GCE c3d-standard-60

amazon testing on Ubuntu 22.04 via the Phoronix Test Suite.

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c3d-standard-60 AMD Genoa
October 03 2023
  10 Hours, 30 Minutes
t2d-standard-60 AMD Milan
October 03 2023
  13 Hours, 23 Minutes
c6g.16xlarge
October 05 2023
  9 Hours, 27 Minutes
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  11 Hours, 7 Minutes

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GCE c3d-standard-60ProcessorMotherboardChipsetMemoryDiskNetworkOSKernelVulkanCompilerFile-SystemSystem Layerc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargeAMD EPYC 9B14 (30 Cores / 60 Threads)Google Compute Engine c3d-standard-60Intel 440FX 82441FX PMC240GB215GB nvme_card-pdGoogle Compute Engine VirtualUbuntu 22.046.2.0-1014-gcp (x86_64)1.3.238GCC 11.4.0ext4KVMAMD EPYC 7B13 (60 Cores)Google Compute Engine t2d-standard-60215GB PersistentDiskRed Hat Virtio deviceARMv8 Neoverse-N1 (64 Cores)Amazon EC2 c6g.16xlarge (1.0 BIOS)Amazon Device 0200128GB215GB Amazon Elastic Block StoreAmazon Elastic5.19.0-1025-aws (aarch64)amazonOpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- c3d-standard-60 AMD Genoa: --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-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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 - t2d-standard-60 AMD Milan: --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-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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 - c6g.16xlarge: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v Processor Details- c3d-standard-60 AMD Genoa, t2d-standard-60 AMD Milan: CPU Microcode: 0xffffffffJava Details- OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Details- Python 3.10.12Security Details- c3d-standard-60 AMD Genoa: gather_data_sampling: Not affected + 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 + 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 PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - t2d-standard-60 AMD Milan: gather_data_sampling: Not affected + 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 + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - c6g.16xlarge: 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 + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of CSV2 BHB + srbds: Not affected + tsx_async_abort: Not affected

c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargeLogarithmic Result OverviewPhoronix Test SuiteNAS Parallel BenchmarksnekRSOpenSSLlibavif avifencRemhosOpenVINOGROMACSRodiniaTimed Node.js CompilationLAMMPS Molecular Dynamics SimulatorStockfishCoremarkTimed Gem5 CompilationLaghosApache CassandralibxsmmHeFFTe - Highly Efficient FFT for ExascalenginxAlgebraic Multi-Grid Benchmark7-Zip CompressionXcompact3d Incompact3d

