7773x

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  Test
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a
May 02 2023
  3 Hours, 1 Minute
b
May 02 2023
  4 Hours, 10 Minutes
5 a
May 04 2023
  4 Hours, 53 Minutes
5 b
May 04 2023
  59 Minutes
5 2p a
May 04 2023
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5 2p b
May 04 2023
  5 Hours, 22 Minutes
7373x
May 08 2023
  3 Hours, 34 Minutes
2 x AMD EPYC 7373X 16-Core
May 08 2023
  4 Hours, 5 Minutes
7373X 2P
May 08 2023
  3 Hours, 57 Minutes
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7773x ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen Resolutionab5 a5 b5 2p a5 2p b7373x2 x AMD EPYC 7373X 16-Core7373X 2PAMD EPYC 7773X 64-Core @ 2.20GHz (64 Cores / 128 Threads)AMD DAYTONA_X (RYM1009B BIOS)AMD Starship/Matisse256GB3841GB Micron_9300_MTFDHAL3T8TDPASPEEDVE2282 x Mellanox MT27710Ubuntu 22.045.15.0-47-generic (x86_64)GNOME Shell 42.4X Server 1.21.1.31.2.204GCC 11.2.0ext41920x1080AMD EPYC 7573X 32-Core @ 2.80GHz (32 Cores / 64 Threads)2 x AMD EPYC 7573X 32-Core @ 2.80GHz (64 Cores / 128 Threads)512GBAMD EPYC 7373X 16-Core @ 3.05GHz (16 Cores / 32 Threads)256GB2 x AMD EPYC 7373X 16-Core @ 3.05GHz (32 Cores / 64 Threads)512GBOpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/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-build-config=bootstrap-lto-lean --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: 0xa001229Python Details- Python 3.10.6Security 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 and seccomp + 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 + srbds: Not affected + tsx_async_abort: Not affected

ab5 a5 b5 2p a5 2p b7373x2 x AMD EPYC 7373X 16-Core7373X 2PResult OverviewPhoronix Test Suite100%174%248%322%396%ACES DGEMMOpenFOAMSPECFEM3DEmbreeJohn The RipperTimed LLVM CompilationOpenVKLTimed FFmpeg CompilationSVT-AV1VVenCFFmpegQuantLib

7773x ncnn: CPU - googlenetncnn: CPU - mobilenetncnn: CPU - resnet50ncnn: CPU - efficientnet-b0ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - resnet18ncnn: CPU - regnety_400mncnn: CPU - FastestDetlczero: Eigenncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - alexnetopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timelczero: BLASopenvino: Person Vehicle Bike Detection FP16 - CPUlulesh: openvino: Vehicle Detection FP16 - CPUmt-dgemm: Sustained Floating-Point Ratespecfem3d: Mount St. Helensopenvino: Vehicle Detection FP16-INT8 - CPUjohn-the-ripper: bcryptjohn-the-ripper: Blowfishjohn-the-ripper: WPA PSKblender: Classroom - CPU-Onlyopenvino: Weld Porosity Detection FP16-INT8 - CPUspecfem3d: Layered Halfspaceblender: Barbershop - CPU-Onlyaskap: tConvolve MPI - Degriddingopenvino: Face Detection FP16-INT8 - CPUspecfem3d: Homogeneous Halfspacecompress-7zip: Decompression Ratingblender: Pabellon Barcelona - CPU-Onlyopenvino: Weld Porosity Detection FP16 - CPUblender: BMW27 - CPU-Onlyjohn-the-ripper: MD5opencv: Coreembree: Pathtracer - Crownblender: Fishy Cat - CPU-Onlyembree: Pathtracer ISPC - Crownpennant: leblancbigspecfem3d: Water-layered Halfspaceopenvino: Person Detection FP32 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Face Detection FP16 - CPUaskap: tConvolve MPI - Griddingembree: Pathtracer ISPC - Asian Dragon Objopencv: Object Detectionspecfem3d: Tomographic Modelembree: Pathtracer - Asian Dragonembree: Pathtracer ISPC - Asian Dragonpennant: sedovbigembree: Pathtracer - Asian Dragon Objncnn: CPU - squeezenet_ssdonednn: Convolution Batch Shapes Auto - f32 - CPUbuild-llvm: Ninjagromacs: MPI CPU - water_GMX50_bareincompact3d: input.i3d 129 Cells Per Directioncloverleaf: Lagrangian-Eulerian Hydrodynamicsopenvino: Age Gender Recognition Retail 0013 FP16 - CPUcompress-7zip: Compression Ratingncnn: CPU - yolov4-tinyopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenfoam: drivaerFastback, Small Mesh Size - Execution Timeincompact3d: input.i3d 193 Cells Per Directiononednn: Deconvolution Batch shapes_1d - f32 - CPUpetsc: Streamsjohn-the-ripper: HMAC-SHA512onednn: IP Shapes 1D - f32 - CPUopenvkl: vklBenchmark ISPCopencv: DNN - Deep Neural Networkonednn: IP Shapes 3D - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUopencv: Graph APIopenfoam: drivaerFastback, Medium Mesh Size - Execution Timencnn: CPU - mnasnetncnn: CPU - blazefaceaskap: Hogbom Clean OpenMPonednn: Recurrent Neural Network Inference - f32 - CPUbuild-llvm: Unix Makefilesbuild-ffmpeg: Time To Compileaskap: tConvolve OpenMP - Griddingaskap: tConvolve MT - Griddingopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUncnn: CPU - vgg16openvino: Person Detection FP32 - CPUopenvino: Person Detection FP16 - CPUopencv: Stitchingopenvino: Face Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUaskap: tConvolve MT - Degriddingsvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Konednn: Recurrent Neural Network Training - f32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUaskap: tConvolve OpenMP - Degriddingopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUsvt-av1: Preset 13 - Bosphorus 4Kopenvino: Person Vehicle Bike Detection FP16 - CPUvvenc: Bosphorus 1080p - Fastersvt-av1: Preset 12 - Bosphorus 1080pclickhouse: 100M Rows Hits Dataset, First Run / Cold Cachevvenc: Bosphorus 4K - Fasterffmpeg: libx265 - Liveffmpeg: libx265 - Livesvt-av1: Preset 4 - Bosphorus 4Kclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runsvt-av1: Preset 8 - Bosphorus 1080popenfoam: drivaerFastback, Small Mesh Size - Mesh Timecompress-zstd: 8, Long Mode - Compression Speedcompress-zstd: 8 - Compression Speedcompress-zstd: 3, Long Mode - Compression Speedvvenc: Bosphorus 1080p - Fastsvt-av1: Preset 13 - Bosphorus 1080pvvenc: Bosphorus 4K - Fastncnn: CPU - vision_transformercompress-zstd: 12 - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedcompress-zstd: 8 - Decompression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 3, Long Mode - Decompression Speedcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 3 - Decompression Speedcompress-zstd: 12 - Decompression Speedsvt-av1: Preset 4 - Bosphorus 1080pquantlib: draco: Church Facadeffmpeg: libx265 - Video On Demandffmpeg: libx265 - Video On Demandcompress-zstd: 3 - Compression Speeddraco: Lionffmpeg: libx265 - Platformffmpeg: libx265 - Platformespeak: Text-To-Speech Synthesisffmpeg: libx265 - Uploadffmpeg: libx265 - Uploadz3: 1.smt2z3: 2.smt2ab5 a5 b5 2p a5 2p b7373x2 x AMD EPYC 7373X 16-Core7373X 2P25.34858329.38349611.678414616862308646020138872.4530.518912661260.8317.20934908288.7627.61553400069.107734.7763.371128.08154095064.511713.86220230078.475173.844670.5238165.7077.29040.45056813679600047040.481652246.95716.92873.442222.837195.92430.006604.84211.367105.7847.744.863109.98424.72995716.552552.2416.28610.2952746.55793173.4743.67486743.73173.2321.59116.9319.0917.8419.5815.4411.310.8953.5219.08514210.2915.67.13120.3933755541888.222257.1371205.1129.0456911.753321461889.05912768736020295772.022674.2930.115899704259.8732799.527.0316.81708024641121388.731198.4527.655430007706134.6163.36475.10407827.4675402738.04138.848.0512.1636827.564.64093191013.53017939473.8289.5636119.320.827622164.4497.2994.4380412111.3435737.8239692823.9238091.4640.24442817.21184736.9214556185.75041351650001.26107469397561.246183.12487235810363.735911.718.12806.452749.622248.48117.04220481.25493.351.621.7424.0439273911.972011602608.3426.68230.278308.3367.548214.9331183.6323.921175.0119018.326.5416.93198.13516.9330.114601.984428.5111.364106.9847.2067748894.826439.07437.35109.71125.596085744.5988.5752.616.374549.8346.128133.39270.81190.813901276.817.61300.81434.29.31277.31445.910.2342692.45833172.53393950643.902819488543.90172.5695669428.15721.62116.8091581414.1113.714.89.036.468.1226.349.2512386.197.735.48117.437814191252.0520920.487841.4917.874518.862199071244.866019260325130848113.311767.1349.136149469408.7920991.717.9224.987445867244220136.58822.1942.5236210006834343.949252.6840.24087.97402245.709427135.4792.615.488.2324990.139.19412773919.08966485748.522844.911814.0011143.958914.851.14656230.3785.0225.0675640112.0925209.6227191819.9827340.9650.74590419.63050084.4956531992.6068960590001.37996340399970.625932.76234206970428.65926.083.82869.565679.645290.53920.37817750.46599.681.161.2621.082886.122881.041840321935.619.45172.539611.0565.337220.8131182.6118.1886.4119018.31912.84199.6912.7731.837629.3437.2011.961110.4945.714.743457.81456.30107.38222.337396792.11067.8854.216.846571.0846.406126.26289.11229.11438.81304.218.21361.51460.19.541326.51478.110.762756.95718161.5446.892856.6476046.70162.1927.82622.95110.01117.604518.640319.355553092601526034513107248.73867645425.089622797360500043.978740.119944.33457433539.223619.63009634248.507445.105444.1884231.09150.69975294924000339427.71276297.22320.6470.856226.733196.06331.795622.73212.02110.2945.794.76108.36422.70639917.253560.5656.3910.8282820.422.93110.1493.2977.7780.8135.1227.738.94100.6540.45828621.2633.2718.699.38414582842523.5742030.0381632.8131.3445159.6094538682504.3611850211857925941358.553501.6925.221006745213.641983.334.8314.49141946945399671.641594.1422.59684500081.450827.9673.33014.29473123.93606599710.64175.4810.5415.8649980.164.409111.22476781376.806773.96127.65636968.692237.170.674336138.7178.2852.4865429415.6739455.8640373938.133.00107910.624130210.5221790020002.678014520.9118061.85167205.4639238.4914.65436.6811212.84219.40315.45512102.57738.591.3733.552946.972975.152013.5220.06182.112506.762.836169.1121390.3618.26914.241664119.5812.76169.65812.6624.492540.729445.189.57492.5254.584.784463.68461.53107.122.563946702.81024808.514.812525.1545.548144.31283.61222.91437.51315.6181332.31454.79.571306.71482.710.412760.95682168.45694118644.972783.7473444.31170.94271146327.86822.38112.819760537112.43115.68120.2760.7938.6751.8128.3553.25781628.8837.8928.5599.9326879912524.0542551.8981623.8331.7608769.594769352498.7411754211777125845758.573504.1525.472190291213.4641983.334.9114.41593115844074071.731592.7122.51668300023644581.091327.973.26024.41801223.26803264110.64176.7610.6315.7651199.164.04418855311.79752558576.628773.77797.79332568.702235.810.669349138.5658.2222.4838690815.5138800.3439684445.8940352.4832.97431610.762441610.368574130.1789732600002.88451452871330.9172261.89859419702203.6511849.4624.56434.7831305.96221.78915.34412678.97176.411.331.432.812952.762948.392874922020.2120.07180.9111068.869.536176.1071385.3318.25912.4215662.119.6912.79172.57312.6624.268565.057440.569.906107.2947.074.842467.46448.03104.16923.335275702.21013.4741.515.044546.0345.768145.49282.81227.11441.11312181336.51445.19.51309.51498.910.4952850.85729173.05225728343.772775.9481843.64173.5600295828.13722.10114.26177556211.7612.2313.256.974.927.0517.67.3517144.55.864.76149.003721955598.410188.248400.078.02433637.795953129652.03315733165170803212.97964.1991.272692415768.94116629.7151.264616343128235252.02454.978.75195900023.58995.9621.385114.5090978.6002645433.1652.663.174.741543520.104535.50584661924.907323.568423.8794723.358712.711.93416391.7922.9856.8646898318.2614994.7615587918.2316278.2578.74933425.21746066.82625596800001.874462130.6097463.77803596.969164.522.4729.927906.609433.97129.97913312.88783.70.971.0620.472496.522493.981684.8617.58151.7310352.649.204152.1941760.4916.58821.361479219.9912.26147.35413.3631.274487.076351.0111.224114.6344.063.993386.60384.9692.98426.386727727913.5865.415.801506.5175.719140.06305.11312.91523.91389.619.214131541.710.11281.11557.210.0232854.15406162.3346.662661456346.671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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: googlenet7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab30609012015045.4127.6311.76112.4393.2914.1119.09MIN: 28.42 / MAX: 186.92MIN: 23.37 / MAX: 37.04MIN: 29.99 / MAX: 148.59MIN: 52.46 / MAX: 137.19MIN: 18.77 / MAX: 25.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenet7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab30609012015079.8267.1512.23115.6877.7713.7017.84MIN: 65.63 / MAX: 95.23MIN: 21.26 / MAX: 78.89MIN: 64.45 / MAX: 159.93MIN: 67.11 / MAX: 156MIN: 17.55 / MAX: 25.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet507373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab30609012015030.7125.3813.25120.2780.8114.8019.58MIN: 27.2 / MAX: 36.97MIN: 22.8 / MAX: 34.84MIN: 42.99 / MAX: 192.41MIN: 62.51 / MAX: 112.38MIN: 19.15 / MAX: 44.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b07373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab142842567046.6946.676.9760.7935.129.0315.44MIN: 36.92 / MAX: 81.01MIN: 36.84 / MAX: 52.67MIN: 6.9 / MAX: 7.4MIN: 47.67 / MAX: 141.85MIN: 33.83 / MAX: 41.96MIN: 8.93 / MAX: 11.07MIN: 13.63 / MAX: 18.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v27373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab91827364533.1628.854.9238.6727.706.4611.30MIN: 24.4 / MAX: 44MIN: 18.28 / MAX: 40.64MIN: 4.84 / MAX: 5.41MIN: 28.02 / MAX: 119.64MIN: 23.18 / MAX: 43.54MIN: 6.35 / MAX: 8.73MIN: 9.74 / MAX: 14.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet187373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab122436486015.1413.627.0551.8038.948.1210.89MIN: 13.62 / MAX: 18.75MIN: 13.43 / MAX: 16.6MIN: 6.95 / MAX: 7.65MIN: 16.09 / MAX: 93.56MIN: 16.05 / MAX: 124.98MIN: 8.01 / MAX: 10.04MIN: 10.68 / MAX: 11.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400m7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab30609012015084.8886.2217.60128.35100.6526.3453.52MIN: 80.66 / MAX: 90.33MIN: 82.8 / MAX: 122.51MIN: 17.32 / MAX: 18.74MIN: 111.43 / MAX: 240.27MIN: 97.81 / MAX: 136.12MIN: 25.99 / MAX: 28.26MIN: 50.93 / MAX: 71.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDet7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab122436486039.4821.367.3553.2540.459.2519.08MIN: 21.82 / MAX: 52.04MIN: 19.71 / MAX: 29.28MIN: 7.23 / MAX: 7.88MIN: 30.07 / MAX: 66.77MIN: 27.4 / MAX: 462.07MIN: 9.12 / MAX: 9.81MIN: 13.65 / MAX: 21.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: Eigen7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab2K4K6K8K10K13571450171478168286123851421. (CXX) g++ options: -flto -pthread

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-v3-v3 - Model: mobilenet-v37373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab71421283529.5224.194.5028.8821.266.1910.29MIN: 25.64 / MAX: 34.13MIN: 19.28 / MAX: 34.5MIN: 4.43 / MAX: 5.26MIN: 23.66 / MAX: 168.43MIN: 20.79 / MAX: 28.25MIN: 6.05 / MAX: 6.93MIN: 9.51 / MAX: 11.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v27373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab91827364531.6531.885.8637.8933.277.7315.60MIN: 28.59 / MAX: 37.25MIN: 27.33 / MAX: 35.67MIN: 5.76 / MAX: 6.62MIN: 34.63 / MAX: 113.32MIN: 29.37 / MAX: 96.69MIN: 7.58 / MAX: 9.71MIN: 12.95 / MAX: 19.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnet7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab71421283510.299.784.7628.5518.605.487.13MIN: 9.46 / MAX: 14.07MIN: 9.12 / MAX: 10.95MIN: 4.68 / MAX: 5.71MIN: 12.6 / MAX: 62.18MIN: 17.59 / MAX: 34.64MIN: 5.36 / MAX: 6.34MIN: 6.97 / MAX: 7.761. (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, Medium Mesh Size - Mesh Time7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba306090120150116.27114.45149.0099.9399.38117.60117.44120.3925.351. (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

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: BLAS7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab2K4K6K8K10K17091676195579918284141955541. (CXX) g++ options: -flto -pthread

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab50010001500200025001181.75598.402524.052523.571252.051888.201. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

LULESH

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

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.37373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab9K18K27K36K45K27107.1427032.9010188.2542551.9042030.0420920.4922257.141. (CXX) g++ options: -O3 -fopenmp -lm -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.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab400800120016002000786.17400.071623.831632.81841.491205.111. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

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 Rate7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba714212835SE +/- 0.247911, N = 1514.70415314.4816478.02433631.76087631.34451518.64030017.87450029.04569029.3834961. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point Rate7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba714212835Min: 27.54 / Avg: 29.38 / Max: 30.611. (CC) gcc options: -O3 -march=native -fopenmp

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Mount St. Helens7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba918273645SE +/- 0.038048290, N = 317.82039039518.40662976937.7959531299.5947693509.60945386819.35555309218.86219907011.75332146011.6784146161. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Mount St. Helens7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba816243240Min: 11.64 / Avg: 11.68 / Max: 11.751. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab50010001500200025001274.04652.032498.742504.361244.861889.051. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcrypt7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba30K60K90K120K150KSE +/- 99.80, N = 3625516236031573117542118502601526019291276862301. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcrypt7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba20K40K60K80K100KMin: 86064 / Avg: 86230 / Max: 864091. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: Blowfish7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba30K60K90K120K150KSE +/- 185.66, N = 3623026224431651117771118579603456032587360864601. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: Blowfish7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba20K40K60K80K100KMin: 86256 / Avg: 86460.33 / Max: 868311. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSK7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba60K120K180K240K300KSE +/- 297.59, N = 3139127136260708032584572594131310721308482029572013881. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSK7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba40K80K120K160K200KMin: 200910 / Avg: 201387.67 / Max: 2019341. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Classroom - Compute: CPU-Only7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba50100150200250SE +/- 0.17, N = 3108.06108.30212.9758.5758.55113.3172.0272.45
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Classroom - Compute: CPU-Only7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba4080120160200Min: 72.11 / Avg: 72.45 / Max: 72.63

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab80016002400320040001914.22964.193504.153501.691767.132674.291. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Layered Halfspace7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba20406080100SE +/- 0.29, N = 349.8348.7291.2725.4725.2248.7449.1430.1230.521. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Layered Halfspace7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba20406080100Min: 30.19 / Avg: 30.52 / Max: 31.091. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Barbershop - Compute: CPU-Only7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba170340510680850SE +/- 0.09, N = 3396.80393.87768.94213.46213.60408.79259.87260.83
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Barbershop - Compute: CPU-Only7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba140280420560700Min: 260.65 / Avg: 260.83 / Max: 260.96

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.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - Degridding7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab9K18K27K36K45K21420.121866.311662.041983.341983.320991.732799.51. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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-INT8 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab81624324019.319.7134.9134.8317.9227.031. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Homogeneous Halfspace7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba1224364860SE +/- 0.20, N = 323.9023.2751.2614.4214.4925.0924.9916.8217.211. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Homogeneous Halfspace7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba1020304050Min: 16.84 / Avg: 17.21 / Max: 17.551. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Rating7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab100K200K300K400K500K2361362326231282354407404539962442204112131. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Pabellon Barcelona - Compute: CPU-Only7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba60120180240300SE +/- 0.10, N = 3127.50127.96252.0271.7371.64136.5888.7388.76
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Pabellon Barcelona - Compute: CPU-Only7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba50100150200250Min: 88.58 / Avg: 88.76 / Max: 88.91

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab30060090012001500892.67454.901592.711594.14822.191198.451. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: BMW27 - Compute: CPU-Only7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba20406080100SE +/- 0.03, N = 340.4740.6178.7522.5122.5942.5227.6027.61
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: BMW27 - Compute: CPU-Only7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba1530456075Min: 27.55 / Avg: 27.61 / Max: 27.66

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: MD57373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba1.5M3M4.5M6M7.5MSE +/- 1000.00, N = 33739000373500019590006683000684500036050003621000554300055340001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: MD57373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba1.2M2.4M3.6M4.8M6MMin: 5532000 / Avg: 5534000 / Max: 55350001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Core7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b5 ab50K100K150K200K250K987388562123644568343770611. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Crown7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aa20406080100SE +/- 0.05, N = 344.2244.8823.5981.0981.4543.9843.9569.11MIN: 43.54 / MAX: 44.81MIN: 44.32 / MAX: 45.69MIN: 23.47 / MAX: 23.76MIN: 80.03 / MAX: 82.56MIN: 80.49 / MAX: 83.06MIN: 43.29 / MAX: 44.67MIN: 43.49 / MAX: 44.42MIN: 68.18 / MAX: 71.75
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Crown7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aa1632486480Min: 69.01 / Avg: 69.11 / Max: 69.18

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Fishy Cat - Compute: CPU-Only7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba20406080100SE +/- 0.04, N = 349.4449.2795.9627.9027.9652.6834.6134.77
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Fishy Cat - Compute: CPU-Only7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba20406080100Min: 34.7 / Avg: 34.77 / Max: 34.82

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Crown7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba1632486480SE +/- 0.11, N = 340.0040.3621.3973.2673.3340.1240.2463.3663.37MIN: 39.56 / MAX: 40.59MIN: 39.78 / MAX: 41.03MIN: 21.25 / MAX: 21.62MIN: 72.13 / MAX: 74.82MIN: 71.99 / MAX: 75.06MIN: 39.64 / MAX: 40.56MIN: 39.64 / MAX: 40.95MIN: 62.44 / MAX: 66.52MIN: 62.18 / MAX: 66.58
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Crown7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba1428425670Min: 63.2 / Avg: 63.37 / Max: 63.57

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: leblancbig7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab481216207.4197397.46537314.5090904.4180124.2947317.9740225.1040781. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Water-layered Halfspace7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba20406080100SE +/- 0.13, N = 343.8643.7878.6023.2723.9444.3345.7127.4728.081. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Water-layered Halfspace7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba1530456075Min: 27.83 / Avg: 28.08 / Max: 28.281. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab36912156.103.1610.6410.645.478.041. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab408012016020098.3952.66176.76175.4892.61138.841. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab36912156.173.1710.6310.545.488.051. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab481216208.864.7415.7615.868.2312.161. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

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.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - Gridding7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab11K22K33K44K55K29155.129155.115435.051199.149980.124990.136827.51. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragon Obj7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba1428425670SE +/- 0.03, N = 334.8635.2420.1064.0464.4139.2239.1964.6464.51MIN: 34.63 / MAX: 35.47MIN: 35.01 / MAX: 35.91MIN: 20.01 / MAX: 21.52MIN: 63.29 / MAX: 64.92MIN: 63.78 / MAX: 65.49MIN: 39 / MAX: 39.63MIN: 38.97 / MAX: 39.59MIN: 64.13 / MAX: 65.46MIN: 63.96 / MAX: 66.18
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragon Obj7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba1326395265Min: 64.46 / Avg: 64.51 / Max: 64.56

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Object Detection7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b5 ab20K40K60K80K100K32187318508855327739319101. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Tomographic Model7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba816243240SE +/- 0.15, N = 318.3318.0335.5111.8011.2219.6319.0913.5313.861. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Tomographic Model7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba816243240Min: 13.57 / Avg: 13.86 / Max: 14.071. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragon7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aa20406080100SE +/- 0.14, N = 342.7442.8324.9176.6376.8148.5148.5278.48MIN: 42.44 / MAX: 44.03MIN: 42.56 / MAX: 43.84MIN: 24.47 / MAX: 26.52MIN: 75.97 / MAX: 78.17MIN: 76.07 / MAX: 77.73MIN: 48.29 / MAX: 48.79MIN: 48.32 / MAX: 48.91MIN: 77.64 / MAX: 80.46
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragon7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aa1530456075Min: 78.2 / Avg: 78.48 / Max: 78.68

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragon7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba1632486480SE +/- 0.01, N = 340.1840.5123.5773.7873.9645.1144.9173.8373.84MIN: 39.87 / MAX: 41.09MIN: 40.25 / MAX: 41.33MIN: 23.24 / MAX: 24.98MIN: 72.91 / MAX: 74.82MIN: 73.12 / MAX: 75.27MIN: 44.88 / MAX: 45.48MIN: 44.68 / MAX: 45.26MIN: 73.34 / MAX: 74.66MIN: 73.31 / MAX: 75.9
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragon7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba1428425670Min: 73.83 / Avg: 73.84 / Max: 73.86

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: sedovbig7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab61218243013.31026013.28648023.8794707.7933257.65636914.0011109.5636101. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragon Obj7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aa1632486480SE +/- 0.08, N = 338.4338.7823.3668.7068.6944.1943.9670.52MIN: 38.17 / MAX: 39.69MIN: 38.54 / MAX: 39.74MIN: 22.36 / MAX: 24.19MIN: 67.96 / MAX: 69.64MIN: 68.03 / MAX: 70.15MIN: 43.94 / MAX: 44.51MIN: 43.73 / MAX: 44.3MIN: 69.67 / MAX: 71.94
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragon Obj7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aa1428425670Min: 70.37 / Avg: 70.52 / Max: 70.63

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: squeezenet_ssd7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab91827364523.8922.5812.7135.8137.1714.8519.32MIN: 22.35 / MAX: 46.47MIN: 21.5 / MAX: 36.98MIN: 12.37 / MAX: 13.22MIN: 29.14 / MAX: 58.45MIN: 30.62 / MAX: 51.54MIN: 14.49 / MAX: 25.32MIN: 18.86 / MAX: 22.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab0.43520.87041.30561.74082.1761.0434801.0345601.9341600.6693490.6743361.1465600.827622MIN: 0.98MIN: 0.98MIN: 1.89MIN: 0.6MIN: 0.62MIN: 1.09MIN: 0.781. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

Timed LLVM Compilation

This test times how long it takes to compile/build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Ninja7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba80160240320400SE +/- 0.08, N = 3212.52211.49391.79138.57138.72231.09230.38164.45165.71
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Ninja7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba70140210280350Min: 165.62 / Avg: 165.71 / Max: 165.87

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_bare7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba246810SE +/- 0.026, N = 35.1935.2482.9858.2228.2855.0227.2997.2901. (CXX) g++ options: -O3
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bare7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba3691215Min: 7.25 / Avg: 7.29 / Max: 7.341. (CXX) g++ options: -O3

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 Direction7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab2468104.753952983.932473906.864689832.483869082.486542945.067564014.438041211. (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

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 Hydrodynamics7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab71421283528.5930.6718.2615.5115.6712.0911.341. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab8K16K24K32K40K29028.2514994.7638800.3439455.8625209.6235737.821. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Rating7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab90K180K270K360K450K2438622418031558793968444037392719183969281. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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: yolov4-tiny7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab102030405033.7431.9818.2345.8938.1019.9823.92MIN: 28.02 / MAX: 43.18MIN: 26.72 / MAX: 48.39MIN: 17.97 / MAX: 23.77MIN: 34.08 / MAX: 64.66MIN: 29.08 / MAX: 101.85MIN: 19.53 / MAX: 23.19MIN: 23.17 / MAX: 30.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 ab9K18K27K36K45K31155.5916278.2540352.4827340.9638091.461. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenFOAM

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution Time7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba2040608010074.5976.0978.7532.9733.0050.7050.7540.2440.451. (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 193 Cells Per Direction7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab61218243013.7213.8025.2210.7610.6219.6317.211. (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

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 3.1Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab36912155.879515.787986.8262510.3685010.522104.495656.92145MIN: 4.97MIN: 4.87MIN: 5.9MIN: 8.54MIN: 8.88MIN: 3.9MIN: 6.321. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

PETSc

PETSc, the Portable, Extensible Toolkit for Scientific Computation, is for the scalable (parallel) solution of scientific applications modeled by partial differential equations. This test profile runs the PETSc "make streams" benchmark and records the throughput rate when all available cores are utilized for the MPI Streams build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterPETSc 3.19Test: Streams5 2p b5 ab16K32K48K64K80K74130.1831992.6156185.751. (CC) gcc options: -fPIC -O3 -O2 -lpthread -ludev -lpciaccess -lm

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: HMAC-SHA5127373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba30M60M90M120M150MSE +/- 266743.32, N = 3685300006721300059680000732600007900200094924000960590001351650001367960001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: HMAC-SHA5127373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba20M40M60M80M100MMin: 136336000 / Avg: 136796000 / Max: 1372600001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

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 3.1Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab0.6491.2981.9472.5963.2452.174962.058181.874462.884512.678011.379961.26107MIN: 1.61MIN: 1.58MIN: 1.72MIN: 1.79MIN: 1.89MIN: 1.25MIN: 1.061. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenVKL

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

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPC7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba100200300400500SE +/- 0.33, N = 3306309213452452339340469470MIN: 54 / MAX: 1694MIN: 54 / MAX: 1845MIN: 29 / MAX: 1843MIN: 99 / MAX: 2013MIN: 98 / MAX: 1875MIN: 54 / MAX: 2307MIN: 55 / MAX: 2309MIN: 84 / MAX: 2565MIN: 84 / MAX: 2616
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPC7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba80160240320400Min: 469 / Avg: 469.67 / Max: 470

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: DNN - Deep Neural Network7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b5 ab20K40K60K80K100K82360656578713339997397561. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -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 3.1Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab0.28040.56080.84121.12161.4020.9481430.7508530.6097460.9172260.9118060.6259301.246180MIN: 0.62MIN: 0.57MIN: 0.57MIN: 0.77MIN: 0.78MIN: 0.57MIN: 1.131. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab0.85011.70022.55033.40044.25052.733572.700573.778031.898591.851672.762343.12487MIN: 2.6MIN: 2.52MIN: 3.69MIN: 1.58MIN: 1.61MIN: 2.59MIN: 2.061. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Graph API7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b5 ab90K180K270K360K450K3637452630674197022069702358101. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

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, Medium Mesh Size - Execution Time7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba130260390520650332.03334.90596.97203.65205.46427.71428.66363.7440.481. (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

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: mnasnet7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab112233445538.9837.624.5249.4638.496.0811.71MIN: 32.96 / MAX: 44.92MIN: 29.31 / MAX: 44.7MIN: 36.42 / MAX: 176.46MIN: 25.51 / MAX: 75.24MIN: 6.01 / MAX: 6.54MIN: 9.43 / MAX: 20.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazeface7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab61218243018.7518.402.4024.5614.653.828.12MIN: 15.74 / MAX: 22.59MIN: 16.72 / MAX: 22.27MIN: 20.64 / MAX: 91.2MIN: 11.34 / MAX: 73.36MIN: 3.45 / MAX: 79.74MIN: 6.94 / MAX: 11.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 OpenMP7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab2004006008001000458.72458.72729.93434.78436.68869.57806.451. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 3.1Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab300600900120015001349.921177.81906.611305.961212.84679.65749.62MIN: 1150.78MIN: 1030.68MIN: 898.73MIN: 1060.61MIN: 1070.52MIN: 664.64MIN: 731.751. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

Timed LLVM Compilation

This test times how long it takes to compile/build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix Makefiles7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba90180270360450SE +/- 0.96, N = 3271.83277.06433.97221.79219.40297.22290.54248.48246.96
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix Makefiles7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba80160240320400Min: 245.11 / Avg: 246.96 / Max: 248.33

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.0Time To Compile7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba714212835SE +/- 0.03, N = 319.7019.5629.9815.3415.4620.6420.3817.0416.93
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.0Time To Compile7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba714212835Min: 16.89 / Avg: 16.93 / Max: 16.98

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 - Gridding7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab4K8K12K16K20K12102.511576.313312.812678.912102.517750.420481.21. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - Gridding7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab2K4K6K8K10K9605.639627.348783.707176.417738.596599.685493.351. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 ab0.36450.7291.09351.4581.82251.010.971.331.161.62MIN: 0.6 / MAX: 20.54MIN: 0.58 / MAX: 12.03MIN: 0.64 / MAX: 26.34MIN: 0.66 / MAX: 12.23MIN: 0.69 / MAX: 13.341. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab0.39150.7831.17451.5661.95751.091.061.401.371.261.74MIN: 0.64 / MAX: 18.03MIN: 0.62 / MAX: 11.46MIN: 0.68 / MAX: 42.1MIN: 0.67 / MAX: 28.86MIN: 0.69 / MAX: 12.96MIN: 0.84 / MAX: 14.571. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

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: vgg167373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab81624324029.8232.7720.4732.8133.5521.0824.04MIN: 27.79 / MAX: 34.74MIN: 29.33 / MAX: 38.66MIN: 20.22 / MAX: 21.34MIN: 30.06 / MAX: 44.76MIN: 28.65 / MAX: 42.53MIN: 20.78 / MAX: 24.35MIN: 23.49 / MAX: 30.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab80016002400320040002595.652496.522952.762946.972886.123927.00MIN: 2193.47 / MAX: 2987.27MIN: 1381.65 / MAX: 2622.64MIN: 2193.59 / MAX: 3652.32MIN: 2004.15 / MAX: 3534.38MIN: 1694.68 / MAX: 3104.67MIN: 3402.58 / MAX: 4474.471. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab80016002400320040002547.352493.982948.392975.152881.043911.97MIN: 1516.1 / MAX: 2961.68MIN: 2275.06 / MAX: 2587.16MIN: 1547.54 / MAX: 3537.3MIN: 2241.37 / MAX: 3616.82MIN: 1536.21 / MAX: 3142.35MIN: 3337.4 / MAX: 4451.631. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Stitching7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b5 ab60K120K180K240K300K2281232329772874921840322011601. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

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: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab60012001800240030001782.061684.862020.212013.521935.602608.34MIN: 1650.91 / MAX: 2051.03MIN: 1636.65 / MAX: 1721.46MIN: 1823.96 / MAX: 3111.51MIN: 1890.96 / MAX: 2802.82MIN: 1852.05 / MAX: 1974.19MIN: 2421.38 / MAX: 2754.891. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab61218243017.9117.5820.0720.0619.4526.68MIN: 9.87 / MAX: 67.23MIN: 15.76 / MAX: 27.27MIN: 13.26 / MAX: 75.83MIN: 11.41 / MAX: 47.48MIN: 11.98 / MAX: 28.4MIN: 15.32 / MAX: 46.541. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab50100150200250162.50151.73180.91182.10172.53230.27MIN: 133.61 / MAX: 274.15MIN: 131.11 / MAX: 163.85MIN: 124.49 / MAX: 288.01MIN: 117.14 / MAX: 548.18MIN: 81.35 / MAX: 207.95MIN: 166.99 / MAX: 311.891. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

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 MT - Degridding7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab3K6K9K12K15K12025.7011891.4010352.6011068.8012506.709611.058308.331. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 8 - Input: Bosphorus 4K7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba1632486480SE +/- 0.56, N = 1258.7058.3649.2069.5462.8470.8665.3467.5573.441. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 8 - Input: Bosphorus 4K7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba1428425670Min: 67.5 / Avg: 73.44 / Max: 74.671. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 12 - Input: Bosphorus 4K7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba50100150200250SE +/- 0.73, N = 3162.78163.33152.19176.11169.11226.73220.81214.93222.841. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 12 - Input: Bosphorus 4K7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba4080120160200Min: 221.44 / Avg: 222.84 / Max: 223.91. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 3.1Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab4008001200160020001370.611377.391760.491385.331390.361182.611183.63MIN: 1312.47MIN: 1316MIN: 1746.27MIN: 1314.76MIN: 1287.43MIN: 1161.83MIN: 1162.731. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab61218243016.7016.5818.2518.2618.1023.92MIN: 9.01 / MAX: 41.25MIN: 12.62 / MAX: 25.96MIN: 8.84 / MAX: 40.73MIN: 10.53 / MAX: 60.19MIN: 9.23 / MAX: 28.11MIN: 15.02 / MAX: 35.741. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab30060090012001500826.77821.36912.42914.24886.411175.01MIN: 796.91 / MAX: 888.72MIN: 798.88 / MAX: 834.55MIN: 878.63 / MAX: 988.74MIN: 797.83 / MAX: 966.84MIN: 851.09 / MAX: 900.44MIN: 982.69 / MAX: 1202.211. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

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 - Degridding7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab4K8K12K16K20K13312.813312.814792.015662.116641.019018.319018.31. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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: Vehicle Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab61218243020.3319.9919.6919.5819.0026.54MIN: 14.4 / MAX: 46.38MIN: 12.45 / MAX: 25.77MIN: 11.03 / MAX: 75.83MIN: 11.25 / MAX: 73.87MIN: 13.62 / MAX: 32.75MIN: 14.19 / MAX: 63.191. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab4812162012.5412.2612.7912.7612.8416.93MIN: 9.03 / MAX: 28.23MIN: 7.79 / MAX: 21.63MIN: 7.68 / MAX: 43.18MIN: 7.65 / MAX: 43.58MIN: 6.96 / MAX: 23.28MIN: 10.73 / MAX: 31.241. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 13 - Input: Bosphorus 4K7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba4080120160200SE +/- 0.70, N = 3159.26166.54147.35172.57169.66196.06199.69198.14195.921. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 13 - Input: Bosphorus 4K7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba4080120160200Min: 194.6 / Avg: 195.92 / Max: 196.971. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab4812162013.5213.3612.6612.6612.7716.93MIN: 10.48 / MAX: 44.97MIN: 8.79 / MAX: 23.44MIN: 8.38 / MAX: 48.88MIN: 7.58 / MAX: 53.45MIN: 7.39 / MAX: 23.62MIN: 13.88 / MAX: 33.111. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 1080p - Video Preset: Faster7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba714212835SE +/- 0.03, N = 324.2224.3131.2724.2724.4931.8031.8430.1130.011. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 1080p - Video Preset: Faster7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba714212835Min: 29.97 / Avg: 30.01 / Max: 30.071. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 12 - Input: Bosphorus 1080p7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba140280420560700SE +/- 2.97, N = 3522.16525.64487.08565.06540.73622.73629.30601.98604.841. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 12 - Input: Bosphorus 1080p7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba110220330440550Min: 601.6 / Avg: 604.84 / Max: 610.771. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 Cache7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab100200300400500420.94420.29351.01440.56445.18437.20428.51MIN: 24.79 / MAX: 3750MIN: 24.7 / MAX: 5454.55MIN: 13.78 / MAX: 6666.67MIN: 40.98 / MAX: 4000MIN: 41.18 / MAX: 3157.89MIN: 24.3 / MAX: 6000MIN: 34.8 / MAX: 5454.55

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 4K - Video Preset: Faster7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba3691215SE +/- 0.022, N = 310.08310.12711.2249.9069.57412.02011.96111.36411.3671. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 4K - Video Preset: Faster7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba48121620Min: 11.34 / Avg: 11.37 / Max: 11.411. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Live7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba306090120150SE +/- 0.29, N = 399.82111.07114.63107.2992.52110.29110.49106.98105.781. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Live7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba20406080100Min: 105.22 / Avg: 105.78 / Max: 106.161. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Live7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba1224364860SE +/- 0.13, N = 350.5945.4744.0647.0754.5845.7945.7147.2147.741. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Live7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba1122334455Min: 47.57 / Avg: 47.74 / Max: 47.991. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 4 - Input: Bosphorus 4K7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba1.09422.18843.28264.37685.471SE +/- 0.021, N = 34.6764.6443.9934.8424.7844.7604.7434.8264.8631. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 4 - Input: Bosphorus 4K7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba246810Min: 4.83 / Avg: 4.86 / Max: 4.91. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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, Second Run7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab100200300400500433.56438.36386.60467.46463.68457.81439.07MIN: 24.58 / MAX: 4285.71MIN: 25.08 / MAX: 4285.71MIN: 13.7 / MAX: 6666.67MIN: 40.6 / MAX: 4615.38MIN: 41.64 / MAX: 4615.38MIN: 24.13 / MAX: 5454.55MIN: 35.82 / MAX: 6000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third Run7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab100200300400500436.29429.56384.96448.03461.53456.30437.35MIN: 24.91 / MAX: 3750MIN: 25.01 / MAX: 4615.38MIN: 13.8 / MAX: 6666.67MIN: 41.38 / MAX: 2608.7MIN: 41.49 / MAX: 3000MIN: 24.65 / MAX: 5454.55MIN: 35.59 / MAX: 5454.55

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 8 - Input: Bosphorus 1080p7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba20406080100SE +/- 1.23, N = 5101.82100.5992.98104.17107.10108.36107.38109.71109.981. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 8 - Input: Bosphorus 1080p7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba20406080100Min: 107 / Avg: 109.98 / Max: 114.241. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 Time7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba61218243024.6724.2726.3923.3422.5622.7122.3425.6024.731. (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

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: 8, Long Mode - Compression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab2004006008001000671.6680.9727.0702.2702.8792.1744.51. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab2004006008001000992.41022.3913.51013.41024.01067.8988.51. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Compression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab2004006008001000813.6854.9865.4741.5808.5854.2752.61. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 1080p - Video Preset: Fast7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba48121620SE +/- 0.10, N = 314.9414.7915.8015.0414.8117.2516.8516.3716.551. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 1080p - Video Preset: Fast7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba48121620Min: 16.37 / Avg: 16.55 / Max: 16.711. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 13 - Input: Bosphorus 1080p7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba120240360480600SE +/- 5.77, N = 3490.99510.79506.52546.03525.15560.57571.08549.83552.241. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 13 - Input: Bosphorus 1080p7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba100200300400500Min: 544.71 / Avg: 552.24 / Max: 563.581. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 4K - Video Preset: Fast7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba246810SE +/- 0.010, N = 35.7745.8775.7195.7685.5486.3906.4066.1286.2861. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 4K - Video Preset: Fast7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba3691215Min: 6.27 / Avg: 6.29 / Max: 6.311. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

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: vision_transformer7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab306090120150144.55145.33140.06145.49144.31126.26133.39MIN: 140.93 / MAX: 165.57MIN: 142.5 / MAX: 157.84MIN: 137.05 / MAX: 145.39MIN: 141.27 / MAX: 245.34MIN: 140.5 / MAX: 157.63MIN: 125.42 / MAX: 132.03MIN: 129.7 / MAX: 252.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: 12 - Compression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab70140210280350295.0288.9305.1282.8283.6289.1270.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab300600900120015001292.11289.91312.91227.11222.91229.11190.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab300600900120015001518.11523.61523.91441.11437.51438.81390.01. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab300600900120015001394.31375.81389.61312.01315.61304.21276.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab51015202518.918.619.218.018.018.217.61. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Decompression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab300600900120015001414.11415.41413.01336.51332.31361.51300.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Decompression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab300600900120015001538.41559.81541.71445.11454.71460.11434.21. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab369121510.1010.1010.109.509.579.549.301. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Decompression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab300600900120015001362.41384.11281.11309.51306.71326.51277.31. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab300600900120015001552.01563.01557.21498.91482.71478.11445.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 4 - Input: Bosphorus 1080p7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba3691215SE +/- 0.02, N = 310.4310.2010.0210.5010.4110.8310.7610.2310.301. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 4 - Input: Bosphorus 1080p7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba3691215Min: 10.26 / Avg: 10.3 / Max: 10.331. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

QuantLib

QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.307373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba6001200180024003000SE +/- 25.52, N = 32907.32894.22854.12850.82760.92820.42756.92692.42746.51. (CXX) g++ options: -O3 -march=native -fPIE -pie
OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.307373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba5001000150020002500Min: 2695.8 / Avg: 2746.53 / Max: 2776.81. (CXX) g++ options: -O3 -march=native -fPIE -pie

Google Draco

Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: Church Facade7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba13002600390052006500SE +/- 3.21, N = 3548554985406572956825718583357931. (CXX) g++ options: -O3
OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: Church Facade7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba10002000300040005000Min: 5788 / Avg: 5793 / Max: 57991. (CXX) g++ options: -O3

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On Demand7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba4080120160200SE +/- 0.15, N = 3170.68165.87162.33173.05168.46161.54172.53173.471. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On Demand7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba306090120150Min: 173.28 / Avg: 173.47 / Max: 173.771. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On Demand7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba1122334455SE +/- 0.04, N = 344.3845.6746.6643.7744.9746.8943.9043.671. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On Demand7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba1020304050Min: 43.59 / Avg: 43.67 / Max: 43.711. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab60012001800240030002801.42842.32661.02775.92783.72856.62819.01. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

Google Draco

Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: Lion7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba10002000300040005000SE +/- 7.02, N = 3461446424563481847344760488548671. (CXX) g++ options: -O3
OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: Lion7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba8001600240032004000Min: 4859 / Avg: 4867 / Max: 48811. (CXX) g++ options: -O3

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Platform7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba1122334455SE +/- 0.02, N = 345.7244.5646.6743.6444.3146.7043.9043.731. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Platform7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba1020304050Min: 43.7 / Avg: 43.73 / Max: 43.771. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Platform7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba4080120160200SE +/- 0.08, N = 3165.70169.99162.30173.56170.94162.19172.57173.231. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Platform7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 aba306090120150Min: 173.07 / Avg: 173.23 / Max: 173.361. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab71421283526.5126.4726.5128.1427.8727.8328.161. (CC) gcc options: -O2 -std=c99

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Upload7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba510152025SE +/- 0.01, N = 322.3522.2122.8322.1022.3822.9322.9521.6221.591. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Upload7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba510152025Min: 21.58 / Avg: 21.59 / Max: 21.611. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Upload7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba306090120150SE +/- 0.05, N = 3112.96113.67110.61114.26112.82110.14110.01116.81116.931. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Upload7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba20406080100Min: 116.83 / Avg: 116.93 / Max: 117.011. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Z3 Theorem Prover

The Z3 Theorem Prover / SMT solver is developed by Microsoft Research under the MIT license. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterZ3 Theorem Prover 4.12.1SMT File: 1.smt27373X 2P2 x AMD EPYC 7373X 16-Core51015202521.7221.221. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is BetterZ3 Theorem Prover 4.12.1SMT File: 2.smt27373X 2P2 x AMD EPYC 7373X 16-Core163248648070.5170.291. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC

145 Results Shown

NCNN:
  CPU - googlenet
  CPU - mobilenet
  CPU - resnet50
  CPU - efficientnet-b0
  CPU-v2-v2 - mobilenet-v2
  CPU - resnet18
  CPU - regnety_400m
  CPU - FastestDet
LeelaChessZero
NCNN:
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - alexnet
OpenFOAM
LeelaChessZero
OpenVINO
LULESH
OpenVINO
ACES DGEMM
SPECFEM3D
OpenVINO
John The Ripper:
  bcrypt
  Blowfish
  WPA PSK
Blender
OpenVINO
SPECFEM3D
Blender
ASKAP
OpenVINO
SPECFEM3D
7-Zip Compression
Blender
OpenVINO
Blender
John The Ripper
OpenCV
Embree
Blender
Embree
Pennant
SPECFEM3D
OpenVINO:
  Person Detection FP32 - CPU
  Machine Translation EN To DE FP16 - CPU
  Person Detection FP16 - CPU
  Face Detection FP16 - CPU
ASKAP
Embree
OpenCV
SPECFEM3D
Embree:
  Pathtracer - Asian Dragon
  Pathtracer ISPC - Asian Dragon
Pennant
Embree
NCNN
oneDNN
Timed LLVM Compilation
GROMACS
Xcompact3d Incompact3d
CloverLeaf
OpenVINO
7-Zip Compression
NCNN
OpenVINO
OpenFOAM
Xcompact3d Incompact3d
oneDNN
PETSc
John The Ripper
oneDNN
OpenVKL
OpenCV
oneDNN:
  IP Shapes 3D - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
OpenCV
OpenFOAM
NCNN:
  CPU - mnasnet
  CPU - blazeface
ASKAP
oneDNN
Timed LLVM Compilation
Timed FFmpeg Compilation
ASKAP:
  tConvolve OpenMP - Gridding
  tConvolve MT - Gridding
OpenVINO:
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
NCNN
OpenVINO:
  Person Detection FP32 - CPU
  Person Detection FP16 - CPU
OpenCV
OpenVINO:
  Face Detection FP16 - CPU
  Weld Porosity Detection FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
ASKAP
SVT-AV1:
  Preset 8 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
oneDNN
OpenVINO:
  Weld Porosity Detection FP16-INT8 - CPU
  Face Detection FP16-INT8 - CPU
ASKAP
OpenVINO:
  Vehicle Detection FP16 - CPU
  Vehicle Detection FP16-INT8 - CPU
SVT-AV1
OpenVINO
VVenC
SVT-AV1
ClickHouse
VVenC
FFmpeg:
  libx265 - Live:
    FPS
    Seconds
SVT-AV1
ClickHouse:
  100M Rows Hits Dataset, Second Run
  100M Rows Hits Dataset, Third Run
SVT-AV1
OpenFOAM
Zstd Compression:
  8, Long Mode - Compression Speed
  8 - Compression Speed
  3, Long Mode - Compression Speed
VVenC
SVT-AV1
VVenC
NCNN
Zstd Compression:
  12 - Compression Speed
  19, Long Mode - Decompression Speed
  8 - Decompression Speed
  19 - Decompression Speed
  19 - Compression Speed
  3, Long Mode - Decompression Speed
  8, Long Mode - Decompression Speed
  19, Long Mode - Compression Speed
  3 - Decompression Speed
  12 - Decompression Speed
SVT-AV1
QuantLib
Google Draco
FFmpeg:
  libx265 - Video On Demand:
    Seconds
    FPS
Zstd Compression
Google Draco
FFmpeg:
  libx265 - Platform:
    FPS
    Seconds
eSpeak-NG Speech Engine
FFmpeg:
  libx265 - Upload:
    FPS
    Seconds
Z3 Theorem Prover:
  1.smt2
  2.smt2