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: Live7373x2 x AMD EPYC 7373X 16-Core5 b5 2p bb7373X 2P306090120150114.63111.07110.29107.29106.9899.821. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Upload5 b7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p bb51015202522.9322.8322.3522.2122.1021.621. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Platform7373x7373X 2P2 x AMD EPYC 7373X 16-Coreb5 2p b112233445546.6745.7244.5643.9043.641. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On Demand7373x2 x AMD EPYC 7373X 16-Core7373X 2Pb5 2p b112233445546.6645.6744.3843.9043.771. (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: CPU5 2p bb2 x AMD EPYC 7373X 16-Core7373x4812162015.7612.168.864.741. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPU5 2p bb2 x AMD EPYC 7373X 16-Core7373x369121510.638.056.173.171. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPU5 2p bb2 x AMD EPYC 7373X 16-Core7373x369121510.648.046.103.161. (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: Vehicle Detection FP16 - Device: CPU5 2p bb2 x AMD EPYC 7373X 16-Core7373x300600900120015001623.831205.11786.17400.071. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPU5 2p bb2 x AMD EPYC 7373X 16-Core7373x81624324034.9127.0319.319.711. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPU5 2p bb2 x AMD EPYC 7373X 16-Core7373x50010001500200025002498.741889.051274.04652.031. (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: Weld Porosity Detection FP16 - Device: CPU5 2p bb2 x AMD EPYC 7373X 16-Core7373x300600900120015001592.711198.45892.67454.901. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPU5 2p bb2 x AMD EPYC 7373X 16-Core7373x4080120160200176.76138.8498.3952.661. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPU5 2p bb2 x AMD EPYC 7373X 16-Core7373x80016002400320040003504.152674.291914.22964.191. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPU5 2p bb2 x AMD EPYC 7373X 16-Core7373x50010001500200025002524.051888.201181.75598.401. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU5 2p bb2 x AMD EPYC 7373X 16-Core7373x8K16K24K32K40K38800.3435737.8229028.2514994.761. (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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU5 2p bb2 x AMD EPYC 7373X 16-Core7373x9K18K27K36K45K40352.4838091.4631155.5916278.251. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Crown5 2p b2 x AMD EPYC 7373X 16-Core7373X 2P5 b7373x2040608010081.0944.8844.2243.9823.59MIN: 80.03 / MAX: 82.56MIN: 44.32 / MAX: 45.69MIN: 43.54 / MAX: 44.81MIN: 43.29 / MAX: 44.67MIN: 23.47 / MAX: 23.76

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Crown5 2p bb2 x AMD EPYC 7373X 16-Core5 b7373X 2P7373x163248648073.2663.3640.3640.1240.0021.39MIN: 72.13 / MAX: 74.82MIN: 62.44 / MAX: 66.52MIN: 39.78 / MAX: 41.03MIN: 39.64 / MAX: 40.56MIN: 39.56 / MAX: 40.59MIN: 21.25 / MAX: 21.62

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragon5 2p b5 b2 x AMD EPYC 7373X 16-Core7373X 2P7373x2040608010076.6348.5142.8342.7424.91MIN: 75.97 / MAX: 78.17MIN: 48.29 / MAX: 48.79MIN: 42.56 / MAX: 43.84MIN: 42.44 / MAX: 44.03MIN: 24.47 / MAX: 26.52

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragon Obj5 2p b5 b2 x AMD EPYC 7373X 16-Core7373X 2P7373x153045607568.7044.1938.7838.4323.36MIN: 67.96 / MAX: 69.64MIN: 43.94 / MAX: 44.51MIN: 38.54 / MAX: 39.74MIN: 38.17 / MAX: 39.69MIN: 22.36 / MAX: 24.19

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragonb5 2p b5 b2 x AMD EPYC 7373X 16-Core7373X 2P7373x163248648073.8373.7845.1140.5140.1823.57MIN: 73.34 / MAX: 74.66MIN: 72.91 / MAX: 74.82MIN: 44.88 / MAX: 45.48MIN: 40.25 / MAX: 41.33MIN: 39.87 / MAX: 41.09MIN: 23.24 / MAX: 24.98

