AMD EPYC 7502 32-Core testing with a ASRockRack EPYCD8 (P2.10 BIOS) and llvmpipe on Ubuntu 20.10 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 2012126-HA-EPYC7502356 EPYC 7502 - Phoronix Test Suite EPYC 7502 AMD EPYC 7502 32-Core testing with a ASRockRack EPYCD8 (P2.10 BIOS) and llvmpipe on Ubuntu 20.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2012126-HA-EPYC7502356&gru&sor .
EPYC 7502 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution 1 2 3 AMD EPYC 7502 32-Core @ 2.50GHz (32 Cores / 64 Threads) ASRockRack EPYCD8 (P2.10 BIOS) AMD Starship/Matisse 126GB 280GB INTEL SSDPED1D280GA llvmpipe AMD Starship/Matisse VE228 2 x Intel I350 Ubuntu 20.10 5.8.0-31-generic (x86_64) GNOME Shell 3.38.1 X Server 1.20.9 modesetting 1.20.9 4.5 Mesa 20.2.1 (LLVM 11.0.0 256 bits) GCC 10.2.0 ext4 1024x768 1920x1080 OpenBenchmarking.org Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --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-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 Disk Details - NONE / errors=remount-ro,relatime,rw / Block Size: 4096 Processor Details - Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x830101c Python Details - Python 3.8.6 Security Details - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
EPYC 7502 graphics-magick: Swirl graphics-magick: Rotate graphics-magick: Sharpen graphics-magick: Enhanced graphics-magick: Resizing graphics-magick: Noise-Gaussian graphics-magick: HWB Color Space coremark: CoreMark Size 666 - Iterations Per Second compilebench: Compile compilebench: Initial Create compilebench: Read Compiled Tree apache-siege: 10 apache-siege: 50 apache-siege: 100 apache-siege: 200 apache-siege: 250 apache-siege: 500 brl-cad: VGR Performance Metric onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 3D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU hmmer: Pfam Database Search mafft: Multiple Sequence Alignment - LSU RNA build-ffmpeg: Time To Compile sqlite-speedtest: Timed Time - Size 1,000 1 2 3 1198 520 372 567 1767 514 1124 1128026.259987 1826.99 529.46 2774.39 19503.99 29285.90 30541.45 33062.47 37395.23 46298.75 362291 1.59488 2.99323 1.18770 1.02232 3.50587 2.13223 3.69957 4.02660 2.21053 1.95466 2780.11 1006.148 2958.90 1002.238 0.538154 2782.71 1023.25 1.17432 176.770 10.410 26.174 82.971 1194 508 372 564 1759 506 1101 1129442.350265 1840.71 543.80 2757.12 20108.13 29257.88 30529.88 32895.05 34655.33 1.60043 2.99882 1.18465 1.004974 3.50799 2.12522 3.69580 3.99404 2.20864 1.95672 2782.40 1014.80 2787.42 996.484 0.541569 2790.87 1012.515 1.17368 176.857 10.317 26.261 84.917 1200 524 375 567 1769 513 1133 1128056.110863 1831.66 544.25 2783.90 1.59918 2.99084 1.18670 1.00896 3.50153 2.13462 3.68999 4.00453 2.21550 1.96404 2764.71 1011.406 2772.04 1026.04 0.541623 2772.14 1022.60 1.17332 176.754 10.256 26.231 83.411 OpenBenchmarking.org
GraphicsMagick Operation: Swirl OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Swirl 3 1 2 300 600 900 1200 1500 SE +/- 1.00, N = 3 SE +/- 2.91, N = 3 SE +/- 0.58, N = 3 1200 1198 1194 1. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lX11 -lz -lm -lpthread
GraphicsMagick Operation: Rotate OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Rotate 3 1 2 110 220 330 440 550 SE +/- 0.67, N = 3 SE +/- 3.21, N = 3 524 520 508 1. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lX11 -lz -lm -lpthread
GraphicsMagick Operation: Sharpen OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Sharpen 3 2 1 80 160 240 320 400 SE +/- 0.33, N = 3 375 372 372 1. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lX11 -lz -lm -lpthread
GraphicsMagick Operation: Enhanced OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Enhanced 3 1 2 120 240 360 480 600 SE +/- 0.33, N = 3 567 567 564 1. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lX11 -lz -lm -lpthread
GraphicsMagick Operation: Resizing OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Resizing 3 1 2 400 800 1200 1600 2000 SE +/- 14.40, N = 3 SE +/- 4.04, N = 3 SE +/- 18.15, N = 3 1769 1767 1759 1. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lX11 -lz -lm -lpthread
