AMD Ryzen 3 2200G testing with a ASUS PRIME B350M-E (5220 BIOS) and ASUS AMD Radeon Vega / Mobile 2GB on Ubuntu 20.04 via the Phoronix Test Suite.
Linux 5.4 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: 0x8101016Python Notes: Python 2.7.18rc1 + 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
2 Processor: AMD Ryzen 3 2200G @ 3.50GHz (4 Cores), Motherboard: ASUS PRIME B350M-E (5220 BIOS), Chipset: AMD Raven/Raven2, Memory: 6GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: ASUS AMD Radeon Vega / Mobile 2GB (1100/1600MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: G237HL, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 20.04, Kernel: 5.4.0-45-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, 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
3 4 OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, 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
LeelaChessZero LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: BLAS Linux 5.4 4 2 3 90 180 270 360 450 SE +/- 6.74, N = 3 SE +/- 4.91, N = 3 SE +/- 3.92, N = 9 SE +/- 4.90, N = 9 404 401 361 297 1. (CXX) g++ options: -flto -pthread
InfluxDB This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 Linux 5.4 3 4 200K 400K 600K 800K 1000K SE +/- 9009.48, N = 12 SE +/- 7240.48, N = 12 SE +/- 9544.04, N = 12 786957.3 773293.4 765195.3
LeelaChessZero LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Eigen Linux 5.4 4 2 3 90 180 270 360 450 SE +/- 1.20, N = 3 SE +/- 4.58, N = 3 SE +/- 3.33, N = 3 SE +/- 2.85, N = 3 438 426 385 338 1. (CXX) g++ options: -flto -pthread
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 4 2 3 Linux 5.4 70 140 210 280 350 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 340.66 340.68 340.71 340.78
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 5.4 2 3 4 2 4 6 8 10 SE +/- 0.00892, N = 3 SE +/- 0.00521, N = 3 SE +/- 0.00580, N = 3 SE +/- 0.00193, N = 3 6.52438 6.54038 6.54258 6.56050
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny Linux 5.4 3 2 4 20 40 60 80 100 SE +/- 0.38, N = 3 SE +/- 0.21, N = 3 SE +/- 0.21, N = 3 SE +/- 0.13, N = 3 89.97 90.22 90.67 90.85 MIN: 86.37 / MAX: 95.25 MIN: 87.2 / MAX: 95.93 MIN: 87.25 / MAX: 95.6 MIN: 87.36 / MAX: 95.33 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet50 Linux 5.4 3 2 4 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 94.98 95.06 95.07 95.12 MIN: 93.08 / MAX: 96.95 MIN: 93.47 / MAX: 97.41 MIN: 92.99 / MAX: 97.7 MIN: 93.25 / MAX: 96.86 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: alexnet 3 Linux 5.4 2 4 9 18 27 36 45 SE +/- 0.16, N = 3 SE +/- 0.26, N = 3 SE +/- 0.29, N = 3 SE +/- 0.21, N = 3 40.67 40.74 40.81 40.96 MIN: 34.17 / MAX: 53.49 MIN: 34.04 / MAX: 53.43 MIN: 34.08 / MAX: 53.99 MIN: 34.27 / MAX: 53.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet18 2 3 Linux 5.4 4 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 41.28 41.30 41.31 41.32 MIN: 40.22 / MAX: 43.6 MIN: 40.15 / MAX: 43.27 MIN: 40.11 / MAX: 43.66 MIN: 40.2 / MAX: 43.57 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: vgg16 2 4 3 Linux 5.4 80 160 240 320 400 SE +/- 0.40, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.38, N = 3 346.42 346.54 347.04 347.20 MIN: 328.45 / MAX: 377.97 MIN: 329.3 / MAX: 378.3 MIN: 328.15 / MAX: 377.61 MIN: 327.56 / MAX: 378.35 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: googlenet 3 2 4 Linux 5.4 12 24 36 48 60 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 51.68 51.74 51.75 51.79 MIN: 50.8 / MAX: 52.72 MIN: 50.82 / MAX: 52.73 MIN: 50.77 / MAX: 52.84 MIN: 50.88 / MAX: 52.88 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: blazeface 3 2 4 Linux 5.4 0.666 1.332 1.998 2.664 3.33 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 