AMD Ryzen 7 3800XT 8-Core testing with a ASRock X570 Pro4 (P3.00 BIOS) and Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 8GB on Ubuntu 20.04 via the Phoronix Test Suite.
Linux 5.4 Processor: AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads), Motherboard: ASRock X570 Pro4 (P3.00 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 500GB CT500P2SSD8, Graphics: Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1560/2100MHz), Audio: AMD Ellesmere HDMI Audio, Monitor: VA2431, Network: Intel I211
OS: Ubuntu 20.04, Kernel: 5.4.0-42-generic (x86_64), Desktop: GNOME Shell 3.36.1, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), 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: acpi-cpufreq ondemand - CPU Microcode: 0x8701021Graphics Notes: GLAMORPython Notes: Python 3.8.2Security 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Linux 5.8 OS: Ubuntu 20.04, Kernel: 5.8.0-050800-generic (x86_64), Desktop: GNOME Shell 3.36.1, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), Vulkan: 1.2.128, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Linux 5.9 Git OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20201003-generic (x86_64) 20201002, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), Vulkan: 1.2.128, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
AOM AV1 This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 0 Two-Pass Linux 5.9 Git Linux 5.8 Linux 5.4 0.072 0.144 0.216 0.288 0.36 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.31 0.32 0.32 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass Linux 5.9 Git Linux 5.8 Linux 5.4 0.5895 1.179 1.7685 2.358 2.9475 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 2.53 2.54 2.62 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Realtime Linux 5.9 Git Linux 5.8 Linux 5.4 5 10 15 20 25 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 18.59 18.75 18.85 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass Linux 5.9 Git Linux 5.8 Linux 5.4 0.9045 1.809 2.7135 3.618 4.5225 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 4.02 3.90 4.02 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 8 Realtime Linux 5.9 Git Linux 5.8 Linux 5.4 8 16 24 32 40 SE +/- 0.16, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 35.59 32.10 35.89 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -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 5.9 Git Linux 5.8 Linux 5.4 20 40 60 80 100 SE +/- 1.00, N = 3 SE +/- 1.52, N = 3 SE +/- 0.77, N = 3 93.37 93.48 97.00 1. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
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: Fast Linux 5.9 Git Linux 5.8 Linux 5.4 1.2218 2.4436 3.6654 4.8872 6.109 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 5.37 5.37 5.43 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Medium Linux 5.9 Git Linux 5.8 Linux 5.4 2 4 6 8 10 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 8.06 8.06 8.06 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Thorough Linux 5.9 Git Linux 5.8 Linux 5.4 6 12 18 24 30 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 25.31 25.23 25.24 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Exhaustive Linux 5.9 Git Linux 5.8 Linux 5.4 50 100 150 200 250 SE +/- 0.23, N = 3 SE +/- 0.23, N = 3 SE +/- 0.30, N = 3 205.21 204.37 205.20 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Blender Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: CPU-Only Linux 5.9 Git Linux 5.8 Linux 5.4 30 60 90 120 150 SE +/- 0.66, N = 3 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 156.00 154.95 156.94
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: CPU-Only Linux 5.9 Git Linux 5.8 Linux 5.4 100 200 300 400 500 SE +/- 0.68, N = 3 SE +/- 0.35, N = 3 SE +/- 1.04, N = 3 448.05 447.68 450.45
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Fishy Cat - Compute: CPU-Only Linux 5.9 Git Linux 5.8 Linux 5.4 50 100 150 200 250 SE +/- 0.32, N = 3 SE +/- 0.06, N = 3 SE +/- 0.60, N = 3 208.28 208.05 209.02