GCE c3d-standard-60openssl: SHA256openssl: SHA512openssl: ChaCha20openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20-Poly1305amg: nekrs: Kershawnekrs: TurboPipe Periodicopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUheffte: c2c - FFTW - float - 128heffte: r2c - FFTW - float - 128heffte: c2c - FFTW - double - 128heffte: r2c - FFTW - double - 128libxsmm: 32libxsmm: 64tensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - ResNet-50coremark: CoreMark Size 666 - Iterations Per Secondlaghos: Triple Point Problemlaghos: Sedov Blast Wave, ube_922_hex.meshcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingstockfish: Total Timegromacs: MPI CPU - water_GMX50_barelammps: 20k Atomslammps: Rhodopsin Proteincassandra: Writesapache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 800 - 400nginx: 500nginx: 1000openssl: RSA4096npb: BT.Cnpb: CG.Cnpb: EP.Dnpb: FT.Cnpb: IS.Dnpb: LU.Cnpb: MG.Cnpb: SP.Cpgbench: 100 - 800 - Read Onlypgbench: 100 - 1000 - Read Onlypgbench: 100 - 800 - Read Writepgbench: 100 - 1000 - Read Writeopenssl: RSA4096brl-cad: VGR Performance Metricapache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 800 - 400openvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUpgbench: 100 - 800 - Read Only - Average Latencypgbench: 100 - 1000 - Read Only - Average Latencypgbench: 100 - 800 - Read Write - Average Latencypgbench: 100 - 1000 - Read Write - Average Latencyrodinia: OpenMP LavaMDrodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusterincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionopenradioss: Bumper Beamopenradioss: Chrysler Neon 1Mopenradioss: Cell Phone Drop Testopenradioss: Bird Strike on Windshieldopenradioss: Rubber O-Ring Seal Installationremhos: Sample Remap Exampleavifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessbuild-gem5: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-nodejs: Time To Compileblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge46211821313147022705731739809498933430952844402933280484971239093047739628898334289858333472394000018.39142.75142.901389.6935.194166.39576.942043.051875.286605.12645.74185.293650.571764.21964.4643607.04761.1454971.2688.6301148.57557.311693.6005255.4489.750.9962.7469.681445843.521552209.00259.552717952262111058944574.39119.77617.42322864033268158347625653433223735359884187350.44180537.8420079.596257.4819597.863783.6039647.472422.4073563.1342701.8339919.71493077.6510819418.59623.89447.68682.12648.8183.9983.918.62340.292.8720.775.8615.984.5318.5664.708.206.7931.080.5239.380.464.86284.16645.49810.0256.4485.8715788528.019687792.87337.7038.82147.3189.6533.36278.06841.5383.2506.889176.767198.39450884997103222448041831802491457702346040826102160259676401196477203379204277673681935833273062000010.7373.7478.96368.3926.281285.47225.481512.571014.704239.52565.3496.582646.58633.76370.0329668.12390.7244049.15109.676196.94860.0343106.029289.2554.218.2920.3620.901730658.449440222.30364.642789732472551129587885.28926.73427.82818716933466804349258993412381035068557162957.75155609.0412973.0122720.6116649.374935.6854846.181752.6294247.7747291.9643228.112003784200818656825793860844.6629363415.08633.58433.96709.461393.56208.47193.4540.67568.7711.6566.469.9014.763.5226.50155.1411.3223.6481.000.9976.720.610.3990.498140.916172.71750.97488.53542.0107.3686.4235.6305732724.572118175.68327.8830.12123.6172.0616.32678.35041.9893.2057.639170.93033.399333.351191.70634.2789.3545.22351.58112.64422885139731438491786367324778360158788510970129198197600467151264871032893667175886000022217100000.11.061.066.530.0420.792.610.148.390.460.151.365.507.362.53178.822.36136.16129.172202.44532.357579.0156312.7589.51259870.716902179.52321.29239735234046818077062.76625.05926.041217355162553.85158700.362640.024229.1413343.352213.7621386.37915.8018807.7525661.049716.99104326797503147844776215683.29996.56947.59947.86153.1222391.8648.08382.476990.10119.172186.816773.31735.58181.94135.87394.945.58423.957.330.7671.026168.191210.60862.3015.98314.2125.6181168625.874832820.816270.068167.9464.4678.879224.414102.216409.097286.201OpenBenchmarking.org

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256c6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan11000M22000M33000M44000M55000MSE +/- 192235444.29, N = 3SE +/- 9562123.40, N = 3SE +/- 20491615.60, N = 3422885139734621182131350884997103-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512c6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan5000M10000M15000M20000M25000MSE +/- 6214593.12, N = 3SE +/- 4399663.13, N = 3SE +/- 108274834.92, N = 3143849178631470227057322244804183-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20c6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan40000M80000M120000M160000M200000MSE +/- 372419.81, N = 3SE +/- 12326205.97, N = 3SE +/- 47698640.87, N = 367324778360173980949893180249145770-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa70000M140000M210000M280000M350000MSE +/- 5537993.15, N = 3SE +/- 376720190.05, N = 3SE +/- 342949201.09, N = 3158788510970234604082610343095284440-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa60000M120000M180000M240000M300000MSE +/- 2100313.05, N = 3SE +/- 178290221.71, N = 3SE +/- 71241287.97, N = 3129198197600216025967640293328048497-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305c6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa30000M60000M90000M120000M150000MSE +/- 2259404.37, N = 3SE +/- 198663058.81, N = 3SE +/- 3664727.47, N = 346715126487119647720337123909304773-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge200M400M600M800M1000MSE +/- 1088162.98, N = 3SE +/- 2060519.90, N = 3SE +/- 176147.98, N = 392042776796288983310328936671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

