GCE c3d-standard-60

KVM testing on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2310148-NE-2310093NE34
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c3d-standard-60 AMD Genoa
October 03 2023
  10 Hours, 30 Minutes
t2d-standard-60 AMD Milan
October 03 2023
  13 Hours, 23 Minutes
c6g.16xlarge
October 05 2023
  9 Hours, 27 Minutes
m7a.16xlarge
October 06 2023
  9 Hours, 1 Minute
c7g.16xlarge
October 08 2023
  6 Hours, 28 Minutes
c2d-standard-56
October 13 2023
  12 Hours, 50 Minutes
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  10 Hours, 17 Minutes

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GCE c3d-standard-60ProcessorMotherboardChipsetMemoryDiskNetworkOSKernelVulkanCompilerFile-SystemSystem Layerc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlargec7g.16xlargec2d-standard-56AMD 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)ARMv8 Neoverse-V1 (64 Cores)Amazon EC2 c7g.16xlarge (1.0 BIOS)Amazon Device 0200128GB5.19.0-1025-aws (aarch64)AMD EPYC 7B13 (28 Cores / 56 Threads)Google Compute Engine c2d-standard-56Intel 440FX 82441FX PMC224GB215GB PersistentDiskRed Hat Virtio device6.2.0-1014-gcp (x86_64)KVMOpenBenchmarking.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 - c7g.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 - c2d-standard-56: --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: 0xa10113e- c2d-standard-56: CPU Microcode: 0xffffffffJava Details- OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Details- Python 3.10.12Security Details- c3d-standard-60 AMD Genoa: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - t2d-standard-60 AMD Milan: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - c6g.16xlarge: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of CSV2 BHB + srbds: Not affected + tsx_async_abort: Not affected - 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 - c7g.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 - c2d-standard-56: 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: conditional RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlargec7g.16xlargec2d-standard-56Logarithmic Result OverviewPhoronix Test SuiteNAS Parallel BenchmarksOpenSSLnekRSGROMACSlibavif avifenclibxsmmRemhosXcompact3d Incompact3dRodiniaLAMMPS Molecular Dynamics SimulatorAlgebraic Multi-Grid BenchmarkOpenVINOTimed Node.js CompilationCoremarkApache CassandraStockfishnginxHeFFTe - Highly Efficient FFT for ExascaleTimed Gem5 CompilationLaghos7-Zip Compression

GCE c3d-standard-60npb: BT.Cnpb: CG.Cnpb: EP.Dnpb: FT.Cnpb: IS.Dnpb: LU.Cnpb: MG.Cnpb: SP.Crodinia: OpenMP LavaMDrodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusteramg: libxsmm: 32libxsmm: 64laghos: Triple Point Problemlaghos: Sedov Blast Wave, ube_922_hex.meshheffte: c2c - FFTW - float - 128heffte: r2c - FFTW - float - 128heffte: c2c - FFTW - double - 128heffte: r2c - FFTW - double - 128incompact3d: 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 Examplenekrs: Kershawnekrs: TurboPipe Periodiclammps: 20k Atomslammps: Rhodopsin Proteincoremark: CoreMark Size 666 - Iterations Per Secondcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingstockfish: Total Timeavifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessbuild-gem5: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-nodejs: Time To Compileopenssl: SHA256openssl: SHA512openssl: RSA4096openssl: RSA4096openssl: ChaCha20openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20-Poly1305apache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 800 - 400apache-iotdb: 800 - 100 - 800 - 400gromacs: MPI CPU - water_GMX50_barepgbench: 100 - 800 - Read Onlypgbench: 100 - 1000 - Read Onlypgbench: 100 - 800 - Read Writepgbench: 100 - 1000 - Read Writetensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - ResNet-50blender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUcassandra: Writesnginx: 500nginx: 1000brl-cad: VGR Performance Metricpgbench: 100 - 800 - Read Only - Average Latencypgbench: 100 - 1000 - Read Only - Average Latencypgbench: 100 - 800 - Read Write - Average Latencypgbench: 100 - 1000 - Read Write - Average Latencyc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlargec7g.16xlargec2d-standard-5696257.4819597.863783.6039647.472422.4073563.1342701.8339919.7164.86284.16645.49810.0256.448962889833255.4489.7209.00259.5588.6301148.57557.311693.60055.8715788528.019687792.87337.7038.82147.3189.6533.3624289858333472394000019.77617.4231445843.52155227179522621110589445778.06841.5383.2506.889176.767198.394462118213131470227057320079.5493077.617398094989334309528444029332804849712390930477333268158418.5934762565623.8934332237447.6835359884682.124.39150.9962.7469.6818.39648.81142.7583.99142.9083.911389.698.6235.19340.294166.392.87576.9420.772043.055.861875.2815.986605.124.53645.7418.56185.2964.703650.578.201764.216.79964.4631.0843607.040.52761.1439.3854971.260.4228640187350.44180537.84510819122720.6116649.374935.6854846.181752.6294247.7747291.9643228.1150.97488.53542.0107.3686.423920427767289.2554.2222.30364.64109.676196.94860.0343106.0295.6305732724.572118175.68327.8830.12123.6172.0616.3263681935833273062000026.73427.8281730658.44944027897324725511295878878.35041.9893.2057.639170.93033.399333.351191.706508849971032224480418312973.0860844.618024914577023460408261021602596764011964772033733466804415.0834925899633.5834123810433.9635068557709.465.289200378420081865682579318.2920.3620.9034.2789.3545.22351.58112.6410.731393.5673.74208.4778.96193.45368.3940.6726.28568.771285.4711.65225.4866.461512.579.901014.7014.764239.523.52565.3426.5096.58155.142646.5811.32633.7623.64370.0381.0029668.120.99390.7276.7244049.150.61187169162957.75155609.046293630.3990.498140.916172.71724229.1413343.352213.7621386.37915.8018807.7525661.049716.9962.3015.98314.2121032893667312.7589.5179.52321.29129.172202.44532.357579.01565.6181168625.874832820.8161758860000222171000025.05926.0411259870.71690223973523404681807706270.068167.9464.4678.879224.414102.216409.097286.20142288513973143849178632640.0215683.267324778360158788510970129198197600467151264872.7661043267975031478447760.19996.561.06947.591.06947.866.53153.120.0422391.8620.7948.082.61382.470.146990.108.39119.170.462186.810.156773.311.36735.585.50181.947.36135.872.53394.94178.825.582.36423.95136.167.33217355162553.85158700.360.7671.026168.191210.608193219.1242007.577501.76103413.024085.20210544.87121293.80102392.4043.28674.77834.6616.4805.9301843444333643.41201.8218.86409.73121.505190.60271.1095124.3632.8960266111.591308666.27190.7926.14115.9659.1813.8677667846667477479666731.47132.7852158639.27488333063328259313541916965.44735.8052.6495.678153.80027.709267.965154.441622538611972648150682031583.8996017.530830804508359254536274052211308052721677347553340899210340.1144502333521.9842643903355.1344699315598.497.655292300928809405312530069.5587.19100.1527.7471.5137.12276.2391.8831.72503.38284.4256.21283.4056.412417.346.6061.19261.117222.102.211049.6615.223666.894.353132.4810.1910382.223.071222.9913.07315.1450.726177.945.163146.045.071419.1122.5381996.810.381158.4327.6092100.800.27278585233014.72224859.097887040.2740.347150.601188.67638934.1522031.273648.4339830.181797.7628356.7049799.5717223.9543.9054.35311.4571767349000494.2785.0231.85409.66175.729291.96652.4779127.9853.1587883713.791938814.2583252166667399173666736.72537.4621608877.078630310517285523119502473170.587102.0813.1785.914179.99980.347316.005236.482544385551703204561682010181.1713624.4103234608683332345111983283187826230743065157634.19413143171298527534853420.185639.781.81554.281.81553.5211.1989.360.0812852.0833.2330.084.51221.500.253957.7414.3169.890.81255.020.263871.332.32431.909.09109.9910.1598.572.53395.91258.593.862.44410.00180.795.52316573254864.93255540.030.6090.770149.597187.18894143.8523089.422579.9247216.052190.3978848.0854301.2548423.5270.15790.73646.7419.3436.658981877267306.3581.1199.80239.48104.534164.72061.184699.64806.1440919225.415339198.45363.6036.84146.5669.4324.6438195293333543108333318.36918.0281212209.8192802304302081928401701988.81046.5413.8028.080192.60141.168452.748231.38439825794840131045990077181.4468650.61208253059531295487666871184025957408222127964333395968408.1335460713629.0034625899414.4035377376679.863.951150998714944455702582020.0021.4821.8249.01125.7359.22468.20150.067.251914.2782.47169.5782.47169.62701.0019.9416.03868.352215.746.30322.2743.391089.8312.83689.5620.283195.584.36466.4129.9993.23149.971581.2317.691022.8113.66280.2699.8121951.031.25301.6092.7735877.140.6178227160196.24161127.094107380.5300.669140.410171.947OpenBenchmarking.org