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragon Objb5 2p b5 b2 x AMD EPYC 7373X 16-Core7373X 2P7373x142842567064.6464.0439.2235.2434.8620.10MIN: 64.13 / MAX: 65.46MIN: 63.29 / MAX: 64.92MIN: 39 / MAX: 39.63MIN: 35.01 / MAX: 35.91MIN: 34.63 / MAX: 35.47MIN: 20.01 / MAX: 21.52

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 4 - Input: Bosphorus 4K5 2p bb5 b7373X 2P2 x AMD EPYC 7373X 16-Core7373x1.08952.1793.26854.3585.44754.8424.8264.7604.6764.6443.9931. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 8 - Input: Bosphorus 4K5 b5 2p bb7373X 2P2 x AMD EPYC 7373X 16-Core7373x163248648070.8669.5467.5558.7058.3649.201. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 12 - Input: Bosphorus 4K5 bb5 2p b2 x AMD EPYC 7373X 16-Core7373X 2P7373x50100150200250226.73214.93176.11163.33162.78152.191. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 13 - Input: Bosphorus 4Kb5 b5 2p b2 x AMD EPYC 7373X 16-Core7373X 2P7373x4080120160200198.14196.06172.57166.54159.26147.351. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 4 - Input: Bosphorus 1080p5 b5 2p b7373X 2Pb2 x AMD EPYC 7373X 16-Core7373x369121510.8310.5010.4310.2310.2010.021. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 8 - Input: Bosphorus 1080pb5 b5 2p b7373X 2P2 x AMD EPYC 7373X 16-Core7373x20406080100109.71108.36104.17101.82100.5992.981. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 12 - Input: Bosphorus 1080p5 bb5 2p b2 x AMD EPYC 7373X 16-Core7373X 2P7373x130260390520650622.73601.98565.06525.64522.16487.081. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 13 - Input: Bosphorus 1080p5 bb5 2p b2 x AMD EPYC 7373X 16-Core7373x7373X 2P120240360480600560.57549.83546.03510.79506.52490.991. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

VVenC

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 4K - Video Preset: Fast5 bb2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b7373x2468106.3906.1285.8775.7745.7685.7191. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 4K - Video Preset: Faster5 bb7373x2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b369121512.02011.36411.22410.12710.0839.9061. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 1080p - Video Preset: Fast5 bb7373x5 2p b7373X 2P2 x AMD EPYC 7373X 16-Core4812162017.2516.3715.8015.0414.9414.791. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.8Video Input: Bosphorus 1080p - Video Preset: Faster5 b7373xb2 x AMD EPYC 7373X 16-Core5 2p b7373X 2P71421283531.8031.2730.1124.3124.2724.221. (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 Rate5 2p bb5 b7373X 2P2 x AMD EPYC 7373X 16-Core7373x71421283531.76087629.04569018.64030014.70415314.4816478.0243361. (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 ISPCb5 2p b5 b2 x AMD EPYC 7373X 16-Core7373X 2P7373x100200300400500469452339309306213MIN: 84 / MAX: 2565MIN: 99 / MAX: 2013MIN: 54 / MAX: 2307MIN: 54 / MAX: 1845MIN: 54 / MAX: 1694MIN: 29 / MAX: 1843

