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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Java Tests 2 Tests
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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-60openvino: Face Detection FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUnpb: BT.Copenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUnpb: FT.Ctensorflow: CPU - 64 - ResNet-50npb: MG.Cavifenc: 2nekrs: Kershawopenssl: ChaCha20-Poly1305openssl: RSA4096openssl: ChaCha20openssl: AES-128-GCMnpb: IS.Dopenssl: AES-256-GCMtensorflow: CPU - 32 - ResNet-50avifenc: 0openvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection FP16 - CPUtensorflow: CPU - 16 - ResNet-50build-linux-kernel: defconfignpb: EP.Dnpb: CG.Copenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUpgbench: 100 - 1000 - Read Only - Average Latencypgbench: 100 - 1000 - Read Onlypgbench: 100 - 800 - Read Onlypgbench: 100 - 800 - Read Only - Average Latencygromacs: MPI CPU - water_GMX50_barelibxsmm: 32libxsmm: 64openssl: SHA512nekrs: TurboPipe Periodicincompact3d: input.i3d 193 Cells Per Directionremhos: Sample Remap Examplerodinia: OpenMP Streamclusterrodinia: OpenMP CFD Solverheffte: c2c - FFTW - double - 128lammps: Rhodopsin Proteinincompact3d: input.i3d 129 Cells Per Directionamg: openvino: Face Detection FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenssl: RSA4096openvino: Weld Porosity Detection FP16 - CPUnpb: LU.Cnpb: SP.Clammps: 20k Atomsheffte: c2c - FFTW - float - 128heffte: r2c - FFTW - float - 128brl-cad: VGR Performance Metricopenradioss: Chrysler Neon 1Mbuild-nodejs: Time To Compilecoremark: CoreMark Size 666 - Iterations Per Secondcassandra: Writesblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlylaghos: Sedov Blast Wave, ube_922_hex.meshblender: Barbershop - CPU-Onlybuild-linux-kernel: allmodconfigavifenc: 6stockfish: Total Timenginx: 1000blender: Pabellon Barcelona - CPU-Onlyrodinia: OpenMP LavaMDheffte: r2c - FFTW - double - 128blender: Fishy Cat - CPU-Onlynginx: 500avifenc: 6, Losslessopenssl: SHA256build-gem5: Time To Compilecompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingrodinia: OpenMP Leukocytelaghos: Triple Point Problemapache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 800 - 100 - 800 - 400apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 500 - 400pgbench: 100 - 1000 - Read Writeapache-iotdb: 500 - 100 - 800 - 400rodinia: OpenMP HotSpot3Dpgbench: 100 - 800 - Read Writeapache-iotdb: 800 - 100 - 800 - 400pgbench: 100 - 1000 - Read Write - Average Latencypgbench: 100 - 800 - Read Write - Average Latencyopenradioss: Rubber O-Ring Seal Installationopenradioss: Bird Strike on Windshieldopenradioss: Cell Phone Drop Testopenradioss: Bumper Beamc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlargec7g.16xlargec2d-standard-56340.29645.744.5396257.4854971.26964.4618.56761.1443607.041764.21576.9439647.4769.6842701.8341.5384289858333123909304773493077.61739809498933430952844402422.4029332804849762.7478.0681875.281389.698.204166.3918.3950.993783.6019597.860.4142.75142.902043.056.7920.77185.298.626605.122.874.391255.4489.714702270573472394000028.019687733.3626.44810.02557.311617.4235.87157885962889833648.8131.085.8683.9983.9135.1939.380.5264.703650.5720079.515.9873563.1339919.7119.77688.6301148.575510819337.70198.3941445843.521552228640259.553.250105894457180537.8464.86293.6005187350.446.88946211821313176.76727179522621145.498209.003476256535359884447.6834332237418.5933268158623.8984.166682.1289.65147.3138.8292.87568.77565.343.52122720.6144049.15370.0326.50390.7229668.12633.76225.4854846.1820.9047291.9641.9893681935833119647720337860844.61802491457702346040826101752.6221602596764020.3678.3501014.70368.3911.321285.4710.7318.2933.3994935.6816649.370.6173.7478.961512.5723.6466.4696.5840.674239.5211.650.498200818620037840.3995.289289.2554.222244804183273062000024.572118116.3266.4237.36860.034327.8285.630573279204277671393.5681.009.90208.47193.4526.2876.720.99155.142646.5812973.014.7694247.7743228.1126.734109.676196.948629363327.88191.7061730658.44944018716934.2789.35364.64351.58333.3513.205112958788155609.04112.6450.974106.02945.22162957.757.63950884997103170.93027897324725542.010222.303492589935068557433.9634123810415.08334668045793633.5888.5355682709.46172.717140.91672.06123.6130.1275.6822391.860.152186.8124229.14136.162.536773.312.36178.827.362.6121386.3725661.04167.946175886000046715126487215683.267324778360158788510970915.80129198197600270.0688.396.53181.9420.790.1102.2162213.7613343.357.331.061.060.14135.87382.471.36153.120.4648.081.02697503110432670.7672.766312.7589.514384917863222171000025.874832820.81614.2125.98332.357526.0415.6181168610328936679996.56394.946990.10947.59947.860.04423.955.58735.585.502640.0119.1718807.759716.9925.059129.172202.445286.2011259870.716902217355321.29409.0974.46781807706158700.3662.30179.0156162553.858.87942288513973224.414239735234046179.5247764784210.608168.191261.111222.993.07193219.1292100.801419.1113.071158.4381996.813146.041049.66103413.02100.15121293.8035.8057667846667216773475533996017.53083080450835925453627404085.2052211308052787.1965.4473132.482417.345.167222.1031.7269.5527.7097501.7642007.570.27284.42283.403666.895.0715.22315.146.6010382.222.210.347288094029230090.2747.655643.41201.826481506820477479666711.591308613.8675.9306.48071.109532.7852.896026611843444333503.3822.534.3556.2156.4161.1927.600.3850.726177.9431583.810.19210544.87102392.4031.471121.505190.602788704190.79154.4412158639.27488327858527.7471.51409.73276.23267.9652.649135419169224859.0991.8843.286124.36337.12233014.725.67862253861197153.80033063328259334.661218.864450233344699315355.1342643903340.11408992105300521.9874.7785312598.49188.676150.60159.18115.9626.1466.2712852.080.261255.0238934.15180.792.533871.332.44258.5910.154.5139830.1849799.57102.081325216666774306515763713624.41032346086833323451119831797.76283187826230170.58714.3111.19109.9933.230.1880.3473648.4322031.275.521.811.810.2598.57221.502.3289.360.830.080.770129852713143170.6094.194494.2785.032045616820399173666713.791938814.25811.4574.35352.477937.4623.1587883717673490005639.78395.913957.74554.28553.520.08410.003.86431.909.0910181.169.8928356.7017223.9536.725175.729291.966236.4821608877.078630316573409.66316.0053.178119502473255540.0343.905127.985254864.935.91454438555170179.999310517285523231.8553425348187.188149.597868.35466.414.3694143.8535877.14280.2629.99301.6021951.031022.81322.2747216.0521.8254301.2546.541819529333382221279643468650.61208253059531295487666872190.3911840259574021.4888.810689.56701.0017.692215.747.2520.0041.1682579.9223089.420.682.4782.471089.8313.6643.3993.2319.943195.586.300.669149444515099870.5303.951306.3581.113104599007543108333325.415339124.6436.6589.34361.184618.0286.144091929818772671914.2799.8112.83169.57169.6216.0392.771.25149.971581.237181.420.2878848.0848423.5218.369104.534164.720410738363.60231.3841212209.81928017822749.01125.73239.48468.20452.7483.80284017019161127.09150.0670.15799.648059.22160196.248.08039825794840192.60123043020819246.741199.803546071335377376414.4034625899408.13333959685820629.0090.7365702679.86171.947140.41069.43146.5636.8498.45OpenBenchmarking.org

