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 2305084-NE-7773X858085
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  Test
  Duration
b
May 02 2023
  4 Hours, 10 Minutes
5 b
May 04 2023
  59 Minutes
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, 41 Minutes

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7773x ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen Resolutionb5 b5 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

b5 b5 2p b7373x2 x AMD EPYC 7373X 16-Core7373X 2PResult OverviewPhoronix Test Suite100%174%248%322%396%ACES DGEMMSPECFEM3DEmbreeJohn The RipperTimed LLVM CompilationOpenVKLTimed FFmpeg CompilationOpenFOAMSVT-AV1VVenCFFmpegQuantLib

7773x ffmpeg: libx265 - Liveffmpeg: libx265 - Uploadffmpeg: libx265 - Platformffmpeg: libx265 - Video On Demandopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objsvt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080pvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fastervvenc: Bosphorus 1080p - Fastvvenc: Bosphorus 1080p - Fastermt-dgemm: Sustained Floating-Point Rateopenvkl: vklBenchmark ISPCaskap: Hogbom Clean OpenMPcompress-zstd: 3 - Compression Speedcompress-zstd: 3 - Decompression Speedcompress-zstd: 8 - Compression Speedcompress-zstd: 8 - Decompression Speedcompress-zstd: 12 - Compression Speedcompress-zstd: 12 - Decompression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 3, Long Mode - Compression Speedcompress-zstd: 3, Long Mode - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedpetsc: Streamsquantlib: askap: tConvolve MT - Griddingaskap: tConvolve MT - Degriddingaskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddingcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddinglczero: BLASlczero: Eigengromacs: MPI CPU - water_GMX50_bareclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runjohn-the-ripper: bcryptjohn-the-ripper: WPA PSKjohn-the-ripper: Blowfishjohn-the-ripper: HMAC-SHA512john-the-ripper: MD5lulesh: pennant: sedovbigpennant: leblancbigdraco: Liondraco: Church Facadeonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: CPU - vision_transformerncnn: CPU - FastestDetopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopencv: Coreopencv: Graph APIopencv: Stitchingopencv: Object Detectionopencv: DNN - Deep Neural Networkopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timespecfem3d: Mount St. Helensspecfem3d: Layered Halfspacespecfem3d: Tomographic Modelspecfem3d: Homogeneous Halfspacespecfem3d: Water-layered Halfspacebuild-ffmpeg: Time To Compilebuild-llvm: Ninjabuild-llvm: Unix Makefilesffmpeg: libx265 - Liveffmpeg: libx265 - Uploadffmpeg: libx265 - Platformffmpeg: libx265 - Video On Demandblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlycloverleaf: Lagrangian-Eulerian Hydrodynamicsincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionespeak: Text-To-Speech Synthesisz3: 1.smt2z3: 2.smt2b5 b5 2p b7373x2 x AMD EPYC 7373X 16-Core7373X 2P106.9821.6243.9043.9012.168.058.041205.1127.031889.051198.45138.842674.291888.235737.8238091.4663.364773.82864.64094.82667.548214.933198.13510.234109.711601.984549.8346.12811.36416.37430.11429.04569469806.45228191277.3988.51390270.81445.917.61276.8752.61300.8744.51434.29.31190.856185.75042692.45493.358308.3320481.219018.339692841121332799.536827.5555451427.299428.51439.07437.359127620295787360135165000554300022257.1379.563615.104078488558331.261071.246180.8276226.921453.124871183.63749.62217.8411.310.2915.611.7115.448.1219.0924.0410.897.1319.5823.9219.3253.52133.3919.082608.343911.97392726.541175.0116.9326.68230.2723.9216.931.741.6277061235810201160319103975625.59608540.244428120.39337363.735911.7533214630.11589970413.53017939416.81708024627.46754027317.042164.449248.48147.206774889116.80915814172.56956694172.53393950627.672.0234.61259.8