AMD Ryzen 5 2400G testing with a MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NM BIOS) and MSI AMD Radeon Vega / Mobile 2GB on Ubuntu 19.10 via the Phoronix Test Suite.
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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8101016Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-2ubuntu219.10)Python Notes: Python 2.7.17rc1 + Python 3.7.5Security 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
2 3 4 Processor: AMD Ryzen 5 2400G @ 3.60GHz (4 Cores / 8 Threads), Motherboard: MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NM BIOS), Chipset: AMD Raven/Raven2, Memory: 6GB, Disk: 120GB Corsair Force MP500, Graphics: MSI AMD Radeon Vega / Mobile 2GB (1250/1467MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: G237HL, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 19.10, Kernel: 5.3.0-64-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.5 Mesa 19.2.8 (LLVM 9.0.0), Vulkan: 1.1.107, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080
Algebraic Multi-Grid Benchmark AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Figure Of Merit, More Is Better Algebraic Multi-Grid Benchmark 1.2 1 2 3 4 40M 80M 120M 160M 200M SE +/- 127171.79, N = 3 SE +/- 442597.72, N = 3 SE +/- 84515.21, N = 3 SE +/- 170844.97, N = 3 203466800 204210267 203312833 203289100 1. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
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 1 2 3 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 8.45 8.37 8.36 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 1 2 3 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 9.86 9.83 9.84 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 1 2 3 15 30 45 60 75 SE +/- 0.23, N = 3 SE +/- 0.24, N = 3 SE +/- 0.22, N = 3 65.14 65.12 64.90 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 1 2 3 120 240 360 480 600 SE +/- 0.53, N = 3 SE +/- 0.59, N = 3 SE +/- 0.78, N = 3 546.60 546.99 545.83 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Build2 This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Build2 0.13 Time To Compile 1 2 3 70 140 210 280 350 SE +/- 2.45, N = 3 SE +/- 4.17, N = 3 SE +/- 3.18, N = 3 296.23 298.54 297.01
CLOMP CLOMP is the C version of the Livermore OpenMP benchmark developed to measure OpenMP overheads and other performance impacts due to threading in order to influence future system designs. This particular test profile configuration is currently set to look at the OpenMP static schedule speed-up across all available CPU cores using the recommended test configuration. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Speedup, More Is Better CLOMP 1.2 Static OMP Speedup 1 2 3 4 0.45 0.9 1.35 1.8 2.25 2 2 2 2 1. (CC) gcc options: -fopenmp -O3 -lm
CloverLeaf CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf Lagrangian-Eulerian Hydrodynamics 1 2 3 4 40 80 120 160 200 SE +/- 0.62, N = 3 SE +/- 0.28, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 176.50 171.79 182.03 181.70 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.org Iterations Per Second, More Is Better Cryptsetup PBKDF2-whirlpool 1 2 3 130K 260K 390K 520K 650K SE +/- 1649.33, N = 15 SE +/- 1355.87, N = 3 SE +/- 733.33, N = 3 617890 619487 619727
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup AES-XTS 256b Encryption 1 2 3 400 800 1200 1600 2000 SE +/- 6.44, N = 15 SE +/- 3.18, N = 3 SE +/- 49.12, N = 3 1756.2 1762.9 1681.4
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup AES-XTS 256b Decryption 1 2 3 400 800 1200 1600 2000 SE +/- 5.86, N = 15 SE +/- 6.26, N = 3 SE +/- 27.72, N = 3 1759.5 1766.3 1726.2
