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&grs&sor.

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-60openvino: Face Detection FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUnpb: BT.Copenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUnpb: FT.Ctensorflow: CPU - 64 - ResNet-50npb: MG.Cavifenc: 2openssl: ChaCha20-Poly1305openssl: RSA4096openssl: ChaCha20tensorflow: CPU - 32 - ResNet-50avifenc: 0openssl: AES-256-GCMopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection FP16 - CPUtensorflow: CPU - 16 - ResNet-50openssl: AES-128-GCMbuild-linux-kernel: defconfignpb: EP.Dopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUpgbench: 100 - 1000 - Read Only - Average Latencypgbench: 100 - 1000 - Read Onlypgbench: 100 - 800 - Read Onlypgbench: 100 - 800 - Read Only - Average Latencygromacs: MPI CPU - water_GMX50_barelibxsmm: 32libxsmm: 64incompact3d: input.i3d 193 Cells Per Directionremhos: Sample Remap Exampleincompact3d: input.i3d 129 Cells Per Directionamg: openvino: Face Detection FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenssl: RSA4096openvino: Weld Porosity Detection FP16 - CPUnpb: SP.Cbuild-nodejs: Time To Compileopenssl: SHA512openradioss: Chrysler Neon 1Mcoremark: CoreMark Size 666 - Iterations Per Secondavifenc: 6rodinia: OpenMP CFD Solverlammps: 20k Atomslaghos: Sedov Blast Wave, ube_922_hex.meshavifenc: 6, Losslessbrl-cad: VGR Performance Metricbuild-linux-kernel: allmodconfigrodinia: OpenMP LavaMDcassandra: Writesopenssl: SHA256build-gem5: Time To Compileheffte: c2c - FFTW - float - 128nginx: 1000nginx: 500compress-7zip: Compression Ratingheffte: r2c - FFTW - float - 128rodinia: OpenMP Leukocyteapache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 800 - 100 - 800 - 400blender: Barbershop - CPU-Onlyapache-iotdb: 800 - 100 - 500 - 400blender: Classroom - CPU-Onlycompress-7zip: Decompression Ratinglaghos: Triple Point Problemblender: BMW27 - CPU-Onlyapache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 500 - 400blender: Pabellon Barcelona - CPU-Onlyblender: Fishy Cat - CPU-Onlyapache-iotdb: 500 - 100 - 800 - 400pgbench: 100 - 1000 - Read Write - Average Latencypgbench: 100 - 800 - Read Write - Average Latencyopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUpgbench: 100 - 1000 - Read Writepgbench: 100 - 800 - Read Writeapache-iotdb: 800 - 100 - 800 - 400apache-iotdb: 800 - 100 - 500 - 400stockfish: Total Timelammps: Rhodopsin Proteinnekrs: TurboPipe Periodicnekrs: Kershawopenradioss: Rubber O-Ring Seal Installationopenradioss: Bird Strike on Windshieldopenradioss: Cell Phone Drop Testopenradioss: Bumper Beamheffte: r2c - FFTW - double - 128heffte: c2c - FFTW - double - 128rodinia: OpenMP Streamclusterrodinia: OpenMP HotSpot3Dnpb: LU.Cnpb: IS.Dnpb: CG.Cc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlarge340.29645.744.5396257.4854971.26964.4618.56761.1443607.041764.21576.9439647.4769.6842701.8341.538123909304773493077.617398094989362.7478.0682933280484971875.281389.698.204166.3918.3950.993430952844403783.600.42043.056.7920.77185.298.626605.122.874.391255.4489.728.019687733.3625.87157885962889833648.8131.085.8635.1939.380.5264.703650.5720079.515.9839919.71198.39414702270573337.701445843.5215523.25010.02519.776259.556.88951081964.86222864046211821313176.76788.6301180537.84187350.44271795148.57545.498347625653535988434332237226211209.00418.5933268158623.8983.91142.9083.99142.75682.12447.6810589445717.4234723940000428985833389.65147.3138.8292.8793.600557.31166.44884.16673563.132422.4019597.86568.77565.343.52122720.6144049.15370.0326.50390.7229668.12633.76225.4854846.1820.9047291.9641.989119647720337860844.618024914577020.3678.3502160259676401014.70368.3911.321285.4710.7318.2923460408261033.3994935.680.611512.5723.6466.4696.5840.674239.5211.650.498200818620037840.3995.289289.2554.224.572118116.3265.630573279204277671393.5681.009.9026.2876.720.99155.142646.5812973.014.7643228.11191.70622244804183327.881730658.4494403.2057.36826.734364.647.639629363333.35150.97418716950884997103170.930109.676155609.04162957.75278973196.94842.0103492589935068557351.583412381089.35247255222.3034.27415.0833466804112.6445.22633.58172.717140.916193.4578.96208.4773.7457935682709.46433.9611295878827.8282730620000368193583372.06123.6130.1275.68106.02960.03436.42388.53594247.771752.6216649.3722391.860.152186.8124229.14136.162.536773.312.36178.827.362.6121386.3725661.04167.94646715126487215683.267324778360270.0681291981976008.396.53181.9420.790.1158788510970102.2162213.767.330.14135.87382.471.36153.120.4648.081.02697503110432670.7672.766312.7589.525.874832820.8165.6181168610328936679996.56394.946990.100.04423.955.58735.585.502640.0119.179716.99286.201143849178631259870.7169024.4675.98325.059321.298.879409.09762.30121735542288513973224.414129.172158700.36162553.85239735202.445234046179.52210.608168.191947.861.06947.591.06477647848180770626.0412221710000175886000079.015632.357514.21218807.75915.8013343.35261.111222.993.07193219.1292100.801419.1113.071158.4381996.813146.041049.66103413.02100.15121293.8035.805216773475533996017.530830804508387.1965.4475221130805273132.482417.345.167222.1031.7269.5559254536274027.7097501.760.273666.895.0715.22315.146.6010382.222.210.347288094029230090.2747.655643.41201.811.591308613.8672.896026611843444333503.3822.534.3561.1927.600.3850.726177.9431583.810.19102392.40154.44126481506820190.792158639.2748832.6496.48031.471409.735.678788704267.96543.28627858562253861197153.800121.505224859.09233014.72330633190.60234.6614450233344699315276.234264390371.51282593218.8627.74340.114089921091.8837.12521.98188.676150.60156.41283.4056.21284.4253005312598.49355.1313541916932.7854774796667766784666759.18115.9626.1466.27124.36371.10955.93074.778210544.874085.2042007.57OpenBenchmarking.org

