Intel Core i5-10600K testing with a ASUS PRIME Z490M-PLUS (1001 BIOS) and ASUS Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
Linux 5.4 Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z490M-PLUS (1001 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: G237HL, Network: Intel
OS: Ubuntu 20.04, Kernel: 5.4.0-45-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --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 -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 3.8.5Security Notes: itlb_multihit: KVM: Vulnerable + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Linux 5.9 OS: Ubuntu 20.04, Kernel: 5.9.0-050900daily20201012-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --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 -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 3.8.5Security Notes: itlb_multihit: KVM: Mitigation of VMX unsupported + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Linux 5.8 OS: Ubuntu 20.04, Kernel: 5.8.14-050814-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
RealSR-NCNN RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: No Linux 5.4 Linux 5.9 Linux 5.8 60 120 180 240 300 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 1.08, N = 3 45.14 258.52 259.50
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: Vulkan GPU - Model: blazeface Linux 5.4 Linux 5.9 Linux 5.8 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 6.29 2.15 2.10 MIN: 6.06 / MAX: 6.85 MIN: 2.1 / MAX: 2.31 MIN: 1.99 / MAX: 2.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 Linux 5.4 Linux 5.9 Linux 5.8 9 18 27 36 45 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 38.01 12.74 12.74 MIN: 33 / MAX: 39.12 MIN: 12.48 / MAX: 13 MIN: 12.52 / MAX: 13.16 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mnasnet Linux 5.4 Linux 5.9 Linux 5.8 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 35.11 11.80 11.80 MIN: 31.42 / MAX: 36.15 MIN: 11.73 / MAX: 12.01 MIN: 11.75 / MAX: 12.02 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 Linux 5.4 Linux 5.9 Linux 5.8 8 16 24 32 40 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 33.77 11.43 11.42 MIN: 31.72 / MAX: 35.15 MIN: 11.21 / MAX: 11.77 MIN: 11.29 / MAX: 11.73 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 Linux 5.4 Linux 5.9 Linux 5.8 15 30 45 60 75 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 68.27 23.82 23.82 MIN: 31.3 / MAX: 72.58 MIN: 23.14 / MAX: 24.03 MIN: 23.07 / MAX: 23.99 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: googlenet Linux 5.4 Linux 5.9 Linux 5.8 20 40 60 80 100 SE +/- 1.47, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 89.06 32.48 32.45 MIN: 32.13 / MAX: 96.4 MIN: 31.73 / MAX: 32.72 MIN: 31.64 / MAX: 32.88 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mobilenet Linux 5.4 Linux 5.9 Linux 5.8 20 40 60 80 100 SE +/- 0.16, N = 3 SE +/- 0.19, N = 3 SE +/- 0.22, N = 3 96.97 35.68 35.34 MIN: 74.99 / MAX: 110.38 MIN: 34.93 / MAX: 36.92 MIN: 34.32 / MAX: 37.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet18 Linux 5.4 Linux 5.9 Linux 5.8 20 40 60 80 100 SE +/- 1.51, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 76.51 28.54 28.52 MIN: 28.22 / MAX: 87.56 MIN: 28.01 / MAX: 28.76 MIN: 28.25 / MAX: 28.62 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 Linux 5.4 Linux 5.9 Linux 5.8 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 23.46 8.88 9.00 MIN: 21.71 / MAX: 23.84 MIN: 7.48 / MAX: 9.83 MIN: 7.4 / MAX: 9.5 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: squeezenet Linux 5.4 Linux 5.9 Linux 5.8 20 40 60 80 100 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 102.03 39.95 39.93 MIN: 76.72 / MAX: 113.73 MIN: 39.55 / MAX: 52.73 MIN: 39.58 / MAX: 40.84 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: alexnet Linux 5.4 Linux 5.9 Linux 5.8 20 40 60 80 100 SE +/- 0.43, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 101.01 45.88 46.04 MIN: 