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge5K10K15K20K25KSE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 0.35, N = 3SE +/- 0.38, N = 3SE +/- 5.72, N = 3SE +/- 15.60, N = 3261.11340.29568.77868.3512852.0822391.86-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 12821.62 / MAX: 12882.02-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 22364.17 / MAX: 22423.421. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge4K8K12K16K20KMin: 261.06 / Avg: 261.11 / Max: 261.17Min: 339.88 / Avg: 340.29 / Max: 340.58Min: 568.2 / Avg: 568.77 / Max: 569.42Min: 867.91 / Avg: 868.35 / Max: 869.1Min: 12842.14 / Avg: 12852.08 / Max: 12861.96Min: 22371.66 / Avg: 22391.86 / Max: 22422.551. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge30060090012001500SE +/- 0.51, N = 3SE +/- 0.79, N = 3SE +/- 0.37, N = 3SE +/- 1.07, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31222.99645.74565.34466.410.260.15-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge2004006008001000Min: 1222.15 / Avg: 1222.99 / Max: 1223.92Min: 644.52 / Avg: 645.74 / Max: 647.21Min: 564.63 / Avg: 565.34 / Max: 565.9Min: 464.34 / Avg: 466.41 / Max: 467.94Min: 0.26 / Avg: 0.26 / Max: 0.26Min: 0.15 / Avg: 0.15 / Max: 0.151. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUm7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoac7g.16xlargec6g.16xlarge5001000150020002500SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.23, N = 3SE +/- 27.29, N = 33.073.524.364.531255.022186.81-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 1251.83 / MAX: 1261.9-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 2135.06 / MAX: 2233.341. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUm7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoac7g.16xlargec6g.16xlarge400800120016002000Min: 3.07 / Avg: 3.07 / Max: 3.07Min: 3.52 / Avg: 3.52 / Max: 3.52Min: 4.36 / Avg: 4.36 / Max: 4.37Min: 4.52 / Avg: 4.53 / Max: 4.54Min: 1254.6 / Avg: 1255.02 / Max: 1255.39Min: 2136.67 / Avg: 2186.81 / Max: 2230.561. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.Cm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c7g.16xlargec6g.16xlarge40K80K120K160K200KSE +/- 560.75, N = 3SE +/- 42.77, N = 3SE +/- 122.23, N = 3SE +/- 80.45, N = 3SE +/- 19.48, N = 3SE +/- 7.69, N = 3193219.12122720.6196257.4894143.8538934.1524229.141. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.Cm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c7g.16xlargec6g.16xlarge30K60K90K120K150KMin: 192102.72 / Avg: 193219.12 / Max: 193869.81Min: 122655.41 / Avg: 122720.61 / Max: 122801.16Min: 96031.29 / Avg: 96257.48 / Max: 96450.87Min: 94056.33 / Avg: 94143.85 / Max: 94304.53Min: 38899.67 / Avg: 38934.15 / Max: 38967.08Min: 24214.1 / Avg: 24229.14 / Max: 24239.431. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge20K40K60K80K100KSE +/- 453.62, N = 3SE +/- 45.46, N = 3SE +/- 332.93, N = 3SE +/- 26.90, N = 3SE +/- 0.71, N = 3SE +/- 0.48, N = 392100.8054971.2644049.1535877.14180.79136.16-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge16K32K48K64K80KMin: 91645.52 / Avg: 92100.8 / Max: 93008.04Min: 54880.77 / Avg: 54971.26 / Max: 55024.16Min: 43415.23 / Avg: 44049.15 / Max: 44542.58Min: 35832.89 / Avg: 35877.14 / Max: 35925.76Min: 179.9 / Avg: 180.79 / Max: 182.2Min: 135.26 / Avg: 136.16 / Max: 136.91. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge30060090012001500SE +/- 0.70, N = 3SE +/- 0.60, N = 3SE +/- 0.96, N = 3SE +/- 0.37, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 31419.11964.46370.03280.262.532.53-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge2004006008001000Min: 1418.14 / Avg: 1419.11 / Max: 1420.46Min: 963.5 / Avg: 964.46 / Max: 965.57Min: 368.12 / Avg: 370.03 / Max: 371.04Min: 279.75 / Avg: 280.26 / Max: 280.97Min: 2.51 / Avg: 2.53 / Max: 2.55Min: 2.5 / Avg: 2.53 / Max: 2.551. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge15003000450060007500SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.51, N = 3SE +/- 76.95, N = 313.0718.5626.5029.993871.336773.31-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 3868.49 / MAX: 3876.89-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6616.83 / MAX: 6859.991. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge12002400360048006000Min: 13.06 / Avg: 13.07 / Max: 13.08Min: 18.52 / Avg: 18.56 / Max: 18.59Min: 26.47 / Avg: 26.5 / Max: 26.53Min: 29.89 / Avg: 29.99 / Max: 30.12Min: 3870.37 / Avg: 3871.33 / Max: 3872.11Min: 6619.53 / Avg: 6773.31 / Max: 6855.371. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge2004006008001000SE +/- 0.18, N = 3SE +/- 1.75, N = 3SE +/- 1.37, N = 3SE +/- 2.14, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 31158.43761.14390.72301.602.442.36-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge2004006008001000Min: 1158.16 / Avg: 1158.43 / Max: 1158.76Min: 758.9 / Avg: 761.14 / Max: 764.58Min: 387.99 / Avg: 390.72 / Max: 392.35Min: 298.99 / Avg: 301.6 / Max: 305.84Min: 2.41 / Avg: 2.44 / Max: 2.48Min: 2.36 / Avg: 2.36 / Max: 2.361. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge20K40K60K80K100KSE +/- 31.79, N = 3SE +/- 18.42, N = 3SE +/- 14.46, N = 3SE +/- 3.74, N = 3SE +/- 0.88, N = 3SE +/- 0.39, N = 381996.8143607.0429668.1221951.03258.59178.82-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge14K28K42K56K70KMin: 81936.96 / Avg: 81996.81 / Max: 82045.32Min: 43584.18 / Avg: 43607.04 / Max: 43643.5Min: 29641.49 / Avg: 29668.12 / Max: 29691.19Min: 21947.12 / Avg: 21951.03 / Max: 21958.51Min: 256.88 / Avg: 258.59 / Max: 259.84Min: 178.05 / Avg: 178.82 / Max: 179.261. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge7001400210028003500SE +/- 1.10, N = 3SE +/- 4.38, N = 3SE +/- 1.21, N = 3SE +/- 3.66, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 33146.041764.211022.81633.7610.157.36-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge5001000150020002500Min: 3144.27 / Avg: 3146.04 / Max: 3148.06Min: 1756.45 / Avg: 1764.21 / Max: 1771.62Min: 1020.4 / Avg: 1022.81 / Max: 1024.28Min: 627.99 / Avg: 633.76 / Max: 640.55Min: 10.11 / Avg: 10.15 / Max: 10.18Min: 7.34 / Avg: 7.36 / Max: 7.381. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge2004006008001000SE +/- 0.11, N = 3SE +/- 1.04, N = 3SE +/- 2.90, N = 3SE +/- 0.93, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31049.66576.94322.27225.484.512.61-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge2004006008001000Min: 1049.45 / Avg: 1049.66 / Max: 1049.83Min: 575.03 / Avg: 576.94 / Max: 578.62Min: 317.96 / Avg: 322.27 / Max: 327.8Min: 223.89 / Avg: 225.48 / Max: 227.11Min: 4.51 / Avg: 4.51 / Max: 4.52Min: 2.61 / Avg: 2.61 / Max: 2.621. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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: FT.Cm7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec3d-standard-60 AMD Genoac6g.16xlarge20K40K60K80K100KSE +/- 446.85, N = 3SE +/- 137.77, N = 3SE +/- 57.93, N = 3SE +/- 13.54, N = 3SE +/- 600.19, N = 15SE +/- 2.85, N = 3103413.0254846.1847216.0539830.1839647.4721386.371. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.Cm7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec3d-standard-60 AMD Genoac6g.16xlarge20K40K60K80K100KMin: 102955.06 / Avg: 103413.02 / Max: 104306.63Min: 54635.02 / Avg: 54846.18 / Max: 55105.07Min: 47105.53 / Avg: 47216.05 / Max: 47301.42Min: 39807.78 / Avg: 39830.18 / Max: 39854.55Min: 38171.82 / Avg: 39647.47 / Max: 44801.35Min: 21381 / Avg: 21386.37 / Max: 21390.731. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

TensorFlow

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: 64 - Model: ResNet-50m7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milan20406080100SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3100.1569.6821.8220.90
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50m7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milan20406080100Min: 100.06 / Avg: 100.15 / Max: 100.22Min: 69.57 / Avg: 69.68 / Max: 69.81Min: 21.77 / Avg: 21.82 / Max: 21.91Min: 20.85 / Avg: 20.9 / Max: 20.94

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'

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: MG.Cm7a.16xlargec2d-standard-56c7g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge30K60K90K120K150KSE +/- 526.14, N = 3SE +/- 99.78, N = 3SE +/- 10.47, N = 3SE +/- 145.06, N = 3SE +/- 29.69, N = 3SE +/- 10.99, N = 3121293.8054301.2549799.5747291.9642701.8325661.041. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.Cm7a.16xlargec2d-standard-56c7g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlarge20K40K60K80K100KMin: 120246.22 / Avg: 121293.8 / Max: 121903.55Min: 54174.71 / Avg: 54301.25 / Max: 54498.16Min: 49783.12 / Avg: 49799.57 / Max: 49819.02Min: 47040.34 / Avg: 47291.96 / Max: 47542.83Min: 42650.19 / Avg: 42701.83 / Max: 42753.02Min: 25642.24 / Avg: 25661.04 / Max: 25680.311. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 2m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge4080120160200SE +/- 0.22, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.22, N = 335.8141.5441.9946.54102.08167.951. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 2m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge306090120150Min: 35.56 / Avg: 35.81 / Max: 36.24Min: 41.42 / Avg: 41.54 / Max: 41.75Min: 41.94 / Avg: 41.99 / Max: 42.04Min: 46.47 / Avg: 46.54 / Max: 46.61Min: 101.87 / Avg: 102.08 / Max: 102.31Min: 167.72 / Avg: 167.95 / Max: 168.381. (CXX) g++ options: -O3 -fPIC -lm

nekRS

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

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: Kershawc2d-standard-56m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge2000M4000M6000M8000M10000MSE +/- 88231529.95, N = 3SE +/- 49077561.86, N = 3SE +/- 57202190.49, N = 12SE +/- 84802173.02, N = 12SE +/- 2525353.66, N = 3SE +/- 2970005.61, N = 38195293333766784666742898583333681935833325216666717588600001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: Kershawc2d-standard-56m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge1400M2800M4200M5600M7000MMin: 8098650000 / Avg: 8195293333.33 / Max: 8371480000Min: 7597650000 / Avg: 7667846666.67 / Max: 7762360000Min: 3970840000 / Avg: 4289858333.33 / Max: 4468840000Min: 2808430000 / Avg: 3681935833.33 / Max: 3868600000Min: 3247300000 / Avg: 3252166666.67 / Max: 3255770000Min: 1755880000 / Avg: 1758860000 / Max: 17648000001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

