amazon 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 2310055-NE-2310039NE76 GCE c3d-standard-60 - Phoronix Test Suite GCE c3d-standard-60 amazon testing on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2310055-NE-2310039NE76&grw&rdt .
GCE c3d-standard-60 Processor Motherboard Chipset Memory Disk Network OS Kernel Vulkan Compiler File-System System Layer c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge AMD EPYC 9B14 (30 Cores / 60 Threads) Google Compute Engine c3d-standard-60 Intel 440FX 82441FX PMC 240GB 215GB nvme_card-pd Google Compute Engine Virtual Ubuntu 22.04 6.2.0-1014-gcp (x86_64) 1.3.238 GCC 11.4.0 ext4 KVM AMD EPYC 7B13 (60 Cores) Google Compute Engine t2d-standard-60 215GB PersistentDisk Red Hat Virtio device ARMv8 Neoverse-N1 (64 Cores) Amazon EC2 c6g.16xlarge (1.0 BIOS) Amazon Device 0200 128GB 215GB Amazon Elastic Block Store Amazon Elastic 5.19.0-1025-aws (aarch64) amazon OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler 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 Processor Details - c3d-standard-60 AMD Genoa, t2d-standard-60 AMD Milan: CPU Microcode: 0xffffffff Java Details - OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04) Python Details - Python 3.10.12 Security 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
GCE c3d-standard-60 brl-cad: VGR Performance Metric nekrs: Kershaw nekrs: TurboPipe Periodic openradioss: Bumper Beam openradioss: Chrysler Neon 1M openradioss: Cell Phone Drop Test heffte: r2c - FFTW - float - 128 openradioss: Bird Strike on Windshield openradioss: Rubber O-Ring Seal Installation laghos: Sedov Blast Wave, ube_922_hex.mesh heffte: c2c - FFTW - float - 128 libxsmm: 64 laghos: Triple Point Problem heffte: c2c - FFTW - double - 128 libxsmm: 32 tensorflow: CPU - 16 - ResNet-50 tensorflow: CPU - 64 - ResNet-50 gromacs: MPI CPU - water_GMX50_bare lammps: 20k Atoms heffte: r2c - FFTW - double - 128 tensorflow: CPU - 32 - ResNet-50 lammps: Rhodopsin Protein npb: CG.C remhos: Sample Remap Example npb: BT.C npb: EP.D npb: FT.C npb: IS.D npb: LU.C npb: MG.C npb: SP.C rodinia: OpenMP LavaMD rodinia: OpenMP HotSpot3D rodinia: OpenMP Leukocyte rodinia: OpenMP CFD Solver rodinia: OpenMP Streamcluster openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU amg: incompact3d: input.i3d 129 Cells Per Direction incompact3d: input.i3d 193 Cells Per Direction coremark: CoreMark Size 666 - Iterations Per Second stockfish: Total Time compress-7zip: Compression Rating compress-7zip: Decompression Rating build-linux-kernel: defconfig build-linux-kernel: allmodconfig blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only avifenc: 0 avifenc: 2 avifenc: 6 avifenc: 6, Lossless build-gem5: Time To Compile build-nodejs: Time To Compile nginx: 500 nginx: 1000 openssl: SHA256 openssl: SHA512 openssl: RSA4096 openssl: RSA4096 openssl: ChaCha20 openssl: AES-128-GCM openssl: AES-256-GCM openssl: ChaCha20-Poly1305 apache-iotdb: 500 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 800 - 400 apache-iotdb: 500 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 800 - 400 cassandra: Writes pgbench: 100 - 800 - Read Only pgbench: 100 - 1000 - Read Only pgbench: 100 - 800 - Read Write pgbench: 100 - 1000 - Read Write pgbench: 100 - 800 - Read Only - Average Latency pgbench: 100 - 1000 - Read Only - Average Latency pgbench: 100 - 800 - Read Write - Average Latency pgbench: 100 - 1000 - Read Write - Average Latency c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 510819 4289858333 4723940000 92.87 337.70 38.82 148.575 147.31 89.65 259.55 88.6301 489.7 209.00 57.3116 255.4 50.99 69.68 4.391 19.776 93.6005 62.74 17.423 19597.86 33.362 96257.48 3783.60 39647.47 2422.40 73563.13 42701.83 39919.71 64.862 84.166 45.498 10.025 6.448 18.39 648.81 142.75 83.99 142.90 83.91 1389.69 8.62 35.19 340.29 4166.39 2.87 576.94 20.77 2043.05 5.86 1875.28 15.98 6605.12 4.53 645.74 18.56 185.29 64.70 3650.57 8.20 1764.21 6.79 964.46 31.08 43607.04 0.52 761.14 39.38 54971.26 0.4 962889833 5.87157885 28.0196877 1445843.521552 105894457 271795 226211 78.068 41.538 3.250 6.889 176.767 198.394 187350.44 180537.84 46211821313 14702270573 20079.5 493077.6 173980949893 343095284440 293328048497 123909304773 33268158 418.59 34762565 623.89 34332237 447.68 35359884 682.12 228640 