788.7311.344.4380412117.211847328.157110.2922.9343.978740.119948.507444.188445.105439.22364.7670.856226.733196.06310.828108.364622.732560.5656.3912.0217.25331.79518.64033392820.4601521310726034594924000360500022.70639950.699752117.6045427.7127619.35555309248.73867645419.63009634225.08962279744.33457433520.64231.091297.22345.79110.14107.2922.1043.6443.7715.7610.6310.641623.8334.912498.741592.71176.763504.152524.0538800.3440352.4881.091373.260276.628768.702273.777964.04414.84269.536176.107172.57310.495104.169565.057546.0345.7689.90615.04424.26831.760876452434.7832775.91309.51013.41441.1282.81498.9181312741.51336.5702.21445.19.51227.174130.17892850.87176.4111068.812678.915662.139684444074041983.351199.1799178168.222440.56467.46448.0311754225845711777173260000668300042551.8987.7933254.418012481857292.884510.9172260.66934910.36851.898591385.331305.96115.6838.6728.8837.8949.4660.7924.56112.4332.8151.828.55120.2745.8935.81128.35145.4953.252020.212948.392952.7619.69912.4212.7920.07180.9118.2512.661.41.33236445419702287492885538713323.33527532.97431699.93268203.651189.5947693525.47219029111.79752558514.41593115823.26803264115.344138.565221.78947.07114.261775562173.56002958173.05225728322.5158.5727.9213.4671.7315.512.4838690810.762441628.137114.6322.8346.6746.664.743.173.16400.079.71652.03454.952.66964.19598.414994.7616278.2523.58921.385124.907323.358723.568420.10453.99349.204152.194147.35410.02392.984487.076506.5175.71911.22415.80131.2748.024336213729.92726611281.1913.51523.9305.11557.219.21389.6865.414137271541.710.11312.92854.18783.710352.613312.8147921558791282351166215435195517142.985351.01386.60384.9631573708033165159680000195900010188.24823.8794714.50909456354061.874460.6097461.934166.826253.778031760.49906.60912.234.924.55.864.526.972.411.7620.477.054.7613.2518.2312.7117.6140.067.351684.862493.982496.5219.99821.3612.2617.58151.7316.5813.361.060.9726.38672778.749334149.00372596.9691637.79595312991.27269241535.50584661951.26461634378.60026454329.979391.792433.97144.06110.605502327162.296027345162.3378.75212.9795.96768.94252.0218.266.8646898325.217460626.507111.0722.2144.5645.678.866.176.1786.1719.311274.04892.6798.391914.221181.7529028.2531155.5944.879740.360442.831238.777940.506235.24084.64458.355163.328166.53910.195100.587525.637510.7875.87710.12714.78724.31414.481647309458.7162842.31384.11022.31523.6288.9156318.61375.8854.91415.4680.91559.810.11289.92894.29627.3411891.411576.313312.824180323262321866.329155.1167614505.248420.29438.36429.56623601362606224467213000373500027032.90313.286487.465373464254982.058180.7508531.034565.787982.700571377.391177.8167.1528.8524.1931.8837.6246.6718.427.6332.7713.629.7825.3831.9822.5886.22145.3321.361782.062547.352595.6520.33826.7712.5417.91162.516.713.521.091.0185621263067232977318506565724.26546776.087652114.44612334.8952418.40662976948.71739420318.03326655723.27373877443.78013547319.56211.489277.06145.467307319113.672822126169.985789453165.87146396640.61108.349.27393.87127.9630.673.932473913.79969626.46721.21870.28699.8222.3545.7244.3844.21639.999242.7438.425640.181234.85664.67658.697162.784159.26110.434101.821522.16490.9865.77410.08314.93624.21614.704153306458.7162801.41362.4992.41518.1295155218.91394.3813.61414.1671.61538.410.11292.12907.39605.6312025.712102.513312.824386223613621420.129155.1170913575.193420.94433.56436.29625511391276230268530000373900027107.14313.310267.419739461454852.174960.9481431.043485.879512.733571370.611349.9279.8233.1629.5231.6538.9846.6918.7545.4129.8215.1410.2930.7133.7423.8984.88144.5539.4898738363745228123321878236024.67239474.593848116.27444332.0343217.82039039549.83188281118.33177041223.89854757243.85974441919.697212.52271.82950.590873871112.961052185165.700132761170.67963610540.47108.0649.44396.8127.528.594.7539529813.71770126.51421.71770.51OpenBenchmarking.org