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: CPU-Only Linux 5.9 Git Linux 5.8 Linux 5.4 140 280 420 560 700 SE +/- 0.61, N = 3 SE +/- 0.79, N = 3 SE +/- 0.44, N = 3 647.68 647.55 649.14
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Pabellon Barcelona - Compute: CPU-Only Linux 5.9 Git Linux 5.8 Linux 5.4 110 220 330 440 550 SE +/- 0.66, N = 3 SE +/- 0.48, N = 3 SE +/- 0.43, N = 3 499.64 499.03 501.14
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 5.9 Git Linux 5.8 Linux 5.4 11K 22K 33K 44K 55K SE +/- 50.89, N = 3 SE +/- 119.08, N = 3 SE +/- 91.12, N = 3 52896 52599 52156 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 Linux 5.9 Git Linux 5.8 Linux 5.4 20K 40K 60K 80K 100K SE +/- 80.34, N = 3 SE +/- 20.17, N = 3 SE +/- 322.89, N = 3 105623 105448 104104 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Linux 5.9 Git Linux 5.8 Linux 5.4 30K 60K 90K 120K 150K SE +/- 1047.50, N = 3 SE +/- 259.83, N = 3 SE +/- 610.56, N = 3 127975 128380 127096 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 Linux 5.9 Git Linux 5.8 Linux 5.4 60K 120K 180K 240K 300K SE +/- 71.01, N = 3 SE +/- 2075.06, N = 3 SE +/- 337.83, N = 3 257903 255799 255329 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
dcraw This test times how long it takes to convert several high-resolution RAW NEF image files to PPM image format using dcraw. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better dcraw RAW To PPM Image Conversion Linux 5.9 Git Linux 5.8 Linux 5.4 9 18 27 36 45 SE +/- 0.43, N = 3 SE +/- 0.54, N = 4 SE +/- 0.30, N = 3 38.33 38.66 38.33 1. (CC) gcc options: -lm
DeepSpeech Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better DeepSpeech 0.6 Acceleration: CPU Linux 5.9 Git Linux 5.8 Linux 5.4 16 32 48 64 80 SE +/- 0.01, N = 3 SE +/- 0.13, N = 3 SE +/- 0.05, N = 3 69.29 69.45 70.62
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 5.9 Git Linux 5.8 Linux 5.4 4 8 12 16 20 SE +/- 0.21, N = 3 SE +/- 0.14, N = 3 SE +/- 0.19, N = 3 15.87 15.79 15.56
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 5.9 Git Linux 5.8 Linux 5.4 7 14 21 28 35 SE +/- 0.40, N = 20 SE +/- 0.43, N = 20 SE +/- 0.09, N = 4 29.33 29.03 27.28 1. (CC) gcc options: -O2 -std=c99
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 5.9 Git Linux 5.8 Linux 5.4 8K 16K 24K 32K 40K SE +/- 46.88, N = 3 SE +/- 43.81, N = 3 SE +/- 61.86, N = 3 37488.02 37385.28 36844.28 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
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 5.9 Git Linux 5.8 Linux 5.4 80 160 240 320 400 SE +/- 0.61, N = 3 SE +/- 0.95, N = 3 SE +/- 0.74, N = 3 379.98 380.08 373.56 1. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
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 5.9 Git Linux 5.8 Linux 5.4 0.1764 0.3528 0.5292 0.7056 0.882 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.784 0.771 0.779 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
Hugin Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Hugin Panorama Photo Assistant + Stitching Time Linux 5.9 Git Linux 5.8 Linux 5.4 10 20 30 40 50 SE +/- 0.35, N = 3 SE +/- 0.39, N = 3 SE +/- 0.42, N = 3 46.00 45.64 45.57
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 5.9 Git Linux 5.8 Linux 5.4 80 160 240 320 400 SE +/- 0.29, N = 3 SE +/- 0.93, N = 3 SE +/- 0.84, N = 3 360.06 359.57 345.82 1. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
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 5.9 Git Linux 5.8 Linux 5.4 300K 600K 900K 1200K 1500K SE +/- 16869.06, N = 3 SE +/- 42342.69, N = 12 SE +/- 4014.90, N = 3 1215380.1 1139053.3 1157537.5
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 5.9 Git Linux 5.4 300K 600K 900K 1200K 1500K SE +/- 48716.51, N = 15 SE +/- 33684.79, N = 15 1292611.2 1375863.8
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 300K 600K 900K 1200K 1500K SE +/- 2322.79, N = 3 1451631.0
