AMD Ryzen 3 3100 4-Core testing with a ASUS ROG CROSSHAIR VIII HERO (2702 BIOS) and AMD Radeon RX 56/64 8GB on Ubuntu 20.10 via the Phoronix Test Suite.
1 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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021Graphics Notes: GLAMORSecurity Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
2 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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021Graphics Notes: GLAMORJava Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)Python Notes: Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
3 Processor: AMD Ryzen 3 3100 4-Core @ 3.60GHz (4 Cores / 8 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (2702 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 1000GB Sabrent Rocket 4.0 1TB, Graphics: AMD Radeon RX 56/64 8GB (1590/800MHz), Audio: AMD Vega 10 HDMI Audio, Monitor: LG Ultra HD, Network: Realtek RTL8125 2.5GbE + Intel I211
OS: Ubuntu 20.10, Kernel: 5.8.0-29-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.2.1 (LLVM 11.0.0), Vulkan: 1.2.131, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
AOM AV1 This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 0 Two-Pass 1 3 2 0.0585 0.117 0.1755 0.234 0.2925 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.26 0.25 0.25 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass 3 1 2 0.4905 0.981 1.4715 1.962 2.4525 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 2.18 2.18 2.17 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Realtime 1 3 2 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 16.93 16.91 16.66 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass 3 1 2 0.7718 1.5436 2.3154 3.0872 3.859 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 3.43 3.43 3.42 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 8 Realtime 1 3 2 9 18 27 36 45 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.53, N = 3 37.09 37.07 36.18 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
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 3 1 2 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 7.37 7.39 7.39 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 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 8.30 8.30 8.30 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 3 2 12 24 36 48 60 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 52.39 52.40 52.46 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 3 2 90 180 270 360 450 SE +/- 0.13, N = 3 SE +/- 0.06, N = 3 SE +/- 0.16, N = 3 425.23 425.39 425.58 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Basis Universal Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: ETC1S 2 3 1 14 28 42 56 70 SE +/- 0.11, N = 3 SE +/- 0.15, N = 3 SE +/- 0.17, N = 3 62.69 62.77 62.80 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 0 2 3 1 3 6 9 12 15 SE +/- 0.018, N = 3 SE +/- 0.014, N = 3 SE +/- 0.015, N = 3 9.267 9.267 9.297 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 2 1 3 2 13 26 39 52 65 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 58.59 58.62 58.63 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 3 2 3 1 30 60 90 120 150 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 114.19 114.26 114.27 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 2 + RDO Post-Processing 2 1 3 150 300 450 600 750 SE +/- 0.97, N = 3 SE +/- 1.79, N = 3 SE +/- 1.97, N = 3 701.85 702.91 704.13 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Betsy GPU Compressor Betsy is an open-source GPU compressor of various GPU compression techniques. Betsy is written in GLSL for Vulkan/OpenGL (compute shader) support for GPU-based texture compression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Betsy GPU Compressor 1.1 Beta Codec: ETC1 - Quality: Highest 3 2 1 1.3048 2.6096 3.9144 5.2192 6.524 SE +/- 0.064, N = 3 SE +/- 0.062, N = 3 SE +/- 0.224, N = 15 5.602 5.608 5.799 1. (CXX) g++ options: -O3 -O2 -lpthread -ldl