nekRS

nekRS is an open-source Navier Stokes solver based on the spectral element method. NekRS supports both CPU and GPU/accelerator support though this test profile is currently configured for CPU execution. NekRS is part of Nek5000 of the Mathematics and Computer Science MCS at Argonne National Laboratory. This nekRS benchmark is primarily relevant to large core count HPC servers and otherwise may be very time consuming on smaller systems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: Kershawc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa900M1800M2700M3600M4500MSE +/- 2970005.61, N = 3SE +/- 84802173.02, N = 12SE +/- 57202190.49, N = 121758860000368193583342898583331. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: TurboPipe Periodicc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa1000M2000M3000M4000M5000MSE +/- 1790009.31, N = 3SE +/- 481352.26, N = 3SE +/- 201939132.13, N = 122221710000273062000047239400001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa510152025SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 30.1010.7318.39-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa306090120150SE +/- 0.00, N = 3SE +/- 3.12, N = 15SE +/- 0.23, N = 31.0673.74142.75-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa306090120150SE +/- 0.00, N = 3SE +/- 2.74, N = 15SE +/- 0.48, N = 31.0678.96142.90-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa30060090012001500SE +/- 0.01, N = 3SE +/- 1.55, N = 3SE +/- 6.33, N = 36.53368.391389.69-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa816243240SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 30.0426.2835.19-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa9001800270036004500SE +/- 0.01, N = 3SE +/- 15.96, N = 3SE +/- 8.74, N = 320.791285.474166.39-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa120240360480600SE +/- 0.00, N = 3SE +/- 0.93, N = 3SE +/- 1.04, N = 32.61225.48576.94-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa400800120016002000SE +/- 0.00, N = 15SE +/- 1.12, N = 3SE +/- 3.16, N = 30.141512.572043.05-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa400800120016002000SE +/- 0.01, N = 3SE +/- 0.56, N = 3SE +/- 0.47, N = 38.391014.701875.28-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa14002800420056007000SE +/- 0.01, N = 3SE +/- 2.08, N = 3SE +/- 6.52, N = 30.464239.526605.12-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa140280420560700SE +/- 0.00, N = 3SE +/- 0.37, N = 3SE +/- 0.79, N = 30.15565.34645.74-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa4080120160200SE +/- 0.00, N = 3SE +/- 0.37, N = 3SE +/- 0.25, N = 31.3696.58185.29-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa8001600240032004000SE +/- 0.01, N = 3SE +/- 3.26, N = 3SE +/- 3.28, N = 35.502646.583650.57-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa400800120016002000SE +/- 0.01, N = 3SE +/- 3.66, N = 3SE +/- 4.38, N = 37.36633.761764.21-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa2004006008001000SE +/- 0.02, N = 3SE +/- 0.96, N = 3SE +/- 0.60, N = 32.53370.03964.46-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa9K18K27K36K45KSE +/- 0.39, N = 3SE +/- 14.46, N = 3SE +/- 18.42, N = 3178.8229668.1243607.04-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa160320480640800SE +/- 0.00, N = 3SE +/- 1.37, N = 3SE +/- 1.75, N = 32.36390.72761.14-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa12K24K36K48K60KSE +/- 0.48, N = 3SE +/- 332.93, N = 3SE +/- 45.46, N = 3136.1644049.1554971.26-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge306090120150SE +/- 0.52, N = 3SE +/- 0.78, N = 3SE +/- 0.11, N = 388.63109.68129.171. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge4080120160200SE +/- 2.19, N = 12SE +/- 0.82, N = 3SE +/- 0.57, N = 3148.58196.95202.451. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128c6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan1326395265SE +/- 0.10, N = 3SE +/- 1.29, N = 15SE +/- 0.66, N = 332.3657.3160.031. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128c6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan20406080100SE +/- 0.71, N = 3SE +/- 1.78, N = 12SE +/- 0.91, N = 379.0293.60106.031. (CXX) g++ options: -O3

libxsmm

Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 32c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge70140210280350SE +/- 0.19, N = 3SE +/- 3.60, N = 4SE +/- 0.47, N = 3255.4289.2312.7-lquadmath -msse4.2-lquadmath -msse4.2-march=armv8.1-a1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge130260390520650SE +/- 0.12, N = 3SE +/- 0.25, N = 3SE +/- 0.96, N = 3489.7554.2589.5-lquadmath -msse4.2-lquadmath -msse4.2-march=armv8.1-a1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa1224364860SE +/- 0.05, N = 3SE +/- 0.04, N = 318.2950.99

Device: CPU - Batch Size: 16 - Model: ResNet-50

c6g.16xlarge: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'absl'

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa1428425670SE +/- 0.06, N = 3SE +/- 0.10, N = 320.3662.74

Device: CPU - Batch Size: 32 - Model: ResNet-50

c6g.16xlarge: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'absl'