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Serpent-XTS 256b Encryption 1 2 3 80 160 240 320 400 SE +/- 4.94, N = 15 SE +/- 4.12, N = 3 SE +/- 3.15, N = 3 341.8 369.3 354.2
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Serpent-XTS 256b Decryption 1 2 3 80 160 240 320 400 SE +/- 1.28, N = 15 SE +/- 0.30, N = 3 SE +/- 6.08, N = 3 368.0 370.5 360.5
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Twofish-XTS 256b Encryption 1 2 3 80 160 240 320 400 SE +/- 1.73, N = 15 SE +/- 0.07, N = 3 SE +/- 7.32, N = 3 384.4 386.4 371.9
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Twofish-XTS 256b Decryption 1 2 3 80 160 240 320 400 SE +/- 1.19, N = 15 SE +/- 0.00, N = 3 SE +/- 6.67, N = 3 384.1 385.3 374.1
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup AES-XTS 512b Encryption 1 2 3 300 600 900 1200 1500 SE +/- 4.00, N = 15 SE +/- 4.19, N = 3 SE +/- 19.24, N = 3 1559.4 1562.7 1530.9
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup AES-XTS 512b Decryption 1 2 3 300 600 900 1200 1500 SE +/- 3.88, N = 15 SE +/- 3.70, N = 3 SE +/- 18.68, N = 3 1559.4 1563.9 1532.5
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Serpent-XTS 512b Encryption 1 2 3 80 160 240 320 400 SE +/- 5.87, N = 15 SE +/- 17.20, N = 3 SE +/- 8.24, N = 3 353.2 339.3 349.7
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Serpent-XTS 512b Decryption 1 2 3 80 160 240 320 400 SE +/- 1.22, N = 15 SE +/- 1.76, N = 3 SE +/- 5.35, N = 3 368.2 368.3 360.4
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Twofish-XTS 512b Encryption 1 2 3 80 160 240 320 400 SE +/- 1.72, N = 13 SE +/- 0.00, N = 2 SE +/- 7.88, N = 3 384.5 386.4 372.5
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Twofish-XTS 512b Decryption 1 2 3 80 160 240 320 400 SE +/- 1.40, N = 12 SE +/- 0.10, N = 2 SE +/- 6.58, N = 3 383.8 385.3 374.2
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better dav1d 0.8.1 Video Input: Chimera 1080p 1 2 3 4 50 100 150 200 250 SE +/- 0.67, N = 3 SE +/- 0.62, N = 3 SE +/- 0.95, N = 3 SE +/- 0.88, N = 3 242.68 242.71 242.04 242.98 MIN: 179.52 / MAX: 416.5 MIN: 179.42 / MAX: 421.76 MIN: 179.53 / MAX: 426.81 MIN: 179.71 / MAX: 424.73 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 0.8.1 Video Input: Summer Nature 4K 1 2 3 4 16 32 48 64 80 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 70.29 70.41 70.50 70.47 MIN: 66.9 / MAX: 76.26 MIN: 66.94 / MAX: 76.37 MIN: 67.04 / MAX: 76.76 MIN: 67.07 / MAX: 76.57 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 0.8.1 Video Input: Summer Nature 1080p 1 2 3 4 50 100 150 200 250 SE +/- 0.96, N = 3 SE +/- 0.57, N = 3 SE +/- 0.28, N = 3 SE +/- 0.59, N = 3 236.91 237.53 236.72 237.31 MIN: 214.92 / MAX: 258.69 MIN: 210.44 / MAX: 259.41 MIN: 211.76 / MAX: 257.76 MIN: 215.04 / MAX: 257.78 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 0.8.1 Video Input: Chimera 1080p 10-bit 1 2 3 4 15 30 45 60 75 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 65.31 65.22 65.26 65.23 MIN: 43.39 / MAX: 153.22 MIN: 43.37 / MAX: 150.79 MIN: 43.24 / MAX: 150.77 MIN: 43.38 / MAX: 150.04 1. (CC) gcc options: -pthread
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar 1 2 3 0.3659 0.7318 1.0977 1.4636 1.8295 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 1.613 1.617 1.626
