AMD EPYC 7502 testing of various benchmarks under AMD AOCC 2.3, GCC 10.2, LLVM Clang 11. CFLAGS/CXXFLAGS of "-O3 -march=znver2" throughout. Benchmarks by Michael Larabel for a future article.
GCC 10.2 Processor: AMD EPYC 7502 32-Core @ 2.50GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: ASPEED, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-31-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Environment Notes: CXXFLAGS="-O3 -march=znver2" CFLAGS="-O3 -march=znver2"Compiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x830101cSecurity Notes: 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
LLVM Clang 11 OS: Ubuntu 20.10, Kernel: 5.8.0-31-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, Compiler: Clang 11.0.0-2Target:, File-System: ext4, Screen Resolution: 1920x1080
Environment Notes: CXXFLAGS="-O3 -march=znver2" CFLAGS="-O3 -march=znver2"Processor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x830101cSecurity Notes: 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
AMD AOCC 2.3 OS: Ubuntu 20.10, Kernel: 5.8.0-31-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, Compiler: Clang 11.0.0, File-System: ext4, Screen Resolution: 1920x1080
Environment Notes: CXXFLAGS="-O3 -march=znver2" CFLAGS="-O3 -march=znver2"Compiler Notes: Optimized build with assertions; Default target: x86_64-unknown-linux-gnu; Host CPU: znver2Processor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x830101cSecurity Notes: 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
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 0.8978 1.7956 2.6934 3.5912 4.489 SE +/- 0.02, N = 15 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 2.84 3.99 2.19 -lomp - MIN: 2.67 / MAX: 4.67 -lgomp - MIN: 3.77 / MAX: 4.73 -lomp - MIN: 2.1 / MAX: 2.43 1. (CXX) g++ options: -O3 -march=znver2 -rdynamic -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 3 6 9 12 15 SE +/- 0.09, N = 15 SE +/- 0.29, N = 3 SE +/- 0.03, N = 3 6.26 8.95 5.01 -lomp - MIN: 5.63 / MAX: 8.5 -lgomp - MIN: 8.26 / MAX: 11.03 -lomp - MIN: 4.87 / MAX: 5.39 1. (CXX) g++ options: -O3 -march=znver2 -rdynamic -lpthread
C-Ray This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 1.1 Total Time - 4K, 16 Rays Per Pixel LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 8 16 24 32 40 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 30.65 18.92 33.28 1. (CC) gcc options: -lm -lpthread -O3 -march=znver2
oneDNN This is a test of the Intel oneDNN 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. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 60 120 180 240 300 SE +/- 1.10, N = 3 SE +/- 0.73, N = 3 SE +/- 0.06, N = 3 172.51 254.61 147.52 -fopenmp=libomp - MIN: 169.54 -fopenmp - MIN: 251.67 -fopenmp=libomp - MIN: 146.31 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -pie -lpthread -ldl
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 2 4 6 8 10 SE +/- 0.06, N = 15 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 6.87 8.88 5.20 -lomp - MIN: 6.16 / MAX: 8.64 -lgomp - MIN: 8.58 / MAX: 10.83 -lomp - MIN: 5.05 / MAX: 7.61 1. (CXX) g++ options: -O3 -march=znver2 -rdynamic -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 3 6 9 12 15 SE +/- 0.06, N = 15 SE +/- 0.24, N = 3 SE +/- 0.08, N = 3 6.88 9.37 5.62 -lomp - MIN: 6.35 / MAX: 16.49 -lgomp - MIN: 8.62 / MAX: 11 -lomp - MIN: 5.35 / MAX: 7.49 1. (CXX) g++ options: -O3 -march=znver2 -rdynamic -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 3 6 9 12 15 SE +/- 0.09, N = 15 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 8.77 11.32 6.94 -lomp - MIN: 7.99 / MAX: 13.6 -lgomp - MIN: 11.03 / MAX: 13.16 -lomp - MIN: 6.72 / MAX: 9 1. (CXX) g++ options: -O3 -march=znver2 -rdynamic -lpthread
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 0.7.0 Video Input: Chimera 1080p 10-bit LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 30 60 90 120 150 SE +/- 0.26, N = 3 SE +/- 0.18, N = 3 SE +/- 0.34, N = 3 92.56 143.02 122.39 MIN: 61.05 / MAX: 158.66 MIN: 98.76 / MAX: 246.17 MIN: 85.78 / MAX: 202.39 1. (CC) gcc options: -O3 -march=znver2 -pthread