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge5K10K15K20K25KSE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 0.35, N = 3SE +/- 15.60, N = 3261.11340.29568.7722391.86-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: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge30060090012001500SE +/- 0.51, N = 3SE +/- 0.79, N = 3SE +/- 0.37, N = 3SE +/- 0.00, N = 31222.99645.74565.340.15-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.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge5001000150020002500SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 27.29, N = 33.073.524.532186.81-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

NAS Parallel Benchmarks

Test / Class: BT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.Cm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge40K80K120K160K200KSE +/- 560.75, N = 3SE +/- 42.77, N = 3SE +/- 122.23, N = 3SE +/- 7.69, N = 3193219.12122720.6196257.4824229.141. (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

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: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge20K40K60K80K100KSE +/- 453.62, N = 3SE +/- 45.46, N = 3SE +/- 332.93, N = 3SE +/- 0.48, N = 392100.8054971.2644049.15136.16-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: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge30060090012001500SE +/- 0.70, N = 3SE +/- 0.60, N = 3SE +/- 0.96, N = 3SE +/- 0.02, N = 31419.11964.46370.032.53-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.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge15003000450060007500SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 76.95, N = 313.0718.5626.506773.31-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: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge2004006008001000SE +/- 0.18, N = 3SE +/- 1.75, N = 3SE +/- 1.37, N = 3SE +/- 0.00, N = 31158.43761.14390.722.36-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: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge20K40K60K80K100KSE +/- 31.79, N = 3SE +/- 18.42, N = 3SE +/- 14.46, N = 3SE +/- 0.39, N = 381996.8143607.0429668.12178.82-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: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge7001400210028003500SE +/- 1.10, N = 3SE +/- 4.38, N = 3SE +/- 3.66, N = 3SE +/- 0.01, N = 33146.041764.21633.767.36-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: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge2004006008001000SE +/- 0.11, N = 3SE +/- 1.04, N = 3SE +/- 0.93, N = 3SE +/- 0.00, N = 31049.66576.94225.482.61-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

