7713 2P Tests for a future article. 2 x AMD EPYC 7303 16-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2310231-NE-77132P99738&sor&grs .
7713 2P Processor Motherboard Chipset Memory Disk Graphics Monitor Network OS Kernel Desktop Display Server Vulkan Compiler File-System Screen Resolution a b c AMD EPYC 7303 16-Core d e f g 2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads) AMD DAYTONA_X (RYM1009B BIOS) AMD Starship/Matisse 256GB 3841GB Micron_9300_MTFDHAL3T8TDP ASPEED VE228 2 x Mellanox MT27710 Ubuntu 22.04 5.15.0-47-generic (x86_64) GNOME Shell 42.4 X Server 1.21.1.3 1.2.204 GCC 11.2.0 ext4 1920x1080 AMD EPYC 7303 16-Core @ 2.40GHz (16 Cores / 32 Threads) 2 x AMD EPYC 7203 8-Core @ 2.80GHz (16 Cores / 32 Threads) 512GB 1024x768 2 x AMD EPYC 7303 16-Core @ 2.40GHz (32 Cores / 64 Threads) 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-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/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 - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173 Python Details - Python 3.10.6 Security Details - 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 and seccomp + 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 + srbds: Not affected + tsx_async_abort: Not affected
7713 2P openvino: Face Detection Retail FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU blender: Barbershop - CPU-Only compress-7zip: Decompression Rating openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU blender: Pabellon Barcelona - CPU-Only blender: Classroom - CPU-Only blender: BMW27 - CPU-Only openvino: Handwritten English Recognition FP16-INT8 - CPU blender: Fishy Cat - CPU-Only openvino: Person Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU build-linux-kernel: allmodconfig compress-7zip: Compression Rating openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU remhos: Sample Remap Example openradioss: INIVOL and Fluid Structure Interaction Drop Container openradioss: Chrysler Neon 1M build-linux-kernel: defconfig openradioss: Cell Phone Drop Test libxsmm: 64 laghos: Sedov Blast Wave, ube_922_hex.mesh openvino: Face Detection FP16-INT8 - CPU libxsmm: 32 openvino: Vehicle Detection FP16-INT8 - CPU openvkl: vklBenchmarkCPU Scalar embree: Pathtracer ISPC - Asian Dragon embree: Pathtracer ISPC - Asian Dragon Obj embree: Pathtracer - Asian Dragon embree: Pathtracer - Crown embree: Pathtracer - Asian Dragon Obj openvkl: vklBenchmarkCPU ISPC embree: Pathtracer ISPC - Crown openvino: Machine Translation EN To DE FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU avifenc: 6 openvino: Person Detection FP16 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU oidn: RTLightmap.hdr.4096x4096 - CPU-Only oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Only openvino: Person Vehicle Bike Detection FP16 - CPU avifenc: 0 onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU openradioss: Bird Strike on Windshield laghos: Triple Point Problem onednn: IP Shapes 1D - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU avifenc: 2 openvino: Handwritten English Recognition FP16-INT8 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU avifenc: 6, Lossless onednn: IP Shapes 3D - u8s8f32 - CPU onednn: IP Shapes 1D - f32 - CPU openradioss: Rubber O-Ring Seal Installation openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openradioss: Bumper Beam onednn: Recurrent Neural Network Inference - u8s8f32 - CPU easywave: e2Asean Grid + BengkuluSept2007 Source - 240 easywave: e2Asean Grid + BengkuluSept2007 