ASKAP

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

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPb7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b2004006008001000806.45729.93458.72458.72434.781. (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 Speed2 x AMD EPYC 7373X 16-Coreb7373X 2P5 2p b7373x60012001800240030002842.32819.02801.42775.92661.01. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Decompression Speed2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b7373xb300600900120015001384.11362.41309.51281.11277.31. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression Speed2 x AMD EPYC 7373X 16-Core5 2p b7373X 2Pb7373x20040060080010001022.31013.4992.4988.5913.51. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression Speed7373x2 x AMD EPYC 7373X 16-Core7373X 2P5 2p bb300600900120015001523.91523.61518.11441.11390.01. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression Speed7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p bb70140210280350305.1295.0288.9282.8270.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression Speed2 x AMD EPYC 7373X 16-Core7373x7373X 2P5 2p bb300600900120015001563.01557.21552.01498.91445.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression Speed7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p bb51015202519.218.918.618.017.61. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression Speed7373X 2P7373x2 x AMD EPYC 7373X 16-Core5 2p bb300600900120015001394.31389.61375.81312.01276.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Compression Speed7373x2 x AMD EPYC 7373X 16-Core7373X 2Pb5 2p b2004006008001000865.4854.9813.6752.6741.51. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Decompression Speed2 x AMD EPYC 7373X 16-Core7373X 2P7373x5 2p bb300600900120015001415.41414.11413.01336.51300.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression Speedb7373x5 2p b2 x AMD EPYC 7373X 16-Core7373X 2P160320480640800744.5727.0702.2680.9671.61. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Decompression Speed2 x AMD EPYC 7373X 16-Core7373x7373X 2P5 2p bb300600900120015001559.81541.71538.41445.11434.21. (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 Speed7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p bb300600900120015001312.91292.11289.91227.11190.81. (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 - Gridding2 x AMD EPYC 7373X 16-Core7373X 2P7373x5 2p bb2K4K6K8K10K9627.349605.638783.707176.415493.351. (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-Core5 2p b7373xb3K6K9K12K15K12025.7011891.4011068.8010352.608308.331. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - Griddingb7373x5 2p b7373X 2P2 x AMD EPYC 7373X 16-Core4K8K12K16K20K20481.213312.812678.912102.511576.31. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - Degriddingb5 2p b7373x7373X 2P2 x AMD EPYC 7373X 16-Core4K8K12K16K20K19018.315662.114792.013312.813312.81. (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 Ratingb5 2p b7373X 2P2 x AMD EPYC 7373X 16-Core7373x90K180K270K360K450K3969283968442438622418031558791. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Rating5 2p bb7373X 2P2 x AMD EPYC 7373X 16-Core7373x90K180K270K360K450K4407404112132361362326231282351. (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 - Degridding5 2p bb2 x AMD EPYC 7373X 16-Core7373X 2P7373x9K18K27K36K45K41983.332799.521866.321420.111662.01. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - Gridding5 2p bb7373X 2P2 x AMD EPYC 7373X 16-Core7373x11K22K33K44K55K51199.136827.529155.129155.115435.01. (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: BLAS5 2p bb7373x7373X 2P2 x AMD EPYC 7373X 16-Core2K4K6K8K10K799155541955170916761. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: Eigen5 2p bb7373x2 x AMD EPYC 7373X 16-Core7373X 2P2K4K6K8K10K781651421714145013571. (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_bare5 2p bb2 x AMD EPYC 7373X 16-Core7373X 2P7373x2468108.2227.2995.2485.1932.9851. (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 Cache5 2p bb7373X 2P2 x AMD EPYC 7373X 16-Core7373x100200300400500440.56428.51420.94420.29351.01MIN: 40.98 / MAX: 4000MIN: 34.8 / MAX: 5454.55MIN: 24.79 / MAX: 3750MIN: 24.7 / MAX: 5454.55MIN: 13.78 / MAX: 6666.67

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second Run5 2p bb2 x AMD EPYC 7373X 16-Core7373X 2P7373x100200300400500467.46439.07438.36433.56386.60MIN: 40.6 / MAX: 4615.38MIN: 35.82 / MAX: 6000MIN: 25.08 / MAX: 4285.71MIN: 24.58 / MAX: 4285.71MIN: 13.7 / MAX: 6666.67

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third Run5 2p bb7373X 2P2 x AMD EPYC 7373X 16-Core7373x100200300400500448.03437.35436.29429.56384.96MIN: 41.38 / MAX: 2608.7MIN: 35.59 / MAX: 5454.55MIN: 24.91 / MAX: 3750MIN: 25.01 / MAX: 4615.38MIN: 13.8 / MAX: 6666.67

