AMD Ryzen Threadripper 2950X 16-Core testing with a MSI MEG X399 CREATION (MS-7B92) v1.0 (1.30 BIOS) and AMD FirePro V4900 1GB on Debian 10 via the Phoronix Test Suite.
Linux 5.8.1 Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x800820bPython Notes: Python 2.7.16 + Python 3.7.3Security 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Linux 5.8.1 Repeat 3 Processor: AMD Ryzen Threadripper 2950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: MSI MEG X399 CREATION (MS-7B92) v1.0 (1.30 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: AMD FirePro V4900 1GB, Audio: Realtek ALC1220, Monitor: DELL S2409W, Network: 2 x Intel I211 + Intel-AC 9260
OS: Debian 10, Kernel: 5.8.1-050801-generic (x86_64), Desktop: GNOME Shell 3.30.2, Display Server: X Server 1.20.4 + Wayland, Display Driver: modesetting 1.20.4, OpenGL: 3.3 Mesa 18.3.6 (LLVM 7.0.1), Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1920x1080
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 3 Linux 5.8.1 Linux 5.8.1 Repeat 4 8 12 16 20 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 13.71 14.99 14.30 MIN: 13.53 / MAX: 14.15 MIN: 14.6 / MAX: 27.06 MIN: 14.03 / MAX: 24.68 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 ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency 3 Linux 5.8.1 Repeat 0.0266 0.0532 0.0798 0.1064 0.133 SE +/- 0.001, N = 13 SE +/- 0.001, N = 3 0.118 0.110 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 3 Linux 5.8.1 Repeat 100K 200K 300K 400K 500K SE +/- 3433.71, N = 13 SE +/- 2495.92, N = 3 423148 453461 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
NCNN OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet 3 Linux 5.8.1 Linux 5.8.1 Repeat 3 6 9 12 15 SE +/- 0.08, N = 3 SE +/- 0.14, N = 12 SE +/- 0.15, N = 12 9.56 9.87 10.23 MIN: 9.39 / MAX: 9.89 MIN: 9.31 / MAX: 214.62 MIN: 9.41 / MAX: 246.43 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: resnet-v2-50 3 Linux 5.8.1 Linux 5.8.1 Repeat 13 26 39 52 65 SE +/- 0.26, N = 3 SE +/- 0.20, N = 3 SE +/- 0.11, N = 3 54.30 56.42 54.15 MIN: 53.34 / MAX: 65.9 MIN: 55.36 / MAX: 68.72 MIN: 53.6 / MAX: 66.08 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 ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency 3 Linux 5.8.1 Repeat 30 60 90 120 150 SE +/- 1.23, N = 9 SE +/- 0.19, N = 3 116.33 111.68 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 3 Linux 5.8.1 Repeat 200 400 600 800 1000 SE +/- 8.50, N = 9 SE +/- 1.48, N = 3 861 896 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 3 Linux 5.8.1 Linux 5.8.1 Repeat 7 14 21 28 35 SE +/- 0.22, N = 20 SE +/- 0.14, N = 4 SE +/- 0.28, N = 20 30.79 30.34 31.37 1. (CC) gcc options: -O2 -std=c99
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: 250 - Mode: Read Write - Average Latency 3 Linux 5.8.1 Repeat 70 140 210 280 350 SE +/- 0.41, N = 3 SE +/- 1.63, N = 3 308.66 298.88 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: 250 - Mode: Read Write 3 Linux 5.8.1 Repeat 200 400 600 800 1000 SE +/- 1.11, N = 3 SE +/- 4.56, N = 3 811 837 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
