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 ab5 2p b16K32K48K64K80K31992.6156185.7574130.181. (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 ISPC7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 b5 a5 2p a5 2p bba100200300400500SE +/- 0.33, N = 3213306309339340452452469470MIN: 29 / MAX: 1843MIN: 54 / MAX: 1694MIN: 54 / MAX: 1845MIN: 54 / MAX: 2307MIN: 55 / MAX: 2309MIN: 98 / MAX: 1875MIN: 99 / MAX: 2013MIN: 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 Time7373x5 a5 bb2 x AMD EPYC 7373X 16-Core7373X 2P5 2p a5 2p ba130260390520650596.97428.66427.71363.74334.90332.03205.46203.6540.481. (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 Time7373xb5 b5 a7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b5 2p aa306090120150149.00120.39117.60117.44116.27114.4599.9399.3825.351. (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-Only7373x5 a7373X 2P2 x AMD EPYC 7373X 16-Coreab5 2p a5 2p b170340510680850SE +/- 0.09, N = 3768.94408.79396.80393.87260.83259.87213.60213.46

LeelaChessZero

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

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: Eigen5 a7373X 2P2 x AMD EPYC 7373X 16-Core7373xb5 2p b5 2p a2K4K6K8K10K12381357145017145142781682861. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLAS5 a2 x AMD EPYC 7373X 16-Core7373X 2P7373xb5 2p b5 2p a2K4K6K8K10K14191676170919555554799182841. (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 Makefiles7373x5 b5 a2 x AMD EPYC 7373X 16-Core7373X 2Pba5 2p b5 2p a90180270360450SE +/- 0.96, N = 3433.97297.22290.54277.06271.83248.48246.96221.79219.40