KeyDB A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ops/sec, More Is Better KeyDB 6.0.16 Linux 5.9 Git Linux 5.8 Linux 5.4 130K 260K 390K 520K 650K SE +/- 830.89, N = 3 SE +/- 433.40, N = 3 SE +/- 1859.07, N = 3 619432.38 618206.65 608246.51 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
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 5.9 Git Linux 5.8 Linux 5.4 2M 4M 6M 8M 10M SE +/- 236977.32, N = 9 SE +/- 171381.50, N = 5 SE +/- 157260.07, N = 6 9356842 6879472 4416411 1. (CXX) g++ options: -O3 -fopenmp
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 5.9 Git Linux 5.8 Linux 5.4 130 260 390 520 650 SE +/- 6.19, N = 9 SE +/- 6.84, N = 3 SE +/- 7.31, N = 3 579 573 587 1. (CXX) g++ options: -flto -pthread
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Eigen Linux 5.9 Git Linux 5.8 Linux 5.4 130 260 390 520 650 SE +/- 6.17, N = 3 SE +/- 9.13, N = 3 SE +/- 3.48, N = 3 580 585 590 1. (CXX) g++ options: -flto -pthread
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Random Linux 5.9 Git Linux 5.8 Linux 5.4 50K 100K 150K 200K 250K SE +/- 177.50, N = 3 SE +/- 6278.60, N = 9 SE +/- 232.54, N = 3 222555 212499 218852 1. (CXX) g++ options: -flto -pthread
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 2 Linux 5.9 Git Linux 5.8 Linux 5.4 11 22 33 44 55 SE +/- 0.19, N = 3 SE +/- 0.11, N = 3 SE +/- 0.17, N = 3 50.02 49.85 50.02 1. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 8 Linux 5.9 Git Linux 5.8 Linux 5.4 1.1493 2.2986 3.4479 4.5972 5.7465 SE +/- 0.021, N = 3 SE +/- 0.040, N = 3 SE +/- 0.070, N = 3 5.086 5.108 5.046 1. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 10 Linux 5.9 Git Linux 5.8 Linux 5.4 1.0865 2.173 3.2595 4.346 5.4325 SE +/- 0.066, N = 3 SE +/- 0.010, N = 3 SE +/- 0.032, N = 3 4.761 4.829 4.760 1. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda Linux 5.9 Git Linux 5.8 Linux 5.4 16 32 48 64 80 SE +/- 0.53, N = 3 SE +/- 0.09, N = 3 SE +/- 0.72, N = 3 72.25 71.62 68.88
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm Linux 5.9 Git Linux 5.8 Linux 5.4 5 10 15 20 25 SE +/- 0.24, N = 3 SE +/- 0.21, N = 3 SE +/- 0.08, N = 3 19.57 19.41 19.72
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression Linux 5.9 Git Linux 5.8 Linux 5.4 0.5198 1.0396 1.5594 2.0792 2.599 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.31 2.30 2.28
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 5.9 Git Linux 5.8 Linux 5.4 2 4 6 8 10 SE +/- 0.027, N = 3 SE +/- 0.063, N = 3 SE +/- 0.062, N = 3 6.653 6.687 6.751 MIN: 6.52 / MAX: 8.14 MIN: 6.48 / MAX: 7.94 MIN: 6.61 / MAX: 18.82 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
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: resnet-v2-50 Linux 5.9 Git Linux 5.8 Linux 5.4 7 14 21 28 35 SE +/- 0.23, N = 3 SE +/- 0.19, N = 3 SE +/- 0.33, N = 3 31.81 31.75 32.06 MIN: 31.41 / MAX: 43.61 MIN: 31.22 / MAX: 44.58 MIN: 31.53 / MAX: 41.79 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
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 Linux 5.9 Git Linux 5.8 Linux 5.4 0.8951 1.7902 2.6853 3.5804 4.4755 SE +/- 0.061, N = 3 SE +/- 0.061, N = 3 SE +/- 0.077, N = 3 3.843 3.902 3.978 MIN: 3.72 / MAX: 15.81 MIN: 3.77 / MAX: 6.12 MIN: 3.8 / MAX: 5.62 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
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 Linux 5.9 Git Linux 5.8 Linux 5.4 1.3091 2.6182 3.9273 5.2364 6.5455 SE +/- 0.016, N = 3 SE +/- 0.035, N = 3 SE +/- 0.054, N = 3 5.742 5.818 5.736 MIN: 5.67 / MAX: 6.41 MIN: 5.7 / MAX: 6.54 MIN: 5.61 / MAX: 7.57 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
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: inception-v3 Linux 5.9 Git Linux 5.8 Linux 5.4 8 16 24 32 40 SE +/- 0.29, N = 3 SE +/- 0.40, N = 3 SE +/- 0.88, N = 3 34.50 34.57 35.13 MIN: 33.69 / MAX: 45.94 MIN: 33.71 / MAX: 47.43 MIN: 33.22 / MAX: 48.35 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
Monte Carlo Simulations of Ionised Nebulae Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Monte Carlo Simulations of Ionised Nebulae 2019-03-24 Input: Dust 2D tau100.0 Linux 5.9 Git Linux 5.8 Linux 5.4 50 100 150 200 250 220 220 217 1. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