629363 3681935833 2730620000 75.68 327.88 30.12 196.948 123.61 72.06 364.64 109.676 554.2 222.30 60.0343 289.2 18.29 20.90 5.289 26.734 106.029 20.36 27.828 16649.37 16.326 122720.61 4935.68 54846.18 1752.62 94247.77 47291.96 43228.11 50.974 88.535 42.010 7.368 6.423 10.73 1393.56 73.74 208.47 78.96 193.45 368.39 40.67 26.28 568.77 1285.47 11.65 225.48 66.46 1512.57 9.90 1014.70 14.76 4239.52 3.52 565.34 26.50 96.58 155.14 2646.58 11.32 633.76 23.64 370.03 81.00 29668.12 0.99 390.72 76.72 44049.15 0.61 920427767 5.63057327 24.5721181 1730658.449440 112958788 278973 247255 33.399 333.351 34.27 89.35 45.22 351.58 112.64 78.350 41.989 3.205 7.639 170.930 191.706 162957.75 155609.04 50884997103 22244804183 12973.0 860844.6 180249145770 234604082610 216025967640 119647720337 33466804 415.08 34925899 633.58 34123810 433.96 35068557 709.46 187169 2003784 2008186 5682 5793 0.399 0.498 140.916 172.717 1758860000 2221710000 202.445 321.29 129.172 589.5 179.52 32.3575 312.7 2.766 25.059 79.0156 26.041 13343.35 20.816 24229.14 2213.76 21386.37 915.80 18807.75 25661.04 9716.99 62.301 5.983 14.212 0.1 9996.56 1.06 947.59 1.06 947.86 6.53 153.12 0.04 22391.86 20.79 48.08 2.61 382.47 0.14 6990.10 8.39 119.17 0.46 2186.81 0.15 6773.31 1.36 735.58 5.50 181.94 7.36 135.87 2.53 394.94 178.82 5.58 2.36 423.95 136.16 7.33 1032893667 5.61811686 25.8748328 1259870.716902 81807706 239735 234046 102.216 409.097 270.068 167.946 4.467 8.879 224.414 286.201 162553.85 158700.36 42288513973 14384917863 2640.0 215683.2 67324778360 158788510970 129198197600 46715126487 217355 1043267 975031 4784 4776 0.767 1.026 168.191 210.608 OpenBenchmarking.org
BRL-CAD VGR Performance Metric OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.36 VGR Performance Metric c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 130K 260K 390K 520K 650K 510819 629363 1. (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
nekRS Input: Kershaw OpenBenchmarking.org flops/rank, More Is Better nekRS 23.0 Input: Kershaw c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 900M 1800M 2700M 3600M 4500M SE +/- 57202190.49, N = 12 SE +/- 84802173.02, N = 12 SE +/- 2970005.61, N = 3 4289858333 3681935833 1758860000 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
nekRS Input: TurboPipe Periodic OpenBenchmarking.org flops/rank, More Is Better nekRS 23.0 Input: TurboPipe Periodic c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 1000M 2000M 3000M 4000M 5000M SE +/- 201939132.13, N = 12 SE +/- 481352.26, N = 3 SE +/- 1790009.31, N = 3 4723940000 2730620000 2221710000 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
OpenRadioss Model: Bumper Beam OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Bumper Beam c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 20 40 60 80 100 SE +/- 1.56, N = 15 SE +/- 0.10, N = 3 92.87 75.68
OpenRadioss Model: Chrysler Neon 1M OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Chrysler Neon 1M c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 70 140 210 280 350 SE +/- 2.03, N = 3 SE +/- 1.48, N = 3 337.70 327.88
OpenRadioss Model: Cell Phone Drop Test OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Cell Phone Drop Test c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 9 18 27 36 45 SE +/- 1.27, N = 15 SE +/- 0.39, N = 15 38.82 30.12
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 40 80 120 160 200 SE +/- 2.19, N = 12 SE +/- 0.82, N = 3 SE +/- 0.57, N = 3 148.58 196.95 202.45 1. (CXX) g++ options: -O3
OpenRadioss Model: Bird Strike on Windshield OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Bird Strike on Windshield c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 30 60 90 120 150 SE +/- 3.26, N = 9 SE +/- 0.13, N = 3 147.31 123.61
OpenRadioss Model: Rubber O-Ring Seal Installation OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 20 40 60 80 100 SE +/- 4.01, N = 12 SE +/- 0.22, N = 3 89.65 72.06
Laghos Test: Sedov Blast Wave, ube_922_hex.mesh OpenBenchmarking.org Major Kernels Total Rate, More Is Better Laghos 3.1 Test: Sedov Blast Wave, ube_922_hex.mesh c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 80 160 240 320 400 SE +/- 0.31, N = 3 SE +/- 0.62, N = 3 SE +/- 0.79, N = 3 259.55 364.64 321.29 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 30 60 90 120 150 SE +/- 0.52, N = 3 SE +/- 0.78, N = 3 SE +/- 0.11, N = 3 88.63 109.68 129.17 1. (CXX) g++ options: -O3