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: ChaCha20-Poly1305m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge50000M100000M150000M200000M250000MSE +/- 85099636.22, N = 3SE +/- 3664727.47, N = 3SE +/- 198663058.81, N = 3SE +/- 25534569.58, N = 3SE +/- 814473.51, N = 3SE +/- 2259404.37, N = 3216773475533123909304773119647720337822212796437430651576346715126487-m64 -lssl -lcrypto-m64 -lssl -lcrypto-m64 -lssl -lcrypto-m64-lssl -lcrypto1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge40000M80000M120000M160000M200000MMin: 216656251290 / Avg: 216773475533.33 / Max: 216938950660Min: 123902548100 / Avg: 123909304773.33 / Max: 123915143030Min: 119258733230 / Avg: 119647720336.67 / Max: 119912340960Min: 82170339600 / Avg: 82221279643.33 / Max: 82249892390Min: 74305439880 / Avg: 74306515763.33 / Max: 74308112930Min: 46710776350 / Avg: 46715126486.67 / Max: 467183607801. (CC) gcc options: -pthread -O3 -ldl

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096m7a.16xlarget2d-standard-60 AMD Milanc7g.16xlargec3d-standard-60 AMD Genoac2d-standard-56c6g.16xlarge200K400K600K800K1000KSE +/- 367.82, N = 3SE +/- 644.45, N = 3SE +/- 189.99, N = 3SE +/- 50.91, N = 3SE +/- 418.00, N = 3SE +/- 6.55, N = 3996017.5860844.6713624.4493077.6468650.6215683.2-m64 -lssl -lcrypto-m64 -lssl -lcrypto-lssl -lcrypto-m64 -lssl -lcrypto-m64-lssl -lcrypto1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096m7a.16xlarget2d-standard-60 AMD Milanc7g.16xlargec3d-standard-60 AMD Genoac2d-standard-56c6g.16xlarge200K400K600K800K1000KMin: 995487.9 / Avg: 996017.53 / Max: 996724.5Min: 859670.9 / Avg: 860844.6 / Max: 861892.7Min: 713246.1 / Avg: 713624.4 / Max: 713844.5Min: 492977.7 / Avg: 493077.6 / Max: 493144.6Min: 467814.9 / Avg: 468650.57 / Max: 469088.9Min: 215670.9 / Avg: 215683.23 / Max: 215693.21. (CC) gcc options: -pthread -O3 -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20m7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c7g.16xlargec6g.16xlarge70000M140000M210000M280000M350000MSE +/- 280681661.27, N = 3SE +/- 47698640.87, N = 3SE +/- 12326205.97, N = 3SE +/- 13175767.44, N = 3SE +/- 926708.87, N = 3SE +/- 372419.81, N = 330830804508318024914577017398094989312082530595310323460868367324778360-m64 -lssl -lcrypto-m64 -lssl -lcrypto-m64 -lssl -lcrypto-m64-lssl -lcrypto1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20m7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c7g.16xlargec6g.16xlarge50000M100000M150000M200000M250000MMin: 307864278900 / Avg: 308308045083.33 / Max: 308827670120Min: 180164591620 / Avg: 180249145770 / Max: 180329677620Min: 173956964900 / Avg: 173980949893.33 / Max: 173997876570Min: 120799023100 / Avg: 120825305953.33 / Max: 120840093970Min: 103232812060 / Avg: 103234608683.33 / Max: 103235901300Min: 67324185260 / Avg: 67324778360 / Max: 673254651201. (CC) gcc options: -pthread -O3 -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMm7a.16xlargec3d-standard-60 AMD Genoac7g.16xlarget2d-standard-60 AMD Milanc6g.16xlargec2d-standard-56130000M260000M390000M520000M650000MSE +/- 1818538727.73, N = 3SE +/- 342949201.09, N = 3SE +/- 38386470.30, N = 3SE +/- 376720190.05, N = 3SE +/- 5537993.15, N = 3SE +/- 2205754.73, N = 3592545362740343095284440332345111983234604082610158788510970129548766687-m64 -lssl -lcrypto-m64 -lssl -lcrypto-lssl -lcrypto-m64 -lssl -lcrypto1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMm7a.16xlargec3d-standard-60 AMD Genoac7g.16xlarget2d-standard-60 AMD Milanc6g.16xlargec2d-standard-56100000M200000M300000M400000M500000MMin: 589110555170 / Avg: 592545362740 / Max: 595298537750Min: 342460098150 / Avg: 343095284440 / Max: 343637034330Min: 332289188660 / Avg: 332345111983.33 / Max: 332418625810Min: 233868254690 / Avg: 234604082610 / Max: 235112254400Min: 158781697500 / Avg: 158788510970 / Max: 158799480150Min: 129546533270 / Avg: 129548766686.67 / Max: 1295531780801. (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: IS.Dm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56c7g.16xlarget2d-standard-60 AMD Milanc6g.16xlarge9001800270036004500SE +/- 3.14, N = 3SE +/- 36.45, N = 15SE +/- 3.14, N = 3SE +/- 1.25, N = 3SE +/- 142.62, N = 12SE +/- 0.58, N = 34085.202422.402190.391797.761752.62915.801. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.Dm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56c7g.16xlarget2d-standard-60 AMD Milanc6g.16xlarge7001400210028003500Min: 4078.99 / Avg: 4085.2 / Max: 4089.09Min: 2271.09 / Avg: 2422.4 / Max: 2686.31Min: 2184.71 / Avg: 2190.39 / Max: 2195.54Min: 1795.92 / Avg: 1797.76 / Max: 1800.16Min: 1265.34 / Avg: 1752.62 / Max: 2341.41Min: 914.79 / Avg: 915.8 / Max: 916.81. (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

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: AES-256-GCMm7a.16xlargec3d-standard-60 AMD Genoac7g.16xlarget2d-standard-60 AMD Milanc6g.16xlargec2d-standard-56110000M220000M330000M440000M550000MSE +/- 1691817104.57, N = 3SE +/- 71241287.97, N = 3SE +/- 10793448.32, N = 3SE +/- 178290221.71, N = 3SE +/- 2100313.05, N = 3SE +/- 18032723.86, N = 3522113080527293328048497283187826230216025967640129198197600118402595740-m64 -lssl -lcrypto-m64 -lssl -lcrypto-lssl -lcrypto-m64 -lssl -lcrypto1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMm7a.16xlargec3d-standard-60 AMD Genoac7g.16xlarget2d-standard-60 AMD Milanc6g.16xlargec2d-standard-5690000M180000M270000M360000M450000MMin: 518729446740 / Avg: 522113080526.67 / Max: 523806361740Min: 293211079750 / Avg: 293328048496.67 / Max: 293456993480Min: 283166260970 / Avg: 283187826230 / Max: 283199445670Min: 215696831010 / Avg: 216025967640 / Max: 216309338390Min: 129194047620 / Avg: 129198197600 / Max: 129200835790Min: 118371375790 / Avg: 118402595740 / Max: 1184338429601. (CC) gcc options: -pthread -O3 -ldl

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: 32 - Model: ResNet-50m7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milan20406080100SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 387.1962.7421.4820.36
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50m7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milan20406080100Min: 87.01 / Avg: 87.19 / Max: 87.29Min: 62.55 / Avg: 62.74 / Max: 62.84Min: 21.34 / Avg: 21.48 / Max: 21.6Min: 20.25 / Avg: 20.36 / Max: 20.47

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'

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 0m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge60120180240300SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.31, N = 3SE +/- 0.42, N = 3SE +/- 0.34, N = 365.4578.0778.3588.81170.59270.071. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 0m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge50100150200250Min: 65.25 / Avg: 65.45 / Max: 65.58Min: 77.94 / Avg: 78.07 / Max: 78.18Min: 78.26 / Avg: 78.35 / Max: 78.51Min: 88.24 / Avg: 88.81 / Max: 89.29Min: 169.75 / Avg: 170.59 / Max: 171.05Min: 269.44 / Avg: 270.07 / Max: 270.581. (CXX) g++ options: -O3 -fPIC -lm

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge7001400210028003500SE +/- 0.31, N = 3SE +/- 0.47, N = 3SE +/- 0.56, N = 3SE +/- 0.77, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33132.481875.281014.70689.5614.318.39-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge5001000150020002500Min: 3131.9 / Avg: 3132.48 / Max: 3132.96Min: 1874.48 / Avg: 1875.28 / Max: 1876.11Min: 1013.98 / Avg: 1014.7 / Max: 1015.81Min: 688.29 / Avg: 689.56 / Max: 690.94Min: 14.31 / Avg: 14.31 / Max: 14.31Min: 8.38 / Avg: 8.39 / Max: 8.41. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge5001000150020002500SE +/- 1.65, N = 3SE +/- 6.33, N = 3SE +/- 0.69, N = 3SE +/- 1.55, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32417.341389.69701.00368.3911.196.53-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge400800120016002000Min: 2414.33 / Avg: 2417.34 / Max: 2420.01Min: 1379.32 / Avg: 1389.69 / Max: 1401.18Min: 699.63 / Avg: 701 / Max: 701.85Min: 366.65 / Avg: 368.39 / Max: 371.49Min: 11.18 / Avg: 11.19 / Max: 11.2Min: 6.52 / Avg: 6.53 / Max: 6.541. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge4080120160200SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.24, N = 35.168.2011.3217.69109.99181.94-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 108.37 / MAX: 112.83-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 180.71 / MAX: 184.111. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge306090120150Min: 5.15 / Avg: 5.16 / Max: 5.17Min: 8.19 / Avg: 8.2 / Max: 8.22Min: 11.3 / Avg: 11.32 / Max: 11.34Min: 17.67 / Avg: 17.69 / Max: 17.7Min: 109.96 / Avg: 109.99 / Max: 110.03Min: 181.46 / Avg: 181.94 / Max: 182.271. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge15003000450060007500SE +/- 4.07, N = 3SE +/- 8.74, N = 3SE +/- 3.06, N = 3SE +/- 15.96, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 37222.104166.392215.741285.4733.2320.79-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge13002600390052006500Min: 7217.47 / Avg: 7222.1 / Max: 7230.22Min: 4150.59 / Avg: 4166.39 / Max: 4180.76Min: 2211.71 / Avg: 2215.74 / Max: 2221.74Min: 1254.15 / Avg: 1285.47 / Max: 1306.47Min: 33.19 / Avg: 33.23 / Max: 33.27Min: 20.77 / Avg: 20.79 / Max: 20.81. (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: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 331.7218.3910.737.250.180.10-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge714212835Min: 31.71 / Avg: 31.72 / Max: 31.73Min: 18.38 / Avg: 18.39 / Max: 18.4Min: 10.72 / Avg: 10.73 / Max: 10.74Min: 7.21 / Avg: 7.25 / Max: 7.28Min: 0.18 / Avg: 0.18 / Max: 0.18Min: 0.1 / Avg: 0.1 / Max: 0.11. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50m7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milan1530456075SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 369.5550.9920.0018.29
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50m7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milan1326395265Min: 69.33 / Avg: 69.55 / Max: 69.95Min: 50.94 / Avg: 50.99 / Max: 51.07Min: 19.9 / Avg: 20 / Max: 20.06Min: 18.2 / Avg: 18.29 / Max: 18.35

