2 x AMD EPYC 7742 64-Core testing with a AMD DAYTONA_X (RDY1001C BIOS) and llvmpipe 504GB on Ubuntu 19.10 via the Phoronix Test Suite.
2 x AMD EPYC 7642 48-Core Processor: 2 x AMD EPYC 7642 48-Core @ 2.30GHz (96 Cores / 192 Threads), Motherboard: AMD DAYTONA_X (RDY1001C BIOS), Chipset: AMD Starship/Matisse, Memory: 516096MB, Disk: 280GB INTEL SSDPED1D280GA + 256GB Micron_1100_MTFD, Graphics: llvmpipe 504GB, Monitor: VE228, Network: 2 x Mellanox MT27710
OS: Ubuntu 19.10, Kernel: 5.4.0-999-generic (x86_64) 20191017, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.1 (LLVM 9.0 128 bits), Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,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 -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemandJava Notes: OpenJDK Runtime Environment (build 11.0.5-ea+10-post-Ubuntu-0ubuntu1)Security Notes: 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: conditional RSB filling
2 x AMD EPYC 7742 64-Core Changed Processor to 2 x AMD EPYC 7742 64-Core @ 2.25GHz (128 Cores / 256 Threads) .
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: cos 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 12 24 36 48 60 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 53.86 55.45
MKL-DNN DNNL This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 150 300 450 600 750 SE +/- 2.01, N = 3 SE +/- 2.19, N = 3 534.90 716.86 MIN: 518.5 MIN: 699.77 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: exp 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 6.21 6.40
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: ffs 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 0.522 1.044 1.566 2.088 2.61 SE +/- 0.00, N = 15 SE +/- 0.00, N = 6 2.25 2.32
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: sin 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 12 24 36 48 60 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 53.49 55.11
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Write Test 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 300 600 900 1200 1500 SE +/- 17.41, N = 4 SE +/- 7.32, N = 3 1160.81 1197.71 MIN: 67.9 / MAX: 1495.31 MIN: 151.13 / MAX: 1470.06 1. (CC) gcc options: -O2 -lm -pthread -lmpi
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: log2 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 7.40 7.62
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: modf 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 0.657 1.314 1.971 2.628 3.285 SE +/- 0.00, N = 3 SE +/- 0.00, N = 12 2.84 2.92
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: sinh 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 9.86 10.19
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: sqrt 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 0.657 1.314 1.971 2.628 3.285 SE +/- 0.00, N = 6 SE +/- 0.00, N = 3 2.83 2.92
MKL-DNN DNNL This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 140 280 420 560 700 SE +/- 0.48, N = 3 SE +/- 0.63, N = 3 516.79 658.74 MIN: 508.96 MIN: 652.2 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Recurrent Neural Network Training - Data Type: f32 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 200 400 600 800 1000 SE +/- 3.21, N = 3 SE +/- 4.72, N = 3 791.31 662.73 MIN: 757.5 MIN: 602.24 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: f32 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 0.6728 1.3456 2.0184 2.6912 3.364 SE +/- 0.07, N = 15 SE +/- 0.11, N = 12 2.99 2.81 MIN: 2.49 MIN: 2.32 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: u8s8f32 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 2K 4K 6K 8K 10K SE +/- 11.94, N = 3 SE +/- 13.30, N = 3 9074.29 9665.14 MIN: 8770.74 MIN: 9334.8 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: u8s8f32 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 400 800 1200 1600 2000 SE +/- 1.67, N = 3 SE +/- 1.21, N = 3 1393.12 1775.59 MIN: 1369 MIN: 1748.36 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: f32 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 0.9765 1.953 2.9295 3.906 4.8825 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 4.34 4.21 MIN: 3.68 MIN: 3.45 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: u8s8f32 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 7 14 21 28 35 SE +/- 0.11, N = 3 SE +/- 0.23, N = 3 26.73 27.70 MIN: 24.24 MIN: 25.11 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: f32 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 0.4635 0.927 1.3905 1.854 2.3175 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 2.06 1.86 MIN: 1.85 MIN: 1.62 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