Darmstadt Automotive Parallel Heterogeneous Suite DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Points2Image LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 4K 8K 12K 16K 20K SE +/- 96.60, N = 3 SE +/- 140.90, N = 3 SE +/- 163.63, N = 6 11946.57 18452.62 13720.16 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
LibRaw LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mpix/sec, More Is Better LibRaw 0.20 Post-Processing Benchmark LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 12 24 36 48 60 SE +/- 0.13, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 36.98 52.54 38.47 1. (CXX) g++ options: -O3 -march=znver2 -fopenmp -ljpeg -lz -lm
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 0.8 Encoder Mode: Enc Mode 0 - Input: 1080p LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 0.0329 0.0658 0.0987 0.1316 0.1645 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.145 0.103 0.146 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
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 LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 1600 3200 4800 6400 8000 SE +/- 1.37, N = 3 SE +/- 0.73, N = 3 SE +/- 0.64, N = 3 5412.5 7395.4 5413.5 -Qunused-arguments -Qunused-arguments 1. (CC) gcc options: -pthread -m64 -O3 -march=znver2 -lssl -lcrypto -ldl
Darmstadt Automotive Parallel Heterogeneous Suite DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Euclidean Cluster LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 200 400 600 800 1000 SE +/- 2.53, N = 3 SE +/- 0.77, N = 3 SE +/- 0.47, N = 3 674.01 890.71 678.51 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
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 0.8 Encoder Mode: Enc Mode 4 - Input: 1080p LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 2 4 6 8 10 SE +/- 0.026, N = 3 SE +/- 0.025, N = 3 SE +/- 0.042, N = 3 8.591 6.775 8.657 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 8 - Input: 1080p LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 16 32 48 64 80 SE +/- 0.30, N = 3 SE +/- 0.29, N = 3 SE +/- 0.46, N = 3 70.23 55.71 70.70 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
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: Resizing LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 400 800 1200 1600 2000 SE +/- 10.17, N = 3 SE +/- 17.89, N = 3 SE +/- 22.27, N = 3 1827 2092 1653 1. (CC) gcc options: -fopenmp -O3 -march=znver2 -pthread -ljpeg -lX11 -lz -lm -lpthread
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 5 10 15 20 25 SE +/- 0.27, N = 15 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 18.88 20.85 16.51 -lomp - MIN: 16.91 / MAX: 23.31 -lgomp - MIN: 19.8 / MAX: 22.84 -lomp - MIN: 16.26 / MAX: 18.75 1. (CXX) g++ options: -O3 -march=znver2 -rdynamic -lpthread
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 LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 3 6 9 12 15 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 10.078 8.798 11.026 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr 1. (CC) gcc options: -O3 -pipe -march=znver2 -lncurses -lm
oneDNN This is a test of the Intel oneDNN 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. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 0.1296 0.2592 0.3888 0.5184 0.648 SE +/- 0.001767, N = 3 SE +/- 0.001691, N = 3 SE +/- 0.000544, N = 3 0.575864 0.532944 0.464235 -fopenmp=libomp - MIN: 0.55 -fopenmp - MIN: 0.51 -fopenmp=libomp - MIN: 0.45 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 0.3876 0.7752 1.1628 1.5504 1.938 SE +/- 0.00256, N = 3 SE +/- 0.00519, N = 3 SE +/- 0.00432, N = 3 1.72247 1.67503 1.40879 -fopenmp=libomp - MIN: 1.62 -fopenmp - MIN: 1.59 -fopenmp=libomp - MIN: 1.36 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -pie -lpthread -ldl
