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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Timed Code Compilation 3 Tests
C/C++ Compiler Tests 7 Tests
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HPC - High Performance Computing 10 Tests
Java Tests 2 Tests
Common Kernel Benchmarks 2 Tests
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Molecular Dynamics 3 Tests
MPI Benchmarks 4 Tests
Multi-Core 15 Tests
NVIDIA GPU Compute 3 Tests
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  Test
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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-60openssl: SHA256openssl: SHA512openssl: ChaCha20openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20-Poly1305amg: nekrs: Kershawnekrs: TurboPipe Periodicopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUheffte: c2c - FFTW - float - 128heffte: r2c - FFTW - float - 128heffte: c2c - FFTW - double - 128heffte: r2c - FFTW - double - 128libxsmm: 32libxsmm: 64tensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - ResNet-50coremark: CoreMark Size 666 - Iterations Per Secondlaghos: Triple Point Problemlaghos: Sedov Blast Wave, ube_922_hex.meshcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingstockfish: Total Timegromacs: MPI CPU - water_GMX50_barelammps: 20k Atomslammps: Rhodopsin Proteincassandra: Writesapache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 800 - 400nginx: 500nginx: 1000openssl: RSA4096npb: BT.Cnpb: CG.Cnpb: EP.Dnpb: FT.Cnpb: IS.Dnpb: LU.Cnpb: MG.Cnpb: SP.Cpgbench: 100 - 800 - Read Onlypgbench: 100 - 1000 - Read Onlypgbench: 100 - 800 - Read Writepgbench: 100 - 1000 - Read Writeopenssl: RSA4096brl-cad: VGR Performance Metricapache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 800 - 400openvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUpgbench: 100 - 800 - Read Only - Average Latencypgbench: 100 - 1000 - Read Only - Average Latencypgbench: 100 - 800 - Read Write - Average Latencypgbench: 100 - 1000 - Read Write - Average Latencyrodinia: OpenMP LavaMDrodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusterincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionopenradioss: Bumper Beamopenradioss: Chrysler Neon 1Mopenradioss: Cell Phone Drop Testopenradioss: Bird Strike on Windshieldopenradioss: Rubber O-Ring Seal Installationremhos: Sample Remap Exampleavifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessbuild-gem5: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-nodejs: Time To Compileblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlargec7g.16xlargec2d-standard-5646211821313147022705731739809498933430952844402933280484971239093047739628898334289858333472394000018.39142.75142.901389.6935.194166.39576.942043.051875.286605.12645.74185.293650.571764.21964.4643607.04761.1454971.2688.6301148.57557.311693.6005255.4489.750.9962.7469.681445843.521552209.00259.552717952262111058944574.39119.77617.42322864033268158347625653433223735359884187350.44180537.8420079.596257.4819597.863783.6039647.472422.4073563.1342701.8339919.71493077.6510819418.59623.89447.68682.12648.8183.9983.918.62340.292.8720.775.8615.984.5318.5664.708.206.7931.080.5239.380.464.86284.16645.49810.0256.4485.8715788528.019687792.87337.7038.82147.3189.6533.36278.06841.5383.2506.889176.767198.39450884997103222448041831802491457702346040826102160259676401196477203379204277673681935833273062000010.7373.7478.96368.3926.281285.47225.481512.571014.704239.52565.3496.582646.58633.76370.0329668.12390.7244049.15109.676196.94860.0343106.029289.2554.218.2920.3620.901730658.449440222.30364.642789732472551129587885.28926.73427.82818716933466804349258993412381035068557162957.75155609.0412973.0122720.6116649.374935.6854846.181752.6294247.7747291.9643228.112003784200818656825793860844.6629363415.08633.58433.96709.461393.56208.47193.4540.67568.7711.6566.469.9014.763.5226.50155.1411.3223.6481.000.9976.720.610.3990.498140.916172.71750.97488.53542.0107.3686.4235.6305732724.572118175.68327.8830.12123.6172.0616.32678.35041.9893.2057.639170.93033.399333.351191.70634.2789.3545.22351.58112.64422885139731438491786367324778360158788510970129198197600467151264871032893667175886000022217100000.11.061.066.530.0420.792.610.148.390.460.151.365.507.362.53178.822.36136.16129.172202.44532.357579.0156312.7589.51259870.716902179.52321.29239735234046818077062.76625.05926.041217355162553.85158700.362640.024229.1413343.352213.7621386.37915.8018807.7525661.049716.99104326797503147844776215683.29996.56947.59947.86153.1222391.8648.08382.476990.10119.172186.816773.31735.58181.94135.87394.945.58423.957.330.7671.026168.191210.60862.3015.98314.2125.6181168625.874832820.816270.068167.9464.4678.879224.414102.216409.097286.201622538611972648150682030830804508359254536274052211308052721677347553318434443337667846667477479666731.72284.42283.402417.3461.197222.101049.663666.893132.4810382.221222.99315.146177.943146.041419.1181996.811158.4392100.80121.505190.60271.1095124.363643.41201.869.5587.19100.152158639.274883218.86409.733306332825931354191697.65531.47132.78527858540899210445023334264390344699315233014.72224859.0931583.8193219.1242007.577501.76103413.024085.20210544.87121293.80102392.402923009288094053125300996017.5788704340.11521.98355.13598.49503.3856.2156.416.60261.112.2115.224.3510.193.0713.0750.725.165.0722.530.3827.600.270.2740.347150.601188.67643.28674.77834.6616.4805.9302.8960266111.591308666.27190.7926.14115.9659.1813.86765.44735.8052.6495.678153.80027.709267.965154.44127.7471.5137.12276.2391.885443855517032045616820103234608683332345111983283187826230743065157631767349000325216666739917366670.181.811.8111.190.0833.234.510.2514.310.80.262.329.0910.152.53258.592.44180.79175.729291.96652.4779127.985494.2785.01608877.078630231.85409.663105172855231195024734.19436.72537.462316573254864.93255540.0310181.138934.1522031.273648.4339830.181797.7628356.7049799.5717223.951314317129852753485342713624.45639.78554.28553.5289.3612852.0830.08221.503957.7469.891255.023871.33431.90109.9998.57395.913.86410.005.520.6090.770149.597187.18843.9054.35311.4573.1587883713.791938814.258170.587102.0813.1785.914179.99980.347316.005236.482398257948401310459900712082530595312954876668711840259574082221279643981877267819529333354310833337.2582.4782.47701.0016.032215.74322.271089.83689.563195.58466.4193.231581.231022.81280.2621951.03301.6035877.14104.534164.72061.184699.6480306.3581.120.0021.4821.821212209.819280199.80239.48230430208192840170193.95118.36918.02817822733395968354607133462589935377376160196.24161127.097181.494143.8523089.422579.9247216.052190.3978848.0854301.2548423.521509987149444557025820468650.6410738408.13629.00414.40679.861914.27169.57169.6219.94868.356.3043.3912.8320.284.3629.99149.9717.6913.6699.811.2592.770.60.5300.669140.410171.94770.15790.73646.7419.3436.6586.1440919225.415339198.45363.6036.84146.5669.4324.64388.81046.5413.8028.080192.60141.168452.748231.38449.01125.7359.22468.20150.06OpenBenchmarking.org