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 5.9 Git Linux 5.8 Linux 5.4 150 300 450 600 750 SE +/- 0.52, N = 3 SE +/- 0.34, N = 3 SE +/- 1.04, N = 3 669.56 669.13 672.12 MIN: 444.44 / MAX: 857.14 MIN: 444.44 / MAX: 800 MIN: 444.44 / MAX: 800 1. mpv 0.32.0
OpenBenchmarking.org FPS, More Is Better MPV Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only Linux 5.9 Git Linux 5.8 Linux 5.4 500 1000 1500 2000 2500 SE +/- 3.07, N = 3 SE +/- 4.83, N = 3 SE +/- 9.72, N = 3 2117.61 2112.38 2149.47 MIN: 1199.98 / MAX: 3000.08 MIN: 1090.91 / MAX: 3000.08 MIN: 1199.98 / MAX: 3000.08 1. mpv 0.32.0
NAMD NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Linux 5.9 Git Linux 5.8 Linux 5.4 0.4948 0.9896 1.4844 1.9792 2.474 SE +/- 0.00272, N = 3 SE +/- 0.00331, N = 3 SE +/- 0.00104, N = 3 2.19478 2.19929 2.19666
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: squeezenet Linux 5.9 Git Linux 5.8 Linux 5.4 5 10 15 20 25 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 18.71 18.63 18.64 MIN: 18.37 / MAX: 20.68 MIN: 18.32 / MAX: 20.09 MIN: 18.34 / MAX: 19.09 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet Linux 5.9 Git Linux 5.8 Linux 5.4 5 10 15 20 25 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 19.51 19.54 19.55 MIN: 19.16 / MAX: 20.91 MIN: 18.93 / MAX: 20.37 MIN: 19.03 / MAX: 30.89 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 Linux 5.9 Git Linux 5.8 Linux 5.4 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 6.41 6.38 6.33 MIN: 6.3 / MAX: 8.11 MIN: 6.27 / MAX: 7.79 MIN: 6.25 / MAX: 7.66 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 Linux 5.9 Git Linux 5.8 Linux 5.4 1.2578 2.5156 3.7734 5.0312 6.289 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 5.59 5.57 5.53 MIN: 5.44 / MAX: 7.1 MIN: 5.46 / MAX: 10.25 MIN: 5.38 / MAX: 16.71 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 Linux 5.9 Git Linux 5.8 Linux 5.4 1.0598 2.1196 3.1794 4.2392 5.299 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 4.71 4.68 4.60 MIN: 4.6 / MAX: 5.59 MIN: 4.6 / MAX: 5.58 MIN: 4.49 / MAX: 5.34 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet Linux 5.9 Git Linux 5.8 Linux 5.4 1.1408 2.2816 3.4224 4.5632 5.704 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 5.06 5.06 5.07 MIN: 4.99 / MAX: 6.28 MIN: 4.96 / MAX: 7.1 MIN: 4.96 / MAX: 5.87 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 Linux 5.9 Git Linux 5.8 Linux 5.4 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 7.96 7.96 7.90 MIN: 7.88 / MAX: 8.56 MIN: 7.85 / MAX: 12.63 MIN: 7.82 / MAX: 8.64 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface Linux 5.9 Git Linux 5.8 Linux 5.4 0.4253 0.8506 1.2759 1.7012 2.1265 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 1.89 1.89 1.89 MIN: 1.85 / MAX: 1.94 MIN: 1.85 / MAX: 1.99 MIN: 1.84 / MAX: 2.1 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet Linux 5.9 Git Linux 5.8 Linux 5.4 4 8 12 16 20 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 18.26 18.21 18.25 MIN: 18 / MAX: 20.51 MIN: 18 / MAX: 19.54 MIN: 17.98 / MAX: 18.85 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 Linux 5.9 Git Linux 5.8 Linux 5.4 20 40 60 80 100 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 76.28 76.25 76.12 MIN: 75.82 / MAX: 99.96 MIN: 75.71 / MAX: 109.68 MIN: 75.65 / MAX: 77.47 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 Linux 5.9 Git Linux 5.8 Linux 5.4 5 10 15 20 25 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 19.07 19.15 19.09 MIN: 18.91 / MAX: 19.7 MIN: 18.93 / MAX: 19.6 MIN: 18.96 / MAX: 20.05 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet Linux 5.9 Git Linux 5.8 Linux 5.4 4 8 12 16 20 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 17.32 17.27 17.24 MIN: 17.17 / MAX: 47.93 MIN: 17.21 / MAX: 19.33 MIN: 17.13 / MAX: 25.8 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 Linux 5.9 Git Linux 5.8 Linux 