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 90 180 270 360 450 SE +/- 0.45, N = 3 SE +/- 0.62, N = 3 SE +/- 0.24, N = 3 392.20 324.17 365.39 -fopenmp=libomp - MIN: 390.71 / MAX: 393.87 -fopenmp - MIN: 311.9 / MAX: 354.48 -fopenmp=libomp - MIN: 364.57 / MAX: 366.34 1. (CXX) g++ options: -O3 -march=znver2 -pthread -fvisibility=hidden -rdynamic -ldl
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Medium LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 6.05 7.00 5.81 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 6 12 18 24 30 SE +/- 0.20, N = 15 SE +/- 0.16, N = 3 SE +/- 0.18, N = 3 22.23 23.70 19.70 -lomp - MIN: 20.63 / MAX: 31.79 -lgomp - MIN: 23.21 / MAX: 25.68 -lomp - MIN: 19.16 / MAX: 22.41 1. (CXX) g++ options: -O3 -march=znver2 -rdynamic -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 4 8 12 16 20 SE +/- 0.14, N = 15 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 15.35 17.29 14.38 -lomp - MIN: 14.29 / MAX: 18.88 -lgomp - MIN: 16.89 / MAX: 19.32 -lomp - MIN: 13.96 / MAX: 16.87 1. (CXX) g++ options: -O3 -march=znver2 -rdynamic -lpthread
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 8 16 24 32 40 SE +/- 0.42, N = 15 SE +/- 0.30, N = 3 SE +/- 0.31, N = 3 36.60 30.89 32.03 -lomp - MIN: 32.93 / MAX: 48.08 -lgomp - MIN: 30.04 / MAX: 50.21 -lomp - MIN: 30.86 / MAX: 35.2 1. (CXX) g++ options: -O3 -march=znver2 -rdynamic -lpthread
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Thorough LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 8.32 9.61 8.16 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 2 4 6 8 10 SE +/- 0.008, N = 3 SE +/- 0.003, N = 3 SE +/- 0.008, N = 3 7.655 8.861 7.546 1. (CC) gcc options: -fvisibility=hidden -O3 -march=znver2 -pthread -lm -ljpeg
oneDNN This is a test of the Intel oneDNN 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. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 0.4403 0.8806 1.3209 1.7612 2.2015 SE +/- 0.01023, N = 3 SE +/- 0.01336, N = 3 SE +/- 0.00186, N = 3 1.69390 1.95695 1.66772 -fopenmp=libomp - MIN: 1.63 -fopenmp - MIN: 1.87 -fopenmp=libomp - MIN: 1.61 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 0.2645 0.529 0.7935 1.058 1.3225 SE +/- 0.00137, N = 3 SE +/- 0.00350, N = 3 SE +/- 0.00275, N = 3 1.03137 1.17556 1.00926 -fopenmp=libomp - MIN: 0.97 -fopenmp - MIN: 1.13 -fopenmp=libomp - MIN: 0.95 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -pie -lpthread -ldl
AOBench AOBench is a lightweight ambient occlusion renderer, written in C. The test profile is using a size of 2048 x 2048. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better AOBench Size: 2048 x 2048 - Total Time LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 10 20 30 40 50 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 41.66 35.78 37.76 1. (CC) gcc options: -lm -O3 -march=znver2
oneDNN This is a test of the Intel oneDNN 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. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 4 8 12 16 20 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 13.46 13.88 11.92 -fopenmp=libomp - MIN: 13.14 -fopenmp - MIN: 13.35 -fopenmp=libomp - MIN: 11.65 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -pie -lpthread -ldl
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 5 10 15 20 25 SE +/- 0.13, N = 15 SE +/- 0.12, N = 3 SE +/- 0.34, N = 3 17.85 19.46 17.02 -lomp - MIN: 16.89 / MAX: 21.04 -lgomp - MIN: 18.87 / MAX: 31.76 -lomp - MIN: 16.39 / MAX: 20.11 1. (CXX) g++ options: -O3 -march=znver2 -rdynamic -lpthread
TSCP This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better TSCP 1.81 AI Chess Performance LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 200K 400K 600K 800K 1000K SE +/- 582.00, N = 5 SE +/- 1467.20, N = 5 SE +/- 471.20, N = 5 1143642 1007283 1138442 1. (CC) gcc options: -O3 -march=znver2 -march=native
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 1.8.2 Speed: Speed 0 LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 2 4 6 8 10 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 5.96 6.27 6.65 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -march=znver2 -fPIC -U_FORTIFY_SOURCE -std=c++11
