7773x

tests for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2305086-NE-7773X808085
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Result
Identifier
Performance Per
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Date
Run
  Test
  Duration
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
Invert Behavior (Only Show Selected Data)
  3 Hours, 47 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 petsc: Streamsopenvkl: vklBenchmark ISPCopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeblender: Barbershop - CPU-Onlylczero: Eigenlczero: BLASbuild-llvm: Unix Makefilesopencv: Graph APIncnn: CPU - FastestDetncnn: CPU - vision_transformerncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetbuild-llvm: Ninjaffmpeg: libx265 - Platformffmpeg: libx265 - Platformffmpeg: libx265 - Video On Demandffmpeg: libx265 - Video On Demandopencv: Stitchingffmpeg: libx265 - Uploadffmpeg: libx265 - Uploadclickhouse: 100M Rows Hits Dataset, Third Runclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheaskap: tConvolve MT - Degriddingaskap: tConvolve MT - Griddingblender: Pabellon Barcelona - CPU-Onlyvvenc: Bosphorus 4K - Fastblender: Classroom - CPU-Onlyopencv: Coreonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUffmpeg: libx265 - Liveffmpeg: libx265 - Liveopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timecompress-zstd: 19, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedjohn-the-ripper: MD5john-the-ripper: HMAC-SHA512z3: 2.smt2vvenc: Bosphorus 4K - Fasteropenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUcompress-zstd: 19 - Decompression Speedcompress-zstd: 19 - Compression Speedopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedopencv: DNN - Deep Neural Networkcompress-zstd: 3, Long Mode - Decompression Speedcompress-zstd: 3, Long Mode - Compression Speedcompress-zstd: 12 - Decompression Speedcompress-zstd: 12 - Compression Speedcompress-zstd: 8 - Decompression Speedcompress-zstd: 8 - Compression Speedcompress-zstd: 3 - Decompression Speedcompress-zstd: 3 - Compression Speedopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUblender: Fishy Cat - CPU-Onlyspecfem3d: Layered Halfspacespecfem3d: Water-layered Halfspacevvenc: Bosphorus 1080p - Fastgromacs: MPI CPU - water_GMX50_baresvt-av1: Preset 4 - Bosphorus 4Kblender: BMW27 - CPU-Onlyopencv: Object Detectionjohn-the-ripper: WPA PSKjohn-the-ripper: bcryptjohn-the-ripper: Blowfishquantlib: compress-7zip: Decompression Ratingcompress-7zip: Compression Ratingspecfem3d: Homogeneous Halfspaceembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer - Asian Dragon Objvvenc: Bosphorus 1080p - Fasterespeak: Text-To-Speech Synthesissvt-av1: Preset 8 - Bosphorus 4Kmt-dgemm: Sustained Floating-Point Ratespecfem3d: Tomographic Modelbuild-ffmpeg: Time To Compilespecfem3d: Mount St. Helensz3: 1.smt2onednn: Deconvolution Batch shapes_1d - f32 - CPUsvt-av1: Preset 4 - Bosphorus 1080pcloverleaf: Lagrangian-Eulerian Hydrodynamicsembree: Pathtracer ISPC - Crownembree: Pathtracer - Crownincompact3d: input.i3d 193 Cells Per Directionembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer - Asian Dragonaskap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddingonednn: IP Shapes 1D - f32 - CPUaskap: Hogbom Clean OpenMPpennant: sedovbiglulesh: svt-av1: Preset 8 - Bosphorus 1080ponednn: IP Shapes 3D - f32 - CPUaskap: tConvolve OpenMP - Degriddingaskap: tConvolve OpenMP - Griddingdraco: Church Facadepennant: leblancbigdraco: Lionsvt-av1: Preset 12 - Bosphorus 4Konednn: Convolution Batch Shapes Auto - f32 - CPUsvt-av1: Preset 13 - Bosphorus 4Kincompact3d: input.i3d 129 Cells Per Directiononednn: Deconvolution Batch shapes_3d - f32 - CPUsvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080pab5 a5 b5 2p a5 2p b7373x2 x AMD EPYC 7373X 16-Core7373X 2P47040.48165225.348583260.83246.957165.70743.73173.2343.67173.4721.59116.9388.766.28672.45105.7847.7440.45056824.729957553400013679600011.36734.7730.51891266128.08154095016.5527.2904.86327.6120138886230864602746.517.20934908264.511770.523830.00673.44229.38349613.86220230016.92811.67841461610.29563.371169.107773.844678.4751109.98457934867222.837195.924604.842552.24156185.7504469363.7359120.39337259.8751425554248.48123581019.08133.3953.5219.3223.9219.587.1310.8924.0419.098.1215.4411.7115.610.2911.317.84164.44943.90172.5695669443.90172.53393950620116021.62116.80915814437.35439.07428.518308.335493.3588.736.12872.02770611183.63749.622106.9847.20677488940.24442825.5960851190.89.3554300013516500011.3643911.978.0539278.042608.3412.161276.817.61175.0127.03230.27138.841434.2744.5397561300.8752.61445.9270.81390988.51277.3281916.931888.216.931889.0526.541205.1126.681198.4523.922674.291.7435737.821.6238091.4634.6130.11589970427.46754027316.3747.2994.82627.63191020295791276873602692.441121339692816.81708024664.640930.11428.15767.54829.0456913.53017939417.04211.753321466.9214510.23411.3463.364717.211847373.82836827.532799.51.26107806.4529.5636122257.137109.7111.2461819018.320481.258335.1040784885214.9330.827622198.1354.438041213.12487601.984549.83431992.6068340428.6592117.4378408.7912381419290.5392069709.25126.2626.3414.8519.9814.85.488.1221.0814.113.829.036.087.736.196.4613.7230.37846.70162.1946.89161.5418403222.95110.01456.30457.81437.209611.056599.68136.586.406