NAS Parallel Benchmarks

Test / Class: FT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.Cm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge20K40K60K80K100KSE +/- 446.85, N = 3SE +/- 137.77, N = 3SE +/- 600.19, N = 15SE +/- 2.85, N = 3103413.0254846.1839647.4721386.371. (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

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan20406080100SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3100.1569.6820.90

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.Cm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge30K60K90K120K150KSE +/- 526.14, N = 3SE +/- 145.06, N = 3SE +/- 29.69, N = 3SE +/- 10.99, N = 3121293.8047291.9642701.8325661.041. (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

libavif avifenc

Encoder Speed: 2

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 2m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge4080120160200SE +/- 0.22, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.22, N = 335.8141.5441.99167.951. (CXX) g++ options: -O3 -fPIC -lm

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge50000M100000M150000M200000M250000MSE +/- 85099636.22, N = 3SE +/- 3664727.47, N = 3SE +/- 198663058.81, N = 3SE +/- 2259404.37, N = 321677347553312390930477311964772033746715126487-m64-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096m7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge200K400K600K800K1000KSE +/- 367.82, N = 3SE +/- 644.45, N = 3SE +/- 50.91, N = 3SE +/- 6.55, N = 3996017.5860844.6493077.6215683.2-m64-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20m7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge70000M140000M210000M280000M350000MSE +/- 280681661.27, N = 3SE +/- 47698640.87, N = 3SE +/- 12326205.97, N = 3SE +/- 372419.81, N = 330830804508318024914577017398094989367324778360-m64-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan20406080100SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 387.1962.7420.36

libavif avifenc

Encoder Speed: 0

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 0m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge60120180240300SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.34, N = 365.4578.0778.35270.071. (CXX) g++ options: -O3 -fPIC -lm

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge110000M220000M330000M440000M550000MSE +/- 1691817104.57, N = 3SE +/- 71241287.97, N = 3SE +/- 178290221.71, N = 3SE +/- 2100313.05, N = 3522113080527293328048497216025967640129198197600-m64-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge7001400210028003500SE +/- 0.31, N = 3SE +/- 0.47, N = 3SE +/- 0.56, N = 3SE +/- 0.01, N = 33132.481875.281014.708.39-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: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge5001000150020002500SE +/- 1.65, N = 3SE +/- 6.33, N = 3SE +/- 1.55, N = 3SE +/- 0.01, N = 32417.341389.69368.396.53-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.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge4080120160200SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.24, N = 35.168.2011.32181.94-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: Face Detection Retail FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge15003000450060007500SE +/- 4.07, N = 3SE +/- 8.74, N = 3SE +/- 15.96, N = 3SE +/- 0.01, N = 37222.104166.391285.4720.79-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 331.7218.3910.730.10-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan1530456075SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 369.5550.9918.29

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge130000M260000M390000M520000M650000MSE +/- 1818538727.73, N = 3SE +/- 342949201.09, N = 3SE +/- 376720190.05, N = 3SE +/- 5537993.15, N = 3592545362740343095284440234604082610158788510970-m64-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

Timed Linux Kernel Compilation

Build: defconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigm7a.16xlarget2d-standard-60 AMD Milanc6g.16xlarge20406080100SE +/- 0.29, N = 5SE +/- 0.37, N = 5SE +/- 0.82, N = 327.7133.40102.22

NAS Parallel Benchmarks

Test / Class: EP.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.Dm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge16003200480064008000SE +/- 8.54, N = 3SE +/- 51.21, N = 5SE +/- 30.67, N = 3SE +/- 7.28, N = 37501.764935.683783.602213.761. (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

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: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 30.270.400.617.33-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

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge8001600240032004000SE +/- 1.69, N = 3SE +/- 3.16, N = 3SE +/- 1.12, N = 3SE +/- 0.00, N = 153666.892043.051512.570.14-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.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge306090120150SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 35.076.7923.64135.87-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: Road Segmentation ADAS FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge80160240320400SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.27, N = 3SE +/- 0.20, N = 315.2220.7766.46382.47-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: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge70140210280350SE +/- 0.11, N = 3SE +/- 0.25, N = 3SE +/- 0.37, N = 3SE +/- 0.00, N = 3315.14185.2996.581.36-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.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge306090120150SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 36.608.6240.67153.12-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 Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge2K4K6K8K10KSE +/- 3.60, N = 3SE +/- 6.52, N = 3SE +/- 2.08, N = 3SE +/- 0.01, N = 310382.226605.124239.520.46-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.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge1122334455SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 32.212.8711.6548.08-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