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Exhaustive LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 16 32 48 64 80 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 67.17 73.46 66.04 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Basis Universal Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 2 + RDO Post-Processing LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 200 400 600 800 1000 SE +/- 0.24, N = 3 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 837.54 755.52 833.54 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -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 1.8.2 Speed: Speed 5 LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 5 10 15 20 25 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 18.23 19.03 20.12 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -march=znver2 -fPIC -U_FORTIFY_SOURCE -std=c++11
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 3 6 9 12 15 SE +/- 0.12, N = 15 SE +/- 0.09, N = 3 SE +/- 0.15, N = 3 13.19 13.12 11.99 -lomp - MIN: 12.17 / MAX: 23.53 -lgomp - MIN: 12.79 / MAX: 15.11 -lomp - MIN: 11.71 / MAX: 14.27 1. (CXX) g++ options: -O3 -march=znver2 -rdynamic -lpthread
oneDNN This is a test of the Intel oneDNN 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. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 0.4904 0.9808 1.4712 1.9616 2.452 SE +/- 0.00233, N = 3 SE +/- 0.00145, N = 3 SE +/- 0.00112, N = 3 2.05539 2.17957 1.99141 -fopenmp=libomp - MIN: 1.96 -fopenmp - MIN: 2.05 -fopenmp=libomp - MIN: 1.92 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -pie -lpthread -ldl
Darmstadt Automotive Parallel Heterogeneous Suite DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: NDT Mapping LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 200 400 600 800 1000 SE +/- 2.29, N = 3 SE +/- 2.97, N = 3 SE +/- 1.07, N = 3 945.32 874.54 923.68 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
Stockfish This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 12 Total Time LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 13M 26M 39M 52M 65M SE +/- 877956.02, N = 4 SE +/- 872585.44, N = 3 SE +/- 379890.17, N = 3 62434784 58347386 62375605 -flto=thin -flto -flto=jobserver -flto=thin 1. (CXX) g++ options: -m64 -lpthread -O3 -march=znver2 -fno-exceptions -std=c++17 -pedantic -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2
oneDNN This is a test of the Intel oneDNN 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. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 0.4476 0.8952 1.3428 1.7904 2.238 SE +/- 0.00691, N = 3 SE +/- 0.00392, N = 3 SE +/- 0.00189, N = 3 1.98927 1.94380 1.87485 -fopenmp=libomp - MIN: 1.9 -fopenmp - MIN: 1.82 -fopenmp=libomp - MIN: 1.82 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -pie -lpthread -ldl
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: PSNR/SSIM Optimized - Input: Bosphorus 1080p LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 80 160 240 320 400 SE +/- 1.74, N = 3 SE +/- 1.42, N = 3 SE +/- 0.54, N = 3 365.57 348.24 368.17 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
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 LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 300 600 900 1200 1500 SE +/- 2.40, N = 3 SE +/- 1.00, N = 3 SE +/- 4.26, N = 3 1323 1295 1368 1. (CC) gcc options: -fopenmp -O3 -march=znver2 -pthread -ljpeg -lX11 -lz -lm -lpthread
x265 This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 22.44 22.83 23.69 1. (CXX) g++ options: -O3 -march=znver2 -rdynamic -lpthread -lrt -ldl -lnuma
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 10 20 30 40 50 SE +/- 0.12, N = 3 SE +/- 0.12, N = 3 SE +/- 0.01, N = 3 42.38 44.38 42.70 1. (CC) gcc options: -fvisibility=hidden -O3 -march=znver2 -pthread -lm -ljpeg