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa1632486480SE +/- 0.03, N = 3SE +/- 0.07, N = 320.9069.68

Device: CPU - Batch Size: 64 - Model: ResNet-50

c6g.16xlarge: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'absl'

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Secondc6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan400K800K1200K1600K2000KSE +/- 635.29, N = 3SE +/- 1295.68, N = 3SE +/- 9191.61, N = 31259870.721445843.521730658.451. (CC) gcc options: -O2 -lrt" -lrt

Laghos

Laghos (LAGrangian High-Order Solver) is a miniapp that solves the time-dependent Euler equations of compressible gas dynamics in a moving Lagrangian frame using unstructured high-order finite element spatial discretization and explicit high-order time-stepping. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Triple Point Problemc6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan50100150200250SE +/- 0.50, N = 3SE +/- 0.22, N = 3SE +/- 1.77, N = 3179.52209.00222.301. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Sedov Blast Wave, ube_922_hex.meshc3d-standard-60 AMD Genoac6g.16xlarget2d-standard-60 AMD Milan80160240320400SE +/- 0.31, N = 3SE +/- 0.79, N = 3SE +/- 0.62, N = 3259.55321.29364.641. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

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 Ratingc6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan60K120K180K240K300KSE +/- 359.95, N = 3SE +/- 346.51, N = 3SE +/- 388.74, N = 32397352717952789731. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Ratingc3d-standard-60 AMD Genoac6g.16xlarget2d-standard-60 AMD Milan50K100K150K200K250KSE +/- 519.21, N = 3SE +/- 57.33, N = 3SE +/- 347.74, N = 32262112340462472551. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total Timec6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan20M40M60M80M100MSE +/- 1645401.81, N = 15SE +/- 1450871.09, N = 3SE +/- 1618403.29, N = 1481807706105894457112958788-m64 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2-m64 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi21. (CXX) g++ options: -lgcov -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -flto -flto=jobserver

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_barec6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan1.192.383.574.765.95SE +/- 0.001, N = 3SE +/- 0.011, N = 3SE +/- 0.005, N = 32.7664.3915.2891. (CXX) g++ options: -O3

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k Atomsc3d-standard-60 AMD Genoac6g.16xlarget2d-standard-60 AMD Milan612182430SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 319.7825.0626.73-lm-lm1. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin Proteinc3d-standard-60 AMD Genoac6g.16xlarget2d-standard-60 AMD Milan714212835SE +/- 0.54, N = 12SE +/- 0.04, N = 3SE +/- 0.17, N = 317.4226.0427.83-lm-lm1. (CXX) g++ options: -O3 -ldl

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: Writest2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoa50K100K150K200K250KSE +/- 681.76, N = 3SE +/- 3249.94, N = 12SE +/- 1129.40, N = 3187169217355228640

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan7M14M21M28M35MSE +/- 154587.14, N = 3SE +/- 303573.79, N = 33326815833466804

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400

c6g.16xlarge: The test quit with a non-zero exit status.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan7M14M21M28M35MSE +/- 188621.29, N = 3SE +/- 221111.93, N = 33476256534925899

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400

c6g.16xlarge: The test quit with a non-zero exit status.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa7M14M21M28M35MSE +/- 130588.20, N = 3SE +/- 66565.66, N = 33412381034332237

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400

c6g.16xlarge: The test quit with a non-zero exit status.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa8M16M24M32M40MSE +/- 354923.23, N = 3SE +/- 267152.12, N = 33506855735359884

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400

c6g.16xlarge: The test quit with a non-zero exit status.