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcrypt5 2p bb7373X 2P2 x AMD EPYC 7373X 16-Core5 b7373x30K60K90K120K150K11754291276625516236060152315731. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSK5 2p bb7373X 2P2 x AMD EPYC 7373X 16-Core5 b7373x60K120K180K240K300K258457202957139127136260131072708031. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: Blowfish5 2p bb7373X 2P2 x AMD EPYC 7373X 16-Core5 b7373x30K60K90K120K150K11777187360623026224460345316511. (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-SHA512b5 b5 2p b7373X 2P2 x AMD EPYC 7373X 16-Core7373x30M60M90M120M150M13516500094924000732600006853000067213000596800001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: MD55 2p bb7373X 2P2 x AMD EPYC 7373X 16-Core5 b7373x1.4M2.8M4.2M5.6M7M6683000554300037390003735000360500019590001. (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 2.0.35 2p b7373X 2P2 x AMD EPYC 7373X 16-Coreb7373x9K18K27K36K45K42551.9027107.1427032.9022257.1410188.251. (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: sedovbig5 2p bb2 x AMD EPYC 7373X 16-Core7373X 2P7373x6121824307.7933259.56361013.28648013.31026023.8794701. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbig5 2p bb7373X 2P2 x AMD EPYC 7373X 16-Core7373x481216204.4180125.1040787.4197397.46537314.5090901. (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: Lion7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p bb10002000300040005000456346144642481848851. (CXX) g++ options: -O3