2.91 2.92 2.92 2.96 MIN: 2.75 / MAX: 3.73 MIN: 2.75 / MAX: 3.79 MIN: 2.77 / MAX: 3.44 MIN: 2.76 / MAX: 4.88 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 2 Linux 5.4 4 3 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 32.09 32.12 32.13 32.14 MIN: 31.58 / MAX: 33.23 MIN: 31.5 / MAX: 32.93 MIN: 31.62 / MAX: 32.91 MIN: 31.56 / MAX: 32.98 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mnasnet 4 3 Linux 5.4 2 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 17.48 17.50 17.54 17.54 MIN: 17.06 / MAX: 18.32 MIN: 17.07 / MAX: 18.23 MIN: 17.1 / MAX: 18.53 MIN: 17 / MAX: 18.31 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 Linux 5.4 3 4 2 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 9.62 9.62 9.62 9.65 MIN: 9.16 / MAX: 10.33 MIN: 9.23 / MAX: 10.36 MIN: 9.19 / MAX: 10.38 MIN: 9.25 / MAX: 10.28 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 Linux 5.4 3 4 2 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 17.01 17.01 17.01 17.03 MIN: 16.56 / MAX: 17.62 MIN: 16.6 / MAX: 17.77 MIN: 16.63 / MAX: 17.83 MIN: 16.59 / MAX: 17.85 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 2 Linux 5.4 3 4 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 16.11 16.13 16.13 16.14 MIN: 15.7 / MAX: 17.14 MIN: 15.69 / MAX: 16.75 MIN: 15.67 / MAX: 16.78 MIN: 15.65 / MAX: 16.98 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mobilenet 2 4 3 Linux 5.4 10 20 30 40 50 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.47, N = 3 SE +/- 0.54, N = 3 41.68 41.86 41.94 42.63 MIN: 39.08 / MAX: 44.75 MIN: 39.04 / MAX: 46.2 MIN: 39.16 / MAX: 45.32 MIN: 39.31 / MAX: 45.41 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: squeezenet 2 Linux 5.4 4 3 14 28 42 56 70 SE +/- 0.11, N = 3 SE +/- 0.23, N = 3 SE +/- 0.09, N = 3 SE +/- 0.36, N = 3 62.25 62.29 62.34 62.36 MIN: 59.82 / MAX: 65.31 MIN: 59.72 / MAX: 64.7 MIN: 59.37 / MAX: 65.14 MIN: 58.92 / MAX: 65.07 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Apache CouchDB This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 2 Linux 5.4 3 4 40 80 120 160 200 SE +/- 1.03, N = 3 SE +/- 1.76, N = 3 SE +/- 1.97, N = 3 SE +/- 1.63, N = 3 189.31 190.00 190.87 191.38 1. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
InfluxDB This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 Linux 5.4 4 3 200K 400K 600K 800K 1000K SE +/- 11398.72, N = 4 SE +/- 9916.96, N = 5 SE +/- 7009.04, N = 3 793409.4 782956.1 773292.5
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 2 3 Linux 5.4 4 16 32 48 64 80 SE +/- 0.35, N = 3 SE +/- 0.08, N = 3 SE +/- 0.29, N = 3 SE +/- 0.18, N = 3 73.66 73.80 73.86 73.99 MIN: 72.87 / MAX: 97.35 MIN: 73.14 / MAX: 88.1 MIN: 73.07 / MAX: 85.95 MIN: 73.27 / MAX: 86.03 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 2 4 Linux 5.4 3 3 6 9 12 15 SE +/- 0.013, N = 3 SE +/- 0.017, N = 3 SE +/- 0.026, N = 3 SE +/- 0.011, N = 3 9.554 9.572 9.576 9.588 MIN: 9.42 / MAX: 11.28 MIN: 9.44 / MAX: 11.42 MIN: 9.45 / MAX: 21.34 MIN: 9.49 / MAX: 16.2 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 4 2 Linux 5.4 3 2 4 6 8 10 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.009, N = 3 SE +/- 0.004, N = 3 6.495 6.498 6.501 6.523 MIN: 6.45 / MAX: 9.26 MIN: 6.44 / MAX: 8.03 MIN: 6.45 / MAX: 7.34 MIN: 6.46 / MAX: 9.12 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 2 3 Linux 5.4 4 12 24 36 48 60 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 55.39 55.44 55.44 55.45 MIN: 55.01 / MAX: 106.24 MIN: 55.1 / MAX: 67.76 MIN: 55.1 / MAX: 67.33 MIN: 55.14 / MAX: 67.54 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 2020-09-17 Model: SqueezeNetV1.0 2 4 Linux 5.4 3 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 12.21 12.22 12.24 12.28 MIN: 12.11 / MAX: 19.57 MIN: 12.11 / MAX: 24.49 MIN: 12.11 / MAX: 13.22 MIN: 12.13 / MAX: 24.69 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
