GCE c3d-standard-60

amazon testing on Ubuntu 22.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2310065-NE-2310055NE35&gru.

GCE c3d-standard-60ProcessorMotherboardChipsetMemoryDiskNetworkOSKernelVulkanCompilerFile-SystemSystem Layerc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.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)amazonAMD EPYC 9R14 (64 Cores)Amazon EC2 m7a.16xlarge (1.0 BIOS)Intel 440FX 82441FX PMC256GB5.19.0-1025-aws (x86_64)OpenBenchmarking.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 - m7a.16xlarge: --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 Processor Details- c3d-standard-60 AMD Genoa: CPU Microcode: 0xffffffff- t2d-standard-60 AMD Milan: CPU Microcode: 0xffffffff- m7a.16xlarge: CPU Microcode: 0xa10113eJava 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 - m7a.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 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

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.16xlargem7a.16xlarge46211821313147022705731739809498933430952844402933280484971239093047739628898334289858333472394000018.39142.75142.901389.6935.194166.39576.942043.051875.286605.12645.74185.293650.571764.21964.4643607.04761.1454971.2688.6301148.57557.311693.6005255.4489.750.9962.7469.681445843.521552209.00259.552717952262111058944574.39119.77617.42322864033268158347625653433223735359884187350.44180537.8420079.596257.4819597.863783.6039647.472422.4073563.1342701.8339919.71493077.6510819418.59623.89447.68682.12648.8183.9983.918.62340.292.8720.775.8615.984.5318.5664.708.206.7931.080.5239.380.464.86284.16645.49810.0256.4485.8715788528.019687792.87337.7038.82147.3189.6533.36278.06841.5383.2506.889176.767198.39450884997103222448041831802491457702346040826102160259676401196477203379204277673681935833273062000010.7373.7478.96368.3926.281285.47225.481512.571014.704239.52565.3496.582646.58633.76370.0329668.12390.7244049.15109.676196.94860.0343106.029289.2554.218.2920.3620.901730658.449440222.30364.642789732472551129587885.28926.73427.82818716933466804349258993412381035068557162957.75155609.0412973.0122720.6116649.374935.6854846.181752.6294247.7747291.9643228.112003784200818656825793860844.6629363415.08633.58433.96709.461393.56208.47193.4540.67568.7711.6566.469.9014.763.5226.50155.1411.3223.6481.000.9976.720.610.3990.498140.916172.71750.97488.53542.0107.3686.4235.6305732724.572118175.68327.8830.12123.6172.0616.32678.35041.9893.2057.639170.93033.399333.351191.70634.2789.3545.22351.58112.64422885139731438491786367324778360158788510970129198197600467151264871032893667175886000022217100000.11.061.066.530.0420.792.610.148.390.460.151.365.507.362.53178.822.36136.16129.172202.44532.357579.0156312.7589.51259870.716902179.52321.29239735234046818077062.76625.05926.041217355162553.85158700.362640.024229.1413343.352213.7621386.37915.8018807.7525661.049716.99104326797503147844776215683.29996.56947.59947.86153.1222391.8648.08382.476990.10119.172186.816773.31735.58181.94135.87394.945.58423.957.330.7671.026168.191210.60862.3015.98314.2125.6181168625.874832820.816270.068167.9464.4678.879224.414102.216409.097286.201622538611972648150682030830804508359254536274052211308052721677347553318434443337667846667477479666731.72284.42283.402417.3461.197222.101049.663666.893132.4810382.221222.99315.146177.943146.041419.1181996.811158.4392100.80121.505190.60271.1095124.363643.41201.869.5587.19100.152158639.274883218.86409.733306332825931354191697.65531.47132.78527858540899210445023334264390344699315233014.72224859.0931583.8193219.1242007.577501.76103413.024085.20210544.87121293.80102392.402923009288094053125300996017.5788704340.11521.98355.13598.49503.3856.2156.416.60261.112.2115.224.3510.193.0713.0750.725.165.0722.530.3827.600.270.2740.347150.601188.67643.28674.77834.6616.4805.9302.8960266111.591308666.27190.7926.14115.9659.1813.86765.44735.8052.6495.678153.80027.709267.965154.44127.7471.5137.12276.2391.88OpenBenchmarking.org

