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&grr .
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 openvkl: vklBenchmarkCPU Scalar openvkl: vklBenchmarkCPU ISPC blender: Barbershop - CPU-Only build-linux-kernel: allmodconfig openradioss: Chrysler Neon 1M openradioss: INIVOL and Fluid Structure Interaction Drop Container openradioss: Bird Strike on Windshield blender: Pabellon Barcelona - CPU-Only laghos: Sedov Blast Wave, ube_922_hex.mesh easywave: e2Asean Grid + BengkuluSept2007 Source - 2400 openradioss: Rubber O-Ring Seal Installation blender: Classroom - CPU-Only openradioss: Bumper Beam avifenc: 0 onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU oidn: RTLightmap.hdr.4096x4096 - CPU-Only laghos: Triple Point Problem openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - 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: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU easywave: e2Asean Grid + BengkuluSept2007 Source - 1200 openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU blender: Fishy Cat - CPU-Only avifenc: 2 openradioss: Cell Phone Drop Test blender: BMW27 - CPU-Only embree: Pathtracer ISPC - Asian Dragon Obj build-linux-kernel: defconfig embree: Pathtracer - Asian Dragon Obj compress-7zip: Decompression Rating compress-7zip: Compression Rating oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Only oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only embree: Pathtracer ISPC - Crown embree: Pathtracer ISPC - Asian Dragon embree: Pathtracer - Crown embree: Pathtracer - Asian Dragon remhos: Sample Remap Example onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU libxsmm: 64 onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU libxsmm: 32 onednn: IP Shapes 3D - f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU avifenc: 6, Lossless onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU avifenc: 10, Lossless easywave: e2Asean Grid + BengkuluSept2007 Source - 240 avifenc: 6 onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU a b c AMD EPYC 7303 16-Core d e f g 153.78 182.491 174.49 132.37 147.64 49.66 282.55 130.4 40.28 115.89 75.603 164.19 623.9 51.12 157.75 202.68 141.33 226.15 11.89 2687.19 23.81 1342.68 142.22 899.15 0.85 98494.41 9.66 3308.28 23.98 5333.24 3.34 9543.23 20.44 41.424 26.54 16.08 23.875 643823 507611 11.284 980.5 540.3 6.786 5.474 3.248 152.94 179.986 173.59 129.61 146.17 49.32 282.08 134.61 40.21 116.73 75.778 162.65 623.64 51.17 157.4 203.14 141.24 226.27 12.03 2655.09 23.85 1340.29 142.42 897.77 0.85 101883.13 9.68 3302.83 23.98 5334.87 3.34 9544.95 20.73 40.837 26.35 16.08 23.974 647995 505036 11.02 923.9 471 6.881 5.485 3.331 152.5 179.539 174.45 132.8 146.31 48.96 279.20 131.25 40.04 116.3 75.836 167.28 623.6 51.2 156.74 203.96 143.55 222.73 11.86 2694.27 23.86 1340.12 142.29 898.69 0.86 101985.21 9.67 3303.59 23.97 5335.15 3.35 9527.76 20.45 42.41 26.53 16.19 23.939 678765 499347 11.709 920.8 467.3 6.929 5.535 3.309 871.17 815.395 551.24 357.27 202.93 280.03 148.49 102.8 226.06 118.33 120.85 132.65 921.14 8.66 189.92 42.11 168.3 47.46 15.34 520.89 33.62 237.79 102.82 155.5 0.68 23110.2 14 570.58 18.63 858.21 4.55 1754.67 109.21 60.19 65.55 89.45 67.408 116102 135892 37.307 406.9 273.2 9.186 5.779 5.282 144 267 974.94 830.492 489.75 429.22 235.98 296.74 132.46 149.203 129.36 237.87 134.32 125.918 3037.72 3019.31 3028.36 1466.25 1445.86 1451.2 0.28 114.18 478.92 8.35 107.81 37.06 92.53 43.18 10.8 369.7 20.44 195.5 93.16 171.61 65.733 0.66 23725.57 8.49 470.46 18.65 856.63 3.24 1232.95 116.66 64.146 63.71 94.86 13.8445 68.675 15.7439 106826 113384 0.56 0.56 14.3991 15.8702 16.1253 17.4784 39.71 5.54136 1.94173 442.5 2.34565 1.6509 356.5 4.51333 0.768449 10.133 4.27338 2.67723 6.186 3.291 5.771 4.63185 1.92811 273 495 505.43 462.138 304.03 302.03 192.24 155.52 234.135345612 140.297 118.07 116.68 105.44 92.447 3379.25 3494.51 3216.13 1137.11 1161.8 1114.67 0.48 182.23 463.57 17.2 109.89 72.71 93.45 85.51 9.13 873.34 19.25 415.32 105.22 303.8 55.336 0.67 46823.73 7.29 1096.25 18.46 1727.34 2.53 3153.9 62.52 48.724 41.05 50.21 26.0698 43.41 29.6195 214511 210620 0.95 0.95 26.5233 29.9805 30.1028 32.9696 23.463 5.67018 1.93352 727.2 1.89405 1.44749 484.7 3.84916 1.05324 7.801 4.10412 1.74244 5.855 2.831 3.965 3.14371 1.16856 275 497 504.18 462.599 306.37 305.55 192.62 157.08 233.54 130.447 120.33 117.05 105.68 91.913 3281.24 3341.93 3462.9 1128.3 1153.45 1139.54 0.48 181.55 462.78 17.27 109.16 73.23 93.5 85.46 9.21 865.28 19.25 415.12 105.23 303.83 60.049 0.7 45126.45 7.29 1095.27 18.67 1708.45 2.53 3148.82 62.18 48.844 41.01 50.25 26.2737 43.477 29.5206 216258 212139 0.95 0.95 26.6112 30.1314 30.3378 33.0392 23.488 5.66435 1.9522 737.3 1.77064 1.92348 482.9 4.18974 1.14379 7.824 3.83995 1.69817 5.817 2.672 3.976 3.06111 1.16545 274 495 506.55 462.696 303.58 307.24 192.49 157.59 233.047063651 133.177 122.81 118.34 107.04 92.528 3556.44 3451.09 3272.36 1149.15 1145.62 1129.54 0.48 180.93 462.57 17.28 110.71 72.14 94.17 84.86 9.11 875.64 19.25 415.15 105.33 303.59 56.337 0.66 47926.34 7.29 1095.68 18.48 1725.37 2.53 3148.97 62.31 48.731 40.85 50.09 26.1574 43.318 29.5908 218417 209887 0.95 0.95 26.3986 30.0261 30.2552 32.9662 23.723 5.63319 1.95024 723.4 2.1207 2.28469 470.9 3.94733 1.08661 7.825 4.05768 1.84652 5.815 2.766 3.962 3.14105 1.17023 OpenBenchmarking.org
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
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
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
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
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
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: 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
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
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
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
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
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
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
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: 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
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
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
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
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
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
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
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
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
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: 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 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: 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
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
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: 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
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
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
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
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
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
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
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
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: 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
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 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 - 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 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
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
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
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
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
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
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
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: 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
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: 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: 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: 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
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
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
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
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
Phoronix Test Suite v10.8.5