NCNN OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18_int8 3 Linux 5.8.1 Linux 5.8.1 Repeat 6 12 18 24 30 SE +/- 0.17, N = 3 SE +/- 0.09, N = 12 SE +/- 0.18, N = 12 26.31 25.96 26.68 MIN: 22.96 / MAX: 152.39 MIN: 22.61 / MAX: 142.85 MIN: 22.75 / MAX: 181.84 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: mobilenet-v1-1.0 3 Linux 5.8.1 Linux 5.8.1 Repeat 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 10.26 10.30 10.07 MIN: 9.76 / MAX: 22.89 MIN: 9.97 / MAX: 12.3 MIN: 9.84 / MAX: 22.4 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 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface 3 Linux 5.8.1 Linux 5.8.1 Repeat 0.81 1.62 2.43 3.24 4.05 SE +/- 0.03, N = 3 SE +/- 0.02, N = 12 SE +/- 0.04, N = 12 3.52 3.57 3.60 MIN: 3.41 / MAX: 3.69 MIN: 3.42 / MAX: 14.39 MIN: 3.41 / MAX: 69.92 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet_int8 3 Linux 5.8.1 Linux 5.8.1 Repeat 16 32 48 64 80 SE +/- 1.24, N = 3 SE +/- 0.75, N = 12 SE +/- 0.97, N = 12 73.76 74.20 72.80 MIN: 54.4 / MAX: 310.9 MIN: 54.23 / MAX: 508.22 MIN: 54.37 / MAX: 450.5 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 4 Two-Pass 3 Linux 5.8.1 Linux 5.8.1 Repeat 0.4658 0.9316 1.3974 1.8632 2.329 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 2.07 2.04 2.05 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
NCNN OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenetv2_yolov3 3 Linux 5.8.1 Linux 5.8.1 Repeat 6 12 18 24 30 SE +/- 0.06, N = 3 SE +/- 0.12, N = 12 SE +/- 0.18, N = 12 24.63 24.38 24.30 MIN: 23.7 / MAX: 34.41 MIN: 22.88 / MAX: 90.94 MIN: 22.8 / MAX: 315.59 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 3 Linux 5.8.1 Linux 5.8.1 Repeat 0.5294 1.0588 1.5882 2.1176 2.647 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.009, N = 3 2.340 2.353 2.325 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
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 6 Two-Pass 3 Linux 5.8.1 Linux 5.8.1 Repeat 0.7583 1.5166 2.2749 3.0332 3.7915 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 3.34 3.33 3.37 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression 3 Linux 5.8.1 Linux 5.8.1 Repeat 2 4 6 8 10 SE +/- 0.033, N = 3 SE +/- 0.017, N = 3 SE +/- 0.028, N = 3 7.445 7.505 7.420 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
NCNN OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50_int8 3 Linux 5.8.1 Linux 5.8.1 Repeat 20 40 60 80 100 SE +/- 1.24, N = 3 SE +/- 0.70, N = 12 SE +/- 0.57, N = 12 88.40 89.18 88.18 MIN: 83.5 / MAX: 317.91 MIN: 82.61 / MAX: 366.11 MIN: 81.57 / MAX: 379.76 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 3 Linux 5.8.1 Linux 5.8.1 Repeat 50 100 150 200 250 SE +/- 1.50, N = 3 SE +/- 0.97, N = 3 SE +/- 0.91, N = 3 227.92 229.02 226.47 1. (CC) gcc options: -pthread -shared -lxc -lblas -lmpi
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 3 Linux 5.8.1 Linux 5.8.1 Repeat 11 22 33 44 55 SE +/- 0.04, N = 3 SE +/- 0.28, N = 3 SE +/- 0.13, N = 3 50.88 50.37 50.35 MIN: 50.48 / MAX: 63.23 MIN: 49.46 / MAX: 61.04 MIN: 49.85 / MAX: 61.75 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
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 3 Linux 5.8.1 Linux 5.8.1 Repeat 4 8 12 16 20 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 18.27 18.26 18.08 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
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 6 Realtime 3 Linux 5.8.1 Linux 5.8.1 Repeat 4 8 12 16 20 SE +/- 0.23, N = 3 SE +/- 0.15, N = 3 SE +/- 0.23, N = 3 18.10 18.28 18.26 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -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: MobileNetV2_224 3 Linux 5.8.1 Linux 5.8.1 Repeat 2 4 6 8 10 SE +/- 0.016, N = 3 SE +/- 0.050, N = 3 SE +/- 0.033, N = 3 7.452 7.502 7.431 MIN: 7.31 / MAX: 20.37 MIN: 7.29 / MAX: 8.29 MIN: 7.33 / MAX: 9.4 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 