nginx

This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500c6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa40K80K120K160K200KSE +/- 249.05, N = 3SE +/- 394.72, N = 3SE +/- 126.15, N = 3162553.85162957.75187350.441. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000t2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoa40K80K120K160K200KSE +/- 156.32, N = 3SE +/- 132.24, N = 3SE +/- 688.79, N = 3155609.04158700.36180537.841. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096c6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa4K8K12K16K20KSE +/- 0.09, N = 3SE +/- 11.58, N = 3SE +/- 14.62, N = 32640.012973.020079.5-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.Cc6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan30K60K90K120K150KSE +/- 7.69, N = 3SE +/- 122.23, N = 3SE +/- 42.77, N = 324229.1496257.48122720.611. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.Cc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa4K8K12K16K20KSE +/- 23.52, N = 3SE +/- 1215.82, N = 15SE +/- 77.92, N = 313343.3516649.3719597.861. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.Dc6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan11002200330044005500SE +/- 7.28, N = 3SE +/- 30.67, N = 3SE +/- 51.21, N = 52213.763783.604935.681. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.Cc6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan12K24K36K48K60KSE +/- 2.85, N = 3SE +/- 600.19, N = 15SE +/- 137.77, N = 321386.3739647.4754846.181. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.Dc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa5001000150020002500SE +/- 0.58, N = 3SE +/- 142.62, N = 12SE +/- 36.45, N = 15915.801752.622422.401. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.Cc6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan20K40K60K80K100KSE +/- 7.52, N = 3SE +/- 293.57, N = 3SE +/- 1463.52, N = 1518807.7573563.1394247.771. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.Cc6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan10K20K30K40K50KSE +/- 10.99, N = 3SE +/- 29.69, N = 3SE +/- 145.06, N = 325661.0442701.8347291.961. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.Cc6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan9K18K27K36K45KSE +/- 0.76, N = 3SE +/- 45.01, N = 3SE +/- 555.92, N = 39716.9939919.7143228.111. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

PostgreSQL

This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Onlyc6g.16xlarget2d-standard-60 AMD Milan400K800K1200K1600K2000KSE +/- 12058.27, N = 3SE +/- 20558.90, N = 3104326720037841. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

Scaling Factor: 100 - Clients: 800 - Mode: Read Only

c3d-standard-60 AMD Genoa: The test run did not produce a result. E: ./pgbench: 21: pg_/bin/pgbench: not found

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Onlyc6g.16xlarget2d-standard-60 AMD Milan400K800K1200K1600K2000KSE +/- 12606.16, N = 3SE +/- 22497.42, N = 397503120081861. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

Scaling Factor: 100 - Clients: 1000 - Mode: Read Only

c3d-standard-60 AMD Genoa: The test run did not produce a result. E: ./pgbench: 21: pg_/bin/pgbench: not found

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Writec6g.16xlarget2d-standard-60 AMD Milan12002400360048006000SE +/- 109.40, N = 12SE +/- 49.28, N = 12478456821. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

Scaling Factor: 100 - Clients: 800 - Mode: Read Write

c3d-standard-60 AMD Genoa: The test run did not produce a result. E: ./pgbench: 21: pg_/bin/pgbench: not found

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Writec6g.16xlarget2d-standard-60 AMD Milan12002400360048006000SE +/- 124.50, N = 9SE +/- 49.93, N = 8477657931. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

Scaling Factor: 100 - Clients: 1000 - Mode: Read Write

c3d-standard-60 AMD Genoa: The test run did not produce a result. E: ./pgbench: 21: pg_/bin/pgbench: not found

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096c6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan200K400K600K800K1000KSE +/- 6.55, N = 3SE +/- 50.91, N = 3SE +/- 644.45, N = 3215683.2493077.6860844.6-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

BRL-CAD

BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.36VGR Performance Metricc3d-standard-60 AMD Genoat2d-standard-60 AMD Milan130K260K390K520K650K5108196293631. (CXX) g++ options: -std=c++14 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lregex_brl -lz_brl -lnetpbm -ldl -lm -ltk8.6

VGR Performance Metric

c6g.16xlarge: The test quit with a non-zero exit status. E: ERROR: Could not find the BRL-CAD raytracer

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan90180270360450SE +/- 2.14, N = 3SE +/- 4.08, N = 3418.59415.08MAX: 31920.67MAX: 28810.4

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400

c6g.16xlarge: The test quit with a non-zero exit status.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa140280420560700SE +/- 12.58, N = 3SE +/- 3.18, N = 3633.58623.89MAX: 54749.7MAX: 41831.2

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400

c6g.16xlarge: The test quit with a non-zero exit status.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan100200300400500SE +/- 27.08, N = 3SE +/- 35.57, N = 3447.68433.96MAX: 95136.87MAX: 103381.73

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400

c6g.16xlarge: The test quit with a non-zero exit status.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa150300450600750SE +/- 25.87, N = 3SE +/- 7.53, N = 3709.46682.12MAX: 113264.06MAX: 98294.84

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400

c6g.16xlarge: The test quit with a non-zero exit status.

