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 2310039-NE-2310031NE80 GCE c3d-standard-60 - Phoronix Test Suite GCE c3d-standard-60 KVM testing on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2310039-NE-2310031NE80&rdt&grs .
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 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 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --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 - 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
GCE c3d-standard-60 openvino: Vehicle Detection FP16 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU tensorflow: CPU - 64 - ResNet-50 openvino: Face Detection Retail FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU tensorflow: CPU - 32 - ResNet-50 tensorflow: CPU - 16 - ResNet-50 openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Face Detection FP16 - CPU remhos: Sample Remap Example openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openssl: RSA4096 openvino: Face Detection FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openssl: RSA4096 openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openssl: SHA512 openvino: Age Gender Recognition Retail 0013 FP16 - CPU openssl: AES-128-GCM openvino: Road Segmentation ADAS FP16-INT8 - CPU laghos: Sedov Blast Wave, ube_922_hex.mesh npb: FT.C openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU rodinia: OpenMP CFD Solver openssl: AES-256-GCM lammps: 20k Atoms openvino: Vehicle Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU heffte: r2c - FFTW - float - 128 npb: EP.D openvino: Face Detection Retail FP16-INT8 - CPU npb: BT.C rodinia: OpenMP LavaMD openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU heffte: c2c - FFTW - float - 128 brl-cad: VGR Performance Metric cassandra: Writes gromacs: MPI CPU - water_GMX50_bare coremark: CoreMark Size 666 - Iterations Per Second nginx: 1000 nginx: 500 openvino: Road Segmentation ADAS FP16-INT8 - CPU incompact3d: input.i3d 193 Cells Per Direction libxsmm: 32 libxsmm: 64 avifenc: 6, Lossless npb: MG.C openssl: SHA256 compress-7zip: Decompression Rating rodinia: OpenMP Leukocyte npb: SP.C openvino: Weld Porosity Detection FP16 - CPU stockfish: Total Time laghos: Triple Point Problem amg: incompact3d: input.i3d 129 Cells Per Direction openssl: ChaCha20 openssl: ChaCha20-Poly1305 build-nodejs: Time To Compile build-gem5: Time To Compile openradioss: Chrysler Neon 1M compress-7zip: Compression Rating apache-iotdb: 500 - 100 - 800 - 400 avifenc: 6 avifenc: 2 apache-iotdb: 500 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 800 - 400 avifenc: 0 pgbench: 100 - 1000 - Read Write - Average Latency pgbench: 100 - 800 - Read Write - Average Latency pgbench: 100 - 1000 - Read Only - Average Latency pgbench: 100 - 800 - Read Only - Average Latency blender: Pabellon Barcelona - CPU-Only blender: Barbershop - CPU-Only blender: Fishy Cat - CPU-Only blender: Classroom - CPU-Only blender: BMW27 - CPU-Only pgbench: 100 - 1000 - Read Write pgbench: 100 - 800 - Read Write pgbench: 100 - 1000 - Read Only pgbench: 100 - 800 - Read Only build-linux-kernel: allmodconfig build-linux-kernel: defconfig openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU apache-iotdb: 800 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 500 - 400 lammps: Rhodopsin Protein nekrs: TurboPipe Periodic nekrs: Kershaw openradioss: Rubber O-Ring Seal Installation openradioss: Bird Strike on Windshield openradioss: Cell Phone Drop Test openradioss: Bumper Beam heffte: r2c - FFTW - double - 128 heffte: c2c - FFTW - double - 128 rodinia: OpenMP Streamcluster rodinia: OpenMP HotSpot3D npb: LU.C npb: IS.D npb: CG.C c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 8.62 2.87 1389.69 6.79 69.68 4166.39 20.77 62.74 50.99 1764.21 964.46 31.08 576.94 64.70 648.81 33.362 39.38 761.14 185.29 0.52 1875.28 493077.6 18.39 5.86 340.29 6605.12 20079.5 0.4 14702270573 43607.04 343095284440 18.56 259.55 39647.47 8.20 3650.57 10.025 293328048497 19.776 2043.05 35.19 148.575 3783.60 4.53 96257.48 64.862 54971.26 88.6301 510819 228640 4.391 1445843.521552 180537.84 187350.44 645.74 28.0196877 255.4 489.7 6.889 42701.83 46211821313 226211 45.498 39919.71 15.98 105894457 209.00 962889833 5.87157885 173980949893 123909304773 198.394 176.767 337.70 271795 623.89 3.250 41.538 418.59 35359884 34332237 33268158 