5.4 7 14 21 28 35 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 32.06 31.98 31.92 MIN: 31.84 / MAX: 33.52 MIN: 31.69 / MAX: 35.66 MIN: 31.69 / MAX: 41.52 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny Linux 5.9 Git Linux 5.8 Linux 5.4 7 14 21 28 35 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 31.41 31.31 31.28 MIN: 31.06 / MAX: 41.58 MIN: 31.04 / MAX: 33.33 MIN: 31.01 / MAX: 32.53 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: squeezenet Linux 5.9 Git Linux 5.8 Linux 5.4 4 8 12 16 20 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 14.74 14.78 14.74 MIN: 13.9 / MAX: 23.16 MIN: 14.05 / MAX: 29.16 MIN: 14.02 / MAX: 25.21 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mobilenet Linux 5.9 Git Linux 5.8 Linux 5.4 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 11.34 11.34 11.31 MIN: 10.56 / MAX: 24.7 MIN: 10.6 / MAX: 19.27 MIN: 10.53 / MAX: 22.63 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 5.9 Git Linux 5.8 Linux 5.4 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 6.19 6.18 6.16 MIN: 5.78 / MAX: 13.09 MIN: 5.78 / MAX: 12.72 MIN: 5.77 / MAX: 8.42 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 5.9 Git Linux 5.8 Linux 5.4 2 4 6 8 10 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 7.30 7.61 7.27 MIN: 6.95 / MAX: 16.41 MIN: 6.95 / MAX: 24.01 MIN: 6.96 / MAX: 16.13 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 Linux 5.9 Git Linux 5.8 Linux 5.4 0.9 1.8 2.7 3.6 4.5 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 3.99 3.98 4.00 MIN: 3.82 / MAX: 4.62 MIN: 3.83 / MAX: 4.62 MIN: 3.82 / MAX: 6.24 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mnasnet Linux 5.9 Git Linux 5.8 Linux 5.4 2 4 6 8 10 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 6.85 6.90 6.79 MIN: 6.52 / MAX: 14.39 MIN: 6.51 / MAX: 15.2 MIN: 6.52 / MAX: 15.73 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 Linux 5.9 Git Linux 5.8 Linux 5.4 4 8 12 16 20 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 15.27 15.17 15.11 MIN: 14.22 / MAX: 30.66 MIN: 14.21 / MAX: 22.31 MIN: 14.21 / MAX: 23.14 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: blazeface Linux 5.9 Git Linux 5.8 Linux 5.4 0.3443 0.6886 1.0329 1.3772 1.7215 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 1.53 1.53 1.46 MIN: 1.49 / MAX: 1.81 MIN: 1.48 / MAX: 1.8 MIN: 1.18 / MAX: 1.73 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: googlenet Linux 5.9 Git Linux 5.8 Linux 5.4 4 8 12 16 20 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 16.16 16.21 15.99 MIN: 15.22 / MAX: 24.52 MIN: 15.17 / MAX: 28.14 MIN: 15.2 / MAX: 21.45 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: vgg16 Linux 5.9 Git Linux 5.8 Linux 5.4 12 24 36 48 60 SE +/- 0.36, N = 3 SE +/- 0.45, N = 3 SE +/- 0.12, N = 3 54.55 54.72 53.69 MIN: 53.2 / MAX: 64.02 MIN: 53.14 / MAX: 68.06 MIN: 53.2 / MAX: 63.48 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet18 Linux 5.9 Git Linux 5.8 Linux 5.4 3 6 9 12 15 SE +/- 0.12, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 9.87 9.77 9.52 MIN: 8.92 / MAX: 23.99 MIN: 8.38 / MAX: 24.01 MIN: 8.41 / MAX: 18.47 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: alexnet Linux 5.9 Git Linux 5.8 Linux 5.4 3 6 9 12 15 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 9.85 10.10 9.52 MIN: 9 / MAX: 24.04 MIN: 9.01 / MAX: 25.8 MIN: 8.99 / MAX: 15.39 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet50 Linux 5.9 Git Linux 5.8 Linux 5.4 6 12 18 24 30 SE +/- 0.11, N = 3 SE +/- 0.17, N = 3 SE +/- 0.02, N = 3 23.37 23.20 23.05 MIN: 22 / MAX: 36.45 MIN: 22.05 / MAX: 31.98 MIN: 21.95 / MAX: 28.8 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny Linux 5.9 Git Linux 5.8 Linux 5.4 5 10 15 20 25 SE +/- 0.35, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 19.17 18.65 18.54 MIN: 16.98 / MAX: 35.27 MIN: 17.02 / MAX: 26.4 MIN: 16.98 / MAX: 29.74 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OCRMyPDF OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OCRMyPDF 9.6.0+dfsg Processing 60 Page PDF Document Linux 5.9 Git Linux 5.8 Linux 5.4 6 12 18 24 30 SE +/- 0.17, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 25.51 25.20 24.79