113.31683431182.61679.645110.4945.7150.74590422.3373961229.19.5436210009605900011.9612881.045.482886.125.471935.68.231304.218.2886.4117.92172.5392.611460.1792.1399971361.5854.21478.1289.11438.81067.81326.52856.612.771252.0512.841244.8619841.4919.45822.1918.11767.131.2625209.621.1627340.9652.6849.13614946945.7094271316.8465.0224.74342.522773913084860192603252756.924422027191824.98744586739.194143.958931.83727.82665.33717.874519.08966485720.37818.862199074.4956510.7612.0940.240843.949219.630500844.911848.522824990.120991.71.37996869.56514.0011120920.487107.3820.6259319018.317750.457187.9740224760220.8131.14656199.695.067564012.76234629.3571.084339427.71276117.6045297.223231.09122.93110.146.39110.2945.7950.69975222.70639936050009492400012.0248.73867645444.33457433517.2534.7613107260152603452820.425.08962279739.223644.188431.79570.85618.640319.63009634220.6419.35555309210.82840.119943.978745.105448.5074108.364226.733196.063622.732560.565452205.4639299.384145213.682868284219.40340.45144.31100.6537.1738.180.8118.638.9433.5593.2914.6535.1238.4933.2721.2627.777.77138.71744.31170.94271146344.97168.45694118622.38112.819760537461.53463.68445.1812506.77738.5971.645.54858.551390.361212.8492.5254.5833.00107922.5639461222.99.576845000790020009.5742975.1510.542946.9710.642013.5215.861315.618914.2434.83182.1175.481454.7702.81332.3808.51482.7283.61437.510241306.72783.712.662523.5712.762504.3619.581632.8120.061594.1418.263501.691.3739455.8627.9625.22100674523.93606599714.8128.2854.78422.592594131185021185792760.945399640373914.49141946964.409168.692224.49227.86862.83631.34451511.22476781315.4559.60945386810.522110.4115.6773.330181.450810.624130273.961276.806749980.141983.32.67801436.6817.65636942030.038107.10.9118061664112102.556824.2947314734169.1120.674336169.6582.486542941.85167540.729525.15474130.1789452203.6511899.93268213.4678167991221.78941970253.25145.49128.3535.8145.89120.2728.5551.832.81112.4324.5660.7949.4637.8928.8838.67115.68138.56543.64173.5600295843.77173.05225728328749222.10114.261775562448.03467.46440.5611068.87176.4171.735.76858.572364451385.331305.96107.2947.0732.97431623.3352751227.19.56683000732600009.9062948.3910.632952.7610.642020.2115.76131218912.4234.91180.91176.761445.1702.2871331336.5741.51498.9282.81441.11013.41309.52775.912.662524.0512.792498.7419.691623.8320.071592.7118.253504.151.438800.341.3340352.4827.925.47219029123.26803264115.0448.2224.84222.51885532584571175421177712850.844074039684414.41593115864.044168.702224.26828.13769.53631.76087611.79752558515.3449.5947693510.368510.49515.5173.260281.091310.762441673.777976.628751199.141983.32.88451434.7837.79332542551.898104.1690.91722615662.112678.957294.4180124818176.1070.669349172.5732.483869081.89859565.057546.034213596.96916149.00372768.9417141955433.9717.35140.0617.612.7118.2313.254.767.0520.4711.762.46.974.525.864.54.9212.23391.79246.67162.29602734546.66162.3322.83110.605502327384.96386.60351.0110352.68783.7252.025.719212.971760.49906.609114.6344.0678.74933426.3867271312.910.119590005968000011.2242493.983.172496.523.161684.864.741389.619.2821.369.71151.7352.661541.77271413865.41557.2305.11523.9913.51281.1266113.36598.412.26652.0319.99400.0717.58454.916.58964.191.0614994.760.9716278.2595.9691.27269241578.60026454315.8012.9853.99378.757080331573316512854.112823515587951.26461634320.104523.358731.27426.50749.2048.02433635.50584661929.97937.7959531296.8262510.02318.2621.385123.58925.217460623.568424.907315435116621.87446729.92723.8794710188.24892.9840.6097461479213312.8540614.509094563152.1941.93416147.3546.864689833.77803487.076506.517309334.89524114.44612393.8714501676277.06126306721.36145.3386.2222.5831.9825.389.7813.6232.7727.6318.446.6737.6231.8824.1928.8567.15211.48944.56169.98578945345.67165.87146396623297722.21113.672822126429.56438.36420.2911891.49627.34127.965.877108.3856211377.391177.81111.0745.46730731976.08765224.2654671289.910.137350006721300070.28610.1272547.356.172595.656.11782.068.861375.818.6826.7719.31162.598.391559.8680.9656571415.4854.91563288.91523.61022.31384.12842.313.521181.7512.541274.0420.33786.1717.91892.6716.71914.221.0929028.251.0131155.5949.2748.71739420343.78013547314.7875.2484.64440.613185013626062360622442894.223262324180323.27373877435.240838.777924.31426.46758.35514.48164718.03326655719.5618.40662976921.2185.7879810.19530.6740.360444.879713.79969640.506242.831229155.121866.32.05818458.71613.2864827032.903100.5870.75085313312.811576.354987.4653734642163.3281.03456166.5393.93247392.70057525.637510.787306332.03432116.27444396.813571709271.82936374539.48144.5584.8823.8933.7430.7110.2915.1429.8245.4118.7546.6938.9831.6529.5233.1679.82212.5245.72165.70013276144.38170.67963610522812322.35112.961052185436.29433.56420.9412025.79605.63127.55.774108.06987381370.611349.9299.8250.59087387174.59384824.6723941292.110.137390006853000070.5110.0831394.318.91538.4671.6823601414.1813.615522951518.1992.41362.42801.449.4449.83188281143.85974441914.9365.1934.67640.473218713912762551623022907.323613624386223.89854757234.856638.425624.21626.51458.69714.70415318.33177041219.69717.82039039521.7175.8795110.43428.5939.999244.21613.71770140.181242.7429155.121420.12.17496458.71613.3102627107.143101.8210.94814313312.812102.554857.4197394614162.7841.04348159.2614.753952982.73357522.16490.986OpenBenchmarking.org

