MIN: 4.73 / MAX: 10.59MIN: 4.13 / MAX: 10.29MIN: 4.63 / MAX: 9.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50Ryzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.18, N = 3SE +/- 0.19, N = 3SE +/- 0.27, N = 3SE +/- 0.12, N = 712.4712.3811.8612.17MIN: 11.8 / MAX: 20.06MIN: 11.55 / MAX: 20.74MIN: 11.44 / MAX: 44.27MIN: 11.51 / MAX: 20.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X48121620SE +/- 0.47, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 714.7314.2414.2814.21MIN: 13.78 / MAX: 20.88MIN: 13.88 / MAX: 55.6MIN: 13.99 / MAX: 17.85MIN: 13.76 / MAX: 41.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.26, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 711.5711.7811.7212.14MIN: 10.88 / MAX: 89.31MIN: 11.23 / MAX: 63.22MIN: 11.48 / MAX: 18.6MIN: 11.7 / MAX: 20.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 711.0610.0511.9611.48MIN: 10.51 / MAX: 18MIN: 9.63 / MAX: 43.59MIN: 11.54 / MAX: 15.93MIN: 10.72 / MAX: 48.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X20406080100SE +/- 0.54, N = 3SE +/- 0.26, N = 3SE +/- 1.49, N = 3SE +/- 0.63, N = 792.6584.5782.0375.76MIN: 91.31 / MAX: 100.98MIN: 83.77 / MAX: 112.37MIN: 80.21 / MAX: 86.13MIN: 74.12 / MAX: 90.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X1.0532.1063.1594.2125.265SE +/- 0.07, N = 3SE +/- 0.19, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 74.364.224.684.46MIN: 4.18 / MAX: 4.8MIN: 3.94 / MAX: 4.84MIN: 4.55 / MAX: 6.08MIN: 4.27 / MAX: 5.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenFOAM

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X61218243026.2125.0223.9122.791. (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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X4080120160200138.74171.62125.99161.671. (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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X4080120160200193.36199.34178.11190.941. (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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X50010001500200025001948.062161.561863.952126.101. (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

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per DirectionRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X48121620SE +/- 0.05, N = 4SE +/- 0.05, N = 4SE +/- 0.02, N = 4SE +/- 0.04, N = 412.6914.6112.5414.631. (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

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X1530456075SE +/- 0.70, N = 4SE +/- 0.82, N = 3SE +/- 0.66, N = 4SE +/- 0.31, N = 361.9668.2258.7766.211. (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

Open Porous Media Git

This is a test of Open Porous Media, a set of open-source tools concerning simulation of flow and transport of fluids in porous media. This test profile builds OPM and its dependencies from upstream Git. Learn more via the OpenBenchmarking.org test page.

OPM Benchmark: Upscale-Relperm - Threads: 16

Ryzen 9 7900X3D: The test run did not produce a result. E: There are not enough slots available in the system to satisfy the 16

Ryzen 9 7900X: The test run did not produce a result. E: There are not enough slots available in the system to satisfy the 16

Ryzen 9 79500X3D: The test run did not produce a result. E: mpirun was unable to launch the specified application as it could not access

Ryzen 9 7950X: The test run did not produce a result. E: mpirun was unable to launch the specified application as it could not access

OPM Benchmark: Flow MPI Norne - Threads: 16

Ryzen 9 7900X3D: The test run did not produce a result. E: There are not enough slots available in the system to satisfy the 16

Ryzen 9 7900X: The test run did not produce a result. E: There are not enough slots available in the system to satisfy the 16

Ryzen 9 79500X3D: The test run did not produce a result. E: mpirun was unable to launch the specified application as it could not access

Ryzen 9 7950X: The test run did not produce a result. E: mpirun was unable to launch the specified application as it could not access

OPM Benchmark: Flow MPI Norne-4C MSW - Threads: 16

Ryzen 9 7900X3D: The test run did not produce a result. E: There are not enough slots available in the system to satisfy the 16

Ryzen 9 7900X: The test run did not produce a result. E: There are not enough slots available in the system to satisfy the 16