RNNoise RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 5 10 15 20 25 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 21.54 21.72 20.76 1. (CC) gcc options: -O3 -march=znver2 -pedantic -fvisibility=hidden
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 7 14 21 28 35 SE +/- 0.19, N = 15 SE +/- 0.12, N = 3 SE +/- 0.15, N = 3 30.70 29.47 29.38 -lomp - MIN: 29.08 / MAX: 40.6 -lgomp - MIN: 28.89 / MAX: 31.49 -lomp - MIN: 28.77 / MAX: 31.68 1. (CXX) g++ options: -O3 -march=znver2 -rdynamic -lpthread
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 0.0216 0.0432 0.0648 0.0864 0.108 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 0.094 0.096 0.092 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=znver2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
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: Visual Quality Optimized - Input: Bosphorus 1080p LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 60 120 180 240 300 SE +/- 1.68, N = 3 SE +/- 1.18, N = 3 SE +/- 0.90, N = 3 286.24 279.73 291.22 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
SciMark This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Composite LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 600 1200 1800 2400 3000 SE +/- 7.04, N = 3 SE +/- 14.97, N = 3 SE +/- 43.99, N = 3 2673.79 2759.35 2779.62 1. (CC) gcc options: -O3 -march=znver2 -lm
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 LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 20 40 60 80 100 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 SE +/- 0.04, N = 3 93.84 94.28 90.76 -mabm 1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -O3 -std=c99 -pedantic -march=znver2 -lm
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Only LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 120K 240K 360K 480K 600K SE +/- 4278.21, N = 3 SE +/- 4440.25, N = 3 SE +/- 798.75, N = 3 530684 521332 541314 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=znver2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
x264 This is a simple test of the x264 encoder run on the CPU (OpenCL support disabled) with a sample video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better x264 2019-12-17 H.264 Video Encoding LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 30 60 90 120 150 SE +/- 0.59, N = 3 SE +/- 1.24, N = 3 SE +/- 0.67, N = 3 146.43 149.35 151.92 -mstack-alignment=64 -mstack-alignment=64 1. (CC) gcc options: -ldl -m64 -lm -lpthread -O3 -ffast-math -march=znver2 -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
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 0.7.0 Video Input: Summer Nature 1080p LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 130 260 390 520 650 SE +/- 0.95, N = 3 SE +/- 0.36, N = 3 SE +/- 2.09, N = 3 584.65 567.42 588.62 MIN: 337.56 / MAX: 641.35 MIN: 337.19 / MAX: 625.71 MIN: 345.64 / MAX: 651.08 1. (CC) gcc options: -O3 -march=znver2 -pthread
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 0.0603 0.1206 0.1809 0.2412 0.3015 SE +/- 0.000, N = 3 SE +/- 0.003, N = 5 SE +/- 0.001, N = 3 0.265 0.268 0.259 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=znver2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Write LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 800 1600 2400 3200 4000 SE +/- 3.59, N = 3 SE +/- 46.08, N = 5 SE +/- 18.01, N = 3 3772 3739 3865 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=znver2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
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 LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 80 160 240 320 400 SE +/- 1.70, N = 3 SE +/- 2.15, N = 3 SE +/- 1.39, N = 3 363.72 354.98 366.61 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
x265 This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 1080p LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 11 22 33 44 55 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.14, N = 3 50.02 49.05 50.60 1. (CXX) g++ options: -O3 -march=znver2 -rdynamic -lpthread -lrt -ldl -lnuma