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: Streamsb5 a5 2p b16K32K48K64K80K56185.7531992.6174130.181. (CC) gcc options: -fPIC -O3 -O2 -lpthread -ludev -lpciaccess -lm

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 ISPCba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core100200300400500SE +/- 0.33, N = 3469470213306339340452452309MIN: 84 / MAX: 2565MIN: 84 / MAX: 2616MIN: 29 / MAX: 1843MIN: 54 / MAX: 1694MIN: 54 / MAX: 2307MIN: 55 / MAX: 2309MIN: 99 / MAX: 2013MIN: 98 / MAX: 1875MIN: 54 / MAX: 1845

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 Timeba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core130260390520650363.7440.48596.97332.03427.71428.66203.65205.46334.901. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh Timeba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core306090120150120.3925.35149.00116.27117.60117.4499.9399.38114.451. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

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-Onlyba7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core170340510680850SE +/- 0.09, N = 3259.87260.83768.94396.80408.79213.46213.60393.87

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: Eigenb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core2K4K6K8K10K51421714135712387816828614501. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLASb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core2K4K6K8K10K55541955170914197991828416761. (CXX) g++ options: -flto -pthread

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 Makefilesba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core90180270360450SE +/- 0.96, N = 3248.48246.96433.97271.83297.22290.54221.79219.40277.06

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 APIb7373X 2P5 a5 2p b2 x AMD EPYC 7373X 16-Core90K180K270K360K450K2358103637452069704197022630671. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

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: FastestDetb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core122436486019.087.3539.489.2553.2540.4521.36MIN: 13.65 / MAX: 21.7MIN: 7.23 / MAX: 7.88MIN: 21.82 / MAX: 52.04MIN: 9.12 / MAX: 9.81MIN: 30.07 / MAX: 66.77MIN: 27.4 / MAX: 462.07MIN: 19.71 / MAX: 29.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core306090120150133.39140.06144.55126.26145.49144.31145.33MIN: 129.7 / MAX: 252.77MIN: 137.05 / MAX: 145.39MIN: 140.93 / MAX: 165.57MIN: 125.42 / MAX: 132.03MIN: 141.27 / MAX: 245.34MIN: 140.5 / MAX: 157.63MIN: 142.5 / MAX: 157.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core30609012015053.5217.6084.8826.34128.35100.6586.22MIN: 50.93 / MAX: 71.06MIN: 17.32 / MAX: 18.74MIN: 80.66 / MAX: 90.33MIN: 25.99 / MAX: 28.26MIN: 111.43 / MAX: 240.27MIN: 97.81 / MAX: 136.12MIN: 82.8 / MAX: 122.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core91827364519.3212.7123.8914.8535.8137.1722.58MIN: 18.86 / MAX: 22.39MIN: 12.37 / MAX: 13.22MIN: 22.35 / MAX: 46.47MIN: 14.49 / MAX: 25.32MIN: 29.14 / MAX: 58.45MIN: 30.62 / MAX: 51.54MIN: 21.5 / MAX: 36.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core102030405023.9218.2333.7419.9845.8938.1031.98MIN: 23.17 / MAX: 30.48MIN: 17.97 / MAX: 23.77MIN: 28.02 / MAX: 43.18MIN: 19.53 / MAX: 23.19MIN: 34.08 / MAX: 64.66MIN: 29.08 / MAX: 101.85MIN: 26.72 / MAX: 48.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50b7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core30609012015019.5813.2530.7114.80120.2780.8125.38MIN: 19.15 / MAX: 44.79MIN: 27.2 / MAX: 36.97MIN: 42.99 / MAX: 192.41MIN: 62.51 / MAX: 112.38MIN: 22.8 / MAX: 34.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core7142128357.134.7610.295.4828.5518.609.78MIN: 6.97 / MAX: 7.76MIN: 4.68 / MAX: 5.71MIN: 9.46 / MAX: 14.07MIN: 5.36 / MAX: 6.34MIN: 12.6 / MAX: 62.18MIN: 17.59 / MAX: 34.64MIN: 9.12 / MAX: 10.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18b7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core122436486010.897.0515.148.1251.8038.9413.62MIN: 10.68 / MAX: 11.74MIN: 6.95 / MAX: 7.65MIN: 13.62 / MAX: 18.75MIN: 8.01 / MAX: 10.04MIN: 16.09 / MAX: 93.56MIN: 16.05 / MAX: 124.98MIN: 13.43 / MAX: 16.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16b7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core81624324024.0420.4729.8221.0832.8133.5532.77MIN: 23.49 / MAX: 30.66MIN: 20.22 / MAX: 21.34MIN: 27.79 / MAX: 34.74MIN: 20.78 / MAX: 24.35MIN: 30.06 / MAX: 44.76MIN: 28.65 / MAX: 42.53MIN: 29.33 / MAX: 38.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core30609012015019.0911.7645.4114.11112.4393.2927.63MIN: 18.77 / MAX: 25.76MIN: 28.42 / MAX: 186.92MIN: 29.99 / MAX: 148.59MIN: 52.46 / MAX: 137.19MIN: 23.37 / MAX: 37.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core6121824308.122.4018.753.8224.5614.6518.40MIN: 6.94 / MAX: 11.1MIN: 15.74 / MAX: 22.59MIN: 3.45 / MAX: 79.74MIN: 20.64 / MAX: 91.2MIN: 11.34 / MAX: 73.36MIN: 16.72 / MAX: 22.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0b7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core142842567015.446.9746.699.0360.7935.1246.67MIN: 13.63 / MAX: 18.67MIN: 6.9 / MAX: 7.4MIN: 36.92 / MAX: 81.01MIN: 8.93 / MAX: 11.07MIN: 47.67 / MAX: 141.85MIN: 33.83 / MAX: 41.96MIN: 36.84 / MAX: 52.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core112233445511.714.5238.986.0849.4638.4937.62MIN: 9.43 / MAX: 20.81MIN: 32.96 / MAX: 44.92MIN: 6.01 / MAX: 6.54MIN: 36.42 / MAX: 176.46MIN: 25.51 / MAX: 75.24MIN: 29.31 / MAX: 44.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2b7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core91827364515.605.8631.657.7337.8933.2731.88MIN: 12.95 / MAX: 19.73MIN: 5.76 / MAX: 6.62MIN: 28.59 / MAX: 37.25MIN: 7.58 / MAX: 9.71MIN: 34.63 / MAX: 113.32MIN: 29.37 / MAX: 96.69MIN: 27.33 / MAX: 35.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3b7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core71421283510.294.5029.526.1928.8821.2624.19MIN: 9.51 / MAX: 11.93MIN: 4.43 / MAX: 5.26MIN: 25.64 / MAX: 34.13MIN: 6.05 / MAX: 6.93MIN: 23.66 / MAX: 168.43MIN: 20.79 / MAX: 28.25MIN: 19.28 / MAX: 34.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2b7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core91827364511.304.9233.166.4638.6727.7028.85MIN: 9.74 / MAX: 14.96MIN: 4.84 / MAX: 5.41MIN: 24.4 / MAX: 44MIN: 6.35 / MAX: 8.73MIN: 28.02 / MAX: 119.64MIN: 23.18 / MAX: 43.54MIN: 18.28 / MAX: 40.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core30609012015017.8412.2379.8213.70115.6877.7767.15MIN: 17.55 / MAX: 25.78MIN: 65.63 / MAX: 95.23MIN: 64.45 / MAX: 159.93MIN: 67.11 / MAX: 156MIN: 21.26 / MAX: 78.891. (CXX) g++ options: -O3 -rdynamic -lgomp -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: Ninjaba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core80160240320400SE +/- 0.08, N = 3164.45165.71391.79212.52231.09230.38138.57138.72211.49