GraphicsMagick Operation: Noise-Gaussian OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Noise-Gaussian 1 3 2 110 220 330 440 550 SE +/- 0.67, N = 3 514 513 506 1. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lX11 -lz -lm -lpthread
GraphicsMagick Operation: HWB Color Space OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: HWB Color Space 3 1 2 200 400 600 800 1000 SE +/- 0.67, N = 3 SE +/- 0.67, N = 3 1133 1124 1101 1. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lX11 -lz -lm -lpthread
Coremark CoreMark Size 666 - Iterations Per Second OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second 2 3 1 200K 400K 600K 800K 1000K SE +/- 4150.99, N = 3 SE +/- 4608.87, N = 3 SE +/- 3711.65, N = 3 1129442.35 1128056.11 1128026.26 1. (CC) gcc options: -O2 -lrt" -lrt
Compile Bench Test: Compile OpenBenchmarking.org MB/s, More Is Better Compile Bench 0.6 Test: Compile 2 3 1 400 800 1200 1600 2000 SE +/- 25.27, N = 3 SE +/- 6.63, N = 3 SE +/- 11.84, N = 3 1840.71 1831.66 1826.99
Compile Bench Test: Initial Create OpenBenchmarking.org MB/s, More Is Better Compile Bench 0.6 Test: Initial Create 3 2 1 120 240 360 480 600 SE +/- 2.36, N = 3 SE +/- 0.74, N = 3 SE +/- 9.07, N = 3 544.25 543.80 529.46
Compile Bench Test: Read Compiled Tree OpenBenchmarking.org MB/s, More Is Better Compile Bench 0.6 Test: Read Compiled Tree 3 1 2 600 1200 1800 2400 3000 SE +/- 9.50, N = 3 SE +/- 9.50, N = 3 SE +/- 9.58, N = 3 2783.90 2774.39 2757.12
Apache Siege Concurrent Users: 10 OpenBenchmarking.org Transactions Per Second, More Is Better Apache Siege 2.4.29 Concurrent Users: 10 2 1 4K 8K 12K 16K 20K SE +/- 94.53, N = 3 SE +/- 326.19, N = 3 20108.13 19503.99 1. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
Apache Siege Concurrent Users: 50 OpenBenchmarking.org Transactions Per Second, More Is Better Apache Siege 2.4.29 Concurrent Users: 50 1 2 6K 12K 18K 24K 30K SE +/- 82.82, N = 3 SE +/- 121.02, N = 3 29285.90 29257.88 1. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
Apache Siege Concurrent Users: 100 OpenBenchmarking.org Transactions Per Second, More Is Better Apache Siege 2.4.29 Concurrent Users: 100 1 2 7K 14K 21K 28K 35K SE +/- 116.40, N = 3 SE +/- 163.78, N = 3 30541.45 30529.88 1. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
Apache Siege Concurrent Users: 200 OpenBenchmarking.org Transactions Per Second, More Is Better Apache Siege 2.4.29 Concurrent Users: 200 1 2 7K 14K 21K 28K 35K SE +/- 127.12, N = 3 SE +/- 71.57, N = 3 33062.47 32895.05 1. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
Apache Siege Concurrent Users: 250 OpenBenchmarking.org Transactions Per Second, More Is Better Apache Siege 2.4.29 Concurrent Users: 250 1 2 8K 16K 24K 32K 40K SE +/- 489.59, N = 3 SE +/- 253.85, N = 3 37395.23 34655.33 1. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
Apache Siege Concurrent Users: 500 OpenBenchmarking.org Transactions Per Second, More Is Better Apache Siege 2.4.29 Concurrent Users: 500 1 10K 20K 30K 40K 50K SE +/- 1011.06, N = 15 46298.75 1. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
BRL-CAD VGR Performance Metric OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.30.8 VGR Performance Metric 1 80K 160K 240K 320K 400K 362291 1. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lGL -lGLdispatch -lX11 -lpthread -ldl -lm
oneDNN Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU 1 3 2 0.3601 0.7202 1.0803 1.4404 1.8005 SE +/- 0.00343, N = 3 SE +/- 0.00184, N = 3 SE +/- 0.00590, N = 3 1.59488 1.59918 1.60043 MIN: 1.52 MIN: 1.52 MIN: 1.53 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU 3 1 2 0.6747 1.3494 2.0241 2.6988 3.3735 SE +/- 0.00136, N = 3 SE +/- 0.00417, N = 3 SE +/- 0.00952, N = 3 2.99084 2.99323 2.99882 MIN: 2.88 MIN: 2.91 MIN: 2.9 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU 2 3 1 0.2672 0.5344 0.8016 1.0688 1.336 SE +/- 0.00481, N = 3 SE +/- 0.00216, N = 3 SE +/- 0.00307, N = 3 1.18465 1.18670 1.18770 MIN: 1.13 MIN: 1.13 MIN: 1.13 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU 2 3 1 0.23 0.46 0.69 0.92 1.15 SE +/- 