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'

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigm7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge20406080100SE +/- 0.29, N = 5SE +/- 0.37, N = 5SE +/- 0.54, N = 3SE +/- 0.65, N = 3SE +/- 0.82, N = 327.7133.4041.1780.35102.22
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigm7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge20406080100Min: 27.39 / Avg: 27.71 / Max: 28.85Min: 32.98 / Avg: 33.4 / Max: 34.87Min: 40.61 / Avg: 41.17 / Max: 42.25Min: 79.65 / Avg: 80.35 / Max: 81.65Min: 101.39 / Avg: 102.22 / Max: 103.85

Build: defconfig

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

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: EP.Dm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac7g.16xlargec2d-standard-56c6g.16xlarge16003200480064008000SE +/- 8.54, N = 3SE +/- 51.21, N = 5SE +/- 30.67, N = 3SE +/- 25.41, N = 13SE +/- 36.32, N = 3SE +/- 7.28, N = 37501.764935.683783.603648.432579.922213.761. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.Dm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac7g.16xlargec2d-standard-56c6g.16xlarge13002600390052006500Min: 7484.92 / Avg: 7501.76 / Max: 7512.63Min: 4735 / Avg: 4935.68 / Max: 5011.74Min: 3722.29 / Avg: 3783.6 / Max: 3815.81Min: 3364.1 / Avg: 3648.43 / Max: 3691.57Min: 2507.31 / Avg: 2579.92 / Max: 2617.68Min: 2205.13 / Avg: 2213.76 / Max: 2228.231. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.Cm7a.16xlargec2d-standard-56c7g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge9K18K27K36K45KSE +/- 178.46, N = 3SE +/- 206.16, N = 7SE +/- 25.33, N = 3SE +/- 77.92, N = 3SE +/- 1215.82, N = 15SE +/- 23.52, N = 342007.5723089.4222031.2719597.8616649.3713343.351. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.Cm7a.16xlargec2d-standard-56c7g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge7K14K21K28K35KMin: 41701.33 / Avg: 42007.57 / Max: 42319.44Min: 22128.79 / Avg: 23089.42 / Max: 23931.51Min: 21980.64 / Avg: 22031.27 / Max: 22058.13Min: 19455.2 / Avg: 19597.86 / Max: 19723.53Min: 9077.23 / Avg: 16649.37 / Max: 20064.88Min: 13308.3 / Avg: 13343.35 / Max: 13388.041. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 30.270.400.600.615.527.33-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 4.5 / MAX: 9.53-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6.54 / MAX: 9.951. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge3691215Min: 0.27 / Avg: 0.27 / Max: 0.27Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.6 / Avg: 0.6 / Max: 0.6Min: 0.6 / Avg: 0.61 / Max: 0.61Min: 5.48 / Avg: 5.52 / Max: 5.55Min: 7.29 / Avg: 7.33 / Max: 7.381. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge60120180240300SE +/- 0.53, N = 3SE +/- 0.23, N = 3SE +/- 0.13, N = 3SE +/- 3.12, N = 15SE +/- 0.00, N = 3SE +/- 0.00, N = 3284.42142.7582.4773.741.811.06-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge50100150200250Min: 283.76 / Avg: 284.42 / Max: 285.46Min: 142.34 / Avg: 142.75 / Max: 143.12Min: 82.25 / Avg: 82.47 / Max: 82.69Min: 56.94 / Avg: 73.74 / Max: 88.62Min: 1.8 / Avg: 1.81 / Max: 1.81Min: 1.05 / Avg: 1.06 / Max: 1.061. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge60120180240300SE +/- 0.29, N = 3SE +/- 0.48, N = 3SE +/- 0.14, N = 3SE +/- 2.74, N = 15SE +/- 0.00, N = 3SE +/- 0.00, N = 3283.40142.9082.4778.961.811.06-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge50100150200250Min: 282.83 / Avg: 283.4 / Max: 283.77Min: 142.05 / Avg: 142.9 / Max: 143.72Min: 82.23 / Avg: 82.47 / Max: 82.71Min: 56.98 / Avg: 78.96 / Max: 87.6Min: 1.81 / Avg: 1.81 / Max: 1.81Min: 1.05 / Avg: 1.06 / Max: 1.061. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge8001600240032004000SE +/- 1.69, N = 3SE +/- 3.16, N = 3SE +/- 1.12, N = 3SE +/- 1.05, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 153666.892043.051512.571089.830.250.14-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge6001200180024003000Min: 3663.52 / Avg: 3666.89 / Max: 3668.86Min: 2037.92 / Avg: 2043.05 / Max: 2048.81Min: 1510.65 / Avg: 1512.57 / Max: 1514.53Min: 1088.1 / Avg: 1089.83 / Max: 1091.74Min: 0.25 / Avg: 0.25 / Max: 0.25Min: 0.14 / Avg: 0.14 / Max: 0.151. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge306090120150SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 3SE +/- 0.21, N = 35.076.7913.6623.6498.57135.87-pie - MIN: 9.57 / MAX: 42.22-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 94.4 / MAX: 118.88-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 132.35 / MAX: 148.641. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge306090120150Min: 5.07 / Avg: 5.07 / Max: 5.08Min: 6.76 / Avg: 6.79 / Max: 6.82Min: 13.64 / Avg: 13.66 / Max: 13.69Min: 23.39 / Avg: 23.64 / Max: 23.86Min: 98.24 / Avg: 98.57 / Max: 98.95Min: 135.56 / Avg: 135.87 / Max: 136.281. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge80160240320400SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.39, N = 3SE +/- 0.27, N = 3SE +/- 0.13, N = 3SE +/- 0.20, N = 315.2220.7743.3966.46221.50382.47-pie - MIN: 25.85 / MAX: 122.2-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 220.78 / MAX: 223.35-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 381.67 / MAX: 383.431. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge70140210280350Min: 15.22 / Avg: 15.22 / Max: 15.23Min: 20.71 / Avg: 20.77 / Max: 20.84Min: 42.66 / Avg: 43.39 / Max: 43.97Min: 65.98 / Avg: 66.46 / Max: 66.93Min: 221.26 / Avg: 221.5 / Max: 221.72Min: 382.15 / Avg: 382.47 / Max: 382.831. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge70140210280350SE +/- 0.11, N = 3SE +/- 0.25, N = 3SE +/- 0.37, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3315.14185.2996.5893.232.321.36-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge60120180240300Min: 314.92 / Avg: 315.14 / Max: 315.26Min: 184.93 / Avg: 185.29 / Max: 185.76Min: 95.94 / Avg: 96.58 / Max: 97.21Min: 93.2 / Avg: 93.23 / Max: 93.26Min: 2.31 / Avg: 2.32 / Max: 2.32Min: 1.36 / Avg: 1.36 / Max: 1.361. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge306090120150SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 36.608.6219.9440.6789.36153.12-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 10.34 / MAX: 37.94-pie - MIN: 12.07 / MAX: 59.44-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 88.98 / MAX: 90.65-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 152.69 / MAX: 153.751. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge306090120150Min: 6.6 / Avg: 6.6 / Max: 6.61Min: 8.55 / Avg: 8.62 / Max: 8.68Min: 19.92 / Avg: 19.94 / Max: 19.98Min: 40.33 / Avg: 40.67 / Max: 40.86Min: 89.31 / Avg: 89.36 / Max: 89.42Min: 152.99 / Avg: 153.12 / Max: 153.291. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge2K4K6K8K10KSE +/- 3.60, N = 3SE +/- 6.52, N = 3SE +/- 2.08, N = 3SE +/- 2.82, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 310382.226605.124239.523195.580.800.46-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge2K4K6K8K10KMin: 10375.13 / Avg: 10382.22 / Max: 10386.82Min: 6592.31 / Avg: 6605.12 / Max: 6613.67Min: 4237.32 / Avg: 4239.52 / Max: 4243.67Min: 3190.02 / Avg: 3195.58 / Max: 3199.13Min: 0.8 / Avg: 0.8 / Max: 0.8Min: 0.45 / Avg: 0.46 / Max: 0.471. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge1122334455SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 32.212.876.3011.6530.0848.08-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 3.57 / MAX: 21.5-pie - MIN: 3.76 / MAX: 29.1-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 29.37 / MAX: 32.17-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 47.55 / MAX: 50.491. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge1020304050Min: 2.2 / Avg: 2.21 / Max: 2.21Min: 2.86 / Avg: 2.87 / Max: 2.88Min: 6.28 / Avg: 6.3 / Max: 6.31Min: 11.46 / Avg: 11.65 / Max: 11.93Min: 30.04 / Avg: 30.08 / Max: 30.12Min: 48.06 / Avg: 48.08 / Max: 48.131. (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: 1000 - Mode: Read Only - Average Latencym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge0.23090.46180.69270.92361.1545SE +/- 0.000, N = 3SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.013, N = 30.3470.4980.6690.7701.0261. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latencym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge246810Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.49 / Avg: 0.5 / Max: 0.51Min: 0.66 / Avg: 0.67 / Max: 0.68Min: 0.76 / Avg: 0.77 / Max: 0.78Min: 1 / Avg: 1.03 / Max: 1.051. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge600K1200K1800K2400K3000KSE +/- 2874.04, N = 3SE +/- 22497.42, N = 3SE +/- 9220.12, N = 3SE +/- 11830.85, N = 3SE +/- 12606.16, N = 328809402008186149444512985279750311. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge500K1000K1500K2000K2500KMin: 2875496.58 / Avg: 2880939.91 / Max: 2885260.95Min: 1965900.78 / Avg: 2008186.14 / Max: 2042646.57Min: 1477738.01 / Avg: 1494444.82 / Max: 1509557.93Min: 1275126.07 / Avg: 1298527.14 / Max: 1313260.78Min: 955053.13 / Avg: 975030.88 / Max: 998339.411. (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 Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge600K1200K1800K2400K3000KSE +/- 13309.30, N = 3SE +/- 20558.90, N = 3SE +/- 20718.28, N = 3SE +/- 14241.12, N = 3SE +/- 12058.27, N = 3292300920037841509987131431710432671. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge500K1000K1500K2000K2500KMin: 2896398.33 / Avg: 2923009.14 / Max: 2936871.72Min: 1982417.57 / Avg: 2003783.9 / Max: 2044890.99Min: 1469043.56 / Avg: 1509987.12 / Max: 1535977.98Min: 1288748.26 / Avg: 1314316.95 / Max: 1337969.14Min: 1019179.32 / Avg: 1043267.49 / Max: 1056324.431. (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.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latencym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge0.17260.34520.51780.69040.863SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.007, N = 3SE +/- 0.009, N = 30.2740.3990.5300.6090.7671. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latencym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge246810Min: 0.27 / Avg: 0.27 / Max: 0.28Min: 0.39 / Avg: 0.4 / Max: 0.4Min: 0.52 / Avg: 0.53 / Max: 0.55Min: 0.6 / Avg: 0.61 / Max: 0.62Min: 0.76 / Avg: 0.77 / Max: 0.791. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

GROMACS

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

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_barem7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac7g.16xlargec2d-standard-56c6g.16xlarge246810SE +/- 0.035, N = 3SE +/- 0.005, N = 3SE +/- 0.011, N = 3SE +/- 0.003, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 37.6555.2894.3914.1943.9512.7661. (CXX) g++ options: -O3
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_barem7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac7g.16xlargec2d-standard-56c6g.16xlarge3691215Min: 7.59 / Avg: 7.65 / Max: 7.71Min: 5.28 / Avg: 5.29 / Max: 5.3Min: 4.37 / Avg: 4.39 / Max: 4.41Min: 4.19 / Avg: 4.19 / Max: 4.2Min: 3.95 / Avg: 3.95 / Max: 3.96Min: 2.76 / Avg: 2.77 / Max: 2.771. (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: 32m7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa140280420560700SE +/- 0.40, N = 3SE +/- 0.07, N = 3SE +/- 0.47, N = 3SE +/- 0.38, N = 3SE +/- 3.60, N = 4SE +/- 0.19, N = 3643.4494.2312.7306.3289.2255.4-lquadmath -msse4.2-march=armv8.1-a-march=armv8.1-a-lquadmath -msse4.2-lquadmath -msse4.2-lquadmath -msse4.21. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden
OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 32m7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa110220330440550Min: 642.7 / Avg: 643.4 / Max: 644.1Min: 494.1 / Avg: 494.17 / Max: 494.3Min: 311.8 / Avg: 312.67 / Max: 313.4Min: 305.6 / Avg: 306.33 / Max: 306.9Min: 278.4 / Avg: 289.18 / Max: 293.4Min: 255.2 / Avg: 255.43 / Max: 255.81. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64m7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa30060090012001500SE +/- 0.52, N = 3SE +/- 0.03, N = 3SE +/- 0.96, N = 3SE +/- 1.99, N = 3SE +/- 0.25, N = 3SE +/- 0.12, N = 31201.8785.0589.5581.1554.2489.7-lquadmath -msse4.2-march=armv8.1-a-march=armv8.1-a-lquadmath -msse4.2-lquadmath -msse4.2-lquadmath -msse4.21. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden
OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64m7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa2004006008001000Min: 1200.8 / Avg: 1201.83 / Max: 1202.4Min: 784.9 / Avg: 784.97 / Max: 785Min: 587.9 / Avg: 589.47 / Max: 591.2Min: 577.4 / Avg: 581.1 / Max: 584.2Min: 553.7 / Avg: 554.2 / Max: 554.5Min: 489.5 / Avg: 489.73 / Max: 489.91. (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

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: SHA512c7g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlargec2d-standard-567000M14000M21000M28000M35000MSE +/- 9797429.91, N = 3SE +/- 29763937.73, N = 3SE +/- 108274834.92, N = 3SE +/- 4399663.13, N = 3SE +/- 6214593.12, N = 3SE +/- 631939.37, N = 3320456168202648150682022244804183147022705731438491786313104599007-lssl -lcrypto-m64 -lssl -lcrypto-m64 -lssl -lcrypto-m64 -lssl -lcrypto-lssl -lcrypto-m641. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512c7g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlargec2d-standard-566000M12000M18000M24000M30000MMin: 32035588400 / Avg: 32045616820 / Max: 32065209850Min: 26425668680 / Avg: 26481506820 / Max: 26527293530Min: 22028477780 / Avg: 22244804183.33 / Max: 22361481200Min: 14693471250 / Avg: 14702270573.33 / Max: 14706676460Min: 14372505410 / Avg: 14384917863.33 / Max: 14391682440Min: 13103761300 / Avg: 13104599006.67 / Max: 131058374501. (CC) gcc options: -pthread -O3 -ldl

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: TurboPipe Periodicc2d-standard-56m7a.16xlargec3d-standard-60 AMD Genoac7g.16xlarget2d-standard-60 AMD Milanc6g.16xlarge1200M2400M3600M4800M6000MSE +/- 4494968.79, N = 3SE +/- 6657808.28, N = 3SE +/- 201939132.13, N = 12SE +/- 1792766.33, N = 3SE +/- 481352.26, N = 3SE +/- 1790009.31, N = 35431083333477479666747239400003991736667273062000022217100001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: TurboPipe Periodicc2d-standard-56m7a.16xlargec3d-standard-60 AMD Genoac7g.16xlarget2d-standard-60 AMD Milanc6g.16xlarge900M1800M2700M3600M4500MMin: 5424820000 / Avg: 5431083333.33 / Max: 5439800000Min: 4763910000 / Avg: 4774796666.67 / Max: 4786880000Min: 3886310000 / Avg: 4723940000 / Max: 5317680000Min: 3988740000 / Avg: 3991736666.67 / Max: 3994940000Min: 2729670000 / Avg: 2730620000 / Max: 2731230000Min: 2218390000 / Avg: 2221710000 / Max: 22245300001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

Xcompact3d Incompact3d

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

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Directionm7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc2d-standard-56c6g.16xlargec3d-standard-60 AMD Genoa714212835SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.31, N = 12SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.25, N = 311.5913.7924.5725.4225.8728.021. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Directionm7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc2d-standard-56c6g.16xlargec3d-standard-60 AMD Genoa612182430Min: 11.55 / Avg: 11.59 / Max: 11.67Min: 13.74 / Avg: 13.79 / Max: 13.85Min: 23.06 / Avg: 24.57 / Max: 26.45Min: 25.39 / Avg: 25.42 / Max: 25.43Min: 25.85 / Avg: 25.87 / Max: 25.9Min: 27.53 / Avg: 28.02 / Max: 28.31. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Remhos

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRemhos 1.0Test: Sample Remap Examplem7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc6g.16xlargec2d-standard-56c3d-standard-60 AMD Genoa816243240SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 313.8714.2616.3320.8224.6433.361. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterRemhos 1.0Test: Sample Remap Examplem7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc6g.16xlargec2d-standard-56c3d-standard-60 AMD Genoa714212835Min: 13.83 / Avg: 13.87 / Max: 13.89Min: 14.25 / Avg: 14.26 / Max: 14.27Min: 16.24 / Avg: 16.33 / Max: 16.41Min: 20.76 / Avg: 20.82 / Max: 20.9Min: 24.59 / Avg: 24.64 / Max: 24.72Min: 33.17 / Avg: 33.36 / Max: 33.691. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

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 Streamclusterm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c7g.16xlargec6g.16xlarge48121620SE +/- 0.049, N = 3SE +/- 0.009, N = 3SE +/- 0.104, N = 15SE +/- 0.009, N = 3SE +/- 0.124, N = 3SE +/- 0.017, N = 35.9306.4236.4486.65811.45714.2121. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamclusterm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c7g.16xlargec6g.16xlarge48121620Min: 5.86 / Avg: 5.93 / Max: 6.02Min: 6.41 / Avg: 6.42 / Max: 6.44Min: 6.09 / Avg: 6.45 / Max: 6.98Min: 6.65 / Avg: 6.66 / Max: 6.68Min: 11.25 / Avg: 11.46 / Max: 11.68Min: 14.19 / Avg: 14.21 / Max: 14.251. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solverc7g.16xlargec6g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoa3691215SE +/- 0.011, N = 3SE +/- 0.001, N = 3SE +/- 0.007, N = 3SE +/- 0.034, N = 3SE +/- 0.013, N = 3SE +/- 0.013, N = 34.3535.9836.4807.3689.34310.0251. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solverc7g.16xlargec6g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoa3691215Min: 4.34 / Avg: 4.35 / Max: 4.37Min: 5.98 / Avg: 5.98 / Max: 5.99Min: 6.47 / Avg: 6.48 / Max: 6.49Min: 7.3 / Avg: 7.37 / Max: 7.4Min: 9.32 / Avg: 9.34 / Max: 9.36Min: 10 / Avg: 10.03 / Max: 10.051. (CXX) g++ options: -O2 -lOpenCL

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: double - X Y Z: 128m7a.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac7g.16xlargec6g.16xlarge1632486480SE +/- 0.63, N = 15SE +/- 0.78, N = 15SE +/- 0.66, N = 3SE +/- 1.29, N = 15SE +/- 0.00, N = 3SE +/- 0.10, N = 371.1161.1860.0357.3152.4832.361. (CXX) g++ options: -O3
OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128m7a.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac7g.16xlargec6g.16xlarge1428425670Min: 66.16 / Avg: 71.11 / Max: 73.8Min: 56.28 / Avg: 61.18 / Max: 65.48Min: 58.73 / Avg: 60.03 / Max: 60.86Min: 46.05 / Avg: 57.31 / Max: 63.04Min: 52.47 / Avg: 52.48 / Max: 52.48Min: 32.22 / Avg: 32.36 / Max: 32.561. (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: Rhodopsin Proteinc7g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc6g.16xlargec2d-standard-56c3d-standard-60 AMD Genoa918273645SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.54, N = 1237.4632.7927.8326.0418.0317.42-lm-lm-lm-lm1. (CXX) g++ options: -O3 -ldl
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin Proteinc7g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc6g.16xlargec2d-standard-56c3d-standard-60 AMD Genoa816243240Min: 37.42 / Avg: 37.46 / Max: 37.52Min: 32.64 / Avg: 32.79 / Max: 32.98Min: 27.49 / Avg: 27.83 / Max: 28.03Min: 25.96 / Avg: 26.04 / Max: 26.11Min: 17.78 / Avg: 18.03 / Max: 18.17Min: 15.14 / Avg: 17.42 / Max: 19.611. (CXX) g++ options: -O3 -ldl

Xcompact3d Incompact3d

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

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Directionm7a.16xlargec7g.16xlargec6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56246810SE +/- 0.03993251, N = 3SE +/- 0.01236463, N = 3SE +/- 0.01888616, N = 3SE +/- 0.02210564, N = 3SE +/- 0.04970425, N = 3SE +/- 0.02575719, N = 32.896026613.158788375.618116865.630573275.871578856.144091921. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Directionm7a.16xlargec7g.16xlargec6g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56246810Min: 2.84 / Avg: 2.9 / Max: 2.97Min: 3.14 / Avg: 3.16 / Max: 3.18Min: 5.58 / Avg: 5.62 / Max: 5.64Min: 5.6 / Avg: 5.63 / Max: 5.67Min: 5.81 / Avg: 5.87 / Max: 5.97Min: 6.1 / Avg: 6.14 / Max: 6.191. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Algebraic Multi-Grid Benchmark

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

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2m7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-56c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan400M800M1200M1600M2000MSE +/- 1428129.35, N = 3SE +/- 536620.29, N = 3SE +/- 176147.98, N = 3SE +/- 999273.29, N = 3SE +/- 2060519.90, N = 3SE +/- 1088162.98, N = 31843444333176734900010328936679818772679628898339204277671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2m7a.16xlargec7g.16xlargec6g.16xlargec2d-standard-56c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan300M600M900M1200M1500MMin: 1840680000 / Avg: 1843444333.33 / Max: 1845449000Min: 1766297000 / Avg: 1767349000 / Max: 1768059000Min: 1032642000 / Avg: 1032893666.67 / Max: 1033233000Min: 980716600 / Avg: 981877266.67 / Max: 983866600Min: 958790700 / Avg: 962889833.33 / Max: 965306900Min: 919131100 / Avg: 920427766.67 / Max: 9225898001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge2K4K6K8K10KSE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 1.32, N = 3SE +/- 3.85, N = 3SE +/- 1.45, N = 3SE +/- 1.02, N = 3503.38648.811393.561914.275639.789996.56-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 1788.62 / MAX: 2033.22-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 5635.22 / MAX: 5646.39-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 9993.58 / MAX: 10001.761. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge2K4K6K8K10KMin: 503.24 / Avg: 503.38 / Max: 503.62Min: 648.53 / Avg: 648.81 / Max: 649.12Min: 1390.92 / Avg: 1393.56 / Max: 1395.09Min: 1906.77 / Avg: 1914.27 / Max: 1919.54Min: 5637.98 / Avg: 5639.78 / Max: 5642.64Min: 9994.54 / Avg: 9996.56 / Max: 9997.761. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c6g.16xlargec7g.16xlarge90180270360450SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.21, N = 3SE +/- 0.13, N = 3SE +/- 2.18, N = 3SE +/- 1.65, N = 322.5331.0881.0099.81394.94395.91-pie - MIN: 64.65 / MAX: 134.64-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 55.12 / MAX: 150.04-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 380.82 / MAX: 408.15-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 380.35 / MAX: 415.381. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c6g.16xlargec7g.16xlarge70140210280350Min: 22.51 / Avg: 22.53 / Max: 22.54Min: 31.04 / Avg: 31.08 / Max: 31.11Min: 80.78 / Avg: 81 / Max: 81.42Min: 99.56 / Avg: 99.81 / Max: 99.99Min: 392.48 / Avg: 394.94 / Max: 399.29Min: 392.69 / Avg: 395.91 / Max: 398.121. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge15003000450060007500SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 1.04, N = 3SE +/- 27.09, N = 154.355.869.9012.833957.746990.10-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 3952.99 / MAX: 3967.18-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6842.82 / MAX: 7088.531. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge12002400360048006000Min: 4.35 / Avg: 4.35 / Max: 4.36Min: 5.84 / Avg: 5.86 / Max: 5.87Min: 9.89 / Avg: 9.9 / Max: 9.91Min: 12.8 / Avg: 12.83 / Max: 12.85Min: 3956.44 / Avg: 3957.74 / Max: 3959.8Min: 6845.86 / Avg: 6990.1 / Max: 7087.181. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge2004006008001000SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.29, N = 3SE +/- 9.17, N = 15SE +/- 0.71, N = 3SE +/- 0.37, N = 356.2183.99169.57208.47554.28947.59-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 94.4 / MAX: 218.7-pie - MIN: 119.65 / MAX: 316.01-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 550.22 / MAX: 563.55-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 943.57 / MAX: 951.681. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge170340510680850Min: 56.01 / Avg: 56.21 / Max: 56.34Min: 83.77 / Avg: 83.99 / Max: 84.23Min: 169.05 / Avg: 169.57 / Max: 170.05Min: 169.06 / Avg: 208.47 / Max: 262.99Min: 553.24 / Avg: 554.28 / Max: 555.63Min: 947.11 / Avg: 947.59 / Max: 948.311. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge2004006008001000SE +/- 0.06, N = 3SE +/- 0.29, N = 3SE +/- 0.29, N = 3SE +/- 7.79, N = 15SE +/- 0.11, N = 3SE +/- 0.55, N = 356.4183.91169.62193.45553.52947.86-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 104.86 / MAX: 209.35-pie - MIN: 113.44 / MAX: 315.54-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 549.89 / MAX: 562.06-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 944.57 / MAX: 958.261. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge170340510680850Min: 56.34 / Avg: 56.41 / Max: 56.52Min: 83.42 / Avg: 83.91 / Max: 84.42Min: 169.13 / Avg: 169.62 / Max: 170.15Min: 171 / Avg: 193.45 / Max: 262.74Min: 553.31 / Avg: 553.52 / Max: 553.7Min: 947.13 / Avg: 947.86 / Max: 948.941. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge1428425670SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 361.1935.1926.2816.030.080.04-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge1224364860Min: 61.18 / Avg: 61.19 / Max: 61.19Min: 35.17 / Avg: 35.19 / Max: 35.22Min: 26.25 / Avg: 26.28 / Max: 26.31Min: 15.96 / Avg: 16.03 / Max: 16.09Min: 0.08 / Avg: 0.08 / Max: 0.08Min: 0.04 / Avg: 0.04 / Max: 0.041. (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-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge90180270360450SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.27, N = 3SE +/- 0.65, N = 3SE +/- 3.34, N = 3SE +/- 0.26, N = 327.6039.3876.7292.77410.00423.95-pie - MIN: 58.8 / MAX: 121.69-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 51.49 / MAX: 118.72-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 391.1 / MAX: 424.93-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 411.17 / MAX: 440.571. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge80160240320400Min: 27.59 / Avg: 27.6 / Max: 27.61Min: 39.2 / Avg: 39.38 / Max: 39.5Min: 76.39 / Avg: 76.72 / Max: 77.26Min: 91.48 / Avg: 92.77 / Max: 93.58Min: 403.68 / Avg: 410 / Max: 415.06Min: 423.43 / Avg: 423.95 / Max: 424.271. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge1.25552.5113.76655.0226.2775SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 30.380.520.991.253.865.58-pie - MIN: 0.8 / MAX: 13.76-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 0.71 / MAX: 15.89-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 3.63 / MAX: 5.36-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 5.45 / MAX: 6.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge246810Min: 0.38 / Avg: 0.38 / Max: 0.38Min: 0.52 / Avg: 0.52 / Max: 0.52Min: 0.99 / Avg: 0.99 / Max: 0.99Min: 1.25 / Avg: 1.25 / Max: 1.25Min: 3.84 / Avg: 3.86 / Max: 3.89Min: 5.57 / Avg: 5.58 / Max: 5.611. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge160320480640800SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.58, N = 3SE +/- 0.24, N = 3SE +/- 0.26, N = 350.7264.70149.97155.14431.90735.58-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 81.05 / MAX: 193.4-pie - MIN: 114.75 / MAX: 224.64-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 430.12 / MAX: 435.25-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 734.34 / MAX: 738.231. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milanc7g.16xlargec6g.16xlarge130260390520650Min: 50.7 / Avg: 50.72 / Max: 50.75Min: 64.54 / Avg: 64.7 / Max: 64.84Min: 149.9 / Avg: 149.97 / Max: 150.04Min: 154.15 / Avg: 155.14 / Max: 156.17Min: 431.49 / Avg: 431.9 / Max: 432.32Min: 735.09 / Avg: 735.58 / Max: 735.981. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge13002600390052006500SE +/- 4.43, N = 3SE +/- 3.28, N = 3SE +/- 3.26, N = 3SE +/- 0.68, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 36177.943650.572646.581581.239.095.50-pie-pie-pie-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUm7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c7g.16xlargec6g.16xlarge11002200330044005500Min: 6169.58 / Avg: 6177.94 / Max: 6184.68Min: 3644.95 / Avg: 3650.57 / Max: 3656.3Min: 2640.38 / Avg: 2646.58 / Max: 2651.41Min: 1580.49 / Avg: 1581.23 / Max: 1582.58Min: 9.09 / Avg: 9.09 / Max: 9.09Min: 5.49 / Avg: 5.5 / Max: 5.511. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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: RSA4096m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc7g.16xlargec2d-standard-56c6g.16xlarge7K14K21K28K35KSE +/- 24.57, N = 3SE +/- 14.62, N = 3SE +/- 11.58, N = 3SE +/- 1.56, N = 3SE +/- 0.44, N = 3SE +/- 0.09, N = 331583.820079.512973.010181.17181.42640.0-m64 -lssl -lcrypto-m64 -lssl -lcrypto-m64 -lssl -lcrypto-lssl -lcrypto-m641. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096m7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc7g.16xlargec2d-standard-56c6g.16xlarge5K10K15K20K25KMin: 31538.6 / Avg: 31583.8 / Max: 31623.1Min: 20051.8 / Avg: 20079.53 / Max: 20101.4Min: 12954.2 / Avg: 12972.97 / Max: 12994.1Min: 10178.9 / Avg: 10181.07 / Max: 10184.1Min: 7180.7 / Avg: 7181.4 / Max: 7182.2Min: 2639.8 / Avg: 2639.97 / Max: 2640.11. (CC) gcc options: -pthread -O3 -ldl

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c7g.16xlargec6g.16xlarge306090120150SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 310.1914.7615.9820.2869.89119.17-fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 14.46 / MAX: 30.6-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 69.44 / MAX: 71.41-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 118.73 / MAX: 120.211. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c7g.16xlargec6g.16xlarge20406080100Min: 10.19 / Avg: 10.19 / Max: 10.19Min: 14.74 / Avg: 14.76 / Max: 14.77Min: 15.97 / Avg: 15.98 / Max: 15.98Min: 20.24 / Avg: 20.28 / Max: 20.31Min: 69.88 / Avg: 69.89 / Max: 69.89Min: 119.04 / Avg: 119.17 / Max: 119.251. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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: LU.Cm7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoac7g.16xlargec6g.16xlarge50K100K150K200K250KSE +/- 661.61, N = 3SE +/- 1463.52, N = 15SE +/- 22.13, N = 3SE +/- 293.57, N = 3SE +/- 30.15, N = 3SE +/- 7.52, N = 3210544.8794247.7778848.0873563.1328356.7018807.751. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.Cm7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoac7g.16xlargec6g.16xlarge40K80K120K160K200KMin: 209647.47 / Avg: 210544.87 / Max: 211835.7Min: 74972.59 / Avg: 94247.77 / Max: 96941.08Min: 78814.85 / Avg: 78848.08 / Max: 78890.01Min: 72978.56 / Avg: 73563.13 / Max: 73902.98Min: 28296.49 / Avg: 28356.7 / Max: 28389.61Min: 18795.75 / Avg: 18807.75 / Max: 18821.591. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.Cm7a.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac7g.16xlargec6g.16xlarge20K40K60K80K100KSE +/- 91.17, N = 3SE +/- 113.84, N = 3SE +/- 555.92, N = 3SE +/- 45.01, N = 3SE +/- 40.05, N = 3SE +/- 0.76, N = 3102392.4048423.5243228.1139919.7117223.959716.991. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.Cm7a.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac7g.16xlargec6g.16xlarge20K40K60K80K100KMin: 102218.96 / Avg: 102392.4 / Max: 102527.85Min: 48203.22 / Avg: 48423.52 / Max: 48583.44Min: 42116.86 / Avg: 43228.11 / Max: 43815.03Min: 39831.19 / Avg: 39919.71 / Max: 39978.2Min: 17143.85 / Avg: 17223.95 / Max: 17264.95Min: 9715.57 / Avg: 9716.99 / Max: 9718.181. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

LAMMPS Molecular Dynamics Simulator

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

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k Atomsc7g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56816243240SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 336.7331.4726.7325.0619.7818.37-lm-lm-lm-lm1. (CXX) g++ options: -O3 -ldl
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k Atomsc7g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoac2d-standard-56816243240Min: 36.51 / Avg: 36.73 / Max: 36.87Min: 31.42 / Avg: 31.47 / Max: 31.52Min: 26.68 / Avg: 26.73 / Max: 26.83Min: 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

HeFFTe - Highly Efficient FFT for Exascale

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

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128c7g.16xlargec6g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoa4080120160200SE +/- 0.44, N = 3SE +/- 0.11, N = 3SE +/- 1.44, N = 15SE +/- 0.78, N = 3SE +/- 1.06, N = 3SE +/- 0.52, N = 3175.73129.17121.51109.68104.5388.631. (CXX) g++ options: -O3
OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128c7g.16xlargec6g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoa306090120150Min: 174.86 / Avg: 175.73 / Max: 176.28Min: 128.99 / Avg: 129.17 / Max: 129.37Min: 110.47 / Avg: 121.51 / Max: 128.23Min: 108.11 / Avg: 109.68 / Max: 110.47Min: 102.55 / Avg: 104.53 / Max: 106.15Min: 87.59 / Avg: 88.63 / Max: 89.181. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128c7g.16xlargec6g.16xlarget2d-standard-60 AMD Milanm7a.16xlargec2d-standard-56c3d-standard-60 AMD Genoa60120180240300SE +/- 0.59, N = 3SE +/- 0.57, N = 3SE +/- 0.82, N = 3SE +/- 2.16, N = 15SE +/- 1.51, N = 6SE +/- 2.19, N = 12291.97202.45196.95190.60164.72148.581. (CXX) g++ options: -O3
OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128c7g.16xlargec6g.16xlarget2d-standard-60 AMD Milanm7a.16xlargec2d-standard-56c3d-standard-60 AMD Genoa50100150200250Min: 291.3 / Avg: 291.97 / Max: 293.14Min: 201.49 / Avg: 202.44 / Max: 203.47Min: 195.47 / Avg: 196.95 / Max: 198.31Min: 182.77 / Avg: 190.6 / Max: 214.05Min: 160.21 / Avg: 164.72 / Max: 169.93Min: 138.04 / Avg: 148.58 / Max: 161.921. (CXX) g++ options: -O3

BRL-CAD

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

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

VGR Performance Metric

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

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

OpenRadioss

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1Mm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-5680160240320400SE +/- 0.61, N = 3SE +/- 1.48, N = 3SE +/- 2.03, N = 3SE +/- 0.14, N = 3190.79327.88337.70363.60
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1Mm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-5660120180240300Min: 189.84 / Avg: 190.79 / Max: 191.92Min: 324.94 / Avg: 327.88 / Max: 329.69Min: 335.43 / Avg: 337.7 / Max: 341.75Min: 363.38 / Avg: 363.6 / Max: 363.87

Timed Node.js Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To Compilem7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c7g.16xlargec6g.16xlarge60120180240300SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.29, N = 3SE +/- 0.26, N = 3SE +/- 0.31, N = 3SE +/- 0.11, N = 3154.44191.71198.39231.38236.48286.20
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To Compilem7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c7g.16xlargec6g.16xlarge50100150200250Min: 154.26 / Avg: 154.44 / Max: 154.63Min: 191.61 / Avg: 191.71 / Max: 191.79Min: 198.04 / Avg: 198.39 / Max: 198.96Min: 231.11 / Avg: 231.38 / Max: 231.91Min: 236.11 / Avg: 236.48 / Max: 237.11Min: 285.99 / Avg: 286.2 / Max: 286.36

Coremark

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

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Secondm7a.16xlarget2d-standard-60 AMD Milanc7g.16xlargec3d-standard-60 AMD Genoac6g.16xlargec2d-standard-56500K1000K1500K2000K2500KSE +/- 1437.63, N = 3SE +/- 9191.61, N = 3SE +/- 11587.63, N = 15SE +/- 1295.68, N = 3SE +/- 635.29, N = 3SE +/- 833.48, N = 32158639.271730658.451608877.081445843.521259870.721212209.821. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Secondm7a.16xlarget2d-standard-60 AMD Milanc7g.16xlargec3d-standard-60 AMD Genoac6g.16xlargec2d-standard-56400K800K1200K1600K2000KMin: 2156213.15 / Avg: 2158639.27 / Max: 2161188.65Min: 1718336.08 / Avg: 1730658.45 / Max: 1748633.88Min: 1503406.15 / Avg: 1608877.08 / Max: 1636933.31Min: 1443435.38 / Avg: 1445843.52 / Max: 1447876.45Min: 1258603.74 / Avg: 1259870.72 / Max: 1260586.96Min: 1210745.37 / Avg: 1212209.82 / Max: 1213631.681. (CC) gcc options: -O2 -lrt" -lrt

Apache Cassandra

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

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: Writesc7g.16xlargem7a.16xlargec3d-standard-60 AMD Genoac6g.16xlarget2d-standard-60 AMD Milanc2d-standard-5670K140K210K280K350KSE +/- 2261.70, N = 3SE +/- 352.65, N = 3SE +/- 1129.40, N = 3SE +/- 3249.94, N = 12SE +/- 681.76, N = 3SE +/- 1718.54, N = 3316573278585228640217355187169178227
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: Writesc7g.16xlargem7a.16xlargec3d-standard-60 AMD Genoac6g.16xlarget2d-standard-60 AMD Milanc2d-standard-5650K100K150K200K250KMin: 312986 / Avg: 316572.67 / Max: 320753Min: 278128 / Avg: 278585.33 / Max: 279279Min: 227154 / Avg: 228639.67 / Max: 230856Min: 189461 / Avg: 217355 / Max: 230058Min: 185952 / Avg: 187169 / Max: 188310Min: 175062 / Avg: 178227.33 / Max: 180970

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: BMW27 - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-561122334455SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 327.7434.2749.01
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: BMW27 - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-561020304050Min: 27.69 / Avg: 27.74 / Max: 27.82Min: 34.19 / Avg: 34.27 / Max: 34.38Min: 48.98 / Avg: 49.01 / Max: 49.03

Blend File: BMW27 - Compute: CPU-Only

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Classroom - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56306090120150SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 371.5189.35125.73
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Classroom - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-5620406080100Min: 71.49 / Avg: 71.51 / Max: 71.54Min: 89.28 / Avg: 89.35 / Max: 89.49Min: 125.6 / Avg: 125.73 / Max: 125.86

Blend File: Classroom - Compute: CPU-Only

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

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: Sedov Blast Wave, ube_922_hex.meshm7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5690180270360450SE +/- 1.29, N = 3SE +/- 0.57, N = 3SE +/- 0.62, N = 3SE +/- 0.79, N = 3SE +/- 0.31, N = 3SE +/- 0.02, N = 3409.73409.66364.64321.29259.55239.481. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Sedov Blast Wave, ube_922_hex.meshm7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5670140210280350Min: 407.42 / Avg: 409.73 / Max: 411.89Min: 408.55 / Avg: 409.66 / Max: 410.44Min: 363.48 / Avg: 364.64 / Max: 365.6Min: 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

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Barbershop - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56100200300400500SE +/- 0.49, N = 3SE +/- 0.60, N = 3SE +/- 0.71, N = 3276.23351.58468.20
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Barbershop - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-5680160240320400Min: 275.5 / Avg: 276.23 / Max: 277.16Min: 350.6 / Avg: 351.58 / Max: 352.68Min: 466.88 / Avg: 468.2 / Max: 469.33

Blend File: Barbershop - Compute: CPU-Only

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

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigm7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc6g.16xlargec2d-standard-56100200300400500SE +/- 0.37, N = 3SE +/- 0.81, N = 3SE +/- 1.20, N = 3SE +/- 2.41, N = 3SE +/- 1.50, N = 3267.97316.01333.35409.10452.75
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigm7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc6g.16xlargec2d-standard-5680160240320400Min: 267.39 / Avg: 267.97 / Max: 268.66Min: 315.14 / Avg: 316.01 / Max: 317.62Min: 332.12 / Avg: 333.35 / Max: 335.76Min: 406.26 / Avg: 409.1 / Max: 413.89Min: 451.25 / Avg: 452.75 / Max: 455.74

Build: allmodconfig

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

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6m7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c6g.16xlarge1.00512.01023.01534.02045.0255SE +/- 0.015, N = 3SE +/- 0.004, N = 3SE +/- 0.013, N = 3SE +/- 0.007, N = 3SE +/- 0.010, N = 3SE +/- 0.014, N = 32.6493.1783.2053.2503.8024.4671. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6m7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c6g.16xlarge246810Min: 2.63 / Avg: 2.65 / Max: 2.68Min: 3.17 / Avg: 3.18 / Max: 3.19Min: 3.19 / Avg: 3.21 / Max: 3.23Min: 3.24 / Avg: 3.25 / Max: 3.26Min: 3.78 / Avg: 3.8 / Max: 3.82Min: 4.45 / Avg: 4.47 / Max: 4.51. (CXX) g++ options: -O3 -fPIC -lm

Stockfish

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

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total Timem7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c6g.16xlarge30M60M90M120M150MSE +/- 1001447.21, N = 3SE +/- 1921303.63, N = 15SE +/- 1618403.29, N = 14SE +/- 1450871.09, N = 3SE +/- 705199.36, N = 15SE +/- 1645401.81, N = 151354191691195024731129587881058944578401701981807706-m64 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2-m64 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2-m64 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2-m64 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi21. (CXX) g++ options: -lgcov -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total Timem7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-56c6g.16xlarge20M40M60M80M100MMin: 133983539 / Avg: 135419169 / Max: 137346494Min: 105295816 / Avg: 119502472.93 / Max: 129943001Min: 104054980 / Avg: 112958788.21 / Max: 124362514Min: 103063203 / Avg: 105894456.67 / Max: 107860613Min: 78621063 / Avg: 84017019.2 / Max: 88485401Min: 72392522 / Avg: 81807705.73 / Max: 931098161. (CXX) g++ options: -lgcov -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -flto -flto=jobserver

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: 1000c7g.16xlargem7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56c6g.16xlarget2d-standard-60 AMD Milan50K100K150K200K250KSE +/- 141.46, N = 3SE +/- 260.28, N = 3SE +/- 688.79, N = 3SE +/- 157.70, N = 3SE +/- 132.24, N = 3SE +/- 156.32, N = 3255540.03224859.09180537.84161127.09158700.36155609.041. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000c7g.16xlargem7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56c6g.16xlarget2d-standard-60 AMD Milan40K80K120K160K200KMin: 255383.58 / Avg: 255540.03 / Max: 255822.39Min: 224448.59 / Avg: 224859.09 / Max: 225341.56Min: 179226.04 / Avg: 180537.84 / Max: 181558Min: 160956.82 / Avg: 161127.09 / Max: 161442.15Min: 158461.36 / Avg: 158700.36 / Max: 158917.94Min: 155316.39 / Avg: 155609.04 / Max: 155850.641. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Pabellon Barcelona - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56306090120150SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 391.88112.64150.06
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Pabellon Barcelona - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56306090120150Min: 91.73 / Avg: 91.88 / Max: 91.99Min: 112.61 / Avg: 112.64 / Max: 112.69Min: 149.81 / Avg: 150.06 / Max: 150.24

Blend File: Pabellon Barcelona - Compute: CPU-Only

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

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDm7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoac2d-standard-561632486480SE +/- 0.24, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 0.13, N = 343.2943.9150.9762.3064.8670.161. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDm7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoac2d-standard-561428425670Min: 42.96 / Avg: 43.29 / Max: 43.75Min: 43.62 / Avg: 43.91 / Max: 44.06Min: 50.72 / Avg: 50.97 / Max: 51.12Min: 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

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: r2c - Backend: FFTW - Precision: double - X Y Z: 128c7g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoac6g.16xlarge306090120150SE +/- 0.10, N = 3SE +/- 1.18, N = 15SE +/- 0.91, N = 3SE +/- 1.39, N = 3SE +/- 1.78, N = 12SE +/- 0.71, N = 3127.99124.36106.0399.6593.6079.021. (CXX) g++ options: -O3
OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128c7g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoac6g.16xlarge20406080100Min: 127.8 / Avg: 127.99 / Max: 128.13Min: 115.03 / Avg: 124.36 / Max: 129.61Min: 104.39 / Avg: 106.03 / Max: 107.51Min: 97.19 / Avg: 99.65 / Max: 102Min: 83.8 / Avg: 93.6 / Max: 107.97Min: 77.62 / Avg: 79.02 / Max: 79.921. (CXX) g++ options: -O3

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Fishy Cat - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-561326395265SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 337.1245.2259.22
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Fishy Cat - Compute: CPU-Onlym7a.16xlarget2d-standard-60 AMD Milanc2d-standard-561224364860Min: 36.99 / Avg: 37.12 / Max: 37.31Min: 45.03 / Avg: 45.22 / Max: 45.46Min: 59.11 / Avg: 59.22 / Max: 59.41

Blend File: Fishy Cat - Compute: CPU-Only

c3d-standard-60 AMD Genoa: 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.