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa2K4K6K8K10KSE +/- 1.02, N = 3SE +/- 1.32, N = 3SE +/- 0.17, N = 39996.561393.56648.81-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 9993.58 / MAX: 10001.761. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa2004006008001000SE +/- 0.37, N = 3SE +/- 9.17, N = 15SE +/- 0.13, N = 3947.59208.4783.99-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 943.57 / MAX: 951.68-pie - MIN: 119.65 / MAX: 316.011. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa2004006008001000SE +/- 0.55, N = 3SE +/- 7.79, N = 15SE +/- 0.29, N = 3947.86193.4583.91-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 944.57 / MAX: 958.26-pie - MIN: 113.44 / MAX: 315.541. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa306090120150SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3153.1240.678.62-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 152.69 / MAX: 153.75-pie - MIN: 12.07 / MAX: 59.441. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa5K10K15K20K25KSE +/- 15.60, N = 3SE +/- 0.35, N = 3SE +/- 0.21, N = 322391.86568.77340.29-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 22364.17 / MAX: 22423.421. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa1122334455SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.01, N = 348.0811.652.87-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 47.55 / MAX: 50.49-pie - MIN: 3.76 / MAX: 29.11. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa80160240320400SE +/- 0.20, N = 3SE +/- 0.27, N = 3SE +/- 0.04, N = 3382.4766.4620.77-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 381.67 / MAX: 383.43-pie - MIN: 25.85 / MAX: 122.21. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa15003000450060007500SE +/- 27.09, N = 15SE +/- 0.01, N = 3SE +/- 0.01, N = 36990.109.905.86-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6842.82 / MAX: 7088.531. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUc6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan306090120150SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3119.1715.9814.76-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 118.73 / MAX: 120.211. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUc6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan5001000150020002500SE +/- 27.29, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 32186.814.533.52-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 2135.06 / MAX: 2233.341. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa15003000450060007500SE +/- 76.95, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 36773.3126.5018.56-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6616.83 / MAX: 6859.991. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa160320480640800SE +/- 0.26, N = 3SE +/- 0.58, N = 3SE +/- 0.09, N = 3735.58155.1464.70-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 734.34 / MAX: 738.23-pie - MIN: 114.75 / MAX: 224.641. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa4080120160200SE +/- 0.24, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3181.9411.328.20-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 180.71 / MAX: 184.111. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa306090120150SE +/- 0.21, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3135.8723.646.79-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 132.35 / MAX: 148.64-pie - MIN: 9.57 / MAX: 42.221. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa90180270360450SE +/- 2.18, N = 3SE +/- 0.21, N = 3SE +/- 0.02, N = 3394.9481.0031.08-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 380.82 / MAX: 408.15-pie - MIN: 64.65 / MAX: 134.641. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa1.25552.5113.76655.0226.2775SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.580.990.52-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 5.45 / MAX: 6.48-pie - MIN: 0.8 / MAX: 13.761. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa90180270360450SE +/- 0.26, N = 3SE +/- 0.27, N = 3SE +/- 0.09, N = 3423.9576.7239.38-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 411.17 / MAX: 440.57-pie - MIN: 58.8 / MAX: 121.691. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa246810SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 37.330.610.40-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6.54 / MAX: 9.951. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

PostgreSQL

This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latencyc6g.16xlarget2d-standard-60 AMD Milan0.17260.34520.51780.69040.863SE +/- 0.009, N = 3SE +/- 0.004, N = 30.7670.3991. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latencyc6g.16xlarget2d-standard-60 AMD Milan0.23090.46180.69270.92361.1545SE +/- 0.013, N = 3SE +/- 0.006, N = 31.0260.4981. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latencyc6g.16xlarget2d-standard-60 AMD Milan4080120160200SE +/- 3.85, N = 12SE +/- 1.23, N = 12168.19140.921. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latencyc6g.16xlarget2d-standard-60 AMD Milan50100150200250SE +/- 6.00, N = 9SE +/- 1.44, N = 8210.61172.721. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDc3d-standard-60 AMD Genoac6g.16xlarget2d-standard-60 AMD Milan1428425670SE +/- 0.18, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 364.8662.3050.971. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3Dt2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa20406080100SE +/- 1.83, N = 12SE +/- 0.86, N = 1588.5484.171. (CXX) g++ options: -O2 -lOpenCL