52.66 / MAX: 113.44 MIN: 43.28 / MAX: 49.27 MIN: 43.93 / MAX: 50.02 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet50 Linux 5.4 Linux 5.9 Linux 5.8 30 60 90 120 150 SE +/- 0.21, N = 3 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 135.93 68.81 68.74 MIN: 98.93 / MAX: 147.76 MIN: 68.45 / MAX: 69.03 MIN: 68.1 / MAX: 69.18 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny Linux 5.4 Linux 5.9 Linux 5.8 30 60 90 120 150 SE +/- 0.39, N = 3 SE +/- 0.05, N = 3 SE +/- 0.76, N = 3 135.27 72.91 72.28 MIN: 83.79 / MAX: 155.83 MIN: 59.48 / MAX: 76.49 MIN: 66.2 / MAX: 93.52 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: vgg16 Linux 5.4 Linux 5.9 Linux 5.8 50 100 150 200 250 SE +/- 0.63, N = 3 SE +/- 0.74, N = 3 SE +/- 0.49, N = 3 232.26 187.28 188.88 MIN: 206.96 / MAX: 251.85 MIN: 184.56 / MAX: 190.21 MIN: 186.4 / MAX: 191.25 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Apache CouchDB This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 Linux 5.4 Linux 5.9 Linux 5.8 20 40 60 80 100 SE +/- 0.47, N = 3 SE +/- 0.14, N = 3 SE +/- 0.35, N = 3 89.41 81.93 82.15 1. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
VkFFT VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 2020-09-29 Linux 5.4 Linux 5.9 Linux 5.8 300 600 900 1200 1500 SE +/- 0.58, N = 3 SE +/- 1.00, N = 3 1163 1258 1258
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 Linux 5.4 Linux 5.9 Linux 5.8 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 38.91 37.34 37.36 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
MPV MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better MPV Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only Linux 5.4 Linux 5.9 Linux 5.8 60 120 180 240 300 SE +/- 0.35, N = 3 SE +/- 0.19, N = 3 SE +/- 0.15, N = 3 264.63 274.76 275.29 MIN: 235.29 / MAX: 272.74 MIN: 244.9 / MAX: 279.08 MIN: 250 / MAX: 285.72 1. mpv 0.32.0
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 Linux 5.4 Linux 5.9 Linux 5.8 7K 14K 21K 28K 35K SE +/- 81.25, N = 3 SE +/- 208.37, N = 3 SE +/- 181.24, N = 3 32475 31397 31841 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency Linux 5.4 Linux 5.9 Linux 5.8 0.0072 0.0144 0.0216 0.0288 0.036 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.031 0.032 0.031 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Only Linux 5.4 Linux 5.9 Linux 5.8 6K 12K 18K 24K 30K SE +/- 228.47, N = 3 SE +/- 170.81, N = 3 SE +/- 237.17, N = 3 28548 27725 27863 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency Linux 5.4 Linux 5.9 Linux 5.8 0.0081 0.0162 0.0243 0.0324 0.0405 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.035 0.036 0.036 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Firefox Linux 5.4 Linux 5.9 Linux 5.8 20 40 60 80 100 SE +/- 0.06, N = 3 SE +/- 0.52, N = 3 SE +/- 0.63, N = 3 104.77 107.75 106.01 1. Linux 5.4: firefox 80.0 2. Linux 5.9: firefox 81.0 3. Linux 5.8: firefox 80.0
MPV MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better MPV Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only Linux 5.4 Linux 5.9 Linux 5.8 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 92.47 95.07 95.07 MIN: 88.89 / MAX: 94.49 MIN: 92.31 / MAX: 96.78 MIN: 93.02 / MAX: 96 1. mpv 0.32.0
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Runs Per Minute, More Is Better Selenium Benchmark: Speedometer - Browser: Firefox Linux 5.4 Linux 5.9 Linux 5.8 20 40 60 80 100 SE +/- 0.31, N = 3 SE +/- 0.38, N = 3 SE +/- 0.33, N = 3 101.6 99.4 102.0 1. Linux 5.4: firefox 80.0 2. Linux 5.9: firefox 81.0 3. Linux 5.8: firefox 80.0
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: 100 - Clients: 100 - Mode: Read Write Linux 5.4 Linux 5.9 Linux 5.8 4K 8K 12K 16K 20K SE +/- 58.33, N = 3 SE +/- 67.76, N = 3 SE +/- 34.07, N = 3 17447 17008 17279 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency Linux 5.4 Linux 5.9 Linux 5.8 1.3235 2.647 3.9705 5.294 6.6175 SE +/- 0.020, N = 3 SE +/- 0.023, N = 3 SE +/- 0.011, N = 3 5.734 5.882 5.789 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