Blender Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: CPU-Only 1 2 3 70 140 210 280 350 SE +/- 0.35, N = 3 SE +/- 0.44, N = 3 SE +/- 0.71, N = 3 323.46 324.80 325.17
BRL-CAD BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.30.8 VGR Performance Metric 1 3 2 12K 24K 36K 48K 60K 57419 56960 56730 1. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 3 2 1 11K 22K 33K 44K 55K SE +/- 27.06, N = 3 SE +/- 8.08, N = 3 SE +/- 14.01, N = 3 48962 49047 49082 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 3 1 2 30K 60K 90K 120K 150K SE +/- 73.69, N = 3 SE +/- 118.13, N = 3 SE +/- 32.70, N = 3 120291 120634 120679 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Boat - Acceleration: CPU-only 2 3 1 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 12.48 12.51 12.62
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Masskrug - Acceleration: CPU-only 2 1 3 2 4 6 8 10 SE +/- 0.006, N = 3 SE +/- 0.016, N = 3 SE +/- 0.018, N = 3 7.963 8.019 8.026
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Rack - Acceleration: CPU-only 2 1 3 0.0527 0.1054 0.1581 0.2108 0.2635 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.004, N = 3 0.229 0.230 0.234
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Room - Acceleration: CPU-only 2 3 1 2 4 6 8 10 SE +/- 0.010, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 6.274 6.292 6.318
DDraceNetwork This is a test of DDraceNetwork, an open-source cooperative platformer. OpenGL 3.3 is used for rendering, with fallbacks for older OpenGL versions. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better DDraceNetwork 15.2.3 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2 1 2 3 50 100 150 200 250 SE +/- 9.66, N = 15 SE +/- 13.98, N = 15 SE +/- 13.89, N = 12 236.14 214.08 203.50 MIN: 35.16 / MAX: 498.75 MIN: 33.12 / MAX: 476.64 MIN: 27.45 / MAX: 451.06 1. (CXX) g++ options: -O3 -rdynamic -lcrypto -lz -lrt -lpthread -lcurl -lfreetype -lSDL2 -lwavpack -lopusfile -lopus -logg -lGL -lX11 -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0
OpenBenchmarking.org Frames Per Second, More Is Better DDraceNetwork 15.2.3 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap 1 3 2 70 140 210 280 350 SE +/- 1.03, N = 3 SE +/- 0.66, N = 3 SE +/- 1.65, N = 3 334.97 333.51 331.87 MIN: 110.11 / MAX: 493.34 MIN: 109.02 / MAX: 495.29 MIN: 104.44 / MAX: 494.32 1. (CXX) g++ options: -O3 -rdynamic -lcrypto -lz -lrt -lpthread -lcurl -lfreetype -lSDL2 -lwavpack -lopusfile -lopus -logg -lGL -lX11 -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0
OpenBenchmarking.org Milliseconds, Fewer Is Better DDraceNetwork 15.2.3 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap - Total Frame Time 1 3 2 3 6 9 12 15 Min: 2.07 / Avg: 2.98 / Max: 7.54 Min: 2.02 / Avg: 3 / Max: 10.7 Min: 2.09 / Avg: 3.02 / Max: 7.16 1. (CXX) g++ options: -O3 -rdynamic -lcrypto -lz -lrt -lpthread -lcurl -lfreetype -lSDL2 -lwavpack -lopusfile -lopus -logg -lGL -lX11 -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0
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 3 2 1 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 17.68 17.70 17.76
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Crown 1 2 3 1.2076 2.4152 3.6228 4.8304 6.038 SE +/- 0.0401, N = 3 SE +/- 0.0092, N = 3 SE +/- 0.0526, N = 3 5.3673 5.3310 5.3162 MIN: 4.89 / MAX: 5.49 MIN: 5.3 / MAX: 5.4 MIN: 4.89 / MAX: 5.45
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown 1 2 3 1.1645 2.329 3.4935 4.658 5.8225 SE +/- 0.0016, N = 3 SE +/- 0.0124, N = 3 SE +/- 0.0320, N = 3 5.1754 5.1563 5.1464 MIN: 5.15 / MAX: 5.25 MIN: 5.11 / MAX: 5.25 MIN: 5.05 / MAX: 5.25