Test: OpenMP HotSpot3D

c6g.16xlarge: The test quit with a non-zero exit status.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocytec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan1020304050SE +/- 0.17, N = 3SE +/- 0.02, N = 345.5042.011. (CXX) g++ options: -O2 -lOpenCL

Test: OpenMP Leukocyte

c6g.16xlarge: The test quit with a non-zero exit status.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solverc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge3691215SE +/- 0.013, N = 3SE +/- 0.034, N = 3SE +/- 0.001, N = 310.0257.3685.9831. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamclusterc6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan48121620SE +/- 0.017, N = 3SE +/- 0.104, N = 15SE +/- 0.009, N = 314.2126.4486.4231. (CXX) g++ options: -O2 -lOpenCL

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 Directionc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge1.32112.64223.96335.28446.6055SE +/- 0.04970425, N = 3SE +/- 0.02210564, N = 3SE +/- 0.01888616, N = 35.871578855.630573275.618116861. (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 Directionc3d-standard-60 AMD Genoac6g.16xlarget2d-standard-60 AMD Milan714212835SE +/- 0.25, N = 3SE +/- 0.01, N = 3SE +/- 0.31, N = 1228.0225.8724.571. (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

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bumper Beamc3d-standard-60 AMD Genoat2d-standard-60 AMD Milan20406080100SE +/- 1.56, N = 15SE +/- 0.10, N = 392.8775.68

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1Mc3d-standard-60 AMD Genoat2d-standard-60 AMD Milan70140210280350SE +/- 2.03, N = 3SE +/- 1.48, N = 3337.70327.88

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop Testc3d-standard-60 AMD Genoat2d-standard-60 AMD Milan918273645SE +/- 1.27, N = 15SE +/- 0.39, N = 1538.8230.12

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bird Strike on Windshieldc3d-standard-60 AMD Genoat2d-standard-60 AMD Milan306090120150SE +/- 3.26, N = 9SE +/- 0.13, N = 3147.31123.61

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Rubber O-Ring Seal Installationc3d-standard-60 AMD Genoat2d-standard-60 AMD Milan20406080100SE +/- 4.01, N = 12SE +/- 0.22, N = 389.6572.06

Model: INIVOL and Fluid Structure Interaction Drop Container

c3d-standard-60 AMD Genoa: The test run did not produce a result. E: ** ERROR: INPUT FILE /fsi_drop_container NOT FOUND

t2d-standard-60 AMD Milan: The test run did not produce a result. E: ** ERROR: INPUT FILE /fsi_drop_container NOT FOUND

Remhos

Remhos (REMap High-Order Solver) is a miniapp that solves the pure advection equations that are used to perform monotonic and conservative discontinuous field interpolation (remap) as part of the Eulerian phase in Arbitrary Lagrangian Eulerian (ALE) simulations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRemhos 1.0Test: Sample Remap Examplec3d-standard-60 AMD Genoac6g.16xlarget2d-standard-60 AMD Milan816243240SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 333.3620.8216.331. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 0c6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa60120180240300SE +/- 0.34, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3270.0778.3578.071. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 2c6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa4080120160200SE +/- 0.22, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3167.9541.9941.541. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6c6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan1.00512.01023.01534.02045.0255SE +/- 0.014, N = 3SE +/- 0.007, N = 3SE +/- 0.013, N = 34.4673.2503.2051. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6, Losslessc6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa246810SE +/- 0.032, N = 3SE +/- 0.031, N = 3SE +/- 0.099, N = 38.8797.6396.8891. (CXX) g++ options: -O3 -fPIC -lm

Timed Gem5 Compilation

This test times how long it takes to compile Gem5. Gem5 is a simulator for computer system architecture research. Gem5 is widely used for computer architecture research within the industry, academia, and more. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 21.2Time To Compilec6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan50100150200250SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.27, N = 3224.41176.77170.93

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigc6g.16xlarget2d-standard-60 AMD Milan20406080100SE +/- 0.82, N = 3SE +/- 0.37, N = 5102.2233.40

Build: defconfig

c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status. E: linux-6.1/tools/objtool/include/objtool/elf.h:10:10: fatal error: gelf.h: No such file or directory

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigc6g.16xlarget2d-standard-60 AMD Milan90180270360450SE +/- 2.41, N = 3SE +/- 1.20, N = 3409.10333.35

Build: allmodconfig

c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status. E: linux-6.1/tools/objtool/include/objtool/elf.h:10:10: fatal error: gelf.h: No such file or directory