0.007652, N = 3 SE +/- 0.003333, N = 3 SE +/- 0.009672, N = 3 1.004974 1.008960 1.022320 MIN: 0.95 MIN: 0.95 MIN: 0.96 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU 3 1 2 0.7893 1.5786 2.3679 3.1572 3.9465 SE +/- 0.02094, N = 3 SE +/- 0.01112, N = 3 SE +/- 0.01399, N = 3 3.50153 3.50587 3.50799 MIN: 3.41 MIN: 3.43 MIN: 3.42 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU 2 1 3 0.4803 0.9606 1.4409 1.9212 2.4015 SE +/- 0.00581, N = 3 SE +/- 0.01107, N = 3 SE +/- 0.00581, N = 3 2.12522 2.13223 2.13462 MIN: 2.06 MIN: 2.06 MIN: 2.07 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU 3 2 1 0.8324 1.6648 2.4972 3.3296 4.162 SE +/- 0.00980, N = 3 SE +/- 0.00747, N = 3 SE +/- 0.01637, N = 3 3.68999 3.69580 3.69957 MIN: 3.51 MIN: 3.52 MIN: 3.51 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU 2 3 1 0.906 1.812 2.718 3.624 4.53 SE +/- 0.02974, N = 3 SE +/- 0.03862, N = 3 SE +/- 0.01678, N = 3 3.99404 4.00453 4.02660 MIN: 3.87 MIN: 3.87 MIN: 3.88 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU 2 1 3 0.4985 0.997 1.4955 1.994 2.4925 SE +/- 0.00333, N = 3 SE +/- 0.00442, N = 3 SE +/- 0.00830, N = 3 2.20864 2.21053 2.21550 MIN: 2.07 MIN: 2.07 MIN: 2.07 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU 1 2 3 0.4419 0.8838 1.3257 1.7676 2.2095 SE +/- 0.00337, N = 3 SE +/- 0.00252, N = 3 SE +/- 0.00205, N = 3 1.95466 1.95672 1.96404 MIN: 1.82 MIN: 1.88 MIN: 1.88 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU 3 1 2 600 1200 1800 2400 3000 SE +/- 4.80, N = 3 SE +/- 6.08, N = 3 SE +/- 3.21, N = 3 2764.71 2780.11 2782.40 MIN: 2746.18 MIN: 2761.69 MIN: 2757.63 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU 1 3 2 200 400 600 800 1000 SE +/- 13.95, N = 3 SE +/- 11.63, N = 3 SE +/- 3.95, N = 3 1006.15 1011.41 1014.80 MIN: 977.62 MIN: 980.15 MIN: 1001.6 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU 3 2 1 600 1200 1800 2400 3000 SE +/- 4.93, N = 3 SE +/- 7.52, N = 3 SE +/- 170.22, N = 15 2772.04 2787.42 2958.90 MIN: 2750.97 MIN: 2769.22 MIN: 2768.54 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU 2 1 3 200 400 600 800 1000 SE +/- 0.88, N = 3 SE +/- 10.79, N = 3 SE +/- 1.20, N = 3 996.48 1002.24 1026.04 MIN: 989.39 MIN: 978.04 MIN: 1017.38 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU 1 2 3 0.1219 0.2438 0.3657 0.4876 0.6095 SE +/- 0.002054, N = 3 SE +/- 0.001887, N = 3 SE +/- 0.001884, N = 3 0.538154 0.541569 0.541623 MIN: 0.51 MIN: 0.52 MIN: 0.52 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU 3 1 2 600 1200 1800 2400 3000 SE +/- 9.53, N = 3 SE +/- 1.44, N = 3 SE +/- 2.00, N = 3 2772.14 2782.71 2790.87 MIN: 2746.59 MIN: 2766.03 MIN: 2779.36 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU 2 3 1 200 400 600 800 1000 SE +/- 7.29, N = 3 SE +/- 0.49, N = 3 SE +/- 4.43, N = 3 1012.52 1022.60 1023.25 MIN: 992.98 MIN: 1015.53 MIN: 1007.84 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU 3 2 1 0.2642 0.5284 0.7926 1.0568 1.321 SE +/- 0.00085, N = 3 SE +/- 0.00431, N = 3 SE +/- 0.00140, N = 3 1.17332 1.17368 1.17432 MIN: 1.08 MIN: 1.08 MIN: 1.07 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Timed HMMer Search Pfam Database Search OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search 3 1 2 40 80 120 160 200 SE +/- 0.20, N = 3 SE +/- 0.39, N = 3 SE +/- 0.16, N = 3 176.75 176.77 176.86 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
Timed MAFFT Alignment Multiple Sequence Alignment - LSU RNA OpenBenchmarking.org Seconds, Fewer Is Better Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA 3 2 1 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 10.26 10.32 10.41 1. (CC) gcc options: -std=c99 -O3 -lm -lpthread
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile 1 3 2 6 12 18 24 30 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 26.17 26.23 26.26
SQLite Speedtest Timed Time - Size 1,000 OpenBenchmarking.org Seconds, Fewer Is Better SQLite Speedtest 3.30 Timed Time - Size 1,000 1 3 2 20 40 60 80 100 SE +/- 0.14, N = 3 SE +/- 0.80, N = 3 SE +/- 0.33, N = 3 82.97 83.41 84.92 1. (CC) gcc options: -O2 -ldl -lz -lpthread
Phoronix Test Suite v10.8.4