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 bb30609012015099.82111.07114.63107.29110.29106.981. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Upload7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb51015202522.3522.2122.8322.1022.9321.621. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Platform7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb112233445545.7244.5646.6743.6443.901. (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 bb112233445544.3845.6746.6643.7743.901. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb481216208.864.7415.7612.161. (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: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb36912156.173.1710.638.051. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb36912156.103.1610.648.041. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb30060090012001500786.17400.071623.831205.111. (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: Face Detection FP16-INT8 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb81624324019.319.7134.9127.031. (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: Vehicle Detection FP16-INT8 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb50010001500200025001274.04652.032498.741889.051. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb30060090012001500892.67454.901592.711198.451. (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: Machine Translation EN To DE FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb408012016020098.3952.66176.76138.841. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb80016002400320040001914.22964.193504.152674.291. (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.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb50010001500200025001181.75598.402524.051888.201. (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.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb8K16K24K32K40K29028.2514994.7638800.3435737.821. (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.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb9K18K27K36K45K31155.5916278.2540352.4838091.461. (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

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Crown7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 b2040608010044.2244.8823.5981.0943.98MIN: 43.54 / MAX: 44.81MIN: 44.32 / MAX: 45.69MIN: 23.47 / MAX: 23.76MIN: 80.03 / MAX: 82.56MIN: 43.29 / MAX: 44.67

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Crown7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb163248648040.0040.3621.3973.2640.1263.36MIN: 39.56 / MAX: 40.59MIN: 39.78 / MAX: 41.03MIN: 21.25 / MAX: 21.62MIN: 72.13 / MAX: 74.82MIN: 39.64 / MAX: 40.56MIN: 62.44 / MAX: 66.52

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragon7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 b2040608010042.7442.8324.9176.6348.51MIN: 42.44 / MAX: 44.03MIN: 42.56 / MAX: 43.84MIN: 24.47 / MAX: 26.52MIN: 75.97 / MAX: 78.17MIN: 48.29 / MAX: 48.79

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragon Obj7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 b153045607538.4338.7823.3668.7044.19MIN: 38.17 / MAX: 39.69MIN: 38.54 / MAX: 39.74MIN: 22.36 / MAX: 24.19MIN: 67.96 / MAX: 69.64MIN: 43.94 / MAX: 44.51

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragon7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb163248648040.1840.5123.5773.7845.1173.83MIN: 39.87 / MAX: 41.09MIN: 40.25 / MAX: 41.33MIN: 23.24 / MAX: 24.98MIN: 72.91 / MAX: 74.82MIN: 44.88 / MAX: 45.48MIN: 73.34 / MAX: 74.66

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 bb142842567034.8635.2420.1064.0439.2264.64MIN: 34.63 / MAX: 35.47MIN: 35.01 / MAX: 35.91MIN: 20.01 / MAX: 21.52MIN: 63.29 / MAX: 64.92MIN: 39 / MAX: 39.63MIN: 64.13 / MAX: 65.46

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 bb1.08952.1793.26854.3585.44754.6764.6443.9934.8424.7604.8261. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 8 - Input: Bosphorus 4K7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb163248648058.7058.3649.2069.5470.8667.551. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 12 - Input: Bosphorus 4K7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb50100150200250162.78163.33152.19176.11226.73214.931. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 13 - Input: Bosphorus 4K7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb4080120160200159.26166.54147.35172.57196.06198.141. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 4 - Input: Bosphorus 1080p7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb369121510.4310.2010.0210.5010.8310.231. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 8 - Input: Bosphorus 1080p7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb20406080100101.82100.5992.98104.17108.36109.711. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 12 - Input: Bosphorus 1080p7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb130260390520650522.16525.64487.08565.06622.73601.981. (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 bb120240360480600490.99510.79506.52546.03560.57549.831. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