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.Cm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c7g.16xlargec6g.16xlarge40K80K120K160K200KSE +/- 560.75, N = 3SE +/- 42.77, N = 3SE +/- 122.23, N = 3SE +/- 80.45, N = 3SE +/- 19.48, N = 3SE +/- 7.69, N = 3193219.12122720.6196257.4894143.8538934.1524229.141. (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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.Cm7a.16xlargec2d-standard-56c7g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge9K18K27K36K45KSE +/- 178.46, N = 3SE +/- 206.16, N = 7SE +/- 25.33, N = 3SE +/- 77.92, N = 3SE +/- 1215.82, N = 15SE +/- 23.52, N = 342007.5723089.4222031.2719597.8616649.3713343.351. (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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.Dm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac7g.16xlargec2d-standard-56c6g.16xlarge16003200480064008000SE +/- 8.54, N = 3SE +/- 51.21, N = 5SE +/- 30.67, N = 3SE +/- 25.41, N = 13SE +/- 36.32, N = 3SE +/- 7.28, N = 37501.764935.683783.603648.432579.922213.761. (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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.Cm7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec3d-standard-60 AMD Genoac6g.16xlarge20K40K60K80K100KSE +/- 446.85, N = 3SE +/- 137.77, N = 3SE +/- 57.93, N = 3SE +/- 13.54, N = 3SE +/- 600.19, N = 15SE +/- 2.85, N = 3103413.0254846.1847216.0539830.1839647.4721386.371. (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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.Dm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56c7g.16xlarget2d-standard-60 AMD Milanc6g.16xlarge9001800270036004500SE +/- 3.14, N = 3SE +/- 36.45, N = 15SE +/- 3.14, N = 3SE +/- 1.25, N = 3SE +/- 142.62, N = 12SE +/- 0.58, N = 34085.202422.402190.391797.761752.62915.801. (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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.Cm7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoac7g.16xlargec6g.16xlarge50K100K150K200K250KSE +/- 661.61, N = 3SE +/- 1463.52, N = 15SE +/- 22.13, N = 3SE +/- 293.57, N = 3SE +/- 30.15, N = 3SE +/- 7.52, N = 3210544.8794247.7778848.0873563.1328356.7018807.751. (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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.Cm7a.16xlargec2d-standard-56c7g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge30K60K90K120K150KSE +/- 526.14, N = 3SE +/- 99.78, N = 3SE +/- 10.47, N = 3SE +/- 145.06, N = 3SE +/- 29.69, N = 3SE +/- 10.99, N = 3121293.8054301.2549799.5747291.9642701.8325661.041. (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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.Cm7a.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac7g.16xlargec6g.16xlarge20K40K60K80K100KSE +/- 91.17, N = 3SE +/- 113.84, N = 3SE +/- 555.92, N = 3SE +/- 45.01, N = 3SE +/- 40.05, N = 3SE +/- 0.76, N = 3102392.4048423.5243228.1139919.7117223.959716.991. (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