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 3 4 2 Linux 5.4 700 1400 2100 2800 3500 SE +/- 0.67, N = 3 SE +/- 1.33, N = 3 SE +/- 10.11, N = 3 3047 3046 3041 3027
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny 3 Linux 5.4 2 4 14 28 42 56 70 SE +/- 0.06, N = 3 SE +/- 0.16, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 62.33 62.35 62.52 62.60 MIN: 58.97 / MAX: 73.33 MIN: 59.09 / MAX: 66.92 MIN: 57.05 / MAX: 66.12 MIN: 57.9 / MAX: 88.49 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 Linux 5.4 2 4 3 14 28 42 56 70 SE +/- 0.09, N = 3 SE +/- 0.66, N = 3 SE +/- 0.35, N = 3 SE +/- 0.76, N = 3 62.37 62.66 62.83 62.99 MIN: 61.31 / MAX: 69.22 MIN: 60.51 / MAX: 70.33 MIN: 61.27 / MAX: 70.91 MIN: 60.88 / MAX: 82.83 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet 2 3 Linux 5.4 4 6 12 18 24 30 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 25.59 25.59 25.75 25.81 MIN: 24.99 / MAX: 27.9 MIN: 24.89 / MAX: 28.19 MIN: 25.2 / MAX: 29.47 MIN: 25.09 / MAX: 37.34 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 3 2 4 Linux 5.4 7 14 21 28 35 SE +/- 0.14, N = 3 SE +/- 0.14, N = 3 SE +/- 0.17, N = 3 SE +/- 0.65, N = 3 28.01 28.03 28.19 28.68 MIN: 27.44 / MAX: 31.26 MIN: 27.39 / MAX: 43.04 MIN: 27.47 / MAX: 31.73 MIN: 27.48 / MAX: 42 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 Linux 5.4 3 4 2 20 40 60 80 100 SE +/- 0.21, N = 3 SE +/- 0.44, N = 3 SE +/- 0.20, N = 3 SE +/- 0.14, N = 3 109.08 109.31 109.54 109.82 MIN: 107.27 / MAX: 122.26 MIN: 106.9 / MAX: 125.2 MIN: 107.29 / MAX: 117.33 MIN: 107.59 / MAX: 122.1 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet 3 2 Linux 5.4 4 7 14 21 28 35 SE +/- 0.23, N = 3 SE +/- 0.26, N = 3 SE +/- 0.21, N = 3 SE +/- 0.26, N = 3 30.73 30.87 31.00 31.52 MIN: 30.02 / MAX: 35.54 MIN: 29.93 / MAX: 35.29 MIN: 30.04 / MAX: 34.74 MIN: 30.03 / MAX: 37.28 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface 2 Linux 5.4 3 4 0.459 0.918 1.377 1.836 2.295 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.01 2.03 2.04 2.04 MIN: 1.92 / MAX: 2.28 MIN: 1.94 / MAX: 2.19 MIN: 1.93 / MAX: 2.36 MIN: 1.94 / MAX: 2.17 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 3 4 Linux 5.4 2 4 8 12 16 20 SE +/- 0.19, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 14.64 14.69 14.81 14.85 MIN: 13.68 / MAX: 16.13 MIN: 13.68 / MAX: 16.11 MIN: 13.71 / MAX: 17.03 MIN: 13.7 / MAX: 18.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet 4 3 2 Linux 5.4 3 6 9 12 15 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 9.12 9.15 9.21 9.22 MIN: 8.48 / MAX: 10.15 MIN: 8.47 / MAX: 9.94 MIN: 8.44 / MAX: 10.32 MIN: 8.5 / MAX: 10.64 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 2 Linux 5.4 4 3 1.314 2.628 3.942 5.256 6.57 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 5.74 5.78 5.83 5.84 MIN: 5.21 / MAX: 6.02 MIN: 5.24 / MAX: 6.91 MIN: 5.23 / MAX: 6.03 MIN: 5.23 / MAX: 6.58 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 Linux 5.4 2 3 4 2 4 6 8 10 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 8.57 8.58 8.62 8.69 MIN: 7.88 / MAX: 13.53 MIN: 7.85 / MAX: 10.59 MIN: 7.86 / MAX: 10.22 MIN: 7.86 / MAX: 11.35 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 Linux 5.4 3 4 2 3 6 9 12 15 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 9.87 9.89 9.92 9.94 MIN: 8.95 / MAX: 12.73 MIN: 8.97 / MAX: 11.97 MIN: 8.98 / MAX: 20.55 MIN: 8.91 / MAX: 20.36 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet 2 Linux 5.4 3 4 10 20 30 40 50 SE +/- 0.11, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 43.91 43.93 43.99 44.10 MIN: 42 / MAX: 46.77 MIN: 41.99 / MAX: 47.2 