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium 1 2 3 4 0.423 0.846 1.269 1.692 2.115 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 1.88 1.88 1.88 1.88 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium 1 2 3 4 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 8.13 8.12 8.12 8.12 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast 1 2 3 4 1.1205 2.241 3.3615 4.482 5.6025 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 4.96 4.98 4.96 4.96 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast 1 2 3 4 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 8.93 8.95 8.94 8.95 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast 1 2 3 4 5 10 15 20 25 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 19.90 19.78 19.91 19.88 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast 1 2 3 4 8 16 24 32 40 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.23, N = 3 SE +/- 0.13, N = 3 34.91 34.79 34.91 35.11 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed 1 2 3 4 2K 4K 6K 8K 10K SE +/- 31.60, N = 3 SE +/- 23.72, N = 3 SE +/- 61.19, N = 3 SE +/- 45.93, N = 3 8890.8 8831.0 8778.0 8744.0 1. (CC) gcc options: -O3
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed 1 2 3 4 10 20 30 40 50 SE +/- 0.67, N = 3 SE +/- 0.31, N = 3 SE +/- 0.73, N = 12 SE +/- 0.58, N = 15 43.29 44.68 43.27 43.95 1. (CC) gcc options: -O3
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed 1 2 3 4 2K 4K 6K 8K 10K SE +/- 9.85, N = 3 SE +/- 24.99, N = 3 SE +/- 11.38, N = 12 SE +/- 4.59, N = 15 8702.4 8704.0 8704.8 8674.7 1. (CC) gcc options: -O3
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed 1 2 3 4 10 20 30 40 50 SE +/- 0.49, N = 3 SE +/- 0.61, N = 15 SE +/- 0.66, N = 3 SE +/- 0.48, N = 7 44.38 42.96 43.10 44.41 1. (CC) gcc options: -O3
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed 1 2 3 4 2K 4K 6K 8K 10K SE +/- 19.50, N = 3 SE +/- 7.28, N = 15 SE +/- 8.77, N = 3 SE +/- 7.53, N = 7 8727.9 8697.2 8710.5 8694.3 1. (CC) gcc options: -O3
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 1.1.1 Model: SqueezeNetV1.0 1 2 3 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 11.44 12.76 11.32 MIN: 11.27 / MAX: 24.54 MIN: 12.63 / MAX: 14.44 MIN: 11.18 / MAX: 13.37 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 1.1.1 Model: resnet-v2-50 1 2 3 13 26 39 52 65 SE +/- 0.09, N = 3 SE +/- 0.18, N = 3 SE +/- 0.15, N = 3 57.70 58.93 57.51 MIN: 56.97 / MAX: 97.24 MIN: 58.25 / MAX: 71.96 MIN: 56.78 / MAX: 70.54 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 1.1.1 Model: MobileNetV2_224 1 2 3 1.2254 2.4508 3.6762 4.9016 6.127 SE +/- 0.013, N = 3 SE +/- 0.011, N = 3 SE +/- 0.049, N = 3 5.386 5.381 5.446 MIN: 5.32 / MAX: 17.3 MIN: 5.32 / MAX: 16.01 MIN: 5.34 / MAX: 18.36 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 1.1.1 Model: mobilenet-v1-1.0 1 2 3 2 4 6 8 10 SE +/- 0.083, N = 3 SE +/- 0.074, N = 3 SE +/- 0.094, N = 3 7.198 7.204 7.235 MIN: 6.98 / MAX: 20.14 MIN: 7 / MAX: 9.44 MIN: 6.99 / MAX: 8.95 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 1.1.1 Model: inception-v3 1 2 3 20 40 60 80 100 SE +/- 0.39, N = 3 SE +/- 1.31, N = 3 SE +/- 1.07, N = 3 72.43 74.40 73.22 MIN: 70.53 / MAX: 86.1 MIN: 70.84 / MAX: 120.63 MIN: 70.71 / MAX: 88.15 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: mobilenet 1 2 3 11 22 33 44 55 SE +/- 0.21, N = 3 SE +/- 0.18, N = 3 SE +/- 0.47, N = 3 48.74 49.12 49.26 MIN: 47.01 / MAX: 52.41 MIN: 46.96 / MAX: 60.99 MIN: 46.93 / MAX: 52.83 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 1 2 3 3 6 9 12 15 SE +/- 0.26, N = 3 SE +/- 0.47, N = 3 SE +/- 0.17, N = 3 12.00 11.59 12.33 MIN: 11.15 / MAX: 17.47 MIN: 10.26 / MAX: 15.27 MIN: 11.34 / MAX: 17.56 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 1 2 3 3 6 9 12 15 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 9.47 9.77 9.53 MIN: 9 / MAX: 21.33 MIN: 9.05 / MAX: 13.2 MIN: 8.98 / MAX: 11.5 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: shufflenet-v2 1 2 3 3 6 9 12 15 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 