VVenC

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 4K - Video Preset: Fast7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb2468105.7745.8775.7195.7686.3906.1281. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 4K - Video Preset: Faster7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb369121510.08310.12711.2249.90612.02011.3641. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 1080p - Video Preset: Fast7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb4812162014.9414.7915.8015.0417.2516.371. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 1080p - Video Preset: Faster7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb71421283524.2224.3131.2724.2731.8030.111. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

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 bb71421283514.70415314.4816478.02433631.76087618.64030029.0456901. (CC) gcc options: -O3 -march=native -fopenmp

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 bb100200300400500306309213452339469MIN: 54 / MAX: 1694MIN: 54 / MAX: 1845MIN: 29 / MAX: 1843MIN: 99 / MAX: 2013MIN: 54 / MAX: 2307MIN: 84 / MAX: 2565

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 bb2004006008001000458.72458.72729.93434.78806.451. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Compression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb60012001800240030002801.42842.32661.02775.92819.01. (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 bb300600900120015001362.41384.11281.11309.51277.31. (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 bb2004006008001000992.41022.3913.51013.4988.51. (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 bb300600900120015001518.11523.61523.91441.11390.01. (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 bb70140210280350295.0288.9305.1282.8270.81. (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 bb300600900120015001552.01563.01557.21498.91445.91. (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 bb51015202518.918.619.218.017.61. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb300600900120015001394.31375.81389.61312.01276.81. (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 bb2004006008001000813.6854.9865.4741.5752.61. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Decompression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb300600900120015001414.11415.41413.01336.51300.81. (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-Core7373x5 2p bb160320480640800671.6680.9727.0702.2744.51. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Decompression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb300600900120015001538.41559.81541.71445.11434.21. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb369121510.110.110.19.59.31. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression Speed7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb300600900120015001292.11289.91312.91227.11190.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

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 bb16K32K48K64K80K74130.1856185.751. (CC) gcc options: -fPIC -O3 -O2 -lpthread -ludev -lpciaccess -lm

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 bb60012001800240030002907.32894.22854.12850.82820.42692.41. (CXX) g++ options: -O3 -march=native -fPIE -pie

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 - Gridding7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb2K4K6K8K10K9605.639627.348783.707176.415493.351. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - Degridding7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb3K6K9K12K15K12025.7011891.4010352.6011068.808308.331. (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 bb4K8K12K16K20K12102.511576.313312.812678.920481.21. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - Degridding7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb4K8K12K16K20K13312.813312.814792.015662.119018.31. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

7-Zip Compression

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

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Rating7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb90K180K270K360K450K2438622418031558793968443969281. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Rating7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb90K180K270K360K450K2361362326231282354407404112131. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

ASKAP

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

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - Degridding7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb9K18K27K36K45K21420.121866.311662.041983.332799.51. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - Gridding7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb11K22K33K44K55K29155.129155.115435.051199.136827.51. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

LeelaChessZero

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

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLAS7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb2K4K6K8K10K170916761955799155541. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: Eigen7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb2K4K6K8K10K135714501714781651421. (CXX) g++ options: -flto -pthread

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 bb2468105.1935.2482.9858.2227.2991. (CXX) g++ options: -O3

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold Cache7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb100200300400500420.94420.29351.01440.56428.51MIN: 24.79 / MAX: 3750MIN: 24.7 / MAX: 5454.55MIN: 13.78 / MAX: 6666.67MIN: 40.98 / MAX: 4000MIN: 34.8 / 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 bb100200300400500433.56438.36386.60467.46439.07MIN: 24.58 / MAX: 4285.71MIN: 25.08 / MAX: 4285.71MIN: 13.7 / MAX: 6666.67MIN: 40.6 / MAX: 4615.38MIN: 35.82 / MAX: 6000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third Run7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb100200300400500436.29429.56384.96448.03437.35MIN: 24.91 / MAX: 3750MIN: 25.01 / MAX: 4615.38MIN: 13.8 / MAX: 6666.67MIN: 41.38 / MAX: 2608.7MIN: 35.59 / MAX: 5454.55

