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&sro&grr .
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 pgbench: 100 - 800 - Read Write - Average Latency apache-iotdb: 800 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 800 - 400 nekrs: Kershaw nekrs: TurboPipe Periodic pgbench: 100 - 1000 - Read Write - Average Latency rodinia: OpenMP HotSpot3D lammps: 20k Atoms openradioss: Chrysler Neon 1M apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 500 - 400 blender: Barbershop - CPU-Only apache-iotdb: 500 - 100 - 800 - 400 apache-iotdb: 500 - 100 - 800 - 400 pgbench: 100 - 800 - Read Write brl-cad: VGR Performance Metric openradioss: Bird Strike on Windshield openradioss: Bumper Beam apache-iotdb: 500 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 500 - 400 tensorflow: CPU - 64 - ResNet-50 openradioss: Rubber O-Ring Seal Installation openradioss: Cell Phone Drop Test pgbench: 100 - 1000 - Read Write build-nodejs: Time To Compile openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU openssl: AES-256-GCM openssl: AES-128-GCM openssl: ChaCha20 openssl: ChaCha20-Poly1305 openssl: SHA512 openssl: SHA256 build-gem5: Time To Compile stockfish: Total Time build-linux-kernel: allmodconfig pgbench: 100 - 800 - Read Only - Average Latency pgbench: 100 - 1000 - Read Only - Average Latency cassandra: Writes tensorflow: CPU - 32 - ResNet-50 blender: Pabellon Barcelona - CPU-Only npb: IS.D laghos: Sedov Blast Wave, ube_922_hex.mesh nginx: 1000 nginx: 500 blender: Classroom - CPU-Only pgbench: 100 - 800 - Read Only avifenc: 0 pgbench: 100 - 1000 - Read Only npb: LU.C tensorflow: CPU - 16 - ResNet-50 incompact3d: input.i3d 193 Cells Per Direction openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openssl: RSA4096 openssl: RSA4096 rodinia: OpenMP LavaMD laghos: Triple Point Problem blender: Fishy Cat - CPU-Only gromacs: MPI CPU - water_GMX50_bare rodinia: OpenMP Leukocyte npb: EP.D avifenc: 2 npb: SP.C blender: BMW27 - CPU-Only npb: FT.C npb: CG.C build-linux-kernel: defconfig amg: npb: BT.C compress-7zip: Decompression Rating compress-7zip: Compression Rating libxsmm: 32 remhos: Sample Remap Example libxsmm: 64 rodinia: OpenMP Streamcluster coremark: CoreMark Size 666 - Iterations Per Second rodinia: OpenMP CFD Solver avifenc: 6, Lossless incompact3d: input.i3d 129 Cells Per Direction npb: MG.C lammps: Rhodopsin Protein avifenc: 6 heffte: c2c - FFTW - double - 128 heffte: r2c - FFTW - double - 128 heffte: r2c - FFTW - float - 128 heffte: c2c - FFTW - float - 128 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 682.12 35359884 4289858333 4723940000 84.166 19.776 337.70 447.68 34332237 623.89 34762565 510819 147.31 92.87 418.59 33268158 69.68 89.65 38.82 198.394 83.99 142.75 83.91 142.90 293328048497 343095284440 173980949893 123909304773 14702270573 46211821313 176.767 105894457 228640 62.74 2422.40 259.55 180537.84 187350.44 78.068 73563.13 50.99 28.0196877 648.81 18.39 340.29 35.19 64.70 185.29 6.79 1764.21 18.56 645.74 20.77 576.94 39.38 761.14 31.08 964.46 4.53 6605.12 5.86 2043.05 0.4 54971.26 8.62 1389.69 0.52 43607.04 2.87 4166.39 8.20 3650.57 15.98 1875.28 493077.6 20079.5 64.862 209.00 4.391 45.498 3783.60 41.538 39919.71 39647.47 19597.86 962889833 96257.48 226211 271795 255.4 33.362 489.7 6.448 1445843.521552 10.025 6.889 5.87157885 42701.83 17.423 3.250 57.3116 93.6005 148.575 88.6301 140.916 709.46 35068557 3681935833 2730620000 172.717 88.535 26.734 327.88 433.96 34123810 351.58 633.58 34925899 5682 629363 123.61 75.68 415.08 33466804 20.90 72.06 30.12 5793 191.706 208.47 73.74 193.45 78.96 216025967640 234604082610 180249145770 119647720337 22244804183 50884997103 170.930 112958788 333.351 0.399 0.498 187169 20.36 112.64 1752.62 364.64 155609.04 162957.75 89.35 2003784 78.350 2008186 94247.77 18.29 24.5721181 1393.56 10.73 568.77 26.28 155.14 96.58 23.64 633.76 26.50 565.34 66.46 225.48 76.72 390.72 81.00 370.03 3.52 4239.52 9.90 1512.57 0.61 44049.15 40.67 368.39 0.99 29668.12 11.65 1285.47 11.32 2646.58 14.76 1014.70 860844.6 12973.0 50.974 222.30 45.22 5.289 42.010 4935.68 41.989 43228.11 34.27 54846.18 16649.37 33.399 920427767 122720.61 247255 278973 289.2 16.326 554.2 6.423 1730658.449440 7.368 7.639 5.63057327 47291.96 27.828 3.205 60.0343 106.029 196.948 109.676 OpenBenchmarking.org
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
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: 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
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
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
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
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
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
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
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: 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
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
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: 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
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
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
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: 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
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: 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
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
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: 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 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
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
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
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
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
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: 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 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
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: 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: 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
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: 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
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
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
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: 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: 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: 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: 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
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
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: 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: 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
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
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: 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: 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: 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
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: 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: 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
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
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
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
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
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
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
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
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: 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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: 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
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
Phoronix Test Suite v10.8.4