OpenCV

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

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Graph API5 2p b7373X 2P2 x AMD EPYC 7373X 16-Coreb5 a90K180K270K360K450K4197023637452630672358102069701. (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: FastestDet5 2p b5 2p a7373X 2P2 x AMD EPYC 7373X 16-Coreb5 a7373x122436486053.2540.4539.4821.3619.089.257.35MIN: 30.07 / MAX: 66.77MIN: 27.4 / MAX: 462.07MIN: 21.82 / MAX: 52.04MIN: 19.71 / MAX: 29.28MIN: 13.65 / MAX: 21.7MIN: 9.12 / MAX: 9.81MIN: 7.23 / MAX: 7.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformer5 2p b2 x AMD EPYC 7373X 16-Core7373X 2P5 2p a7373xb5 a306090120150145.49145.33144.55144.31140.06133.39126.26MIN: 141.27 / MAX: 245.34MIN: 142.5 / MAX: 157.84MIN: 140.93 / MAX: 165.57MIN: 140.5 / MAX: 157.63MIN: 137.05 / MAX: 145.39MIN: 129.7 / MAX: 252.77MIN: 125.42 / MAX: 132.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400m5 2p b5 2p a2 x AMD EPYC 7373X 16-Core7373X 2Pb5 a7373x306090120150128.35100.6586.2284.8853.5226.3417.60MIN: 111.43 / MAX: 240.27MIN: 97.81 / MAX: 136.12MIN: 82.8 / MAX: 122.51MIN: 80.66 / MAX: 90.33MIN: 50.93 / MAX: 71.06MIN: 25.99 / MAX: 28.26MIN: 17.32 / MAX: 18.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssd5 2p a5 2p b7373X 2P2 x AMD EPYC 7373X 16-Coreb5 a7373x91827364537.1735.8123.8922.5819.3214.8512.71MIN: 30.62 / MAX: 51.54MIN: 29.14 / MAX: 58.45MIN: 22.35 / MAX: 46.47MIN: 21.5 / MAX: 36.98MIN: 18.86 / MAX: 22.39MIN: 14.49 / MAX: 25.32MIN: 12.37 / MAX: 13.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tiny5 2p b5 2p a7373X 2P2 x AMD EPYC 7373X 16-Coreb5 a7373x102030405045.8938.1033.7431.9823.9219.9818.23MIN: 34.08 / MAX: 64.66MIN: 29.08 / MAX: 101.85MIN: 28.02 / MAX: 43.18MIN: 26.72 / MAX: 48.39MIN: 23.17 / MAX: 30.48MIN: 19.53 / MAX: 23.19MIN: 17.97 / MAX: 23.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet505 2p b5 2p a7373X 2P2 x AMD EPYC 7373X 16-Coreb5 a7373x306090120150120.2780.8130.7125.3819.5814.8013.25MIN: 42.99 / MAX: 192.41MIN: 62.51 / MAX: 112.38MIN: 27.2 / MAX: 36.97MIN: 22.8 / MAX: 34.84MIN: 19.15 / MAX: 44.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnet5 2p b5 2p a7373X 2P2 x AMD EPYC 7373X 16-Coreb5 a7373x71421283528.5518.6010.299.787.135.484.76MIN: 12.6 / MAX: 62.18MIN: 17.59 / MAX: 34.64MIN: 9.46 / MAX: 14.07MIN: 9.12 / MAX: 10.95MIN: 6.97 / MAX: 7.76MIN: 5.36 / MAX: 6.34MIN: 4.68 / MAX: 5.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet185 2p b5 2p a7373X 2P2 x AMD EPYC 7373X 16-Coreb5 a7373x122436486051.8038.9415.1413.6210.898.127.05MIN: 16.09 / MAX: 93.56MIN: 16.05 / MAX: 124.98MIN: 13.62 / MAX: 18.75MIN: 13.43 / MAX: 16.6MIN: 10.68 / MAX: 11.74MIN: 8.01 / MAX: 10.04MIN: 6.95 / MAX: 7.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg165 2p a5 2p b2 x AMD EPYC 7373X 16-Core7373X 2Pb5 a7373x81624324033.5532.8132.7729.8224.0421.0820.47MIN: 28.65 / MAX: 42.53MIN: 30.06 / MAX: 44.76MIN: 29.33 / MAX: 38.66MIN: 27.79 / MAX: 34.74MIN: 23.49 / MAX: 30.66MIN: 20.78 / MAX: 24.35MIN: 20.22 / MAX: 21.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenet5 2p b5 2p a7373X 2P2 x AMD EPYC 7373X 16-Coreb5 a7373x306090120150112.4393.2945.4127.6319.0914.1111.76MIN: 29.99 / MAX: 148.59MIN: 52.46 / MAX: 137.19MIN: 28.42 / MAX: 186.92MIN: 23.37 / MAX: 37.04MIN: 18.77 / MAX: 25.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazeface5 2p b7373X 2P2 x AMD EPYC 7373X 16-Core5 2p ab5 a7373x61218243024.5618.7518.4014.658.123.822.40MIN: 20.64 / MAX: 91.2MIN: 15.74 / MAX: 22.59MIN: 16.72 / MAX: 22.27MIN: 11.34 / MAX: 73.36MIN: 6.94 / MAX: 11.1MIN: 3.45 / MAX: 79.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b05 2p b7373X 2P2 x AMD EPYC 7373X 16-Core5 2p ab5 a7373x142842567060.7946.6946.6735.1215.449.036.97MIN: 47.67 / MAX: 141.85MIN: 36.92 / MAX: 81.01MIN: 36.84 / MAX: 52.67MIN: 33.83 / MAX: 41.96MIN: 13.63 / MAX: 18.67MIN: 8.93 / MAX: 11.07MIN: 6.9 / MAX: 7.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnet5 2p b7373X 2P5 2p a2 x AMD EPYC 7373X 16-Coreb5 a7373x112233445549.4638.9838.4937.6211.716.084.52MIN: 36.42 / MAX: 176.46MIN: 32.96 / MAX: 44.92MIN: 25.51 / MAX: 75.24MIN: 29.31 / MAX: 44.7MIN: 9.43 / MAX: 20.81MIN: 6.01 / MAX: 6.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v25 2p b5 2p a2 x AMD EPYC 7373X 16-Core7373X 2Pb5 a7373x91827364537.8933.2731.8831.6515.607.735.86MIN: 34.63 / MAX: 113.32MIN: 29.37 / MAX: 96.69MIN: 27.33 / MAX: 35.67MIN: 28.59 / MAX: 37.25MIN: 12.95 / MAX: 19.73MIN: 7.58 / MAX: 9.71MIN: 5.76 / MAX: 6.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v37373X 2P5 2p b2 x AMD EPYC 7373X 16-Core5 2p ab5 a7373x71421283529.5228.8824.1921.2610.296.194.50MIN: 25.64 / MAX: 34.13MIN: 23.66 / MAX: 168.43MIN: 19.28 / MAX: 34.5MIN: 20.79 / MAX: 28.25MIN: 9.51 / MAX: 11.93MIN: 6.05 / MAX: 6.93MIN: 4.43 / MAX: 5.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v25 2p b7373X 2P2 x AMD EPYC 7373X 16-Core5 2p ab5 a7373x91827364538.6733.1628.8527.7011.306.464.92MIN: 28.02 / MAX: 119.64MIN: 24.4 / MAX: 44MIN: 18.28 / MAX: 40.64MIN: 23.18 / MAX: 43.54MIN: 9.74 / MAX: 14.96MIN: 6.35 / MAX: 8.73MIN: 4.84 / MAX: 5.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenet5 2p b7373X 2P5 2p a2 x AMD EPYC 7373X 16-Coreb5 a7373x306090120150115.6879.8277.7767.1517.8413.7012.23MIN: 64.45 / MAX: 159.93MIN: 65.63 / MAX: 95.23MIN: 67.11 / MAX: 156MIN: 21.26 / MAX: 78.89MIN: 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: Ninja7373x5 b5 a7373X 2P2 x AMD EPYC 7373X 16-Coreab5 2p a5 2p b80160240320400SE +/- 0.08, N = 3391.79231.09230.38212.52211.49165.71164.45138.72138.57