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcrypt7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb30K60K90K120K150K62551623603157311754260152912761. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSK7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb60K120K180K240K300K139127136260708032584571310722029571. (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 bb30K60K90K120K150K62302622443165111777160345873601. (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 bb30M60M90M120M150M68530000672130005968000073260000949240001351650001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: MD57373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb1.4M2.8M4.2M5.6M7M3739000373500019590006683000360500055430001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

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 bb9K18K27K36K45K27107.1427032.9010188.2542551.9022257.141. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

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 bb61218243013.31026013.28648023.8794707.7933259.5636101. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbig7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb481216207.4197397.46537314.5090904.4180125.1040781. (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 bb10002000300040005000461446424563481848851. (CXX) g++ options: -O3

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: Church Facade7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb13002600390052006500548554985406572958331. (CXX) g++ options: -O3

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 bb0.6491.2981.9472.5963.2452.174962.058181.874462.884511.26107MIN: 1.61MIN: 1.58MIN: 1.72MIN: 1.79MIN: 1.061. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb0.28040.56080.84121.12161.4020.9481430.7508530.6097460.9172261.246180MIN: 0.62MIN: 0.57MIN: 0.57MIN: 0.77MIN: 1.131. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb0.43520.87041.30561.74082.1761.0434801.0345601.9341600.6693490.827622MIN: 0.98MIN: 0.98MIN: 1.89MIN: 0.6MIN: 0.781. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb36912155.879515.787986.8262510.368506.92145MIN: 4.97MIN: 4.87MIN: 5.9MIN: 8.54MIN: 6.321. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb0.85011.70022.55033.40044.25052.733572.700573.778031.898593.12487MIN: 2.6MIN: 2.52MIN: 3.69MIN: 1.58MIN: 2.061. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb4008001200160020001370.611377.391760.491385.331183.63MIN: 1312.47MIN: 1316MIN: 1746.27MIN: 1314.76MIN: 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 bb300600900120015001349.921177.81906.611305.96749.62MIN: 1150.78MIN: 1030.68MIN: 898.73MIN: 1060.61MIN: 731.751. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

