graphics benchmark2

Intel Core i7-6700HQ testing with a Notebook P65_P67RGRERA (1.05.13 BIOS) and NVIDIA GeForce GTX 970M 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2010278-FI-GRAPHICSB12
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
to test xinyue 7921
October 27 2020
  51 Minutes
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graphics benchmark2OpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-6700HQ @ 3.50GHz (4 Cores / 8 Threads)Notebook P65_P67RGRERA (1.05.13 BIOS)Intel Xeon E3-1200 v5/E3-15001 x 8192 MB DDR4-2133MT/s128GB Phison SATA SSD + 1000GB HGST HTS721010A9 + 1000GB Backup+ BK + 2000GB BUP SlimNVIDIA GeForce GTX 970M 3GB (1037/2505MHz)Realtek ALC892Realtek RTL8111/8168/8411 + Intel 3165Ubuntu 20.045.4.0-52-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8NVIDIA 450.80.024.6.0OpenCL 1.2 CUDA 11.0.2281.2.133GCC 9.3.0 + CUDA 11.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionGraphics Benchmark2 PerformanceSystem Logs- --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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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 -v - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdc - Thermald 1.9.1- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

graphics benchmark2realsr-ncnn: 4x - Norealsr-ncnn: 4x - Yeswaifu2x-ncnn: 2x - 3 - Nowaifu2x-ncnn: 2x - 3 - Yesvkfft: ncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyto test xinyue 792134.868247.3863.11215.688737110.5910.543.414.202.863.616.571.178.9430.875.419.0812.7318.29OpenBenchmarking.org

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.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Noto test xinyue 7921816243240SE +/- 0.20, N = 334.87

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Yesto test xinyue 792150100150200250SE +/- 0.15, N = 3247.39

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.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: Noto test xinyue 79210.70021.40042.10062.80083.501SE +/- 0.034, N = 73.112

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: Yesto test xinyue 792148121620SE +/- 0.02, N = 315.69

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.orgBenchmark Score, More Is BetterVkFFT 2020-09-29to test xinyue 792116003200480064008000SE +/- 4.33, N = 37371

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.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetto test xinyue 79213691215SE +/- 0.02, N = 310.59MIN: 10.12 / MAX: 421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetto test xinyue 79213691215SE +/- 0.34, N = 310.54MIN: 9.48 / MAX: 67.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2to test xinyue 79210.76731.53462.30193.06923.8365SE +/- 0.05, N = 33.41MIN: 3.26 / MAX: 39.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3to test xinyue 79210.9451.892.8353.784.725SE +/- 0.01, N = 34.20MIN: 3.91 / MAX: 39.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2to test xinyue 79210.64351.2871.93052.5743.2175SE +/- 0.07, N = 32.86MIN: 2.66 / MAX: 24.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetto test xinyue 79210.81231.62462.43693.24924.0615SE +/- 0.05, N = 33.61MIN: 3.43 / MAX: 38.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0to test xinyue 7921246810SE +/- 0.30, N = 36.57MIN: 6.01 / MAX: 47.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceto test xinyue 79210.26330.52660.78991.05321.3165SE +/- 0.02, N = 31.17MIN: 1.13 / MAX: 5.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetto test xinyue 7921246810SE +/- 0.21, N = 38.94MIN: 8.44 / MAX: 37.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16to test xinyue 7921714212835SE +/- 0.26, N = 330.87MIN: 29.68 / MAX: 72.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18to test xinyue 79211.21732.43463.65194.86926.0865SE +/- 0.04, N = 35.41MIN: 5.21 / MAX: 40.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetto test xinyue 79213691215SE +/- 0.40, N = 39.08MIN: 8.03 / MAX: 66.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50to test xinyue 79213691215SE +/- 0.12, N = 312.73MIN: 12.21 / MAX: 45.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyto test xinyue 7921510152025SE +/- 0.26, N = 318.29MIN: 16.28 / MAX: 116.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread