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
  4 Hours, 1 Minute
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: googlenet7373x5 ab2 x AMD EPYC 7373X 16-Core7373X 2P5 2p a5 2p b30609012015011.7614.1119.0927.6345.4193.29112.43MIN: 18.77 / MAX: 25.76MIN: 23.37 / MAX: 37.04MIN: 28.42 / MAX: 186.92MIN: 52.46 / MAX: 137.19MIN: 29.99 / MAX: 148.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenet7373x5 ab2 x AMD EPYC 7373X 16-Core5 2p a7373X 2P5 2p b30609012015012.2313.7017.8467.1577.7779.82115.68MIN: 17.55 / MAX: 25.78MIN: 21.26 / MAX: 78.89MIN: 67.11 / MAX: 156MIN: 65.63 / MAX: 95.23MIN: 64.45 / MAX: 159.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet507373x5 ab2 x AMD EPYC 7373X 16-Core7373X 2P5 2p a5 2p b30609012015013.2514.8019.5825.3830.7180.81120.27MIN: 19.15 / MAX: 44.79MIN: 22.8 / MAX: 34.84MIN: 27.2 / MAX: 36.97MIN: 62.51 / MAX: 112.38MIN: 42.99 / MAX: 192.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b07373x5 ab5 2p a2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b14284256706.979.0315.4435.1246.6746.6960.79MIN: 6.9 / MAX: 7.4MIN: 8.93 / MAX: 11.07MIN: 13.63 / MAX: 18.67MIN: 33.83 / MAX: 41.96MIN: 36.84 / MAX: 52.67MIN: 36.92 / MAX: 81.01MIN: 47.67 / MAX: 141.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v27373x5 ab5 2p a2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b9182736454.926.4611.3027.7028.8533.1638.67MIN: 4.84 / MAX: 5.41MIN: 6.35 / MAX: 8.73MIN: 9.74 / MAX: 14.96MIN: 23.18 / MAX: 43.54MIN: 18.28 / MAX: 40.64MIN: 24.4 / MAX: 44MIN: 28.02 / MAX: 119.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet187373x5 ab2 x AMD EPYC 7373X 16-Core7373X 2P5 2p a5 2p b12243648607.058.1210.8913.6215.1438.9451.80MIN: 6.95 / MAX: 7.65MIN: 8.01 / MAX: 10.04MIN: 10.68 / MAX: 11.74MIN: 13.43 / MAX: 16.6MIN: 13.62 / MAX: 18.75MIN: 16.05 / MAX: 124.98MIN: 16.09 / MAX: 93.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400m7373x5 ab7373X 2P2 x AMD EPYC 7373X 16-Core5 2p a5 2p b30609012015017.6026.3453.5284.8886.22100.65128.35MIN: 17.32 / MAX: 18.74MIN: 25.99 / MAX: 28.26MIN: 50.93 / MAX: 71.06MIN: 80.66 / MAX: 90.33MIN: 82.8 / MAX: 122.51MIN: 97.81 / MAX: 136.12MIN: 111.43 / MAX: 240.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDet7373x5 ab2 x AMD EPYC 7373X 16-Core7373X 2P5 2p a5 2p b12243648607.359.2519.0821.3639.4840.4553.25MIN: 7.23 / MAX: 7.88MIN: 9.12 / MAX: 9.81MIN: 13.65 / MAX: 21.7MIN: 19.71 / MAX: 29.28MIN: 21.82 / MAX: 52.04MIN: 27.4 / MAX: 462.07MIN: 30.07 / MAX: 66.771. (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: Eigen5 2p a5 2p bb7373x2 x AMD EPYC 7373X 16-Core7373X 2P5 a2K4K6K8K10K82867816514217141450135712381. (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-v37373x5 ab5 2p a2 x AMD EPYC 7373X 16-Core5 2p b7373X 2P7142128354.506.1910.2921.2624.1928.8829.52MIN: 4.43 / MAX: 5.26MIN: 6.05 / MAX: 6.93MIN: 9.51 / MAX: 11.93MIN: 20.79 / MAX: 28.25MIN: 19.28 / MAX: 34.5MIN: 23.66 / MAX: 168.43MIN: 25.64 / MAX: 34.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v27373x5 ab7373X 2P2 x AMD EPYC 7373X 16-Core5 2p a5 2p b9182736455.867.7315.6031.6531.8833.2737.89MIN: 5.76 / MAX: 6.62MIN: 7.58 / MAX: 9.71MIN: 12.95 / MAX: 19.73MIN: 28.59 / MAX: 37.25MIN: 27.33 / MAX: 35.67MIN: 29.37 / MAX: 96.69MIN: 34.63 / MAX: 113.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnet7373x5 ab2 x AMD EPYC 7373X 16-Core7373X 2P5 2p a5 2p b7142128354.765.487.139.7810.2918.6028.55MIN: 4.68 / MAX: 5.71MIN: 5.36 / MAX: 6.34MIN: 6.97 / MAX: 7.76MIN: 9.12 / MAX: 10.95MIN: 9.46 / MAX: 14.07MIN: 17.59 / MAX: 34.64MIN: 12.6 / MAX: 62.181. (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 Timea5 2p a5 2p b2 x AMD EPYC 7373X 16-Core7373X 2P5 a5 bb7373x30609012015025.3599.3899.93114.45116.27117.44117.60120.39149.001. (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: BLAS5 2p a5 2p bb7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 a2K4K6K8K10K82847991555419551709167614191. (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: CPU5 2p b5 2p ab5 a2 x AMD EPYC 7373X 16-Core7373x50010001500200025002524.052523.571888.201252.051181.75598.401. (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 2.0.35 2p b5 2p a7373X 2P2 x AMD EPYC 7373X 16-Coreb5 a7373x9K18K27K36K45K42551.9042030.0427107.1427032.9022257.1420920.4910188.251. (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: CPU5 2p a5 2p bb5 a2 x AMD EPYC 7373X 16-Core7373x4008001200160020001632.811623.831205.11841.49786.17400.071. (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 Rate5 2p b5 2p aab5 b5 a7373X 2P2 x AMD EPYC 7373X 16-Core7373x714212835SE +/- 0.247911, N = 1531.76087631.34451529.38349629.04569018.64030017.87450014.70415314.4816478.0243361. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point Rate5 2p b5 2p aab5 b5 a7373X 2P2 x AMD EPYC 7373X 16-Core7373x714212835Min: 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. Helens5 2p b5 2p aab7373X 2P2 x AMD EPYC 7373X 16-Core5 a5 b7373x918273645SE +/- 0.038048290, N = 39.5947693509.60945386811.67841461611.75332146017.82039039518.40662976918.86219907019.35555309237.7959531291. (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. Helens5 2p b5 2p aab7373X 2P2 x AMD EPYC 7373X 16-Core5 a5 b7373x816243240Min: 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: CPU5 2p a5 2p bb2 x AMD EPYC 7373X 16-Core5 a7373x50010001500200025002504.362498.741889.051274.041244.86652.031. (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

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: bcrypt5 2p a5 2p bba7373X 2P2 x AMD EPYC 7373X 16-Core5 a5 b7373x30K60K90K120K150KSE +/- 99.80, N = 3118502117542912768623062551623606019260152315731. (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: bcrypt5 2p a5 2p bba7373X 2P2 x AMD EPYC 7373X 16-Core5 a5 b7373x20K40K60K80K100KMin: 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: Blowfish5 2p a5 2p bba7373X 2P2 x AMD EPYC 7373X 16-Core5 b5 a7373x30K60K90K120K150KSE +/- 185.66, N = 3118579117771873608646062302622446034560325316511. (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: Blowfish5 2p a5 2p bba7373X 2P2 x AMD EPYC 7373X 16-Core5 b5 a7373x20K40K60K80K100KMin: 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 PSK5 2p a5 2p bba7373X 2P2 x AMD EPYC 7373X 16-Core5 b5 a7373x60K120K180K240K300KSE +/- 297.59, N = 3259413258457202957201388139127136260131072130848708031. (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 PSK5 2p a5 2p bba7373X 2P2 x AMD EPYC 7373X 16-Core5 b5 a7373x40K80K120K160K200KMin: 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-Only5 2p a5 2p bba7373X 2P2 x AMD EPYC 7373X 16-Core5 a7373x50100150200250SE +/- 0.17, N = 358.5558.5772.0272.45108.06108.30113.31212.97
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Classroom - Compute: CPU-Only5 2p a5 2p bba7373X 2P2 x AMD EPYC 7373X 16-Core5 a7373x4080120160200Min: 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: CPU5 2p b5 2p ab2 x AMD EPYC 7373X 16-Core5 a7373x80016002400320040003504.153501.692674.291914.221767.13964.191. (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

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 Halfspace5 2p a5 2p bba2 x AMD EPYC 7373X 16-Core5 b5 a7373X 2P7373x20406080100SE +/- 0.29, N = 325.2225.4730.1230.5248.7248.7449.1449.8391.271. (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 Halfspace5 2p a5 2p bba2 x AMD EPYC 7373X 16-Core5 b5 a7373X 2P7373x20406080100Min: 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-Only5 2p b5 2p aba2 x AMD EPYC 7373X 16-Core7373X 2P5 a7373x170340510680850SE +/- 0.09, N = 3213.46213.60259.87260.83393.87396.80408.79768.94
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Barbershop - Compute: CPU-Only5 2p b5 2p aba2 x AMD EPYC 7373X 16-Core7373X 2P5 a7373x140280420560700Min: 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 - Degridding5 2p b5 2p ab2 x AMD EPYC 7373X 16-Core7373X 2P5 a7373x9K18K27K36K45K41983.341983.332799.521866.321420.120991.711662.01. (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: CPU5 2p b5 2p ab2 x AMD EPYC 7373X 16-Core5 a7373x81624324034.9134.8327.0319.3117.929.711. (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 Halfspace5 2p b5 2p aba2 x AMD EPYC 7373X 16-Core7373X 2P5 a5 b7373x1224364860SE +/- 0.20, N = 314.4214.4916.8217.2123.2723.9024.9925.0951.261. (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 Halfspace5 2p b5 2p aba2 x AMD EPYC 7373X 16-Core7373X 2P5 a5 b7373x1020304050Min: 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 Rating5 2p a5 2p bb5 a7373X 2P2 x AMD EPYC 7373X 16-Core7373x100K200K300K400K500K4539964407404112132442202361362326231282351. (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-Only5 2p a5 2p bba7373X 2P2 x AMD EPYC 7373X 16-Core5 a7373x60120180240300SE +/- 0.10, N = 371.6471.7388.7388.76127.50127.96136.58252.02
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Pabellon Barcelona - Compute: CPU-Only5 2p a5 2p bba7373X 2P2 x AMD EPYC 7373X 16-Core5 a7373x50100150200250Min: 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: CPU5 2p a5 2p bb2 x AMD EPYC 7373X 16-Core5 a7373x300600900120015001594.141592.711198.45892.67822.19454.901. (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-Only5 2p b5 2p aba7373X 2P2 x AMD EPYC 7373X 16-Core5 a7373x20406080100SE +/- 0.03, N = 322.5122.5927.6027.6140.4740.6142.5278.75
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: BMW27 - Compute: CPU-Only5 2p b5 2p aba7373X 2P2 x AMD EPYC 7373X 16-Core5 a7373x1530456075Min: 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: MD55 2p a5 2p bba7373X 2P2 x AMD EPYC 7373X 16-Core5 a5 b7373x1.5M3M4.5M6M7.5MSE +/- 1000.00, N = 36845000668300055430005534000373900037350003621000360500019590001. (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: MD55 2p a5 2p bba7373X 2P2 x AMD EPYC 7373X 16-Core5 a5 b7373x1.2M2.4M3.6M4.8M6MMin: 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: Core5 ab2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b50K100K150K200K250K683437706185621987382364451. (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: Crown5 2p a5 2p ba2 x AMD EPYC 7373X 16-Core7373X 2P5 b5 a7373x20406080100SE +/- 0.05, N = 381.4581.0969.1144.8844.2243.9843.9523.59MIN: 80.49 / MAX: 83.06MIN: 80.03 / MAX: 82.56MIN: 68.18 / MAX: 71.75MIN: 44.32 / MAX: 45.69MIN: 43.54 / MAX: 44.81MIN: 43.29 / MAX: 44.67MIN: 43.49 / MAX: 44.42MIN: 23.47 / MAX: 23.76
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Crown5 2p a5 2p ba2 x AMD EPYC 7373X 16-Core7373X 2P5 b5 a7373x1632486480Min: 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-Only5 2p b5 2p aba2 x AMD EPYC 7373X 16-Core7373X 2P5 a7373x20406080100SE +/- 0.04, N = 327.9027.9634.6134.7749.2749.4452.6895.96
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Fishy Cat - Compute: CPU-Only5 2p b5 2p aba2 x AMD EPYC 7373X 16-Core7373X 2P5 a7373x20406080100Min: 34.7 / Avg: 34.77 / Max: 34.82

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Crown5 2p a5 2p bab2 x AMD EPYC 7373X 16-Core5 a5 b7373X 2P7373x1632486480SE +/- 0.11, N = 373.3373.2663.3763.3640.3640.2440.1240.0021.39MIN: 71.99 / MAX: 75.06MIN: 72.13 / MAX: 74.82MIN: 62.18 / MAX: 66.58MIN: 62.44 / MAX: 66.52MIN: 39.78 / MAX: 41.03MIN: 39.64 / MAX: 40.95MIN: 39.64 / MAX: 40.56MIN: 39.56 / MAX: 40.59MIN: 21.25 / MAX: 21.62
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Crown5 2p a5 2p bab2 x AMD EPYC 7373X 16-Core5 a5 b7373X 2P7373x1428425670Min: 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: leblancbig5 2p a5 2p bb7373X 2P2 x AMD EPYC 7373X 16-Core5 a7373x481216204.2947314.4180125.1040787.4197397.4653737.97402214.5090901. (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 Halfspace5 2p b5 2p aba2 x AMD EPYC 7373X 16-Core7373X 2P5 b5 a7373x20406080100SE +/- 0.13, N = 323.2723.9427.4728.0843.7843.8644.3345.7178.601. (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 Halfspace5 2p b5 2p aba2 x AMD EPYC 7373X 16-Core7373X 2P5 b5 a7373x1530456075Min: 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: CPU5 2p b5 2p ab2 x AMD EPYC 7373X 16-Core5 a7373x369121510.6410.648.046.105.473.161. (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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPU5 2p b5 2p ab2 x AMD EPYC 7373X 16-Core5 a7373x4080120160200176.76175.48138.8498.3992.6152.661. (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: CPU5 2p b5 2p ab2 x AMD EPYC 7373X 16-Core5 a7373x369121510.6310.548.056.175.483.171. (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: CPU5 2p a5 2p bb2 x AMD EPYC 7373X 16-Core5 a7373x4812162015.8615.7612.168.868.234.741. (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

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 - Gridding5 2p b5 2p ab7373X 2P2 x AMD EPYC 7373X 16-Core5 a7373x11K22K33K44K55K51199.149980.136827.529155.129155.124990.115435.01. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragon Objba5 2p a5 2p b5 b5 a2 x AMD EPYC 7373X 16-Core7373X 2P7373x1428425670SE +/- 0.03, N = 364.6464.5164.4164.0439.2239.1935.2434.8620.10MIN: 64.13 / MAX: 65.46MIN: 63.96 / MAX: 66.18MIN: 63.78 / MAX: 65.49MIN: 63.29 / MAX: 64.92MIN: 39 / MAX: 39.63MIN: 38.97 / MAX: 39.59MIN: 35.01 / MAX: 35.91MIN: 34.63 / MAX: 35.47MIN: 20.01 / MAX: 21.52
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragon Objba5 2p a5 2p b5 b5 a2 x AMD EPYC 7373X 16-Core7373X 2P7373x1326395265Min: 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 Detection5 a2 x AMD EPYC 7373X 16-Coreb7373X 2P5 2p b20K40K60K80K100K27739318503191032187885531. (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 Model5 2p a5 2p bba2 x AMD EPYC 7373X 16-Core7373X 2P5 a5 b7373x816243240SE +/- 0.15, N = 311.2211.8013.5313.8618.0318.3319.0919.6335.511. (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 Model5 2p a5 2p bba2 x AMD EPYC 7373X 16-Core7373X 2P5 a5 b7373x816243240Min: 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 Dragona5 2p a5 2p b5 a5 b2 x AMD EPYC 7373X 16-Core7373X 2P7373x20406080100SE +/- 0.14, N = 378.4876.8176.6348.5248.5142.8342.7424.91MIN: 77.64 / MAX: 80.46MIN: 76.07 / MAX: 77.73MIN: 75.97 / MAX: 78.17MIN: 48.32 / MAX: 48.91MIN: 48.29 / MAX: 48.79MIN: 42.56 / MAX: 43.84MIN: 42.44 / MAX: 44.03MIN: 24.47 / MAX: 26.52
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragona5 2p a5 2p b5 a5 b2 x AMD EPYC 7373X 16-Core7373X 2P7373x1530456075Min: 78.2 / Avg: 78.48 / Max: 78.68

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragon5 2p aab5 2p b5 b5 a2 x AMD EPYC 7373X 16-Core7373X 2P7373x1632486480SE +/- 0.01, N = 373.9673.8473.8373.7845.1144.9140.5140.1823.57MIN: 73.12 / MAX: 75.27MIN: 73.31 / MAX: 75.9MIN: 73.34 / MAX: 74.66MIN: 72.91 / MAX: 74.82MIN: 44.88 / MAX: 45.48MIN: 44.68 / MAX: 45.26MIN: 40.25 / MAX: 41.33MIN: 39.87 / MAX: 41.09MIN: 23.24 / MAX: 24.98
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragon5 2p aab5 2p b5 b5 a2 x AMD EPYC 7373X 16-Core7373X 2P7373x1428425670Min: 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: sedovbig5 2p a5 2p bb2 x AMD EPYC 7373X 16-Core7373X 2P5 a7373x6121824307.6563697.7933259.56361013.28648013.31026014.00111023.8794701. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragon Obja5 2p b5 2p a5 b5 a2 x AMD EPYC 7373X 16-Core7373X 2P7373x1632486480SE +/- 0.08, N = 370.5268.7068.6944.1943.9638.7838.4323.36MIN: 69.67 / MAX: 71.94MIN: 67.96 / MAX: 69.64MIN: 68.03 / MAX: 70.15MIN: 43.94 / MAX: 44.51MIN: 43.73 / MAX: 44.3MIN: 38.54 / MAX: 39.74MIN: 38.17 / MAX: 39.69MIN: 22.36 / MAX: 24.19
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragon Obja5 2p b5 2p a5 b5 a2 x AMD EPYC 7373X 16-Core7373X 2P7373x1428425670Min: 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_ssd7373x5 ab2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b5 2p a91827364512.7114.8519.3222.5823.8935.8137.17MIN: 12.37 / MAX: 13.22MIN: 14.49 / MAX: 25.32MIN: 18.86 / MAX: 22.39MIN: 21.5 / MAX: 36.98MIN: 22.35 / MAX: 46.47MIN: 29.14 / MAX: 58.45MIN: 30.62 / MAX: 51.541. (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: CPU5 2p b5 2p ab2 x AMD EPYC 7373X 16-Core7373X 2P5 a7373x0.43520.87041.30561.74082.1760.6693490.6743360.8276221.0345601.0434801.1465601.934160MIN: 0.6MIN: 0.62MIN: 0.78MIN: 0.98MIN: 0.98MIN: 1.09MIN: 1.891. (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: Ninja5 2p b5 2p aba2 x AMD EPYC 7373X 16-Core7373X 2P5 a5 b7373x80160240320400SE +/- 0.08, N = 3138.57138.72164.45165.71211.49212.52230.38231.09391.79
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Ninja5 2p b5 2p aba2 x AMD EPYC 7373X 16-Core7373X 2P5 a5 b7373x70140210280350Min: 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_bare5 2p a5 2p bba2 x AMD EPYC 7373X 16-Core7373X 2P5 a7373x246810SE +/- 0.026, N = 38.2858.2227.2997.2905.2485.1935.0222.9851. (CXX) g++ options: -O3
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bare5 2p a5 2p bba2 x AMD EPYC 7373X 16-Core7373X 2P5 a7373x3691215Min: 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 Direction5 2p b5 2p a2 x AMD EPYC 7373X 16-Coreb7373X 2P5 a7373x2468102.483869082.486542943.932473904.438041214.753952985.067564016.864689831. (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 Hydrodynamicsb5 a5 2p b5 2p a7373x7373X 2P2 x AMD EPYC 7373X 16-Core71421283511.3412.0915.5115.6718.2628.5930.671. (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: CPU5 2p a5 2p bb2 x AMD EPYC 7373X 16-Core5 a7373x8K16K24K32K40K39455.8638800.3435737.8229028.2525209.6214994.761. (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 Rating5 2p ab5 2p b5 a7373X 2P2 x AMD EPYC 7373X 16-Core7373x90K180K270K360K450K4037393969283968442719182438622418031558791. (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-tiny7373x5 ab2 x AMD EPYC 7373X 16-Core7373X 2P5 2p a5 2p b102030405018.2319.9823.9231.9833.7438.1045.89MIN: 17.97 / MAX: 23.77MIN: 19.53 / MAX: 23.19MIN: 23.17 / MAX: 30.48MIN: 26.72 / MAX: 48.39MIN: 28.02 / MAX: 43.18MIN: 29.08 / MAX: 101.85MIN: 34.08 / MAX: 64.661. (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.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU5 2p bb2 x AMD EPYC 7373X 16-Core5 a7373x9K18K27K36K45K40352.4838091.4631155.5927340.9616278.251. (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 Time5 2p b5 2p aba5 b5 a7373X 2P2 x AMD EPYC 7373X 16-Core7373x2040608010032.9733.0040.2440.4550.7050.7574.5976.0978.751. (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 Direction5 2p a5 2p b7373X 2P2 x AMD EPYC 7373X 16-Coreb5 a7373x61218243010.6210.7613.7213.8017.2119.6325.221. (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: CPU5 a2 x AMD EPYC 7373X 16-Core7373X 2P7373xb5 2p b5 2p a36912154.495655.787985.879516.826256.9214510.3685010.52210MIN: 3.9MIN: 4.87MIN: 4.97MIN: 5.9MIN: 6.32MIN: 8.54MIN: 8.881. (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 bb5 a16K32K48K64K80K74130.1856185.7531992.611. (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-SHA512ab5 a5 b5 2p a5 2p b7373X 2P2 x AMD EPYC 7373X 16-Core7373x30M60M90M120M150MSE +/- 266743.32, N = 3136796000135165000960590009492400079002000732600006853000067213000596800001. (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-SHA512ab5 a5 b5 2p a5 2p b7373X 2P2 x AMD EPYC 7373X 16-Core7373x20M40M60M80M100MMin: 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: CPUb5 a7373x2 x AMD EPYC 7373X 16-Core7373X 2P5 2p a5 2p b0.6491.2981.9472.5963.2451.261071.379961.874462.058182.174962.678012.88451MIN: 1.06MIN: 1.25MIN: 1.72MIN: 1.58MIN: 1.61MIN: 1.89MIN: 1.791. (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 ISPCab5 2p b5 2p a5 a5 b2 x AMD EPYC 7373X 16-Core7373X 2P7373x100200300400500SE +/- 0.33, N = 3470469452452340339309306213MIN: 84 / MAX: 2616MIN: 84 / MAX: 2565MIN: 99 / MAX: 2013MIN: 98 / MAX: 1875MIN: 55 / MAX: 2309MIN: 54 / MAX: 2307MIN: 54 / MAX: 1845MIN: 54 / MAX: 1694MIN: 29 / MAX: 1843
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCab5 2p b5 2p a5 a5 b2 x AMD EPYC 7373X 16-Core7373X 2P7373x80160240320400Min: 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 Networkb5 a2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b20K40K60K80K100K39756399976565782360871331. (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: CPU7373x5 a2 x AMD EPYC 7373X 16-Core5 2p a5 2p b7373X 2Pb0.28040.56080.84121.12161.4020.6097460.6259300.7508530.9118060.9172260.9481431.246180MIN: 0.57MIN: 0.57MIN: 0.57MIN: 0.78MIN: 0.77MIN: 0.62MIN: 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: CPU5 2p a5 2p b2 x AMD EPYC 7373X 16-Core7373X 2P5 ab7373x0.85011.70022.55033.40044.25051.851671.898592.700572.733572.762343.124873.77803MIN: 1.61MIN: 1.58MIN: 2.52MIN: 2.6MIN: 2.59MIN: 2.06MIN: 3.691. (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 API5 ab2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b90K180K270K360K450K2069702358102630673637454197021. (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 Timea5 2p b5 2p a7373X 2P2 x AMD EPYC 7373X 16-Coreb5 b5 a7373x13026039052065040.48203.65205.46332.03334.90363.74427.71428.66596.971. (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: mnasnet7373x5 ab2 x AMD EPYC 7373X 16-Core5 2p a7373X 2P5 2p b11223344554.526.0811.7137.6238.4938.9849.46MIN: 6.01 / MAX: 6.54MIN: 9.43 / MAX: 20.81MIN: 29.31 / MAX: 44.7MIN: 25.51 / MAX: 75.24MIN: 32.96 / MAX: 44.92MIN: 36.42 / MAX: 176.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazeface7373x5 ab5 2p a2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b6121824302.403.828.1214.6518.4018.7524.56MIN: 3.45 / MAX: 79.74MIN: 6.94 / MAX: 11.1MIN: 11.34 / MAX: 73.36MIN: 16.72 / MAX: 22.27MIN: 15.74 / MAX: 22.59MIN: 20.64 / MAX: 91.21. (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 OpenMP5 ab7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p a5 2p b2004006008001000869.57806.45729.93458.72458.72436.68434.781. (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: CPU5 ab7373x2 x AMD EPYC 7373X 16-Core5 2p a5 2p b7373X 2P30060090012001500679.65749.62906.611177.811212.841305.961349.92MIN: 664.64MIN: 731.75MIN: 898.73MIN: 1030.68MIN: 1070.52MIN: 1060.61MIN: 1150.781. (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: Unix Makefiles5 2p a5 2p bab7373X 2P2 x AMD EPYC 7373X 16-Core5 a5 b7373x90180270360450SE +/- 0.96, N = 3219.40221.79246.96248.48271.83277.06290.54297.22433.97
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix Makefiles5 2p a5 2p bab7373X 2P2 x AMD EPYC 7373X 16-Core5 a5 b7373x80160240320400Min: 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 Compile5 2p b5 2p aab2 x AMD EPYC 7373X 16-Core7373X 2P5 a5 b7373x714212835SE +/- 0.03, N = 315.3415.4616.9317.0419.5619.7020.3820.6429.98
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.0Time To Compile5 2p b5 2p aab2 x AMD EPYC 7373X 16-Core7373X 2P5 a5 b7373x714212835Min: 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 - Griddingb5 a7373x5 2p b7373X 2P5 2p a2 x AMD EPYC 7373X 16-Core4K8K12K16K20K20481.217750.413312.812678.912102.512102.511576.31. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - Gridding2 x AMD EPYC 7373X 16-Core7373X 2P7373x5 2p a5 2p b5 ab2K4K6K8K10K9627.349605.638783.707738.597176.416599.685493.351. (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: CPU7373x2 x AMD EPYC 7373X 16-Core5 a5 2p bb0.36450.7291.09351.4581.82250.971.011.161.331.62MIN: 0.58 / MAX: 12.03MIN: 0.6 / MAX: 20.54MIN: 0.66 / MAX: 12.23MIN: 0.64 / MAX: 26.34MIN: 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: CPU7373x2 x AMD EPYC 7373X 16-Core5 a5 2p a5 2p bb0.39150.7831.17451.5661.95751.061.091.261.371.401.74MIN: 0.62 / MAX: 11.46MIN: 0.64 / MAX: 18.03MIN: 0.69 / MAX: 12.96MIN: 0.67 / MAX: 28.86MIN: 0.68 / MAX: 42.1MIN: 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: vgg167373x5 ab7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b5 2p a81624324020.4721.0824.0429.8232.7732.8133.55MIN: 20.22 / MAX: 21.34MIN: 20.78 / MAX: 24.35MIN: 23.49 / MAX: 30.66MIN: 27.79 / MAX: 34.74MIN: 29.33 / MAX: 38.66MIN: 30.06 / MAX: 44.76MIN: 28.65 / MAX: 42.531. (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: CPU7373x2 x AMD EPYC 7373X 16-Core5 a5 2p a5 2p bb80016002400320040002496.522595.652886.122946.972952.763927.00MIN: 1381.65 / MAX: 2622.64MIN: 2193.47 / MAX: 2987.27MIN: 1694.68 / MAX: 3104.67MIN: 2004.15 / MAX: 3534.38MIN: 2193.59 / MAX: 3652.32MIN: 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: CPU7373x2 x AMD EPYC 7373X 16-Core5 a5 2p b5 2p ab80016002400320040002493.982547.352881.042948.392975.153911.97MIN: 2275.06 / MAX: 2587.16MIN: 1516.1 / MAX: 2961.68MIN: 1536.21 / MAX: 3142.35MIN: 1547.54 / MAX: 3537.3MIN: 2241.37 / MAX: 3616.82MIN: 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: Stitching5 ab7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b60K120K180K240K300K1840322011602281232329772874921. (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: CPU7373x2 x AMD EPYC 7373X 16-Core5 a5 2p a5 2p bb60012001800240030001684.861782.061935.602013.522020.212608.34MIN: 1636.65 / MAX: 1721.46MIN: 1650.91 / MAX: 2051.03MIN: 1852.05 / MAX: 1974.19MIN: 1890.96 / MAX: 2802.82MIN: 1823.96 / MAX: 3111.51MIN: 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: CPU7373x2 x AMD EPYC 7373X 16-Core5 a5 2p a5 2p bb61218243017.5817.9119.4520.0620.0726.68MIN: 15.76 / MAX: 27.27MIN: 9.87 / MAX: 67.23MIN: 11.98 / MAX: 28.4MIN: 11.41 / MAX: 47.48MIN: 13.26 / MAX: 75.83MIN: 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: CPU7373x2 x AMD EPYC 7373X 16-Core5 a5 2p b5 2p ab50100150200250151.73162.50172.53180.91182.10230.27MIN: 131.11 / MAX: 163.85MIN: 133.61 / MAX: 274.15MIN: 81.35 / MAX: 207.95MIN: 124.49 / MAX: 288.01MIN: 117.14 / MAX: 548.18MIN: 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 - Degridding5 2p a7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b7373x5 ab3K6K9K12K15K12506.7012025.7011891.4011068.8010352.609611.058308.331. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 8 - Input: Bosphorus 4Ka5 b5 2p bb5 a5 2p a7373X 2P2 x AMD EPYC 7373X 16-Core7373x1632486480SE +/- 0.56, N = 1273.4470.8669.5467.5565.3462.8458.7058.3649.201. (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 4Ka5 b5 2p bb5 a5 2p a7373X 2P2 x AMD EPYC 7373X 16-Core7373x1428425670Min: 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 4K5 ba5 ab5 2p b5 2p a2 x AMD EPYC 7373X 16-Core7373X 2P7373x50100150200250SE +/- 0.73, N = 3226.73222.84220.81214.93176.11169.11163.33162.78152.191. (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 4K5 ba5 ab5 2p b5 2p a2 x AMD EPYC 7373X 16-Core7373X 2P7373x4080120160200Min: 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: CPU5 ab7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b5 2p a7373x4008001200160020001182.611183.631370.611377.391385.331390.361760.49MIN: 1161.83MIN: 1162.73MIN: 1312.47MIN: 1316MIN: 1314.76MIN: 1287.43MIN: 1746.271. (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: CPU7373x2 x AMD EPYC 7373X 16-Core5 a5 2p b5 2p ab61218243016.5816.7018.1018.2518.2623.92MIN: 12.62 / MAX: 25.96MIN: 9.01 / MAX: 41.25MIN: 9.23 / MAX: 28.11MIN: 8.84 / MAX: 40.73MIN: 10.53 / MAX: 60.19MIN: 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: CPU7373x2 x AMD EPYC 7373X 16-Core5 a5 2p b5 2p ab30060090012001500821.36826.77886.41912.42914.241175.01MIN: 798.88 / MAX: 834.55MIN: 796.91 / MAX: 888.72MIN: 851.09 / MAX: 900.44MIN: 878.63 / MAX: 988.74MIN: 797.83 / MAX: 966.84MIN: 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 - Degridding5 ab5 2p a5 2p b7373x7373X 2P2 x AMD EPYC 7373X 16-Core4K8K12K16K20K19018.319018.316641.015662.114792.013312.813312.81. (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: CPU5 a5 2p a5 2p b7373x2 x AMD EPYC 7373X 16-Coreb61218243019.0019.5819.6919.9920.3326.54MIN: 13.62 / MAX: 32.75MIN: 11.25 / MAX: 73.87MIN: 11.03 / MAX: 75.83MIN: 12.45 / MAX: 25.77MIN: 14.4 / MAX: 46.38MIN: 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: CPU7373x2 x AMD EPYC 7373X 16-Core5 2p a5 2p b5 ab4812162012.2612.5412.7612.7912.8416.93MIN: 7.79 / MAX: 21.63MIN: 9.03 / MAX: 28.23MIN: 7.65 / MAX: 43.58MIN: 7.68 / MAX: 43.18MIN: 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 4K5 ab5 ba5 2p b5 2p a2 x AMD EPYC 7373X 16-Core7373X 2P7373x4080120160200SE +/- 0.70, N = 3199.69198.14196.06195.92172.57169.66166.54159.26147.351. (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 4K5 ab5 ba5 2p b5 2p a2 x AMD EPYC 7373X 16-Core7373X 2P7373x4080120160200Min: 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: CPU5 2p a5 2p b5 a7373x2 x AMD EPYC 7373X 16-Coreb4812162012.6612.6612.7713.3613.5216.93MIN: 7.58 / MAX: 53.45MIN: 8.38 / MAX: 48.88MIN: 7.39 / MAX: 23.62MIN: 8.79 / MAX: 23.44MIN: 10.48 / MAX: 44.97MIN: 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: Faster5 a5 b7373xba5 2p a2 x AMD EPYC 7373X 16-Core5 2p b7373X 2P714212835SE +/- 0.03, N = 331.8431.8031.2730.1130.0124.4924.3124.2724.221. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 1080p - Video Preset: Faster5 a5 b7373xba5 2p a2 x AMD EPYC 7373X 16-Core5 2p b7373X 2P714212835Min: 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 1080p5 a5 bab5 2p b5 2p a2 x AMD EPYC 7373X 16-Core7373X 2P7373x140280420560700SE +/- 2.97, N = 3629.30622.73604.84601.98565.06540.73525.64522.16487.081. (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 1080p5 a5 bab5 2p b5 2p a2 x AMD EPYC 7373X 16-Core7373X 2P7373x110220330440550Min: 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 Cache5 2p a5 2p b5 ab7373X 2P2 x AMD EPYC 7373X 16-Core7373x100200300400500445.18440.56437.20428.51420.94420.29351.01MIN: 41.18 / MAX: 3157.89MIN: 40.98 / MAX: 4000MIN: 24.3 / MAX: 6000MIN: 34.8 / MAX: 5454.55MIN: 24.79 / MAX: 3750MIN: 24.7 / MAX: 5454.55MIN: 13.78 / MAX: 6666.67