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge13000M26000M39000M52000M65000MSE +/- 9562123.40, N = 3SE +/- 20491615.60, N = 3SE +/- 192235444.29, N = 3SE +/- 161718701.08, N = 346211821313508849971034228851397362253861197-m64-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge6000M12000M18000M24000M30000MSE +/- 4399663.13, N = 3SE +/- 108274834.92, N = 3SE +/- 6214593.12, N = 3SE +/- 29763937.73, N = 314702270573222448041831438491786326481506820-m64-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge70000M140000M210000M280000M350000MSE +/- 12326205.97, N = 3SE +/- 47698640.87, N = 3SE +/- 372419.81, N = 3SE +/- 280681661.27, N = 317398094989318024914577067324778360308308045083-m64-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge130000M260000M390000M520000M650000MSE +/- 342949201.09, N = 3SE +/- 376720190.05, N = 3SE +/- 5537993.15, N = 3SE +/- 1818538727.73, N = 3343095284440234604082610158788510970592545362740-m64-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge110000M220000M330000M440000M550000MSE +/- 71241287.97, N = 3SE +/- 178290221.71, N = 3SE +/- 2100313.05, N = 3SE +/- 1691817104.57, N = 3293328048497216025967640129198197600522113080527-m64-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge50000M100000M150000M200000M250000MSE +/- 3664727.47, N = 3SE +/- 198663058.81, N = 3SE +/- 2259404.37, N = 3SE +/- 85099636.22, N = 312390930477311964772033746715126487216773475533-m64-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge400M800M1200M1600M2000MSE +/- 2060519.90, N = 3SE +/- 1088162.98, N = 3SE +/- 176147.98, N = 3SE +/- 1428129.35, N = 3962889833920427767103289366718434443331. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

nekRS

Input: Kershaw

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: Kershawc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge1600M3200M4800M6400M8000MSE +/- 57202190.49, N = 12SE +/- 84802173.02, N = 12SE +/- 2970005.61, N = 3SE +/- 49077561.86, N = 342898583333681935833175886000076678466671. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

nekRS

Input: TurboPipe Periodic

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: TurboPipe Periodicc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge1000M2000M3000M4000M5000MSE +/- 201939132.13, N = 12SE +/- 481352.26, N = 3SE +/- 1790009.31, N = 3SE +/- 6657808.28, N = 347239400002730620000222171000047747966671. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 318.3910.730.1031.72-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge60120180240300SE +/- 0.23, N = 3SE +/- 3.12, N = 15SE +/- 0.00, N = 3SE +/- 0.53, N = 3142.7573.741.06284.42-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge60120180240300SE +/- 0.48, N = 3SE +/- 2.74, N = 15SE +/- 0.00, N = 3SE +/- 0.29, N = 3142.9078.961.06283.40-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge5001000150020002500SE +/- 6.33, N = 3SE +/- 1.55, N = 3SE +/- 0.01, N = 3SE +/- 1.65, N = 31389.69368.396.532417.34-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge1428425670SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 335.1926.280.0461.19-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge15003000450060007500SE +/- 8.74, N = 3SE +/- 15.96, N = 3SE +/- 0.01, N = 3SE +/- 4.07, N = 34166.391285.4720.797222.10-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge2004006008001000SE +/- 1.04, N = 3SE +/- 0.93, N = 3SE +/- 0.00, N = 3SE +/- 0.11, N = 3576.94225.482.611049.66-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge8001600240032004000SE +/- 3.16, N = 3SE +/- 1.12, N = 3SE +/- 0.00, N = 15SE +/- 1.69, N = 32043.051512.570.143666.89-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge7001400210028003500SE +/- 0.47, N = 3SE +/- 0.56, N = 3SE +/- 0.01, N = 3SE +/- 0.31, N = 31875.281014.708.393132.48-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge2K4K6K8K10KSE +/- 6.52, N = 3SE +/- 2.08, N = 3SE +/- 0.01, N = 3SE +/- 3.60, N = 36605.124239.520.4610382.22-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge30060090012001500SE +/- 0.79, N = 3SE +/- 0.37, N = 3SE +/- 0.00, N = 3SE +/- 0.51, N = 3645.74565.340.151222.99-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge70140210280350SE +/- 0.25, N = 3SE +/- 0.37, N = 3SE +/- 0.00, N = 3SE +/- 0.11, N = 3185.2996.581.36315.14-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge13002600390052006500SE +/- 3.28, N = 3SE +/- 3.26, N = 3SE +/- 0.01, N = 3SE +/- 4.43, N = 33650.572646.585.506177.94-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge7001400210028003500SE +/- 4.38, N = 3SE +/- 3.66, N = 3SE +/- 0.01, N = 3SE +/- 1.10, N = 31764.21633.767.363146.04-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge30060090012001500SE +/- 0.60, N = 3SE +/- 0.96, N = 3SE +/- 0.02, N = 3SE +/- 0.70, N = 3964.46370.032.531419.11-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge20K40K60K80K100KSE +/- 18.42, N = 3SE +/- 14.46, N = 3SE +/- 0.39, N = 3SE +/- 31.79, N = 343607.0429668.12178.8281996.81-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge2004006008001000SE +/- 1.75, N = 3SE +/- 1.37, N = 3SE +/- 0.00, N = 3SE +/- 0.18, N = 3761.14390.722.361158.43-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge20K40K60K80K100KSE +/- 45.46, N = 3SE +/- 332.93, N = 3SE +/- 0.48, N = 3SE +/- 453.62, N = 354971.2644049.15136.1692100.80-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128