LeelaChessZero LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Random Linux 5.4 Linux 5.9 Linux 5.8 60K 120K 180K 240K 300K SE +/- 364.31, N = 3 SE +/- 119.00, N = 3 SE +/- 188.30, N = 3 251856 258347 258199 1. (CXX) g++ options: -flto -pthread
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU Linux 5.4 Linux 5.9 Linux 5.8 0.2925 0.585 0.8775 1.17 1.4625 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 1.30 1.27 1.29
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM imageConvolute - Browser: Firefox Linux 5.4 Linux 5.9 Linux 5.8 7 14 21 28 35 SE +/- 0.00, N = 3 SE +/- 0.20, N = 3 SE +/- 0.44, N = 3 28.4 29.0 28.9 1. Linux 5.4: firefox 80.0 2. Linux 5.9: firefox 81.0 3. Linux 5.8: firefox 80.0
Kripke Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.4 Linux 5.4 Linux 5.9 Linux 5.8 6M 12M 18M 24M 30M SE +/- 159970.02, N = 3 SE +/- 349379.84, N = 5 SE +/- 279264.45, N = 9 26864383 26345924 26420760 1. (CXX) g++ options: -O3 -fopenmp
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Runs / Minute, More Is Better Selenium Benchmark: StyleBench - Browser: Firefox Linux 5.4 Linux 5.9 Linux 5.8 20 40 60 80 100 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 107 109 108 1. Linux 5.4: firefox 80.0 2. Linux 5.9: firefox 81.0 3. Linux 5.8: firefox 80.0
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: CanvasMark - Browser: Firefox Linux 5.4 Linux 5.9 Linux 5.8 3K 6K 9K 12K 15K SE +/- 42.91, N = 3 SE +/- 47.74, N = 3 SE +/- 147.15, N = 3 13177 13351 13138 1. Linux 5.4: firefox 80.0 2. Linux 5.9: firefox 81.0 3. Linux 5.8: firefox 80.0
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 Linux 5.4 Linux 5.9 Linux 5.8 1.0125 2.025 3.0375 4.05 5.0625 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 4.50 4.43 4.46 MIN: 4.36 / MAX: 6.54 MIN: 4.33 / MAX: 5.63 MIN: 4.32 / MAX: 5.6 1. (CXX) g++ options: -O3 -rdynamic -lgomp -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: 100 - Clients: 100 - Mode: Read Only Linux 5.4 Linux 5.9 Linux 5.8 40K 80K 120K 160K 200K SE +/- 225.82, N = 3 SE +/- 156.49, N = 3 SE +/- 98.89, N = 3 186035 183143 185300 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Incompact3D Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Incompact3D 2020-09-17 Input: Cylinder Linux 5.4 Linux 5.9 Linux 5.8 90 180 270 360 450 SE +/- 7.71, N = 2 SE +/- 0.29, N = 3 SE +/- 4.55, N = 3 418.05 411.66 416.49 1. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
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: shufflenet-v2 Linux 5.4 Linux 5.9 Linux 5.8 0.756 1.512 2.268 3.024 3.78 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 3.35 3.31 3.36 MIN: 3.27 / MAX: 5.21 MIN: 3.2 / MAX: 13.68 MIN: 3.17 / MAX: 4.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet Linux 5.4 Linux 5.9 Linux 5.8 5 10 15 20 25 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 18.83 18.68 18.55 MIN: 18.53 / MAX: 27.43 MIN: 18.55 / MAX: 20.7 MIN: 18.37 / MAX: 19.95 1. (CXX) g++ options: -O3 -rdynamic -lgomp -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: 100 - Clients: 100 - Mode: Read Only - Average Latency Linux 5.4 Linux 5.9 Linux 5.8 0.1229 0.2458 0.3687 0.4916 0.6145 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.538 0.546 0.540 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
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 Linux 5.4 Linux 5.9 Linux 5.8 0.315 0.63 0.945 1.26 1.575 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 1.40 1.38 1.39 MIN: 1.37 / MAX: 2.32 MIN: 1.36 / MAX: 2.76 MIN: 1.35 / MAX: 1.45 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU Linux 5.4 Linux 5.9 Linux 5.8 0.1643 0.3286 0.4929 0.6572 0.8215 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.72 0.73 0.72
