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: Streams5 2p b5 ab16K32K48K64K80K74130.1831992.6156185.751. (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 ISPC7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba100200300400500SE +/- 0.33, N = 3306309213452452339340469470MIN: 54 / MAX: 1694MIN: 54 / MAX: 1845MIN: 29 / MAX: 1843MIN: 99 / MAX: 2013MIN: 98 / MAX: 1875MIN: 54 / MAX: 2307MIN: 55 / MAX: 2309MIN: 84 / MAX: 2565MIN: 84 / MAX: 2616

OpenFOAM

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution Time7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba130260390520650332.03334.90596.97203.65205.46427.71428.66363.7440.481. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh Time7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba306090120150116.27114.45149.0099.9399.38117.60117.44120.3925.351. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

Blender

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

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

LeelaChessZero

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

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: Eigen7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab2K4K6K8K10K13571450171478168286123851421. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLAS7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab2K4K6K8K10K17091676195579918284141955541. (CXX) g++ options: -flto -pthread

Timed LLVM Compilation

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

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

OpenCV

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

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

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformer7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab306090120150144.55145.33140.06145.49144.31126.26133.39MIN: 140.93 / MAX: 165.57MIN: 142.5 / MAX: 157.84MIN: 137.05 / MAX: 145.39MIN: 141.27 / MAX: 245.34MIN: 140.5 / MAX: 157.63MIN: 125.42 / MAX: 132.03MIN: 129.7 / MAX: 252.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssd7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab91827364523.8922.5812.7135.8137.1714.8519.32MIN: 22.35 / MAX: 46.47MIN: 21.5 / MAX: 36.98MIN: 12.37 / MAX: 13.22MIN: 29.14 / MAX: 58.45MIN: 30.62 / MAX: 51.54MIN: 14.49 / MAX: 25.32MIN: 18.86 / MAX: 22.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tiny7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab102030405033.7431.9818.2345.8938.1019.9823.92MIN: 28.02 / MAX: 43.18MIN: 26.72 / MAX: 48.39MIN: 17.97 / MAX: 23.77MIN: 34.08 / MAX: 64.66MIN: 29.08 / MAX: 101.85MIN: 19.53 / MAX: 23.19MIN: 23.17 / MAX: 30.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnet7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab71421283510.299.784.7628.5518.605.487.13MIN: 9.46 / MAX: 14.07MIN: 9.12 / MAX: 10.95MIN: 4.68 / MAX: 5.71MIN: 12.6 / MAX: 62.18MIN: 17.59 / MAX: 34.64MIN: 5.36 / MAX: 6.34MIN: 6.97 / MAX: 7.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg167373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab81624324029.8232.7720.4732.8133.5521.0824.04MIN: 27.79 / MAX: 34.74MIN: 29.33 / MAX: 38.66MIN: 20.22 / MAX: 21.34MIN: 30.06 / MAX: 44.76MIN: 28.65 / MAX: 42.53MIN: 20.78 / MAX: 24.35MIN: 23.49 / MAX: 30.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenet7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab30609012015045.4127.6311.76112.4393.2914.1119.09MIN: 28.42 / MAX: 186.92MIN: 23.37 / MAX: 37.04MIN: 29.99 / MAX: 148.59MIN: 52.46 / MAX: 137.19MIN: 18.77 / MAX: 25.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnet7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab112233445538.9837.624.5249.4638.496.0811.71MIN: 32.96 / MAX: 44.92MIN: 29.31 / MAX: 44.7MIN: 36.42 / MAX: 176.46MIN: 25.51 / MAX: 75.24MIN: 6.01 / MAX: 6.54MIN: 9.43 / MAX: 20.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v37373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab71421283529.5224.194.5028.8821.266.1910.29MIN: 25.64 / MAX: 34.13MIN: 19.28 / MAX: 34.5MIN: 4.43 / MAX: 5.26MIN: 23.66 / MAX: 168.43MIN: 20.79 / MAX: 28.25MIN: 6.05 / MAX: 6.93MIN: 9.51 / MAX: 11.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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

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

Timed LLVM Compilation

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

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

FFmpeg

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

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

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

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

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

OpenCV

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

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

FFmpeg

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

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

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

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 Run7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab100200300400500436.29429.56384.96448.03461.53456.30437.35MIN: 24.91 / MAX: 3750MIN: 25.01 / MAX: 4615.38MIN: 13.8 / MAX: 6666.67MIN: 41.38 / MAX: 2608.7MIN: 41.49 / MAX: 3000MIN: 24.65 / MAX: 5454.55MIN: 35.59 / MAX: 5454.55

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second Run7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab100200300400500433.56438.36386.60467.46463.68457.81439.07MIN: 24.58 / MAX: 4285.71MIN: 25.08 / MAX: 4285.71MIN: 13.7 / MAX: 6666.67MIN: 40.6 / MAX: 4615.38MIN: 41.64 / MAX: 4615.38MIN: 24.13 / MAX: 5454.55MIN: 35.82 / MAX: 6000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold Cache7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab100200300400500420.94420.29351.01440.56445.18437.20428.51MIN: 24.79 / MAX: 3750MIN: 24.7 / MAX: 5454.55MIN: 13.78 / MAX: 6666.67MIN: 40.98 / MAX: 4000MIN: 41.18 / MAX: 3157.89MIN: 24.3 / MAX: 6000MIN: 34.8 / MAX: 5454.55