11.15 11.02 10.98 MIN: 10.9 / MAX: 23.16 MIN: 10.78 / MAX: 13.17 MIN: 10.8 / MAX: 12.72 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: mnasnet 1 2 3 3 6 9 12 15 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 10.05 10.58 10.27 MIN: 9.75 / MAX: 11.86 MIN: 10.21 / MAX: 12.32 MIN: 9.7 / MAX: 21.22 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: efficientnet-b0 1 2 3 4 8 12 16 20 SE +/- 0.14, N = 3 SE +/- 0.41, N = 3 SE +/- 0.41, N = 3 15.70 15.93 16.07 MIN: 15.2 / MAX: 19.7 MIN: 15.16 / MAX: 18.44 MIN: 15.12 / MAX: 18.44 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: blazeface 1 2 3 0.7605 1.521 2.2815 3.042 3.8025 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 3.02 3.05 3.38 MIN: 2.77 / MAX: 3.46 MIN: 2.78 / MAX: 3.47 MIN: 2.87 / MAX: 3.89 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: googlenet 1 2 3 7 14 21 28 35 SE +/- 1.26, N = 3 SE +/- 1.12, N = 3 SE +/- 1.18, N = 3 30.50 30.59 31.59 MIN: 28.43 / MAX: 47.49 MIN: 28.35 / MAX: 34.7 MIN: 28.8 / MAX: 36.05 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: vgg16 1 2 3 20 40 60 80 100 SE +/- 0.33, N = 3 SE +/- 0.37, N = 3 SE +/- 0.51, N = 3 103.36 104.71 104.15 MIN: 101.57 / MAX: 120.6 MIN: 101.58 / MAX: 116.21 MIN: 101.58 / MAX: 119.05 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: resnet18 1 2 3 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 25.30 25.30 25.28 MIN: 25 / MAX: 28.34 MIN: 24.92 / MAX: 35.73 MIN: 24.92 / MAX: 37.74 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: alexnet 1 2 3 5 10 15 20 25 SE +/- 0.42, N = 3 SE +/- 0.81, N = 3 SE +/- 0.96, N = 3 21.60 22.42 21.93 MIN: 20.81 / MAX: 28.41 MIN: 20.82 / MAX: 31.14 MIN: 20.79 / MAX: 24.92 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: resnet50 1 2 3 15 30 45 60 75 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.61, N = 3 66.32 66.08 66.85 MIN: 65.96 / MAX: 76.23 MIN: 65.7 / MAX: 77.86 MIN: 65.73 / MAX: 78 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: yolov4-tiny 1 2 3 13 26 39 52 65 SE +/- 0.14, N = 3 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 56.71 56.74 56.78 MIN: 53.66 / MAX: 69.53 MIN: 54.12 / MAX: 68.2 MIN: 53.9 / MAX: 66.82 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: squeezenet_ssd 1 2 3 10 20 30 40 50 SE +/- 0.41, N = 3 SE +/- 0.25, N = 3 SE +/- 0.13, N = 3 43.27 42.28 43.30 MIN: 36.99 / MAX: 55.23 MIN: 36.93 / MAX: 50.75 MIN: 37.21 / MAX: 48.81 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: regnety_400m 1 2 3 5 10 15 20 25 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.16, N = 3 19.47 19.48 19.50 MIN: 19.23 / MAX: 21.64 MIN: 19.18 / MAX: 31.02 MIN: 19.16 / MAX: 23.57 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Node.js V8 Web Tooling Benchmark Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org runs/s, More Is Better Node.js V8 Web Tooling Benchmark 1 2 3 3 6 9 12 15 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 9.09 9.05 8.97 1. Nodejs
v10.15.2
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU 1 2 3 4 4 8 12 16 20 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 16.00 16.05 16.09 16.06 MIN: 14.3 MIN: 14.16 MIN: 14.31 MIN: 14.23 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU 1 2 3 4 3 6 9 12 15 SE +/- 0.02437, N = 3 SE +/- 0.02016, N = 3 SE +/- 0.01413, N = 3 SE +/- 0.01524, N = 3 9.76165 9.98826 9.93337 9.96883 MIN: 9.53 MIN: 9.76 MIN: 9.73 MIN: 9.8 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU 1 2 3 4 5 10 15 20 25 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 21.59 21.46 21.59 21.72 MIN: 19.99 MIN: 20.02 MIN: 20.01 MIN: 20.05 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU 1 2 3 4 5 10 15 20 25 SE +/- 0.16, N = 3 SE +/- 0.26, N = 3 SE +/- 0.23, N = 3 SE +/- 0.23, N = 15 20.02 19.82 19.98 20.46 MIN: 18.88 MIN: 18.83 MIN: 18.83 MIN: 18.86 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU 1 2 3 4 8 16 24 32 40 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 34.99 35.08 35.06 35.19 MIN: 30.29 MIN: 32.66 MIN: 30.53 MIN: 32.2 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU 1 2 3 4 2K 4K 6K 8K 10K SE +/- 93.64, N = 3 SE +/- 74.29, N = 11 SE +/- 104.65, N = 15 SE +/- 113.91, N = 3 8155.36 8342.65 8103.95 8394.91 MIN: 7535.58 MIN: 7400.41 MIN: 7388.27 MIN: 7807.51 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU 1 2 3 4 1600 3200 4800 6400 8000 SE +/- 17.90, N = 3 SE +/- 8.54, N = 3 SE +/- 14.23, N = 3 SE +/- 27.70, N = 3 7519.82 7498.52 7499.59 7501.96 MIN: 7453.06 MIN: 7439.82 MIN: 7425.51 MIN: 7396.37 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU 1 2 3 4 2 4 6 8 10 SE +/- 0.01723, N = 3 SE +/- 0.05526, N = 3 SE +/- 0.00553, N = 3 SE +/- 0.00433, N = 3 6.89532 6.99297 6.91070 6.89369 MIN: 6.63 MIN: 6.73 MIN: 6.71 MIN: 6.69 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Opus Codec Encoding Opus is an open audio codec. Opus is a lossy audio compression format designed primarily for interactive real-time applications over the Internet. This test uses Opus-Tools and measures the time required to encode a WAV file to Opus. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Opus Codec Encoding 1.3.1 WAV To Opus Encode 1 2 3 2 4 6 8 10 SE +/- 0.047, N = 5 SE +/- 0.063, N = 5 SE +/- 0.027, N = 5 8.409 8.540 8.382 1. (CXX) g++ options: -fvisibility=hidden -logg -lm
PHPBench PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite 1 2 3 110K 220K 330K 440K 550K SE +/- 4398.89, N = 3 SE +/- 2872.36, N = 3 SE +/- 3539.26, N = 3 517313 520765 520417
OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 5 1 2 3 4 0.1919 0.3838 0.5757 0.7676 0.9595 SE +/- 0.004, N = 3 SE +/- 0.000, N = 3 SE +/- 0.005, N = 3 SE +/- 0.006, N = 3 0.848 0.853 0.848 0.853
OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 6 1 2 3 4 0.2453 0.4906 0.7359 0.9812 1.2265 SE +/- 0.007, N = 3 SE +/- 0.002, N = 3 SE +/- 0.006, N = 3 SE +/- 0.005, N = 3 1.088 1.078 1.090 1.077
OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 10 1 2 3 4 0.5834 1.1668 1.7502 2.3336 2.917 SE +/- 0.012, N = 3 SE +/- 0.004, N = 3 SE +/- 0.014, N = 3 SE +/- 0.008, N = 3 2.569 2.593 2.575 2.577
OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: SADD 1 2 3 300K 600K 900K 1200K 1500K SE +/- 23486.62, N = 13 SE +/- 29790.86, N = 13 SE +/- 8565.40, N = 3 1625716.67 1613560.77 1575249.37 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: LPUSH 1 2 3 200K 400K 600K 800K 1000K SE +/- 18152.00, N = 15 SE +/- 14151.84, N = 15 SE +/- 15401.38, N = 5 1120777.87 1134102.71 1150279.50 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: GET 1 2 3 400K 800K 1200K 1600K 2000K SE +/- 41912.87, N = 12 SE +/- 16816.34, N = 10 SE +/- 10868.80, N = 3 2002260.29 1837364.39 1826116.87 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: SET 1 2 3 300K 600K 900K 1200K 1500K SE +/- 16819.77, N = 15 SE +/- 13500.87, N = 3 SE +/- 22164.72, N = 3 1360473.30 1410438.04 1411275.42 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