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 Linux 5.4 Linux 5.9 Linux 5.8 0.0511 0.1022 0.1533 0.2044 0.2555 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 0.224 0.227 0.224 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
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-v2-v2 - Model: mobilenet-v2 Linux 5.4 Linux 5.9 Linux 5.8 1.2128 2.4256 3.6384 4.8512 6.064 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 5.39 5.32 5.37 MIN: 5.18 / MAX: 7.59 MIN: 5.15 / MAX: 6.51 MIN: 5.15 / MAX: 6.5 1. (CXX) g++ options: -O3 -rdynamic -lgomp -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, Lossless, Highest Compression Linux 5.4 Linux 5.9 Linux 5.8 8 16 24 32 40 SE +/- 0.41, N = 3 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 33.61 33.34 33.18 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
InfluxDB This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 Linux 5.4 Linux 5.9 Linux 5.8 300K 600K 900K 1200K 1500K SE +/- 1342.52, N = 3 SE +/- 2047.84, N = 3 SE +/- 1485.67, N = 3 1508889.9 1490324.3 1489793.3
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 Linux 5.4 Linux 5.9 Linux 5.8 50K 100K 150K 200K 250K SE +/- 213.59, N = 3 SE +/- 39.90, N = 3 SE +/- 730.56, N = 3 223535 220709 223440 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
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: efficientnet-b0 Linux 5.4 Linux 5.9 Linux 5.8 2 4 6 8 10 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 6.86 6.78 6.86 MIN: 6.72 / MAX: 8.58 MIN: 6.71 / MAX: 8.32 MIN: 6.75 / MAX: 8.38 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet Linux 5.4 Linux 5.9 Linux 5.8 4 8 12 16 20 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 16.32 16.13 16.18 MIN: 16.09 / MAX: 17.39 MIN: 16.05 / MAX: 16.64 MIN: 16.04 / MAX: 24.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet Linux 5.4 Linux 5.9 Linux 5.8 0.981 1.962 2.943 3.924 4.905 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 4.36 4.31 4.33 MIN: 4.29 / MAX: 6.21 MIN: 4.19 / MAX: 5.41 MIN: 4.21 / MAX: 5.47 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
LeelaChessZero LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Eigen Linux 5.4 Linux 5.9 Linux 5.8 200 400 600 800 1000 SE +/- 14.01, N = 3 SE +/- 9.67, N = 3 SE +/- 11.14, N = 3 1080 1090 1092 1. (CXX) g++ options: -flto -pthread
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: WebXPRT - Browser: Firefox Linux 5.4 Linux 5.9 Linux 5.8 60 120 180 240 300 276 277 274 1. Linux 5.4: firefox 80.0 2. Linux 5.9: firefox 81.0 3. Linux 5.8: firefox 80.0
LeelaChessZero LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: BLAS Linux 5.4 Linux 5.9 Linux 5.8 80 160 240 320 400 SE +/- 2.73, N = 3 SE +/- 5.90, N = 3 SE +/- 3.51, N = 3 375 371 375 1. (CXX) g++ options: -flto -pthread
InfluxDB This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 Linux 5.4 Linux 5.9 Linux 5.8 300K 600K 900K 1200K 1500K SE +/- 626.78, N = 3 SE +/- 3106.88, N = 3 SE +/- 1845.14, N = 3 1501065.5 1487150.7 1485142.5
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: ARES-6 - Browser: Firefox Linux 5.4 Linux 5.9 Linux 5.8 9 18 27 36 45 SE +/- 0.21, N = 3 SE +/- 0.25, N = 3 SE +/- 0.12, N = 3 36.59 36.69 36.97 1. Linux 5.4: firefox 80.0 2. Linux 5.9: firefox 81.0 3. Linux 5.8: firefox 80.0
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: resnet-v2-50 Linux 5.4 Linux 5.9 Linux 5.8 8 16 24 32 40 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 32.33 32.65 32.63 MIN: 31.73 / MAX: 44.73 MIN: 31.92 / MAX: 59.37 MIN: 32.18 / MAX: 125.71 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
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 Write Linux 5.4 Linux 5.9 Linux 5.8 200 400 600 800 1000 SE +/- 1.08, N = 3 SE +/- 0.75, N = 3 SE +/- 1.66, N = 3 922 913 919 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU Linux 5.4 Linux 5.9 Linux 5.8 0.4748 0.9496 1.4244 1.8992 2.374 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 2.11 2.10 2.09