libxsmm M N K: 64 OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 64 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 130 260 390 520 650 SE +/- 0.12, N = 3 SE +/- 0.25, N = 3 SE +/- 0.96, N = 3 489.7 554.2 589.5 -lquadmath -msse4.2 -lquadmath -msse4.2 -march=armv8.1-a 1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden
Laghos Test: Triple Point Problem OpenBenchmarking.org Major Kernels Total Rate, More Is Better Laghos 3.1 Test: Triple Point Problem c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 50 100 150 200 250 SE +/- 0.22, N = 3 SE +/- 1.77, N = 3 SE +/- 0.50, N = 3 209.00 222.30 179.52 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 13 26 39 52 65 SE +/- 1.29, N = 15 SE +/- 0.66, N = 3 SE +/- 0.10, N = 3 57.31 60.03 32.36 1. (CXX) g++ options: -O3
libxsmm M N K: 32 OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 32 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 70 140 210 280 350 SE +/- 0.19, N = 3 SE +/- 3.60, N = 4 SE +/- 0.47, N = 3 255.4 289.2 312.7 -lquadmath -msse4.2 -lquadmath -msse4.2 -march=armv8.1-a 1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden
TensorFlow Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 12 24 36 48 60 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 50.99 18.29
TensorFlow Device: CPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: ResNet-50 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 16 32 48 64 80 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 69.68 20.90
GROMACS Implementation: MPI CPU - Input: water_GMX50_bare OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 1.19 2.38 3.57 4.76 5.95 SE +/- 0.011, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 4.391 5.289 2.766 1. (CXX) g++ options: -O3
LAMMPS Molecular Dynamics Simulator Model: 20k Atoms OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: 20k Atoms c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 6 12 18 24 30 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 19.78 26.73 25.06 -lm -lm 1. (CXX) g++ options: -O3 -ldl
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 20 40 60 80 100 SE +/- 1.78, N = 12 SE +/- 0.91, N = 3 SE +/- 0.71, N = 3 93.60 106.03 79.02 1. (CXX) g++ options: -O3
TensorFlow Device: CPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: ResNet-50 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 14 28 42 56 70 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 62.74 20.36
LAMMPS Molecular Dynamics Simulator Model: Rhodopsin Protein OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: Rhodopsin Protein c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 7 14 21 28 35 SE +/- 0.54, N = 12 SE +/- 0.17, N = 3 SE +/- 0.04, N = 3 17.42 27.83 26.04 -lm -lm 1. (CXX) g++ options: -O3 -ldl
NAS Parallel Benchmarks Test / Class: CG.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 4K 8K 12K 16K 20K SE +/- 77.92, N = 3 SE +/- 1215.82, N = 15 SE +/- 23.52, N = 3 19597.86 16649.37 13343.35 1. (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
Remhos Test: Sample Remap Example OpenBenchmarking.org Seconds, Fewer Is Better Remhos 1.0 Test: Sample Remap Example c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 8 16 24 32 40 SE +/- 0.17, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 33.36 16.33 20.82 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
NAS Parallel Benchmarks Test / Class: BT.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: BT.C c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 30K 60K 90K 120K 150K SE +/- 122.23, N = 3 SE +/- 42.77, N = 3 SE +/- 7.69, N = 3 96257.48 122720.61 24229.14 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
NAS Parallel Benchmarks Test / Class: EP.D OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.D c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 1100 2200 3300 4400 5500 SE +/- 30.67, N = 3 SE +/- 51.21, N = 5 SE +/- 7.28, N = 3 3783.60 4935.68 2213.76 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
NAS Parallel Benchmarks Test / Class: FT.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: FT.C c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 12K 24K 36K 48K 60K SE +/- 600.19, N = 15 SE +/- 137.77, N = 3 SE +/- 2.85, N = 3 39647.47 54846.18 21386.37 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