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To Compilec6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan60120180240300SE +/- 0.11, N = 3SE +/- 0.29, N = 3SE +/- 0.05, N = 3286.20198.39191.71

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: BMW27 - Compute: CPU-Onlyt2d-standard-60 AMD Milan816243240SE +/- 0.06, N = 334.27

Blend File: BMW27 - Compute: CPU-Only

c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Classroom - Compute: CPU-Onlyt2d-standard-60 AMD Milan20406080100SE +/- 0.07, N = 389.35

Blend File: Classroom - Compute: CPU-Only

c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Fishy Cat - Compute: CPU-Onlyt2d-standard-60 AMD Milan1020304050SE +/- 0.13, N = 345.22

Blend File: Fishy Cat - Compute: CPU-Only

c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Barbershop - Compute: CPU-Onlyt2d-standard-60 AMD Milan80160240320400SE +/- 0.60, N = 3351.58

Blend File: Barbershop - Compute: CPU-Only

c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Pabellon Barcelona - Compute: CPU-Onlyt2d-standard-60 AMD Milan306090120150SE +/- 0.03, N = 3112.64

Blend File: Pabellon Barcelona - Compute: CPU-Only

c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.

119 Results Shown

OpenSSL:
  SHA256
  SHA512
  ChaCha20
  AES-128-GCM
  AES-256-GCM
  ChaCha20-Poly1305
Algebraic Multi-Grid Benchmark
nekRS:
  Kershaw
  TurboPipe Periodic
OpenVINO:
  Face Detection FP16 - CPU
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
  Vehicle Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Face Detection Retail FP16 - CPU
  Road Segmentation ADAS FP16 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
  Machine Translation EN To DE FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Handwritten English Recognition FP16 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
HeFFTe - Highly Efficient FFT for Exascale:
  c2c - FFTW - float - 128
  r2c - FFTW - float - 128
  c2c - FFTW - double - 128
  r2c - FFTW - double - 128
libxsmm:
  32
  64
TensorFlow:
  CPU - 16 - ResNet-50
  CPU - 32 - ResNet-50
  CPU - 64 - ResNet-50
Coremark
Laghos:
  Triple Point Problem
  Sedov Blast Wave, ube_922_hex.mesh
7-Zip Compression:
  Compression Rating
  Decompression Rating
Stockfish
GROMACS
LAMMPS Molecular Dynamics Simulator:
  20k Atoms
  Rhodopsin Protein
Apache Cassandra
Apache IoTDB:
  500 - 100 - 500 - 400
  500 - 100 - 800 - 400
  800 - 100 - 500 - 400
  800 - 100 - 800 - 400
nginx:
  500
  1000
OpenSSL
NAS Parallel Benchmarks:
  BT.C
  CG.C
  EP.D
  FT.C
  IS.D
  LU.C
  MG.C
  SP.C
PostgreSQL:
  100 - 800 - Read Only
  100 - 1000 - Read Only
  100 - 800 - Read Write
  100 - 1000 - Read Write
OpenSSL
BRL-CAD
Apache IoTDB:
  500 - 100 - 500 - 400
  500 - 100 - 800 - 400
  800 - 100 - 500 - 400
  800 - 100 - 800 - 400
OpenVINO:
  Face Detection FP16 - CPU
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
  Vehicle Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Face Detection Retail FP16 - CPU
  Road Segmentation ADAS FP16 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
  Machine Translation EN To DE FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Handwritten English Recognition FP16 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
PostgreSQL:
  100 - 800 - Read Only - Average Latency
  100 - 1000 - Read Only - Average Latency
  100 - 800 - Read Write - Average Latency
  100 - 1000 - Read Write - Average Latency
Rodinia:
  OpenMP LavaMD
  OpenMP HotSpot3D
  OpenMP Leukocyte
  OpenMP CFD Solver
  OpenMP Streamcluster
Xcompact3d Incompact3d:
  input.i3d 129 Cells Per Direction
  input.i3d 193 Cells Per Direction
OpenRadioss:
  Bumper Beam
  Chrysler Neon 1M
  Cell Phone Drop Test
  Bird Strike on Windshield
  Rubber O-Ring Seal Installation
Remhos
libavif avifenc:
  0
  2
  6
  6, Lossless
Timed Gem5 Compilation
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Timed Node.js Compilation
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
  Pabellon Barcelona - CPU-Only