OpenSSL

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

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5613000M26000M39000M52000M65000MSE +/- 20491615.60, N = 3SE +/- 161718701.08, N = 3SE +/- 1709212.75, N = 3SE +/- 192235444.29, N = 3SE +/- 9562123.40, N = 3SE +/- 7310870.38, N = 3508849971036225386119754438555170422885139734621182131339825794840-m64 -lssl -lcrypto-m64 -lssl -lcrypto-lssl -lcrypto-lssl -lcrypto-m64 -lssl -lcrypto-m641. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5611000M22000M33000M44000M55000MMin: 50844113450 / Avg: 50884997103.33 / Max: 50907911600Min: 61930893420 / Avg: 62253861196.67 / Max: 62430434030Min: 54435266390 / Avg: 54438555170 / Max: 54441007130Min: 41904076360 / Avg: 42288513973.33 / Max: 42485113330Min: 46197984480 / Avg: 46211821313.33 / Max: 46230172540Min: 39811212750 / Avg: 39825794840 / Max: 398340178001. (CC) gcc options: -pthread -O3 -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-567000M14000M21000M28000M35000MSE +/- 108274834.92, N = 3SE +/- 29763937.73, N = 3SE +/- 9797429.91, N = 3SE +/- 6214593.12, N = 3SE +/- 4399663.13, N = 3SE +/- 631939.37, N = 3222448041832648150682032045616820143849178631470227057313104599007-m64 -lssl -lcrypto-m64 -lssl -lcrypto-lssl -lcrypto-lssl -lcrypto-m64 -lssl -lcrypto-m641. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-566000M12000M18000M24000M30000MMin: 22028477780 / Avg: 22244804183.33 / Max: 22361481200Min: 26425668680 / Avg: 26481506820 / Max: 26527293530Min: 32035588400 / Avg: 32045616820 / Max: 32065209850Min: 14372505410 / Avg: 14384917863.33 / Max: 14391682440Min: 14693471250 / Avg: 14702270573.33 / Max: 14706676460Min: 13103761300 / Avg: 13104599006.67 / Max: 131058374501. (CC) gcc options: -pthread -O3 -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5670000M140000M210000M280000M350000MSE +/- 47698640.87, N = 3SE +/- 280681661.27, N = 3SE +/- 926708.87, N = 3SE +/- 372419.81, N = 3SE +/- 12326205.97, N = 3SE +/- 13175767.44, N = 318024914577030830804508310323460868367324778360173980949893120825305953-m64 -lssl -lcrypto-m64 -lssl -lcrypto-lssl -lcrypto-m64 -lssl -lcrypto-m641. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5650000M100000M150000M200000M250000MMin: 180164591620 / Avg: 180249145770 / Max: 180329677620Min: 307864278900 / Avg: 308308045083.33 / Max: 308827670120Min: 103232812060 / Avg: 103234608683.33 / Max: 103235901300Min: 67324185260 / Avg: 67324778360 / Max: 67325465120Min: 173956964900 / Avg: 173980949893.33 / Max: 173997876570Min: 120799023100 / Avg: 120825305953.33 / Max: 1208400939701. (CC) gcc options: -pthread -O3 -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56130000M260000M390000M520000M650000MSE +/- 376720190.05, N = 3SE +/- 1818538727.73, N = 3SE +/- 38386470.30, N = 3SE +/- 5537993.15, N = 3SE +/- 342949201.09, N = 3SE +/- 2205754.73, N = 3234604082610592545362740332345111983158788510970343095284440129548766687-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-128-GCMt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56100000M200000M300000M400000M500000MMin: 233868254690 / Avg: 234604082610 / Max: 235112254400Min: 589110555170 / Avg: 592545362740 / Max: 595298537750Min: 332289188660 / Avg: 332345111983.33 / Max: 332418625810Min: 158781697500 / Avg: 158788510970 / Max: 158799480150Min: 342460098150 / Avg: 343095284440 / Max: 343637034330Min: 129546533270 / Avg: 129548766686.67 / Max: 1295531780801. (CC) gcc options: -pthread -O3 -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56110000M220000M330000M440000M550000MSE +/- 178290221.71, N = 3SE +/- 1691817104.57, N = 3SE +/- 10793448.32, N = 3SE +/- 2100313.05, N = 3SE +/- 71241287.97, N = 3SE +/- 18032723.86, N = 3216025967640522113080527283187826230129198197600293328048497118402595740-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-GCMt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5690000M180000M270000M360000M450000MMin: 215696831010 / Avg: 216025967640 / Max: 216309338390Min: 518729446740 / Avg: 522113080526.67 / Max: 523806361740Min: 283166260970 / Avg: 283187826230 / Max: 283199445670Min: 129194047620 / Avg: 129198197600 / Max: 129200835790Min: 293211079750 / Avg: 293328048496.67 / Max: 293456993480Min: 118371375790 / Avg: 118402595740 / Max: 1184338429601. (CC) gcc options: -pthread -O3 -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5650000M100000M150000M200000M250000MSE +/- 198663058.81, N = 3SE +/- 85099636.22, N = 3SE +/- 814473.51, N = 3SE +/- 2259404.37, N = 3SE +/- 3664727.47, N = 3SE +/- 25534569.58, N = 3119647720337216773475533743065157634671512648712390930477382221279643-m64 -lssl -lcrypto-m64 -lssl -lcrypto-lssl -lcrypto-m64 -lssl -lcrypto-m641. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5640000M80000M120000M160000M200000MMin: 119258733230 / Avg: 119647720336.67 / Max: 119912340960Min: 216656251290 / Avg: 216773475533.33 / Max: 216938950660Min: 74305439880 / Avg: 74306515763.33 / Max: 74308112930Min: 46710776350 / Avg: 46715126486.67 / Max: 46718360780Min: 123902548100 / Avg: 123909304773.33 / Max: 123915143030Min: 82170339600 / Avg: 82221279643.33 / Max: 822498923901. (CC) gcc options: -pthread -O3 -ldl

Algebraic Multi-Grid Benchmark

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

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56400M800M1200M1600M2000MSE +/- 1088162.98, N = 3SE +/- 1428129.35, N = 3SE +/- 536620.29, N = 3SE +/- 176147.98, N = 3SE +/- 2060519.90, N = 3SE +/- 999273.29, N = 39204277671843444333176734900010328936679628898339818772671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56300M600M900M1200M1500MMin: 919131100 / Avg: 920427766.67 / Max: 922589800Min: 1840680000 / Avg: 1843444333.33 / Max: 1845449000Min: 1766297000 / Avg: 1767349000 / Max: 1768059000Min: 1032642000 / Avg: 1032893666.67 / Max: 1033233000Min: 958790700 / Avg: 962889833.33 / Max: 965306900Min: 980716600 / Avg: 981877266.67 / Max: 9838666001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