LAME MP3 Encoding LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better LAME MP3 Encoding 3.100 WAV To MP3 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 9.14 9.41 1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 2.6.0 Test: Boat - Acceleration: CPU-only 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 0.8798 1.7596 2.6394 3.5192 4.399 SE +/- 0.07, N = 15 SE +/- 0.07, N = 12 3.91 3.50
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 2.6.0 Test: Masskrug - Acceleration: CPU-only 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 1.188 2.376 3.564 4.752 5.94 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 5.28 4.79
MKL-DNN DNNL This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: f32 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 4 8 12 16 20 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 14.20 11.55 MIN: 13.42 MIN: 10.82 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: tanh 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 13.56 13.96
MKL-DNN DNNL This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: u8s8f32 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 40 80 120 160 200 SE +/- 1.06, N = 3 SE +/- 0.14, N = 3 163.92 166.48 MIN: 155.95 MIN: 160.31 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: asinh 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 10.75 11.06
MKL-DNN DNNL This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: f32 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 110 220 330 440 550 SE +/- 4.19, N = 3 SE +/- 5.18, N = 3 408.68 485.82 MIN: 377.44 MIN: 453.62 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: atanh 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 12.83 13.21
MKL-DNN DNNL This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: f32 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 0.6413 1.2826 1.9239 2.5652 3.2065 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 2.85 2.76 MIN: 2.55 MIN: 2.37 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: ffsll 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 0.522 1.044 1.566 2.088 2.61 SE +/- 0.00, N = 15 SE +/- 0.00, N = 5 2.25 2.32
MKL-DNN DNNL This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: f32 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 13 26 39 52 65 SE +/- 0.40, N = 15 SE +/- 0.57, N = 15 48.92 59.19 MIN: 43.91 MIN: 52.69 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: sincos 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 15.47 15.94
MKL-DNN DNNL This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_all - Data Type: f32 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 500 1000 1500 2000 2500 SE +/- 12.63, N = 3 SE +/- 31.06, N = 3 844.26 2213.19 MIN: 779.57 MIN: 2049.6 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: pthread_once 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 0.522 1.044 1.566 2.088 2.61 SE +/- 0.00, N = 12 SE +/- 0.00, N = 3 2.25 2.32
MKL-DNN DNNL This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 200 400 600 800 1000 SE +/- 0.87, N = 3 SE +/- 0.31, N = 3 843.96 1108.64 MIN: 840.32 MIN: 1105.65 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 7 14 21 28 35 SE +/- 0.27, N = 3 SE +/- 0.37, N = 5 29.02 31.70 MIN: 26.27 MIN: 27.69 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 2.6.0 Test: Server Rack - Acceleration: CPU-only 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 0.054 0.108 0.162 0.216 0.27 SE +/- 0.01, N = 15 SE +/- 0.01, N = 15 0.23 0.24
MKL-DNN DNNL This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 300 600 900 1200 1500 SE +/- 4.88, N = 3 SE +/- 11.71, N = 3 1575.73 846.64 MIN: 1476.74 MIN: 759.39 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 2.6.0 Test: Server Room - Acceleration: CPU-only 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 1.107 2.214 3.321 4.428 5.535 SE +/- 0.29, N = 15 SE +/- 0.24, N = 13 4.92 3.46
Timed MrBayes Analysis This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed MrBayes Analysis 3.2.7 Primate Phylogeny Analysis 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 20 40 60 80 100 SE +/- 0.05, N = 3 SE +/- 0.37, N = 3 109.87 106.63 1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MT - Degridding 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 1500 3000 4500 6000 7500 SE +/- 144.38, N = 3 SE +/- 441.89, N = 3 6637.56 6885.82 1. (CXX) g++ options: -lpthread
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MPI - Gridding 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 2K 4K 6K 8K 10K SE +/- 4.01, N = 3 SE +/- 5.02, N = 3 9466.88 9398.43 1. (CXX) g++ options: -lpthread
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MPI - Degridding 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 3K 6K 9K 12K 15K SE +/- 6.27, N = 3 SE +/- 7.54, N = 3 12135.60 12657.97 1. (CXX) g++ options: -lpthread
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve OpenMP - Gridding 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 1500 3000 4500 6000 7500 SE +/- 399.45, N = 12 SE +/- 287.30, N = 15 6751.29 7093.04 1. (CXX) g++ options: -lpthread