NAS Parallel Benchmarks Test / Class: IS.D OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: IS.D c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 500 1000 1500 2000 2500 SE +/- 36.45, N = 15 SE +/- 142.62, N = 12 SE +/- 0.58, N = 3 2422.40 1752.62 915.80 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
NAS Parallel Benchmarks Test / Class: LU.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 20K 40K 60K 80K 100K SE +/- 293.57, N = 3 SE +/- 1463.52, N = 15 SE +/- 7.52, N = 3 73563.13 94247.77 18807.75 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
NAS Parallel Benchmarks Test / Class: MG.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 10K 20K 30K 40K 50K SE +/- 29.69, N = 3 SE +/- 145.06, N = 3 SE +/- 10.99, N = 3 42701.83 47291.96 25661.04 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
NAS Parallel Benchmarks Test / Class: SP.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.C c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 9K 18K 27K 36K 45K SE +/- 45.01, N = 3 SE +/- 555.92, N = 3 SE +/- 0.76, N = 3 39919.71 43228.11 9716.99 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
Rodinia Test: OpenMP LavaMD OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 14 28 42 56 70 SE +/- 0.18, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 64.86 50.97 62.30 1. (CXX) g++ options: -O2 -lOpenCL
Rodinia Test: OpenMP HotSpot3D OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 20 40 60 80 100 SE +/- 0.86, N = 15 SE +/- 1.83, N = 12 84.17 88.54 1. (CXX) g++ options: -O2 -lOpenCL
Rodinia Test: OpenMP Leukocyte OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 10 20 30 40 50 SE +/- 0.17, N = 3 SE +/- 0.02, N = 3 45.50 42.01 1. (CXX) g++ options: -O2 -lOpenCL
Rodinia Test: OpenMP CFD Solver OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 3 6 9 12 15 SE +/- 0.013, N = 3 SE +/- 0.034, N = 3 SE +/- 0.001, N = 3 10.025 7.368 5.983 1. (CXX) g++ options: -O2 -lOpenCL
Rodinia Test: OpenMP Streamcluster OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 4 8 12 16 20 SE +/- 0.104, N = 15 SE +/- 0.009, N = 3 SE +/- 0.017, N = 3 6.448 6.423 14.212 1. (CXX) g++ options: -O2 -lOpenCL
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 18.39 10.73 0.10 -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 2K 4K 6K 8K 10K SE +/- 0.17, N = 3 SE +/- 1.32, N = 3 SE +/- 1.02, N = 3 648.81 1393.56 9996.56 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 9993.58 / MAX: 10001.76 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 30 60 90 120 150 SE +/- 0.23, N = 3 SE +/- 3.12, N = 15 SE +/- 0.00, N = 3 142.75 73.74 1.06 -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 200 400 600 800 1000 SE +/- 0.13, N = 3 SE +/- 9.17, N = 15 SE +/- 0.37, N = 3 83.99 208.47 947.59 -pie - MIN: 119.65 / MAX: 316.01 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 943.57 / MAX: 951.68 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Person Detection FP32 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 30 60 90 120 150 SE +/- 0.48, N = 3 SE +/- 2.74, N = 15 SE +/- 0.00, N = 3 142.90 78.96 1.06 -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Detection FP32 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 200 400 600 800 1000 SE +/- 0.29, N = 3 SE +/- 7.79, N = 15 SE +/- 0.55, N = 3 83.91 193.45 947.86 -pie - MIN: 113.44 / MAX: 315.54 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 944.57 / MAX: 958.26 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 300 600 900 1200 1500 SE +/- 6.33, N = 3 SE +/- 1.55, N = 3 SE +/- 0.01, N = 3 1389.69 368.39 6.53 -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 30 60 90 120 150 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 SE +/- 0.09, N = 3 8.62 40.67 153.12 -pie - MIN: 12.07 / MAX: 59.44 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 152.69 / MAX: 153.75 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 35.19 26.28 0.04 -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 5K 10K 15K 20K 25K SE +/- 0.21, N = 3 SE +/- 0.35, N = 3 SE +/- 15.60, N = 3 340.29 568.77 22391.86 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 22364.17 / MAX: 22423.42 