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 0.0079 0.0158 0.0237 0.0316 0.0395 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.035 0.035 0.034 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=znver2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Only LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 6K 12K 18K 24K 30K SE +/- 252.07, N = 3 SE +/- 137.51, N = 3 SE +/- 73.04, N = 3 28921 28919 29645 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=znver2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 70 140 210 280 350 SE +/- 1.92, N = 3 SE +/- 0.20, N = 3 SE +/- 0.66, N = 3 311.68 305.13 304.18 -fopenmp=libomp - MIN: 306.99 / MAX: 314.32 -fopenmp - MIN: 304.36 / MAX: 306.06 -fopenmp=libomp - MIN: 302.78 / MAX: 315.91 1. (CXX) g++ options: -O3 -march=znver2 -pthread -fvisibility=hidden -rdynamic -ldl
NGINX Benchmark This is a test of ab, which is the Apache Benchmark program running against nginx. This test profile measures how many requests per second a given system can sustain when carrying out 2,000,000 requests with 500 requests being carried out concurrently. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Requests Per Second, More Is Better NGINX Benchmark 1.9.9 Static Web Page Serving LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 7K 14K 21K 28K 35K SE +/- 159.74, N = 3 SE +/- 381.73, N = 4 SE +/- 254.59, N = 15 30676.68 30658.67 31368.86 1. (CC) gcc options: -lpthread -lcrypt -lcrypto -lz -O3 -march=native -march=znver2
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 0.7.0 Video Input: Summer Nature 4K LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 60 120 180 240 300 SE +/- 1.08, N = 3 SE +/- 0.57, N = 3 SE +/- 1.22, N = 3 275.41 269.72 274.20 MIN: 155.99 / MAX: 295.35 MIN: 160.12 / MAX: 288.9 MIN: 151.98 / MAX: 293.44 1. (CC) gcc options: -O3 -march=znver2 -pthread
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: Rotate LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 120 240 360 480 600 SE +/- 5.24, N = 3 SE +/- 1.00, N = 3 527 535 525 1. (CC) gcc options: -fopenmp -O3 -march=znver2 -pthread -ljpeg -lX11 -lz -lm -lpthread
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 0.7.0 Video Input: Chimera 1080p LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 120 240 360 480 600 SE +/- 0.97, N = 3 SE +/- 1.05, N = 3 SE +/- 0.49, N = 3 572.19 564.96 575.22 MIN: 404.8 / MAX: 726.7 MIN: 399.64 / MAX: 724.27 MIN: 414.12 / MAX: 729.95 1. (CC) gcc options: -O3 -march=znver2 -pthread
oneDNN This is a test of the Intel oneDNN 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. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 0.8378 1.6756 2.5134 3.3512 4.189 SE +/- 0.00775, N = 3 SE +/- 0.01624, N = 3 SE +/- 0.01101, N = 3 3.72354 3.68073 3.66096 -fopenmp=libomp - MIN: 3.57 -fopenmp - MIN: 3.53 -fopenmp=libomp - MIN: 3.49 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -pie -lpthread -ldl
Basis Universal Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 3 LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 25.32 25.52 25.21 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 2 LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 16.49 16.51 16.32 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Write LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 700 1400 2100 2800 3500 SE +/- 4.43, N = 3 SE +/- 5.86, N = 3 SE +/- 5.71, N = 3 3443 3453 3413 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=znver2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 14.53 14.49 14.66 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=znver2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 20.72 20.80 20.90 1. (CC) gcc options: -fvisibility=hidden -O3 -march=znver2 -pthread -lm -ljpeg