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 5.9 Git Linux 5.8 Linux 5.4 9K 18K 27K 36K 45K SE +/- 195.60, N = 3 SE +/- 148.03, N = 3 SE +/- 333.03, N = 3 34268 36005 39691 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 5.9 Git Linux 5.8 Linux 5.4 0.0065 0.013 0.0195 0.026 0.0325 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.029 0.028 0.025 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: 1 - Clients: 1 - Mode: Read Write Linux 5.9 Git Linux 5.8 Linux 5.4 90 180 270 360 450 SE +/- 3.10, N = 3 SE +/- 2.41, N = 3 SE +/- 0.57, N = 3 401 401 406 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 Write - Average Latency Linux 5.9 Git Linux 5.8 Linux 5.4 0.5614 1.1228 1.6842 2.2456 2.807 SE +/- 0.020, N = 3 SE +/- 0.015, N = 3 SE +/- 0.003, N = 3 2.495 2.493 2.465 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: 1 - Clients: 50 - Mode: Read Only Linux 5.9 Git Linux 5.8 Linux 5.4 70K 140K 210K 280K 350K SE +/- 1905.86, N = 3 SE +/- 695.06, N = 3 SE +/- 1781.47, N = 3 337661 344080 332862 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: 50 - Mode: Read Only - Average Latency Linux 5.9 Git Linux 5.8 Linux 5.4 0.0338 0.0676 0.1014 0.1352 0.169 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 0.148 0.146 0.150 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: 1 - Clients: 100 - Mode: Read Only Linux 5.9 Git Linux 5.8 Linux 5.4 70K 140K 210K 280K 350K SE +/- 1260.54, N = 3 SE +/- 1365.89, N = 3 SE +/- 1104.18, N = 3 331764 337782 344184 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 Only - Average Latency Linux 5.9 Git Linux 5.8 Linux 5.4 0.068 0.136 0.204 0.272 0.34 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.302 0.296 0.291 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: 1 - Clients: 50 - Mode: Read Write Linux 5.9 Git Linux 5.8 Linux 5.4 90 180 270 360 450 SE +/- 2.63, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 432 436 438 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: 50 - Mode: Read Write - Average Latency Linux 5.9 Git Linux 5.8 Linux 5.4 30 60 90 120 150 SE +/- 0.71, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 115.64 114.76 114.26 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 5.9 Git Linux 5.8 Linux 5.4 7K 14K 21K 28K 35K SE +/- 344.17, N = 3 SE +/- 152.00, N = 3 SE +/- 302.21, N = 15 29848 30957 31411 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 5.9 Git Linux 5.8 Linux 5.4 0.0077 0.0154 0.0231 0.0308 0.0385 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 15 0.034 0.032 0.032 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: 1 - Clients: 100 - Mode: Read Write Linux 5.9 Git Linux 5.8 Linux 5.4 90 180 270 360 450 SE +/- 4.11, N = 3 SE +/- 1.46, N = 3 SE +/- 8.70, N = 15 420 427 328 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 5.9 Git Linux 5.8 Linux 5.4 70 140 210 280 350 SE +/- 2.31, N = 3 SE +/- 0.81, N = 3 SE +/- 6.88, N = 15 238.28 234.52 307.99 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 Write Linux 5.9 Git Linux 5.8 Linux 5.4 80 160 240 320 400 SE +/- 1.55, N = 3 SE +/- 0.63, N = 3 SE +/- 3.06, N = 7 391 390 295 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 Write - Average Latency Linux 5.9 Git Linux 5.8 Linux 5.4 0.7639 1.5278 2.2917 3.0556 3.8195 SE +/- 0.010, N = 3 SE +/- 0.004, N = 3 SE +/- 0.035, N = 7 2.561 2.561 3.395 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: 50 - Mode: Read Only Linux 5.9 Git Linux 5.8 Linux 5.4 60K 120K 180K 240K 300K SE +/- 396.72, N = 3 SE +/- 702.61, N = 3 SE +/- 1031.05, N = 3 255797 259773 266275 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: 50 - Mode: Read Only - Average Latency Linux 5.9 Git Linux 5.8 Linux 5.4 0.0439 0.0878 0.1317 0.1756 0.2195 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.195 0.193 0.188 