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: Church Facade7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p bb13002600390052006500540654855498572958331. (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: CPUb7373x2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b0.6491.2981.9472.5963.2451.261071.874462.058182.174962.88451MIN: 1.06MIN: 1.72MIN: 1.58MIN: 1.61MIN: 1.791. (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: CPU7373x2 x AMD EPYC 7373X 16-Core5 2p b7373X 2Pb0.28040.56080.84121.12161.4020.6097460.7508530.9172260.9481431.246180MIN: 0.57MIN: 0.57MIN: 0.77MIN: 0.62MIN: 1.131. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU5 2p bb2 x AMD EPYC 7373X 16-Core7373X 2P7373x0.43520.87041.30561.74082.1760.6693490.8276221.0345601.0434801.934160MIN: 0.6MIN: 0.78MIN: 0.98MIN: 0.98MIN: 1.891. (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: CPU2 x AMD EPYC 7373X 16-Core7373X 2P7373xb5 2p b36912155.787985.879516.826256.9214510.36850MIN: 4.87MIN: 4.97MIN: 5.9MIN: 6.32MIN: 8.541. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU5 2p b2 x AMD EPYC 7373X 16-Core7373X 2Pb7373x0.85011.70022.55033.40044.25051.898592.700572.733573.124873.77803MIN: 1.58MIN: 2.52MIN: 2.6MIN: 2.06MIN: 3.691. (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: CPUb7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b7373x4008001200160020001183.631370.611377.391385.331760.49MIN: 1162.73MIN: 1312.47MIN: 1316MIN: 1314.76MIN: 1746.271. (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: CPUb7373x2 x AMD EPYC 7373X 16-Core5 2p b7373X 2P30060090012001500749.62906.611177.811305.961349.92MIN: 731.75MIN: 898.73MIN: 1030.68MIN: 1060.61MIN: 1150.781. (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: mobilenet7373xb2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b30609012015012.2317.8467.1579.82115.68MIN: 17.55 / MAX: 25.78MIN: 21.26 / MAX: 78.89MIN: 65.63 / MAX: 95.23MIN: 64.45 / MAX: 159.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v27373xb2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b9182736454.9211.3028.8533.1638.67MIN: 4.84 / MAX: 5.41MIN: 9.74 / MAX: 14.96MIN: 18.28 / MAX: 40.64MIN: 24.4 / MAX: 44MIN: 28.02 / MAX: 119.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v37373xb2 x AMD EPYC 7373X 16-Core5 2p b7373X 2P7142128354.5010.2924.1928.8829.52MIN: 4.43 / MAX: 5.26MIN: 9.51 / MAX: 11.93MIN: 19.28 / MAX: 34.5MIN: 23.66 / MAX: 168.43MIN: 25.64 / MAX: 34.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v27373xb7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b9182736455.8615.6031.6531.8837.89MIN: 5.76 / MAX: 6.62MIN: 12.95 / MAX: 19.73MIN: 28.59 / MAX: 37.25MIN: 27.33 / MAX: 35.67MIN: 34.63 / MAX: 113.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnet7373xb2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b11223344554.5211.7137.6238.9849.46MIN: 9.43 / MAX: 20.81MIN: 29.31 / MAX: 44.7MIN: 32.96 / MAX: 44.92MIN: 36.42 / MAX: 176.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b07373xb2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b14284256706.9715.4446.6746.6960.79MIN: 6.9 / MAX: 7.4MIN: 13.63 / MAX: 18.67MIN: 36.84 / MAX: 52.67MIN: 36.92 / MAX: 81.01MIN: 47.67 / MAX: 141.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazeface7373xb2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b6121824302.408.1218.4018.7524.56MIN: 6.94 / MAX: 11.1MIN: 16.72 / MAX: 22.27MIN: 15.74 / MAX: 22.59MIN: 20.64 / MAX: 91.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenet7373xb2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b30609012015011.7619.0927.6345.41112.43MIN: 18.77 / MAX: 25.76MIN: 23.37 / MAX: 37.04MIN: 28.42 / MAX: 186.92MIN: 29.99 / MAX: 148.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg167373xb7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b81624324020.4724.0429.8232.7732.81MIN: 20.22 / MAX: 21.34MIN: 23.49 / MAX: 30.66MIN: 27.79 / MAX: 34.74MIN: 29.33 / MAX: 38.66MIN: 30.06 / MAX: 44.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet187373xb2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b12243648607.0510.8913.6215.1451.80MIN: 6.95 / MAX: 7.65MIN: 10.68 / MAX: 11.74MIN: 13.43 / MAX: 16.6MIN: 13.62 / MAX: 18.75MIN: 16.09 / MAX: 93.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnet7373xb2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b7142128354.767.139.7810.2928.55MIN: 4.68 / MAX: 5.71MIN: 6.97 / MAX: 7.76MIN: 9.12 / MAX: 10.95MIN: 9.46 / MAX: 14.07MIN: 12.6 / MAX: 62.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet507373xb2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b30609012015013.2519.5825.3830.71120.27MIN: 19.15 / MAX: 44.79MIN: 22.8 / MAX: 34.84MIN: 27.2 / MAX: 36.97MIN: 42.99 / MAX: 192.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tiny7373xb2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b102030405018.2323.9231.9833.7445.89MIN: 17.97 / MAX: 23.77MIN: 23.17 / MAX: 30.48MIN: 26.72 / MAX: 48.39MIN: 28.02 / MAX: 43.18MIN: 34.08 / MAX: 64.