nekRS

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

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: Kershawt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-562000M4000M6000M8000M10000MSE +/- 84802173.02, N = 12SE +/- 49077561.86, N = 3SE +/- 2525353.66, N = 3SE +/- 2970005.61, N = 3SE +/- 57202190.49, N = 12SE +/- 88231529.95, N = 33681935833766784666732521666671758860000428985833381952933331. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: Kershawt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-561400M2800M4200M5600M7000MMin: 2808430000 / Avg: 3681935833.33 / Max: 3868600000Min: 7597650000 / Avg: 7667846666.67 / Max: 7762360000Min: 3247300000 / Avg: 3252166666.67 / Max: 3255770000Min: 1755880000 / Avg: 1758860000 / Max: 1764800000Min: 3970840000 / Avg: 4289858333.33 / Max: 4468840000Min: 8098650000 / Avg: 8195293333.33 / Max: 83714800001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: TurboPipe Periodict2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-561200M2400M3600M4800M6000MSE +/- 481352.26, N = 3SE +/- 6657808.28, N = 3SE +/- 1792766.33, N = 3SE +/- 1790009.31, N = 3SE +/- 201939132.13, N = 12SE +/- 4494968.79, N = 32730620000477479666739917366672221710000472394000054310833331. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: TurboPipe Periodict2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56900M1800M2700M3600M4500MMin: 2729670000 / Avg: 2730620000 / Max: 2731230000Min: 4763910000 / Avg: 4774796666.67 / Max: 4786880000Min: 3988740000 / Avg: 3991736666.67 / Max: 3994940000Min: 2218390000 / Avg: 2221710000 / Max: 2224530000Min: 3886310000 / Avg: 4723940000 / Max: 5317680000Min: 5424820000 / Avg: 5431083333.33 / Max: 54398000001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 310.7331.720.180.1018.397.25-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.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56714212835Min: 10.72 / Avg: 10.73 / Max: 10.74Min: 31.71 / Avg: 31.72 / Max: 31.73Min: 0.18 / Avg: 0.18 / Max: 0.18Min: 0.1 / Avg: 0.1 / Max: 0.1Min: 18.38 / Avg: 18.39 / Max: 18.4Min: 7.21 / Avg: 7.25 / Max: 7.281. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5660120180240300SE +/- 3.12, N = 15SE +/- 0.53, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.23, N = 3SE +/- 0.13, N = 373.74284.421.811.06142.7582.47-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.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5650100150200250Min: 56.94 / Avg: 73.74 / Max: 88.62Min: 283.76 / Avg: 284.42 / Max: 285.46Min: 1.8 / Avg: 1.81 / Max: 1.81Min: 1.05 / Avg: 1.06 / Max: 1.06Min: 142.34 / Avg: 142.75 / Max: 143.12Min: 82.25 / Avg: 82.47 / Max: 82.691. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5660120180240300SE +/- 2.74, N = 15SE +/- 0.29, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.48, N = 3SE +/- 0.14, N = 378.96283.401.811.06142.9082.47-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.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5650100150200250Min: 56.98 / Avg: 78.96 / Max: 87.6Min: 282.83 / Avg: 283.4 / Max: 283.77Min: 1.81 / Avg: 1.81 / Max: 1.81Min: 1.05 / Avg: 1.06 / Max: 1.06Min: 142.05 / Avg: 142.9 / Max: 143.72Min: 82.23 / Avg: 82.47 / Max: 82.711. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-565001000150020002500SE +/- 1.55, N = 3SE +/- 1.65, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 6.33, N = 3SE +/- 0.69, N = 3368.392417.3411.196.531389.69701.00-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.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56400800120016002000Min: 366.65 / Avg: 368.39 / Max: 371.49Min: 2414.33 / Avg: 2417.34 / Max: 2420.01Min: 11.18 / Avg: 11.19 / Max: 11.2Min: 6.52 / Avg: 6.53 / Max: 6.54Min: 1379.32 / Avg: 1389.69 / Max: 1401.18Min: 699.63 / Avg: 701 / Max: 701.851. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-561428425670SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 326.2861.190.080.0435.1916.03-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.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-561224364860Min: 26.25 / Avg: 26.28 / Max: 26.31Min: 61.18 / Avg: 61.19 / Max: 61.19Min: 0.08 / Avg: 0.08 / Max: 0.08Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 35.17 / Avg: 35.19 / Max: 35.22Min: 15.96 / Avg: 16.03 / Max: 16.091. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5615003000450060007500SE +/- 15.96, N = 3SE +/- 4.07, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 8.74, N = 3SE +/- 3.06, N = 31285.477222.1033.2320.794166.392215.74-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.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5613002600390052006500Min: 1254.15 / Avg: 1285.47 / Max: 1306.47Min: 7217.47 / Avg: 7222.1 / Max: 7230.22Min: 33.19 / Avg: 33.23 / Max: 33.27Min: 20.77 / Avg: 20.79 / Max: 20.8Min: 4150.59 / Avg: 4166.39 / Max: 4180.76Min: 2211.71 / Avg: 2215.74 / Max: 2221.741. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-562004006008001000SE +/- 0.93, N = 3SE +/- 0.11, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 1.04, N = 3SE +/- 2.90, N = 3225.481049.664.512.61576.94322.27-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.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-562004006008001000Min: 223.89 / Avg: 225.48 / Max: 227.11Min: 1049.45 / Avg: 1049.66 / Max: 1049.83Min: 4.51 / Avg: 4.51 / Max: 4.52Min: 2.61 / Avg: 2.61 / Max: 2.62Min: 575.03 / Avg: 576.94 / Max: 578.62Min: 317.96 / Avg: 322.27 / Max: 327.81. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-568001600240032004000SE +/- 1.12, N = 3SE +/- 1.69, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 15SE +/- 3.16, N = 3SE +/- 1.05, N = 31512.573666.890.250.142043.051089.83-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.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-566001200180024003000Min: 1510.65 / Avg: 1512.57 / Max: 1514.53Min: 3663.52 / Avg: 3666.89 / Max: 3668.86Min: 0.25 / Avg: 0.25 / Max: 0.25Min: 0.14 / Avg: 0.14 / Max: 0.15Min: 2037.92 / Avg: 2043.05 / Max: 2048.81Min: 1088.1 / Avg: 1089.83 / Max: 1091.741. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-567001400210028003500SE +/- 0.56, N = 3SE +/- 0.31, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.47, N = 3SE +/- 0.77, N = 31014.703132.4814.318.391875.28689.56-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.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-565001000150020002500Min: 1013.98 / Avg: 1014.7 / Max: 1015.81Min: 3131.9 / Avg: 3132.48 / Max: 3132.96Min: 14.31 / Avg: 14.31 / Max: 14.31Min: 8.38 / Avg: 8.39 / Max: 8.4Min: 1874.48 / Avg: 1875.28 / Max: 1876.11Min: 688.29 / Avg: 689.56 / Max: 690.941. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-562K4K6K8K10KSE +/- 2.08, N = 3SE +/- 3.60, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 6.52, N = 3SE +/- 2.82, N = 34239.5210382.220.800.466605.123195.58-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.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-562K4K6K8K10KMin: 4237.32 / Avg: 4239.52 / Max: 4243.67Min: 10375.13 / Avg: 10382.22 / Max: 10386.82Min: 0.8 / Avg: 0.8 / Max: 0.8Min: 0.45 / Avg: 0.46 / Max: 0.47Min: 6592.31 / Avg: 6605.12 / Max: 6613.67Min: 3190.02 / Avg: 3195.58 / Max: 3199.131. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5630060090012001500SE +/- 0.37, N = 3SE +/- 0.51, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.79, N = 3SE +/- 1.07, N = 3565.341222.990.260.15645.74466.41-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.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-562004006008001000Min: 564.63 / Avg: 565.34 / Max: 565.9Min: 1222.15 / Avg: 1222.99 / Max: 1223.92Min: 0.26 / Avg: 0.26 / Max: 0.26Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 644.52 / Avg: 645.74 / Max: 647.21Min: 464.34 / Avg: 466.41 / Max: 467.941. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5670140210280350SE +/- 0.37, N = 3SE +/- 0.11, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.25, N = 3SE +/- 0.02, N = 396.58315.142.321.36185.2993.23-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.orgFPS, More Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5660120180240300Min: 95.94 / Avg: 96.58 / Max: 97.21Min: 314.92 / Avg: 315.14 / Max: 315.26Min: 2.31 / Avg: 2.32 / Max: 2.32Min: 1.36 / Avg: 1.36 / Max: 1.36Min: 184.93 / Avg: 185.29 / Max: 185.76Min: 93.2 / Avg: 93.23 / Max: 93.261. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5613002600390052006500SE +/- 3.26, N = 3SE +/- 4.43, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 3.28, N = 3SE +/- 0.68, N = 32646.586177.949.095.503650.571581.23-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.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5611002200330044005500Min: 2640.38 / Avg: 2646.58 / Max: 2651.41Min: 6169.58 / Avg: 6177.94 / Max: 6184.68Min: 9.09 / Avg: 9.09 / Max: 9.09Min: 5.49 / Avg: 5.5 / Max: 5.51Min: 3644.95 / Avg: 3650.57 / Max: 3656.3Min: 1580.49 / Avg: 1581.23 / Max: 1582.581. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-567001400210028003500SE +/- 3.66, N = 3SE +/- 1.10, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 4.38, N = 3SE +/- 1.21, N = 3633.763146.0410.157.361764.211022.81-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.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-565001000150020002500Min: 627.99 / Avg: 633.76 / Max: 640.55Min: 3144.27 / Avg: 3146.04 / Max: 3148.06Min: 10.11 / Avg: 10.15 / Max: 10.18Min: 7.34 / Avg: 7.36 / Max: 7.38Min: 1756.45 / Avg: 1764.21 / Max: 1771.62Min: 1020.4 / Avg: 1022.81 / Max: 1024.281. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5630060090012001500SE +/- 0.96, N = 3SE +/- 0.70, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.60, N = 3SE +/- 0.37, N = 3370.031419.112.532.53964.46280.26-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.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-562004006008001000Min: 368.12 / Avg: 370.03 / Max: 371.04Min: 1418.14 / Avg: 1419.11 / Max: 1420.46Min: 2.51 / Avg: 2.53 / Max: 2.55Min: 2.5 / Avg: 2.53 / Max: 2.55Min: 963.5 / Avg: 964.46 / Max: 965.57Min: 279.75 / Avg: 280.26 / Max: 280.971. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5620K40K60K80K100KSE +/- 14.46, N = 3SE +/- 31.79, N = 3SE +/- 0.88, N = 3SE +/- 0.39, N = 3SE +/- 18.42, N = 3SE +/- 3.74, N = 329668.1281996.81258.59178.8243607.0421951.03-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.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5614K28K42K56K70KMin: 29641.49 / Avg: 29668.12 / Max: 29691.19Min: 81936.96 / Avg: 81996.81 / Max: 82045.32Min: 256.88 / Avg: 258.59 / Max: 259.84Min: 178.05 / Avg: 178.82 / Max: 179.26Min: 43584.18 / Avg: 43607.04 / Max: 43643.5Min: 21947.12 / Avg: 21951.03 / Max: 21958.511. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-562004006008001000SE +/- 1.37, N = 3SE +/- 0.18, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 1.75, N = 3SE +/- 2.14, N = 3390.721158.432.442.36761.14301.60-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.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-562004006008001000Min: 387.99 / Avg: 390.72 / Max: 392.35Min: 1158.16 / Avg: 1158.43 / Max: 1158.76Min: 2.41 / Avg: 2.44 / Max: 2.48Min: 2.36 / Avg: 2.36 / Max: 2.36Min: 758.9 / Avg: 761.14 / Max: 764.58Min: 298.99 / Avg: 301.6 / Max: 305.841. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5620K40K60K80K100KSE +/- 332.93, N = 3SE +/- 453.62, N = 3SE +/- 0.71, N = 3SE +/- 0.48, N = 3SE +/- 45.46, N = 3SE +/- 26.90, N = 344049.1592100.80180.79136.1654971.2635877.14-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.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5616K32K48K64K80KMin: 43415.23 / Avg: 44049.15 / Max: 44542.58Min: 91645.52 / Avg: 92100.8 / Max: 93008.04Min: 179.9 / Avg: 180.79 / Max: 182.2Min: 135.26 / Avg: 136.16 / Max: 136.9Min: 54880.77 / Avg: 54971.26 / Max: 55024.16Min: 35832.89 / Avg: 35877.14 / Max: 35925.761. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