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Face Detection Retail FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 900 1800 2700 3600 4500 SE +/- 8.74, N = 3 SE +/- 15.96, N = 3 SE +/- 0.01, N = 3 4166.39 1285.47 20.79 -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Face Detection Retail FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 11 22 33 44 55 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 2.87 11.65 48.08 -pie - MIN: 3.76 / MAX: 29.1 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 47.55 / MAX: 50.49 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Road Segmentation ADAS FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 120 240 360 480 600 SE +/- 1.04, N = 3 SE +/- 0.93, N = 3 SE +/- 0.00, N = 3 576.94 225.48 2.61 -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Road Segmentation ADAS FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 80 160 240 320 400 SE +/- 0.04, N = 3 SE +/- 0.27, N = 3 SE +/- 0.20, N = 3 20.77 66.46 382.47 -pie - MIN: 25.85 / MAX: 122.2 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 381.67 / MAX: 383.43 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 400 800 1200 1600 2000 SE +/- 3.16, N = 3 SE +/- 1.12, N = 3 SE +/- 0.00, N = 15 2043.05 1512.57 0.14 -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 1500 3000 4500 6000 7500 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 27.09, N = 15 5.86 9.90 6990.10 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6842.82 / MAX: 7088.53 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 400 800 1200 1600 2000 SE +/- 0.47, N = 3 SE +/- 0.56, N = 3 SE +/- 0.01, N = 3 1875.28 1014.70 8.39 -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 30 60 90 120 150 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 15.98 14.76 119.17 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 118.73 / MAX: 120.21 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Face Detection Retail FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 1400 2800 4200 5600 7000 SE +/- 6.52, N = 3 SE +/- 2.08, N = 3 SE +/- 0.01, N = 3 6605.12 4239.52 0.46 -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Face Detection Retail FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 500 1000 1500 2000 2500 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 27.29, N = 3 4.53 3.52 2186.81 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 2135.06 / MAX: 2233.34 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Road Segmentation ADAS FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 140 280 420 560 700 SE +/- 0.79, N = 3 SE +/- 0.37, N = 3 SE +/- 0.00, N = 3 645.74 565.34 0.15 -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Road Segmentation ADAS FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 1500 3000 4500 6000 7500 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 76.95, N = 3 18.56 26.50 6773.31 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6616.83 / MAX: 6859.99 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 40 80 120 160 200 SE +/- 0.25, N = 3 SE +/- 0.37, N = 3 SE +/- 0.00, N = 3 185.29 96.58 1.36 -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 160 320 480 640 800 SE +/- 0.09, N = 3 SE +/- 0.58, N = 3 SE +/- 0.26, N = 3 64.70 155.14 735.58 -pie - MIN: 114.75 / MAX: 224.64 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 734.34 / MAX: 738.23 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 800 1600 2400 3200 4000 SE +/- 3.28, N = 3 SE +/- 3.26, N = 3 SE +/- 0.01, N = 3 3650.57 2646.58 5.50 -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 40 80 120 160 200 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.24, N = 3 8.20 11.32 181.94 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 180.71 / MAX: 184.11 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 400 800 1200 1600 2000 SE +/- 4.38, N = 3 SE +/- 3.66, N = 3 SE +/- 0.01, N = 3 1764.21 633.76 7.36 -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 30 60 90 120 150 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 SE +/- 0.21, N = 3 6.79 23.64 135.87 -pie - MIN: 9.57 / MAX: 42.22 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 132.35 / MAX: 148.64 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Handwritten English Recognition FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 