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon 3 1 2 2 4 6 8 10 SE +/- 0.0267, N = 3 SE +/- 0.0315, N = 3 SE +/- 0.0103, N = 3 6.2800 6.2294 6.1430 MIN: 6.21 / MAX: 6.4 MIN: 6.16 / MAX: 6.36 MIN: 6.1 / MAX: 6.24
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon 3 2 1 2 4 6 8 10 SE +/- 0.0025, N = 3 SE +/- 0.0098, N = 3 SE +/- 0.0222, N = 3 6.1401 6.1354 6.1185 MIN: 6.11 / MAX: 6.21 MIN: 6.09 / MAX: 6.22 MIN: 6.05 / MAX: 6.22
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 3 2 1 6K 12K 18K 24K 30K SE +/- 17.94, N = 3 SE +/- 19.99, N = 3 SE +/- 31.78, N = 3 25835.65 25808.66 25405.99 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
Geekbench This is a benchmark of Geekbench 5 Pro. The test profile automates the execution of Geekbench 5 under the Phoronix Test Suite, assuming you have a valid license key for Geekbench 5 Pro. This test will not work without a valid license key for Geekbench Pro. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better Geekbench 5 Test: GPU Vulkan 3 2 1 8K 16K 24K 32K 40K SE +/- 56.79, N = 3 SE +/- 115.14, N = 3 SE +/- 459.84, N = 3 36985 36793 36246
OpenBenchmarking.org Score, More Is Better Geekbench 5 Test: CPU Multi Core 3 2 1 1100 2200 3300 4400 5500 SE +/- 6.17, N = 3 SE +/- 7.09, N = 3 SE +/- 4.98, N = 3 5256 5248 5227
OpenBenchmarking.org Score, More Is Better Geekbench 5 Test: CPU Single Core 3 2 1 300 600 900 1200 1500 SE +/- 0.88, N = 3 SE +/- 1.33, N = 3 SE +/- 0.58, N = 3 1228 1228 1223
HPC Challenge HPC Challenge (HPCC) is a cluster-focused benchmark consisting of the HPL Linpack TPP benchmark, DGEMM, STREAM, PTRANS, RandomAccess, FFT, and communication bandwidth and latency. This HPC Challenge test profile attempts to ship with standard yet versatile configuration/input files though they can be modified. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFLOPS, More Is Better HPC Challenge 1.5.0 Test / Class: G-HPL 1 30 60 90 120 150 120.91 1. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops 2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.org GFLOPS, More Is Better HPC Challenge 1.5.0 Test / Class: G-Ffte 1 0.744 1.488 2.232 2.976 3.72 3.30686 1. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops 2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.org GFLOPS, More Is Better HPC Challenge 1.5.0 Test / Class: EP-DGEMM 1 12 24 36 48 60 55.51 1. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops 2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.org GB/s, More Is Better HPC Challenge 1.5.0 Test / Class: G-Ptrans 1 0.1471 0.2942 0.4413 0.5884 0.7355 0.65366 1. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops 2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.org GB/s, More Is Better HPC Challenge 1.5.0 Test / Class: EP-STREAM Triad 1 2 4 6 8 10 6.74179 1. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops 2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.org GUP/s, More Is Better HPC Challenge 1.5.0 Test / Class: G-Random Access 1 0.0045 0.009 0.0135 0.018 0.0225 0.02004 1. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops 2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.org usecs, Fewer Is Better HPC Challenge 1.5.0 Test / Class: Random Ring Latency 1 0.0887 0.1774 0.2661 0.3548 0.4435 0.39400 1. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops 2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.org GB/s, More Is Better HPC Challenge 1.5.0 Test / Class: Random Ring Bandwidth 1 1.1163 2.2326 3.3489 4.4652 5.5815 4.96131 1. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops 2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.org MB/s, More Is Better HPC Challenge 1.5.0 Test / Class: Max Ping Pong Bandwidth 1 3K 6K 9K 12K 15K 14400.77 1. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops 2. ATLAS + Open MPI 4.0.3