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDm7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoac2d-standard-561632486480SE +/- 0.24, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 0.13, N = 343.2943.9150.9762.3064.8670.161. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3Dm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-5620406080100SE +/- 0.74, N = 15SE +/- 0.86, N = 15SE +/- 1.83, N = 12SE +/- 1.43, N = 1574.7884.1788.5490.741. (CXX) g++ options: -O2 -lOpenCL

Test: OpenMP HotSpot3D

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

c7g.16xlarge: The test quit with a non-zero exit status.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocytem7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-561122334455SE +/- 0.32, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.24, N = 334.6642.0145.5046.741. (CXX) g++ options: -O2 -lOpenCL

Test: OpenMP Leukocyte

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

c7g.16xlarge: The test quit with a non-zero exit status.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solverc7g.16xlargec6g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoa3691215SE +/- 0.011, N = 3SE +/- 0.001, N = 3SE +/- 0.007, N = 3SE +/- 0.034, N = 3SE +/- 0.013, N = 3SE +/- 0.013, N = 34.3535.9836.4807.3689.34310.0251. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamclusterm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c7g.16xlargec6g.16xlarge48121620SE +/- 0.049, N = 3SE +/- 0.009, N = 3SE +/- 0.104, N = 15SE +/- 0.009, N = 3SE +/- 0.124, N = 3SE +/- 0.017, N = 35.9306.4236.4486.65811.45714.2121. (CXX) g++ options: -O2 -lOpenCL

Algebraic Multi-Grid Benchmark

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

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2m7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-56c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan400M800M1200M1600M2000MSE +/- 1428129.35, N = 3SE +/- 536620.29, N = 3SE +/- 176147.98, N = 3SE +/- 999273.29, N = 3SE +/- 2060519.90, N = 3SE +/- 1088162.98, N = 31843444333176734900010328936679818772679628898339204277671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

libxsmm

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

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 32m7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa140280420560700SE +/- 0.40, N = 3SE +/- 0.07, N = 3SE +/- 0.47, N = 3SE +/- 0.38, N = 3SE +/- 3.60, N = 4SE +/- 0.19, N = 3643.4494.2312.7306.3289.2255.4-lquadmath -msse4.2-march=armv8.1-a-march=armv8.1-a-lquadmath -msse4.2-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

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64m7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa30060090012001500SE +/- 0.52, N = 3SE +/- 0.03, N = 3SE +/- 0.96, N = 3SE +/- 1.99, N = 3SE +/- 0.25, N = 3SE +/- 0.12, N = 31201.8785.0589.5581.1554.2489.7-lquadmath -msse4.2-march=armv8.1-a-march=armv8.1-a-lquadmath -msse4.2-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

Laghos

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

OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Triple Point Problemc7g.16xlarget2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56c6g.16xlarge50100150200250SE +/- 0.90, N = 3SE +/- 1.77, N = 3SE +/- 1.67, N = 3SE +/- 0.22, N = 3SE +/- 0.61, N = 3SE +/- 0.50, N = 3231.85222.30218.86209.00199.80179.521. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Sedov Blast Wave, ube_922_hex.meshm7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5690180270360450SE +/- 1.29, N = 3SE +/- 0.57, N = 3SE +/- 0.62, N = 3SE +/- 0.79, N = 3SE +/- 0.31, N = 3SE +/- 0.02, N = 3409.73409.66364.64321.29259.55239.481. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

HeFFTe - Highly Efficient FFT for Exascale

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

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128c7g.16xlargec6g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoa4080120160200SE +/- 0.44, N = 3SE +/- 0.11, N = 3SE +/- 1.44, N = 15SE +/- 0.78, N = 3SE +/- 1.06, N = 3SE +/- 0.52, N = 3175.73129.17121.51109.68104.5388.631. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128c7g.16xlargec6g.16xlarget2d-standard-60 AMD Milanm7a.16xlargec2d-standard-56c3d-standard-60 AMD Genoa60120180240300SE +/- 0.59, N = 3SE +/- 0.57, N = 3SE +/- 0.82, N = 3SE +/- 2.16, N = 15SE +/- 1.51, N = 6SE +/- 2.19, N = 12291.97202.45196.95190.60164.72148.581. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128m7a.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac7g.16xlargec6g.16xlarge1632486480SE +/- 0.63, N = 15SE +/- 0.78, N = 15SE +/- 0.66, N = 3SE +/- 1.29, N = 15SE +/- 0.00, N = 3SE +/- 0.10, N = 371.1161.1860.0357.3152.4832.361. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128c7g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoac6g.16xlarge306090120150SE +/- 0.10, N = 3SE +/- 1.18, N = 15SE +/- 0.91, N = 3SE +/- 1.39, N = 3SE +/- 1.78, N = 12SE +/- 0.71, N = 3127.99124.36106.0399.6593.6079.021. (CXX) g++ options: -O3

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Directionm7a.16xlargec7g.16xlargec6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56246810SE +/- 0.03993251, N = 3SE +/- 0.01236463, N = 3SE +/- 0.01888616, N = 3SE +/- 0.02210564, N = 3SE +/- 0.04970425, N = 3SE +/- 0.02575719, N = 32.896026613.158788375.618116865.630573275.871578856.144091921. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Directionm7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc2d-standard-56c6g.16xlargec3d-standard-60 AMD Genoa714212835SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.31, N = 12SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.25, N = 311.5913.7924.5725.4225.8728.021. (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

OpenRadioss

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bumper Beamm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-5620406080100SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 1.56, N = 15SE +/- 0.85, N = 366.2775.6892.8798.45

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1Mm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-5680160240320400SE +/- 0.61, N = 3SE +/- 1.48, N = 3SE +/- 2.03, N = 3SE +/- 0.14, N = 3190.79327.88337.70363.60

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop Testm7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoa918273645SE +/- 0.08, N = 3SE +/- 0.39, N = 15SE +/- 0.12, N = 3SE +/- 1.27, N = 1526.1430.1236.8438.82

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bird Strike on Windshieldm7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoa306090120150SE +/- 0.18, N = 3SE +/- 0.13, N = 3SE +/- 0.41, N = 3SE +/- 3.26, N = 9115.96123.61146.56147.31