Source - 1200 onednn: IP Shapes 3D - f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Recurrent Neural Network Training - f32 - CPU easywave: e2Asean Grid + BengkuluSept2007 Source - 2400 onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU avifenc: 10, Lossless onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPU a b c AMD EPYC 7303 16-Core d e f g 9543.23 2687.19 3308.28 1342.68 153.78 643823 5333.24 51.12 49.66 40.28 16.08 899.15 20.44 202.68 226.15 182.491 507611 98494.41 11.284 132.37 174.49 23.875 26.54 980.5 282.55 623.9 540.3 9.66 141.33 3.34 3.248 157.75 23.81 11.89 75.603 147.64 164.19 41.424 142.22 6.786 130.4 0.85 23.98 115.89 5.474 9544.95 2655.09 3302.83 1340.29 152.94 647995 5334.87 51.17 49.32 40.21 16.08 897.77 20.73 203.14 226.27 179.986 505036 101883.13 11.02 129.61 173.59 23.974 26.35 923.9 282.08 623.64 471 9.68 141.24 3.34 3.331 157.4 23.85 12.03 75.778 146.17 162.65 40.837 142.42 6.881 134.61 0.85 23.98 116.73 5.485 9527.76 2694.27 3303.59 1340.12 152.5 678765 5335.15 51.2 48.96 40.04 16.19 898.69 20.45 203.96 222.73 179.539 499347 101985.21 11.709 132.8 174.45 23.939 26.53 920.8 279.20 623.6 467.3 9.67 143.55 3.35 3.309 156.74 23.86 11.86 75.836 146.31 167.28 42.41 142.29 6.929 131.25 0.86 23.97 116.3 5.535 1754.67 520.89 570.58 237.79 871.17 116102 858.21 8.66 280.03 226.06 89.45 155.5 109.21 42.11 47.46 815.395 135892 23110.2 37.307 357.27 551.24 67.408 65.55 406.9 148.49 921.14 273.2 14 168.3 4.55 5.282 189.92 33.62 15.34 120.85 202.93 132.65 60.19 102.82 9.186 102.8 0.68 18.63 118.33 5.779 1232.95 369.7 470.46 195.5 974.94 106826 856.63 8.35 296.74 237.87 94.86 171.61 116.66 37.06 43.18 830.492 113384 23725.57 39.71 429.22 489.75 68.675 63.71 442.5 132.46 478.92 356.5 8.49 144 15.8702 13.8445 17.4784 16.1253 15.7439 267 14.3991 92.53 3.24 5.771 107.81 20.44 0.28 0.56 0.56 10.8 125.918 1.92811 235.98 114.18 1.6509 2.67723 64.146 93.16 4.63185 10.133 0.768449 2.34565 129.36 0.66 1451.2 1466.25 18.65 134.32 1445.86 3.291 65.733 4.51333 3037.72 3019.31 149.203 3028.36 6.186 4.27338 5.54136 1.94173 3153.9 873.34 1096.25 415.32 505.43 214511 1727.34 17.2 155.52 116.68 50.21 303.8 62.52 72.71 85.51 462.138 210620 46823.73 23.463 302.03 304.03 43.41 41.05 727.2 234.135345612 463.57 484.7 7.29 273 29.9805 26.0698 32.9696 30.1028 29.6195 495 26.5233 93.45 2.53 3.965 109.89 19.25 0.48 0.95 0.95 9.13 92.447 1.16856 192.24 182.23 1.44749 1.74244 48.724 105.22 3.14371 7.801 1.05324 1.89405 118.07 0.67 1114.67 1137.11 18.46 105.44 1161.8 2.831 55.336 3.84916 3379.25 3494.51 140.297 3216.13 5.855 4.10412 5.67018 1.93352 3148.82 865.28 1095.27 415.12 504.18 216258 1708.45 17.27 157.08 117.05 50.25 303.83 62.18 73.23 85.46 462.599 212139 45126.45 23.488 305.55 306.37 43.477 41.01 737.3 233.54 462.78 482.9 7.29 275 30.1314 26.2737 33.0392 30.3378 29.5206 497 26.6112 93.5 2.53 3.976 109.16 19.25 0.48 0.95 0.95 9.21 91.913 1.16545 192.62 181.55 1.92348 1.69817 48.844 105.23 3.06111 7.824 1.14379 1.77064 120.33 0.7 1139.54 1128.3 18.67 105.68 1153.45 2.672 60.049 4.18974 3281.24 3341.93 130.447 3462.9 5.817 3.83995 5.66435 1.9522 3148.97 875.64 1095.68 415.15 506.55 218417 1725.37 17.28 157.59 118.34 50.09 303.59 62.31 72.14 84.86 462.696 209887 47926.34 23.723 307.24 303.58 43.318 40.85 723.4 233.047063651 462.57 470.9 7.29 274 30.0261 26.1574 32.9662 30.2552 29.5908 495 26.3986 94.17 2.53 3.962 110.71 19.25 0.48 0.95 0.95 9.11 92.528 1.17023 192.49 180.93 2.28469 1.84652 48.731 105.33 3.14105 7.825 1.08661 2.1207 122.81 0.66 1129.54 1149.15 18.48 107.04 1145.62 2.766 56.337 3.94733 3556.44 3451.09 133.177 3272.36 5.815 4.05768 5.63319 1.95024 OpenBenchmarking.org