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: Platformba7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core1122334455SE +/- 0.02, N = 343.9043.7346.6745.7246.7043.6444.3144.561. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Platformba7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core4080120160200SE +/- 0.08, N = 3172.57173.23162.30165.70162.19173.56170.94169.991. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On Demandba7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core1122334455SE +/- 0.04, N = 343.9043.6746.6644.3846.8943.7744.9745.671. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On Demandba7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core4080120160200SE +/- 0.15, N = 3172.53173.47162.33170.68161.54173.05168.46165.871. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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: Stitchingb7373X 2P5 a5 2p b2 x AMD EPYC 7373X 16-Core60K120K180K240K300K2011602281231840322874922329771. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

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: Uploadba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core510152025SE +/- 0.01, N = 321.6221.5922.8322.3522.9322.9522.1022.3822.211. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Uploadba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core306090120150SE +/- 0.05, N = 3116.81116.93110.61112.96110.14110.01114.26112.82113.671. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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, Third Runb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core100200300400500437.35384.96436.29456.30448.03461.53429.56MIN: 35.59 / MAX: 5454.55MIN: 13.8 / MAX: 6666.67MIN: 24.91 / MAX: 3750MIN: 24.65 / MAX: 5454.55MIN: 41.38 / MAX: 2608.7MIN: 41.49 / MAX: 3000MIN: 25.01 / MAX: 4615.38

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second Runb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core100200300400500439.07386.60433.56457.81467.46463.68438.36MIN: 35.82 / MAX: 6000MIN: 13.7 / MAX: 6666.67MIN: 24.58 / MAX: 4285.71MIN: 24.13 / MAX: 5454.55MIN: 40.6 / MAX: 4615.38MIN: 41.64 / MAX: 4615.38MIN: 25.08 / MAX: 4285.71

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold Cacheb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core100200300400500428.51351.01420.94437.20440.56445.18420.29MIN: 34.8 / MAX: 5454.55MIN: 13.78 / MAX: 6666.67MIN: 24.79 / MAX: 3750MIN: 24.3 / MAX: 6000MIN: 40.98 / MAX: 4000MIN: 41.18 / MAX: 3157.89MIN: 24.7 / MAX: 5454.55

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 - Degriddingb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core3K6K9K12K15K8308.3310352.6012025.709611.0511068.8012506.7011891.401. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - Griddingb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core2K4K6K8K10K5493.358783.709605.636599.687176.417738.599627.341. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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-Onlyba7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core60120180240300SE +/- 0.10, N = 388.7388.76252.02127.50136.5871.7371.64127.96

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: Fastba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core246810SE +/- 0.010, N = 36.1286.2865.7195.7746.3906.4065.7685.5485.8771. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