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssd7373xb2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b81624324012.7119.3222.5823.8935.81MIN: 12.37 / MAX: 13.22MIN: 18.86 / MAX: 22.39MIN: 21.5 / MAX: 36.98MIN: 22.35 / MAX: 46.47MIN: 29.14 / MAX: 58.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400m7373xb7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b30609012015017.6053.5284.8886.22128.35MIN: 17.32 / MAX: 18.74MIN: 50.93 / MAX: 71.06MIN: 80.66 / MAX: 90.33MIN: 82.8 / MAX: 122.51MIN: 111.43 / MAX: 240.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerb7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b306090120150133.39140.06144.55145.33145.49MIN: 129.7 / MAX: 252.77MIN: 137.05 / MAX: 145.39MIN: 140.93 / MAX: 165.57MIN: 142.5 / MAX: 157.84MIN: 141.27 / MAX: 245.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDet7373xb2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b12243648607.3519.0821.3639.4853.25MIN: 7.23 / MAX: 7.88MIN: 13.65 / MAX: 21.7MIN: 19.71 / MAX: 29.28MIN: 21.82 / MAX: 52.04MIN: 30.07 / MAX: 66.771. (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: CPU7373x2 x AMD EPYC 7373X 16-Core5 2p bb60012001800240030001684.861782.062020.212608.34MIN: 1636.65 / MAX: 1721.46MIN: 1650.91 / MAX: 2051.03MIN: 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: CPU7373x2 x AMD EPYC 7373X 16-Core5 2p bb80016002400320040002493.982547.352948.393911.97MIN: 2275.06 / MAX: 2587.16MIN: 1516.1 / MAX: 2961.68MIN: 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: CPU7373x2 x AMD EPYC 7373X 16-Core5 2p bb80016002400320040002496.522595.652952.763927.00MIN: 1381.65 / MAX: 2622.64MIN: 2193.47 / MAX: 2987.27MIN: 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: CPU5 2p b7373x2 x AMD EPYC 7373X 16-Coreb61218243019.6919.9920.3326.54MIN: 11.03 / MAX: 75.83MIN: 12.45 / MAX: 25.77MIN: 14.4 / MAX: 46.38MIN: 14.19 / MAX: 63.191. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPU7373x2 x AMD EPYC 7373X 16-Core5 2p bb30060090012001500821.36826.77912.421175.01MIN: 798.88 / MAX: 834.55MIN: 796.91 / MAX: 888.72MIN: 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: CPU7373x2 x AMD EPYC 7373X 16-Core5 2p bb4812162012.2612.5412.7916.93MIN: 7.79 / MAX: 21.63MIN: 9.03 / MAX: 28.23MIN: 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: CPU7373x2 x AMD EPYC 7373X 16-Core5 2p bb61218243017.5817.9120.0726.68MIN: 15.76 / MAX: 27.27MIN: 9.87 / MAX: 67.23MIN: 13.26 / MAX: 75.83MIN: 15.32 / MAX: 46.541. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPU7373x2 x AMD EPYC 7373X 16-Core5 2p bb50100150200250151.73162.50180.91230.27MIN: 131.11 / MAX: 163.85MIN: 133.61 / MAX: 274.15MIN: 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: CPU7373x2 x AMD EPYC 7373X 16-Core5 2p bb61218243016.5816.7018.2523.92MIN: 12.62 / MAX: 25.96MIN: 9.01 / MAX: 41.25MIN: 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: CPU5 2p b7373x2 x AMD EPYC 7373X 16-Coreb4812162012.6613.3613.5216.93MIN: 8.38 / MAX: 48.88MIN: 8.79 / MAX: 23.44MIN: 10.48 / MAX: 44.97MIN: 13.88 / MAX: 33.111. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU7373x2 x AMD EPYC 7373X 16-Core5 2p bb0.39150.7831.17451.5661.95751.061.091.401.74MIN: 0.62 / MAX: 11.46MIN: 0.64 / MAX: 18.03MIN: 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: CPU7373x2 x AMD EPYC 7373X 16-Core5 2p bb0.36450.7291.09351.4581.82250.971.011.331.62MIN: 0.58 / MAX: 12.03MIN: 0.6 / MAX: 20.54MIN: 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: Coreb2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b50K100K150K200K250K7706185621987382364451. (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 APIb2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b90K180K270K360K450K2358102630673637454197021. (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: Stitchingb7373X 2P2 x AMD EPYC 7373X 16-Core5 2p b60K120K180K240K300K2011602281232329772874921. (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 Detection2 x AMD EPYC 7373X 16-Coreb7373X 2P5 2p b20K40K60K80K100K318503191032187885531. (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 Networkb2 x AMD EPYC 7373X 16-Core7373X 2P5 2p b20K40K60K80K100K397566565782360871331. (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 Time5 b5 2p b2 x AMD EPYC 7373X 16-Core7373X 2Pb7373x61218243022.7123.3424.2724.6725.6026.391. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution Time5 2p bb5 b7373X 2P2 x AMD EPYC 7373X 16-Core7373x2040608010032.9740.2450.7074.5976.0978.751. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh Time5 2p b2 x AMD EPYC 7373X 16-Core7373X 2P5 bb7373x30609012015099.93114.45116.27117.60120.39149.001. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution Time5 2p b7373X 2P2 x AMD EPYC 7373X 16-Coreb5 b7373x130260390520650203.65332.03334.90363.74427.71596.971. (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