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 b a c e g f AMD EPYC 7303 16-Core d 2K 4K 6K 8K 10K 9544.95 9543.23 9527.76 3153.90 3148.97 3148.82 1754.67 1232.95 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
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 c a b g e f AMD EPYC 7303 16-Core d 600 1200 1800 2400 3000 2694.27 2687.19 2655.09 875.64 873.34 865.28 520.89 369.70 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -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 a c b e g f AMD EPYC 7303 16-Core d 700 1400 2100 2800 3500 3308.28 3303.59 3302.83 1096.25 1095.68 1095.27 570.58 470.46 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
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 a b c e g f AMD EPYC 7303 16-Core d 300 600 900 1200 1500 1342.68 1340.29 1340.12 415.32 415.15 415.12 237.79 195.50 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Barbershop - Compute: CPU-Only c b a f e g AMD EPYC 7303 16-Core d 200 400 600 800 1000 152.50 152.94 153.78 504.18 505.43 506.55 871.17 974.94
7-Zip Compression Test: Decompression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating c b a g f e AMD EPYC 7303 16-Core d 150K 300K 450K 600K 750K 678765 647995 643823 218417 216258 214511 116102 106826 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
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 c b a e g f AMD EPYC 7303 16-Core d 1100 2200 3300 4400 5500 5335.15 5334.87 5333.24 1727.34 1725.37 1708.45 858.21 856.63 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU c b a g f e AMD EPYC 7303 16-Core d 12 24 36 48 60 51.20 51.17 51.12 17.28 17.27 17.20 8.66 8.35 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only c b a e f g AMD EPYC 7303 16-Core d 60 120 180 240 300 48.96 49.32 49.66 155.52 157.08 157.59 280.03 296.74
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Classroom - Compute: CPU-Only c b a e f g AMD EPYC 7303 16-Core d 50 100 150 200 250 40.04 40.21 40.28 116.68 117.05 118.34 226.06 237.87
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: BMW27 - Compute: CPU-Only a b c g e f AMD EPYC 7303 16-Core d 20 40 60 80 100 16.08 16.08 16.19 50.09 50.21 50.25 89.45 94.86
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 a c b f e g d AMD EPYC 7303 16-Core 200 400 600 800 1000 899.15 898.69 897.77 303.83 303.80 303.59 171.61 155.50 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only a c b f g e AMD EPYC 7303 16-Core d 30 60 90 120 150 20.44 20.45 20.73 62.18 62.31 62.52 109.21 116.66
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU c b a f e g AMD EPYC 7303 16-Core d 40 80 120 160 200 203.96 203.14 202.68 73.23 72.71 72.14 42.11 37.06 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
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 b a c e f g AMD EPYC 7303 16-Core d 50 100 150 200 250 226.27 226.15 222.73 85.51 85.46 84.86 47.46 43.18 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
Timed Linux Kernel Compilation Build: allmodconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: allmodconfig c b a e f g AMD EPYC 7303 16-Core d 200 400 600 800 1000 179.54 179.99 182.49 462.14 462.60 462.70 815.40 830.49
7-Zip Compression Test: Compression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating a b c f e g AMD EPYC 7303 16-Core d 110K 220K 330K 440K 550K 507611 505036 499347 212139 210620 209887 135892 113384 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