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve OpenMP - Degridding 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 900 1800 2700 3600 4500 SE +/- 144.06, N = 12 SE +/- 221.18, N = 15 3848.79 3974.54 1. (CXX) g++ options: -lpthread
OpenBenchmarking.org Hydro Cycle Time - Seconds, Fewer Is Better Pennant 1.0.1 Test: leblancbig 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 50 100 150 200 250 SE +/- 0.56, N = 3 SE +/- 0.24, N = 3 223.17 178.93 1. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
N-Queens This is a test of the OpenMP version of a test that solves the N-queens problem. The board problem size is 18. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better N-Queens 1.0 Elapsed Time 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 0.4658 0.9316 1.3974 1.8632 2.329 SE +/- 0.04, N = 12 SE +/- 0.06, N = 15 1.75 2.07 1. (CC) gcc options: -static -fopenmp -O3 -march=native
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Summer Nature 4K 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 4 8 12 16 20 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 15.52 15.40 1. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Summer Nature 1080p 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 11 22 33 44 55 SE +/- 0.25, N = 3 SE +/- 0.54, N = 3 47.92 47.09 1. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Chimera 1080p 10-bit 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 4 8 12 16 20 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 14.79 14.51 1. (CXX) g++ options: -O3 -lpthread
VP9 libvpx Encoding This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.8.1 vpxenc VP9 1080p Video Encode 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 30 60 90 120 150 SE +/- 0.42, N = 3 SE +/- 1.36, N = 8 137.33 132.83 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Swirl 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 400 800 1200 1600 2000 SE +/- 10.74, N = 3 SE +/- 11.67, N = 3 1963 1992 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Rotate 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 100 200 300 400 500 SE +/- 2.40, N = 3 SE +/- 2.00, N = 3 440 420 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Sharpen 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 200 400 600 800 1000 SE +/- 2.40, N = 3 SE +/- 1.20, N = 3 889 791 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Enhanced 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 300 600 900 1200 1500 SE +/- 2.73, N = 3 SE +/- 2.03, N = 3 1248 1119 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Resizing 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 30 60 90 120 150 SE +/- 0.79, N = 15 SE +/- 1.45, N = 3 94 134 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Noise-Gaussian 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 140 280 420 560 700 SE +/- 4.51, N = 3 SE +/- 6.21, N = 9 630 649 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: HWB Color Space 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 200 400 600 800 1000 SE +/- 7.85, N = 15 SE +/- 10.09, N = 3 943 1091 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: VMAF Optimized - Input: Bosphorus 1080p 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 70 140 210 280 350 SE +/- 3.30, N = 3 SE +/- 2.76, N = 11 321.44 313.35 1. (CC) gcc options: -fPIE -fPIC -fvisibility=hidden -O3 -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 70 140 210 280 350 SE +/- 2.57, N = 3 SE +/- 1.15, N = 3 321.93 321.15 1. (CC) gcc options: -fPIE -fPIC -fvisibility=hidden -O3 -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 60 120 180 240 300 SE +/- 2.59, N = 3 SE +/- 3.61, N = 3 259.42 251.75 1. (CC) gcc options: -fPIE -fPIC -fvisibility=hidden -O3 -pie -rdynamic -lpthread -lrt -lm
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better dav1d 0.5.0 Video Input: Chimera 1080p 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 160 320 480 640 800 SE +/- 7.49, N = 3 SE +/- 1.60, N = 3 720.53 573.92 MIN: 259.62 / MAX: 920.09 MIN: 301.49 / MAX: 719.11 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 0.5.0 Video Input: Summer Nature 4K 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 70 140 210 280 350 SE +/- 1.76, N = 3 SE +/- 1.28, N = 3 315.60 317.43 MIN: 55.99 / MAX: 417.7 MIN: 72.4 / MAX: 391.45 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 0.5.0 Video Input: Summer Nature 1080p 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 200 400 600 800 1000 SE +/- 7.44, N = 3 SE +/- 4.33, N = 3 782.32 724.74 MIN: 132.3 / MAX: 1028.45 MIN: 158.65 / MAX: 886.33 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 0.5.0 Video Input: Chimera 1080p 10-bit 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 30 60 90 120 150 SE +/- 0.20, N = 3 SE +/- 0.30, N = 3 124.37 98.33 MIN: 88.15 / MAX: 185.51 MIN: 66.13 / MAX: 165.92 1. (CC) gcc options: -pthread