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16_int8 3 Linux 5.8.1 Linux 5.8.1 Repeat 30 60 90 120 150 SE +/- 0.09, N = 3 SE +/- 0.08, N = 12 SE +/- 0.10, N = 12 113.01 111.97 112.52 MIN: 111.34 / MAX: 119.2 MIN: 103.5 / MAX: 124.14 MIN: 103.26 / MAX: 124.37 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: 1 - Clients: 100 - Mode: Read Only - Average Latency 3 Linux 5.8.1 Repeat 0.0504 0.1008 0.1512 0.2016 0.252 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.224 0.222 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 3 Linux 5.8.1 Repeat 100K 200K 300K 400K 500K SE +/- 1564.30, N = 3 SE +/- 1881.87, N = 3 446827 450809 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
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 3 Linux 5.8.1 Linux 5.8.1 Repeat 6M 12M 18M 24M 30M SE +/- 34508.13, N = 3 SE +/- 25801.97, N = 3 SE +/- 42802.99, N = 3 28230597 28173040 28413557 1. (CXX) g++ options: -O3 -fopenmp
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 3 Linux 5.8.1 Linux 5.8.1 Repeat 9 18 27 36 45 SE +/- 0.18, N = 3 SE +/- 0.19, N = 3 SE +/- 0.08, N = 3 38.16 38.38 38.06 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
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 8 Realtime 3 Linux 5.8.1 Linux 5.8.1 Repeat 8 16 24 32 40 SE +/- 0.16, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 32.36 32.11 32.35 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 50 - Mode: Read Only - Average Latency 3 Linux 5.8.1 Repeat 0.0369 0.0738 0.1107 0.1476 0.1845 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.164 0.163 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
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 3 Linux 5.8.1 Linux 5.8.1 Repeat 0.2989 0.5978 0.8967 1.1956 1.4945 SE +/- 0.00331, N = 3 SE +/- 0.00235, N = 3 SE +/- 0.00326, N = 3 1.32051 1.32833 1.32046
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 3 Linux 5.8.1 Linux 5.8.1 Repeat 60 120 180 240 300 SE +/- 1.68, N = 3 SE +/- 0.20, N = 3 SE +/- 0.98, N = 3 250.80 251.01 252.29 1. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
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: 250 - Mode: Read Only - Average Latency 3 Linux 5.8.1 Repeat 0.1337 0.2674 0.4011 0.5348 0.6685 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 0.594 0.591 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
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 3 Linux 5.8.1 Linux 5.8.1 Repeat 7 14 21 28 35 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 29.12 29.26 29.19 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Only 3 Linux 5.8.1 Repeat 70K 140K 210K 280K 350K SE +/- 315.07, N = 3 SE +/- 85.01, N = 3 320822 322022 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency 3 Linux 5.8.1 Repeat 0.2 0.4 0.6 0.8 1 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 0.889 0.886 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: 250 - Mode: Read Only 3 Linux 5.8.1 Repeat 60K 120K 180K 240K 300K SE +/- 631.14, N = 3 SE +/- 526.04, N = 3 281363 282311 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 3 Linux 5.8.1 Repeat 0.0702 0.1404 0.2106 0.2808 0.351 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.312 0.311 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
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 3 Linux 5.8.1 Linux 5.8.1 Repeat 200K 400K 600K 800K 1000K SE +/- 3651.04, N = 3 SE +/- 2124.76, N = 3 SE +/- 4276.30, N = 3 1143082.4 1146722.3 1145757.3