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 c b a g e f d AMD EPYC 7303 16-Core 20K 40K 60K 80K 100K 101985.21 101883.13 98494.41 47926.34 46823.73 45126.45 23725.57 23110.20 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
Remhos Test: Sample Remap Example OpenBenchmarking.org Seconds, Fewer Is Better Remhos 1.0 Test: Sample Remap Example b a c e f g AMD EPYC 7303 16-Core d 9 18 27 36 45 11.02 11.28 11.71 23.46 23.49 23.72 37.31 39.71 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
OpenRadioss Model: INIVOL and Fluid Structure Interaction Drop Container OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: INIVOL and Fluid Structure Interaction Drop Container b a c e f g AMD EPYC 7303 16-Core d 90 180 270 360 450 129.61 132.37 132.80 302.03 305.55 307.24 357.27 429.22
OpenRadioss Model: Chrysler Neon 1M OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Chrysler Neon 1M b c a g e f d AMD EPYC 7303 16-Core 120 240 360 480 600 173.59 174.45 174.49 303.58 304.03 306.37 489.75 551.24
Timed Linux Kernel Compilation Build: defconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: defconfig a c b g e f AMD EPYC 7303 16-Core d 15 30 45 60 75 23.88 23.94 23.97 43.32 43.41 43.48 67.41 68.68
OpenRadioss Model: Cell Phone Drop Test OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Cell Phone Drop Test b c a g f e d AMD EPYC 7303 16-Core 15 30 45 60 75 26.35 26.53 26.54 40.85 41.01 41.05 63.71 65.55
libxsmm M N K: 64 OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 64 a b c f e g d AMD EPYC 7303 16-Core 200 400 600 800 1000 980.5 923.9 920.8 737.3 727.2 723.4 442.5 406.9 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
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 a b c e f g AMD EPYC 7303 16-Core d 60 120 180 240 300 282.55 282.08 279.20 234.14 233.54 233.05 148.49 132.46 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU g f e d c b a AMD EPYC 7303 16-Core 200 400 600 800 1000 462.57 462.78 463.57 478.92 623.60 623.64 623.90 921.14 MIN: 455.99 / MAX: 481.91 MIN: 456.11 / MAX: 479.6 MIN: 456.35 / MAX: 480.41 MIN: 474.19 / MAX: 500.74 MIN: 599.33 / MAX: 668.6 MIN: 593.36 / MAX: 672.04 MIN: 594.87 / MAX: 669.12 MIN: 883.65 / MAX: 932.87 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
libxsmm M N K: 32 OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 32 a e f b g c d AMD EPYC 7303 16-Core 120 240 360 480 600 540.3 484.7 482.9 471.0 470.9 467.3 356.5 273.2 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
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU e f g d a c b AMD EPYC 7303 16-Core 4 8 12 16 20 7.29 7.29 7.29 8.49 9.66 9.67 9.68 14.00 MIN: 7.14 / MAX: 16.48 MIN: 7.14 / MAX: 16.05 MIN: 7.15 / MAX: 16.28 MIN: 7.96 / MAX: 14.96 MIN: 7.98 / MAX: 45.57 MIN: 7.95 / MAX: 41.68 MIN: 7.94 / MAX: 44.33 MIN: 7.54 / MAX: 24.09 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVKL Benchmark: vklBenchmarkCPU Scalar OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU Scalar f g e d 60 120 180 240 300 275 274 273 144 MIN: 21 / MAX: 5065 MIN: 21 / MAX: 5053 MIN: 21 / MAX: 5037 MIN: 11 / MAX: 2667
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon f g e d 7 14 21 28 35 30.13 30.03 29.98 15.87 MIN: 29.94 / MAX: 30.64 MIN: 29.84 / MAX: 30.34 MIN: 29.79 / MAX: 30.37 MIN: 15.72 / MAX: 16.2
Embree Binary: Pathtracer ISPC - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Obj f g e d 6 12 18 24 30 26.27 26.16 26.07 13.84 MIN: 26.05 / MAX: 26.62 MIN: 25.98 / MAX: 26.75 MIN: 25.87 / MAX: 26.79 MIN: 13.7 / MAX: 14.06
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Asian Dragon f e g d 8 16 24 32 40 33.04 32.97 32.97 17.48 MIN: 32.83 / MAX: 33.53 MIN: 32.77 / MAX: 33.49 MIN: 32.78 / MAX: 33.29 MIN: 17.31 / MAX: 17.65
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Crown f g e d 7 14 21 28 35 30.34 30.26 30.10 16.13 MIN: 30.01 / MAX: 30.87 MIN: 29.92 / MAX: 30.97 MIN: 29.78 / MAX: 30.77 MIN: 15.95 / MAX: 16.45
Embree Binary: Pathtracer - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Obj e g f d 7 14 21 28 35 29.62 29.59 29.52 15.74 MIN: 29.37 / MAX: 30.21 MIN: 29.36 / MAX: 30.31 MIN: 29.27 / MAX: 30.16 MIN: 15.64 / MAX: 15.92
OpenVKL Benchmark: vklBenchmarkCPU ISPC OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU ISPC f g e d 110 220 330 440 550 497 495 495 267 MIN: 43 / MAX: 6162 MIN: 43 / MAX: 6166 MIN: 44 / MAX: 6142 MIN: 23 / MAX: 3404
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Crown f e g d 6 12 18 24 30 26.61 26.52 26.40 14.40 MIN: 26.29 / MAX: 27.11 MIN: 26.18 / MAX: 27.13 MIN: 26.05 / MAX: 27.08 MIN: 14.25 / MAX: 14.69
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 d e f g b a c AMD EPYC 7303 16-Core 40 80 120 160 200 92.53 93.45 93.50 94.17 141.24 141.33 143.55 168.30 MIN: 87.83 / MAX: 184.88 MIN: 77.59 / MAX: 139.64 MIN: 82.68 / MAX: 155.42 MIN: 85.17 / MAX: 160.36 MIN: 114.93 / MAX: 488.84 MIN: 113.19 / MAX: 547.49 MIN: 114.18 / MAX: 525.63 MIN: 141.17 / MAX: 184.72 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
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 e f g d a b c AMD EPYC 7303 16-Core 1.0238 2.0476 3.0714 4.0952 5.119 2.53 2.53 2.53 3.24 3.34 3.34 3.35 4.55 MIN: 2.48 / MAX: 9.57 MIN: 2.48 / MAX: 10.15 MIN: 2.47 / MAX: 10.12 MIN: 2.94 / MAX: 8.15 MIN: 2.82 / MAX: 23.64 MIN: 2.79 / MAX: 25.65 MIN: 2.81 / MAX: 23.74 MIN: 2.67 / MAX: 16.04 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
libavif avifenc Encoder Speed: 6 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 6 a c b g e f AMD EPYC 7303 16-Core d 1.2985 2.597 3.8955 5.194 6.4925 3.248 3.309 3.331 3.962 3.965 3.976 5.282 5.771 1. (CXX) g++ options: -O3 -fPIC -lm
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU d f e g c b a AMD EPYC 7303 16-Core 40 80 120 160 200 107.81 109.16 109.89 110.71 156.74 157.40 157.75 189.92 MIN: 102.18 / MAX: 124.72 MIN: 99.46 / MAX: 143.57 MIN: 93.05 / MAX: 140.85 MIN: 98.56 / MAX: 144.8 MIN: 131.77 / MAX: 297.92 MIN: 128.42 / MAX: 281.86 MIN: 108.19 / MAX: 274.81 MIN: 169.75 / MAX: 200.94 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -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 e f g d a b c AMD EPYC 7303 16-Core 8 16 24 32 40 19.25 19.25 19.25 20.44 23.81 23.85 23.86 33.62 MIN: 17.55 / MAX: 32.52 MIN: 17.46 / MAX: 28.16 MIN: 17.49 / MAX: 27.05 MIN: 18.84 / MAX: 37.99 MIN: 20.24 / MAX: 65.85 MIN: 20.69 / MAX: 64.82 MIN: 20.96 / MAX: 60.47 MIN: 25.37 / MAX: 42.95 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
Intel Open Image Denoise Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.1 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only g f e d 0.108 0.216 0.324 0.432 0.54 0.48 0.48 0.48 0.28
Intel Open Image Denoise Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only g f e d 0.2138 0.4276 0.6414 0.8552 1.069 0.95 0.95 0.95 0.56
Intel Open Image Denoise Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.1 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only g f e d 0.2138 0.4276 0.6414 0.8552 1.069 0.95 0.95 0.95 0.56