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 Linux 5.4 Linux 5.9 Linux 5.8 0.2464 0.4928 0.7392 0.9856 1.232 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 1.085 1.095 1.088 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
eSpeak-NG Speech Engine This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Linux 5.4 Linux 5.9 Linux 5.8 6 12 18 24 30 SE +/- 0.10, N = 4 SE +/- 0.01, N = 4 SE +/- 0.01, N = 4 26.67 26.79 26.91 1. (CC) gcc options: -O2 -std=c99
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, Fewer Is Better Selenium Benchmark: PSPDFKit WASM - Browser: Firefox Linux 5.4 Linux 5.9 Linux 5.8 300 600 900 1200 1500 SE +/- 1.67, N = 3 SE +/- 9.87, N = 3 SE +/- 0.88, N = 3 1249 1248 1238 1. Linux 5.4: firefox 80.0 2. Linux 5.9: firefox 81.0 3. Linux 5.8: firefox 80.0
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: 100 - Clients: 50 - Mode: Read Only Linux 5.4 Linux 5.9 Linux 5.8 40K 80K 120K 160K 200K SE +/- 146.68, N = 3 SE +/- 1351.25, N = 3 SE +/- 1740.82, N = 3 189844 189413 191055 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
FFTE FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine Linux 5.4 Linux 5.9 Linux 5.8 7K 14K 21K 28K 35K SE +/- 228.14, N = 3 SE +/- 68.44, N = 3 SE +/- 21.07, N = 3 34978.80 34685.51 34709.26 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
GROMACS The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.3 Water Benchmark Linux 5.4 Linux 5.9 Linux 5.8 0.1908 0.3816 0.5724 0.7632 0.954 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 0.848 0.844 0.841 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
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 Linux 5.4 Linux 5.9 Linux 5.8 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 14.02 13.91 13.93 MIN: 13.91 / MAX: 14.99 MIN: 13.85 / MAX: 15.29 MIN: 13.86 / MAX: 14.53 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU Linux 5.4 Linux 5.9 Linux 5.8 0.2903 0.5806 0.8709 1.1612 1.4515 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.29 1.29 1.28
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 Linux 5.4 Linux 5.9 Linux 5.8 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 27.70 27.61 27.49 MIN: 27.45 / MAX: 28.81 MIN: 27.49 / MAX: 48.67 MIN: 27.38 / MAX: 28.86 1. (CXX) g++ options: -O3 -rdynamic -lgomp -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: 100 - Clients: 50 - Mode: Read Only - Average Latency Linux 5.4 Linux 5.9 Linux 5.8 0.0594 0.1188 0.1782 0.2376 0.297 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 0.263 0.264 0.262 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -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 Linux 5.4 Linux 5.9 Linux 5.8 0.4781 0.9562 1.4343 1.9124 2.3905 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.009, N = 3 2.110 2.113 2.125 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 Linux 5.4 Linux 5.9 Linux 5.8 0.7727 1.5454 2.3181 3.0908 3.8635 SE +/- 0.008, N = 3 SE +/- 0.008, N = 3 SE +/- 0.006, N = 3 3.424 3.434 3.410 MIN: 3.33 / MAX: 4.49 MIN: 3.38 / MAX: 5.14 MIN: 3.37 / MAX: 4.98 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
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: 100 - Clients: 50 - Mode: Read Write Linux 5.4 Linux 5.9 Linux 5.8 3K 6K 9K 12K 15K SE +/- 16.00, N = 3 SE +/- 26.90, N = 3 SE +/- 23.85, N = 3 13229 13138 13222 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -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 Linux 5.4 Linux 5.9 Linux 5.8 4 8 12 16 20 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 15.31 15.26 15.37 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
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: 100 - Clients: 50 - Mode: Read Write - Average Latency Linux 5.4 Linux 5.9 Linux 5.8 0.8564 1.7128 2.5692 3.4256 4.282 SE +/- 0.005, N = 3 SE +/- 0.008, N = 3 SE +/- 0.007, N = 3 3.780 3.806 3.782 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