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.16xlargem7a.16xlarge306090120150SE +/- 0.52, N = 3SE +/- 0.78, N = 3SE +/- 0.11, N = 3SE +/- 1.44, N = 1588.63109.68129.17121.511. (CXX) g++ options: -O3

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128

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.16xlargem7a.16xlarge4080120160200SE +/- 2.19, N = 12SE +/- 0.82, N = 3SE +/- 0.57, N = 3SE +/- 2.16, N = 15148.58196.95202.45190.601. (CXX) g++ options: -O3

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge1632486480SE +/- 1.29, N = 15SE +/- 0.66, N = 3SE +/- 0.10, N = 3SE +/- 0.63, N = 1557.3160.0332.3671.111. (CXX) g++ options: -O3

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge306090120150SE +/- 1.78, N = 12SE +/- 0.91, N = 3SE +/- 0.71, N = 3SE +/- 1.18, N = 1593.60106.0379.02124.361. (CXX) g++ options: -O3

libxsmm

M N K: 32

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 32c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge140280420560700SE +/- 0.19, N = 3SE +/- 3.60, N = 4SE +/- 0.47, N = 3SE +/- 0.40, N = 3255.4289.2312.7643.4-lquadmath -msse4.2-lquadmath -msse4.2-march=armv8.1-a-lquadmath -msse4.21. (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

libxsmm

M N K: 64

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge30060090012001500SE +/- 0.12, N = 3SE +/- 0.25, N = 3SE +/- 0.96, N = 3SE +/- 0.52, N = 3489.7554.2589.51201.8-lquadmath -msse4.2-lquadmath -msse4.2-march=armv8.1-a-lquadmath -msse4.21. (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

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanm7a.16xlarge1530456075SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.20, N = 350.9918.2969.55

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanm7a.16xlarge20406080100SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 362.7420.3687.19

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanm7a.16xlarge20406080100SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 369.6820.90100.15

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Secondc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge500K1000K1500K2000K2500KSE +/- 1295.68, N = 3SE +/- 9191.61, N = 3SE +/- 635.29, N = 3SE +/- 1437.63, N = 31445843.521730658.451259870.722158639.271. (CC) gcc options: -O2 -lrt" -lrt

Laghos

Test: Triple Point Problem

OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Triple Point Problemc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge50100150200250SE +/- 0.22, N = 3SE +/- 1.77, N = 3SE +/- 0.50, N = 3SE +/- 1.67, N = 3209.00222.30179.52218.861. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