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 g e f d c a b AMD EPYC 7303 16-Core 4 8 12 16 20 9.11 9.13 9.21 10.80 11.86 11.89 12.03 15.34 MIN: 8.35 / MAX: 22.58 MIN: 8.44 / MAX: 24.1 MIN: 8.24 / MAX: 23.34 MIN: 9.8 / MAX: 19.62 MIN: 9.49 / MAX: 57.72 MIN: 10.03 / MAX: 55.71 MIN: 10.4 / MAX: 55.41 MIN: 9.22 / MAX: 27.56 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
libavif avifenc Encoder Speed: 0 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 0 a b c f e g AMD EPYC 7303 16-Core d 30 60 90 120 150 75.60 75.78 75.84 91.91 92.45 92.53 120.85 125.92 1. (CXX) g++ options: -O3 -fPIC -lm
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU f e g d 0.4338 0.8676 1.3014 1.7352 2.169 1.16545 1.16856 1.17023 1.92811 MIN: 1.11 MIN: 1.1 MIN: 1.1 MIN: 1.74 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenRadioss Model: Bird Strike on Windshield OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Bird Strike on Windshield b c a e g f AMD EPYC 7303 16-Core d 50 100 150 200 250 146.17 146.31 147.64 192.24 192.49 192.62 202.93 235.98
Laghos Test: Triple Point Problem OpenBenchmarking.org Major Kernels Total Rate, More Is Better Laghos 3.1 Test: Triple Point Problem e f g c a b AMD EPYC 7303 16-Core d 40 80 120 160 200 182.23 181.55 180.93 167.28 164.19 162.65 132.65 114.18 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
oneDNN Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU e d f g 0.5141 1.0282 1.5423 2.0564 2.5705 1.44749 1.65090 1.92348 2.28469 MIN: 1.01 MIN: 1.3 MIN: 1.39 MIN: 1.48 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU f e g d 0.6024 1.2048 1.8072 2.4096 3.012 1.69817 1.74244 1.84652 2.67723 MIN: 1.41 MIN: 1.45 MIN: 1.33 MIN: 2.34 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
libavif avifenc Encoder Speed: 2 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 2 b a c e g f AMD EPYC 7303 16-Core d 14 28 42 56 70 40.84 41.42 42.41 48.72 48.73 48.84 60.19 64.15 1. (CXX) g++ options: -O3 -fPIC -lm
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 d AMD EPYC 7303 16-Core e f g a c b 30 60 90 120 150 93.16 102.82 105.22 105.23 105.33 142.22 142.29 142.42 MIN: 86.16 / MAX: 102.67 MIN: 69.31 / MAX: 117.98 MIN: 91.67 / MAX: 111.86 MIN: 92.98 / MAX: 112.15 MIN: 94.87 / MAX: 111.06 MIN: 111.28 / MAX: 182.41 MIN: 110.33 / MAX: 173.87 MIN: 106.02 / MAX: 184.44 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU f g e d 1.0422 2.0844 3.1266 4.1688 5.211 3.06111 3.14105 3.14371 4.63185 MIN: 2.86 MIN: 2.86 MIN: 2.85 MIN: 4.26 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
libavif avifenc Encoder Speed: 6, Lossless OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 6, Lossless a b c e f g AMD EPYC 7303 16-Core d 3 6 9 12 15 6.786 6.881 6.929 7.801 7.824 7.825 9.186 10.133 1. (CXX) g++ options: -O3 -fPIC -lm
oneDNN Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU d e g f 0.2574 0.5148 0.7722 1.0296 1.287 0.768449 1.053240 1.086610 1.143790 MIN: 0.6 MIN: 0.81 MIN: 0.86 MIN: 0.83 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU f e g d 0.5278 1.0556 1.5834 2.1112 2.639 1.77064 1.89405 2.12070 2.34565 MIN: 1.42 MIN: 1.51 MIN: 1.65 MIN: 2.11 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenRadioss Model: Rubber O-Ring Seal Installation OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation AMD EPYC 7303 16-Core e f g d a c b 30 60 90 120 150 102.80 118.07 120.33 122.81 129.36 130.40 131.25 134.61