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-Onlyba7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core50100150200250SE +/- 0.17, N = 372.0272.45212.97108.06113.3158.5758.55108.30

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: Coreb7373X 2P5 a5 2p b2 x AMD EPYC 7373X 16-Core50K100K150K200K250K770619873868343236445856211. (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: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core4008001200160020001183.631760.491370.611182.611385.331390.361377.39MIN: 1162.73MIN: 1746.27MIN: 1312.47MIN: 1161.83MIN: 1314.76MIN: 1287.43MIN: 13161. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core30060090012001500749.62906.611349.92679.651305.961212.841177.81MIN: 731.75MIN: 898.73MIN: 1150.78MIN: 664.64MIN: 1060.61MIN: 1070.52MIN: 1030.681. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

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: Liveba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core306090120150SE +/- 0.29, N = 3106.98105.78114.6399.82110.29110.49107.2992.52111.071. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Liveba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core1224364860SE +/- 0.13, N = 347.2147.7444.0650.5945.7945.7147.0754.5845.471. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 Timeba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core2040608010040.2440.4578.7574.5950.7050.7532.9733.0076.091. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh Timeba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core61218243025.6024.7326.3924.6722.7122.3423.3422.5624.271. (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: 19, Long Mode - Decompression Speedb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core300600900120015001190.81312.91292.11229.11227.11222.91289.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression Speedb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core36912159.3010.1010.109.549.509.5710.101. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

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: MD5ba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core1.5M3M4.5M6M7.5MSE +/- 1000.00, N = 35543000553400019590003739000360500036210006683000684500037350001. (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-SHA512ba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core30M60M90M120M150MSE +/- 266743.32, N = 3135165000136796000596800006853000094924000960590007326000079002000672130001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

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: 2.smt27373X 2P2 x AMD EPYC 7373X 16-Core163248648070.5170.291. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC

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: Fasterba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core3691215SE +/- 0.022, N = 311.36411.36711.22410.08312.02011.9619.9069.57410.1271. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core80016002400320040003911.972493.982881.042948.392975.152547.35MIN: 3337.4 / MAX: 4451.63MIN: 2275.06 / MAX: 2587.16MIN: 1536.21 / MAX: 3142.35MIN: 1547.54 / MAX: 3537.3MIN: 2241.37 / MAX: 3616.82MIN: 1516.1 / MAX: 2961.681. (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: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core36912158.053.175.4810.6310.546.171. (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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core80016002400320040003927.002496.522886.122952.762946.972595.65MIN: 3402.58 / MAX: 4474.47MIN: 1381.65 / MAX: 2622.64MIN: 1694.68 / MAX: 3104.67MIN: 2193.59 / MAX: 3652.32MIN: 2004.15 / MAX: 3534.38MIN: 2193.47 / MAX: 2987.271. (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 FP32 - Device: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core36912158.043.165.4710.6410.646.101. (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 - Device: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core60012001800240030002608.341684.861935.602020.212013.521782.06MIN: 2421.38 / MAX: 2754.89MIN: 1636.65 / MAX: 1721.46MIN: 1852.05 / MAX: 1974.19MIN: 1823.96 / MAX: 3111.51MIN: 1890.96 / MAX: 2802.82MIN: 1650.91 / MAX: 2051.031. (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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core4812162012.164.748.2315.7615.868.861. (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

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: 19 - Decompression Speedb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core300600900120015001276.81389.61394.31304.21312.01315.61375.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression Speedb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core51015202517.619.218.918.218.018.018.61. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core300600900120015001175.01821.36886.41912.42914.24826.77MIN: 982.69 / MAX: 1202.21MIN: 798.88 / MAX: 834.55MIN: 851.09 / MAX: 900.44MIN: 878.63 / MAX: 988.74MIN: 797.83 / MAX: 966.84MIN: 796.91 / MAX: 888.721. (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-INT8 - Device: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core81624324027.039.7117.9234.9134.8319.311. (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: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core50100150200250230.27151.73172.53180.91182.10162.50MIN: 166.99 / MAX: 311.89MIN: 131.11 / MAX: 163.85MIN: 81.35 / MAX: 207.95MIN: 124.49 / MAX: 288.01MIN: 117.14 / MAX: 548.18MIN: 133.61 / MAX: 274.151. (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: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core4080120160200138.8452.6692.61176.76175.4898.391. (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

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 - Decompression Speedb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core300600900120015001434.21541.71538.41460.11445.11454.71559.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression Speedb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core2004006008001000744.5727.0671.6792.1702.2702.8680.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

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 Networkb7373X 2P5 a5 2p b2 x AMD EPYC 7373X 16-Core20K40K60K80K100K39756823603999787133656571. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

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, Long Mode - Decompression Speedb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core300600900120015001300.81413.01414.11361.51336.51332.31415.41. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Compression Speedb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core2004006008001000752.6865.4813.6854.2741.5808.5854.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression Speedb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core300600900120015001445.91557.21552.01478.11498.91482.71563.01. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression Speedb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core70140210280350270.8305.1295.0289.1282.8283.6288.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression Speedb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core300600900120015001390.01523.91518.11438.81441.11437.51523.61. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression Speedb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core2004006008001000988.5913.5992.41067.81013.41024.01022.31. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Decompression Speedb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core300600900120015001277.31281.11362.41326.51309.51306.71384.11. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Compression Speedb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core60012001800240030002819.02661.02801.42856.62775.92783.72842.31. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