HeFFTe - Highly Efficient FFT for Exascale

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

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-564080120160200SE +/- 0.78, N = 3SE +/- 1.44, N = 15SE +/- 0.44, N = 3SE +/- 0.11, N = 3SE +/- 0.52, N = 3SE +/- 1.06, N = 3109.68121.51175.73129.1788.63104.531. (CXX) g++ options: -O3
OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56306090120150Min: 108.11 / Avg: 109.68 / Max: 110.47Min: 110.47 / Avg: 121.51 / Max: 128.23Min: 174.86 / Avg: 175.73 / Max: 176.28Min: 128.99 / Avg: 129.17 / Max: 129.37Min: 87.59 / Avg: 88.63 / Max: 89.18Min: 102.55 / Avg: 104.53 / Max: 106.151. (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: 128t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5660120180240300SE +/- 0.82, N = 3SE +/- 2.16, N = 15SE +/- 0.59, N = 3SE +/- 0.57, N = 3SE +/- 2.19, N = 12SE +/- 1.51, N = 6196.95190.60291.97202.45148.58164.721. (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: 128t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5650100150200250Min: 195.47 / Avg: 196.95 / Max: 198.31Min: 182.77 / Avg: 190.6 / Max: 214.05Min: 291.3 / Avg: 291.97 / Max: 293.14Min: 201.49 / Avg: 202.44 / Max: 203.47Min: 138.04 / Avg: 148.58 / Max: 161.92Min: 160.21 / Avg: 164.72 / Max: 169.931. (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: 128t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-561632486480SE +/- 0.66, N = 3SE +/- 0.63, N = 15SE +/- 0.00, N = 3SE +/- 0.10, N = 3SE +/- 1.29, N = 15SE +/- 0.78, N = 1560.0371.1152.4832.3657.3161.181. (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: 128t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-561428425670Min: 58.73 / Avg: 60.03 / Max: 60.86Min: 66.16 / Avg: 71.11 / Max: 73.8Min: 52.47 / Avg: 52.48 / Max: 52.48Min: 32.22 / Avg: 32.36 / Max: 32.56Min: 46.05 / Avg: 57.31 / Max: 63.04Min: 56.28 / Avg: 61.18 / Max: 65.481. (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: 128t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56306090120150SE +/- 0.91, N = 3SE +/- 1.18, N = 15SE +/- 0.10, N = 3SE +/- 0.71, N = 3SE +/- 1.78, N = 12SE +/- 1.39, N = 3106.03124.36127.9979.0293.6099.651. (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: 128t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5620406080100Min: 104.39 / Avg: 106.03 / Max: 107.51Min: 115.03 / Avg: 124.36 / Max: 129.61Min: 127.8 / Avg: 127.99 / Max: 128.13Min: 77.62 / Avg: 79.02 / Max: 79.92Min: 83.8 / Avg: 93.6 / Max: 107.97Min: 97.19 / Avg: 99.65 / Max: 1021. (CXX) g++ options: -O3

libxsmm

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

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 32t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56140280420560700SE +/- 3.60, N = 4SE +/- 0.40, N = 3SE +/- 0.07, N = 3SE +/- 0.47, N = 3SE +/- 0.19, N = 3SE +/- 0.38, N = 3289.2643.4494.2312.7255.4306.3-lquadmath -msse4.2-lquadmath -msse4.2-march=armv8.1-a-march=armv8.1-a-lquadmath -msse4.2-lquadmath -msse4.21. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden
OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 32t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56110220330440550Min: 278.4 / Avg: 289.18 / Max: 293.4Min: 642.7 / Avg: 643.4 / Max: 644.1Min: 494.1 / Avg: 494.17 / Max: 494.3Min: 311.8 / Avg: 312.67 / Max: 313.4Min: 255.2 / Avg: 255.43 / Max: 255.8Min: 305.6 / Avg: 306.33 / Max: 306.91. (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: 64t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5630060090012001500SE +/- 0.25, N = 3SE +/- 0.52, N = 3SE +/- 0.03, N = 3SE +/- 0.96, N = 3SE +/- 0.12, N = 3SE +/- 1.99, N = 3554.21201.8785.0589.5489.7581.1-lquadmath -msse4.2-lquadmath -msse4.2-march=armv8.1-a-march=armv8.1-a-lquadmath -msse4.2-lquadmath -msse4.21. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden
OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-562004006008001000Min: 553.7 / Avg: 554.2 / Max: 554.5Min: 1200.8 / Avg: 1201.83 / Max: 1202.4Min: 784.9 / Avg: 784.97 / Max: 785Min: 587.9 / Avg: 589.47 / Max: 591.2Min: 489.5 / Avg: 489.73 / Max: 489.9Min: 577.4 / Avg: 581.1 / Max: 584.21. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-561530456075SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 318.2969.5550.9920.00
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-561326395265Min: 18.2 / Avg: 18.29 / Max: 18.35Min: 69.33 / Avg: 69.55 / Max: 69.95Min: 50.94 / Avg: 50.99 / Max: 51.07Min: 19.9 / Avg: 20 / Max: 20.06

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-50t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-5620406080100SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 320.3687.1962.7421.48
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-5620406080100Min: 20.25 / Avg: 20.36 / Max: 20.47Min: 87.01 / Avg: 87.19 / Max: 87.29Min: 62.55 / Avg: 62.74 / Max: 62.84Min: 21.34 / Avg: 21.48 / Max: 21.6

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-50t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-5620406080100SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 320.90100.1569.6821.82
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-5620406080100Min: 20.85 / Avg: 20.9 / Max: 20.94Min: 100.06 / Avg: 100.15 / Max: 100.22Min: 69.57 / Avg: 69.68 / Max: 69.81Min: 21.77 / Avg: 21.82 / Max: 21.91

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'

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 Secondt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56500K1000K1500K2000K2500KSE +/- 9191.61, N = 3SE +/- 1437.63, N = 3SE +/- 11587.63, N = 15SE +/- 635.29, N = 3SE +/- 1295.68, N = 3SE +/- 833.48, N = 31730658.452158639.271608877.081259870.721445843.521212209.821. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Secondt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56400K800K1200K1600K2000KMin: 1718336.08 / Avg: 1730658.45 / Max: 1748633.88Min: 2156213.15 / Avg: 2158639.27 / Max: 2161188.65Min: 1503406.15 / Avg: 1608877.08 / Max: 1636933.31Min: 1258603.74 / Avg: 1259870.72 / Max: 1260586.96Min: 1443435.38 / Avg: 1445843.52 / Max: 1447876.45Min: 1210745.37 / Avg: 1212209.82 / Max: 1213631.681. (CC) gcc options: -O2 -lrt" -lrt

Laghos

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

OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Triple Point Problemt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5650100150200250SE +/- 1.77, N = 3SE +/- 1.67, N = 3SE +/- 0.90, N = 3SE +/- 0.50, N = 3SE +/- 0.22, N = 3SE +/- 0.61, N = 3222.30218.86231.85179.52209.00199.801. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Triple Point Problemt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-564080120160200Min: 218.83 / Avg: 222.3 / Max: 224.61Min: 216.51 / Avg: 218.86 / Max: 222.1Min: 230.87 / Avg: 231.85 / Max: 233.65Min: 178.78 / Avg: 179.52 / Max: 180.48Min: 208.59 / Avg: 209 / Max: 209.36Min: 198.86 / Avg: 199.8 / Max: 200.951. (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.mesht2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5690180270360450SE +/- 0.62, N = 3SE +/- 1.29, N = 3SE +/- 0.57, N = 3SE +/- 0.79, N = 3SE +/- 0.31, N = 3SE +/- 0.02, N = 3364.64409.73409.66321.29259.55239.481. (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.mesht2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5670140210280350Min: 363.48 / Avg: 364.64 / Max: 365.6Min: 407.42 / Avg: 409.73 / Max: 411.89Min: 408.55 / Avg: 409.66 / Max: 410.44Min: 319.98 / Avg: 321.29 / Max: 322.7Min: 259.15 / Avg: 259.55 / Max: 260.15Min: 239.44 / Avg: 239.48 / Max: 239.51. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

7-Zip Compression

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

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Ratingt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5670K140K210K280K350KSE +/- 388.74, N = 3SE +/- 400.99, N = 3SE +/- 291.75, N = 3SE +/- 359.95, N = 3SE +/- 346.51, N = 3SE +/- 214.91, N = 32789733306333105172397352717952304301. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Ratingt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5660K120K180K240K300KMin: 278561 / Avg: 278973 / Max: 279750Min: 329942 / Avg: 330633 / Max: 331331Min: 309934 / Avg: 310517.33 / Max: 310821Min: 239263 / Avg: 239735.33 / Max: 240442Min: 271103 / Avg: 271794.67 / Max: 272178Min: 230116 / Avg: 230429.67 / Max: 2308411. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Ratingt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5660K120K180K240K300KSE +/- 347.74, N = 3SE +/- 342.37, N = 3SE +/- 141.62, N = 3SE +/- 57.33, N = 3SE +/- 519.21, N = 3SE +/- 140.45, N = 32472552825932855232340462262112081921. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Ratingt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5650K100K150K200K250KMin: 246600 / Avg: 247255 / Max: 247785Min: 282213 / Avg: 282592.67 / Max: 283276Min: 285243 / Avg: 285523 / Max: 285700Min: 233936 / Avg: 234046 / Max: 234129Min: 225430 / Avg: 226210.67 / Max: 227194Min: 207911 / Avg: 208191.67 / Max: 2083421. (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 Timet2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5630M60M90M120M150MSE +/- 1618403.29, N = 14SE +/- 1001447.21, N = 3SE +/- 1921303.63, N = 15SE +/- 1645401.81, N = 15SE +/- 1450871.09, N = 3SE +/- 705199.36, N = 151129587881354191691195024738180770610589445784017019-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 -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
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total Timet2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5620M40M60M80M100MMin: 104054980 / Avg: 112958788.21 / Max: 124362514Min: 133983539 / Avg: 135419169 / Max: 137346494Min: 105295816 / Avg: 119502472.93 / Max: 129943001Min: 72392522 / Avg: 81807705.73 / Max: 93109816Min: 103063203 / Avg: 105894456.67 / Max: 107860613Min: 78621063 / Avg: 84017019.2 / Max: 884854011. (CXX) g++ options: -lgcov -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -flto -flto=jobserver

GROMACS

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

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_baret2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56246810SE +/- 0.005, N = 3SE +/- 0.035, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.011, N = 3SE +/- 0.005, N = 35.2897.6554.1942.7664.3913.9511. (CXX) g++ options: -O3
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_baret2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-563691215Min: 5.28 / Avg: 5.29 / Max: 5.3Min: 7.59 / Avg: 7.65 / Max: 7.71Min: 4.19 / Avg: 4.19 / Max: 4.2Min: 2.76 / Avg: 2.77 / Max: 2.77Min: 4.37 / Avg: 4.39 / Max: 4.41Min: 3.95 / Avg: 3.95 / Max: 3.961. (CXX) g++ options: -O3

LAMMPS Molecular Dynamics Simulator

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

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k Atomst2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56816243240SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 326.7331.4736.7325.0619.7818.37-lm-lm-lm-lm1. (CXX) g++ options: -O3 -ldl
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k Atomst2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56816243240Min: 26.68 / Avg: 26.73 / Max: 26.83Min: 31.42 / Avg: 31.47 / Max: 31.52Min: 36.51 / Avg: 36.73 / Max: 36.87Min: 24.91 / Avg: 25.06 / Max: 25.18Min: 19.72 / Avg: 19.78 / Max: 19.85Min: 18.3 / Avg: 18.37 / Max: 18.421. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin Proteint2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56918273645SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.54, N = 12SE +/- 0.13, N = 327.8332.7937.4626.0417.4218.03-lm-lm-lm-lm1. (CXX) g++ options: -O3 -ldl
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin Proteint2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56816243240Min: 27.49 / Avg: 27.83 / Max: 28.03Min: 32.64 / Avg: 32.79 / Max: 32.98Min: 37.42 / Avg: 37.46 / Max: 37.52Min: 25.96 / Avg: 26.04 / Max: 26.11Min: 15.14 / Avg: 17.42 / Max: 19.61Min: 17.78 / Avg: 18.03 / Max: 18.171. (CXX) g++ options: -O3 -ldl

Apache Cassandra

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

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: Writest2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5670K140K210K280K350KSE +/- 681.76, N = 3SE +/- 352.65, N = 3SE +/- 2261.70, N = 3SE +/- 3249.94, N = 12SE +/- 1129.40, N = 3SE +/- 1718.54, N = 3187169278585316573217355228640178227
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: Writest2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5650K100K150K200K250KMin: 185952 / Avg: 187169 / Max: 188310Min: 278128 / Avg: 278585.33 / Max: 279279Min: 312986 / Avg: 316572.67 / Max: 320753Min: 189461 / Avg: 217355 / Max: 230058Min: 227154 / Avg: 228639.67 / Max: 230856Min: 175062 / Avg: 178227.33 / Max: 180970

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: 400t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-569M18M27M36M45MSE +/- 303573.79, N = 3SE +/- 457186.43, N = 3SE +/- 154587.14, N = 3SE +/- 247504.71, N = 333466804408992103326815833395968
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-567M14M21M28M35MMin: 32860342.37 / Avg: 33466803.8 / Max: 33795025.28Min: 39998858.13 / Avg: 40899209.53 / Max: 41487529.37Min: 33054825.84 / Avg: 33268157.73 / Max: 33568624.3Min: 32916972.81 / Avg: 33395968.44 / Max: 33743624.15

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: 400t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-5610M20M30M40M50MSE +/- 221111.93, N = 3SE +/- 224779.59, N = 3SE +/- 188621.29, N = 3SE +/- 80227.43, N = 334925899445023333476256535460713
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-568M16M24M32M40MMin: 34500639.54 / Avg: 34925899.13 / Max: 35243586.87Min: 44055819.24 / Avg: 44502333.03 / Max: 44770830.13Min: 34503885.42 / Avg: 34762564.74 / Max: 35129702.06Min: 35320738.59 / Avg: 35460712.59 / Max: 35598631.78

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: 400t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-569M18M27M36M45MSE +/- 130588.20, N = 3SE +/- 111073.27, N = 3SE +/- 66565.66, N = 3SE +/- 177230.11, N = 334123810426439033433223734625899
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-567M14M21M28M35MMin: 33867500.37 / Avg: 34123809.65 / Max: 34295426.94Min: 42439023.24 / Avg: 42643902.58 / Max: 42820707.26Min: 34199369.37 / Avg: 34332237.31 / Max: 34405919.84Min: 34320291.45 / Avg: 34625898.98 / Max: 34934216.63

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: 400t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-5610M20M30M40M50MSE +/- 354923.23, N = 3SE +/- 99649.31, N = 3SE +/- 267152.12, N = 3SE +/- 248722.01, N = 335068557446993153535988435377376
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-568M16M24M32M40MMin: 34680351.11 / Avg: 35068557.46 / Max: 35777328.86Min: 44502724.78 / Avg: 44699315.07 / Max: 44825967.71Min: 34831565.91 / Avg: 35359884.22 / Max: 35693112.85Min: 35050704.46 / Avg: 35377376.32 / Max: 35865599.97

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.

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: 500t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5650K100K150K200K250KSE +/- 394.72, N = 3SE +/- 451.60, N = 3SE +/- 757.47, N = 3SE +/- 249.05, N = 3SE +/- 126.15, N = 3SE +/- 513.44, N = 3162957.75233014.72254864.93162553.85187350.44160196.241. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5640K80K120K160K200KMin: 162237.8 / Avg: 162957.75 / Max: 163598.21Min: 232522.08 / Avg: 233014.72 / Max: 233916.65Min: 253994.6 / Avg: 254864.93 / Max: 256373.95Min: 162079.43 / Avg: 162553.85 / Max: 162922.48Min: 187110.72 / Avg: 187350.44 / Max: 187538.43Min: 159584.73 / Avg: 160196.24 / Max: 161216.431. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5650K100K150K200K250KSE +/- 156.32, N = 3SE +/- 260.28, N = 3SE +/- 141.46, N = 3SE +/- 132.24, N = 3SE +/- 688.79, N = 3SE +/- 157.70, N = 3155609.04224859.09255540.03158700.36180537.84161127.091. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5640K80K120K160K200KMin: 155316.39 / Avg: 155609.04 / Max: 155850.64Min: 224448.59 / Avg: 224859.09 / Max: 225341.56Min: 255383.58 / Avg: 255540.03 / Max: 255822.39Min: 158461.36 / Avg: 158700.36 / Max: 158917.94Min: 179226.04 / Avg: 180537.84 / Max: 181558Min: 160956.82 / Avg: 161127.09 / Max: 161442.151. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenSSL

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

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-567K14K21K28K35KSE +/- 11.58, N = 3SE +/- 24.57, N = 3SE +/- 1.56, N = 3SE +/- 0.09, N = 3SE +/- 14.62, N = 3SE +/- 0.44, N = 312973.031583.810181.12640.020079.57181.4-m64 -lssl -lcrypto-m64 -lssl -lcrypto-lssl -lcrypto-m64 -lssl -lcrypto-m641. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-565K10K15K20K25KMin: 12954.2 / Avg: 12972.97 / Max: 12994.1Min: 31538.6 / Avg: 31583.8 / Max: 31623.1Min: 10178.9 / Avg: 10181.07 / Max: 10184.1Min: 2639.8 / Avg: 2639.97 / Max: 2640.1Min: 20051.8 / Avg: 20079.53 / Max: 20101.4Min: 7180.7 / Avg: 7181.4 / Max: 7182.21. (CC) gcc options: -pthread -O3 -ldl

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.Ct2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5640K80K120K160K200KSE +/- 42.77, N = 3SE +/- 560.75, N = 3SE +/- 19.48, N = 3SE +/- 7.69, N = 3SE +/- 122.23, N = 3SE +/- 80.45, N = 3122720.61193219.1238934.1524229.1496257.4894143.851. (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: BT.Ct2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5630K60K90K120K150KMin: 122655.41 / Avg: 122720.61 / Max: 122801.16Min: 192102.72 / Avg: 193219.12 / Max: 193869.81Min: 38899.67 / Avg: 38934.15 / Max: 38967.08Min: 24214.1 / Avg: 24229.14 / Max: 24239.43Min: 96031.29 / Avg: 96257.48 / Max: 96450.87Min: 94056.33 / Avg: 94143.85 / Max: 94304.531. (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.Ct2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-569K18K27K36K45KSE +/- 1215.82, N = 15SE +/- 178.46, N = 3SE +/- 25.33, N = 3SE +/- 23.52, N = 3SE +/- 77.92, N = 3SE +/- 206.16, N = 716649.3742007.5722031.2713343.3519597.8623089.421. (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.Ct2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-567K14K21K28K35KMin: 9077.23 / Avg: 16649.37 / Max: 20064.88Min: 41701.33 / Avg: 42007.57 / Max: 42319.44Min: 21980.64 / Avg: 22031.27 / Max: 22058.13Min: 13308.3 / Avg: 13343.35 / Max: 13388.04Min: 19455.2 / Avg: 19597.86 / Max: 19723.53Min: 22128.79 / Avg: 23089.42 / Max: 23931.511. (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.Dt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5616003200480064008000SE +/- 51.21, N = 5SE +/- 8.54, N = 3SE +/- 25.41, N = 13SE +/- 7.28, N = 3SE +/- 30.67, N = 3SE +/- 36.32, N = 34935.687501.763648.432213.763783.602579.921. (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.Dt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5613002600390052006500Min: 4735 / Avg: 4935.68 / Max: 5011.74Min: 7484.92 / Avg: 7501.76 / Max: 7512.63Min: 3364.1 / Avg: 3648.43 / Max: 3691.57Min: 2205.13 / Avg: 2213.76 / Max: 2228.23Min: 3722.29 / Avg: 3783.6 / Max: 3815.81Min: 2507.31 / Avg: 2579.92 / Max: 2617.681. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.Ct2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5620K40K60K80K100KSE +/- 137.77, N = 3SE +/- 446.85, N = 3SE +/- 13.54, N = 3SE +/- 2.85, N = 3SE +/- 600.19, N = 15SE +/- 57.93, N = 354846.18103413.0239830.1821386.3739647.4747216.051. (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.Ct2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5620K40K60K80K100KMin: 54635.02 / Avg: 54846.18 / Max: 55105.07Min: 102955.06 / Avg: 103413.02 / Max: 104306.63Min: 39807.78 / Avg: 39830.18 / Max: 39854.55Min: 21381 / Avg: 21386.37 / Max: 21390.73Min: 38171.82 / Avg: 39647.47 / Max: 44801.35Min: 47105.53 / Avg: 47216.05 / Max: 47301.421. (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.Dt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-569001800270036004500SE +/- 142.62, N = 12SE +/- 3.14, N = 3SE +/- 1.25, N = 3SE +/- 0.58, N = 3SE +/- 36.45, N = 15SE +/- 3.14, N = 31752.624085.201797.76915.802422.402190.391. (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.Dt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-567001400210028003500Min: 1265.34 / Avg: 1752.62 / Max: 2341.41Min: 4078.99 / Avg: 4085.2 / Max: 4089.09Min: 1795.92 / Avg: 1797.76 / Max: 1800.16Min: 914.79 / Avg: 915.8 / Max: 916.8Min: 2271.09 / Avg: 2422.4 / Max: 2686.31Min: 2184.71 / Avg: 2190.39 / Max: 2195.541. (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.Ct2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5650K100K150K200K250KSE +/- 1463.52, N = 15SE +/- 661.61, N = 3SE +/- 30.15, N = 3SE +/- 7.52, N = 3SE +/- 293.57, N = 3SE +/- 22.13, N = 394247.77210544.8728356.7018807.7573563.1378848.081. (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.Ct2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5640K80K120K160K200KMin: 74972.59 / Avg: 94247.77 / Max: 96941.08Min: 209647.47 / Avg: 210544.87 / Max: 211835.7Min: 28296.49 / Avg: 28356.7 / Max: 28389.61Min: 18795.75 / Avg: 18807.75 / Max: 18821.59Min: 72978.56 / Avg: 73563.13 / Max: 73902.98Min: 78814.85 / Avg: 78848.08 / Max: 78890.011. (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.Ct2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5630K60K90K120K150KSE +/- 145.06, N = 3SE +/- 526.14, N = 3SE +/- 10.47, N = 3SE +/- 10.99, N = 3SE +/- 29.69, N = 3SE +/- 99.78, N = 347291.96121293.8049799.5725661.0442701.8354301.251. (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.Ct2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5620K40K60K80K100KMin: 47040.34 / Avg: 47291.96 / Max: 47542.83Min: 120246.22 / Avg: 121293.8 / Max: 121903.55Min: 49783.12 / Avg: 49799.57 / Max: 49819.02Min: 25642.24 / Avg: 25661.04 / Max: 25680.31Min: 42650.19 / Avg: 42701.83 / Max: 42753.02Min: 54174.71 / Avg: 54301.25 / Max: 54498.161. (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.Ct2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5620K40K60K80K100KSE +/- 555.92, N = 3SE +/- 91.17, N = 3SE +/- 40.05, N = 3SE +/- 0.76, N = 3SE +/- 45.01, N = 3SE +/- 113.84, N = 343228.11102392.4017223.959716.9939919.7148423.521. (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.Ct2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5620K40K60K80K100KMin: 42116.86 / Avg: 43228.11 / Max: 43815.03Min: 102218.96 / Avg: 102392.4 / Max: 102527.85Min: 17143.85 / Avg: 17223.95 / Max: 17264.95Min: 9715.57 / Avg: 9716.99 / Max: 9718.18Min: 39831.19 / Avg: 39919.71 / Max: 39978.2Min: 48203.22 / Avg: 48423.52 / Max: 48583.441. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

PostgreSQL

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Onlyt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-56600K1200K1800K2400K3000KSE +/- 20558.90, N = 3SE +/- 13309.30, N = 3SE +/- 14241.12, N = 3SE +/- 12058.27, N = 3SE +/- 20718.28, N = 3200378429230091314317104326715099871. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Onlyt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-56500K1000K1500K2000K2500KMin: 1982417.57 / Avg: 2003783.9 / Max: 2044890.99Min: 2896398.33 / Avg: 2923009.14 / Max: 2936871.72Min: 1288748.26 / Avg: 1314316.95 / Max: 1337969.14Min: 1019179.32 / Avg: 1043267.49 / Max: 1056324.43Min: 1469043.56 / Avg: 1509987.12 / Max: 1535977.981. (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 Onlyt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-56600K1200K1800K2400K3000KSE +/- 22497.42, N = 3SE +/- 2874.04, N = 3SE +/- 11830.85, N = 3SE +/- 12606.16, N = 3SE +/- 9220.12, N = 320081862880940129852797503114944451. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Onlyt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-56500K1000K1500K2000K2500KMin: 1965900.78 / Avg: 2008186.14 / Max: 2042646.57Min: 2875496.58 / Avg: 2880939.91 / Max: 2885260.95Min: 1275126.07 / Avg: 1298527.14 / Max: 1313260.78Min: 955053.13 / Avg: 975030.88 / Max: 998339.41Min: 1477738.01 / Avg: 1494444.82 / Max: 1509557.931. (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 Writet2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-5612002400360048006000SE +/- 49.28, N = 12SE +/- 13.63, N = 3SE +/- 29.72, N = 3SE +/- 109.40, N = 12SE +/- 47.23, N = 12568253125348478457021. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Writet2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-5610002000300040005000Min: 5410.93 / Avg: 5681.85 / Max: 5987.25Min: 5285.8 / Avg: 5312.14 / Max: 5331.42Min: 5290.54 / Avg: 5348.02 / Max: 5389.87Min: 4159.81 / Avg: 4783.95 / Max: 5258.39Min: 5500.17 / Avg: 5701.89 / Max: 5980.461. (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 Writet2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-5612002400360048006000SE +/- 49.93, N = 8SE +/- 16.57, N = 3SE +/- 23.65, N = 3SE +/- 124.50, N = 9SE +/- 50.46, N = 12579353005342477658201. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Writet2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-5610002000300040005000Min: 5644.75 / Avg: 5792.74 / Max: 6117.69Min: 5267.53 / Avg: 5300.18 / Max: 5321.43Min: 5295.17 / Avg: 5342.43 / Max: 5367.93Min: 3973.61 / Avg: 4776.42 / Max: 5138.82Min: 5644.47 / Avg: 5820.47 / Max: 6112.871. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

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

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

OpenSSL

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

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56200K400K600K800K1000KSE +/- 644.45, N = 3SE +/- 367.82, N = 3SE +/- 189.99, N = 3SE +/- 6.55, N = 3SE +/- 50.91, N = 3SE +/- 418.00, N = 3860844.6996017.5713624.4215683.2493077.6468650.6-m64 -lssl -lcrypto-m64 -lssl -lcrypto-lssl -lcrypto-lssl -lcrypto-m64 -lssl -lcrypto-m641. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096t2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56200K400K600K800K1000KMin: 859670.9 / Avg: 860844.6 / Max: 861892.7Min: 995487.9 / Avg: 996017.53 / Max: 996724.5Min: 713246.1 / Avg: 713624.4 / Max: 713844.5Min: 215670.9 / Avg: 215683.23 / Max: 215693.2Min: 492977.7 / Avg: 493077.6 / Max: 493144.6Min: 467814.9 / Avg: 468650.57 / Max: 469088.91. (CC) gcc options: -pthread -O3 -ldl

BRL-CAD

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

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.36VGR Performance Metrict2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56200K400K600K800K1000K6293637887045108194107381. (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

Apache IoTDB

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-5690180270360450SE +/- 4.08, N = 3SE +/- 4.92, N = 3SE +/- 2.14, N = 3SE +/- 2.53, N = 3415.08340.11418.59408.13MAX: 28810.4MAX: 37899.66MAX: 31920.67MAX: 33039.23
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-5670140210280350Min: 407.11 / Avg: 415.08 / Max: 420.62Min: 331.69 / Avg: 340.11 / Max: 348.72Min: 415.5 / Avg: 418.59 / Max: 422.71Min: 403.15 / Avg: 408.13 / Max: 411.39

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: 800 - Client Number: 400t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56140280420560700SE +/- 12.58, N = 3SE +/- 0.65, N = 3SE +/- 3.18, N = 3SE +/- 13.51, N = 3633.58521.98623.89629.00MAX: 54749.7MAX: 34235.44MAX: 41831.2MAX: 48846.34
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56110220330440550Min: 619.85 / Avg: 633.58 / Max: 658.71Min: 521.15 / Avg: 521.98 / Max: 523.27Min: 618.47 / Avg: 623.89 / Max: 629.48Min: 615.1 / Avg: 629 / Max: 656.01

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: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56100200300400500SE +/- 35.57, N = 3SE +/- 7.15, N = 3SE +/- 27.08, N = 3SE +/- 4.37, N = 3433.96355.13447.68414.40MAX: 103381.73MAX: 67149.77MAX: 95136.87MAX: 91109.59
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-5680160240320400Min: 371.9 / Avg: 433.96 / Max: 495.11Min: 342.97 / Avg: 355.13 / Max: 367.73Min: 393.9 / Avg: 447.68 / Max: 480.18Min: 405.86 / Avg: 414.4 / Max: 420.25

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: 800 - Client Number: 400t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56150300450600750SE +/- 25.87, N = 3SE +/- 4.86, N = 3SE +/- 7.53, N = 3SE +/- 1.38, N = 3709.46598.49682.12679.86MAX: 113264.06MAX: 62432.53MAX: 98294.84MAX: 79453.07
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400t2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56120240360480600Min: 667.86 / Avg: 709.46 / Max: 756.89Min: 591.51 / Avg: 598.49 / Max: 607.85Min: 667.23 / Avg: 682.12 / Max: 691.46Min: 677.17 / Avg: 679.86 / Max: 681.77

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.

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-562K4K6K8K10KSE +/- 1.32, N = 3SE +/- 0.12, N = 3SE +/- 1.45, N = 3SE +/- 1.02, N = 3SE +/- 0.17, N = 3SE +/- 3.85, N = 31393.56503.385639.789996.56648.811914.27-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: 10001.76-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 1788.62 / MAX: 2033.221. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-562K4K6K8K10KMin: 1390.92 / Avg: 1393.56 / Max: 1395.09Min: 503.24 / Avg: 503.38 / Max: 503.62Min: 5637.98 / Avg: 5639.78 / Max: 5642.64Min: 9994.54 / Avg: 9996.56 / Max: 9997.76Min: 648.53 / Avg: 648.81 / Max: 649.12Min: 1906.77 / Avg: 1914.27 / Max: 1919.541. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-562004006008001000SE +/- 9.17, N = 15SE +/- 0.10, N = 3SE +/- 0.71, N = 3SE +/- 0.37, N = 3SE +/- 0.13, N = 3SE +/- 0.29, N = 3208.4756.21554.28947.5983.99169.57-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: 951.68-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 94.4 / MAX: 218.71. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56170340510680850Min: 169.06 / Avg: 208.47 / Max: 262.99Min: 56.01 / Avg: 56.21 / Max: 56.34Min: 553.24 / Avg: 554.28 / Max: 555.63Min: 947.11 / Avg: 947.59 / Max: 948.31Min: 83.77 / Avg: 83.99 / Max: 84.23Min: 169.05 / Avg: 169.57 / Max: 170.051. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-562004006008001000SE +/- 7.79, N = 15SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.55, N = 3SE +/- 0.29, N = 3SE +/- 0.29, N = 3193.4556.41553.52947.8683.91169.62-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: 958.26-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 104.86 / MAX: 209.351. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56170340510680850Min: 171 / Avg: 193.45 / Max: 262.74Min: 56.34 / Avg: 56.41 / Max: 56.52Min: 553.31 / Avg: 553.52 / Max: 553.7Min: 947.13 / Avg: 947.86 / Max: 948.94Min: 83.42 / Avg: 83.91 / Max: 84.42Min: 169.13 / Avg: 169.62 / Max: 170.151. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56306090120150SE +/- 0.17, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 340.676.6089.36153.128.6219.94-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: 153.75-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 10.34 / MAX: 37.941. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56306090120150Min: 40.33 / Avg: 40.67 / Max: 40.86Min: 6.6 / Avg: 6.6 / Max: 6.61Min: 89.31 / Avg: 89.36 / Max: 89.42Min: 152.99 / Avg: 153.12 / Max: 153.29Min: 8.55 / Avg: 8.62 / Max: 8.68Min: 19.92 / Avg: 19.94 / Max: 19.981. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-565K10K15K20K25KSE +/- 0.35, N = 3SE +/- 0.03, N = 3SE +/- 5.72, N = 3SE +/- 15.60, N = 3SE +/- 0.21, N = 3SE +/- 0.38, N = 3568.77261.1112852.0822391.86340.29868.35-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.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-564K8K12K16K20KMin: 568.2 / Avg: 568.77 / Max: 569.42Min: 261.06 / Avg: 261.11 / Max: 261.17Min: 12842.14 / Avg: 12852.08 / Max: 12861.96Min: 22371.66 / Avg: 22391.86 / Max: 22422.55Min: 339.88 / Avg: 340.29 / Max: 340.58Min: 867.91 / Avg: 868.35 / Max: 869.11. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-561122334455SE +/- 0.14, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 311.652.2130.0848.082.876.30-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: 50.49-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 3.57 / MAX: 21.51. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-561020304050Min: 11.46 / Avg: 11.65 / Max: 11.93Min: 2.2 / Avg: 2.21 / Max: 2.21Min: 30.04 / Avg: 30.08 / Max: 30.12Min: 48.06 / Avg: 48.08 / Max: 48.13Min: 2.86 / Avg: 2.87 / Max: 2.88Min: 6.28 / Avg: 6.3 / Max: 6.311. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5680160240320400SE +/- 0.27, N = 3SE +/- 0.00, N = 3SE +/- 0.13, N = 3SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.39, N = 366.4615.22221.50382.4720.7743.39-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.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5670140210280350Min: 65.98 / Avg: 66.46 / Max: 66.93Min: 15.22 / Avg: 15.22 / Max: 15.23Min: 221.26 / Avg: 221.5 / Max: 221.72Min: 382.15 / Avg: 382.47 / Max: 382.83Min: 20.71 / Avg: 20.77 / Max: 20.84Min: 42.66 / Avg: 43.39 / Max: 43.971. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5615003000450060007500SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 1.04, N = 3SE +/- 27.09, N = 15SE +/- 0.01, N = 3SE +/- 0.01, N = 39.904.353957.746990.105.8612.83-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.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5612002400360048006000Min: 9.89 / Avg: 9.9 / Max: 9.91Min: 4.35 / Avg: 4.35 / Max: 4.36Min: 3956.44 / Avg: 3957.74 / Max: 3959.8Min: 6845.86 / Avg: 6990.1 / Max: 7087.18Min: 5.84 / Avg: 5.86 / Max: 5.87Min: 12.8 / Avg: 12.83 / Max: 12.851. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56306090120150SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 314.7610.1969.89119.1715.9820.28-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: 120.21-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 14.46 / MAX: 30.61. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5620406080100Min: 14.74 / Avg: 14.76 / Max: 14.77Min: 10.19 / Avg: 10.19 / Max: 10.19Min: 69.88 / Avg: 69.89 / Max: 69.89Min: 119.04 / Avg: 119.17 / Max: 119.25Min: 15.97 / Avg: 15.98 / Max: 15.98Min: 20.24 / Avg: 20.28 / Max: 20.311. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-565001000150020002500SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.23, N = 3SE +/- 27.29, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 33.523.071255.022186.814.534.36-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.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56400800120016002000Min: 3.52 / Avg: 3.52 / Max: 3.52Min: 3.07 / Avg: 3.07 / Max: 3.07Min: 1254.6 / Avg: 1255.02 / Max: 1255.39Min: 2136.67 / Avg: 2186.81 / Max: 2230.56Min: 4.52 / Avg: 4.53 / Max: 4.54Min: 4.36 / Avg: 4.36 / Max: 4.371. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5615003000450060007500SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.51, N = 3SE +/- 76.95, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 326.5013.073871.336773.3118.5629.99-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.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5612002400360048006000Min: 26.47 / Avg: 26.5 / Max: 26.53Min: 13.06 / Avg: 13.07 / Max: 13.08Min: 3870.37 / Avg: 3871.33 / Max: 3872.11Min: 6619.53 / Avg: 6773.31 / Max: 6855.37Min: 18.52 / Avg: 18.56 / Max: 18.59Min: 29.89 / Avg: 29.99 / Max: 30.121. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56160320480640800SE +/- 0.58, N = 3SE +/- 0.02, N = 3SE +/- 0.24, N = 3SE +/- 0.26, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3155.1450.72431.90735.5864.70149.97-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: 738.23-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 81.05 / MAX: 193.41. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56130260390520650Min: 154.15 / Avg: 155.14 / Max: 156.17Min: 50.7 / Avg: 50.72 / Max: 50.75Min: 431.49 / Avg: 431.9 / Max: 432.32Min: 735.09 / Avg: 735.58 / Max: 735.98Min: 64.54 / Avg: 64.7 / Max: 64.84Min: 149.9 / Avg: 149.97 / Max: 150.041. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-564080120160200SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.24, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 311.325.16109.99181.948.2017.69-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.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56306090120150Min: 11.3 / Avg: 11.32 / Max: 11.34Min: 5.15 / Avg: 5.16 / Max: 5.17Min: 109.96 / Avg: 109.99 / Max: 110.03Min: 181.46 / Avg: 181.94 / Max: 182.27Min: 8.19 / Avg: 8.2 / Max: 8.22Min: 17.67 / Avg: 17.69 / Max: 17.71. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56306090120150SE +/- 0.14, N = 3SE +/- 0.00, N = 3SE +/- 0.21, N = 3SE +/- 0.21, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 323.645.0798.57135.876.7913.66-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.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56306090120150Min: 23.39 / Avg: 23.64 / Max: 23.86Min: 5.07 / Avg: 5.07 / Max: 5.08Min: 98.24 / Avg: 98.57 / Max: 98.95Min: 135.56 / Avg: 135.87 / Max: 136.28Min: 6.76 / Avg: 6.79 / Max: 6.82Min: 13.64 / Avg: 13.66 / Max: 13.691. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5690180270360450SE +/- 0.21, N = 3SE +/- 0.01, N = 3SE +/- 1.65, N = 3SE +/- 2.18, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 381.0022.53395.91394.9431.0899.81-pie - MIN: 64.65 / MAX: 134.64-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 380.35 / MAX: 415.38-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 380.82 / MAX: 408.15-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 55.12 / MAX: 150.041. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5670140210280350Min: 80.78 / Avg: 81 / Max: 81.42Min: 22.51 / Avg: 22.53 / Max: 22.54Min: 392.69 / Avg: 395.91 / Max: 398.12Min: 392.48 / Avg: 394.94 / Max: 399.29Min: 31.04 / Avg: 31.08 / Max: 31.11Min: 99.56 / Avg: 99.81 / Max: 99.991. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-561.25552.5113.76655.0226.2775SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.990.383.865.580.521.25-pie - MIN: 0.8 / MAX: 13.76-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: 6.48-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 0.71 / MAX: 15.891. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56246810Min: 0.99 / Avg: 0.99 / Max: 0.99Min: 0.38 / Avg: 0.38 / Max: 0.38Min: 3.84 / Avg: 3.86 / Max: 3.89Min: 5.57 / Avg: 5.58 / Max: 5.61Min: 0.52 / Avg: 0.52 / Max: 0.52Min: 1.25 / Avg: 1.25 / Max: 1.251. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5690180270360450SE +/- 0.27, N = 3SE +/- 0.01, N = 3SE +/- 3.34, N = 3SE +/- 0.26, N = 3SE +/- 0.09, N = 3SE +/- 0.65, N = 376.7227.60410.00423.9539.3892.77-pie - MIN: 58.8 / MAX: 121.69-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: 440.57-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 51.49 / MAX: 118.721. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5680160240320400Min: 76.39 / Avg: 76.72 / Max: 77.26Min: 27.59 / Avg: 27.6 / Max: 27.61Min: 403.68 / Avg: 410 / Max: 415.06Min: 423.43 / Avg: 423.95 / Max: 424.27Min: 39.2 / Avg: 39.38 / Max: 39.5Min: 91.48 / Avg: 92.77 / Max: 93.581. (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: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.610.275.527.330.400.60-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
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-563691215Min: 0.6 / Avg: 0.61 / Max: 0.61Min: 0.27 / Avg: 0.27 / Max: 0.27Min: 5.48 / Avg: 5.52 / Max: 5.55Min: 7.29 / Avg: 7.33 / Max: 7.38Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.6 / Avg: 0.6 / Max: 0.61. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latencyt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-560.17260.34520.51780.69040.863SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.007, N = 3SE +/- 0.009, N = 3SE +/- 0.007, N = 30.3990.2740.6090.7670.5301. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latencyt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-56246810Min: 0.39 / Avg: 0.4 / Max: 0.4Min: 0.27 / Avg: 0.27 / Max: 0.28Min: 0.6 / Avg: 0.61 / Max: 0.62Min: 0.76 / Avg: 0.77 / Max: 0.79Min: 0.52 / Avg: 0.53 / Max: 0.551. (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 Latencyt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-560.23090.46180.69270.92361.1545SE +/- 0.006, N = 3SE +/- 0.000, N = 3SE +/- 0.007, N = 3SE +/- 0.013, N = 3SE +/- 0.004, N = 30.4980.3470.7701.0260.6691. (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 Latencyt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-56246810Min: 0.49 / Avg: 0.5 / Max: 0.51Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.76 / Avg: 0.77 / Max: 0.78Min: 1 / Avg: 1.03 / Max: 1.05Min: 0.66 / Avg: 0.67 / Max: 0.681. (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 Latencyt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-564080120160200SE +/- 1.23, N = 12SE +/- 0.39, N = 3SE +/- 0.83, N = 3SE +/- 3.85, N = 12SE +/- 1.15, N = 12140.92150.60149.60168.19140.411. (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 Latencyt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-56306090120150Min: 133.62 / Avg: 140.92 / Max: 147.85Min: 150.05 / Avg: 150.6 / Max: 151.35Min: 148.43 / Avg: 149.6 / Max: 151.21Min: 152.14 / Avg: 168.19 / Max: 192.32Min: 133.77 / Avg: 140.41 / Max: 145.451. (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 Latencyt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-5650100150200250SE +/- 1.44, N = 8SE +/- 0.59, N = 3SE +/- 0.83, N = 3SE +/- 6.00, N = 9SE +/- 1.46, N = 12172.72188.68187.19210.61171.951. (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 Latencyt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-564080120160200Min: 163.46 / Avg: 172.72 / Max: 177.16Min: 187.92 / Avg: 188.68 / Max: 189.84Min: 186.29 / Avg: 187.19 / Max: 188.85Min: 194.6 / Avg: 210.61 / Max: 251.66Min: 163.59 / Avg: 171.95 / Max: 177.161. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-561632486480SE +/- 0.13, N = 3SE +/- 0.24, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 0.13, N = 350.9743.2943.9162.3064.8670.161. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDt2d-standard-60 AMD Milanm7a.16xlargec7g.16xlargec6g.16xlargec3d-standard-60 AMD Genoac2d-standard-561428425670Min: 50.72 / Avg: 50.97 / Max: 51.12Min: 42.96 / Avg: 43.29 / Max: 43.75Min: 43.62 / Avg: 43.91 / Max: 44.06Min: 62.25 / Avg: 62.3 / Max: 62.35Min: 64.53 / Avg: 64.86 / Max: 65.16Min: 69.96 / Avg: 70.16 / Max: 70.391. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3Dt2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56