FFmpeg

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

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Platform5 2p bab5 2p a2 x AMD EPYC 7373X 16-Core7373X 2P7373x5 a1122334455SE +/- 0.02, N = 343.6443.7343.9044.3144.5645.7246.6746.701. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Platform5 2p bab5 2p a2 x AMD EPYC 7373X 16-Core7373X 2P7373x5 a4080120160200SE +/- 0.08, N = 3173.56173.23172.57170.94169.99165.70162.30162.191. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On Demanda5 2p bb7373X 2P5 2p a2 x AMD EPYC 7373X 16-Core7373x5 a1122334455SE +/- 0.04, N = 343.6743.7743.9044.3844.9745.6746.6646.891. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On Demanda5 2p bb7373X 2P5 2p a2 x AMD EPYC 7373X 16-Core7373x5 a4080120160200SE +/- 0.15, N = 3173.47173.05172.53170.68168.46165.87162.33161.541. (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: Stitching5 2p b2 x AMD EPYC 7373X 16-Core7373X 2Pb5 a60K120K180K240K300K2874922329772281232011601840321. (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: Uploadab5 2p b2 x AMD EPYC 7373X 16-Core7373X 2P5 2p a7373x5 b5 a510152025SE +/- 0.01, N = 321.5921.6222.1022.2122.3522.3822.8322.9322.951. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Uploadab5 2p b2 x AMD EPYC 7373X 16-Core7373X 2P5 2p a7373x5 b5 a306090120150SE +/- 0.05, N = 3116.93116.81114.26113.67112.96112.82110.61110.14110.011. (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 Run7373x2 x AMD EPYC 7373X 16-Core7373X 2Pb5 2p b5 a5 2p a100200300400500384.96429.56436.29437.35448.03456.30461.53MIN: 13.8 / MAX: 6666.67MIN: 25.01 / MAX: 4615.38MIN: 24.91 / MAX: 3750MIN: 35.59 / MAX: 5454.55MIN: 41.38 / MAX: 2608.7MIN: 24.65 / MAX: 5454.55MIN: 41.49 / MAX: 3000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second Run7373x7373X 2P2 x AMD EPYC 7373X 16-Coreb5 a5 2p a5 2p b100200300400500386.60433.56438.36439.07457.81463.68467.46MIN: 13.7 / MAX: 6666.67MIN: 24.58 / MAX: 4285.71MIN: 25.08 / MAX: 4285.71MIN: 35.82 / MAX: 6000MIN: 24.13 / MAX: 5454.55MIN: 41.64 / MAX: 4615.38MIN: 40.6 / MAX: 4615.38

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold Cache7373x2 x AMD EPYC 7373X 16-Core7373X 2Pb5 a5 2p b5 2p a100200300400500351.01420.29420.94428.51437.20440.56445.18MIN: 13.78 / MAX: 6666.67MIN: 24.7 / MAX: 5454.55MIN: 24.79 / MAX: 3750MIN: 34.8 / MAX: 5454.55MIN: 24.3 / MAX: 6000MIN: 40.98 / MAX: 4000MIN: 41.18 / MAX: 3157.89

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 - Degriddingb5 a7373x5 2p b2 x AMD EPYC 7373X 16-Core7373X 2P5 2p a3K6K9K12K15K8308.339611.0510352.6011068.8011891.4012025.7012506.701. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - Griddingb5 a5 2p b5 2p a7373x7373X 2P2 x AMD EPYC 7373X 16-Core2K4K6K8K10K5493.356599.687176.417738.598783.709605.639627.341. (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-Only7373x5 a2 x AMD EPYC 7373X 16-Core7373X 2Pab5 2p b5 2p a60120180240300SE +/- 0.10, N = 3252.02136.58127.96127.5088.7688.7371.7371.64

VVenC

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 4K - Video Preset: Fast5 2p a7373x5 2p b7373X 2P2 x AMD EPYC 7373X 16-Coreba5 b5 a246810SE +/- 0.010, N = 35.5485.7195.7685.7745.8776.1286.2866.3906.4061. (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-Only7373x5 a2 x AMD EPYC 7373X 16-Core7373X 2Pab5 2p b5 2p a50100150200250SE +/- 0.17, N = 3212.97113.31108.30108.0672.4572.0258.5758.55