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: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core4812162016.9313.3612.7712.6612.6613.52MIN: 13.88 / MAX: 33.11MIN: 8.79 / MAX: 23.44MIN: 7.39 / MAX: 23.62MIN: 8.38 / MAX: 48.88MIN: 7.58 / MAX: 53.45MIN: 10.48 / MAX: 44.971. (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 Vehicle Bike Detection FP16 - Device: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core50010001500200025001888.20598.401252.052524.052523.571181.751. (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: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core4812162016.9312.2612.8412.7912.7612.54MIN: 10.73 / MAX: 31.24MIN: 7.79 / MAX: 21.63MIN: 6.96 / MAX: 23.28MIN: 7.68 / MAX: 43.18MIN: 7.65 / MAX: 43.58MIN: 9.03 / MAX: 28.231. (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: Vehicle Detection FP16-INT8 - Device: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core50010001500200025001889.05652.031244.862498.742504.361274.041. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core61218243026.5419.9919.0019.6919.5820.33MIN: 14.19 / MAX: 63.19MIN: 12.45 / MAX: 25.77MIN: 13.62 / MAX: 32.75MIN: 11.03 / MAX: 75.83MIN: 11.25 / MAX: 73.87MIN: 14.4 / MAX: 46.381. (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: Vehicle Detection FP16 - Device: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core4008001200160020001205.11400.07841.491623.831632.81786.171. (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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core61218243026.6817.5819.4520.0720.0617.91MIN: 15.32 / MAX: 46.54MIN: 15.76 / MAX: 27.27MIN: 11.98 / MAX: 28.4MIN: 13.26 / MAX: 75.83MIN: 11.41 / MAX: 47.48MIN: 9.87 / MAX: 67.231. (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: Weld Porosity Detection FP16 - Device: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core300600900120015001198.45454.90822.191592.711594.14892.671. (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-INT8 - Device: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core61218243023.9216.5818.1018.2518.2616.70MIN: 15.02 / MAX: 35.74MIN: 12.62 / MAX: 25.96MIN: 9.23 / MAX: 28.11MIN: 8.84 / MAX: 40.73MIN: 10.53 / MAX: 60.19MIN: 9.01 / MAX: 41.251. (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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core80016002400320040002674.29964.191767.133504.153501.691914.221. (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: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core0.39150.7831.17451.5661.95751.741.061.261.401.371.09MIN: 0.84 / MAX: 14.57MIN: 0.62 / MAX: 11.46MIN: 0.69 / MAX: 12.96MIN: 0.68 / MAX: 42.1MIN: 0.67 / MAX: 28.86MIN: 0.64 / MAX: 18.031. (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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUb7373x5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core8K16K24K32K40K35737.8214994.7625209.6238800.3439455.8629028.251. (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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUb7373x5 a5 2p b2 x AMD EPYC 7373X 16-Core0.36450.7291.09351.4581.82251.620.971.161.331.01MIN: 0.69 / MAX: 13.34MIN: 0.58 / MAX: 12.03MIN: 0.66 / MAX: 12.23MIN: 0.64 / MAX: 26.34MIN: 0.6 / MAX: 20.541. (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.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUb7373x5 a5 2p b2 x AMD EPYC 7373X 16-Core9K18K27K36K45K38091.4616278.2527340.9640352.4831155.591. (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: Fishy Cat - Compute: CPU-Onlyba7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core20406080100SE +/- 0.04, N = 334.6134.7795.9649.4452.6827.9027.9649.27

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 Halfspaceba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core20406080100SE +/- 0.29, N = 330.1230.5291.2749.8348.7449.1425.4725.2248.721. (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 Halfspaceba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core20406080100SE +/- 0.13, N = 327.4728.0878.6043.8644.3345.7123.2723.9443.781. (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

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: Fastba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core48121620SE +/- 0.10, N = 316.3716.5515.8014.9417.2516.8515.0414.8114.791. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

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_bareba7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core246810SE +/- 0.026, N = 37.2997.2902.9855.1935.0228.2228.2855.2481. (CXX) g++ options: -O3

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 4 - Input: Bosphorus 4Kba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core1.09422.18843.28264.37685.471SE +/- 0.021, N = 34.8264.8633.9934.6764.7604.7434.8424.7844.6441. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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-Onlyba7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core20406080100SE +/- 0.03, N = 327.6027.6178.7540.4742.5222.5122.5940.61

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 Detectionb7373X 2P5 a5 2p b2 x AMD EPYC 7373X 16-Core20K40K60K80K100K31910321872773988553318501. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

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: WPA PSKba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core60K120K180K240K300KSE +/- 297.59, N = 3202957201388708031391271310721308482584572594131362601. (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: bcryptba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core30K60K90K120K150KSE +/- 99.80, N = 3912768623031573625516015260192117542118502623601. (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: Blowfishba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core30K60K90K120K150KSE +/- 185.66, N = 3873608646031651623026034560325117771118579622441. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

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 1.30ba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core6001200180024003000SE +/- 25.52, N = 32692.42746.52854.12907.32820.42756.92850.82760.92894.21. (CXX) g++ options: -O3 -march=native -fPIE -pie

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 Ratingb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core100K200K300K400K500K4112131282352361362442204407404539962326231. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Ratingb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core90K180K270K360K450K3969281558792438622719183968444037392418031. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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 Halfspaceba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core1224364860SE +/- 0.20, N = 316.8217.2151.2623.9025.0924.9914.4214.4923.271. (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

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragon Objba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core1428425670SE +/- 0.03, N = 364.6464.5120.1034.8639.2239.1964.0464.4135.24MIN: 64.13 / MAX: 65.46MIN: 63.96 / MAX: 66.18MIN: 20.01 / MAX: 21.52MIN: 34.63 / MAX: 35.47MIN: 39 / MAX: 39.63MIN: 38.97 / MAX: 39.59MIN: 63.29 / MAX: 64.92MIN: 63.78 / MAX: 65.49MIN: 35.01 / MAX: 35.91