34762565 78.068 83.91 142.90 83.99 142.75 682.12 447.68 17.423 4723940000 4289858333 89.65 147.31 38.82 92.87 93.6005 57.3116 6.448 84.166 73563.13 2422.40 19597.86 40.67 11.65 368.39 23.64 20.90 1285.47 66.46 20.36 18.29 633.76 370.03 81.00 225.48 155.14 1393.56 16.326 76.72 390.72 96.58 0.99 1014.70 860844.6 10.73 9.90 568.77 4239.52 12973.0 0.61 22244804183 29668.12 234604082610 26.50 364.64 54846.18 11.32 2646.58 7.368 216025967640 26.734 1512.57 26.28 196.948 4935.68 3.52 122720.61 50.974 44049.15 109.676 629363 187169 5.289 1730658.449440 155609.04 162957.75 565.34 24.5721181 289.2 554.2 7.639 47291.96 50884997103 247255 42.010 43228.11 14.76 112958788 222.30 920427767 5.63057327 180249145770 119647720337 191.706 170.930 327.88 278973 633.58 3.205 41.989 415.08 35068557 34123810 33466804 34925899 78.350 172.717 140.916 0.498 0.399 112.64 351.58 45.22 89.35 34.27 5793 5682 2008186 2003784 333.351 33.399 193.45 78.96 208.47 73.74 709.46 433.96 27.828 2730620000 3681935833 72.06 123.61 30.12 75.68 106.029 60.0343 6.423 88.535 94247.77 1752.62 16649.37 OpenBenchmarking.org
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 9 18 27 36 45 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 8.62 40.67 MIN: 5.74 / MAX: 36.03 MIN: 12.07 / MAX: 59.44 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 2.87 11.65 MIN: 1.77 / MAX: 11.42 MIN: 3.76 / MAX: 29.1 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 300 600 900 1200 1500 SE +/- 6.33, N = 3 SE +/- 1.55, N = 3 1389.69 368.39 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 6.79 23.64 MIN: 4.45 / MAX: 24.38 MIN: 9.57 / MAX: 42.22 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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
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 900 1800 2700 3600 4500 SE +/- 8.74, N = 3 SE +/- 15.96, N = 3 4166.39 1285.47 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 15 30 45 60 75 SE +/- 0.04, N = 3 SE +/- 0.27, N = 3 20.77 66.46 MIN: 11.01 / MAX: 36.69 MIN: 25.85 / MAX: 122.2 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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
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
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 400 800 1200 1600 2000 SE +/- 4.38, N = 3 SE +/- 3.66, N = 3 1764.21 633.76 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 200 400 600 800 1000 SE +/- 0.60, N = 3 SE +/- 0.96, N = 3 964.46 370.03 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 20 40 60 80 100 SE +/- 0.02, N = 3 SE +/- 0.21, N = 3 31.08 81.00 MIN: 19.98 / MAX: 50.81 MIN: 64.65 / MAX: 134.64 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 120 240 360 480 600 SE +/- 1.04, N = 3 SE +/- 0.93, N = 3 576.94 225.48 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 30 60 90 120 150 SE +/- 0.09, N = 3 SE +/- 0.58, N = 3 64.70 155.14 MIN: 50.24 / MAX: 93.15 MIN: 114.75 / MAX: 224.64 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 300 600 900 1200 1500 SE +/- 0.17, N = 3 SE +/- 1.32, N = 3 648.81 1393.56 MIN: 632.52 / MAX: 677.15 MIN: 1290.45 / MAX: 1469.82 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 8 16 24 32 40 SE +/- 0.17, N = 3 SE +/- 0.05, N = 3 33.36 16.33 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
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 20 40 60 80 100 SE +/- 0.09, N = 3 SE +/- 0.27, N = 3 39.38 76.72 MIN: 34.32 / MAX: 53.98 MIN: 58.8 / MAX: 121.69 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 160 320 480 640 800 SE +/- 1.75, N = 3 SE +/- 1.37, N = 3 761.14 390.72 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 40 80 120 160 200 SE +/- 0.25, N = 3 SE +/- 0.37, N = 3 185.29 96.58 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 0.2228 0.4456 0.6684 0.8912 1.114 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.52 0.99 MIN: 0.31 / MAX: 8.86 MIN: 0.8 / MAX: 13.76 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 400 800 1200 1600 2000 SE +/- 0.47, N = 3 SE +/- 0.56, N = 3 1875.28 1014.70 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 200K 400K 600K 800K 1000K SE +/- 50.91, N = 3 SE +/- 644.45, N = 3 493077.6 860844.6 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 18.39 10.73 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 5.86 9.90 MIN: 3.22 / MAX: 20.19 MIN: 8.13 / MAX: 26.87 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 