OpenCV

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

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Core5 2p b7373X 2P2 x AMD EPYC 7373X 16-Coreb5 a50K100K150K200K250K236445987388562177061683431. (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: CPU7373x5 2p a5 2p b2 x AMD EPYC 7373X 16-Core7373X 2Pb5 a4008001200160020001760.491390.361385.331377.391370.611183.631182.61MIN: 1746.27MIN: 1287.43MIN: 1314.76MIN: 1316MIN: 1312.47MIN: 1162.73MIN: 1161.831. (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 2P5 2p b5 2p a2 x AMD EPYC 7373X 16-Core7373xb5 a300600900120015001349.921305.961212.841177.81906.61749.62679.65MIN: 1150.78MIN: 1060.61MIN: 1070.52MIN: 1030.68MIN: 898.73MIN: 731.75MIN: 664.641. (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: Live5 2p a7373X 2Pab5 2p b5 b5 a2 x AMD EPYC 7373X 16-Core7373x306090120150SE +/- 0.29, N = 392.5299.82105.78106.98107.29110.29110.49111.07114.631. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Live5 2p a7373X 2Pab5 2p b5 b5 a2 x AMD EPYC 7373X 16-Core7373x1224364860SE +/- 0.13, N = 354.5850.5947.7447.2147.0745.7945.7145.4744.061. (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 Time7373x2 x AMD EPYC 7373X 16-Core7373X 2P5 a5 bab5 2p a5 2p b2040608010078.7576.0974.5950.7550.7040.4540.2433.0032.971. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh Time7373xba7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b5 b5 2p a5 a61218243026.3925.6024.7324.6724.2723.3422.7122.5622.341. (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 Speedb5 2p a5 2p b5 a2 x AMD EPYC 7373X 16-Core7373X 2P7373x300600900120015001190.81222.91227.11229.11289.91292.11312.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression Speedb5 2p b5 a5 2p a7373x2 x AMD EPYC 7373X 16-Core7373X 2P36912159.309.509.549.5710.1010.1010.101. (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: MD57373x5 b5 a2 x AMD EPYC 7373X 16-Core7373X 2Pab5 2p b5 2p a1.5M3M4.5M6M7.5MSE +/- 1000.00, N = 31959000360500036210003735000373900055340005543000668300068450001. (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-SHA5127373x2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b5 2p a5 b5 aba30M60M90M120M150MSE +/- 266743.32, N = 3596800006721300068530000732600007900200094924000960590001351650001367960001. (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: Faster5 2p a5 2p b7373X 2P2 x AMD EPYC 7373X 16-Core7373xba5 a5 b3691215SE +/- 0.022, N = 39.5749.90610.08310.12711.22411.36411.36711.96112.0201. (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: CPUb5 2p a5 2p b5 a2 x AMD EPYC 7373X 16-Core7373x80016002400320040003911.972975.152948.392881.042547.352493.98MIN: 3337.4 / MAX: 4451.63MIN: 2241.37 / MAX: 3616.82MIN: 1547.54 / MAX: 3537.3MIN: 1536.21 / MAX: 3142.35MIN: 1516.1 / MAX: 2961.68MIN: 2275.06 / MAX: 2587.161. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPU7373x5 a2 x AMD EPYC 7373X 16-Coreb5 2p a5 2p b36912153.175.486.178.0510.5410.631. (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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUb5 2p b5 2p a5 a2 x AMD EPYC 7373X 16-Core7373x80016002400320040003927.002952.762946.972886.122595.652496.52MIN: 3402.58 / MAX: 4474.47MIN: 2193.59 / MAX: 3652.32MIN: 2004.15 / MAX: 3534.38MIN: 1694.68 / MAX: 3104.67MIN: 2193.47 / MAX: 2987.27MIN: 1381.65 / MAX: 2622.641. (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: CPU7373x5 a2 x AMD EPYC 7373X 16-Coreb5 2p a5 2p b36912153.165.476.108.0410.6410.641. (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: CPUb5 2p b5 2p a5 a2 x AMD EPYC 7373X 16-Core7373x60012001800240030002608.342020.212013.521935.601782.061684.86MIN: 2421.38 / MAX: 2754.89MIN: 1823.96 / MAX: 3111.51MIN: 1890.96 / MAX: 2802.82MIN: 1852.05 / MAX: 1974.19MIN: 1650.91 / MAX: 2051.03MIN: 1636.65 / MAX: 1721.461. (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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPU7373x5 a2 x AMD EPYC 7373X 16-Coreb5 2p b5 2p a481216204.748.238.8612.1615.7615.861. (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 Speedb5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core7373x7373X 2P300600900120015001276.81304.21312.01315.61375.81389.61394.31. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression Speedb5 2p a5 2p b5 a2 x AMD EPYC 7373X 16-Core7373X 2P7373x51015202517.618.018.018.218.618.919.21. (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: CPUb5 2p a5 2p b5 a2 x AMD EPYC 7373X 16-Core7373x300600900120015001175.01914.24912.42886.41826.77821.36MIN: 982.69 / MAX: 1202.21MIN: 797.83 / MAX: 966.84MIN: 878.63 / MAX: 988.74MIN: 851.09 / MAX: 900.44MIN: 796.91 / MAX: 888.72MIN: 798.88 / MAX: 834.551. (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: CPU7373x5 a2 x AMD EPYC 7373X 16-Coreb5 2p a5 2p b8162432409.7117.9219.3127.0334.8334.911. (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: CPUb5 2p a5 2p b5 a2 x AMD EPYC 7373X 16-Core7373x50100150200250230.27182.10180.91172.53162.50151.73MIN: 166.99 / MAX: 311.89MIN: 117.14 / MAX: 548.18MIN: 124.49 / MAX: 288.01MIN: 81.35 / MAX: 207.95MIN: 133.61 / MAX: 274.15MIN: 131.11 / MAX: 163.851. (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: CPU7373x5 a2 x AMD EPYC 7373X 16-Coreb5 2p a5 2p b408012016020052.6692.6198.39138.84175.48176.761. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