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 ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 100 - Mode: Read Only - Average Latency 3 Linux 5.8.1 Repeat 0.0745 0.149 0.2235 0.298 0.3725 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.331 0.330 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: 1000 - Clients: 100 - Mode: Read Only 3 Linux 5.8.1 Repeat 70K 140K 210K 280K 350K SE +/- 1051.36, N = 3 SE +/- 620.87, N = 3 302709 303601 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
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 3 Linux 5.8.1 Linux 5.8.1 Repeat 300K 600K 900K 1200K 1500K SE +/- 239.66, N = 3 SE +/- 1123.42, N = 3 SE +/- 4068.74, N = 3 1199034.3 1198725.7 1196024.0
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 3 Linux 5.8.1 Linux 5.8.1 Repeat 300K 600K 900K 1200K 1500K SE +/- 1528.06, N = 3 SE +/- 625.56, N = 3 SE +/- 2553.88, N = 3 1208112.7 1206605.3 1206443.9
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: 1000 - Clients: 250 - Mode: Read Only 3 Linux 5.8.1 Repeat 60K 120K 180K 240K 300K SE +/- 474.53, N = 3 SE +/- 912.98, N = 3 260675 260353 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 3 Linux 5.8.1 Repeat 70K 140K 210K 280K 350K SE +/- 482.85, N = 3 SE +/- 279.90, N = 3 322772 322393 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: 1000 - Clients: 250 - Mode: Read Only - Average Latency 3 Linux 5.8.1 Repeat 0.2162 0.4324 0.6486 0.8648 1.081 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 0.960 0.961 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 3 Linux 5.8.1 Repeat 0.0349 0.0698 0.1047 0.1396 0.1745 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.155 0.155 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
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 3 Linux 5.8.1 Linux 5.8.1 Repeat 0.0608 0.1216 0.1824 0.2432 0.304 SE +/- 0.00, N = 7 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.27 0.27 0.27 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
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 3 Linux 5.8.1 Linux 5.8.1 Repeat 50 100 150 200 250 206 206 206 1. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
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: 1000 - Clients: 250 - Mode: Read Write - Average Latency 3 Linux 5.8.1 Repeat 12 24 36 48 60 SE +/- 2.55, N = 6 SE +/- 1.25, N = 9 50.67 53.22 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: 1000 - Clients: 250 - Mode: Read Write 3 Linux 5.8.1 Repeat 1100 2200 3300 4400 5500 SE +/- 262.21, N = 6 SE +/- 107.68, N = 9 5003 4721 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: 1000 - Clients: 100 - Mode: Read Write - Average Latency 3 Linux 5.8.1 Repeat 6 12 18 24 30 SE +/- 0.68, N = 6 SE +/- 0.72, N = 9 25.45 25.29 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: 1000 - Clients: 100 - Mode: Read Write 3 Linux 5.8.1 Repeat 900 1800 2700 3600 4500 SE +/- 107.23, N = 6 SE +/- 106.13, N = 9 3946 3981 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: 1000 - Clients: 50 - Mode: Read Write - Average Latency 3 Linux 5.8.1 Repeat 4 8 12 16 20 SE +/- 0.38, N = 9 SE +/- 0.60, N = 9 15.65 14.09 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: 1000 - Clients: 50 - Mode: Read Write 3 Linux 5.8.1 Repeat 800 1600 2400 3200 4000 SE +/- 75.81, N = 9 SE +/- 149.30, N = 9 3211 3601 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: 250 - Mode: Read Write - Average Latency 3 Linux 5.8.1 Repeat 5 10 15 20 25 SE +/- 0.54, N = 12 SE +/- 0.68, N = 12 21.67 22.83 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: 