200 400 600 800 1000 SE +/- 0.60, N = 3 SE +/- 0.96, N = 3 SE +/- 0.02, N = 3 964.46 370.03 2.53 -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Handwritten English Recognition FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 90 180 270 360 450 SE +/- 0.02, N = 3 SE +/- 0.21, N = 3 SE +/- 2.18, N = 3 31.08 81.00 394.94 -pie - MIN: 64.65 / MAX: 134.64 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 380.82 / MAX: 408.15 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 9K 18K 27K 36K 45K SE +/- 18.42, N = 3 SE +/- 14.46, N = 3 SE +/- 0.39, N = 3 43607.04 29668.12 178.82 -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 1.2555 2.511 3.7665 5.022 6.2775 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 0.52 0.99 5.58 -pie - MIN: 0.8 / MAX: 13.76 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 5.45 / MAX: 6.48 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Handwritten English Recognition FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 160 320 480 640 800 SE +/- 1.75, N = 3 SE +/- 1.37, N = 3 SE +/- 0.00, N = 3 761.14 390.72 2.36 -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Handwritten English Recognition FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 90 180 270 360 450 SE +/- 0.09, N = 3 SE +/- 0.27, N = 3 SE +/- 0.26, N = 3 39.38 76.72 423.95 -pie - MIN: 58.8 / MAX: 121.69 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 411.17 / MAX: 440.57 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 12K 24K 36K 48K 60K SE +/- 45.46, N = 3 SE +/- 332.93, N = 3 SE +/- 0.48, N = 3 54971.26 44049.15 136.16 -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 0.40 0.61 7.33 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6.54 / MAX: 9.95 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
Algebraic Multi-Grid Benchmark OpenBenchmarking.org Figure Of Merit, More Is Better Algebraic Multi-Grid Benchmark 1.2 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 200M 400M 600M 800M 1000M SE +/- 2060519.90, N = 3 SE +/- 1088162.98, N = 3 SE +/- 176147.98, N = 3 962889833 920427767 1032893667 1. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
Xcompact3d Incompact3d Input: input.i3d 129 Cells Per Direction OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 129 Cells Per Direction c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 1.3211 2.6422 3.9633 5.2844 6.6055 SE +/- 0.04970425, N = 3 SE +/- 0.02210564, N = 3 SE +/- 0.01888616, N = 3 5.87157885 5.63057327 5.61811686 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
Xcompact3d Incompact3d Input: input.i3d 193 Cells Per Direction OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 7 14 21 28 35 SE +/- 0.25, N = 3 SE +/- 0.31, N = 12 SE +/- 0.01, N = 3 28.02 24.57 25.87 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
Coremark CoreMark Size 666 - Iterations Per Second OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 400K 800K 1200K 1600K 2000K SE +/- 1295.68, N = 3 SE +/- 9191.61, N = 3 SE +/- 635.29, N = 3 1445843.52 1730658.45 1259870.72 1. (CC) gcc options: -O2 -lrt" -lrt
Stockfish Total Time OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 15 Total Time c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 20M 40M 60M 80M 100M SE +/- 1450871.09, N = 3 SE +/- 1618403.29, N = 14 SE +/- 1645401.81, N = 15 105894457 112958788 81807706 -m64 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -m64 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 1. (CXX) g++ options: -lgcov -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -flto -flto=jobserver
7-Zip Compression Test: Compression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 60K 120K 180K 240K 300K SE +/- 346.51, N = 3 SE +/- 388.74, N = 3 SE +/- 359.95, N = 3 271795 278973 239735 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
7-Zip Compression Test: Decompression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 50K 100K 150K 200K 250K SE +/- 519.21, N = 3 SE +/- 347.74, N = 3 SE +/- 57.33, N = 3 226211 247255 234046 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
Timed Linux Kernel Compilation Build: defconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: defconfig t2d-standard-60 AMD Milan c6g.16xlarge 20 40 60 80 100 SE +/- 0.37, N = 5 SE +/- 0.82, N = 3 33.40 102.22