Laghos

Test: Sedov Blast Wave, ube_922_hex.mesh

OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Sedov Blast Wave, ube_922_hex.meshc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge90180270360450SE +/- 0.31, N = 3SE +/- 0.62, N = 3SE +/- 0.79, N = 3SE +/- 1.29, N = 3259.55364.64321.29409.731. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Ratingc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge70K140K210K280K350KSE +/- 346.51, N = 3SE +/- 388.74, N = 3SE +/- 359.95, N = 3SE +/- 400.99, N = 32717952789732397353306331. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Ratingc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge60K120K180K240K300KSE +/- 519.21, N = 3SE +/- 347.74, N = 3SE +/- 57.33, N = 3SE +/- 342.37, N = 32262112472552340462825931. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total Timec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge30M60M90M120M150MSE +/- 1450871.09, N = 3SE +/- 1618403.29, N = 14SE +/- 1645401.81, N = 15SE +/- 1001447.21, N = 310589445711295878881807706135419169-m64 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2-m64 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2-m64 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -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

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_barec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge246810SE +/- 0.011, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.035, N = 34.3915.2892.7667.6551. (CXX) g++ options: -O3

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k Atomsc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge714212835SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 319.7826.7325.0631.47-lm-lm-lm1. (CXX) g++ options: -O3 -ldl

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin Proteinc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge816243240SE +/- 0.54, N = 12SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 317.4227.8326.0432.79-lm-lm-lm1. (CXX) g++ options: -O3 -ldl

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: Writesc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge60K120K180K240K300KSE +/- 1129.40, N = 3SE +/- 681.76, N = 3SE +/- 3249.94, N = 12SE +/- 352.65, N = 3228640187169217355278585

Apache IoTDB

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

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 Milanm7a.16xlarge9M18M27M36M45MSE +/- 154587.14, N = 3SE +/- 303573.79, N = 3SE +/- 457186.43, N = 3332681583346680440899210

Apache IoTDB

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

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 Milanm7a.16xlarge10M20M30M40M50MSE +/- 188621.29, N = 3SE +/- 221111.93, N = 3SE +/- 224779.59, N = 3347625653492589944502333

Apache IoTDB

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

OpenBenchmarking.orgpoint/sec, More 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 Milanm7a.16xlarge9M18M27M36M45MSE +/- 66565.66, N = 3SE +/- 130588.20, N = 3SE +/- 111073.27, N = 3343322373412381042643903

Apache IoTDB

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

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanm7a.16xlarge10M20M30M40M50MSE +/- 267152.12, N = 3SE +/- 354923.23, N = 3SE +/- 99649.31, N = 3353598843506855744699315

nginx

Connections: 500

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge50K100K150K200K250KSE +/- 126.15, N = 3SE +/- 394.72, N = 3SE +/- 249.05, N = 3SE +/- 451.60, N = 3187350.44162957.75162553.85233014.721. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

nginx

Connections: 1000

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge50K100K150K200K250KSE +/- 688.79, N = 3SE +/- 156.32, N = 3SE +/- 132.24, N = 3SE +/- 260.28, N = 3180537.84155609.04158700.36224859.091. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge7K14K21K28K35KSE +/- 14.62, N = 3SE +/- 11.58, N = 3SE +/- 0.09, N = 3SE +/- 24.57, N = 320079.512973.02640.031583.8-m64-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

NAS Parallel Benchmarks

Test / Class: BT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.Cc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge40K80K120K160K200KSE +/- 122.23, N = 3SE +/- 42.77, N = 3SE +/- 7.69, N = 3SE +/- 560.75, N = 396257.48122720.6124229.14193219.121. (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

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.Cc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge9K18K27K36K45KSE +/- 77.92, N = 3SE +/- 1215.82, N = 15SE +/- 23.52, N = 3SE +/- 178.46, N = 319597.8616649.3713343.3542007.571. (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

NAS Parallel Benchmarks

Test / Class: EP.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.Dc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge16003200480064008000SE +/- 30.67, N = 3SE +/- 51.21, N = 5SE +/- 7.28, N = 3SE +/- 8.54, N = 33783.604935.682213.767501.761. (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

NAS Parallel Benchmarks

Test / Class: FT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.Cc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge20K40K60K80K100KSE +/- 600.19, N = 15SE +/- 137.77, N = 3SE +/- 2.85, N = 3SE +/- 446.85, N = 339647.4754846.1821386.37103413.021. (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

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.Dc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge9001800270036004500SE +/- 36.45, N = 15SE +/- 142.62, N = 12SE +/- 0.58, N = 3SE +/- 3.14, N = 32422.401752.62915.804085.201. (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