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 Speedb5 2p b5 2p a5 a7373X 2P7373x2 x AMD EPYC 7373X 16-Core300600900120015001434.21445.11454.71460.11538.41541.71559.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression Speed7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b5 2p a7373xb5 a2004006008001000671.6680.9702.2702.8727.0744.5792.11. (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 Network5 2p b7373X 2P2 x AMD EPYC 7373X 16-Core5 ab20K40K60K80K100K87133823606565739997397561. (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 Speedb5 2p a5 2p b5 a7373x7373X 2P2 x AMD EPYC 7373X 16-Core300600900120015001300.81332.31336.51361.51413.01414.11415.41. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Compression Speed5 2p bb5 2p a7373X 2P5 a2 x AMD EPYC 7373X 16-Core7373x2004006008001000741.5752.6808.5813.6854.2854.9865.41. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression Speedb5 a5 2p a5 2p b7373X 2P7373x2 x AMD EPYC 7373X 16-Core300600900120015001445.91478.11482.71498.91552.01557.21563.01. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression Speedb5 2p b5 2p a2 x AMD EPYC 7373X 16-Core5 a7373X 2P7373x70140210280350270.8282.8283.6288.9289.1295.0305.11. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression Speedb5 2p a5 a5 2p b7373X 2P2 x AMD EPYC 7373X 16-Core7373x300600900120015001390.01437.51438.81441.11518.11523.61523.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression Speed7373xb7373X 2P5 2p b2 x AMD EPYC 7373X 16-Core5 2p a5 a2004006008001000913.5988.5992.41013.41022.31024.01067.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Decompression Speedb7373x5 2p a5 2p b5 a7373X 2P2 x AMD EPYC 7373X 16-Core300600900120015001277.31281.11306.71309.51326.51362.41384.11. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Compression Speed7373x5 2p b5 2p a7373X 2Pb2 x AMD EPYC 7373X 16-Core5 a60012001800240030002661.02775.92783.72801.42819.02842.32856.61. (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: Person Vehicle Bike Detection FP16 - Device: CPUb2 x AMD EPYC 7373X 16-Core7373x5 a5 2p b5 2p a4812162016.9313.5213.3612.7712.6612.66MIN: 13.88 / MAX: 33.11MIN: 10.48 / MAX: 44.97MIN: 8.79 / MAX: 23.44MIN: 7.39 / MAX: 23.62MIN: 8.38 / MAX: 48.88MIN: 7.58 / MAX: 53.451. (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.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPU7373x2 x AMD EPYC 7373X 16-Core5 ab5 2p a5 2p b5001000150020002500598.401181.751252.051888.202523.572524.051. (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-INT8 - Device: CPUb5 a5 2p b5 2p a2 x AMD EPYC 7373X 16-Core7373x4812162016.9312.8412.7912.7612.5412.26MIN: 10.73 / MAX: 31.24MIN: 6.96 / MAX: 23.28MIN: 7.68 / MAX: 43.18MIN: 7.65 / MAX: 43.58MIN: 9.03 / MAX: 28.23MIN: 7.79 / MAX: 21.631. (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: Vehicle Detection FP16-INT8 - Device: CPU7373x5 a2 x AMD EPYC 7373X 16-Coreb5 2p b5 2p a5001000150020002500652.031244.861274.041889.052498.742504.361. (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: CPUb2 x AMD EPYC 7373X 16-Core7373x5 2p b5 2p a5 a61218243026.5420.3319.9919.6919.5819.00MIN: 14.19 / MAX: 63.19MIN: 14.4 / MAX: 46.38MIN: 12.45 / MAX: 25.77MIN: 11.03 / MAX: 75.83MIN: 11.25 / MAX: 73.87MIN: 13.62 / MAX: 32.751. (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.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPU7373x2 x AMD EPYC 7373X 16-Core5 ab5 2p b5 2p a400800120016002000400.07786.17841.491205.111623.831632.811. (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: CPUb5 2p b5 2p a5 a2 x AMD EPYC 7373X 16-Core7373x61218243026.6820.0720.0619.4517.9117.58MIN: 15.32 / MAX: 46.54MIN: 13.26 / MAX: 75.83MIN: 11.41 / MAX: 47.48MIN: 11.98 / MAX: 28.4MIN: 9.87 / MAX: 67.23MIN: 15.76 / MAX: 27.271. (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: Weld Porosity Detection FP16 - Device: CPU7373x5 a2 x AMD EPYC 7373X 16-Coreb5 2p b5 2p a30060090012001500454.90822.19892.671198.451592.711594.141. (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: CPUb5 2p a5 2p b5 a2 x AMD EPYC 7373X 16-Core7373x61218243023.9218.2618.2518.1016.7016.58MIN: 15.02 / MAX: 35.74MIN: 10.53 / MAX: 60.19MIN: 8.84 / MAX: 40.73MIN: 9.23 / MAX: 28.11MIN: 9.01 / MAX: 41.25MIN: 12.62 / MAX: 25.961. (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: CPU7373x5 a2 x AMD EPYC 7373X 16-Coreb5 2p a5 2p b8001600240032004000964.191767.131914.222674.293501.693504.151. (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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUb5 2p b5 2p a5 a2 x AMD EPYC 7373X 16-Core7373x0.39150.7831.17451.5661.95751.741.401.371.261.091.06MIN: 0.84 / MAX: 14.57MIN: 0.68 / MAX: 42.1MIN: 0.67 / MAX: 28.86MIN: 0.69 / MAX: 12.96MIN: 0.64 / MAX: 18.03MIN: 0.62 / MAX: 11.461. (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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU7373x5 a2 x AMD EPYC 7373X 16-Coreb5 2p b5 2p a8K16K24K32K40K14994.7625209.6229028.2535737.8238800.3439455.861. (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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUb5 2p b5 a2 x AMD EPYC 7373X 16-Core7373x0.36450.7291.09351.4581.82251.621.331.161.010.97MIN: 0.69 / MAX: 13.34MIN: 0.64 / MAX: 26.34MIN: 0.66 / MAX: 12.23MIN: 0.6 / MAX: 20.54MIN: 0.58 / MAX: 12.031. (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-INT8 - Device: CPU7373x5 a2 x AMD EPYC 7373X 16-Coreb5 2p b9K18K27K36K45K16278.2527340.9631155.5938091.4640352.481. (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-Only7373x5 a7373X 2P2 x AMD EPYC 7373X 16-Coreab5 2p a5 2p b20406080100SE +/- 0.04, N = 395.9652.6849.4449.2734.7734.6127.9627.90