Timed Linux Kernel Compilation Build: allmodconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: allmodconfig t2d-standard-60 AMD Milan c6g.16xlarge 90 180 270 360 450 SE +/- 1.20, N = 3 SE +/- 2.41, N = 3 333.35 409.10
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: BMW27 - Compute: CPU-Only t2d-standard-60 AMD Milan 8 16 24 32 40 SE +/- 0.06, N = 3 34.27
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Classroom - Compute: CPU-Only t2d-standard-60 AMD Milan 20 40 60 80 100 SE +/- 0.07, N = 3 89.35
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only t2d-standard-60 AMD Milan 10 20 30 40 50 SE +/- 0.13, N = 3 45.22
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Barbershop - Compute: CPU-Only t2d-standard-60 AMD Milan 80 160 240 320 400 SE +/- 0.60, N = 3 351.58
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only t2d-standard-60 AMD Milan 30 60 90 120 150 SE +/- 0.03, N = 3 112.64
libavif avifenc Encoder Speed: 0 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 0 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 60 120 180 240 300 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.34, N = 3 78.07 78.35 270.07 1. (CXX) g++ options: -O3 -fPIC -lm
libavif avifenc Encoder Speed: 2 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 2 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 40 80 120 160 200 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.22, N = 3 41.54 41.99 167.95 1. (CXX) g++ options: -O3 -fPIC -lm
libavif avifenc Encoder Speed: 6 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 6 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 1.0051 2.0102 3.0153 4.0204 5.0255 SE +/- 0.007, N = 3 SE +/- 0.013, N = 3 SE +/- 0.014, N = 3 3.250 3.205 4.467 1. (CXX) g++ options: -O3 -fPIC -lm
libavif avifenc Encoder Speed: 6, Lossless OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 6, Lossless c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 2 4 6 8 10 SE +/- 0.099, N = 3 SE +/- 0.031, N = 3 SE +/- 0.032, N = 3 6.889 7.639 8.879 1. (CXX) g++ options: -O3 -fPIC -lm
Timed Gem5 Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Gem5 Compilation 21.2 Time To Compile c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 50 100 150 200 250 SE +/- 0.07, N = 3 SE +/- 0.27, N = 3 SE +/- 0.03, N = 3 176.77 170.93 224.41
Timed Node.js Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Node.js Compilation 19.8.1 Time To Compile c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 60 120 180 240 300 SE +/- 0.29, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 198.39 191.71 286.20
nginx Connections: 500 OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 500 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 40K 80K 120K 160K 200K SE +/- 126.15, N = 3 SE +/- 394.72, N = 3 SE +/- 249.05, N = 3 187350.44 162957.75 162553.85 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
nginx Connections: 1000 OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 1000 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 40K 80K 120K 160K 200K SE +/- 688.79, N = 3 SE +/- 156.32, N = 3 SE +/- 132.24, N = 3 180537.84 155609.04 158700.36 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OpenSSL Algorithm: SHA256 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA256 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 11000M 22000M 33000M 44000M 55000M SE +/- 9562123.40, N = 3 SE +/- 20491615.60, N = 3 SE +/- 192235444.29, N = 3 46211821313 50884997103 42288513973 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: SHA512 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA512 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 5000M 10000M 15000M 20000M 25000M SE +/- 4399663.13, N = 3 SE +/- 108274834.92, N = 3 SE +/- 6214593.12, N = 3 14702270573 22244804183 14384917863 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 4K 8K 12K 16K 20K SE +/- 14.62, N = 3 SE +/- 11.58, N = 3 SE +/- 0.09, N = 3 20079.5 12973.0 2640.0 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org verify/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 200K 400K 600K 800K 1000K SE +/- 50.91, N = 3 SE +/- 644.45, N = 3 SE +/- 6.55, N = 3 493077.6 860844.6 215683.2 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: ChaCha20 