SVT-AV1 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.7 Encoder Mode: Enc Mode 0 - Input: 1080p 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 0.0113 0.0226 0.0339 0.0452 0.0565 SE +/- 0.00, N = 6 SE +/- 0.00, N = 3 0.05 0.05 1. (CXX) g++ options: -fPIE -fPIC -pie
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.7 Encoder Mode: Enc Mode 4 - Input: 1080p 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 3 6 9 12 15 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 10.38 9.69 1. (CXX) g++ options: -fPIE -fPIC -pie
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.7 Encoder Mode: Enc Mode 8 - Input: 1080p 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 20 40 60 80 100 SE +/- 0.50, N = 3 SE +/- 0.96, N = 3 103.84 101.83 1. (CXX) g++ options: -fPIE -fPIC -pie
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Crown 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 20 40 60 80 100 SE +/- 0.52, N = 3 SE +/- 0.27, N = 3 76.00 64.95 MIN: 69.25 / MAX: 84.2 MIN: 61.27 / MAX: 69.08
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Asian Dragon 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 13 26 39 52 65 SE +/- 0.15, N = 3 SE +/- 0.19, N = 3 58.06 56.73 MIN: 54.63 / MAX: 61.04 MIN: 54.54 / MAX: 59.89
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Asian Dragon Obj 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 11 22 33 44 55 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 50.52 50.03 MIN: 47.78 / MAX: 53.87 MIN: 48.42 / MAX: 53.88
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Asian Dragon 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 13 26 39 52 65 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 55.82 54.33 MIN: 52.35 / MAX: 58.67 MIN: 52.36 / MAX: 57.15
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 11 22 33 44 55 SE +/- 0.05, N = 3 SE +/- 0.23, N = 3 47.84 46.94 MIN: 45.36 / MAX: 50.97 MIN: 45.38 / MAX: 49.91
LuxCoreRender LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.2 Scene: DLSC 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 0.0608 0.1216 0.1824 0.2432 0.304 SE +/- 0.02, N = 15 SE +/- 0.03, N = 12 0.27 0.22 MIN: 0.09 / MAX: 0.39 MIN: 0.1 / MAX: 0.4
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.2 Scene: Rainbow Colors and Prism 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 0.0405 0.081 0.1215 0.162 0.2025 SE +/- 0.01, N = 15 SE +/- 0.01, N = 15 0.15 0.18 MIN: 0.09 / MAX: 0.25 MIN: 0.1 / MAX: 0.3
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 20 40 60 80 100 SE +/- 0.70, N = 13 SE +/- 0.00, N = 12 91.61 76.92 MIN: 28.57 / MAX: 111.11 MIN: 31.25 / MAX: 90.91
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 5 10 15 20 25 SE +/- 0.00, N = 12 SE +/- 0.09, N = 3 20.41 16.31 MIN: 12.5 / MAX: 21.28 MIN: 12.35 / MAX: 16.67
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 2 4 6 8 10 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 8.40 6.99 MIN: 5.18 / MAX: 8.7 MIN: 4.95 / MAX: 7.09
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 30 60 90 120 150 125 100 MIN: 16.95 / MAX: 142.86 MIN: 15.63 / MAX: 111.11
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 3 6 9 12 15 SE +/- 0.07, N = 3 SE +/- 0.02, N = 4 10.99 8.87 MIN: 8.85 / MAX: 11.24 MIN: 7.25 / MAX: 9.01
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 12 24 36 48 60 SE +/- 0.00, N = 15 55.56 50.00 MIN: 9.62 / MAX: 58.82 MIN: 10.64 / MAX: 52.63
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 7 14 21 28 35 SE +/- 0.30, N = 3 SE +/- 0.00, N = 12 30.01 24.39 MIN: 11.76 / MAX: 31.25 MIN: 10.53 / MAX: 25
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 70 140 210 280 350 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 333.33 333.33 MIN: 47.62 / MAX: 500 MIN: 66.67 / MAX: 500
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Signs Per Second, More Is Better OpenSSL 1.1.1 RSA 4096-bit Performance 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 5K 10K 15K 20K 25K SE +/- 86.09, N = 3 SE +/- 155.67, N = 3 24750.03 19813.40 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org Requests Per Second, More Is Better Redis 5.0.5 Test: SADD 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 400K 800K 1200K 1600K 2000K SE +/- 24578.27, N = 15 SE +/- 15943.28, N = 15 1719436.50 1597669.88 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.org Requests Per Second, More Is Better Redis 5.0.5 Test: LPUSH 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 300K 600K 900K 1200K 1500K SE +/- 17074.67, N = 15 SE +/- 18827.57, N = 15 1292527.80 1237976.26 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.org Requests Per Second, More Is Better Redis 5.0.5 Test: GET 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 400K 800K 1200K 1600K 2000K SE +/- 29954.73, N = 15 SE +/- 13285.92, N = 3 1942483.35 1804165.17 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.org Requests Per Second, More Is Better Redis 5.0.5 Test: SET 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 300K 600K 900K 1200K 1500K SE +/- 21192.42, N = 3 SE +/- 20709.04, N = 3 1461897.92 1430535.50 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