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: mobilenet7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb30609012015079.8267.1512.23115.6817.84MIN: 65.63 / MAX: 95.23MIN: 21.26 / MAX: 78.89MIN: 64.45 / MAX: 159.93MIN: 17.55 / MAX: 25.781. (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 bb91827364533.1628.854.9238.6711.30MIN: 24.4 / MAX: 44MIN: 18.28 / MAX: 40.64MIN: 4.84 / MAX: 5.41MIN: 28.02 / MAX: 119.64MIN: 9.74 / MAX: 14.961. (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 bb71421283529.5224.194.5028.8810.29MIN: 25.64 / MAX: 34.13MIN: 19.28 / MAX: 34.5MIN: 4.43 / MAX: 5.26MIN: 23.66 / MAX: 168.43MIN: 9.51 / MAX: 11.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v27373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb91827364531.6531.885.8637.8915.60MIN: 28.59 / MAX: 37.25MIN: 27.33 / MAX: 35.67MIN: 5.76 / MAX: 6.62MIN: 34.63 / MAX: 113.32MIN: 12.95 / MAX: 19.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnet7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb112233445538.9837.624.5249.4611.71MIN: 32.96 / MAX: 44.92MIN: 29.31 / MAX: 44.7MIN: 36.42 / MAX: 176.46MIN: 9.43 / MAX: 20.811. (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 bb142842567046.6946.676.9760.7915.44MIN: 36.92 / MAX: 81.01MIN: 36.84 / MAX: 52.67MIN: 6.9 / MAX: 7.4MIN: 47.67 / MAX: 141.85MIN: 13.63 / MAX: 18.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazeface7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb61218243018.7518.402.4024.568.12MIN: 15.74 / MAX: 22.59MIN: 16.72 / MAX: 22.27MIN: 20.64 / MAX: 91.2MIN: 6.94 / MAX: 11.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenet7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb30609012015045.4127.6311.76112.4319.09MIN: 28.42 / MAX: 186.92MIN: 23.37 / MAX: 37.04MIN: 29.99 / MAX: 148.59MIN: 18.77 / MAX: 25.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg167373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb81624324029.8232.7720.4732.8124.04MIN: 27.79 / MAX: 34.74MIN: 29.33 / MAX: 38.66MIN: 20.22 / MAX: 21.34MIN: 30.06 / MAX: 44.76MIN: 23.49 / MAX: 30.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet187373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb122436486015.1413.627.0551.8010.89MIN: 13.62 / MAX: 18.75MIN: 13.43 / MAX: 16.6MIN: 6.95 / MAX: 7.65MIN: 16.09 / MAX: 93.56MIN: 10.68 / MAX: 11.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnet7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb71421283510.299.784.7628.557.13MIN: 9.46 / MAX: 14.07MIN: 9.12 / MAX: 10.95MIN: 4.68 / MAX: 5.71MIN: 12.6 / MAX: 62.18MIN: 6.97 / MAX: 7.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet507373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb30609012015030.7125.3813.25120.2719.58MIN: 27.2 / MAX: 36.97MIN: 22.8 / MAX: 34.84MIN: 42.99 / MAX: 192.41MIN: 19.15 / MAX: 44.791. (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 bb102030405033.7431.9818.2345.8923.92MIN: 28.02 / MAX: 43.18MIN: 26.72 / MAX: 48.39MIN: 17.97 / MAX: 23.77MIN: 34.08 / MAX: 64.66MIN: 23.17 / MAX: 30.481. (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 bb81624324023.8922.5812.7135.8119.32MIN: 22.35 / MAX: 46.47MIN: 21.5 / MAX: 36.98MIN: 12.37 / MAX: 13.22MIN: 29.14 / MAX: 58.45MIN: 18.86 / MAX: 22.391. (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 bb30609012015084.8886.2217.60128.3553.52MIN: 80.66 / MAX: 90.33MIN: 82.8 / MAX: 122.51MIN: 17.32 / MAX: 18.74MIN: 111.43 / MAX: 240.27MIN: 50.93 / MAX: 71.061. (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 bb306090120150144.55145.33140.06145.49133.39MIN: 140.93 / MAX: 165.57MIN: 142.5 / MAX: 157.84MIN: 137.05 / MAX: 145.39MIN: 141.27 / MAX: 245.34MIN: 129.7 / MAX: 252.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDet7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb122436486039.4821.367.3553.2519.08MIN: 21.82 / MAX: 52.04MIN: 19.71 / MAX: 29.28MIN: 7.23 / MAX: 7.88MIN: 30.07 / MAX: 66.77MIN: 13.65 / MAX: 21.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb60012001800240030001782.061684.862020.212608.34MIN: 1650.91 / MAX: 2051.03MIN: 1636.65 / MAX: 1721.46MIN: 1823.96 / MAX: 3111.51MIN: 2421.38 / MAX: 2754.891. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb80016002400320040002547.352493.982948.393911.97MIN: 1516.1 / MAX: 2961.68MIN: 2275.06 / MAX: 2587.16MIN: 1547.54 / MAX: 3537.3MIN: 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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb80016002400320040002595.652496.522952.763927.00MIN: 2193.47 / MAX: 2987.27MIN: 1381.65 / MAX: 2622.64MIN: 2193.59 / MAX: 3652.32MIN: 3402.58 / MAX: 4474.471. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb61218243020.3319.9919.6926.54MIN: 14.4 / MAX: 46.38MIN: 12.45 / MAX: 25.77MIN: 11.03 / MAX: 75.83MIN: 14.19 / MAX: 63.191. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb30060090012001500826.77821.36912.421175.01MIN: 796.91 / MAX: 888.72MIN: 798.88 / MAX: 834.55MIN: 878.63 / MAX: 988.74MIN: 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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb4812162012.5412.2612.7916.93MIN: 9.03 / MAX: 28.23MIN: 7.79 / MAX: 21.63MIN: 7.68 / MAX: 43.18MIN: 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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb61218243017.9117.5820.0726.68MIN: 9.87 / MAX: 67.23MIN: 15.76 / MAX: 27.27MIN: 13.26 / MAX: 75.83MIN: 15.32 / MAX: 46.541. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb50100150200250162.50151.73180.91230.27MIN: 133.61 / MAX: 274.15MIN: 131.11 / MAX: 163.85MIN: 124.49 / MAX: 288.01MIN: 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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb61218243016.7016.5818.2523.92MIN: 9.01 / MAX: 41.25MIN: 12.62 / MAX: 25.96MIN: 8.84 / MAX: 40.73MIN: 15.02 / MAX: 35.741. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb4812162013.5213.3612.6616.93MIN: 10.48 / MAX: 44.97MIN: 8.79 / MAX: 23.44MIN: 8.38 / MAX: 48.88MIN: 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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb0.39150.7831.17451.5661.95751.091.061.401.74MIN: 0.64 / MAX: 18.03MIN: 0.62 / MAX: 11.46MIN: 0.68 / MAX: 42.1MIN: 0.84 / MAX: 14.571. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU2 x AMD EPYC 7373X 16-Core7373x5 2p bb0.36450.7291.09351.4581.82251.010.971.331.62MIN: 0.6 / MAX: 20.54MIN: 0.58 / MAX: 12.03MIN: 0.64 / MAX: 26.34MIN: 0.69 / MAX: 13.341. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