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.Cc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge50K100K150K200K250KSE +/- 293.57, N = 3SE +/- 1463.52, N = 15SE +/- 7.52, N = 3SE +/- 661.61, N = 373563.1394247.7718807.75210544.871. (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

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.Cc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge30K60K90K120K150KSE +/- 29.69, N = 3SE +/- 145.06, N = 3SE +/- 10.99, N = 3SE +/- 526.14, N = 342701.8347291.9625661.04121293.801. (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

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.Cc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge20K40K60K80K100KSE +/- 45.01, N = 3SE +/- 555.92, N = 3SE +/- 0.76, N = 3SE +/- 91.17, N = 339919.7143228.119716.99102392.401. (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

PostgreSQL

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Onlyt2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge600K1200K1800K2400K3000KSE +/- 20558.90, N = 3SE +/- 12058.27, N = 3SE +/- 13309.30, N = 32003784104326729230091. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Onlyt2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge600K1200K1800K2400K3000KSE +/- 22497.42, N = 3SE +/- 12606.16, N = 3SE +/- 2874.04, N = 3200818697503128809401. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Writet2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge12002400360048006000SE +/- 49.28, N = 12SE +/- 109.40, N = 12SE +/- 13.63, N = 35682478453121. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Writet2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge12002400360048006000SE +/- 49.93, N = 8SE +/- 124.50, N = 9SE +/- 16.57, N = 35793477653001. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge200K400K600K800K1000KSE +/- 50.91, N = 3SE +/- 644.45, N = 3SE +/- 6.55, N = 3SE +/- 367.82, N = 3493077.6860844.6215683.2996017.5-m64-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.36VGR Performance Metricc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanm7a.16xlarge200K400K600K800K1000K5108196293637887041. (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

Apache IoTDB

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

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 Milanm7a.16xlarge90180270360450SE +/- 2.14, N = 3SE +/- 4.08, N = 3SE +/- 4.92, N = 3418.59415.08340.11MAX: 31920.67MAX: 28810.4MAX: 37899.66

Apache IoTDB

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

OpenBenchmarking.orgAverage Latency, Fewer 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 Milanm7a.16xlarge140280420560700SE +/- 3.18, N = 3SE +/- 12.58, N = 3SE +/- 0.65, N = 3623.89633.58521.98MAX: 41831.2MAX: 54749.7MAX: 34235.44

Apache IoTDB

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

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 Milanm7a.16xlarge100200300400500SE +/- 27.08, N = 3SE +/- 35.57, N = 3SE +/- 7.15, N = 3447.68433.96355.13MAX: 95136.87MAX: 103381.73MAX: 67149.77

Apache IoTDB

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanm7a.16xlarge150300450600750SE +/- 7.53, N = 3SE +/- 25.87, N = 3SE +/- 4.86, N = 3682.12709.46598.49MAX: 98294.84MAX: 113264.06MAX: 62432.53

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge2K4K6K8K10KSE +/- 0.17, N = 3SE +/- 1.32, N = 3SE +/- 1.02, N = 3SE +/- 0.12, N = 3648.811393.569996.56503.38-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

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge2004006008001000SE +/- 0.13, N = 3SE +/- 9.17, N = 15SE +/- 0.37, N = 3SE +/- 0.10, N = 383.99208.47947.5956.21-pie - MIN: 119.65 / MAX: 316.01-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 943.57 / MAX: 951.681. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge2004006008001000SE +/- 0.29, N = 3SE +/- 7.79, N = 15SE +/- 0.55, N = 3SE +/- 0.06, N = 383.91193.45947.8656.41-pie - MIN: 113.44 / MAX: 315.54-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 944.57 / MAX: 958.261. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge306090120150SE +/- 0.04, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.00, N = 38.6240.67153.126.60-pie - MIN: 12.07 / MAX: 59.44-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 152.69 / MAX: 153.751. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge5K10K15K20K25KSE +/- 0.21, N = 3SE +/- 0.35, N = 3SE +/- 15.60, N = 3SE +/- 0.03, N = 3340.29568.7722391.86261.11-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