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 Halfspace7373x7373X 2P5 a5 b2 x AMD EPYC 7373X 16-Coreab5 2p b5 2p a20406080100SE +/- 0.29, N = 391.2749.8349.1448.7448.7230.5230.1225.4725.221. (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 Halfspace7373x5 a5 b7373X 2P2 x AMD EPYC 7373X 16-Coreab5 2p a5 2p b20406080100SE +/- 0.13, N = 378.6045.7144.3343.8643.7828.0827.4723.9423.271. (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

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: Fast2 x AMD EPYC 7373X 16-Core5 2p a7373X 2P5 2p b7373xba5 a5 b48121620SE +/- 0.10, N = 314.7914.8114.9415.0415.8016.3716.5516.8517.251. (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_bare7373x5 a7373X 2P2 x AMD EPYC 7373X 16-Coreab5 2p b5 2p a246810SE +/- 0.026, N = 32.9855.0225.1935.2487.2907.2998.2228.2851. (CXX) g++ options: -O3

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 4 - Input: Bosphorus 4K7373x2 x AMD EPYC 7373X 16-Core7373X 2P5 a5 b5 2p ab5 2p ba1.09422.18843.28264.37685.471SE +/- 0.021, N = 33.9934.6444.6764.7434.7604.7844.8264.8424.8631. (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-Only7373x5 a2 x AMD EPYC 7373X 16-Core7373X 2Pab5 2p a5 2p b20406080100SE +/- 0.03, N = 378.7542.5240.6140.4727.6127.6022.5922.51

OpenCV

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

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Object Detection5 2p b7373X 2Pb2 x AMD EPYC 7373X 16-Core5 a20K40K60K80K100K88553321873191031850277391. (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 PSK7373x5 a5 b2 x AMD EPYC 7373X 16-Core7373X 2Pab5 2p b5 2p a60K120K180K240K300KSE +/- 297.59, N = 3708031308481310721362601391272013882029572584572594131. (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: bcrypt7373x5 b5 a2 x AMD EPYC 7373X 16-Core7373X 2Pab5 2p b5 2p a30K60K90K120K150KSE +/- 99.80, N = 3315736015260192623606255186230912761175421185021. (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: Blowfish7373x5 a5 b2 x AMD EPYC 7373X 16-Core7373X 2Pab5 2p b5 2p a30K60K90K120K150KSE +/- 185.66, N = 3316516032560345622446230286460873601177711185791. (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 1.30ba5 a5 2p a5 b5 2p b7373x2 x AMD EPYC 7373X 16-Core7373X 2P6001200180024003000SE +/- 25.52, N = 32692.42746.52756.92760.92820.42850.82854.12894.22907.31. (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 Rating7373x2 x AMD EPYC 7373X 16-Core7373X 2P5 ab5 2p b5 2p a100K200K300K400K500K1282352326232361362442204112134407404539961. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Rating7373x2 x AMD EPYC 7373X 16-Core7373X 2P5 a5 2p bb5 2p a90K180K270K360K450K1558792418032438622719183968443969284037391. (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 Halfspace7373x5 b5 a7373X 2P2 x AMD EPYC 7373X 16-Coreab5 2p a5 2p b1224364860SE +/- 0.20, N = 351.2625.0924.9923.9023.2717.2116.8214.4914.421. (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 Obj7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 a5 b5 2p b5 2p aab1428425670SE +/- 0.03, N = 320.1034.8635.2439.1939.2264.0464.4164.5164.64MIN: 20.01 / MAX: 21.52MIN: 34.63 / MAX: 35.47MIN: 35.01 / MAX: 35.91MIN: 38.97 / MAX: 39.59MIN: 39 / MAX: 39.63MIN: 63.29 / MAX: 64.92MIN: 63.78 / MAX: 65.49MIN: 63.96 / MAX: 66.18MIN: 64.13 / MAX: 65.46