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: 100 - Mode: Read Only Linux 5.9 Git Linux 5.8 Linux 5.4 60K 120K 180K 240K 300K SE +/- 744.79, N = 3 SE +/- 695.24, N = 3 SE +/- 880.11, N = 3 258869 264628 270324 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 Only - Average Latency Linux 5.9 Git Linux 5.8 Linux 5.4 0.0871 0.1742 0.2613 0.3484 0.4355 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.387 0.378 0.370 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: 50 - Mode: Read Write Linux 5.9 Git Linux 5.8 Linux 5.4 1600 3200 4800 6400 8000 SE +/- 5.64, N = 3 SE +/- 246.59, N = 15 SE +/- 81.38, N = 3 7464 6840 5028 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: 50 - Mode: Read Write - Average Latency Linux 5.9 Git Linux 5.8 Linux 5.4 3 6 9 12 15 SE +/- 0.005, N = 3 SE +/- 0.324, N = 15 SE +/- 0.159, N = 3 6.700 7.474 9.951 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: 100 - Mode: Read Write Linux 5.9 Git Linux 5.8 Linux 5.4 2K 4K 6K 8K 10K SE +/- 60.82, N = 3 SE +/- 179.95, N = 12 SE +/- 41.49, N = 3 10027 7447 6860 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 5.9 Git Linux 5.8 Linux 5.4 4 8 12 16 20 SE +/- 0.061, N = 3 SE +/- 0.309, N = 12 SE +/- 0.089, N = 3 9.979 13.516 14.583 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
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 5.9 Git Linux 5.8 Linux 5.4 11 22 33 44 55 SE +/- 0.78, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 48.00 47.51 47.67
OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: Yes Linux 5.9 Git Linux 5.8 Linux 5.4 80 160 240 320 400 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 363.18 363.23 363.25
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 5.9 Git Linux 5.8 Linux 5.4 4 8 12 16 20 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 SE +/- 0.26, N = 4 17.84 18.04 17.75 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD Linux 5.9 Git Linux 5.8 Linux 5.4 50 100 150 200 250 SE +/- 0.13, N = 3 SE +/- 0.26, N = 3 SE +/- 0.09, N = 3 234.11 233.74 233.57 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D Linux 5.9 Git Linux 5.8 Linux 5.4 20 40 60 80 100 SE +/- 0.17, N = 3 SE +/- 0.54, N = 3 SE +/- 0.75, N = 15 80.43 79.58 81.73 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte Linux 5.9 Git Linux 5.8 Linux 5.4 30 60 90 120 150 SE +/- 0.12, N = 3 SE +/- 0.59, N = 3 SE +/- 0.43, N = 3 121.53 121.12 120.26 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver Linux 5.9 Git Linux 5.8 Linux 5.4 6 12 18 24 30 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 23.06 22.85 22.45 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster Linux 5.9 Git Linux 5.8 Linux 5.4 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 33.65 33.84 33.99 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 Linux 5.9 Git Linux 5.8 Linux 5.4 600K 1200K 1800K 2400K 3000K SE +/- 1521.79, N = 3 SE +/- 1104.33, N = 3 SE +/- 677.72, N = 3 2677030 2674417 2672430
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Linux 5.9 Git Linux 5.8 Linux 5.4 500K 1000K 1500K 2000K 2500K SE +/- 1352.04, N = 3 SE +/- 540.49, N = 3 SE +/- 429.16, N = 3 2418593 2416390 2416477
Tesseract OCR Tesseract-OCR is the open-source optical character recognition (OCR) engine for the conversion of text within images to raw text output. This test profile relies upon a system-supplied Tesseract installation. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Tesseract OCR 4.1.1 Time To OCR 7 Images Linux 5.9 Git Linux 5.8 Linux 5.4 5 10 15 20 25 SE +/- 0.20, N = 3 SE +/- 0.21, N = 3 SE +/- 0.04, N = 3 22.73 22.66 22.87