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge1122334455SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 32.8711.6548.082.21-pie - MIN: 3.76 / MAX: 29.1-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 47.55 / MAX: 50.491. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge80160240320400SE +/- 0.04, N = 3SE +/- 0.27, N = 3SE +/- 0.20, N = 3SE +/- 0.00, N = 320.7766.46382.4715.22-pie - MIN: 25.85 / MAX: 122.2-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 381.67 / MAX: 383.431. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge15003000450060007500SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 27.09, N = 15SE +/- 0.00, N = 35.869.906990.104.35-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

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge306090120150SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 315.9814.76119.1710.19-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

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge5001000150020002500SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 27.29, N = 3SE +/- 0.00, N = 34.533.522186.813.07-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

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge15003000450060007500SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 76.95, N = 3SE +/- 0.01, N = 318.5626.506773.3113.07-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

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge160320480640800SE +/- 0.09, N = 3SE +/- 0.58, N = 3SE +/- 0.26, N = 3SE +/- 0.02, N = 364.70155.14735.5850.72-pie - MIN: 114.75 / MAX: 224.64-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 734.34 / MAX: 738.231. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge4080120160200SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.24, N = 3SE +/- 0.01, N = 38.2011.32181.945.16-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

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge306090120150SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 3SE +/- 0.00, N = 36.7923.64135.875.07-pie - MIN: 9.57 / MAX: 42.22-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 132.35 / MAX: 148.641. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge90180270360450SE +/- 0.02, N = 3SE +/- 0.21, N = 3SE +/- 2.18, N = 3SE +/- 0.01, N = 331.0881.00394.9422.53-pie - MIN: 64.65 / MAX: 134.64-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 380.82 / MAX: 408.151. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge1.25552.5113.76655.0226.2775SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 30.520.995.580.38-pie - MIN: 0.8 / MAX: 13.76-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 5.45 / MAX: 6.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge90180270360450SE +/- 0.09, N = 3SE +/- 0.27, N = 3SE +/- 0.26, N = 3SE +/- 0.01, N = 339.3876.72423.9527.60-pie - MIN: 58.8 / MAX: 121.69-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 411.17 / MAX: 440.571. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 30.400.617.330.27-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

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latencyt2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge0.17260.34520.51780.69040.863SE +/- 0.004, N = 3SE +/- 0.009, N = 3SE +/- 0.001, N = 30.3990.7670.2741. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latencyt2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge0.23090.46180.69270.92361.1545SE +/- 0.006, N = 3SE +/- 0.013, N = 3SE +/- 0.000, N = 30.4981.0260.3471. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latencyt2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge4080120160200SE +/- 1.23, N = 12SE +/- 3.85, N = 12SE +/- 0.39, N = 3140.92168.19150.601. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latencyt2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge50100150200250SE +/- 1.44, N = 8SE +/- 6.00, N = 9SE +/- 0.59, N = 3172.72210.61188.681. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

Rodinia

Test: OpenMP LavaMD

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge1428425670SE +/- 0.18, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.24, N = 364.8650.9762.3043.291. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP HotSpot3D

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3Dc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanm7a.16xlarge20406080100SE +/- 0.86, N = 15SE +/- 1.83, N = 12SE +/- 0.74, N = 1584.1788.5474.781. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP Leukocyte

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocytec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanm7a.16xlarge1020304050SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.32, N = 345.5042.0134.661. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP CFD Solver

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solverc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge3691215SE +/- 0.013, N = 3SE +/- 0.034, N = 3SE +/- 0.001, N = 3SE +/- 0.007, N = 310.0257.3685.9836.4801. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP Streamcluster

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamclusterc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge48121620SE +/- 0.104, N = 15SE +/- 0.009, N = 3SE +/- 0.017, N = 3SE +/- 0.049, N = 36.4486.42314.2125.9301. (CXX) g++ options: -O2 -lOpenCL

Xcompact3d Incompact3d

Input: input.i3d 129 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Directionc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge1.32112.64223.96335.28446.6055SE +/- 0.04970425, N = 3SE +/- 0.02210564, N = 3SE +/- 0.01888616, N = 3SE +/- 0.03993251, N = 35.871578855.630573275.618116862.896026611. (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

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Directionc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge714212835SE +/- 0.25, N = 3SE +/- 0.31, N = 12SE +/- 0.01, N = 3SE +/- 0.04, N = 328.0224.5725.8711.591. (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