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 3 6 9 12 15 SE +/- 0.18, N = 15 SE +/- 0.14, N = 3 SE +/- 0.01, N = 3 10.83 9.46 8.94 -lomp - MIN: 9.15 / MAX: 60.4 -lgomp - MIN: 9.17 / MAX: 11.49 -lomp - MIN: 8.81 / MAX: 13.49 1. (CXX) g++ options: -O3 -march=znver2 -rdynamic -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 3 6 9 12 15 SE +/- 0.02, N = 15 SE +/- 0.68, N = 3 SE +/- 0.12, N = 3 7.35 10.59 6.25 -lomp - MIN: 7.09 / MAX: 11.01 -lgomp - MIN: 9.42 / MAX: 13.72 -lomp - MIN: 5.96 / MAX: 6.53 1. (CXX) g++ options: -O3 -march=znver2 -rdynamic -lpthread
OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: GET LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 500K 1000K 1500K 2000K 2500K SE +/- 49885.99, N = 15 SE +/- 18838.90, N = 3 SE +/- 30693.11, N = 15 2122749.43 1809976.83 1874175.91 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3 -march=znver2
OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: LPUSH LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 300K 600K 900K 1200K 1500K SE +/- 22719.73, N = 15 SE +/- 21030.89, N = 15 SE +/- 18763.42, N = 3 1304842.23 1212068.06 1380024.29 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3 -march=znver2
oneDNN This is a test of the Intel oneDNN 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. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 20 40 60 80 100 SE +/- 2.37, N = 15 SE +/- 0.80, N = 3 SE +/- 0.32, N = 3 64.99 79.25 30.72 -fopenmp=libomp - MIN: 50.95 -fopenmp - MIN: 77.35 -fopenmp=libomp - MIN: 29.35 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -pie -lpthread -ldl
Geometric Mean Of All Test Results OpenBenchmarking.org Geometric Mean, More Is Better Geometric Mean Of All Test Results Result Composite - EPYC 7502 AOCC 2.3 Compiler Comparison LLVM Clang 11 GCC 10.2 AMD AOCC 2.3 30 60 90 120 150 115.39 113.07 121.37
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Number Of First Place Finishes LLVM Clang 11 11 [12.4%] GCC 10.2 17 [19.1%] AMD AOCC 2.3 61 [68.5%] Number Of First Place Finishes Wins - 89 Tests OpenBenchmarking.org
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Number Of Last Place Finishes LLVM Clang 11 23 [25.8%] GCC 10.2 56 [62.9%] AMD AOCC 2.3 10 [11.2%] Number Of Last Place Finishes Losses - 89 Tests OpenBenchmarking.org
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GCC 10.2 Processor: AMD EPYC 7502 32-Core @ 2.50GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: ASPEED, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-31-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Environment Notes: CXXFLAGS="-O3 -march=znver2" CFLAGS="-O3 -march=znver2"Compiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x830101cSecurity Notes: 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
Testing initiated at 7 December 2020 16:58 by user phoronix.
LLVM Clang 11 Processor: AMD EPYC 7502 32-Core @ 2.50GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: ASPEED, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-31-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, Compiler: Clang 11.0.0-2Target:, File-System: ext4, Screen Resolution: 1920x1080
Environment Notes: CXXFLAGS="-O3 -march=znver2" CFLAGS="-O3 -march=znver2"Processor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x830101cSecurity Notes: 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
Testing initiated at 8 December 2020 06:09 by user phoronix.
AMD AOCC 2.3 Processor: AMD EPYC 7502 32-Core @ 2.50GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: ASPEED, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-31-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, Compiler: Clang 11.0.0, File-System: ext4, Screen Resolution: 1920x1080
Environment Notes: CXXFLAGS="-O3 -march=znver2" CFLAGS="-O3 -march=znver2"Compiler Notes: Optimized build with assertions; Default target: x86_64-unknown-linux-gnu; Host CPU: znver2Processor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x830101cSecurity Notes: 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
Testing initiated at 7 December 2020 10:27 by user phoronix.