Hugin Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Hugin Panorama Photo Assistant + Stitching Time 2 1 3 14 28 42 56 70 SE +/- 0.43, N = 3 SE +/- 0.29, N = 3 SE +/- 0.37, N = 3 61.97 62.00 62.71
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar 3 2 1 0.4406 0.8812 1.3218 1.7624 2.203 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 1.958 1.958 1.954
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 1 2 1.5M 3M 4.5M 6M 7.5M SE +/- 717516.50, N = 2 6926419 6434795 1. (CXX) g++ options: -O3 -fopenmp
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 3 2 1 0.657 1.314 1.971 2.628 3.285 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 2.92 2.92 2.91 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 3 2 1 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 12.76 12.75 12.72 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 2 1 3 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 8.03 8.03 8.01 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 2 3 1 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 14.63 14.60 14.55 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 3 2 1 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 32.38 32.38 32.34 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 2 3 1 13 26 39 52 65 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 57.57 57.47 57.37 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Eigen 1 2 3 160 320 480 640 800 SE +/- 4.41, N = 3 SE +/- 9.06, N = 5 SE +/- 7.37, N = 9 730 688 638 1. (CXX) g++ options: -flto -pthread
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed 3 2 1 2K 4K 6K 8K 10K SE +/- 11.80, N = 3 SE +/- 12.36, N = 3 SE +/- 46.13, N = 3 11202.6 11146.3 11116.3 1. (CC) gcc options: -O3
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed 2 1 3 12 24 36 48 60 SE +/- 0.85, N = 3 SE +/- 0.84, N = 3 SE +/- 0.28, N = 3 53.60 53.56 52.55 1. (CC) gcc options: -O3
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed 2 3 1 2K 4K 6K 8K 10K SE +/- 18.42, N = 3 SE +/- 22.07, N = 3 SE +/- 12.91, N = 3 10635.3 10588.0 10496.6 1. (CC) gcc options: -O3
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed 1 3 2 12 24 36 48 60 SE +/- 0.72, N = 3 SE +/- 0.03, N = 3 SE +/- 0.27, N = 3 52.50 51.45 51.20 1. (CC) gcc options: -O3
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed 2 3 1 2K 4K 6K 8K 10K SE +/- 8.30, N = 3 SE +/- 26.11, N = 3 SE +/- 23.62, N = 3 10711.5 10653.0 10575.6 1. (CC) gcc options: -O3
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression 1 2 3 0.7245 1.449 2.1735 2.898 3.6225 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 3.19 3.20 3.22
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 2 1 3 2 4 6 8 10 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.018, N = 3 8.848 8.853 8.874 MIN: 8.76 / MAX: 9.86 MIN: 8.76 / MAX: 11.24 MIN: 8.77 / MAX: 11.46 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 1 2 3 8 16 24 32 40 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.25, N = 3 34.93 35.00 35.17 MIN: 34.38 / MAX: 58.39 MIN: 34.7 / MAX: 43.77 MIN: 34.65 / MAX: 80.67 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 3 2 1 1.1108 2.2216 3.3324 4.4432 5.554 SE +/- 0.030, N = 3 SE +/- 0.020, N = 3 SE +/- 0.018, N = 3 4.910 4.936 4.937 MIN: 4.82 / MAX: 6.27 MIN: 4.86 / MAX: 5.66 MIN: 4.86 / MAX: 5.44 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 3 1 2 1.3104 2.6208 3.9312 5.2416 6.552 SE +/- 0.015, N = 3 SE +/- 0.016, N = 3 SE +/- 0.028, N = 3 5.811 5.819 5.824 MIN: 5.73 / MAX: 15.06 MIN: 5.74 / MAX: 6.34 MIN: 5.72 / MAX: 25.28 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: inception-v3 2 3 1 10 20 30 40 50 SE +/- 0.08, N = 3 SE +/- 0.17, N = 3 SE +/- 0.08, N = 3 42.44 42.55 42.57 MIN: 42.09 / MAX: 51.33 MIN: 42.02 / MAX: 58.27 MIN: 42.21 / MAX: 51.92 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Monte Carlo Simulations of Ionised Nebulae Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Monte Carlo Simulations of Ionised Nebulae 2019-03-24 Input: Dust 2D tau100.0 1 2 3 60 120 180 240 300 SE +/- 0.58, N = 3 SE +/- 0.67, N = 3 SE +/- 0.88, N = 3 288 288 288 1. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz
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 2 3 1 100 200 300 400 500 SE +/- 0.40, N = 3 SE +/- 0.38, N = 3 SE +/- 0.40, N = 3 457.51 456.91 454.91 MIN: 299.99 / MAX: 666.65 MIN: 292.67 / MAX: 631.56 MIN: 299.99 / MAX: 631.56 1. mpv 0.32.0
OpenBenchmarking.org FPS, More Is Better MPV Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only 2 3 1 300 600 900 1200 1500 SE +/- 2.23, N = 3 SE +/- 7.87, N = 3 SE +/- 2.29, N = 3 1305.29 1304.01 1300.12 MIN: 799.97 / MAX: 2399.92 MIN: 799.97 / MAX: 2399.92 MIN: 749.97 / MAX: 2399.95 1. mpv 0.32.0
NAMD NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms 2 3 1 1.0114 2.0228 3.0342 4.0456 5.057 SE +/- 0.00085, N = 3 SE +/- 0.00219, N = 3 SE +/- 0.00243, N = 3 4.48209 4.48308 4.49500
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet 2 3 1 5 10 15 20 25 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 21.67 21.83 21.87 MIN: 21.39 / MAX: 37.01 MIN: 21.56 / MAX: 22.96 MIN: 21.59 / MAX: 23.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet 2 3 1 6 12 18 24 30 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 SE +/- 0.18, N = 3 23.71 23.71 23.82 MIN: 23.3 / MAX: 24.65 MIN: 23.46 / MAX: 24.96 MIN: 23.36 / MAX: 24.99 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 2 1 3 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 6.64 6.66 6.68 MIN: 6.54 / MAX: 7.9 MIN: 6.56 / MAX: 7.93 MIN: 6.59 / MAX: 8.01 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 2 1 3 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 6.11 6.18 6.25 MIN: 6.03 / MAX: 7.3 MIN: 6.11 / MAX: 7.82 MIN: 6.11 / MAX: 37.7 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 1 2 3 1.089 2.178 3.267 4.356 5.445 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 4.79 4.82 4.84 MIN: 4.65 / MAX: 5.62 MIN: 4.76 / MAX: 6 MIN: 4.76 / MAX: 5.65 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet 2 3 1 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 6.27 6.30 6.32 MIN: 6.2 / MAX: 7.42 MIN: 6.22 / MAX: 7.04 MIN: 6.26 / MAX: 7.07 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 2 3 1 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 9.10 9.16 9.21 MIN: 9.02 / MAX: 9.48 MIN: 9.06 / MAX: 9.6 MIN: 9.07 / MAX: 14.29 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface 2 3 1 0.4388 0.8776 1.3164 1.7552 2.194 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 1.92 1.92 1.95 MIN: 1.88 / MAX: 2.17 MIN: 1.89 / MAX: 2.52 MIN: 1.9 / MAX: 2.15 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet 2 1 3 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 19.30 19.42 19.51 MIN: 19.11 / MAX: 38.78 MIN: 19.3 / MAX: 24.48 MIN: 19.37 / MAX: 20.62 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 2 1 3 16 32 48 64 80 SE +/- 0.22, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 72.10 72.57 72.72 MIN: 71.61 / MAX: 88.56 MIN: 72.08 / MAX: 107.37 MIN: 72.42 / MAX: 80.73 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 2 1 3 4 8 12 16 20 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 17.75 17.83 18.00 MIN: 17.57 / MAX: 18.32 MIN: 17.65 / MAX: 21.58 MIN: 17.88 / MAX: 18.52 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet 2 3 1 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 18.57 18.81 18.95 MIN: 18.49 / MAX: 19.27 MIN: 18.72 / MAX: 19.3 MIN: 18.85 / MAX: 19.3 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 2 3 1 9 18 27 36 45 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 37.05 37.31 37.32 MIN: 36.81 / MAX: 38.07 MIN: 37.14 / MAX: 39.49 MIN: 37.15 / MAX: 39.69 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny 2 1 3 8 16 24 32 40 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 32.84 32.96 33.20 MIN: 32.57 / MAX: 55.87 MIN: 32.78 / MAX: 34.14 MIN: 32.95 / MAX: 34.47 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: squeezenet 1 2 3 1.0913 2.1826 3.2739 4.3652 5.4565 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 4.84 4.85 4.85 MIN: 4.71 / MAX: 5.84 MIN: 4.69 / MAX: 5.86 MIN: 4.71 / MAX: 5.84 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mobilenet 2 3 1 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 8.25 8.27 8.28 MIN: 7.57 / MAX: 11.24 MIN: 7.6 / MAX: 11.3 MIN: 7.59 / MAX: 11.65 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 1 2 3 0.5805 1.161 1.7415 2.322 2.9025 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.57 2.58 2.58 MIN: 2.53 / MAX: 3.17 MIN: 2.53 / MAX: 5.2 MIN: 2.53 / MAX: 3.72 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 1 2 3 0.8055 1.611 2.4165 3.222 4.0275 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 3.57 3.58 3.58 MIN: 3.54 / MAX: 4.28 MIN: 3.53 / MAX: 4.28 MIN: 3.54 / MAX: 4.3 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 1 3 2 0.5243 1.0486 1.5729 2.0972 2.6215 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.32 2.32 2.33 MIN: 2.28 / MAX: 3.46 MIN: 2.29 / MAX: 2.74 MIN: 2.3 / MAX: 2.98 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mnasnet 2 3 1 0.6255 1.251 1.8765 2.502 3.1275 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 2.76 2.76 2.78 MIN: 2.72 / MAX: 3.3 MIN: 2.71 / MAX: 3.28 MIN: 2.71 / MAX: 15.58 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 1 2 3 3 6 9 12 15 SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 9.33 9.34 9.36 MIN: 8.97 / MAX: 19.5 MIN: 8.93 / MAX: 17.56 MIN: 8.96 / MAX: 20 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: blazeface 3 2 1 0.2048 0.4096 0.6144 0.8192 1.024 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 0.87 0.88 0.91 MIN: 0.85 / MAX: 1.15 MIN: 0.86 / MAX: 1.45 MIN: 0.85 / MAX: 1.18 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: googlenet 3 2 1 1.2915 2.583 3.8745 5.166 6.4575 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 5.69 5.70 5.74 MIN: 5.63 / MAX: 10.18 MIN: 5.65 / MAX: 8.52 MIN: 5.64 / MAX: 15.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: vgg16 3 2 1 3 6 9 12 15 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.16, N = 3 10.61 10.71 10.82 MIN: 10.2 / MAX: 24 MIN: 10.19 / MAX: 20.01 MIN: 10.18 / MAX: 24.02 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet18 1 2 3 0.4883 0.9766 1.4649 1.9532 2.4415 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.16 2.17 2.17 MIN: 2.09 / MAX: 2.76 MIN: 2.1 / MAX: 2.77 MIN: 2.1 / MAX: 2.76 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: alexnet 1 3 2 0.9225 1.845 2.7675 3.69 4.6125 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 4.09 4.09 4.10 MIN: 3.96 / MAX: 4.79 MIN: 3.97 / MAX: 4.66 MIN: 3.99 / MAX: 4.76 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet50 3 1 2 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 6.09 6.10 6.13 MIN: 6.06 / MAX: 6.39 MIN: 6.06 / MAX: 10.11 MIN: 6.04 / MAX: 11.31 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny 1 2 3 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 11.26 11.29 11.30 MIN: 11.09 / MAX: 11.79 MIN: 11.1 / MAX: 11.73 MIN: 11.15 / MAX: 11.62 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OCRMyPDF OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OCRMyPDF 10.3.1+dfsg Processing 60 Page PDF Document 1 2 3 7 14 21 28 35 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 32.16 32.23 32.26