Model: Bumper Beam

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bumper Beamc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanm7a.16xlarge20406080100SE +/- 1.56, N = 15SE +/- 0.10, N = 3SE +/- 0.05, N = 392.8775.6866.27

OpenRadioss

Model: Chrysler Neon 1M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1Mc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanm7a.16xlarge70140210280350SE +/- 2.03, N = 3SE +/- 1.48, N = 3SE +/- 0.61, N = 3337.70327.88190.79

OpenRadioss

Model: Cell Phone Drop Test

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop Testc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanm7a.16xlarge918273645SE +/- 1.27, N = 15SE +/- 0.39, N = 15SE +/- 0.08, N = 338.8230.1226.14

OpenRadioss

Model: Bird Strike on Windshield

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bird Strike on Windshieldc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanm7a.16xlarge306090120150SE +/- 3.26, N = 9SE +/- 0.13, N = 3SE +/- 0.18, N = 3147.31123.61115.96

OpenRadioss

Model: Rubber O-Ring Seal Installation

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Rubber O-Ring Seal Installationc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanm7a.16xlarge20406080100SE +/- 4.01, N = 12SE +/- 0.22, N = 3SE +/- 0.73, N = 389.6572.0659.18

Remhos

Test: Sample Remap Example

OpenBenchmarking.orgSeconds, Fewer Is BetterRemhos 1.0Test: Sample Remap Examplec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge816243240SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 333.3616.3320.8213.871. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

libavif avifenc

Encoder Speed: 0

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 0c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge60120180240300SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.34, N = 3SE +/- 0.10, N = 378.0778.35270.0765.451. (CXX) g++ options: -O3 -fPIC -lm

libavif avifenc

Encoder Speed: 2

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 2c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge4080120160200SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.22, N = 3SE +/- 0.22, N = 341.5441.99167.9535.811. (CXX) g++ options: -O3 -fPIC -lm

libavif avifenc

Encoder Speed: 6

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge1.00512.01023.01534.02045.0255SE +/- 0.007, N = 3SE +/- 0.013, N = 3SE +/- 0.014, N = 3SE +/- 0.015, N = 33.2503.2054.4672.6491. (CXX) g++ options: -O3 -fPIC -lm

libavif avifenc

Encoder Speed: 6, Lossless

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6, Losslessc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge246810SE +/- 0.099, N = 3SE +/- 0.031, N = 3SE +/- 0.032, N = 3SE +/- 0.008, N = 36.8897.6398.8795.6781. (CXX) g++ options: -O3 -fPIC -lm

Timed Gem5 Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 21.2Time To Compilec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge50100150200250SE +/- 0.07, N = 3SE +/- 0.27, N = 3SE +/- 0.03, N = 3SE +/- 0.39, N = 3176.77170.93224.41153.80

Timed Linux Kernel Compilation

Build: defconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigt2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge20406080100SE +/- 0.37, N = 5SE +/- 0.82, N = 3SE +/- 0.29, N = 533.40102.2227.71

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigt2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge90180270360450SE +/- 1.20, N = 3SE +/- 2.41, N = 3SE +/- 0.37, N = 3333.35409.10267.97

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To Compilec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge60120180240300SE +/- 0.29, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3198.39191.71286.20154.44

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: BMW27 - Compute: CPU-Onlyt2d-standard-60 AMD Milanm7a.16xlarge816243240SE +/- 0.06, N = 3SE +/- 0.04, N = 334.2727.74

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Classroom - Compute: CPU-Onlyt2d-standard-60 AMD Milanm7a.16xlarge20406080100SE +/- 0.07, N = 3SE +/- 0.01, N = 389.3571.51

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Fishy Cat - Compute: CPU-Onlyt2d-standard-60 AMD Milanm7a.16xlarge1020304050SE +/- 0.13, N = 3SE +/- 0.10, N = 345.2237.12

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Barbershop - Compute: CPU-Onlyt2d-standard-60 AMD Milanm7a.16xlarge80160240320400SE +/- 0.60, N = 3SE +/- 0.49, N = 3351.58276.23

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Pabellon Barcelona - Compute: CPU-Onlyt2d-standard-60 AMD Milanm7a.16xlarge306090120150SE +/- 0.03, N = 3SE +/- 0.08, N = 3112.6491.88

Phoronix Test Suite v10.8.5