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 Linux 5.4 Linux 5.9 Linux 5.8 14 28 42 56 70 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 60.34 60.24 59.96 MIN: 59.85 / MAX: 61.66 MIN: 60.1 / MAX: 61.29 MIN: 59.74 / MAX: 70.95 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: inception-v3 Linux 5.4 Linux 5.9 Linux 5.8 9 18 27 36 45 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 38.86 39.03 38.79 MIN: 38.4 / MAX: 50.79 MIN: 38.78 / MAX: 49.86 MIN: 38.44 / MAX: 51.17 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -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: googlenet Linux 5.4 Linux 5.9 Linux 5.8 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 15.05 14.96 15.03 MIN: 14.84 / MAX: 16.29 MIN: 14.81 / MAX: 15.69 MIN: 14.85 / MAX: 15.79 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: Kraken - Browser: Firefox Linux 5.4 Linux 5.9 Linux 5.8 160 320 480 640 800 SE +/- 4.48, N = 3 SE +/- 2.07, N = 3 SE +/- 3.62, N = 3 742.5 742.2 738.2 1. Linux 5.4: firefox 80.0 2. Linux 5.9: firefox 81.0 3. Linux 5.8: firefox 80.0
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 Linux 5.4 Linux 5.9 Linux 5.8 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 29.48 29.32 29.31 MIN: 29.07 / MAX: 30.92 MIN: 29.08 / MAX: 30.1 MIN: 29.07 / MAX: 30.96 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU Linux 5.4 Linux 5.9 Linux 5.8 1200 2400 3600 4800 6000 SE +/- 6.00, N = 3 SE +/- 16.23, N = 3 SE +/- 22.59, N = 3 5477.40 5455.65 5486.07
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 Linux 5.4 Linux 5.9 Linux 5.8 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 15.00 14.92 14.92 MIN: 14.82 / MAX: 16.06 MIN: 14.84 / MAX: 15.13 MIN: 14.82 / MAX: 15.21 1. (CXX) g++ options: -O3 -rdynamic -lgomp -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: 100 - Mode: Read Only Linux 5.4 Linux 5.9 Linux 5.8 50K 100K 150K 200K 250K SE +/- 137.05, N = 3 SE +/- 3040.02, N = 3 SE +/- 647.57, N = 3 216312 215226 215861 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU Linux 5.4 Linux 5.9 Linux 5.8 700 1400 2100 2800 3500 SE +/- 6.51, N = 3 SE +/- 8.04, N = 3 SE +/- 1.54, N = 3 3039.43 3054.02 3042.11
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU Linux 5.4 Linux 5.9 Linux 5.8 0.4725 0.945 1.4175 1.89 2.3625 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 2.09 2.10 2.09
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 Linux 5.4 Linux 5.9 Linux 5.8 1.276 2.552 3.828 5.104 6.38 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.008, N = 3 5.644 5.671 5.653 MIN: 5.52 / MAX: 7.79 MIN: 5.6 / MAX: 8.2 MIN: 5.62 / MAX: 7.8 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
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: 100 - Clients: 1 - Mode: Read Write Linux 5.4 Linux 5.9 Linux 5.8 200 400 600 800 1000 SE +/- 3.98, N = 3 SE +/- 1.32, N = 3 SE +/- 0.69, N = 3 842 839 838 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU Linux 5.4 Linux 5.9 Linux 5.8 1200 2400 3600 4800 6000 SE +/- 7.15, N = 3 SE +/- 28.44, N = 3 SE +/- 22.34, N = 3 5453.74 5435.03 5459.96
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Linux 5.4 Linux 5.9 Linux 5.8 10K 20K 30K 40K 50K SE +/- 28.11, N = 3 SE +/- 19.64, N = 3 SE +/- 38.04, N = 3 44951 44766 44750 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Jetstream - Browser: Firefox Linux 5.4 Linux 5.9 Linux 5.8 50 100 150 200 250 SE +/- 0.49, N = 3 SE +/- 0.30, N = 3 SE +/- 0.24, N = 3 237.62 237.59 236.56 1. Linux 5.4: firefox 80.0 2. Linux 5.9: firefox 81.0 3. Linux 5.8: firefox 80.0
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU Linux 5.4 Linux 5.9 Linux 5.8 400 800 1200 1600 2000 SE +/- 1.73, N = 3 SE +/- 17.32, N = 3 SE +/- 3.06, N = 3 1905.45 1897.05 1900.50