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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU 1 2 3 2 4 6 8 10 SE +/- 0.03162, N = 3 SE +/- 0.12292, N = 3 SE +/- 0.12077, N = 15 7.43267 8.42072 8.81065 MIN: 7.23 MIN: 8.01 MIN: 8.21 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU 1 2 3 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.89, N = 15 96.74 99.74 99.97 MIN: 95.29 MIN: 97.89 MIN: 95.99 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU 2 3 1 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 19.20 19.41 20.65 MIN: 19.01 MIN: 19.18 MIN: 20.28 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU 1 2 3 3 6 9 12 15 SE +/- 0.01249, N = 3 SE +/- 0.12846, N = 3 SE +/- 0.17039, N = 15 8.05221 9.74749 9.82517 MIN: 7.86 MIN: 9.46 MIN: 8.65 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU 1 3 2 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.17, N = 3 12.03 12.89 13.18 MIN: 11.78 MIN: 12.66 MIN: 12.66 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU 3 2 1 110 220 330 440 550 SE +/- 3.41, N = 3 SE +/- 2.10, N = 3 SE +/- 2.86, N = 3 462.80 491.11 503.70 MIN: 453.6 MIN: 474.1 MIN: 495.04 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU 3 1 2 60 120 180 240 300 SE +/- 1.11, N = 3 SE +/- 0.60, N = 3 SE +/- 3.42, N = 3 247.16 249.37 262.37 MIN: 243.72 MIN: 247.16 MIN: 254.47 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU 2 3 1 1.0644 2.1288 3.1932 4.2576 5.322 SE +/- 0.01879, N = 3 SE +/- 0.00436, N = 3 SE +/- 0.00490, N = 3 4.03910 4.06739 4.73057 MIN: 3.96 MIN: 3.99 MIN: 4.66 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Signs Per Second, More Is Better OpenSSL 1.1.1 RSA 4096-bit Performance 1 3 2 200 400 600 800 1000 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.27, N = 3 1145.0 1144.7 1144.3 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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 2 3 1 130K 260K 390K 520K 650K SE +/- 3538.13, N = 3 SE +/- 3258.38, N = 3 SE +/- 5320.80, N = 3 604512 604322 604079
PyBench This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times 2 1 3 200 400 600 800 1000 SE +/- 2.31, N = 3 SE +/- 1.76, N = 3 1017 1020 1021
OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 5 3 1 2 0.2381 0.4762 0.7143 0.9524 1.1905 SE +/- 0.000, N = 3 SE +/- 0.007, N = 3 SE +/- 0.004, N = 3 1.058 1.050 1.047
OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 6 1 3 2 0.3159 0.6318 0.9477 1.2636 1.5795 SE +/- 0.007, N = 3 SE +/- 0.011, N = 3 SE +/- 0.006, N = 3 1.404 1.393 1.370
OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 10 3 2 1 0.6946 1.3892 2.0838 2.7784 3.473 SE +/- 0.026, N = 3 SE +/- 0.030, N = 3 SE +/- 0.003, N = 3 3.087 3.068 3.041
OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: SADD 3 1 2 400K 800K 1200K 1600K 2000K SE +/- 18274.51, N = 3 SE +/- 22720.13, N = 15 SE +/- 25708.45, N = 15 2004338.25 1951987.09 1947660.53 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: LPUSH 3 1 2 300K 600K 900K 1200K 1500K SE +/- 13914.34, N = 15 SE +/- 14444.21, N = 3 SE +/- 12228.65, N = 3 1459398.53 1437805.00 1413366.45 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 3 2 500K 1000K 1500K 2000K 2500K SE +/- 40313.16, N = 15 SE +/- 21009.40, N = 15 SE +/- 26352.66, N = 15 2310604.62 2135888.90 2095708.19 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: SET 2 1 3 400K 800K 1200K 1600K 2000K SE +/- 29276.53, N = 3 SE +/- 18920.71, N = 3 SE +/- 19775.05, N = 15 1754885.38 1725875.75 1695298.03 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
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 1 3 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 20.02 20.02 20.03 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
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 2 3 1 2M 4M 6M 8M 10M SE +/- 45923.84, N = 3 SE +/- 124228.11, N = 3 SE +/- 111801.84, N = 6 10050125 9864045 9840561 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 0.4491 0.8982 1.3473 1.7964 2.2455 SE +/- 0.029, N = 4 SE +/- 0.024, N = 3 SE +/- 0.023, N = 3 1.948 1.965 1.996 MIN: 1.73 / MAX: 2.71 MIN: 1.78 / MAX: 2.54 MIN: 1.81 / MAX: 2.69