120 240 360 480 600 SE +/- 0.21, N = 3 SE +/- 0.35, N = 3 340.29 568.77 MIN: 328.52 / MAX: 353.66 MIN: 481.12 / MAX: 606.31 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 1400 2800 4200 5600 7000 SE +/- 6.52, N = 3 SE +/- 2.08, N = 3 6605.12 4239.52 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 4K 8K 12K 16K 20K SE +/- 14.62, N = 3 SE +/- 11.58, N = 3 20079.5 12973.0 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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 0.1373 0.2746 0.4119 0.5492 0.6865 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.40 0.61 MIN: 0.23 / MAX: 7.49 MIN: 0.41 / MAX: 264.31 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 5000M 10000M 15000M 20000M 25000M SE +/- 4399663.13, N = 3 SE +/- 108274834.92, N = 3 14702270573 22244804183 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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 9K 18K 27K 36K 45K SE +/- 18.42, N = 3 SE +/- 14.46, N = 3 43607.04 29668.12 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 70000M 140000M 210000M 280000M 350000M SE +/- 342949201.09, N = 3 SE +/- 376720190.05, N = 3 343095284440 234604082610 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 18.56 26.50 MIN: 15.5 / MAX: 36.36 MIN: 19.6 / MAX: 56.62 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 80 160 240 320 400 SE +/- 0.31, N = 3 SE +/- 0.62, N = 3 259.55 364.64 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
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 12K 24K 36K 48K 60K SE +/- 600.19, N = 15 SE +/- 137.77, N = 3 39647.47 54846.18 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
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 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 8.20 11.32 MIN: 4.92 / MAX: 14.5 MIN: 10.13 / MAX: 30.81 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 800 1600 2400 3200 4000 SE +/- 3.28, N = 3 SE +/- 3.26, N = 3 3650.57 2646.58 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 3 6 9 12 15 SE +/- 0.013, N = 3 SE +/- 0.034, N = 3 10.025 7.368 1. (CXX) g++ options: -O2 -lOpenCL
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 60000M 120000M 180000M 240000M 300000M SE +/- 71241287.97, N = 3 SE +/- 178290221.71, N = 3 293328048497 216025967640 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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 6 12 18 24 30 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 19.78 26.73 1. (CXX) g++ options: -O3 -lm -ldl
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 400 800 1200 1600 2000 SE +/- 3.16, N = 3 SE +/- 1.12, N = 3 2043.05 1512.57 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 35.19 26.28 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 40 80 120 160 200 SE +/- 2.19, N = 12 SE +/- 0.82, N = 3 148.58 196.95 1. (CXX) g++ options: -O3
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 1100 2200 3300 4400 5500 SE +/- 30.67, N = 3 SE +/- 51.21, N = 5 3783.60 4935.68 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
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 1.0193 2.0386 3.0579 4.0772 5.0965 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 4.53 3.52 MIN: 2.72 / MAX: 12.38 MIN: 2.77 / MAX: 18.76 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 30K 60K 90K 120K 150K SE +/- 122.23, N = 3 SE +/- 42.77, N = 3 96257.48 122720.61 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 14 28 42 56 70 SE +/- 0.18, N = 3 SE +/- 0.13, N = 3 64.86 50.97 1. (CXX) g++ options: -O2 -lOpenCL
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 12K 24K 36K 48K 60K SE +/- 45.46, N = 3 SE +/- 332.93, N = 3 54971.26 44049.15 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 20 40 60 80 100 SE +/- 0.52, N = 3 SE +/- 0.78, N = 3 88.63 109.68 1. (CXX) g++ options: -O3
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
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 50K 100K 150K 200K 250K SE +/- 1129.40, N = 3 SE +/- 681.76, N = 3 228640 187169
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 1.19 2.38 3.57 4.76 5.95 SE +/- 0.011, N = 3 SE +/- 0.005, N = 3 4.391 5.289 1. (CXX) g++ options: -O3
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 400K 800K 1200K 1600K 2000K SE +/- 1295.68, N = 3 SE +/- 9191.61, N = 3 1445843.52 1730658.45 1. (CC) gcc options: -O2 -lrt" -lrt