MIN: 42.14 / MAX: 45.69 MIN: 42.13 / MAX: 55.35 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet 2 3 Linux 5.4 4 8 16 24 32 40 SE +/- 0.25, N = 3 SE +/- 0.17, N = 3 SE +/- 0.25, N = 3 SE +/- 0.36, N = 3 35.14 35.23 35.33 35.85 MIN: 32.24 / MAX: 47.09 MIN: 32.61 / MAX: 38.51 MIN: 33.03 / MAX: 37.53 MIN: 32.64 / MAX: 43.33 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 3 Linux 5.4 4 2 30 60 90 120 150 SE +/- 0.31, N = 3 SE +/- 0.24, N = 3 SE +/- 0.13, N = 3 SE +/- 0.54, N = 3 128.16 128.58 128.65 128.75 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Linux 5.4 4 2 3 20K 40K 60K 80K 100K SE +/- 279.29, N = 3 SE +/- 260.33, N = 3 SE +/- 67.16, N = 3 SE +/- 343.88, N = 3 107710 107984 108035 108044 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
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 3 2 Linux 5.4 4 60 120 180 240 300 SE +/- 1.06, N = 3 SE +/- 2.67, N = 8 SE +/- 2.45, N = 3 SE +/- 2.18, N = 3 283.48 266.58 265.13 264.97 MIN: 190.36 / MAX: 387.21 MIN: 179.09 / MAX: 387.07 MIN: 176.52 / MAX: 363.75 MIN: 181.77 / MAX: 363.73 1. mpv 0.32.0
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 5.4 2 3 4 60K 120K 180K 240K 300K SE +/- 4260.65, N = 3 SE +/- 3502.27, N = 5 SE +/- 3748.57, N = 3 SE +/- 2716.69, N = 3 285622.34 285190.19 276848.47 276710.21 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
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 2 3 Linux 5.4 4 3 6 9 12 15 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 10.19 10.18 10.17 10.10 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
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 2 3 Linux 5.4 4 5 10 15 20 25 SE +/- 0.17, N = 3 SE +/- 0.22, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 20.42 20.25 20.23 19.95 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Linux 5.4 3 4 2 13 26 39 52 65 SE +/- 0.05, N = 3 SE +/- 0.16, N = 3 SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 55.45 55.51 55.55 55.73 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
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 3 4 Linux 5.4 2 11 22 33 44 55 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 50.68 50.87 50.92 50.94 1. (CC) gcc options: -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 5.4 2 4 8 16 24 32 40 SE +/- 0.03, N = 4 SE +/- 0.11, N = 4 SE +/- 0.09, N = 4 SE +/- 0.04, N = 4 34.63 34.73 34.74 34.76 1. (CC) gcc options: -O2 -std=c99
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 Linux 5.4 3 2 4 0.5108 1.0216 1.5324 2.0432 2.554 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.27 2.26 2.26 2.24 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
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 3 4 2 Linux 5.4 9K 18K 27K 36K 45K SE +/- 110.34, N = 3 SE +/- 189.67, N = 3 SE +/- 32.54, N = 3 SE +/- 127.82, N = 3 41257 41272 41371 41405 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
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 2 4 3 Linux 5.4 0.315 0.63 0.945 1.26 1.575 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.40 1.39 1.39 1.39 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
MPV MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better MPV Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only 3 2 4 Linux 5.4 150 300 450 600 750 SE +/- 1.96, N = 3 SE +/- 1.22, N = 3 SE +/- 2.69, N = 3 SE +/- 1.50, N = 3 680.10 677.47 677.34 676.46 MIN: 461.69 / MAX: 922.69 MIN: 461.28 / MAX: 923.34 MIN: 479.6 / MAX: 923.36 MIN: 499.55 / MAX: 923.32 1. mpv 0.32.0
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Linux 5.4 4 3 2 6 12 18 24 30 SE +/- 0.36, N = 3 SE +/- 0.30, N = 3 SE +/- 0.34, N = 4 SE +/- 0.05, N = 3 23.35 23.73 23.84 24.11 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