Ryzen 9 79500X3D: The test run did not produce a result. E: mpirun was unable to launch the specified application as it could not access

Ryzen 9 7950X: The test run did not produce a result. E: mpirun was unable to launch the specified application as it could not access

OPM Benchmark: Flow MPI Extra - Threads: 16

Ryzen 9 7900X3D: The test run did not produce a result. E: There are not enough slots available in the system to satisfy the 16

Ryzen 9 7900X: The test run did not produce a result. E: There are not enough slots available in the system to satisfy the 16

Ryzen 9 79500X3D: The test run did not produce a result. E: mpirun was unable to launch the specified application as it could not access

Ryzen 9 7950X: The test run did not produce a result. E: mpirun was unable to launch the specified application as it could not access

OPM Benchmark: Drogon - Threads: 16

Ryzen 9 7900X3D: The test run did not produce a result. E: There are not enough slots available in the system to satisfy the 16

Ryzen 9 7900X: The test run did not produce a result. E: There are not enough slots available in the system to satisfy the 16

Ryzen 9 79500X3D: The test run did not produce a result. E: mpirun was unable to launch the specified application as it could not access

Ryzen 9 7950X: The test run did not produce a result. E: mpirun was unable to launch the specified application as it could not access

OPM Benchmark: SPE10 Model 1 - Threads: 16

Ryzen 9 7900X3D: The test run did not produce a result. E: There are not enough slots available in the system to satisfy the 16

Ryzen 9 7900X: The test run did not produce a result. E: There are not enough slots available in the system to satisfy the 16

Ryzen 9 79500X3D: The test run did not produce a result. E: mpirun was unable to launch the specified application as it could not access

Ryzen 9 7950X: The test run did not produce a result. E: mpirun was unable to launch the specified application as it could not access

OPM Benchmark: SPE10 Model 2 - Threads: 16

Ryzen 9 7900X3D: The test run did not produce a result. E: There are not enough slots available in the system to satisfy the 16

Ryzen 9 7900X: The test run did not produce a result. E: There are not enough slots available in the system to satisfy the 16

Ryzen 9 79500X3D: The test run did not produce a result. E: mpirun was unable to launch the specified application as it could not access

Ryzen 9 7950X: The test run did not produce a result. E: mpirun was unable to launch the specified application as it could not access

OPM Benchmark: Smeaheia - Threads: 16

Ryzen 9 7900X3D: The test run did not produce a result. E: There are not enough slots available in the system to satisfy the 16

Ryzen 9 7900X: The test run did not produce a result. E: There are not enough slots available in the system to satisfy the 16

Ryzen 9 79500X3D: The test run did not produce a result. E: mpirun was unable to launch the specified application as it could not access

Ryzen 9 7950X: The test run did not produce a result. E: mpirun was unable to launch the specified application as it could not access

OPM Benchmark: PUNQ-S3 - Threads: 16

Ryzen 9 7900X3D: The test run did not produce a result. E: There are not enough slots available in the system to satisfy the 16

Ryzen 9 7900X: The test run did not produce a result. E: There are not enough slots available in the system to satisfy the 16

Ryzen 9 79500X3D: The test run did not produce a result. E: mpirun was unable to launch the specified application as it could not access

Ryzen 9 7950X: The test run did not produce a result. E: mpirun was unable to launch the specified application as it could not access

KTX-Software toktx

This is a benchmark of The Khronos Group's KTX-Software library and tools. KTX-Software provides "toktx" for converting/creating in the KTX container format for image textures. This benchmark times how long it takes to convert to KTX 2.0 format with various settings using a reference PNG sample input. Learn more via the OpenBenchmarking.org test page.

Settings: Zstd Compression 9

Ryzen 9 7900X3D: The test run did not produce a result.

Ryzen 9 7900X: The test run did not produce a result.

Ryzen 9 79500X3D: The test run did not produce a result.