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 40000M 80000M 120000M 160000M 200000M SE +/- 12326205.97, N = 3 SE +/- 47698640.87, N = 3 SE +/- 372419.81, N = 3 173980949893 180249145770 67324778360 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: AES-128-GCM OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-128-GCM c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 70000M 140000M 210000M 280000M 350000M SE +/- 342949201.09, N = 3 SE +/- 376720190.05, N = 3 SE +/- 5537993.15, N = 3 343095284440 234604082610 158788510970 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: AES-256-GCM OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-256-GCM c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 60000M 120000M 180000M 240000M 300000M SE +/- 71241287.97, N = 3 SE +/- 178290221.71, N = 3 SE +/- 2100313.05, N = 3 293328048497 216025967640 129198197600 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: ChaCha20-Poly1305 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 30000M 60000M 90000M 120000M 150000M SE +/- 3664727.47, N = 3 SE +/- 198663058.81, N = 3 SE +/- 2259404.37, N = 3 123909304773 119647720337 46715126487 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 7M 14M 21M 28M 35M SE +/- 154587.14, N = 3 SE +/- 303573.79, N = 3 33268158 33466804
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 90 180 270 360 450 SE +/- 2.14, N = 3 SE +/- 4.08, N = 3 418.59 415.08 MAX: 31920.67 MAX: 28810.4
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 7M 14M 21M 28M 35M SE +/- 188621.29, N = 3 SE +/- 221111.93, N = 3 34762565 34925899
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 140 280 420 560 700 SE +/- 3.18, N = 3 SE +/- 12.58, N = 3 623.89 633.58 MAX: 41831.2 MAX: 54749.7
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 7M 14M 21M 28M 35M SE +/- 66565.66, N = 3 SE +/- 130588.20, N = 3 34332237 34123810
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 100 200 300 400 500 SE +/- 27.08, N = 3 SE +/- 35.57, N = 3 447.68 433.96 MAX: 95136.87 MAX: 103381.73
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 8M 16M 24M 32M 40M SE +/- 267152.12, N = 3 SE +/- 354923.23, N = 3 35359884 35068557
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 150 300 450 600 750 SE +/- 7.53, N = 3 SE +/- 25.87, N = 3 682.12 709.46 MAX: 98294.84 MAX: 113264.06
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 4.1.3 Test: Writes c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 50K 100K 150K 200K 250K SE +/- 1129.40, N = 3 SE +/- 681.76, N = 3 SE +/- 3249.94, N = 12 228640 187169 217355
PostgreSQL Scaling Factor: 100 - Clients: 800 - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Only t2d-standard-60 AMD Milan c6g.16xlarge 400K 800K 1200K 1600K 2000K SE +/- 20558.90, N = 3 SE +/- 12058.27, N = 3 2003784 1043267 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 1000 - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only t2d-standard-60 AMD Milan c6g.16xlarge 400K 800K 1200K 1600K 2000K SE +/- 22497.42, N = 3 SE +/- 12606.16, N = 3 2008186 975031 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 800 - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Write t2d-standard-60 AMD Milan c6g.16xlarge 1200 2400 3600 4800 6000 SE +/- 49.28, N = 12 SE +/- 109.40, N = 12 5682 4784 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 1000 - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write t2d-standard-60 AMD Milan c6g.16xlarge 1200 2400 3600 4800 6000 SE +/- 49.93, N = 8 SE +/- 124.50, N = 9 5793 4776 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency t2d-standard-60 AMD Milan c6g.16xlarge 0.1726 0.3452 0.5178 0.6904 0.863 SE +/- 0.004, N = 3 SE +/- 0.009, N = 3 0.399 0.767 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency t2d-standard-60 AMD Milan c6g.16xlarge 0.2309 0.4618 0.6927 0.9236 1.1545 SE +/- 0.006, N = 3 SE +/- 0.013, N = 3 0.498 1.026 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency t2d-standard-60 AMD Milan c6g.16xlarge 40 80 120 160 200 SE +/- 1.23, N = 12 SE +/- 3.85, N = 12 140.92 168.19 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency t2d-standard-60 AMD Milan c6g.16xlarge 50 100 150 200 250 SE +/- 1.44, N = 8 SE +/- 6.00, N = 9 172.72 210.61 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
Phoronix Test Suite v10.8.4