SQLite This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SQLite 3.30.1 Threads / Copies: 1 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 0.5445 1.089 1.6335 2.178 2.7225 SE +/- 0.00, N = 3 SE +/- 0.02, N = 9 2.25 2.42 1. (CC) gcc options: -O2 -lz -lm -ldl -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better SQLite 3.30.1 Threads / Copies: 8 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 2 4 6 8 10 SE +/- 0.23, N = 15 SE +/- 0.28, N = 15 6.57 6.78 1. (CC) gcc options: -O2 -lz -lm -ldl -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better SQLite 3.30.1 Threads / Copies: 32 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 6 12 18 24 30 SE +/- 1.27, N = 12 SE +/- 0.68, N = 12 24.74 23.61 1. (CC) gcc options: -O2 -lz -lm -ldl -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better SQLite 3.30.1 Threads / Copies: 64 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 15 30 45 60 75 SE +/- 1.40, N = 15 SE +/- 0.80, N = 3 59.81 69.53 1. (CC) gcc options: -O2 -lz -lm -ldl -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better SQLite 3.30.1 Threads / Copies: 128 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 30 60 90 120 150 SE +/- 1.17, N = 3 SE +/- 3.30, N = 12 138.96 137.51 1. (CC) gcc options: -O2 -lz -lm -ldl -lpthread
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Read 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 100M 200M 300M 400M 500M SE +/- 1391185.52, N = 3 SE +/- 1293979.10, N = 3 463664567 364170524 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Sequential Fill 2 x AMD EPYC 7642 48-Core 50K 100K 150K 200K 250K SE +/- 2908.66, N = 3 252029 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Fill Sync 2 x AMD EPYC 7742 64-Core 2 x AMD EPYC 7642 48-Core 40K 80K 120K 160K 200K SE +/- 3196.19, N = 3 SE +/- 1952.69, N = 3 188159 178224 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Read While Writing 2 x AMD EPYC 7642 48-Core 2M 4M 6M 8M 10M SE +/- 173881.68, N = 15 9887084 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 12.0 Scaling: Buffer Test - Test: Normal Load - Mode: Read Write 2 x AMD EPYC 7642 48-Core 3K 6K 9K 12K 15K SE +/- 468.31, N = 9 15444.23 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 12.0 Scaling: Buffer Test - Test: Single Thread - Mode: Read Only 2 x AMD EPYC 7642 48-Core 4K 8K 12K 16K 20K SE +/- 264.13, N = 3 20042.30 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 12.0 Scaling: Buffer Test - Test: Single Thread - Mode: Read Write 2 x AMD EPYC 7642 48-Core 500 1000 1500 2000 2500 SE +/- 9.65, N = 3 2163.45 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm
2 x AMD EPYC 7642 48-Core Processor: 2 x AMD EPYC 7642 48-Core @ 2.30GHz (96 Cores / 192 Threads), Motherboard: AMD DAYTONA_X (RDY1001C BIOS), Chipset: AMD Starship/Matisse, Memory: 516096MB, Disk: 280GB INTEL SSDPED1D280GA + 256GB Micron_1100_MTFD, Graphics: llvmpipe 504GB, Monitor: VE228, Network: 2 x Mellanox MT27710
OS: Ubuntu 19.10, Kernel: 5.4.0-999-generic (x86_64) 20191017, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.1 (LLVM 9.0 128 bits), Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,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 -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemandJava Notes: OpenJDK Runtime Environment (build 11.0.5-ea+10-post-Ubuntu-0ubuntu1)Security Notes: 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: conditional RSB filling
Testing initiated at 24 October 2019 20:57 by user phoronix.
2 x AMD EPYC 7742 64-Core Processor: 2 x AMD EPYC 7742 64-Core @ 2.25GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RDY1001C BIOS), Chipset: AMD Starship/Matisse, Memory: 516096MB, Disk: 280GB INTEL SSDPED1D280GA + 256GB Micron_1100_MTFD, Graphics: llvmpipe 504GB, Monitor: VE228, Network: 2 x Mellanox MT27710
OS: Ubuntu 19.10, Kernel: 5.4.0-999-generic (x86_64) 20191017, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.1 (LLVM 9.0 128 bits), Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,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 -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemandJava Notes: OpenJDK Runtime Environment (build 11.0.5-ea+10-post-Ubuntu-0ubuntu1)Security Notes: 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: conditional RSB filling
Testing initiated at 27 October 2019 07:53 by user phoronix.