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 2 Linux 5.4 3 4 5 10 15 20 25 SE +/- 0.04, N = 3 SE +/- 0.24, N = 3 SE +/- 0.34, N = 4 SE +/- 0.13, N = 3 22.36 22.57 22.90 22.93 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
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 5.4 2 4 6 12 18 24 30 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 27.00 26.95 26.93 26.85 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
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 2 4 Linux 5.4 3 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 20.84 20.92 20.92 20.98
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 3 Linux 5.4 2 4 60 120 180 240 300 SE +/- 0.12, N = 3 SE +/- 0.20, N = 3 SE +/- 0.29, N = 3 SE +/- 0.19, N = 3 291.41 291.58 291.67 292.12 MIN: 290.58 / MAX: 299.43 MIN: 290.45 / MAX: 299.85 MIN: 290.34 / MAX: 300.21 MIN: 291.06 / MAX: 300.06 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 2 4 3 Linux 5.4 60 120 180 240 300 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.23, N = 3 288.42 288.49 288.50 288.81 MIN: 287.9 / MAX: 288.99 MIN: 287.92 / MAX: 289.43 MIN: 288.13 / MAX: 288.88 MIN: 288.01 / MAX: 289.57 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -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, Highest Compression 3 4 2 Linux 5.4 2 4 6 8 10 SE +/- 0.002, N = 3 SE +/- 0.009, N = 3 SE +/- 0.010, N = 3 SE +/- 0.001, N = 3 8.727 8.742 8.744 8.747 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
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 2 4 3 Linux 5.4 4K 8K 12K 16K 20K SE +/- 250.01, N = 3 SE +/- 100.42, N = 3 SE +/- 130.68, N = 3 SE +/- 38.82, N = 3 16361.80 16267.33 16254.10 16224.02 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -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 3 Linux 5.4 4 2 0.6293 1.2586 1.8879 2.5172 3.1465 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.028, N = 3 2.763 2.765 2.769 2.797 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: Default 3 Linux 5.4 2 4 0.4095 0.819 1.2285 1.638 2.0475 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 1.819 1.820 1.820 1.820 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Linux 5.4 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: 0x8101016Python Notes: Python 2.7.18rc1 + 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 1 October 2020 06:14 by user phoronix.
2 Processor: AMD Ryzen 3 2200G @ 3.50GHz (4 Cores), Motherboard: ASUS PRIME B350M-E (5220 BIOS), Chipset: AMD Raven/Raven2, Memory: 6GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: ASUS AMD Radeon Vega / Mobile 2GB (1100/1600MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: G237HL, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 20.04, Kernel: 5.4.0-45-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, 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: 0x8101016Python Notes: Python 2.7.18rc1 + 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 1 October 2020 10:52 by user phoronix.
3 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: 0x8101016Python Notes: Python 2.7.18rc1 + 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 1 October 2020 16:08 by user phoronix.
4 Processor: AMD Ryzen 3 2200G @ 3.50GHz (4 Cores), Motherboard: ASUS PRIME B350M-E (5220 BIOS), Chipset: AMD Raven/Raven2, Memory: 6GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: ASUS AMD Radeon Vega / Mobile 2GB (1100/1600MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: G237HL, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, 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: 0x8101016Python Notes: Python 2.7.18rc1 + 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 1 October 2020 21:28 by user phoronix.