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: 100 - Mode: Read Only - Average Latency Linux 5.4 Linux 5.9 Linux 5.8 0.1046 0.2092 0.3138 0.4184 0.523 SE +/- 0.000, N = 3 SE +/- 0.006, N = 3 SE +/- 0.001, N = 3 0.463 0.465 0.463 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -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, Highest Compression Linux 5.4 Linux 5.9 Linux 5.8 2 4 6 8 10 SE +/- 0.015, N = 3 SE +/- 0.015, N = 3 SE +/- 0.001, N = 3 6.383 6.398 6.371 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
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: 100 - Clients: 1 - Mode: Read Write - Average Latency Linux 5.4 Linux 5.9 Linux 5.8 0.2684 0.5368 0.8052 1.0736 1.342 SE +/- 0.006, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 1.188 1.191 1.193 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -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: MobileNet v2 Linux 5.4 Linux 5.9 Linux 5.8 60 120 180 240 300 SE +/- 0.73, N = 3 SE +/- 0.29, N = 3 SE +/- 0.67, N = 3 297.60 296.40 297.46 MIN: 296.11 / MAX: 299.6 MIN: 295.26 / MAX: 306.53 MIN: 296 / MAX: 299.12 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU Linux 5.4 Linux 5.9 Linux 5.8 400 800 1200 1600 2000 SE +/- 3.74, N = 3 SE +/- 4.42, N = 3 SE +/- 8.35, N = 3 1889.00 1891.07 1896.05
Dolfyn Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics Linux 5.4 Linux 5.9 Linux 5.8 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 17.10 17.14 17.08
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 Linux 5.4 Linux 5.9 Linux 5.8 1.2917 2.5834 3.8751 5.1668 6.4585 SE +/- 0.017, N = 3 SE +/- 0.017, N = 3 SE +/- 0.026, N = 3 5.741 5.732 5.722 MIN: 5.61 / MAX: 17.94 MIN: 5.68 / MAX: 18.29 MIN: 5.64 / MAX: 13.66 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
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 Linux 5.4 Linux 5.9 Linux 5.8 200 400 600 800 1000 SE +/- 2.46, N = 3 SE +/- 1.07, N = 3 SE +/- 0.69, N = 3 997 999 1000 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU Linux 5.4 Linux 5.9 Linux 5.8 700 1400 2100 2800 3500 SE +/- 18.26, N = 3 SE +/- 6.78, N = 3 SE +/- 8.27, N = 3 3056.10 3064.73 3061.54
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 Linux 5.4 Linux 5.9 Linux 5.8 300K 600K 900K 1200K 1500K SE +/- 2788.70, N = 5 SE +/- 842.80, N = 5 SE +/- 3875.16, N = 5 1520666 1522329 1524895 1. (CC) gcc options: -O3 -march=native
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 Write - Average Latency Linux 5.4 Linux 5.9 Linux 5.8 11 22 33 44 55 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 50.14 50.06 50.00 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency Linux 5.4 Linux 5.9 Linux 5.8 20 40 60 80 100 SE +/- 0.12, N = 3 SE +/- 0.01, N = 3 SE +/- 0.18, N = 3 102.42 102.14 102.32 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 Linux 5.4 Linux 5.9 Linux 5.8 20K 40K 60K 80K 100K SE +/- 43.55, N = 3 SE +/- 65.68, N = 3 SE +/- 22.82, N = 3 89682 89519 89439 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Geometric Mean, More Is Better Selenium Benchmark: Octane - Browser: Firefox Linux 5.4 Linux 5.9 Linux 5.8 9K 18K 27K 36K 45K SE +/- 76.54, N = 3 SE +/- 139.95, N = 3 SE +/- 127.94, N = 3 40665 40762 40732 1. Linux 5.4: firefox 80.0 2. Linux 5.9: firefox 81.0 3. Linux 5.8: firefox 80.0
GPAW GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GPAW 20.1 Input: Carbon Nanotube Linux 5.4 Linux 5.9 Linux 5.8 120 240 360 480 600 SE +/- 0.36, N = 3 SE +/- 0.14, N = 3 SE +/- 0.22, N = 3 576.45 575.29 575.10 1. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 Linux 5.4 Linux 5.9 Linux 5.8 50K 100K 150K 200K 250K SE +/- 116.96, N = 3 SE +/- 39.84, N = 3 SE +/- 101.30, N = 3 231285 231407 230875 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
InfluxDB This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 Linux 5.4 Linux 5.9 Linux 5.8 300K 600K 900K 1200K 1500K SE +/- 1845.48, N = 3 SE +/- 2350.67, N = 3 SE +/- 1990.47, N = 3 1467255.9 1469762.5 1470396.7