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 bb50K100K150K200K250K9873885621236445770611. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Graph API7373X 2P2 x AMD EPYC 7373X 16-Core5 2p bb90K180K270K360K450K3637452630674197022358101. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Stitching7373X 2P2 x AMD EPYC 7373X 16-Core5 2p bb60K120K180K240K300K2281232329772874922011601. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Object Detection7373X 2P2 x AMD EPYC 7373X 16-Core5 2p bb20K40K60K80K100K321873185088553319101. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: DNN - Deep Neural Network7373X 2P2 x AMD EPYC 7373X 16-Core5 2p bb20K40K60K80K100K823606565787133397561. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

OpenFOAM

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh Time7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb61218243024.6724.2726.3923.3422.7125.601. (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 - Execution Time7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb2040608010074.5976.0978.7532.9750.7040.241. (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 bb306090120150116.27114.45149.0099.93117.60120.391. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution Time7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb130260390520650332.03334.90596.97203.65427.71363.741. (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

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 bb91827364517.82039039518.40662976937.7959531299.59476935019.35555309211.7533214601. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Layered Halfspace7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb2040608010049.8348.7291.2725.4748.7430.121. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Tomographic Model7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb81624324018.3318.0335.5111.8019.6313.531. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Homogeneous Halfspace7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb122436486023.9023.2751.2614.4225.0916.821. (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 bb2040608010043.8643.7878.6023.2744.3327.471. (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 bb71421283519.7019.5629.9815.3420.6417.04

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 bb80160240320400212.52211.49391.79138.57231.09164.45

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix Makefiles7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb90180270360450271.83277.06433.97221.79297.22248.48

FFmpeg

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

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Live7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p b5 bb112233445550.5945.4744.0647.0745.7947.211. (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 bb306090120150112.96113.67110.61114.26110.14116.811. (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 bb4080120160200165.70169.99162.30173.56172.571. (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 bb4080120160200170.68165.87162.33173.05172.531. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 bb2040608010040.4740.6178.7522.5127.60

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Classroom - Compute: CPU-Only7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb50100150200250108.06108.30212.9758.5772.02

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Fishy Cat - Compute: CPU-Only7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb2040608010049.4449.2795.9627.9034.61

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Barbershop - Compute: CPU-Only7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb170340510680850396.80393.87768.94213.46259.87