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 d g e AMD EPYC 7303 16-Core f a b c 0.1935 0.387 0.5805 0.774 0.9675 0.66 0.66 0.67 0.68 0.70 0.85 0.85 0.86 MIN: 0.61 / MAX: 6.63 MIN: 0.61 / MAX: 10.25 MIN: 0.61 / MAX: 10.58 MIN: 0.4 / MAX: 11.17 MIN: 0.61 / MAX: 10.2 MIN: 0.72 / MAX: 27.72 MIN: 0.72 / MAX: 21.71 MIN: 0.71 / MAX: 40.39 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU e g f d 300 600 900 1200 1500 1114.67 1129.54 1139.54 1451.20 MIN: 1074.44 MIN: 1079.67 MIN: 1087.78 MIN: 1412.26 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU f e g d 300 600 900 1200 1500 1128.30 1137.11 1149.15 1466.25 MIN: 1073.3 MIN: 1093.13 MIN: 1097.47 MIN: 1422.8 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
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 e g AMD EPYC 7303 16-Core d f c a b 6 12 18 24 30 18.46 18.48 18.63 18.65 18.67 23.97 23.98 23.98 MIN: 17.85 / MAX: 32.35 MIN: 17.82 / MAX: 33.34 MIN: 8.99 / MAX: 30.48 MIN: 17.81 / MAX: 33.21 MIN: 17.84 / MAX: 33.76 MIN: 21.4 / MAX: 33.21 MIN: 21.19 / MAX: 37.06 MIN: 21.31 / MAX: 35.8 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenRadioss Model: Bumper Beam OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Bumper Beam e f g a c b AMD EPYC 7303 16-Core d 30 60 90 120 150 105.44 105.68 107.04 115.89 116.30 116.73 118.33 134.32
oneDNN Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU g f e d 300 600 900 1200 1500 1145.62 1153.45 1161.80 1445.86 MIN: 1102.84 MIN: 1089.33 MIN: 1098.59 MIN: 1399.09 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
easyWave Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 f g e d 0.7405 1.481 2.2215 2.962 3.7025 2.672 2.766 2.831 3.291 1. (CXX) g++ options: -O3 -fopenmp
easyWave Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 e g f d 15 30 45 60 75 55.34 56.34 60.05 65.73 1. (CXX) g++ options: -O3 -fopenmp
oneDNN Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU e g f d 1.0155 2.031 3.0465 4.062 5.0775 3.84916 3.94733 4.18974 4.51333 MIN: 3.54 MIN: 3.55 MIN: 3.58 MIN: 2.92 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU d f e g 800 1600 2400 3200 4000 3037.72 3281.24 3379.25 3556.44 MIN: 2984.39 MIN: 3185.12 MIN: 3265.73 MIN: 3506.87 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU d f g e 700 1400 2100 2800 3500 3019.31 3341.93 3451.09 3494.51 MIN: 2971.6 MIN: 3231.53 MIN: 3397.7 MIN: 3430.83 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
easyWave Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 f g e d 30 60 90 120 150 130.45 133.18 140.30 149.20 1. (CXX) g++ options: -O3 -fopenmp
oneDNN Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU d e g f 700 1400 2100 2800 3500 3028.36 3216.13 3272.36 3462.90 MIN: 2984.7 MIN: 3111.44 MIN: 3161.82 MIN: 3392.2 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
libavif avifenc Encoder Speed: 10, Lossless OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 10, Lossless a b c AMD EPYC 7303 16-Core g f e d 2 4 6 8 10 5.474 5.485 5.535 5.779 5.815 5.817 5.855 6.186 1. (CXX) g++ options: -O3 -fPIC -lm
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU f g e d 0.9615 1.923 2.8845 3.846 4.8075 3.83995 4.05768 4.10412 4.27338 MIN: 3.1 MIN: 2.86 MIN: 3.26 MIN: 3.64 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU d g f e 1.2758 2.5516 3.8274 5.1032 6.379 5.54136 5.63319 5.66435 5.67018 MIN: 4.33 MIN: 4.7 MIN: 4.73 MIN: 4.65 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU e d g f 0.4392 0.8784 1.3176 1.7568 2.196 1.93352 1.94173 1.95024 1.95220 MIN: 1.72 MIN: 1.77 MIN: 1.78 MIN: 1.79 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
Phoronix Test Suite v10.8.4