ASKAP

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

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - Degridding7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab3K6K9K12K15K12025.7011891.4010352.6011068.8012506.709611.058308.331. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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

Blender

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

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

VVenC

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

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

Blender

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

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

OpenCV

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

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

oneDNN

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

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

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

FFmpeg

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

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

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

OpenFOAM

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution Time7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba2040608010074.5976.0978.7532.9733.0050.7050.7540.2440.451. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh Time7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba61218243024.6724.2726.3923.3422.5622.7122.3425.6024.731. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

Zstd Compression

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

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

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

John The Ripper

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

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

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

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: Faster7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba3691215SE +/- 0.022, N = 310.08310.12711.2249.9069.57412.02011.96111.36411.3671. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

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

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

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

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab60012001800240030001782.061684.862020.212013.521935.602608.34MIN: 1650.91 / MAX: 2051.03MIN: 1636.65 / MAX: 1721.46MIN: 1823.96 / MAX: 3111.51MIN: 1890.96 / MAX: 2802.82MIN: 1852.05 / MAX: 1974.19MIN: 2421.38 / MAX: 2754.891. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

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

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 Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab300600900120015001394.31375.81389.61312.01315.61304.21276.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

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

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab81624324019.319.7134.9134.8317.9227.031. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

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

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

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 Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab300600900120015001538.41559.81541.71445.11454.71460.11434.21. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab2004006008001000671.6680.9727.0702.2702.8792.1744.51. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenCV

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

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: DNN - Deep Neural Network7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b5 ab20K40K60K80K100K82360656578713339997397561. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

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 Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab300600900120015001414.11415.41413.01336.51332.31361.51300.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

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

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab70140210280350295.0288.9305.1282.8283.6289.1270.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

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

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

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Compression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab60012001800240030002801.42842.32661.02775.92783.72856.62819.01. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenVINO

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

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

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

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

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab61218243020.3319.9919.6919.5819.0026.54MIN: 14.4 / MAX: 46.38MIN: 12.45 / MAX: 25.77MIN: 11.03 / MAX: 75.83MIN: 11.25 / MAX: 73.87MIN: 13.62 / MAX: 32.75MIN: 14.19 / MAX: 63.191. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

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

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

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

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

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

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

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

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

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

Blender

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

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

SPECFEM3D

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

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

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

VVenC

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

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

GROMACS

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

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

SVT-AV1

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

Blender

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

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

OpenCV

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

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

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 PSK7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 b5 aba60K120K180K240K300KSE +/- 297.59, N = 3139127136260708032584572594131310721308482029572013881. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

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

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

QuantLib

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

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

7-Zip Compression

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

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

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

SPECFEM3D

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

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

Embree

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

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

VVenC

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

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

eSpeak-NG Speech Engine

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

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

SVT-AV1

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

ACES DGEMM

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

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

SPECFEM3D

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

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

Timed FFmpeg Compilation

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

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

SPECFEM3D

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

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

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

SVT-AV1

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

CloverLeaf

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

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

Embree

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

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

Xcompact3d Incompact3d

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

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Direction7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab61218243013.7213.8025.2210.7610.6219.6317.211. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Embree

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

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

ASKAP

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

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

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

oneDNN

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

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

ASKAP

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

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMP7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab2004006008001000458.72458.72729.93434.78436.68869.57806.451. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Pennant

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

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbig7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab61218243013.31026013.28648023.8794707.7933257.65636914.0011109.5636101. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

LULESH

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

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.37373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab9K18K27K36K45K27107.1427032.9010188.2542551.9042030.0420920.4922257.141. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

SVT-AV1

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

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab0.28040.56080.84121.12161.4020.9481430.7508530.6097460.9172260.9118060.6259301.246180MIN: 0.62MIN: 0.57MIN: 0.57MIN: 0.77MIN: 0.78MIN: 0.57MIN: 1.131. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

ASKAP

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

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - Degridding7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab4K8K12K16K20K13312.813312.814792.015662.116641.019018.319018.31. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - Gridding7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab4K8K12K16K20K12102.511576.313312.812678.912102.517750.420481.21. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Google Draco

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

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

Pennant

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

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbig7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab481216207.4197397.46537314.5090904.4180124.2947317.9740225.1040781. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Google Draco

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

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

SVT-AV1

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

oneDNN

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

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

SVT-AV1

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

Xcompact3d Incompact3d

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

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Direction7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab2468104.753952983.932473906.864689832.483869082.486542945.067564014.438041211. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

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: CPU7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 ab0.85011.70022.55033.40044.25052.733572.700573.778031.898591.851672.762343.12487MIN: 2.6MIN: 2.52MIN: 3.69MIN: 1.58MIN: 1.61MIN: 2.59MIN: 2.061. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

SVT-AV1

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

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

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