250 - Mode: Read Write 3 Linux 5.8.1 Repeat 2K 4K 6K 8K 10K SE +/- 264.69, N = 12 SE +/- 321.31, N = 12 11620 11065 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 3 Linux 5.8.1 Repeat 3 6 9 12 15 SE +/- 0.176, N = 15 SE +/- 0.217, N = 15 9.367 9.871 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 3 Linux 5.8.1 Repeat 2K 4K 6K 8K 10K SE +/- 182.46, N = 15 SE +/- 228.49, N = 15 10732 10209 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 3 Linux 5.8.1 Repeat 1.2641 2.5282 3.7923 5.0564 6.3205 SE +/- 0.142, N = 15 SE +/- 0.077, N = 15 5.618 5.214 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 3 Linux 5.8.1 Repeat 2K 4K 6K 8K 10K SE +/- 207.35, N = 15 SE +/- 131.37, N = 15 8975 9620 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 3 Linux 5.8.1 Repeat 13 26 39 52 65 SE +/- 0.62, N = 7 SE +/- 1.28, N = 15 56.05 55.97 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 3 Linux 5.8.1 Repeat 200 400 600 800 1000 SE +/- 9.36, N = 7 SE +/- 17.19, N = 15 893 899 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.4 Test: DNN - Deep Neural Network 3 Linux 5.8.1 Linux 5.8.1 Repeat 1600 3200 4800 6400 8000 SE +/- 263.17, N = 12 SE +/- 190.11, N = 12 SE +/- 277.98, N = 12 7355 7619 7160 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
NCNN OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet 3 Linux 5.8.1 Linux 5.8.1 Repeat 4 8 12 16 20 SE +/- 0.40, N = 3 SE +/- 0.20, N = 12 SE +/- 0.34, N = 12 13.67 13.21 14.63 MIN: 12.42 / MAX: 71.84 MIN: 12.01 / MAX: 73.45 MIN: 12.26 / MAX: 75.22 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet 3 Linux 5.8.1 Linux 5.8.1 Repeat 3 6 9 12 15 SE +/- 0.12, N = 3 SE +/- 0.20, N = 12 SE +/- 0.25, N = 12 10.98 10.10 10.35 MIN: 8.64 / MAX: 288.72 MIN: 8.64 / MAX: 265.43 MIN: 8.59 / MAX: 288.47 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet_v3 3 Linux 5.8.1 Linux 5.8.1 Repeat 3 6 9 12 15 SE +/- 0.26, N = 3 SE +/- 0.14, N = 12 SE +/- 0.36, N = 12 9.99 9.68 10.23 MIN: 9 / MAX: 136.87 MIN: 9.02 / MAX: 273.99 MIN: 9.01 / MAX: 333.35 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet_int8 3 Linux 5.8.1 Linux 5.8.1 Repeat 8 16 24 32 40 SE +/- 0.47, N = 3 SE +/- 0.58, N = 12 SE +/- 0.85, N = 12 34.06 34.66 35.82 MIN: 20.7 / MAX: 223.42 MIN: 20.53 / MAX: 228.8 MIN: 20.59 / MAX: 230.97 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Linux 5.8.1 Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x800820bPython Notes: Python 2.7.16 + Python 3.7.3Security 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 24 September 2020 07:53 by user pts.
Linux 5.8.1 Repeat Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x800820bPython Notes: Python 2.7.16 + Python 3.7.3Security 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 24 September 2020 11:43 by user pts.
3 Processor: AMD Ryzen Threadripper 2950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: MSI MEG X399 CREATION (MS-7B92) v1.0 (1.30 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: AMD FirePro V4900 1GB, Audio: Realtek ALC1220, Monitor: DELL S2409W, Network: 2 x Intel I211 + Intel-AC 9260
OS: Debian 10, Kernel: 5.8.1-050801-generic (x86_64), Desktop: GNOME Shell 3.30.2, Display Server: X Server 1.20.4 + Wayland, Display Driver: modesetting 1.20.4, OpenGL: 3.3 Mesa 18.3.6 (LLVM 7.0.1), Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x800820bPython Notes: Python 2.7.16 + Python 3.7.3Security 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 24 September 2020 19:32 by user pts.