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragon Obj7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 a5 b5 2p a5 2p ba1632486480SE +/- 0.08, N = 323.3638.4338.7843.9644.1968.6968.7070.52MIN: 22.36 / MAX: 24.19MIN: 38.17 / MAX: 39.69MIN: 38.54 / MAX: 39.74MIN: 43.73 / MAX: 44.3MIN: 43.94 / MAX: 44.51MIN: 68.03 / MAX: 70.15MIN: 67.96 / MAX: 69.64MIN: 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 2P5 2p b2 x AMD EPYC 7373X 16-Core5 2p aab7373x5 b5 a714212835SE +/- 0.03, N = 324.2224.2724.3124.4930.0130.1131.2731.8031.841. (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 Synthesisb5 2p b5 2p a5 a7373X 2P7373x2 x AMD EPYC 7373X 16-Core71421283528.1628.1427.8727.8326.5126.5126.471. (CC) gcc options: -O2 -std=c99

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 8 - Input: Bosphorus 4K7373x2 x AMD EPYC 7373X 16-Core7373X 2P5 2p a5 ab5 2p b5 ba1632486480SE +/- 0.56, N = 1249.2058.3658.7062.8465.3467.5569.5470.8673.441. (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 Rate7373x2 x AMD EPYC 7373X 16-Core7373X 2P5 a5 bba5 2p a5 2p b714212835SE +/- 0.247911, N = 158.02433614.48164714.70415317.87450018.64030029.04569029.38349631.34451531.7608761. (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 Model7373x5 b5 a7373X 2P2 x AMD EPYC 7373X 16-Coreab5 2p b5 2p a816243240SE +/- 0.15, N = 335.5119.6319.0918.3318.0313.8613.5311.8011.221. (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 Compile7373x5 b5 a7373X 2P2 x AMD EPYC 7373X 16-Coreba5 2p a5 2p b714212835SE +/- 0.03, N = 329.9820.6420.3819.7019.5617.0416.9315.4615.34

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. Helens7373x5 b5 a2 x AMD EPYC 7373X 16-Core7373X 2Pba5 2p a5 2p b918273645SE +/- 0.038048290, N = 337.79595312919.35555309218.86219907018.40662976917.82039039511.75332146011.6784146169.6094538689.5947693501. (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: CPU5 2p a5 2p bb7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 a369121510.5221010.368506.921456.826255.879515.787984.49565MIN: 8.88MIN: 8.54MIN: 6.32MIN: 5.9MIN: 4.97MIN: 4.87MIN: 3.91. (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 1080p7373x2 x AMD EPYC 7373X 16-Coreba5 2p a7373X 2P5 2p b5 a5 b3691215SE +/- 0.02, N = 310.0210.2010.2310.3010.4110.4310.5010.7610.831. (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 Hydrodynamics2 x AMD EPYC 7373X 16-Core7373X 2P7373x5 2p a5 2p b5 ab71421283530.6728.5918.2615.6715.5112.0911.341. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Crown7373x7373X 2P5 b5 a2 x AMD EPYC 7373X 16-Coreba5 2p b5 2p a1632486480SE +/- 0.11, N = 321.3940.0040.1240.2440.3663.3663.3773.2673.33MIN: 21.25 / MAX: 21.62MIN: 39.56 / MAX: 40.59MIN: 39.64 / MAX: 40.56MIN: 39.64 / MAX: 40.95MIN: 39.78 / MAX: 41.03MIN: 62.44 / MAX: 66.52MIN: 62.18 / MAX: 66.58MIN: 72.13 / MAX: 74.82MIN: 71.99 / MAX: 75.06

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Crown7373x5 a5 b7373X 2P2 x AMD EPYC 7373X 16-Corea5 2p b5 2p a20406080100SE +/- 0.05, N = 323.5943.9543.9844.2244.8869.1181.0981.45MIN: 23.47 / MAX: 23.76MIN: 43.49 / MAX: 44.42MIN: 43.29 / MAX: 44.67MIN: 43.54 / MAX: 44.81MIN: 44.32 / MAX: 45.69MIN: 68.18 / MAX: 71.75MIN: 80.03 / MAX: 82.56MIN: 80.49 / MAX: 83.06

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 Direction7373x5 ab2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b5 2p a61218243025.2219.6317.2113.8013.7210.7610.621. (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 Dragon7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 a5 b5 2p bba5 2p a1632486480SE +/- 0.01, N = 323.5740.1840.5144.9145.1173.7873.8373.8473.96MIN: 23.24 / MAX: 24.98MIN: 39.87 / MAX: 41.09MIN: 40.25 / MAX: 41.33MIN: 44.68 / MAX: 45.26MIN: 44.88 / MAX: 45.48MIN: 72.91 / MAX: 74.82MIN: 73.34 / MAX: 74.66MIN: 73.31 / MAX: 75.9MIN: 73.12 / MAX: 75.27