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 40K 80K 120K 160K 200K SE +/- 688.79, N = 3 SE +/- 156.32, N = 3 180537.84 155609.04 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
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 40K 80K 120K 160K 200K SE +/- 126.15, N = 3 SE +/- 394.72, N = 3 187350.44 162957.75 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
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 140 280 420 560 700 SE +/- 0.79, N = 3 SE +/- 0.37, N = 3 645.74 565.34 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 7 14 21 28 35 SE +/- 0.25, N = 3 SE +/- 0.31, N = 12 28.02 24.57 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
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 60 120 180 240 300 SE +/- 0.19, N = 3 SE +/- 3.60, N = 4 255.4 289.2 1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
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 120 240 360 480 600 SE +/- 0.12, N = 3 SE +/- 0.25, N = 3 489.7 554.2 1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
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 2 4 6 8 10 SE +/- 0.099, N = 3 SE +/- 0.031, N = 3 6.889 7.639 1. (CXX) g++ options: -O3 -fPIC -lm
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 10K 20K 30K 40K 50K SE +/- 29.69, N = 3 SE +/- 145.06, N = 3 42701.83 47291.96 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
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 11000M 22000M 33000M 44000M 55000M SE +/- 9562123.40, N = 3 SE +/- 20491615.60, N = 3 46211821313 50884997103 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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 50K 100K 150K 200K 250K SE +/- 519.21, N = 3 SE +/- 347.74, N = 3 226211 247255 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
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
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 9K 18K 27K 36K 45K SE +/- 45.01, N = 3 SE +/- 555.92, N = 3 39919.71 43228.11 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
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 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 15.98 14.76 MIN: 9.37 / MAX: 24.29 MIN: 12.71 / MAX: 35.86 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 20M 40M 60M 80M 100M SE +/- 1450871.09, N = 3 SE +/- 1618403.29, N = 14 105894457 112958788 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl 1. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver
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 50 100 150 200 250 SE +/- 0.22, N = 3 SE +/- 1.77, N = 3 209.00 222.30 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
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 200M 400M 600M 800M 1000M SE +/- 2060519.90, N = 3 SE +/- 1088162.98, N = 3 962889833 920427767 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 1.3211 2.6422 3.9633 5.2844 6.6055 SE +/- 0.04970425, N = 3 SE +/- 0.02210564, N = 3 5.87157885 5.63057327 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
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 40000M 80000M 120000M 160000M 200000M SE +/- 12326205.97, N = 3 SE +/- 47698640.87, N = 3 173980949893 180249145770 1. (CC) gcc options: -pthread -m64 -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 30000M 60000M 90000M 120000M 150000M SE +/- 3664727.47, N = 3 SE +/- 198663058.81, N = 3 123909304773 119647720337 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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 40 80 120 160 200 SE +/- 0.29, N = 3 SE +/- 0.05, N = 3 198.39 191.71
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 40 80 120 160 200 SE +/- 0.07, N = 3 SE +/- 0.27, N = 3 176.77 170.93
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
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 60K 120K 180K 240K 300K SE +/- 346.51, N = 3 SE +/- 388.74, N = 3 271795 278973 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
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
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 0.7313 1.4626 2.1939 2.9252 3.6565 SE +/- 0.007, N = 3 SE +/- 0.013, N = 3 3.250 3.205 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 10 20 30 40 50 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 41.54 41.99 1. (CXX) g++ options: -O3 -fPIC -lm