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Pabellon Barcelona - Compute: CPU-Only7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb60120180240300127.50127.96252.0271.7388.73

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 bb71421283528.5930.6718.2615.5111.341. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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 bb2468104.753952983.932473906.864689832.483869084.438041211. (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

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Direction7373X 2P2 x AMD EPYC 7373X 16-Core7373x5 2p bb61218243013.7213.8025.2210.7617.211. (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

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 bb71421283526.5126.4726.5128.1428.161. (CC) gcc options: -O2 -std=c99

Z3 Theorem Prover

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

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

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

145 Results Shown

FFmpeg:
  libx265 - Live
  libx265 - Upload
  libx265 - Platform
  libx265 - Video On Demand
OpenVINO:
  Face Detection FP16 - CPU
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
  Vehicle Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
Embree:
  Pathtracer - Crown
  Pathtracer ISPC - Crown
  Pathtracer - Asian Dragon
  Pathtracer - Asian Dragon Obj
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
SVT-AV1:
  Preset 4 - Bosphorus 4K
  Preset 8 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
  Preset 13 - Bosphorus 4K
  Preset 4 - Bosphorus 1080p
  Preset 8 - Bosphorus 1080p
  Preset 12 - Bosphorus 1080p
  Preset 13 - Bosphorus 1080p
VVenC:
  Bosphorus 4K - Fast
  Bosphorus 4K - Faster
  Bosphorus 1080p - Fast
  Bosphorus 1080p - Faster
ACES DGEMM
OpenVKL
ASKAP
Zstd Compression:
  3 - Compression Speed
  3 - Decompression Speed
  8 - Compression Speed
  8 - Decompression Speed
  12 - Compression Speed
  12 - Decompression Speed
  19 - Compression Speed
  19 - Decompression Speed
  3, Long Mode - Compression Speed
  3, Long Mode - Decompression Speed
  8, Long Mode - Compression Speed
  8, Long Mode - Decompression Speed
  19, Long Mode - Compression Speed
  19, Long Mode - Decompression Speed
PETSc
QuantLib
ASKAP:
  tConvolve MT - Gridding
  tConvolve MT - Degridding
  tConvolve OpenMP - Gridding
  tConvolve OpenMP - Degridding
7-Zip Compression:
  Compression Rating
  Decompression Rating
ASKAP:
  tConvolve MPI - Degridding
  tConvolve MPI - Gridding
LeelaChessZero:
  BLAS
  Eigen
GROMACS
ClickHouse:
  100M Rows Hits Dataset, First Run / Cold Cache
  100M Rows Hits Dataset, Second Run
  100M Rows Hits Dataset, Third Run
John The Ripper:
  bcrypt
  WPA PSK
  Blowfish
  HMAC-SHA512
  MD5
LULESH
Pennant:
  sedovbig
  leblancbig
Google Draco:
  Lion
  Church Facade
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 3D - f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
  CPU - vision_transformer
  CPU - FastestDet
OpenVINO:
  Face Detection FP16 - CPU
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
  Vehicle Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
OpenCV:
  Core
  Graph API
  Stitching
  Object Detection
  DNN - Deep Neural Network
OpenFOAM:
  drivaerFastback, Small Mesh Size - Mesh Time
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Mesh Time
  drivaerFastback, Medium Mesh Size - Execution Time
SPECFEM3D:
  Mount St. Helens
  Layered Halfspace
  Tomographic Model
  Homogeneous Halfspace
  Water-layered Halfspace
Timed FFmpeg Compilation
Timed LLVM Compilation:
  Ninja
  Unix Makefiles
FFmpeg:
  libx265 - Live
  libx265 - Upload
  libx265 - Platform
  libx265 - Video On Demand
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
  Pabellon Barcelona - CPU-Only
CloverLeaf
Xcompact3d Incompact3d:
  input.i3d 129 Cells Per Direction
  input.i3d 193 Cells Per Direction
eSpeak-NG Speech Engine
Z3 Theorem Prover:
  1.smt2
  2.smt2