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragon7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 b5 a5 2p b5 2p aa20406080100SE +/- 0.14, N = 324.9142.7442.8348.5148.5276.6376.8178.48MIN: 24.47 / MAX: 26.52MIN: 42.44 / MAX: 44.03MIN: 42.56 / MAX: 43.84MIN: 48.29 / MAX: 48.79MIN: 48.32 / MAX: 48.91MIN: 75.97 / MAX: 78.17MIN: 76.07 / MAX: 77.73MIN: 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 - Gridding7373x5 a2 x AMD EPYC 7373X 16-Core7373X 2Pb5 2p a5 2p b11K22K33K44K55K15435.024990.129155.129155.136827.549980.151199.11. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - Degridding7373x5 a7373X 2P2 x AMD EPYC 7373X 16-Coreb5 2p a5 2p b9K18K27K36K45K11662.020991.721420.121866.332799.541983.341983.31. (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: CPU5 2p b5 2p a7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 ab0.6491.2981.9472.5963.2452.884512.678012.174962.058181.874461.379961.26107MIN: 1.79MIN: 1.89MIN: 1.61MIN: 1.58MIN: 1.72MIN: 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 OpenMP5 2p b5 2p a2 x AMD EPYC 7373X 16-Core7373X 2P7373xb5 a2004006008001000434.78436.68458.72458.72729.93806.45869.571. (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: sedovbig7373x5 a7373X 2P2 x AMD EPYC 7373X 16-Coreb5 2p b5 2p a61218243023.87947014.00111013.31026013.2864809.5636107.7933257.6563691. (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 2.0.37373x5 ab2 x AMD EPYC 7373X 16-Core7373X 2P5 2p a5 2p b9K18K27K36K45K10188.2520920.4922257.1427032.9027107.1442030.0442551.901. (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 1080p7373x2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b5 2p a5 a5 bba20406080100SE +/- 1.23, N = 592.98100.59101.82104.17107.10107.38108.36109.71109.981. (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: CPUb7373X 2P5 2p b5 2p a2 x AMD EPYC 7373X 16-Core5 a7373x0.28040.56080.84121.12161.4021.2461800.9481430.9172260.9118060.7508530.6259300.609746MIN: 1.13MIN: 0.62MIN: 0.77MIN: 0.78MIN: 0.57MIN: 0.57MIN: 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 - Degridding2 x AMD EPYC 7373X 16-Core7373X 2P7373x5 2p b5 2p ab5 a4K8K12K16K20K13312.813312.814792.015662.116641.019018.319018.31. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - Gridding2 x AMD EPYC 7373X 16-Core5 2p a7373X 2P5 2p b7373x5 ab4K8K12K16K20K11576.312102.512102.512678.913312.817750.420481.21. (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 Facadeba5 2p b5 a5 2p a2 x AMD EPYC 7373X 16-Core7373X 2P7373x13002600390052006500SE +/- 3.21, N = 3583357935729571856825498548554061. (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: leblancbig7373x5 a2 x AMD EPYC 7373X 16-Core7373X 2Pb5 2p b5 2p a4812162014.5090907.9740227.4653737.4197395.1040784.4180124.2947311. (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: Lionba5 2p b5 a5 2p a2 x AMD EPYC 7373X 16-Core7373X 2P7373x10002000300040005000SE +/- 7.02, N = 3488548674818476047344642461445631. (CXX) g++ options: -O3

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 12 - Input: Bosphorus 4K7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p a5 2p bb5 aa5 b50100150200250SE +/- 0.73, N = 3152.19162.78163.33169.11176.11214.93220.81222.84226.731. (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: CPU7373x5 a7373X 2P2 x AMD EPYC 7373X 16-Coreb5 2p a5 2p b0.43520.87041.30561.74082.1761.9341601.1465601.0434801.0345600.8276220.6743360.669349MIN: 1.89MIN: 1.09MIN: 0.98MIN: 0.98MIN: 0.78MIN: 0.62MIN: 0.61. (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 4K7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p a5 2p ba5 bb5 a4080120160200SE +/- 0.70, N = 3147.35159.26166.54169.66172.57195.92196.06198.14199.691. (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 Direction7373x5 a7373X 2Pb2 x AMD EPYC 7373X 16-Core5 2p a5 2p b2468106.864689835.067564014.753952984.438041213.932473902.486542942.483869081. (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: CPU7373xb5 a7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b5 2p a0.85011.70022.55033.40044.25053.778033.124872.762342.733572.700571.898591.85167MIN: 3.69MIN: 2.06MIN: 2.59MIN: 2.6MIN: 2.52MIN: 1.58MIN: 1.611. (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 1080p7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p a5 2p bba5 b5 a140280420560700SE +/- 2.97, N = 3487.08522.16525.64540.73565.06601.98604.84622.73629.301. (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 2P7373x2 x AMD EPYC 7373X 16-Core5 2p a5 2p bba5 b5 a120240360480600SE +/- 5.77, N = 3490.99506.52510.79525.15546.03549.83552.24560.57571.081. (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