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: 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: 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: 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: 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
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 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 78.07 78.35 1. (CXX) g++ options: -O3 -fPIC -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 40 80 120 160 200 SE +/- 1.44, N = 8 172.72 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 30 60 90 120 150 SE +/- 1.23, N = 12 140.92 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 0.1121 0.2242 0.3363 0.4484 0.5605 SE +/- 0.006, N = 3 0.498 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 0.0898 0.1796 0.2694 0.3592 0.449 SE +/- 0.004, N = 3 0.399 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
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
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: 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: 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: 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
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 1200 2400 3600 4800 6000 SE +/- 49.93, N = 8 5793 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 1200 2400 3600 4800 6000 SE +/- 49.28, N = 12 5682 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 400K 800K 1200K 1600K 2000K SE +/- 22497.42, N = 3 2008186 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
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 400K 800K 1200K 1600K 2000K SE +/- 20558.90, N = 3 2003784 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
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 70 140 210 280 350 SE +/- 1.20, N = 3 333.35
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 8 16 24 32 40 SE +/- 0.37, N = 5 33.40
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 40 80 120 160 200 SE +/- 0.29, N = 3 SE +/- 7.79, N = 15 83.91 193.45 MIN: 61.61 / MAX: 119.94 MIN: 113.44 / MAX: 315.54 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 30 60 90 120 150 SE +/- 0.48, N = 3 SE +/- 2.74, N = 15 142.90 78.96 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 50 100 150 200 250 SE +/- 0.13, N = 3 SE +/- 9.17, N = 15 83.99 208.47 MIN: 64.11 / MAX: 117.81 MIN: 119.65 / MAX: 316.01 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 30 60 90 120 150 SE +/- 0.23, N = 3 SE +/- 3.12, N = 15 142.75 73.74 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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 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
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 7 14 21 28 35 SE +/- 0.54, N = 12 SE +/- 0.17, N = 3 17.42 27.83 1. (CXX) g++ options: -O3 -lm -ldl
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 1000M 2000M 3000M 4000M 5000M SE +/- 201939132.13, N = 12 SE +/- 481352.26, N = 3 4723940000 2730620000 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
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 900M 1800M 2700M 3600M 4500M SE +/- 57202190.49, N = 12 SE +/- 84802173.02, N = 12 4289858333 3681935833 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
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
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: 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
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
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 20 40 60 80 100 SE +/- 1.78, N = 12 SE +/- 0.91, N = 3 93.60 106.03 1. (CXX) g++ options: -O3
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 13 26 39 52 65 SE +/- 1.29, N = 15 SE +/- 0.66, N = 3 57.31 60.03 1. (CXX) g++ options: -O3
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 2 4 6 8 10 SE +/- 0.104, N = 15 SE +/- 0.009, N = 3 6.448 6.423 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
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 20K 40K 60K 80K 100K SE +/- 293.57, N = 3 SE +/- 1463.52, N = 15 73563.13 94247.77 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 500 1000 1500 2000 2500 SE +/- 36.45, N = 15 SE +/- 142.62, N = 12 2422.40 1752.62 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: 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 4K 8K 12K 16K 20K SE +/- 77.92, N = 3 SE +/- 1215.82, N = 15 19597.86 16649.37 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
Phoronix Test Suite v10.8.4