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: 100 - Mode: Read Write Linux 5.4 Linux 5.9 Linux 5.8 200 400 600 800 1000 SE +/- 1.18, N = 3 SE +/- 0.10, N = 3 SE +/- 1.75, N = 3 977 979 978 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Linux 5.4 Linux 5.9 Linux 5.8 20K 40K 60K 80K 100K SE +/- 150.04, N = 3 SE +/- 120.38, N = 3 SE +/- 55.43, N = 3 115741 115805 115606 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
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 Linux 5.4 Linux 5.9 Linux 5.8 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 22.42 22.39 22.39 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM collisionDetection - Browser: Firefox Linux 5.4 Linux 5.9 Linux 5.8 100 200 300 400 500 SE +/- 0.38, N = 3 SE +/- 0.38, N = 3 SE +/- 0.20, N = 3 450.2 450.5 450.7 1. Linux 5.4: firefox 80.0 2. Linux 5.9: firefox 81.0 3. Linux 5.8: firefox 80.0
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 Linux 5.4 Linux 5.9 Linux 5.8 60 120 180 240 300 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 278.19 278.08 278.05 MIN: 277.89 / MAX: 278.76 MIN: 277.86 / MAX: 278.96 MIN: 277.7 / MAX: 278.79 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Selenium Benchmark: Maze Solver - Browser: Firefox Linux 5.4 Linux 5.9 Linux 5.8 1.215 2.43 3.645 4.86 6.075 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 5.4 5.4 5.4 1. Linux 5.4: firefox 80.0 2. Linux 5.9: firefox 81.0 3. Linux 5.8: firefox 80.0
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU Linux 5.4 Linux 5.9 Linux 5.8 0.162 0.324 0.486 0.648 0.81 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.72 0.72 0.72
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: Default Linux 5.4 Linux 5.9 Linux 5.8 0.3098 0.6196 0.9294 1.2392 1.549 SE +/- 0.005, N = 3 SE +/- 0.006, N = 3 SE +/- 0.005, N = 3 1.377 1.377 1.377 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: MotionMark - Browser: Firefox Linux 5.4 Linux 5.9 Linux 5.8 60 120 180 240 300 SE +/- 13.28, N = 9 SE +/- 2.32, N = 3 SE +/- 8.71, N = 9 250.26 265.46 263.29 1. Linux 5.4: firefox 80.0 2. Linux 5.9: firefox 81.0 3. Linux 5.8: firefox 80.0
OpenBenchmarking.org Overall Score, More Is Better Selenium Benchmark: Basemark - Browser: Firefox Linux 5.4 Linux 5.9 Linux 5.8 120 240 360 480 600 SE +/- 15.39, N = 9 SE +/- 6.82, N = 12 SE +/- 8.48, N = 12 548.12 571.08 559.12 1. Linux 5.4: firefox 80.0 2. Linux 5.9: firefox 81.0 3. Linux 5.8: firefox 80.0
Linux 5.4 Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z490M-PLUS (1001 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: G237HL, Network: Intel
OS: Ubuntu 20.04, Kernel: 5.4.0-45-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --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 -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 3.8.5Security Notes: itlb_multihit: KVM: Vulnerable + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 11 October 2020 06:49 by user phoronix.
Linux 5.9 Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z490M-PLUS (1001 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: G237HL, Network: Intel
OS: Ubuntu 20.04, Kernel: 5.9.0-050900daily20201012-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --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 -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 3.8.5Security Notes: itlb_multihit: KVM: Mitigation of VMX unsupported + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 13 October 2020 06:16 by user phoronix.
Linux 5.8 Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z490M-PLUS (1001 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: G237HL, Network: Intel
OS: Ubuntu 20.04, Kernel: 5.8.14-050814-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --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 -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 3.8.5Security Notes: itlb_multihit: KVM: Mitigation of VMX unsupported + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 13 October 2020 17:43 by user phoronix.