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 3 2 60 120 180 240 300 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.19, N = 3 263.82 264.12 264.30 MIN: 263.16 / MAX: 270.27 MIN: 263.32 / MAX: 271.64 MIN: 263.28 / MAX: 314.67 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 3 2 60 120 180 240 300 SE +/- 0.22, N = 3 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 260.26 260.44 260.45 MIN: 259.28 / MAX: 261.34 MIN: 259.68 / MAX: 261.29 MIN: 259.62 / MAX: 261.24 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
VkFFT VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 2020-09-29 2 3 1 4K 8K 12K 16K 20K SE +/- 18.75, N = 3 SE +/- 15.18, N = 3 SE +/- 80.13, N = 3 18479 18478 18432
Waifu2x-NCNN Vulkan Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. 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 with Vulkan. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Waifu2x-NCNN Vulkan 20200818 Scale: 2x - Denoise: 3 - TAA: Yes 1 3 2 2 4 6 8 10 SE +/- 0.002, N = 3 SE +/- 0.008, N = 3 SE +/- 0.007, N = 3 7.158 7.183 7.184
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 2 1 3 2 4 6 8 10 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 7.78 7.77 7.75 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 2 1 3 8 16 24 32 40 SE +/- 0.20, N = 3 SE +/- 0.05, N = 3 SE +/- 0.22, N = 3 35.12 34.71 34.66 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
yquake2 This is a test of Yamagi Quake II. Yamagi Quake II is an enhanced client for id Software's Quake II with focus on offline and coop gameplay. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better yquake2 7.45 Renderer: OpenGL 1.x - Resolution: 1920 x 1080 2 1 3 160 320 480 640 800 SE +/- 9.93, N = 3 SE +/- 8.88, N = 3 SE +/- 1.13, N = 3 747.0 737.4 730.4 1. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.org Frames Per Second, More Is Better yquake2 7.45 Renderer: OpenGL 3.x - Resolution: 1920 x 1080 2 1 3 200 400 600 800 1000 SE +/- 0.50, N = 3 SE +/- 1.84, N = 3 SE +/- 2.82, N = 3 977.8 977.8 975.8 1. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.org Frames Per Second, More Is Better yquake2 7.45 Renderer: Software CPU - Resolution: 1920 x 1080 1 3 2 20 40 60 80 100 SE +/- 0.48, N = 3 SE +/- 0.31, N = 3 SE +/- 0.30, N = 3 110.9 110.4 109.5 1. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
1 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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021Graphics Notes: GLAMORSecurity Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 27 November 2020 16:10 by user phoronix.
2 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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021Graphics Notes: GLAMORJava Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)Python Notes: Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 28 November 2020 06:02 by user phoronix.
3 Processor: AMD Ryzen 3 3100 4-Core @ 3.60GHz (4 Cores / 8 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (2702 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 1000GB Sabrent Rocket 4.0 1TB, Graphics: AMD Radeon RX 56/64 8GB (1590/800MHz), Audio: AMD Vega 10 HDMI Audio, Monitor: LG Ultra HD, Network: Realtek RTL8125 2.5GbE + Intel I211
OS: Ubuntu 20.10, Kernel: 5.8.0-29-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.2.1 (LLVM 11.0.0), Vulkan: 1.2.131, Compiler: GCC 10.2.0, 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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021Graphics Notes: GLAMORJava Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)Python Notes: Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 28 November 2020 17:53 by user phoronix.