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 Latencym7a.16xlarget2d-standard-60 AMD Milanc6g.16xlarge0.23090.46180.69270.92361.1545SE +/- 0.000, N = 3SE +/- 0.006, N = 3SE +/- 0.013, N = 30.3470.4981.0261. (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 Onlym7a.16xlarget2d-standard-60 AMD Milanc6g.16xlarge600K1200K1800K2400K3000KSE +/- 2874.04, N = 3SE +/- 22497.42, N = 3SE +/- 12606.16, N = 3288094020081869750311. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Onlym7a.16xlarget2d-standard-60 AMD Milanc6g.16xlarge600K1200K1800K2400K3000KSE +/- 13309.30, N = 3SE +/- 20558.90, N = 3SE +/- 12058.27, N = 32923009200378410432671. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

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 Latencym7a.16xlarget2d-standard-60 AMD Milanc6g.16xlarge0.17260.34520.51780.69040.863SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.009, N = 30.2740.3990.7671. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_barem7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge246810SE +/- 0.035, N = 3SE +/- 0.005, N = 3SE +/- 0.011, N = 3SE +/- 0.001, N = 37.6555.2894.3912.7661. (CXX) g++ options: -O3

libxsmm

M N K: 32

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 32m7a.16xlargec6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa140280420560700SE +/- 0.40, N = 3SE +/- 0.47, N = 3SE +/- 3.60, N = 4SE +/- 0.19, N = 3643.4312.7289.2255.4-lquadmath -msse4.2-march=armv8.1-a-lquadmath -msse4.2-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: 64m7a.16xlargec6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa30060090012001500SE +/- 0.52, N = 3SE +/- 0.96, N = 3SE +/- 0.25, N = 3SE +/- 0.12, N = 31201.8589.5554.2489.7-lquadmath -msse4.2-march=armv8.1-a-lquadmath -msse4.2-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

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Directionm7a.16xlarget2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoa714212835SE +/- 0.04, N = 3SE +/- 0.31, N = 12SE +/- 0.01, N = 3SE +/- 0.25, N = 311.5924.5725.8728.021. (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

Remhos

Test: Sample Remap Example

OpenBenchmarking.orgSeconds, Fewer Is BetterRemhos 1.0Test: Sample Remap Examplem7a.16xlarget2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoa816243240SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 313.8716.3320.8233.361. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

Xcompact3d Incompact3d

Input: input.i3d 129 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Directionm7a.16xlargec6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa1.32112.64223.96335.28446.6055SE +/- 0.03993251, N = 3SE +/- 0.01888616, N = 3SE +/- 0.02210564, N = 3SE +/- 0.04970425, N = 32.896026615.618116865.630573275.871578851. (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

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2m7a.16xlargec6g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan400M800M1200M1600M2000MSE +/- 1428129.35, N = 3SE +/- 176147.98, N = 3SE +/- 2060519.90, N = 3SE +/- 1088162.98, N = 3184344433310328936679628898339204277671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge2K4K6K8K10KSE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 1.32, N = 3SE +/- 1.02, N = 3503.38648.811393.569996.56-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: Handwritten English Recognition FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge90180270360450SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.21, N = 3SE +/- 2.18, N = 322.5331.0881.00394.94-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: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge15003000450060007500SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 27.09, N = 154.355.869.906990.10-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: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge1428425670SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 361.1935.1926.280.04-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.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge90180270360450SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.27, N = 3SE +/- 0.26, N = 327.6039.3876.72423.95-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 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge1.25552.5113.76655.0226.2775SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.380.520.995.58-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: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge160320480640800SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.58, N = 3SE +/- 0.26, N = 350.7264.70155.14735.58-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.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge13002600390052006500SE +/- 4.43, N = 3SE +/- 3.28, N = 3SE +/- 3.26, N = 3SE +/- 0.01, N = 36177.943650.572646.585.50-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge7K14K21K28K35KSE +/- 24.57, N = 3SE +/- 14.62, N = 3SE +/- 11.58, N = 3SE +/- 0.09, N = 331583.820079.512973.02640.0-m64-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge306090120150SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 310.1914.7615.98119.17-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