simdjson This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: Kostya 1 2 3 4 0.09 0.18 0.27 0.36 0.45 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.4 0.4 0.4 0.4 1. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: LargeRandom 1 2 3 4 0.0765 0.153 0.2295 0.306 0.3825 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.34 0.34 0.34 0.34 1. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: PartialTweets 1 2 3 4 0.099 0.198 0.297 0.396 0.495 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.44 0.44 0.44 0.44 1. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: DistinctUserID 1 2 3 4 0.1013 0.2026 0.3039 0.4052 0.5065 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.45 0.45 0.45 0.45 1. (CXX) g++ options: -O3 -pthread
Stockfish This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 12 Total Time 1 2 3 4 1.7M 3.4M 5.1M 6.8M 8.5M SE +/- 95465.05, N = 3 SE +/- 128808.86, N = 3 SE +/- 81107.31, N = 3 SE +/- 89981.20, N = 3 7702974 7764480 7646379 7750184 1. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
Sunflow Rendering System This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis 1 2 3 0.5762 1.1524 1.7286 2.3048 2.881 SE +/- 0.014, N = 3 SE +/- 0.015, N = 3 SE +/- 0.034, N = 3 2.515 2.561 2.547 MIN: 2.3 / MAX: 3.5 MIN: 2.32 / MAX: 3.38 MIN: 2.31 / MAX: 3.25
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 1 2 3 4 30 60 90 120 150 SE +/- 0.08, N = 3 SE +/- 0.29, N = 3 SE +/- 0.45, N = 3 SE +/- 0.26, N = 3 126.30 126.32 126.14 126.65 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 1 2 3 60 120 180 240 300 SE +/- 0.91, N = 3 SE +/- 0.75, N = 3 SE +/- 0.96, N = 3 294.50 292.85 291.12 MIN: 285.67 / MAX: 317.77 MIN: 282.82 / MAX: 346.97 MIN: 282.45 / MAX: 314.39 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 1 2 3 60 120 180 240 300 SE +/- 0.50, N = 3 SE +/- 0.78, N = 3 SE +/- 0.02, N = 3 275.71 274.07 273.15 MIN: 273.13 / MAX: 289 MIN: 272.51 / MAX: 277.76 MIN: 272.72 / MAX: 273.64 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
x265 This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K 1 2 3 4 1.197 2.394 3.591 4.788 5.985 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 5.31 5.32 5.30 5.30 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 1080p 1 2 3 4 5 10 15 20 25 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.01, N = 3 SE +/- 0.13, N = 3 22.75 22.54 22.55 22.84 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8101016Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-2ubuntu219.10)Python Notes: Python 2.7.17rc1 + Python 3.7.5Security 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 15 January 2021 06:34 by user phoronix.
2 Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8101016Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-2ubuntu219.10)Python Notes: Python 2.7.17rc1 + Python 3.7.5Security 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 15 January 2021 13:21 by user phoronix.
3 Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8101016Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-2ubuntu219.10)Python Notes: Python 2.7.17rc1 + Python 3.7.5Security 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 15 January 2021 20:41 by user phoronix.
4 Processor: AMD Ryzen 5 2400G @ 3.60GHz (4 Cores / 8 Threads), Motherboard: MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NM BIOS), Chipset: AMD Raven/Raven2, Memory: 6GB, Disk: 120GB Corsair Force MP500, Graphics: MSI AMD Radeon Vega / Mobile 2GB (1250/1467MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: G237HL, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 19.10, Kernel: 5.3.0-64-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.5 Mesa 19.2.8 (LLVM 9.0.0), Vulkan: 1.1.107, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8101016Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-2ubuntu219.10)Python Notes: Python 2.7.17rc1 + Python 3.7.5Security 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 16 January 2021 05:51 by user phoronix.