Timed HMMer Search This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search Linux 5.9 Git Linux 5.8 Linux 5.4 20 40 60 80 100 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 105.16 105.00 94.29 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -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 5.9 Git Linux 5.8 Linux 5.4 50 100 150 200 250 SE +/- 0.78, N = 3 SE +/- 2.12, N = 3 SE +/- 2.05, N = 3 243.77 245.50 244.75 MIN: 238.44 / MAX: 270.2 MIN: 237.95 / MAX: 258.89 MIN: 238.67 / MAX: 260.38 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 Linux 5.9 Git Linux 5.8 Linux 5.4 50 100 150 200 250 SE +/- 2.24, N = 3 SE +/- 1.90, N = 3 SE +/- 0.31, N = 3 231.01 228.12 230.72 MIN: 225.1 / MAX: 237.83 MIN: 223.66 / MAX: 232.39 MIN: 227.92 / MAX: 231.96 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
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 5.9 Git Linux 5.8 Linux 5.4 2K 4K 6K 8K 10K SE +/- 2.08, N = 3 SE +/- 3.53, N = 3 SE +/- 26.69, N = 3 10850 10850 10820
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 5.9 Git Linux 5.8 Linux 5.4 0.3231 0.6462 0.9693 1.2924 1.6155 SE +/- 0.011, N = 3 SE +/- 0.015, N = 3 SE +/- 0.001, N = 3 1.413 1.397 1.436 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100 Linux 5.9 Git Linux 5.8 Linux 5.4 0.4896 0.9792 1.4688 1.9584 2.448 SE +/- 0.014, N = 3 SE +/- 0.020, N = 3 SE +/- 0.024, N = 3 2.176 2.159 2.165 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Linux 5.9 Git Linux 5.8 Linux 5.4 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 SE +/- 0.17, N = 3 15.00 15.14 15.26 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Linux 5.9 Git Linux 5.8 Linux 5.4 2 4 6 8 10 SE +/- 0.053, N = 3 SE +/- 0.083, N = 3 SE +/- 0.075, N = 3 6.812 6.704 6.699 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Linux 5.9 Git Linux 5.8 Linux 5.4 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 32.12 32.24 32.28 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 19 Linux 5.9 Git Linux 5.8 Linux 5.4 7 14 21 28 35 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.00, N = 3 30.5 30.6 30.9 1. (CC) gcc options: -O3 -pthread -lz -llzma
Linux 5.4 Processor: AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads), Motherboard: ASRock X570 Pro4 (P3.00 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 500GB CT500P2SSD8, Graphics: Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1560/2100MHz), Audio: AMD Ellesmere HDMI Audio, Monitor: VA2431, Network: Intel I211
OS: Ubuntu 20.04, Kernel: 5.4.0-42-generic (x86_64), Desktop: GNOME Shell 3.36.1, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), 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: acpi-cpufreq ondemand - CPU Microcode: 0x8701021Graphics Notes: GLAMORPython Notes: Python 3.8.2Security 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 2 October 2020 09:50 by user phoronix.
Linux 5.8 Processor: AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads), Motherboard: ASRock X570 Pro4 (P3.00 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 500GB CT500P2SSD8, Graphics: Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1560/2100MHz), Audio: AMD Ellesmere HDMI Audio, Monitor: VA2431, Network: Intel I211
OS: Ubuntu 20.04, Kernel: 5.8.0-050800-generic (x86_64), Desktop: GNOME Shell 3.36.1, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), Vulkan: 1.2.128, 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: acpi-cpufreq ondemand - CPU Microcode: 0x8701021Graphics Notes: GLAMORPython Notes: Python 3.8.2Security 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 3 October 2020 05:39 by user phoronix.
Linux 5.9 Git Processor: AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads), Motherboard: ASRock X570 Pro4 (P3.00 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 500GB CT500P2SSD8, Graphics: Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1560/2100MHz), Audio: AMD Ellesmere HDMI Audio, Monitor: VA2431, Network: Intel I211
OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20201003-generic (x86_64) 20201002, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), Vulkan: 1.2.128, 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: acpi-cpufreq ondemand - CPU Microcode: 0x8701021Graphics Notes: GLAMORPython Notes: Python 3.8.2Security 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 3 October 2020 18:08 by user phoronix.