Ryzen 9 7950X: The test run did not produce a result.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: Zstd Compression 19Ryzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.03, N = 4SE +/- 0.07, N = 4SE +/- 0.06, N = 5SE +/- 0.05, N = 511.5311.6411.4611.22

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 3Ryzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X246810SE +/- 0.004, N = 6SE +/- 0.006, N = 7SE +/- 0.019, N = 7SE +/- 0.003, N = 76.3745.9445.1264.885

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 3 + Zstd Compression 19Ryzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X3691215SE +/- 0.014, N = 5SE +/- 0.013, N = 5SE +/- 0.012, N = 5SE +/- 0.005, N = 510.0379.6988.7478.405

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 4 + Zstd Compression 19Ryzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X4080120160200SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.21, N = 3169.17157.11126.30119.50

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 22.1Input: Carbon NanotubeRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X306090120150SE +/- 0.15, N = 3SE +/- 0.21, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3143.15150.87126.90138.011. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

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

Ryzen 9 7900X3D: The test run did not produce a result.

Ryzen 9 7900X: The test run did not produce a result.

Ryzen 9 79500X3D: The test run did not produce a result.

Ryzen 9 7950X: The test run did not produce a result.

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

Ryzen 9 7900X3D: The test run did not produce a result.

Ryzen 9 7900X: The test run did not produce a result.

Ryzen 9 79500X3D: The test run did not produce a result.

Ryzen 9 7950X: The test run did not produce a result.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of StateRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X0.16450.3290.49350.6580.8225SE +/- 0.011, N = 12SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.7260.7140.7310.727

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral MixingRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X0.24320.48640.72960.97281.216SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.008, N = 3SE +/- 0.001, N = 31.0811.0571.0741.057

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

Ryzen 9 7900X3D: The test run did not produce a result.

Ryzen 9 7900X: The test run did not produce a result.

Ryzen 9 79500X3D: The test run did not produce a result.

Ryzen 9 7950X: The test run did not produce a result.

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

Ryzen 9 7900X3D: The test run did not produce a result.

Ryzen 9 7900X: The test run did not produce a result.

Ryzen 9 79500X3D: The test run did not produce a result.

Ryzen 9 7950X: The test run did not produce a result.

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

Ryzen 9 7900X3D: The test run did not produce a result.

Ryzen 9 7900X: The test run did not produce a result.

Ryzen 9 79500X3D: The test run did not produce a result.

Ryzen 9 7950X: The test run did not produce a result.

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

Ryzen 9 7900X3D: The test run did not produce a result.

Ryzen 9 7900X: The test run did not produce a result.

Ryzen 9 79500X3D: The test run did not produce a result.

Ryzen 9 7950X: The test run did not produce a result.

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

Ryzen 9 7900X3D: The test run did not produce a result.

Ryzen 9 7900X: The test run did not produce a result.

Ryzen 9 79500X3D: The test run did not produce a result.

Ryzen 9 7950X: The test run did not produce a result.

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

Ryzen 9 7900X3D: The test run did not produce a result.

Ryzen 9 7900X: The test run did not produce a result.

Ryzen 9 79500X3D: The test run did not produce a result.

Ryzen 9 7950X: The test run did not produce a result.

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

Ryzen 9 7900X3D: The test run did not produce a result.

Ryzen 9 7900X: The test run did not produce a result.

Ryzen 9 79500X3D: The test run did not produce a result.

Ryzen 9 7950X: The test run did not produce a result.

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

Ryzen 9 7900X3D: The test run did not produce a result.

Ryzen 9 7900X: The test run did not produce a result.

Ryzen 9 79500X3D: The test run did not produce a result.

Ryzen 9 7950X: The test run did not produce a result.

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsRyzen 9 7900X3DRyzen 9 7900XRyzen 9 79500X3DRyzen 9 7950X1122334455SE +/- 0.07, N = 3SE +/- 0.50, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 331.2849.6329.1847.001. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