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: Faster5 b5 aab7373x2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b5 2p a3691215SE +/- 0.022, N = 312.02011.96111.36711.36411.22410.12710.0839.9069.5741. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 4K - Video Preset: Faster5 b5 aab7373x2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b5 2p a48121620Min: 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: Live7373x2 x AMD EPYC 7373X 16-Core5 a5 b5 2p bba7373X 2P5 2p a306090120150SE +/- 0.29, N = 3114.63111.07110.49110.29107.29106.98105.7899.8292.521. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Live7373x2 x AMD EPYC 7373X 16-Core5 a5 b5 2p bba7373X 2P5 2p a20406080100Min: 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: Live7373x2 x AMD EPYC 7373X 16-Core5 a5 b5 2p bba7373X 2P5 2p a1224364860SE +/- 0.13, N = 344.0645.4745.7145.7947.0747.2147.7450.5954.581. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Live7373x2 x AMD EPYC 7373X 16-Core5 a5 b5 2p bba7373X 2P5 2p a1122334455Min: 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 4Ka5 2p bb5 2p a5 b5 a7373X 2P2 x AMD EPYC 7373X 16-Core7373x1.09422.18843.28264.37685.471SE +/- 0.021, N = 34.8634.8424.8264.7844.7604.7434.6764.6443.9931. (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 4Ka5 2p bb5 2p a5 b5 a7373X 2P2 x AMD EPYC 7373X 16-Core7373x246810Min: 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 Run5 2p b5 2p a5 ab2 x AMD EPYC 7373X 16-Core7373X 2P7373x100200300400500467.46463.68457.81439.07438.36433.56386.60MIN: 40.6 / MAX: 4615.38MIN: 41.64 / MAX: 4615.38MIN: 24.13 / MAX: 5454.55MIN: 35.82 / MAX: 6000MIN: 25.08 / MAX: 4285.71MIN: 24.58 / MAX: 4285.71MIN: 13.7 / MAX: 6666.67

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third Run5 2p a5 a5 2p bb7373X 2P2 x AMD EPYC 7373X 16-Core7373x100200300400500461.53456.30448.03437.35436.29429.56384.96MIN: 41.49 / MAX: 3000MIN: 24.65 / MAX: 5454.55MIN: 41.38 / MAX: 2608.7MIN: 35.59 / MAX: 5454.55MIN: 24.91 / MAX: 3750MIN: 25.01 / MAX: 4615.38MIN: 13.8 / MAX: 6666.67

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 8 - Input: Bosphorus 1080pab5 b5 a5 2p a5 2p b7373X 2P2 x AMD EPYC 7373X 16-Core7373x20406080100SE +/- 1.23, N = 5109.98109.71108.36107.38107.10104.17101.82100.5992.981. (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 1080pab5 b5 a5 2p a5 2p b7373X 2P2 x AMD EPYC 7373X 16-Core7373x20406080100Min: 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 Time5 a5 2p a5 b5 2p b2 x AMD EPYC 7373X 16-Core7373X 2Pab7373x61218243022.3422.5622.7123.3424.2724.6724.7325.6026.391. (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 Speed5 ab7373x5 2p a5 2p b2 x AMD EPYC 7373X 16-Core7373X 2P2004006008001000792.1744.5727.0702.8702.2680.9671.61. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression Speed5 a5 2p a2 x AMD EPYC 7373X 16-Core5 2p b7373X 2Pb7373x20040060080010001067.81024.01022.31013.4992.4988.5913.51. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Compression Speed7373x2 x AMD EPYC 7373X 16-Core5 a7373X 2P5 2p ab5 2p b2004006008001000865.4854.9854.2813.6808.5752.6741.51. (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: Fast5 b5 aab7373x5 2p b7373X 2P5 2p a2 x AMD EPYC 7373X 16-Core48121620SE +/- 0.10, N = 317.2516.8516.5516.3715.8015.0414.9414.8114.791. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 1080p - Video Preset: Fast5 b5 aab7373x5 2p b7373X 2P5 2p a2 x AMD EPYC 7373X 16-Core48121620Min: 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 1080p5 a5 bab5 2p b5 2p a2 x AMD EPYC 7373X 16-Core7373x7373X 2P120240360480600SE +/- 5.77, N = 3571.08560.57552.24549.83546.03525.15510.79506.52490.991. (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 1080p5 a5 bab5 2p b5 2p a2 x AMD EPYC 7373X 16-Core7373x7373X 2P100200300400500Min: 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: Fast5 a5 bab2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b7373x5 2p a246810SE +/- 0.010, N = 36.4066.3906.2866.1285.8775.7745.7685.7195.5481. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 4K - Video Preset: Fast5 a5 bab2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b7373x5 2p a3691215Min: 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_transformer5 ab7373x5 2p a7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b306090120150126.26133.39140.06144.31144.55145.33145.49MIN: 125.42 / MAX: 132.03MIN: 129.7 / MAX: 252.77MIN: 137.05 / MAX: 145.39MIN: 140.5 / MAX: 157.63MIN: 140.93 / MAX: 165.57MIN: 142.5 / MAX: 157.84MIN: 141.27 / MAX: 245.341. (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 Speed7373x7373X 2P5 a2 x AMD EPYC 7373X 16-Core5 2p a5 2p bb70140210280350305.1295.0289.1288.9283.6282.8270.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression Speed7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 a5 2p b5 2p ab300600900120015001312.91292.11289.91229.11227.11222.91190.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression Speed7373x2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b5 a5 2p ab300600900120015001523.91523.61518.11441.11438.81437.51390.01. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression Speed7373X 2P7373x2 x AMD EPYC 7373X 16-Core5 2p a5 2p b5 ab300600900120015001394.31389.61375.81315.61312.01304.21276.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression Speed7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 a5 2p b5 2p ab51015202519.218.918.618.218.018.017.61. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Decompression Speed2 x AMD EPYC 7373X 16-Core7373X 2P7373x5 a5 2p b5 2p ab300600900120015001415.41414.11413.01361.51336.51332.31300.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Decompression Speed2 x AMD EPYC 7373X 16-Core7373x7373X 2P5 a5 2p a5 2p bb300600900120015001559.81541.71538.41460.11454.71445.11434.21. (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 a5 a5 2p bb369121510.1010.1010.109.579.549.509.301. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Decompression Speed2 x AMD EPYC 7373X 16-Core7373X 2P5 a5 2p b5 2p a7373xb300600900120015001384.11362.41326.51309.51306.71281.11277.31. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression Speed2 x AMD EPYC 7373X 16-Core7373x7373X 2P5 2p b5 2p a5 ab300600900120015001563.01557.21552.01498.91482.71478.11445.91. (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 1080p5 b5 a5 2p b7373X 2P5 2p aab2 x AMD EPYC 7373X 16-Core7373x3691215SE +/- 0.02, N = 310.8310.7610.5010.4310.4110.3010.2310.2010.021. (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 1080p5 b5 a5 2p b7373X 2P5 2p aab2 x AMD EPYC 7373X 16-Core7373x3691215Min: 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 b5 2p a5 aab6001200180024003000SE +/- 25.52, N = 32907.32894.22854.12850.82820.42760.92756.92746.52692.41. (CXX) g++ options: -O3 -march=native -fPIE -pie
OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.307373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 b5 2p a5 aab5001000150020002500Min: 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 Facade7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p a5 a5 2p bab13002600390052006500SE +/- 3.21, N = 3540654855498568257185729579358331. (CXX) g++ options: -O3
OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: Church Facade7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p a5 a5 2p bab10002000300040005000Min: 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 Demand5 a7373x2 x AMD EPYC 7373X 16-Core5 2p a7373X 2Pb5 2p ba4080120160200SE +/- 0.15, N = 3161.54162.33165.87168.46170.68172.53173.05173.471. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On Demand5 a7373x2 x AMD EPYC 7373X 16-Core5 2p a7373X 2Pb5 2p ba306090120150Min: 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 Demand5 a7373x2 x AMD EPYC 7373X 16-Core5 2p a7373X 2Pb5 2p ba1122334455SE +/- 0.04, N = 346.8946.6645.6744.9744.3843.9043.7743.671. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On Demand5 a7373x2 x AMD EPYC 7373X 16-Core5 2p a7373X 2Pb5 2p ba1020304050Min: 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 Speed5 a2 x AMD EPYC 7373X 16-Coreb7373X 2P5 2p a5 2p b7373x60012001800240030002856.62842.32819.02801.42783.72775.92661.01. (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: Lion7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p a5 a5 2p bab10002000300040005000SE +/- 7.02, N = 3456346144642473447604818486748851. (CXX) g++ options: -O3
OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: Lion7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p a5 a5 2p bab8001600240032004000Min: 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: Platform5 a7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p aba5 2p b1122334455SE +/- 0.02, N = 346.7046.6745.7244.5644.3143.9043.7343.641. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Platform5 a7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p aba5 2p b1020304050Min: 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: Platform5 a7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p aba5 2p b4080120160200SE +/- 0.08, N = 3162.19162.30165.70169.99170.94172.57173.23173.561. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Platform5 a7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p aba5 2p b306090120150Min: 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 Synthesis2 x AMD EPYC 7373X 16-Core7373x7373X 2P5 a5 2p a5 2p bb71421283526.4726.5126.5127.8327.8728.1428.161. (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: Upload5 a5 b7373x5 2p a7373X 2P2 x AMD EPYC 7373X 16-Core5 2p bba510152025SE +/- 0.01, N = 322.9522.9322.8322.3822.3522.2122.1021.6221.591. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Upload5 a5 b7373x5 2p a7373X 2P2 x AMD EPYC 7373X 16-Core5 2p bba510152025Min: 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: Upload5 a5 b7373x5 2p a7373X 2P2 x AMD EPYC 7373X 16-Core5 2p bba306090120150SE +/- 0.05, N = 3110.01110.14110.61112.82112.96113.67114.26116.81116.931. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Upload5 a5 b7373x5 2p a7373X 2P2 x AMD EPYC 7373X 16-Core5 2p bba20406080100Min: 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.smt22 x AMD EPYC 7373X 16-Core7373X 2P51015202521.2221.721. (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.smt22 x AMD EPYC 7373X 16-Core7373X 2P163248648070.2970.511. (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