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.Cm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge20K40K60K80K100KSE +/- 91.17, N = 3SE +/- 555.92, N = 3SE +/- 45.01, N = 3SE +/- 0.76, N = 3102392.4043228.1139919.719716.991. (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

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To Compilem7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge60120180240300SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.29, N = 3SE +/- 0.11, N = 3154.44191.71198.39286.20

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512m7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge6000M12000M18000M24000M30000MSE +/- 29763937.73, N = 3SE +/- 108274834.92, N = 3SE +/- 4399663.13, N = 3SE +/- 6214593.12, N = 326481506820222448041831470227057314384917863-m64-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenRadioss

Model: Chrysler Neon 1M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1Mm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa70140210280350SE +/- 0.61, N = 3SE +/- 1.48, N = 3SE +/- 2.03, N = 3190.79327.88337.70

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Secondm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge500K1000K1500K2000K2500KSE +/- 1437.63, N = 3SE +/- 9191.61, N = 3SE +/- 1295.68, N = 3SE +/- 635.29, N = 32158639.271730658.451445843.521259870.721. (CC) gcc options: -O2 -lrt" -lrt

libavif avifenc

Encoder Speed: 6

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6m7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge1.00512.01023.01534.02045.0255SE +/- 0.015, N = 3SE +/- 0.013, N = 3SE +/- 0.007, N = 3SE +/- 0.014, N = 32.6493.2053.2504.4671. (CXX) g++ options: -O3 -fPIC -lm

Rodinia

Test: OpenMP CFD Solver

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solverc6g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa3691215SE +/- 0.001, N = 3SE +/- 0.007, N = 3SE +/- 0.034, N = 3SE +/- 0.013, N = 35.9836.4807.36810.0251. (CXX) g++ options: -O2 -lOpenCL

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k Atomsm7a.16xlarget2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoa714212835SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 331.4726.7325.0619.78-lm-lm-lm1. (CXX) g++ options: -O3 -ldl

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.meshm7a.16xlarget2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoa90180270360450SE +/- 1.29, N = 3SE +/- 0.62, N = 3SE +/- 0.79, N = 3SE +/- 0.31, N = 3409.73364.64321.29259.551. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

libavif avifenc

Encoder Speed: 6, Lossless

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6, Losslessm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge246810SE +/- 0.008, N = 3SE +/- 0.099, N = 3SE +/- 0.031, N = 3SE +/- 0.032, N = 35.6786.8897.6398.8791. (CXX) g++ options: -O3 -fPIC -lm

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.36VGR Performance Metricm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa200K400K600K800K1000K7887046293635108191. (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

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigm7a.16xlarget2d-standard-60 AMD Milanc6g.16xlarge90180270360450SE +/- 0.37, N = 3SE +/- 1.20, N = 3SE +/- 2.41, N = 3267.97333.35409.10

Rodinia

Test: OpenMP LavaMD

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDm7a.16xlarget2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoa1428425670SE +/- 0.24, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 343.2950.9762.3064.861. (CXX) g++ options: -O2 -lOpenCL

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: Writesm7a.16xlargec3d-standard-60 AMD Genoac6g.16xlarget2d-standard-60 AMD Milan60K120K180K240K300KSE +/- 352.65, N = 3SE +/- 1129.40, N = 3SE +/- 3249.94, N = 12SE +/- 681.76, N = 3278585228640217355187169

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256m7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge13000M26000M39000M52000M65000MSE +/- 161718701.08, N = 3SE +/- 20491615.60, N = 3SE +/- 9562123.40, N = 3SE +/- 192235444.29, N = 362253861197508849971034621182131342288513973-m64-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

Timed Gem5 Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 21.2Time To Compilem7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge50100150200250SE +/- 0.39, N = 3SE +/- 0.27, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3153.80170.93176.77224.41

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: 128c6g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa306090120150SE +/- 0.11, N = 3SE +/- 1.44, N = 15SE +/- 0.78, N = 3SE +/- 0.52, N = 3129.17121.51109.6888.631. (CXX) g++ options: -O3

nginx

Connections: 1000

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000m7a.16xlargec3d-standard-60 AMD Genoac6g.16xlarget2d-standard-60 AMD Milan50K100K150K200K250KSE +/- 260.28, N = 3SE +/- 688.79, N = 3SE +/- 132.24, N = 3SE +/- 156.32, N = 3224859.09180537.84158700.36155609.041. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

nginx

Connections: 500

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge50K100K150K200K250KSE +/- 451.60, N = 3SE +/- 126.15, N = 3SE +/- 394.72, N = 3SE +/- 249.05, N = 3233014.72187350.44162957.75162553.851. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Ratingm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge70K140K210K280K350KSE +/- 400.99, N = 3SE +/- 388.74, N = 3SE +/- 346.51, N = 3SE +/- 359.95, N = 33306332789732717952397351. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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: 128c6g.16xlarget2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoa4080120160200SE +/- 0.57, N = 3SE +/- 0.82, N = 3SE +/- 2.16, N = 15SE +/- 2.19, N = 12202.45196.95190.60148.581. (CXX) g++ options: -O3

Rodinia

Test: OpenMP Leukocyte

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocytem7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa1020304050SE +/- 0.32, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 334.6642.0145.501. (CXX) g++ options: -O2 -lOpenCL

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: 400m7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa10M20M30M40M50MSE +/- 224779.59, N = 3SE +/- 221111.93, N = 3SE +/- 188621.29, N = 3445023333492589934762565

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: 400m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan10M20M30M40M50MSE +/- 99649.31, N = 3SE +/- 267152.12, N = 3SE +/- 354923.23, N = 3446993153535988435068557

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Barbershop - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milan80160240320400SE +/- 0.49, N = 3SE +/- 0.60, N = 3276.23351.58

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: 400m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan9M18M27M36M45MSE +/- 111073.27, N = 3SE +/- 66565.66, N = 3SE +/- 130588.20, N = 3426439033433223734123810

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Classroom - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milan20406080100SE +/- 0.01, N = 3SE +/- 0.07, N = 371.5189.35

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Ratingm7a.16xlarget2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoa60K120K180K240K300KSE +/- 342.37, N = 3SE +/- 347.74, N = 3SE +/- 57.33, N = 3SE +/- 519.21, N = 32825932472552340462262111. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Laghos

Test: Triple Point Problem

OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Triple Point Problemt2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac6g.16xlarge50100150200250SE +/- 1.77, N = 3SE +/- 1.67, N = 3SE +/- 0.22, N = 3SE +/- 0.50, N = 3222.30218.86209.00179.521. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: BMW27 - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milan816243240SE +/- 0.04, N = 3SE +/- 0.06, N = 327.7434.27

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: 400m7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa90180270360450SE +/- 4.92, N = 3SE +/- 4.08, N = 3SE +/- 2.14, N = 3340.11415.08418.59MAX: 37899.66MAX: 28810.4MAX: 31920.67

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: 400m7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa9M18M27M36M45MSE +/- 457186.43, N = 3SE +/- 303573.79, N = 3SE +/- 154587.14, N = 3408992103346680433268158

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Pabellon Barcelona - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milan306090120150SE +/- 0.08, N = 3SE +/- 0.03, N = 391.88112.64

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Fishy Cat - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milan1020304050SE +/- 0.10, N = 3SE +/- 0.13, N = 337.1245.22

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: 400m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan140280420560700SE +/- 0.65, N = 3SE +/- 3.18, N = 3SE +/- 12.58, N = 3521.98623.89633.58MAX: 34235.44MAX: 41831.2MAX: 54749.7

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 Milanm7a.16xlargec6g.16xlarge50100150200250SE +/- 1.44, N = 8SE +/- 0.59, N = 3SE +/- 6.00, N = 9172.72188.68210.611. (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 Milanm7a.16xlargec6g.16xlarge4080120160200SE +/- 1.23, N = 12SE +/- 0.39, N = 3SE +/- 3.85, N = 12140.92150.60168.191. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge2004006008001000SE +/- 0.06, N = 3SE +/- 0.29, N = 3SE +/- 7.79, N = 15SE +/- 0.55, N = 356.4183.91193.45947.86-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: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge60120180240300SE +/- 0.29, N = 3SE +/- 0.48, N = 3SE +/- 2.74, N = 15SE +/- 0.00, N = 3283.40142.9078.961.06-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.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge2004006008001000SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 9.17, N = 15SE +/- 0.37, N = 356.2183.99208.47947.59-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 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge60120180240300SE +/- 0.53, N = 3SE +/- 0.23, N = 3SE +/- 3.12, N = 15SE +/- 0.00, N = 3284.42142.7573.741.06-pie-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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 Milanm7a.16xlargec6g.16xlarge12002400360048006000SE +/- 49.93, N = 8SE +/- 16.57, N = 3SE +/- 124.50, N = 95793530047761. (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 Milanm7a.16xlargec6g.16xlarge12002400360048006000SE +/- 49.28, N = 12SE +/- 13.63, N = 3SE +/- 109.40, N = 125682531247841. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

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: 400m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan150300450600750SE +/- 4.86, N = 3SE +/- 7.53, N = 3SE +/- 25.87, N = 3598.49682.12709.46MAX: 62432.53MAX: 98294.84MAX: 113264.06

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: 400m7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa100200300400500SE +/- 7.15, N = 3SE +/- 35.57, N = 3SE +/- 27.08, N = 3355.13433.96447.68MAX: 67149.77MAX: 103381.73MAX: 95136.87

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total Timem7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge30M60M90M120M150MSE +/- 1001447.21, N = 3SE +/- 1618403.29, N = 14SE +/- 1450871.09, N = 3SE +/- 1645401.81, N = 1513541916911295878810589445781807706-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

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin Proteinm7a.16xlarget2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoa816243240SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.54, N = 1232.7927.8326.0417.42-lm-lm-lm1. (CXX) g++ options: -O3 -ldl

nekRS

Input: TurboPipe Periodic

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: TurboPipe Periodicm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge1000M2000M3000M4000M5000MSE +/- 6657808.28, N = 3SE +/- 201939132.13, N = 12SE +/- 481352.26, N = 3SE +/- 1790009.31, N = 347747966674723940000273062000022217100001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

nekRS

Input: Kershaw

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: Kershawm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge1600M3200M4800M6400M8000MSE +/- 49077561.86, N = 3SE +/- 57202190.49, N = 12SE +/- 84802173.02, N = 12SE +/- 2970005.61, N = 376678466674289858333368193583317588600001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

OpenRadioss

Model: Rubber O-Ring Seal Installation

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Rubber O-Ring Seal Installationm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa20406080100SE +/- 0.73, N = 3SE +/- 0.22, N = 3SE +/- 4.01, N = 1259.1872.0689.65

OpenRadioss

Model: Bird Strike on Windshield

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bird Strike on Windshieldm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa306090120150SE +/- 0.18, N = 3SE +/- 0.13, N = 3SE +/- 3.26, N = 9115.96123.61147.31

OpenRadioss

Model: Cell Phone Drop Test

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop Testm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa918273645SE +/- 0.08, N = 3SE +/- 0.39, N = 15SE +/- 1.27, N = 1526.1430.1238.82

OpenRadioss

Model: Bumper Beam

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bumper Beamm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa20406080100SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 1.56, N = 1566.2775.6892.87

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: 128m7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge306090120150SE +/- 1.18, N = 15SE +/- 0.91, N = 3SE +/- 1.78, N = 12SE +/- 0.71, N = 3124.36106.0393.6079.021. (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: 128m7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge1632486480SE +/- 0.63, N = 15SE +/- 0.66, N = 3SE +/- 1.29, N = 15SE +/- 0.10, N = 371.1160.0357.3132.361. (CXX) g++ options: -O3

Rodinia

Test: OpenMP Streamcluster

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamclusterm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge48121620SE +/- 0.049, N = 3SE +/- 0.009, N = 3SE +/- 0.104, N = 15SE +/- 0.017, N = 35.9306.4236.44814.2121. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP HotSpot3D

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3Dm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan20406080100SE +/- 0.74, N = 15SE +/- 0.86, N = 15SE +/- 1.83, N = 1274.7884.1788.541. (CXX) g++ options: -O2 -lOpenCL

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.Cm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge50K100K150K200K250KSE +/- 661.61, N = 3SE +/- 1463.52, N = 15SE +/- 293.57, N = 3SE +/- 7.52, N = 3210544.8794247.7773563.1318807.751. (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.Dm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge9001800270036004500SE +/- 3.14, N = 3SE +/- 36.45, N = 15SE +/- 142.62, N = 12SE +/- 0.58, N = 34085.202422.401752.62915.801. (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: CG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.Cm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge9K18K27K36K45KSE +/- 178.46, N = 3SE +/- 77.92, N = 3SE +/- 1215.82, N = 15SE +/- 23.52, N = 342007.5719597.8616649.3713343.351. (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

Phoronix Test Suite v10.8.4