gf1050_2GB

AMD Ryzen 3 2200G testing with a Gigabyte B450M DS3H-CF (F40 BIOS) and MSI NVIDIA GeForce GTX 1050 2GB on Ubuntu 18.04 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 2010065-FI-GF10502GB05
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Result
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Performance Per
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Date
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  Test
  Duration
MSI NVIDIA GeForce GTX 1050
October 06 2020
  3 Hours, 26 Minutes
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gf1050_2GBOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 3 2200G @ 3.50GHz (4 Cores)Gigabyte B450M DS3H-CF (F40 BIOS)AMD Device 15d08GB500GB Samsung SSD 850 + 1500GB SAMSUNG HD154UIMSI NVIDIA GeForce GTX 1050 2GB (1354/3504MHz)NVIDIA GP107GL HD AudioG226HQLRealtek RTL8111/8168/8411Ubuntu 18.045.4.0-48-generic (x86_64)MATE 1.20.1X Server 1.20.8NVIDIA 440.824.6.0OpenCL 1.2 CUDA 10.2.159 + OpenCL 2.1 AMD-APP (3004.6)1.1.119GCC 7.5.0 + CUDA 10.2ext43640x1920ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionGf1050_2GB BenchmarksSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8101013- 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

gf1050_2GBrealsr-ncnn: 4x - Norealsr-ncnn: 4x - 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-tinyMSI NVIDIA GeForce GTX 105046.248348.844722612.8612.033.583.822.713.455.781.418.3734.406.599.2514.0621.68OpenBenchmarking.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: NoMSI NVIDIA GeForce GTX 10501020304050SE +/- 0.20, N = 346.25

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesMSI NVIDIA GeForce GTX 105080160240320400SE +/- 1.07, N = 3348.84

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 2020-09-29MSI NVIDIA GeForce GTX 105015003000450060007500SE +/- 9.74, N = 37226

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: squeezenetMSI NVIDIA GeForce GTX 10503691215SE +/- 0.07, N = 312.86MIN: 11.82 / MAX: 191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetMSI NVIDIA GeForce GTX 10503691215SE +/- 0.02, N = 312.03MIN: 9 / MAX: 21.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2MSI NVIDIA GeForce GTX 10500.80551.6112.41653.2224.0275SE +/- 0.24, N = 33.58MIN: 2.93 / MAX: 8.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3MSI NVIDIA GeForce GTX 10500.85951.7192.57853.4384.2975SE +/- 0.10, N = 33.82MIN: 3.42 / MAX: 7.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2MSI NVIDIA GeForce GTX 10500.60981.21961.82942.43923.049SE +/- 0.01, N = 32.71MIN: 2.53 / MAX: 4.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetMSI NVIDIA GeForce GTX 10500.77631.55262.32893.10523.8815SE +/- 0.04, N = 33.45MIN: 3.05 / MAX: 8.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0MSI NVIDIA GeForce GTX 10501.30052.6013.90155.2026.5025SE +/- 0.08, N = 35.78MIN: 5.12 / MAX: 10.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceMSI NVIDIA GeForce GTX 10500.31730.63460.95191.26921.5865SE +/- 0.05, N = 31.41MIN: 1.06 / MAX: 6.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetMSI NVIDIA GeForce GTX 1050246810SE +/- 0.08, N = 38.37MIN: 7.64 / MAX: 12.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16MSI NVIDIA GeForce GTX 1050816243240SE +/- 0.25, N = 334.40MIN: 33 / MAX: 40.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18MSI NVIDIA GeForce GTX 1050246810SE +/- 0.06, N = 36.59MIN: 5.73 / MAX: 22.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetMSI NVIDIA GeForce GTX 10503691215SE +/- 0.04, N = 39.25MIN: 8.52 / MAX: 14.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50MSI NVIDIA GeForce GTX 105048121620SE +/- 0.14, N = 314.06MIN: 12.96 / MAX: 22.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyMSI NVIDIA GeForce GTX 1050510152025SE +/- 0.13, N = 321.68MIN: 16.69 / MAX: 28.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread