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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

Timed Code Compilation 3 Tests
C/C++ Compiler Tests 7 Tests
CPU Massive 12 Tests
Creator Workloads 4 Tests
Database Test Suite 3 Tests
Fortran Tests 4 Tests
HPC - High Performance Computing 10 Tests
Java Tests 2 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 2 Tests
Molecular Dynamics 3 Tests
MPI Benchmarks 4 Tests
Multi-Core 15 Tests
NVIDIA GPU Compute 3 Tests
OpenMPI Tests 11 Tests
Programmer / Developer System Benchmarks 4 Tests
Python Tests 4 Tests
Scientific Computing 4 Tests
Server 5 Tests
Server CPU Tests 7 Tests
Common Workstation Benchmarks 3 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs

Additional Graphs

Show Perf Per Core/Thread Calculation Graphs Where Applicable

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
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
Invert Hiding All Results Option
  10 Hours, 17 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


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-60compress-7zip: Compression Ratingcompress-7zip: Decompression Ratingamg: cassandra: Writesapache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 800 - 400apache-iotdb: 800 - 100 - 800 - 400blender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlybrl-cad: VGR Performance Metriccoremark: CoreMark Size 666 - Iterations Per Secondgromacs: MPI CPU - water_GMX50_bareheffte: c2c - FFTW - float - 128heffte: r2c - FFTW - float - 128heffte: c2c - FFTW - double - 128heffte: r2c - FFTW - double - 128laghos: Triple Point Problemlaghos: Sedov Blast Wave, ube_922_hex.meshlammps: 20k Atomslammps: Rhodopsin Proteinavifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslesslibxsmm: 32libxsmm: 64npb: BT.Cnpb: CG.Cnpb: EP.Dnpb: FT.Cnpb: IS.Dnpb: LU.Cnpb: MG.Cnpb: SP.Cnekrs: Kershawnekrs: TurboPipe Periodicnginx: 500nginx: 1000openradioss: Bumper Beamopenradioss: Chrysler Neon 1Mopenradioss: Cell Phone Drop Testopenradioss: Bird Strike on Windshieldopenradioss: Rubber O-Ring Seal Installationopenssl: SHA256openssl: SHA512openssl: RSA4096openssl: RSA4096openssl: ChaCha20openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20-Poly1305openvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUpgbench: 100 - 800 - Read Onlypgbench: 100 - 1000 - Read Onlypgbench: 100 - 800 - Read Writepgbench: 100 - 1000 - Read Writepgbench: 100 - 800 - Read Only - Average Latencypgbench: 100 - 1000 - Read Only - Average Latencypgbench: 100 - 800 - Read Write - Average Latencypgbench: 100 - 1000 - Read Write - Average Latencyremhos: Sample Remap Examplerodinia: OpenMP LavaMDrodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusterstockfish: Total Timetensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - ResNet-50build-gem5: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-nodejs: Time To Compileincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargem7a.16xlargec7g.16xlargec2d-standard-5627179522621196288983322864033268158418.5934762565623.8934332237447.6835359884682.125108191445843.5215524.39188.6301148.57557.311693.6005209.00259.5519.77617.42378.06841.5383.2506.889255.4489.796257.4819597.863783.6039647.472422.4073563.1342701.8339919.7142898583334723940000187350.44180537.8492.87337.7038.82147.3189.65462118213131470227057320079.5493077.617398094989334309528444029332804849712390930477318.39648.81142.7583.99142.9083.911389.698.6235.19340.294166.392.87576.9420.772043.055.861875.2815.986605.124.53645.7418.56185.2964.703650.578.201764.216.79964.4631.0843607.040.52761.1439.3854971.260.433.36264.86284.16645.49810.0256.44810589445750.9962.7469.68176.767198.3945.8715788528.019687727897324725592042776718716933466804415.0834925899633.5834123810433.9635068557709.4634.2789.3545.22351.58112.646293631730658.4494405.289109.676196.94860.0343106.029222.30364.6426.73427.82878.35041.9893.2057.639289.2554.2122720.6116649.374935.6854846.181752.6294247.7747291.9643228.1136819358332730620000162957.75155609.0475.68327.8830.12123.6172.06508849971032224480418312973.0860844.618024914577023460408261021602596764011964772033710.731393.5673.74208.4778.96193.45368.3940.6726.28568.771285.4711.65225.4866.461512.579.901014.7014.764239.523.52565.3426.5096.58155.142646.5811.32633.7623.64370.0381.0029668.120.99390.7276.7244049.150.6120037842008186568257930.3990.498140.916172.71716.32650.97488.53542.0107.3686.42311295878818.2920.3620.90170.93033.399333.351191.7065.6305732724.572118123973523404610328936672173551259870.7169022.766129.172202.44532.357579.0156179.52321.2925.05926.041270.068167.9464.4678.879312.7589.524229.1413343.352213.7621386.37915.8018807.7525661.049716.9917588600002221710000162553.85158700.3642288513973143849178632640.0215683.267324778360158788510970129198197600467151264870.19996.561.06947.591.06947.866.53153.120.0422391.8620.7948.082.61382.470.146990.108.39119.170.462186.810.156773.311.36735.585.50181.947.36135.872.53394.94178.825.582.36423.95136.167.331043267975031478447760.7671.026168.191210.60820.81662.3015.98314.21281807706224.414102.216409.097286.2015.6181168625.8748328330633282593184344433327858540899210340.1144502333521.9842643903355.1344699315598.4927.7471.5137.12276.2391.887887042158639.2748837.655121.505190.60271.1095124.363218.86409.7331.47132.78565.44735.8052.6495.678643.41201.8193219.1242007.577501.76103413.024085.20210544.87121293.80102392.4076678466674774796667233014.72224859.0966.27190.7926.14115.9659.18622538611972648150682031583.8996017.530830804508359254536274052211308052721677347553331.72503.38284.4256.21283.4056.412417.346.6061.19261.117222.102.211049.6615.223666.894.353132.4810.1910382.223.071222.9913.07315.1450.726177.945.163146.045.071419.1122.5381996.810.381158.4327.6092100.800.2729230092880940531253000.2740.347150.601188.67613.86743.28674.77834.6616.4805.93013541916969.5587.19100.15153.80027.709267.965154.4412.8960266111.591308631051728552317673490003165731608877.0786304.194175.729291.96652.4779127.985231.85409.6636.72537.462170.587102.0813.1785.914494.2785.038934.1522031.273648.4339830.181797.7628356.7049799.5717223.9532521666673991736667254864.93255540.03544385551703204561682010181.1713624.4103234608683332345111983283187826230743065157630.185639.781.81554.281.81553.5211.1989.360.0812852.0833.2330.084.51221.500.253957.7414.3169.890.81255.020.263871.332.32431.909.09109.9910.1598.572.53395.91258.593.862.44410.00180.795.5213143171298527534853420.6090.770149.597187.18814.25843.9054.35311.457119502473179.99980.347316.005236.4823.1587883713.791938823043020819298187726717822733395968408.1335460713629.0034625899414.4035377376679.8649.01125.7359.22468.20150.064107381212209.8192803.951104.534164.72061.184699.6480199.80239.4818.36918.02888.81046.5413.8028.080306.3581.194143.8523089.422579.9247216.052190.3978848.0854301.2548423.5281952933335431083333160196.24161127.0998.45363.6036.84146.5669.4339825794840131045990077181.4468650.6120825305953129548766687118402595740822212796437.251914.2782.47169.5782.47169.62701.0019.9416.03868.352215.746.30322.2743.391089.8312.83689.5620.283195.584.36466.4129.9993.23149.971581.2317.691022.8113.66280.2699.8121951.031.25301.6092.7735877.140.615099871494445570258200.5300.669140.410171.94724.64370.15790.73646.7419.3436.6588401701920.0021.4821.82192.60141.168452.748231.3846.1440919225.4153391OpenBenchmarking.org

7-Zip Compression

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

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Ratingm7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlargec2d-standard-5670K140K210K280K350KSE +/- 400.99, N = 3SE +/- 291.75, N = 3SE +/- 388.74, N = 3SE +/- 346.51, N = 3SE +/- 359.95, N = 3SE +/- 214.91, N = 33306333105172789732717952397352304301. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Ratingm7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlargec2d-standard-5660K120K180K240K300KMin: 329942 / Avg: 330633 / Max: 331331Min: 309934 / Avg: 310517.33 / Max: 310821Min: 278561 / Avg: 278973 / Max: 279750Min: 271103 / Avg: 271794.67 / Max: 272178Min: 239263 / Avg: 239735.33 / Max: 240442Min: 230116 / Avg: 230429.67 / Max: 2308411. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Ratingc7g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5660K120K180K240K300KSE +/- 141.62, N = 3SE +/- 342.37, N = 3SE +/- 347.74, N = 3SE +/- 57.33, N = 3SE +/- 519.21, N = 3SE +/- 140.45, N = 32855232825932472552340462262112081921. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Ratingc7g.16xlargem7a.16xlarget2d-standard-60 AMD Milanc6g.16xlargec3d-standard-60 AMD Genoac2d-standard-5650K100K150K200K250KMin: 285243 / Avg: 285523 / Max: 285700Min: 282213 / Avg: 282592.67 / Max: 283276Min: 246600 / Avg: 247255 / Max: 247785Min: 233936 / Avg: 234046 / Max: 234129Min: 225430 / Avg: 226210.67 / Max: 227194Min: 207911 / Avg: 208191.67 / Max: 2083421. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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

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

Apache IoTDB

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

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400m7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoa9M18M27M36M45MSE +/- 457186.43, N = 3SE +/- 303573.79, N = 3SE +/- 247504.71, N = 3SE +/- 154587.14, N = 340899210334668043339596833268158
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400m7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoa7M14M21M28M35MMin: 39998858.13 / Avg: 40899209.53 / Max: 41487529.37Min: 32860342.37 / Avg: 33466803.8 / Max: 33795025.28Min: 32916972.81 / Avg: 33395968.44 / Max: 33743624.15Min: 33054825.84 / Avg: 33268157.73 / Max: 33568624.3

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

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

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400m7a.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa90180270360450SE +/- 4.92, N = 3SE +/- 2.53, N = 3SE +/- 4.08, N = 3SE +/- 2.14, N = 3340.11408.13415.08418.59MAX: 37899.66MAX: 33039.23MAX: 28810.4MAX: 31920.67
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400m7a.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa70140210280350Min: 331.69 / Avg: 340.11 / Max: 348.72Min: 403.15 / Avg: 408.13 / Max: 411.39Min: 407.11 / Avg: 415.08 / Max: 420.62Min: 415.5 / Avg: 418.59 / Max: 422.71

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

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

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

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400m7a.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa10M20M30M40M50MSE +/- 224779.59, N = 3SE +/- 80227.43, N = 3SE +/- 221111.93, N = 3SE +/- 188621.29, N = 344502333354607133492589934762565
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400m7a.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa8M16M24M32M40MMin: 44055819.24 / Avg: 44502333.03 / Max: 44770830.13Min: 35320738.59 / Avg: 35460712.59 / Max: 35598631.78Min: 34500639.54 / Avg: 34925899.13 / Max: 35243586.87Min: 34503885.42 / Avg: 34762564.74 / Max: 35129702.06

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

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

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400m7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milan140280420560700SE +/- 0.65, N = 3SE +/- 3.18, N = 3SE +/- 13.51, N = 3SE +/- 12.58, N = 3521.98623.89629.00633.58MAX: 34235.44MAX: 41831.2MAX: 48846.34MAX: 54749.7
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400m7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56t2d-standard-60 AMD Milan110220330440550Min: 521.15 / Avg: 521.98 / Max: 523.27Min: 618.47 / Avg: 623.89 / Max: 629.48Min: 615.1 / Avg: 629 / Max: 656.01Min: 619.85 / Avg: 633.58 / Max: 658.71

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

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

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

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400m7a.16xlargec2d-standard-56c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan9M18M27M36M45MSE +/- 111073.27, N = 3SE +/- 177230.11, N = 3SE +/- 66565.66, N = 3SE +/- 130588.20, N = 342643903346258993433223734123810
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400m7a.16xlargec2d-standard-56c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan7M14M21M28M35MMin: 42439023.24 / Avg: 42643902.58 / Max: 42820707.26Min: 34320291.45 / Avg: 34625898.98 / Max: 34934216.63Min: 34199369.37 / Avg: 34332237.31 / Max: 34405919.84Min: 33867500.37 / Avg: 34123809.65 / Max: 34295426.94

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

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

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400m7a.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa100200300400500SE +/- 7.15, N = 3SE +/- 4.37, N = 3SE +/- 35.57, N = 3SE +/- 27.08, N = 3355.13414.40433.96447.68MAX: 67149.77MAX: 91109.59MAX: 103381.73MAX: 95136.87
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400m7a.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa80160240320400Min: 342.97 / Avg: 355.13 / Max: 367.73Min: 405.86 / Avg: 414.4 / Max: 420.25Min: 371.9 / Avg: 433.96 / Max: 495.11Min: 393.9 / Avg: 447.68 / Max: 480.18

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

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

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

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400m7a.16xlargec2d-standard-56c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan10M20M30M40M50MSE +/- 99649.31, N = 3SE +/- 248722.01, N = 3SE +/- 267152.12, N = 3SE +/- 354923.23, N = 344699315353773763535988435068557
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400m7a.16xlargec2d-standard-56c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan8M16M24M32M40MMin: 44502724.78 / Avg: 44699315.07 / Max: 44825967.71Min: 35050704.46 / Avg: 35377376.32 / Max: 35865599.97Min: 34831565.91 / Avg: 35359884.22 / Max: 35693112.85Min: 34680351.11 / Avg: 35068557.46 / Max: 35777328.86

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

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

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400m7a.16xlargec2d-standard-56c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan150300450600750SE +/- 4.86, N = 3SE +/- 1.38, N = 3SE +/- 7.53, N = 3SE +/- 25.87, N = 3598.49679.86682.12709.46MAX: 62432.53MAX: 79453.07MAX: 98294.84MAX: 113264.06
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400m7a.16xlargec2d-standard-56c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan120240360480600Min: 591.51 / Avg: 598.49 / Max: 607.85Min: 677.17 / Avg: 679.86 / Max: 681.77Min: 667.23 / Avg: 682.12 / Max: 691.46Min: 667.86 / Avg: 709.46 / Max: 756.89

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

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

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

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.

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.

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.

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.

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

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

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

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

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

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

Laghos

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

OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Triple Point Problemc7g.16xlarget2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56c6g.16xlarge50100150200250SE +/- 0.90, N = 3SE +/- 1.77, N = 3SE +/- 1.67, N = 3SE +/- 0.22, N = 3SE +/- 0.61, N = 3SE +/- 0.50, N = 3231.85222.30218.86209.00199.80179.521. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Triple Point Problemc7g.16xlarget2d-standard-60 AMD Milanm7a.16xlargec3d-standard-60 AMD Genoac2d-standard-56c6g.16xlarge4080120160200Min: 230.87 / Avg: 231.85 / Max: 233.65Min: 218.83 / Avg: 222.3 / Max: 224.61Min: 216.51 / Avg: 218.86 / Max: 222.1Min: 208.59 / Avg: 209 / Max: 209.36Min: 198.86 / Avg: 199.8 / Max: 200.95Min: 178.78 / Avg: 179.52 / Max: 180.481. (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-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

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

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

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

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

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6, Losslessm7a.16xlargec7g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c6g.16xlarge246810SE +/- 0.008, N = 3SE +/- 0.009, N = 3SE +/- 0.099, N = 3SE +/- 0.031, N = 3SE +/- 0.015, N = 3SE +/- 0.032, N = 35.6785.9146.8897.6398.0808.8791. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6, Losslessm7a.16xlargec7g.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc2d-standard-56c6g.16xlarge3691215Min: 5.66 / Avg: 5.68 / Max: 5.69Min: 5.9 / Avg: 5.91 / Max: 5.93Min: 6.79 / Avg: 6.89 / Max: 7.09Min: 7.6 / Avg: 7.64 / Max: 7.7Min: 8.05 / Avg: 8.08 / Max: 8.1Min: 8.84 / Avg: 8.88 / Max: 8.941. (CXX) g++ options: -O3 -fPIC -lm

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

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

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

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: 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

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

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: 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

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

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

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

nginx

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

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500c7g.16xlargem7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargec2d-standard-5650K100K150K200K250KSE +/- 757.47, N = 3SE +/- 451.60, N = 3SE +/- 126.15, N = 3SE +/- 394.72, N = 3SE +/- 249.05, N = 3SE +/- 513.44, N = 3254864.93233014.72187350.44162957.75162553.85160196.241. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500c7g.16xlargem7a.16xlargec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargec2d-standard-5640K80K120K160K200KMin: 253994.6 / Avg: 254864.93 / Max: 256373.95Min: 232522.08 / Avg: 233014.72 / Max: 233916.65Min: 187110.72 / Avg: 187350.44 / Max: 187538.43Min: 162237.8 / Avg: 162957.75 / Max: 163598.21Min: 162079.43 / Avg: 162553.85 / Max: 162922.48Min: 159584.73 / Avg: 160196.24 / Max: 161216.431. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 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

OpenRadioss

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bumper Beamm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-5620406080100SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 1.56, N = 15SE +/- 0.85, N = 366.2775.6892.8798.45
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bumper Beamm7a.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac2d-standard-5620406080100Min: 66.21 / Avg: 66.27 / Max: 66.36Min: 75.53 / Avg: 75.68 / Max: 75.87Min: 87.28 / Avg: 92.87 / Max: 112.18Min: 96.86 / Avg: 98.45 / Max: 99.75

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop Testm7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoa918273645SE +/- 0.08, N = 3SE +/- 0.39, N = 15SE +/- 0.12, N = 3SE +/- 1.27, N = 1526.1430.1236.8438.82
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop Testm7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoa816243240Min: 25.98 / Avg: 26.14 / Max: 26.23Min: 29.32 / Avg: 30.12 / Max: 34.2Min: 36.66 / Avg: 36.84 / Max: 37.07Min: 35.18 / Avg: 38.82 / Max: 48.81

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bird Strike on Windshieldm7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoa306090120150SE +/- 0.18, N = 3SE +/- 0.13, N = 3SE +/- 0.41, N = 3SE +/- 3.26, N = 9115.96123.61146.56147.31
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bird Strike on Windshieldm7a.16xlarget2d-standard-60 AMD Milanc2d-standard-56c3d-standard-60 AMD Genoa306090120150Min: 115.72 / Avg: 115.96 / Max: 116.32Min: 123.45 / Avg: 123.61 / Max: 123.87Min: 145.75 / Avg: 146.56 / Max: 147.1Min: 135.81 / Avg: 147.31 / Max: 168.83

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Rubber O-Ring Seal Installationm7a.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa20406080100SE +/- 0.73, N = 3SE +/- 0.24, N = 3SE +/- 0.22, N = 3SE +/- 4.01, N = 1259.1869.4372.0689.65
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Rubber O-Ring Seal Installationm7a.16xlargec2d-standard-56t2d-standard-60 AMD Milanc3d-standard-60 AMD Genoa20406080100Min: 58.18 / Avg: 59.18 / Max: 60.59Min: 68.96 / Avg: 69.43 / Max: 69.68Min: 71.64 / Avg: 72.06 / Max: 72.37Min: 61.88 / Avg: 89.65 / Max: 101.97

Model: INIVOL and Fluid Structure Interaction Drop Container

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

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

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

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

OpenSSL

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

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256m7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlargec2d-standard-5613000M26000M39000M52000M65000MSE +/- 161718701.08, N = 3SE +/- 1709212.75, N = 3SE +/- 20491615.60, N = 3SE +/- 9562123.40, N = 3SE +/- 192235444.29, N = 3SE +/- 7310870.38, N = 3622538611975443855517050884997103462118213134228851397339825794840-m64 -lssl -lcrypto-lssl -lcrypto-m64 -lssl -lcrypto-m64 -lssl -lcrypto-lssl -lcrypto-m641. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256m7a.16xlargec7g.16xlarget2d-standard-60 AMD Milanc3d-standard-60 AMD Genoac6g.16xlargec2d-standard-5611000M22000M33000M44000M55000MMin: 61930893420 / Avg: 62253861196.67 / Max: 62430434030Min: 54435266390 / Avg: 54438555170 / Max: 54441007130Min: 50844113450 / Avg: 50884997103.33 / Max: 50907911600Min: 46197984480 / Avg: 46211821313.33 / Max: 46230172540Min: 41904076360 / Avg: 42288513973.33 / Max: 42485113330Min: 39811212750 / Avg: 39825794840 / Max: 398340178001. (CC) gcc options: -pthread -O3 -ldl

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

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

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

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

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

OpenVINO

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

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.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.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.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.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: 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: 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 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: 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: 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.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

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

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: 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: 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.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.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

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-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

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: 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: 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: 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

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: 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.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.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: 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.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.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.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.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.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.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

PostgreSQL

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

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