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragon Obja7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core1632486480SE +/- 0.08, N = 370.5223.3638.4344.1943.9668.7068.6938.78MIN: 69.67 / MAX: 71.94MIN: 22.36 / MAX: 24.19MIN: 38.17 / MAX: 39.69MIN: 43.94 / MAX: 44.51MIN: 43.73 / MAX: 44.3MIN: 67.96 / MAX: 69.64MIN: 68.03 / MAX: 70.15MIN: 38.54 / MAX: 39.74

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: Fasterba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core714212835SE +/- 0.03, N = 330.1130.0131.2724.2231.8031.8424.2724.4924.311. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

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 Synthesisb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core71421283528.1626.5126.5127.8328.1427.8726.471. (CC) gcc options: -O2 -std=c99

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 8 - Input: Bosphorus 4Kba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core1632486480SE +/- 0.56, N = 1267.5573.4449.2058.7070.8665.3469.5462.8458.361. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 Rateba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core714212835SE +/- 0.247911, N = 1529.04569029.3834968.02433614.70415318.64030017.87450031.76087631.34451514.4816471. (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: Tomographic Modelba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core816243240SE +/- 0.15, N = 313.5313.8635.5118.3319.6319.0911.8011.2218.031. (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

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 Compileba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core714212835SE +/- 0.03, N = 317.0416.9329.9819.7020.6420.3815.3415.4619.56

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. Helensba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core918273645SE +/- 0.038048290, N = 311.75332146011.67841461637.79595312917.82039039519.35555309218.8621990709.5947693509.60945386818.4066297691. (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

Z3 Theorem Prover

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

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

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: CPUb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core36912156.921456.826255.879514.4956510.3685010.522105.78798MIN: 6.32MIN: 5.9MIN: 4.97MIN: 3.9MIN: 8.54MIN: 8.88MIN: 4.871. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 4 - Input: Bosphorus 1080pba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core3691215SE +/- 0.02, N = 310.2310.3010.0210.4310.8310.7610.5010.4110.201. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 Hydrodynamicsb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core71421283511.3418.2628.5912.0915.5115.6730.671. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Crownba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core1632486480SE +/- 0.11, N = 363.3663.3721.3940.0040.1240.2473.2673.3340.36MIN: 62.44 / MAX: 66.52MIN: 62.18 / MAX: 66.58MIN: 21.25 / MAX: 21.62MIN: 39.56 / MAX: 40.59MIN: 39.64 / MAX: 40.56MIN: 39.64 / MAX: 40.95MIN: 72.13 / MAX: 74.82MIN: 71.99 / MAX: 75.06MIN: 39.78 / MAX: 41.03

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Crowna7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core20406080100SE +/- 0.05, N = 369.1123.5944.2243.9843.9581.0981.4544.88MIN: 68.18 / MAX: 71.75MIN: 23.47 / MAX: 23.76MIN: 43.54 / MAX: 44.81MIN: 43.29 / MAX: 44.67MIN: 43.49 / MAX: 44.42MIN: 80.03 / MAX: 82.56MIN: 80.49 / MAX: 83.06MIN: 44.32 / MAX: 45.69

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 Directionb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core61218243017.2125.2213.7219.6310.7610.6213.801. (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

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragonba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core1632486480SE +/- 0.01, N = 373.8373.8423.5740.1845.1144.9173.7873.9640.51MIN: 73.34 / MAX: 74.66MIN: 73.31 / MAX: 75.9MIN: 23.24 / MAX: 24.98MIN: 39.87 / MAX: 41.09MIN: 44.88 / MAX: 45.48MIN: 44.68 / MAX: 45.26MIN: 72.91 / MAX: 74.82MIN: 73.12 / MAX: 75.27MIN: 40.25 / MAX: 41.33

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragona7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core20406080100SE +/- 0.14, N = 378.4824.9142.7448.5148.5276.6376.8142.83MIN: 77.64 / MAX: 80.46MIN: 24.47 / MAX: 26.52MIN: 42.44 / MAX: 44.03MIN: 48.29 / MAX: 48.79MIN: 48.32 / MAX: 48.91MIN: 75.97 / MAX: 78.17MIN: 76.07 / MAX: 77.73MIN: 42.56 / MAX: 43.84

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 - Griddingb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core11K22K33K44K55K36827.515435.029155.124990.151199.149980.129155.11. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - Degriddingb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core9K18K27K36K45K32799.511662.021420.120991.741983.341983.321866.31. (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: IP Shapes 1D - Data Type: f32 - Engine: CPUb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core0.6491.2981.9472.5963.2451.261071.874462.174961.379962.884512.678012.05818MIN: 1.06MIN: 1.72MIN: 1.61MIN: 1.25MIN: 1.79MIN: 1.89MIN: 1.581. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -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 OpenMPb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core2004006008001000806.45729.93458.72869.57434.78436.68458.721. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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: sedovbigb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core6121824309.56361023.87947013.31026014.0011107.7933257.65636913.2864801. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