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Rubber O-Ring Seal Installationm7a.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa20406080100SE +/- 0.73, N = 3SE +/- 0.24, N = 3SE +/- 0.22, N = 3SE +/- 4.01, N = 1259.1869.4372.0689.65

Model: INIVOL and Fluid Structure Interaction Drop Container

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

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

m7a.16xlarge: The test run did not produce a result. E: ** ERROR: INPUT FILE /fsi_drop_container_0001.rad NOT FOUND

c2d-standard-56: The test run did not produce a result. E: ** ERROR: INPUT FILE /fsi_drop_container NOT FOUND

Remhos

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRemhos 1.0Test: Sample Remap Examplem7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc6g.16xlargec2d-standard-56c3d-standard-60 AMD Genoa816243240SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 313.8714.2616.3320.8224.6433.361. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

nekRS

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

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: Kershawc2d-standard-56m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge2000M4000M6000M8000M10000MSE +/- 88231529.95, N = 3SE +/- 49077561.86, N = 3SE +/- 57202190.49, N = 12SE +/- 84802173.02, N = 12SE +/- 2525353.66, N = 3SE +/- 2970005.61, N = 38195293333766784666742898583333681935833325216666717588600001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: TurboPipe Periodicc2d-standard-56m7a.16xlargec3d-standard-60 AMD Genoac7g.16xlarget2d-standard-60 AMD Milanc6g.16xlarge1200M2400M3600M4800M6000MSE +/- 4494968.79, N = 3SE +/- 6657808.28, N = 3SE +/- 201939132.13, N = 12SE +/- 1792766.33, N = 3SE +/- 481352.26, N = 3SE +/- 1790009.31, N = 35431083333477479666747239400003991736667273062000022217100001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

LAMMPS Molecular Dynamics Simulator

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

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k Atomsc7g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56816243240SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 336.7331.4726.7325.0619.7818.37-lm-lm-lm-lm1. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin Proteinc7g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc6g.16xlargec2d-standard-56c3d-standard-60 AMD Genoa918273645SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.54, N = 1237.4632.7927.8326.0418.0317.42-lm-lm-lm-lm1. (CXX) g++ options: -O3 -ldl

Coremark

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

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Secondm7a.16xlarget2d-standard-60 AMD Milanc7g.16xlargec3d-standard-60 AMD Genoac6g.16xlargec2d-standard-56500K1000K1500K2000K2500KSE +/- 1437.63, N = 3SE +/- 9191.61, N = 3SE +/- 11587.63, N = 15SE +/- 1295.68, N = 3SE +/- 635.29, N = 3SE +/- 833.48, N = 32158639.271730658.451608877.081445843.521259870.721212209.821. (CC) gcc options: -O2 -lrt" -lrt

7-Zip Compression

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

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Ratingm7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlargec2d-standard-5670K140K210K280K350KSE +/- 400.99, N = 3SE +/- 291.75, N = 3SE +/- 388.74, N = 3SE +/- 346.51, N = 3SE +/- 359.95, N = 3SE +/- 214.91, N = 33306333105172789732717952397352304301. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Ratingc7g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5660K120K180K240K300KSE +/- 141.62, N = 3SE +/- 342.37, N = 3SE +/- 347.74, N = 3SE +/- 57.33, N = 3SE +/- 519.21, N = 3SE +/- 140.45, N = 32855232825932472552340462262112081921. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Stockfish

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

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total Timem7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c6g.16xlarge30M60M90M120M150MSE +/- 1001447.21, N = 3SE +/- 1921303.63, N = 15SE +/- 1618403.29, N = 14SE +/- 1450871.09, N = 3SE +/- 705199.36, N = 15SE +/- 1645401.81, N = 151354191691195024731129587881058944578401701981807706-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 -mbmi2-m64 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi21. (CXX) g++ options: -lgcov -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -flto -flto=jobserver

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 0m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge60120180240300SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.31, N = 3SE +/- 0.42, N = 3SE +/- 0.34, N = 365.4578.0778.3588.81170.59270.071. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 2m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge4080120160200SE +/- 0.22, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.22, N = 335.8141.5441.9946.54102.08167.951. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6m7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c6g.16xlarge1.00512.01023.01534.02045.0255SE +/- 0.015, N = 3SE +/- 0.004, N = 3SE +/- 0.013, N = 3SE +/- 0.007, N = 3SE +/- 0.010, N = 3SE +/- 0.014, N = 32.6493.1783.2053.2503.8024.4671. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6, Losslessm7a.16xlargec7g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c6g.16xlarge246810SE +/- 0.008, N = 3SE +/- 0.009, N = 3SE +/- 0.099, N = 3SE +/- 0.031, N = 3SE +/- 0.015, N = 3SE +/- 0.032, N = 35.6785.9146.8897.6398.0808.8791. (CXX) g++ options: -O3 -fPIC -lm

Timed Gem5 Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 21.2Time To Compilem7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac7g.16xlargec2d-standard-56c6g.16xlarge50100150200250SE +/- 0.39, N = 3SE +/- 0.27, N = 3SE +/- 0.07, N = 3SE +/- 0.25, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3153.80170.93176.77180.00192.60224.41

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigm7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge20406080100SE +/- 0.29, N = 5SE +/- 0.37, N = 5SE +/- 0.54, N = 3SE +/- 0.65, N = 3SE +/- 0.82, N = 327.7133.4041.1780.35102.22

Build: defconfig

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigm7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc6g.16xlargec2d-standard-56100200300400500SE +/- 0.37, N = 3SE +/- 0.81, N = 3SE +/- 1.20, N = 3SE +/- 2.41, N = 3SE +/- 1.50, N = 3267.97316.01333.35409.10452.75

Build: allmodconfig

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

Timed Node.js Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To Compilem7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c7g.16xlargec6g.16xlarge60120180240300SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.29, N = 3SE +/- 0.26, N = 3SE +/- 0.31, N = 3SE +/- 0.11, N = 3154.44191.71198.39231.38236.48286.20

OpenSSL

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

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256m7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlargec2d-standard-5613000M26000M39000M52000M65000MSE +/- 161718701.08, N = 3SE +/- 1709212.75, N = 3SE +/- 20491615.60, N = 3SE +/- 9562123.40, N = 3SE +/- 192235444.29, N = 3SE +/- 7310870.38, N = 3622538611975443855517050884997103462118213134228851397339825794840-m64 -lssl -lcrypto-lssl -lcrypto-m64 -lssl -lcrypto-m64 -lssl -lcrypto-lssl -lcrypto-m641. (CC) gcc options: -pthread -O3 -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512c7g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlargec2d-standard-567000M14000M21000M28000M35000MSE +/- 9797429.91, N = 3SE +/- 29763937.73, N = 3SE +/- 108274834.92, N = 3SE +/- 4399663.13, N = 3SE +/- 6214593.12, N = 3SE +/- 631939.37, N = 3320456168202648150682022244804183147022705731438491786313104599007-lssl -lcrypto-m64 -lssl -lcrypto-m64 -lssl -lcrypto-m64 -lssl -lcrypto-lssl -lcrypto-m641. (CC) gcc options: -pthread -O3 -ldl

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc7g.16xlargec2d-standard-56c6g.16xlarge7K14K21K28K35KSE +/- 24.57, N = 3SE +/- 14.62, N = 3SE +/- 11.58, N = 3SE +/- 1.56, N = 3SE +/- 0.44, N = 3SE +/- 0.09, N = 331583.820079.512973.010181.17181.42640.0-m64 -lssl -lcrypto-m64 -lssl -lcrypto-m64 -lssl -lcrypto-lssl -lcrypto-m641. (CC) gcc options: -pthread -O3 -ldl

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096m7a.16xlarget2d-standard-60 AMD Milanc7g.16xlargec3d-standard-60 AMD Genoac2d-standard-56c6g.16xlarge200K400K600K800K1000KSE +/- 367.82, N = 3SE +/- 644.45, N = 3SE +/- 189.99, N = 3SE +/- 50.91, N = 3SE +/- 418.00, N = 3SE +/- 6.55, N = 3996017.5860844.6713624.4493077.6468650.6215683.2-m64 -lssl -lcrypto-m64 -lssl -lcrypto-lssl -lcrypto-m64 -lssl -lcrypto-m64-lssl -lcrypto1. (CC) gcc options: -pthread -O3 -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20m7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c7g.16xlargec6g.16xlarge70000M140000M210000M280000M350000MSE +/- 280681661.27, N = 3SE +/- 47698640.87, N = 3SE +/- 12326205.97, N = 3SE +/- 13175767.44, N = 3SE +/- 926708.87, N = 3SE +/- 372419.81, N = 330830804508318024914577017398094989312082530595310323460868367324778360-m64 -lssl -lcrypto-m64 -lssl -lcrypto-m64 -lssl -lcrypto-m64-lssl -lcrypto1. (CC) gcc options: -pthread -O3 -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMm7a.16xlargec3d-standard-60 AMD Genoac7g.16xlarget2d-standard-60 AMD Milanc6g.16xlargec2d-standard-56130000M260000M390000M520000M650000MSE +/- 1818538727.73, N = 3SE +/- 342949201.09, N = 3SE +/- 38386470.30, N = 3SE +/- 376720190.05, N = 3SE +/- 5537993.15, N = 3SE +/- 2205754.73, N = 3592545362740343095284440332345111983234604082610158788510970129548766687-m64 -lssl -lcrypto-m64 -lssl -lcrypto-lssl -lcrypto-m64 -lssl -lcrypto1. (CC) gcc options: -pthread -O3 -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMm7a.16xlargec3d-standard-60 AMD Genoac7g.16xlarget2d-standard-60 AMD Milanc6g.16xlargec2d-standard-56110000M220000M330000M440000M550000MSE +/- 1691817104.57, N = 3SE +/- 71241287.97, N = 3SE +/- 10793448.32, N = 3SE +/- 178290221.71, N = 3SE +/- 2100313.05, N = 3SE +/- 18032723.86, N = 3522113080527293328048497283187826230216025967640129198197600118402595740-m64 -lssl -lcrypto-m64 -lssl -lcrypto-lssl -lcrypto-m64 -lssl -lcrypto1. (CC) gcc options: -pthread -O3 -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge50000M100000M150000M200000M250000MSE +/- 85099636.22, N = 3SE +/- 3664727.47, N = 3SE +/- 198663058.81, N = 3SE +/- 25534569.58, N = 3SE +/- 814473.51, N = 3SE +/- 2259404.37, N = 3216773475533123909304773119647720337822212796437430651576346715126487-m64 -lssl -lcrypto-m64 -lssl -lcrypto-m64 -lssl -lcrypto-m64-lssl -lcrypto1. (CC) gcc options: -pthread -O3 -ldl

Apache IoTDB

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

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400m7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoa9M18M27M36M45MSE +/- 457186.43, N = 3SE +/- 303573.79, N = 3SE +/- 247504.71, N = 3SE +/- 154587.14, N = 340899210334668043339596833268158

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

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

c7g.16xlarge: The test quit with a non-zero exit status.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400m7a.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa90180270360450SE +/- 4.92, N = 3SE +/- 2.53, N = 3SE +/- 4.08, N = 3SE +/- 2.14, N = 3340.11408.13415.08418.59MAX: 37899.66MAX: 33039.23MAX: 28810.4MAX: 31920.67

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

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

c7g.16xlarge: The test quit with a non-zero exit status.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400m7a.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa10M20M30M40M50MSE +/- 224779.59, N = 3SE +/- 80227.43, N = 3SE +/- 221111.93, N = 3SE +/- 188621.29, N = 344502333354607133492589934762565

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

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

c7g.16xlarge: The test quit with a non-zero exit status.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400m7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milan140280420560700SE +/- 0.65, N = 3SE +/- 3.18, N = 3SE +/- 13.51, N = 3SE +/- 12.58, N = 3521.98623.89629.00633.58MAX: 34235.44MAX: 41831.2MAX: 48846.34MAX: 54749.7

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

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

c7g.16xlarge: The test quit with a non-zero exit status.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400m7a.16xlargec2d-standard-56c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan9M18M27M36M45MSE +/- 111073.27, N = 3SE +/- 177230.11, N = 3SE +/- 66565.66, N = 3SE +/- 130588.20, N = 342643903346258993433223734123810

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

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

c7g.16xlarge: The test quit with a non-zero exit status.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400m7a.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa100200300400500SE +/- 7.15, N = 3SE +/- 4.37, N = 3SE +/- 35.57, N = 3SE +/- 27.08, N = 3355.13414.40433.96447.68MAX: 67149.77MAX: 91109.59MAX: 103381.73MAX: 95136.87

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

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

c7g.16xlarge: The test quit with a non-zero exit status.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400m7a.16xlargec2d-standard-56c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan10M20M30M40M50MSE +/- 99649.31, N = 3SE +/- 248722.01, N = 3SE +/- 267152.12, N = 3SE +/- 354923.23, N = 344699315353773763535988435068557

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

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

c7g.16xlarge: The test quit with a non-zero exit status.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400m7a.16xlargec2d-standard-56c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan150300450600750SE +/- 4.86, N = 3SE +/- 1.38, N = 3SE +/- 7.53, N = 3SE +/- 25.87, N = 3598.49679.86682.12709.46MAX: 62432.53MAX: 79453.07MAX: 98294.84MAX: 113264.06

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

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

c7g.16xlarge: The test quit with a non-zero exit status.

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_barem7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac7g.16xlargec2d-standard-56c6g.16xlarge246810SE +/- 0.035, N = 3SE +/- 0.005, N = 3SE +/- 0.011, N = 3SE +/- 0.003, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 37.6555.2894.3914.1943.9512.7661. (CXX) g++ options: -O3

PostgreSQL

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge600K1200K1800K2400K3000KSE +/- 13309.30, N = 3SE +/- 20558.90, N = 3SE +/- 20718.28, N = 3SE +/- 14241.12, N = 3SE +/- 12058.27, N = 3292300920037841509987131431710432671. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

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

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge600K1200K1800K2400K3000KSE +/- 2874.04, N = 3SE +/- 22497.42, N = 3SE +/- 9220.12, N = 3SE +/- 11830.85, N = 3SE +/- 12606.16, N = 328809402008186149444512985279750311. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

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

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Writec2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargem7a.16xlargec6g.16xlarge12002400360048006000SE +/- 47.23, N = 12SE +/- 49.28, N = 12SE +/- 29.72, N = 3SE +/- 13.63, N = 3SE +/- 109.40, N = 12570256825348531247841. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

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

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Writec2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargem7a.16xlargec6g.16xlarge12002400360048006000SE +/- 50.46, N = 12SE +/- 49.93, N = 8SE +/- 23.65, N = 3SE +/- 16.57, N = 3SE +/- 124.50, N = 9582057935342530047761. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

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

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

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50m7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milan1530456075SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 369.5550.9920.0018.29

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

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

c7g.16xlarge: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'absl'

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50m7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milan20406080100SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 387.1962.7421.4820.36

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

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

c7g.16xlarge: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'absl'

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50m7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milan20406080100SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3100.1569.6821.8220.90

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

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

c7g.16xlarge: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'absl'

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: BMW27 - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-561122334455SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 327.7434.2749.01

Blend File: BMW27 - Compute: CPU-Only

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Classroom - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56306090120150SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 371.5189.35125.73

Blend File: Classroom - Compute: CPU-Only

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Fishy Cat - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-561326395265SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 337.1245.2259.22

Blend File: Fishy Cat - Compute: CPU-Only

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Barbershop - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56100200300400500SE +/- 0.49, N = 3SE +/- 0.60, N = 3SE +/- 0.71, N = 3276.23351.58468.20

Blend File: Barbershop - Compute: CPU-Only

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Pabellon Barcelona - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56306090120150SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 391.88112.64150.06

Blend File: Pabellon Barcelona - Compute: CPU-Only

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

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 331.7218.3910.737.250.180.10-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge2K4K6K8K10KSE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 1.32, N = 3SE +/- 3.85, N = 3SE +/- 1.45, N = 3SE +/- 1.02, N = 3503.38648.811393.561914.275639.789996.56-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 1788.62 / MAX: 2033.22-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 5635.22 / MAX: 5646.39-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 9993.58 / MAX: 10001.761. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge60120180240300SE +/- 0.53, N = 3SE +/- 0.23, N = 3SE +/- 0.13, N = 3SE +/- 3.12, N = 15SE +/- 0.00, N = 3SE +/- 0.00, N = 3284.42142.7582.4773.741.811.06-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge2004006008001000SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.29, N = 3SE +/- 9.17, N = 15SE +/- 0.71, N = 3SE +/- 0.37, N = 356.2183.99169.57208.47554.28947.59-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 94.4 / MAX: 218.7-pie - MIN: 119.65 / MAX: 316.01-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 550.22 / MAX: 563.55-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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge60120180240300SE +/- 0.29, N = 3SE +/- 0.48, N = 3SE +/- 0.14, N = 3SE +/- 2.74, N = 15SE +/- 0.00, N = 3SE +/- 0.00, N = 3283.40142.9082.4778.961.811.06-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge2004006008001000SE +/- 0.06, N = 3SE +/- 0.29, N = 3SE +/- 0.29, N = 3SE +/- 7.79, N = 15SE +/- 0.11, N = 3SE +/- 0.55, N = 356.4183.91169.62193.45553.52947.86-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 104.86 / MAX: 209.35-pie - MIN: 113.44 / MAX: 315.54-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 549.89 / MAX: 562.06-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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge5001000150020002500SE +/- 1.65, N = 3SE +/- 6.33, N = 3SE +/- 0.69, N = 3SE +/- 1.55, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32417.341389.69701.00368.3911.196.53-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge306090120150SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 36.608.6219.9440.6789.36153.12-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 10.34 / MAX: 37.94-pie - MIN: 12.07 / MAX: 59.44-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 88.98 / MAX: 90.65-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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge1428425670SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 361.1935.1926.2816.030.080.04-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge5K10K15K20K25KSE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 0.35, N = 3SE +/- 0.38, N = 3SE +/- 5.72, N = 3SE +/- 15.60, N = 3261.11340.29568.77868.3512852.0822391.86-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 12821.62 / MAX: 12882.02-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 22364.17 / MAX: 22423.421. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge15003000450060007500SE +/- 4.07, N = 3SE +/- 8.74, N = 3SE +/- 3.06, N = 3SE +/- 15.96, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 37222.104166.392215.741285.4733.2320.79-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge1122334455SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 32.212.876.3011.6530.0848.08-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 3.57 / MAX: 21.5-pie - MIN: 3.76 / MAX: 29.1-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 29.37 / MAX: 32.17-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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge2004006008001000SE +/- 0.11, N = 3SE +/- 1.04, N = 3SE +/- 2.90, N = 3SE +/- 0.93, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31049.66576.94322.27225.484.512.61-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge80160240320400SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.39, N = 3SE +/- 0.27, N = 3SE +/- 0.13, N = 3SE +/- 0.20, N = 315.2220.7743.3966.46221.50382.47-pie - MIN: 25.85 / MAX: 122.2-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 220.78 / MAX: 223.35-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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge8001600240032004000SE +/- 1.69, N = 3SE +/- 3.16, N = 3SE +/- 1.12, N = 3SE +/- 1.05, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 153666.892043.051512.571089.830.250.14-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge15003000450060007500SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 1.04, N = 3SE +/- 27.09, N = 154.355.869.9012.833957.746990.10-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 3952.99 / MAX: 3967.18-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6842.82 / MAX: 7088.531. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge7001400210028003500SE +/- 0.31, N = 3SE +/- 0.47, N = 3SE +/- 0.56, N = 3SE +/- 0.77, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33132.481875.281014.70689.5614.318.39-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c7g.16xlargec6g.16xlarge306090120150SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 310.1914.7615.9820.2869.89119.17-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 14.46 / MAX: 30.6-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 69.44 / MAX: 71.41-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 118.73 / MAX: 120.211. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge2K4K6K8K10KSE +/- 3.60, N = 3SE +/- 6.52, N = 3SE +/- 2.08, N = 3SE +/- 2.82, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 310382.226605.124239.523195.580.800.46-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUm7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoac7g.16xlargec6g.16xlarge5001000150020002500SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.23, N = 3SE +/- 27.29, N = 33.073.524.364.531255.022186.81-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 1251.83 / MAX: 1261.9-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 2135.06 / MAX: 2233.341. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge30060090012001500SE +/- 0.51, N = 3SE +/- 0.79, N = 3SE +/- 0.37, N = 3SE +/- 1.07, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31222.99645.74565.34466.410.260.15-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge15003000450060007500SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.51, N = 3SE +/- 76.95, N = 313.0718.5626.5029.993871.336773.31-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 3868.49 / MAX: 3876.89-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6616.83 / MAX: 6859.991. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge70140210280350SE +/- 0.11, N = 3SE +/- 0.25, N = 3SE +/- 0.37, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3315.14185.2996.5893.232.321.36-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge160320480640800SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.58, N = 3SE +/- 0.24, N = 3SE +/- 0.26, N = 350.7264.70149.97155.14431.90735.58-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 81.05 / MAX: 193.4-pie - MIN: 114.75 / MAX: 224.64-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 430.12 / MAX: 435.25-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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge13002600390052006500SE +/- 4.43, N = 3SE +/- 3.28, N = 3SE +/- 3.26, N = 3SE +/- 0.68, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 36177.943650.572646.581581.239.095.50-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge4080120160200SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.24, N = 35.168.2011.3217.69109.99181.94-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 108.37 / MAX: 112.83-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 180.71 / MAX: 184.111. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge7001400210028003500SE +/- 1.10, N = 3SE +/- 4.38, N = 3SE +/- 1.21, N = 3SE +/- 3.66, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 33146.041764.211022.81633.7610.157.36-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge306090120150SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 3SE +/- 0.21, N = 35.076.7913.6623.6498.57135.87-pie - MIN: 9.57 / MAX: 42.22-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 94.4 / MAX: 118.88-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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge30060090012001500SE +/- 0.70, N = 3SE +/- 0.60, N = 3SE +/- 0.96, N = 3SE +/- 0.37, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 31419.11964.46370.03280.262.532.53-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c6g.16xlargec7g.16xlarge90180270360450SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.21, N = 3SE +/- 0.13, N = 3SE +/- 2.18, N = 3SE +/- 1.65, N = 322.5331.0881.0099.81394.94395.91-pie - MIN: 64.65 / MAX: 134.64-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 55.12 / MAX: 150.04-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 380.82 / MAX: 408.15-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 380.35 / MAX: 415.381. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge20K40K60K80K100KSE +/- 31.79, N = 3SE +/- 18.42, N = 3SE +/- 14.46, N = 3SE +/- 3.74, N = 3SE +/- 0.88, N = 3SE +/- 0.39, N = 381996.8143607.0429668.1221951.03258.59178.82-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge1.25552.5113.76655.0226.2775SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 30.380.520.991.253.865.58-pie - MIN: 0.8 / MAX: 13.76-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 0.71 / MAX: 15.89-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 3.63 / MAX: 5.36-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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge2004006008001000SE +/- 0.18, N = 3SE +/- 1.75, N = 3SE +/- 1.37, N = 3SE +/- 2.14, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 31158.43761.14390.72301.602.442.36-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge90180270360450SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.27, N = 3SE +/- 0.65, N = 3SE +/- 3.34, N = 3SE +/- 0.26, N = 327.6039.3876.7292.77410.00423.95-pie - MIN: 58.8 / MAX: 121.69-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 51.49 / MAX: 118.72-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 391.1 / MAX: 424.93-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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge20K40K60K80K100KSE +/- 453.62, N = 3SE +/- 45.46, N = 3SE +/- 332.93, N = 3SE +/- 26.90, N = 3SE +/- 0.71, N = 3SE +/- 0.48, N = 392100.8054971.2644049.1535877.14180.79136.16-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 30.270.400.600.615.527.33-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 4.5 / MAX: 9.53-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

Apache Cassandra

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

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: Writesc7g.16xlargem7a.16xlargec3d-standard-60 AMD Genoac6g.16xlarget2d-standard-60 AMD Milanc2d-standard-5670K140K210K280K350KSE +/- 2261.70, N = 3SE +/- 352.65, N = 3SE +/- 1129.40, N = 3SE +/- 3249.94, N = 12SE +/- 681.76, N = 3SE +/- 1718.54, N = 3316573278585228640217355187169178227

nginx

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

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500c7g.16xlargem7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargec2d-standard-5650K100K150K200K250KSE +/- 757.47, N = 3SE +/- 451.60, N = 3SE +/- 126.15, N = 3SE +/- 394.72, N = 3SE +/- 249.05, N = 3SE +/- 513.44, N = 3254864.93233014.72187350.44162957.75162553.85160196.241. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000c7g.16xlargem7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56c6g.16xlarget2d-standard-60 AMD Milan50K100K150K200K250KSE +/- 141.46, N = 3SE +/- 260.28, N = 3SE +/- 688.79, N = 3SE +/- 157.70, N = 3SE +/- 132.24, N = 3SE +/- 156.32, N = 3255540.03224859.09180537.84161127.09158700.36155609.041. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

BRL-CAD

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

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.36VGR Performance Metricm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56200K400K600K800K1000K7887046293635108194107381. (CXX) g++ options: -std=c++14 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lregex_brl -lz_brl -lnetpbm -ldl -lm -ltk8.6

VGR Performance Metric

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

c7g.16xlarge: The test quit with a non-zero exit status. E: ERROR: Could not find the BRL-CAD raytracer

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latencym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge0.17260.34520.51780.69040.863SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.007, N = 3SE +/- 0.009, N = 30.2740.3990.5300.6090.7671. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latencym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge0.23090.46180.69270.92361.1545SE +/- 0.000, N = 3SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.013, N = 30.3470.4980.6690.7701.0261. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latencyc2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargem7a.16xlargec6g.16xlarge4080120160200SE +/- 1.15, N = 12SE +/- 1.23, N = 12SE +/- 0.83, N = 3SE +/- 0.39, N = 3SE +/- 3.85, N = 12140.41140.92149.60150.60168.191. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latencyc2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargem7a.16xlargec6g.16xlarge50100150200250SE +/- 1.46, N = 12SE +/- 1.44, N = 8SE +/- 0.83, N = 3SE +/- 0.59, N = 3SE +/- 6.00, N = 9171.95172.72187.19188.68210.611. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

119 Results Shown

NAS Parallel Benchmarks:
  BT.C
  CG.C
  EP.D
  FT.C
  IS.D
  LU.C
  MG.C
  SP.C
Rodinia:
  OpenMP LavaMD
  OpenMP HotSpot3D
  OpenMP Leukocyte
  OpenMP CFD Solver
  OpenMP Streamcluster
Algebraic Multi-Grid Benchmark
libxsmm:
  32
  64
Laghos:
  Triple Point Problem
  Sedov Blast Wave, ube_922_hex.mesh
HeFFTe - Highly Efficient FFT for Exascale:
  c2c - FFTW - float - 128
  r2c - FFTW - float - 128
  c2c - FFTW - double - 128
  r2c - FFTW - double - 128
Xcompact3d Incompact3d:
  input.i3d 129 Cells Per Direction
  input.i3d 193 Cells Per Direction
OpenRadioss:
  Bumper Beam
  Chrysler Neon 1M
  Cell Phone Drop Test
  Bird Strike on Windshield
  Rubber O-Ring Seal Installation
Remhos
nekRS:
  Kershaw
  TurboPipe Periodic
LAMMPS Molecular Dynamics Simulator:
  20k Atoms
  Rhodopsin Protein
Coremark
7-Zip Compression:
  Compression Rating
  Decompression Rating
Stockfish
libavif avifenc:
  0
  2
  6
  6, Lossless
Timed Gem5 Compilation
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Timed Node.js Compilation
OpenSSL:
  SHA256
  SHA512
  RSA4096
  RSA4096
  ChaCha20
  AES-128-GCM
  AES-256-GCM
  ChaCha20-Poly1305
Apache IoTDB:
  500 - 100 - 500 - 400:
    point/sec
    Average Latency
  500 - 100 - 800 - 400:
    point/sec
    Average Latency
  800 - 100 - 500 - 400:
    point/sec
    Average Latency
  800 - 100 - 800 - 400:
    point/sec
    Average Latency
GROMACS
PostgreSQL:
  100 - 800 - Read Only
  100 - 1000 - Read Only
  100 - 800 - Read Write
  100 - 1000 - Read Write
TensorFlow:
  CPU - 16 - ResNet-50
  CPU - 32 - ResNet-50
  CPU - 64 - ResNet-50
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
  Pabellon Barcelona - CPU-Only
OpenVINO:
  Face Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP32 - CPU:
    FPS
    ms
  Vehicle Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Face Detection Retail FP16 - CPU:
    FPS
    ms
  Road Segmentation ADAS FP16 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
  Face Detection Retail FP16-INT8 - CPU:
    FPS
    ms
  Road Segmentation ADAS FP16-INT8 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Handwritten English Recognition FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Handwritten English Recognition FP16-INT8 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
Apache Cassandra
nginx:
  500
  1000
BRL-CAD
PostgreSQL:
  100 - 800 - Read Only - Average Latency
  100 - 1000 - Read Only - Average Latency
  100 - 800 - Read Write - Average Latency
  100 - 1000 - Read Write - Average Latency