143 Results Shown

srsRAN:
  4G PHY_DL_Test 100 PRB SISO 64-QAM
  4G PHY_DL_Test 100 PRB SISO 256-QAM
  4G PHY_DL_Test 100 PRB MIMO 64-QAM
  4G PHY_DL_Test 100 PRB MIMO 256-QAM
  5G PHY_DL_NR Test 52 PRB SISO 64-QAM
OpenVINO:
  Face Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Vehicle Detection FP16 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
Embree:
  Pathtracer - Asian Dragon
  Pathtracer - Asian Dragon Obj
  Pathtracer - Crown
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer ISPC - Crown
ACES DGEMM
Xmrig:
  Monero - 1M
  Wownero - 1M
TensorFlow:
  CPU - 16 - ResNet-50
  CPU - 16 - AlexNet
  CPU - 16 - GoogLeNet
  CPU - 32 - ResNet-50
  CPU - 32 - AlexNet
  CPU - 32 - GoogLeNet
  CPU - 64 - ResNet-50
  CPU - 64 - AlexNet
  CPU - 64 - GoogLeNet
  CPU - 256 - ResNet-50
  CPU - 256 - AlexNet
  CPU - 256 - GoogLeNet
ONNX Runtime:
  yolov4 - CPU - Standard
  yolov4 - CPU - Parallel
  fcn-resnet101-11 - CPU - Standard
  fcn-resnet101-11 - CPU - Parallel
  super-resolution-10 - CPU - Standard
  super-resolution-10 - CPU - Parallel
  bertsquad-12 - CPU - Standard
  bertsquad-12 - CPU - Parallel
  GPT-2 - CPU - Standard
  GPT-2 - CPU - Parallel
  ArcFace ResNet-100 - CPU - Standard
  ArcFace ResNet-100 - CPU - Parallel
  ResNet50 v1-12-int8 - CPU - Standard
  ResNet50 v1-12-int8 - CPU - Parallel
  CaffeNet 12-int8 - CPU - Standard
  CaffeNet 12-int8 - CPU - Parallel
  Faster R-CNN R-50-FPN-int8 - CPU - Standard
  Faster R-CNN R-50-FPN-int8 - CPU - Parallel
ASKAP
Zstd Compression:
  3 - Compression Speed
  3 - Decompression Speed
  3, Long Mode - Compression Speed
  3, Long Mode - Decompression Speed
  8 - Compression Speed
  8 - Decompression Speed
  8, Long Mode - Compression Speed
  8, Long Mode - Decompression Speed
  12 - Compression Speed
  12 - Decompression Speed
  19 - Compression Speed
  19 - Decompression Speed
  19, Long Mode - Compression Speed
  19, Long Mode - Decompression Speed
ASKAP:
  tConvolve OpenMP - Gridding
  tConvolve OpenMP - Degridding
  tConvolve MT - Gridding
  tConvolve MT - Degridding
  tConvolve MPI - Degridding
  tConvolve MPI - Gridding
LeelaChessZero:
  BLAS
  Eigen
GROMACS
ClickHouse:
  100M Rows Hits Dataset, First Run / Cold Cache
  100M Rows Hits Dataset, Second Run
  100M Rows Hits Dataset, Third Run
srsRAN:
  OFDM_Test
  4G PHY_DL_Test 100 PRB SISO 64-QAM
  4G PHY_DL_Test 100 PRB SISO 256-QAM
  4G PHY_DL_Test 100 PRB MIMO 64-QAM
  4G PHY_DL_Test 100 PRB MIMO 256-QAM
  5G PHY_DL_NR Test 52 PRB SISO 64-QAM
LULESH
Pennant:
  leblancbig
  sedovbig
OpenVINO:
  Face Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Vehicle Detection FP16 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
oneDNN:
  Convolution Batch Shapes Auto - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU
  IP Shapes 1D - bf16bf16bf16 - CPU
  IP Shapes 3D - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
  CPU - vision_transformer
  CPU - FastestDet
OpenFOAM:
  drivaerFastback, Small Mesh Size - Mesh Time
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Mesh Time
  drivaerFastback, Medium Mesh Size - Execution Time
Xcompact3d Incompact3d:
  input.i3d 129 Cells Per Direction
  input.i3d 193 Cells Per Direction
KTX-Software toktx:
  Zstd Compression 19
  UASTC 3
  UASTC 3 + Zstd Compression 19
  UASTC 4 + Zstd Compression 19
GPAW
PyHPC Benchmarks:
  CPU - Numpy - 4194304 - Equation of State
  CPU - Numpy - 4194304 - Isoneutral Mixing
CloverLeaf