LULESH

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

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3b7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core9K18K27K36K45K22257.1410188.2527107.1420920.4942551.9042030.0427032.901. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 8 - Input: Bosphorus 1080pba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core20406080100SE +/- 1.23, N = 5109.71109.9892.98101.82108.36107.38104.17107.10100.591. (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: IP Shapes 3D - Data Type: f32 - Engine: CPUb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core0.28040.56080.84121.12161.4021.2461800.6097460.9481430.6259300.9172260.9118060.750853MIN: 1.13MIN: 0.57MIN: 0.62MIN: 0.57MIN: 0.77MIN: 0.78MIN: 0.571. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -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.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - Degriddingb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core4K8K12K16K20K19018.314792.013312.819018.315662.116641.013312.81. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - Griddingb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core4K8K12K16K20K20481.213312.812102.517750.412678.912102.511576.31. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 Facadeba7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core13002600390052006500SE +/- 3.21, N = 3583357935406548557185729568254981. (CXX) g++ options: -O3

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: leblancbigb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core481216205.10407814.5090907.4197397.9740224.4180124.2947317.4653731. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

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: Lionba7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core10002000300040005000SE +/- 7.02, N = 3488548674563461447604818473446421. (CXX) g++ options: -O3

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 12 - Input: Bosphorus 4Kba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core50100150200250SE +/- 0.73, N = 3214.93222.84152.19162.78226.73220.81176.11169.11163.331. (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: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core0.43520.87041.30561.74082.1760.8276221.9341601.0434801.1465600.6693490.6743361.034560MIN: 0.78MIN: 1.89MIN: 0.98MIN: 1.09MIN: 0.6MIN: 0.62MIN: 0.981. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 13 - Input: Bosphorus 4Kba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core4080120160200SE +/- 0.70, N = 3198.14195.92147.35159.26196.06199.69172.57169.66166.541. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 Directionb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core2468104.438041216.864689834.753952985.067564012.483869082.486542943.932473901. (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_3d - Data Type: f32 - Engine: CPUb7373x7373X 2P5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core0.85011.70022.55033.40044.25053.124873.778032.733572.762341.898591.851672.70057MIN: 2.06MIN: 3.69MIN: 2.6MIN: 2.59MIN: 1.58MIN: 1.61MIN: 2.521. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 12 - Input: Bosphorus 1080pba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core140280420560700SE +/- 2.97, N = 3601.98604.84487.08522.16622.73629.30565.06540.73525.641. (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 1080pba7373x7373X 2P5 b5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core120240360480600SE +/- 5.77, N = 3549.83552.24506.52490.99560.57571.08546.03525.15510.791. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

145 Results Shown

PETSc
OpenVKL
OpenFOAM:
  drivaerFastback, Medium Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Mesh Time
Blender
LeelaChessZero:
  Eigen
  BLAS
Timed LLVM Compilation
OpenCV
NCNN:
  CPU - FastestDet
  CPU - vision_transformer
  CPU - regnety_400m
  CPU - squeezenet_ssd
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
Timed LLVM Compilation
FFmpeg:
  libx265 - Platform:
    FPS
    Seconds
  libx265 - Video On Demand:
    FPS
    Seconds
OpenCV
FFmpeg:
  libx265 - Upload:
    FPS
    Seconds
ClickHouse:
  100M Rows Hits Dataset, Third Run
  100M Rows Hits Dataset, Second Run
  100M Rows Hits Dataset, First Run / Cold Cache
ASKAP:
  tConvolve MT - Degridding
  tConvolve MT - Gridding
Blender
VVenC
Blender
OpenCV
oneDNN:
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
FFmpeg:
  libx265 - Live:
    FPS
    Seconds
OpenFOAM:
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Small Mesh Size - Mesh Time
Zstd Compression:
  19, Long Mode - Decompression Speed
  19, Long Mode - Compression Speed
John The Ripper:
  MD5
  HMAC-SHA512
Z3 Theorem Prover
VVenC
OpenVINO:
  Person Detection FP16 - CPU:
    ms
    FPS
  Person Detection FP32 - CPU:
    ms
    FPS
  Face Detection FP16 - CPU:
    ms
    FPS
Zstd Compression:
  19 - Decompression Speed
  19 - Compression Speed
OpenVINO:
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
Zstd Compression:
  8, Long Mode - Decompression Speed
  8, Long Mode - Compression Speed
OpenCV
Zstd Compression:
  3, Long Mode - Decompression Speed
  3, Long Mode - Compression Speed
  12 - Decompression Speed
  12 - Compression Speed
  8 - Decompression Speed
  8 - Compression Speed
  3 - Decompression Speed
  3 - Compression Speed
OpenVINO:
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
  Vehicle Detection FP16 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
Blender
SPECFEM3D:
  Layered Halfspace
  Water-layered Halfspace
VVenC
GROMACS
SVT-AV1
Blender
OpenCV
John The Ripper:
  WPA PSK
  bcrypt
  Blowfish
QuantLib
7-Zip Compression:
  Decompression Rating
  Compression Rating
SPECFEM3D
Embree:
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer - Asian Dragon Obj
VVenC
eSpeak-NG Speech Engine
SVT-AV1
ACES DGEMM
SPECFEM3D
Timed FFmpeg Compilation
SPECFEM3D
Z3 Theorem Prover
oneDNN
SVT-AV1
CloverLeaf
Embree:
  Pathtracer ISPC - Crown
  Pathtracer - Crown
Xcompact3d Incompact3d
Embree:
  Pathtracer ISPC - Asian Dragon
  Pathtracer - Asian Dragon
ASKAP:
  tConvolve MPI - Gridding
  tConvolve MPI - Degridding
oneDNN
ASKAP
Pennant
LULESH
SVT-AV1
oneDNN
ASKAP:
  tConvolve OpenMP - Degridding
  tConvolve OpenMP - Gridding
Google Draco
Pennant
Google Draco
SVT-AV1
oneDNN
SVT-AV1
Xcompact3d Incompact3d
oneDNN
SVT-AV1:
  Preset 12 - Bosphorus 1080p
  Preset 13 - Bosphorus 1080p