SPECFEM3D

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Mount St. Helens5 2p bb7373X 2P2 x AMD EPYC 7373X 16-Core5 b7373x9182736459.59476935011.75332146017.82039039518.40662976919.35555309237.7959531291. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Layered Halfspace5 2p bb2 x AMD EPYC 7373X 16-Core5 b7373X 2P7373x2040608010025.4730.1248.7248.7449.8391.271. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Tomographic Model5 2p bb2 x AMD EPYC 7373X 16-Core7373X 2P5 b7373x81624324011.8013.5318.0318.3319.6335.511. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Homogeneous Halfspace5 2p bb2 x AMD EPYC 7373X 16-Core7373X 2P5 b7373x122436486014.4216.8223.2723.9025.0951.261. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Water-layered Halfspace5 2p bb2 x AMD EPYC 7373X 16-Core7373X 2P5 b7373x2040608010023.2727.4743.7843.8644.3378.601. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Timed FFmpeg Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.0Time To Compile5 2p bb2 x AMD EPYC 7373X 16-Core7373X 2P5 b7373x71421283515.3417.0419.5619.7020.6429.98

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Ninja5 2p bb2 x AMD EPYC 7373X 16-Core7373X 2P5 b7373x80160240320400138.57164.45211.49212.52231.09391.79

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix Makefiles5 2p bb7373X 2P2 x AMD EPYC 7373X 16-Core5 b7373x90180270360450221.79248.48271.83277.06297.22433.97

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: Live7373x2 x AMD EPYC 7373X 16-Core5 b5 2p bb7373X 2P112233445544.0645.4745.7947.0747.2150.591. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Upload5 b7373x7373X 2P2 x AMD EPYC 7373X 16-Core5 2p bb306090120150110.14110.61112.96113.67114.26116.811. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Platform7373x7373X 2P2 x AMD EPYC 7373X 16-Coreb5 2p b4080120160200162.30165.70169.99172.57173.561. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On Demand7373x2 x AMD EPYC 7373X 16-Core7373X 2Pb5 2p b4080120160200162.33165.87170.68172.53173.051. (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-Only5 2p bb7373X 2P2 x AMD EPYC 7373X 16-Core7373x2040608010022.5127.6040.4740.6178.75

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Classroom - Compute: CPU-Only5 2p bb7373X 2P2 x AMD EPYC 7373X 16-Core7373x5010015020025058.5772.02108.06108.30212.97

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Fishy Cat - Compute: CPU-Only5 2p bb2 x AMD EPYC 7373X 16-Core7373X 2P7373x2040608010027.9034.6149.2749.4495.96

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Barbershop - Compute: CPU-Only5 2p bb2 x AMD EPYC 7373X 16-Core7373X 2P7373x170340510680850213.46259.87393.87396.80768.94

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Pabellon Barcelona - Compute: CPU-Only5 2p bb7373X 2P2 x AMD EPYC 7373X 16-Core7373x6012018024030071.7388.73127.50127.96252.02

CloverLeaf

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

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamicsb5 2p b7373x7373X 2P2 x AMD EPYC 7373X 16-Core71421283511.3415.5118.2628.5930.671. (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 Direction5 2p b2 x AMD EPYC 7373X 16-Coreb7373X 2P7373x2468102.483869083.932473904.438041214.753952986.864689831. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Direction5 2p b7373X 2P2 x AMD EPYC 7373X 16-Coreb7373x61218243010.7613.7213.8017.2125.221. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

eSpeak-NG Speech Engine

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

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis2 x AMD EPYC 7373X 16-Core7373x7373X 2P5 2p bb71421283526.4726.5126.5128.1428.161. (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.smt22 x AMD EPYC 7373X 16-Core7373X 2P51015202521.2221.721. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is BetterZ3 Theorem Prover 4.12.1SMT File: 2.smt22 x AMD EPYC 7373X 16-Core7373X 2P163248648070.2970.511. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC

145 Results Shown

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