vk

AMD Ryzen 5 3400G testing with a ASUS Pro WS X570-ACE (2206 BIOS) and AMD SIENNA_CICHLID 16GB on Gentoo 2.7 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 2101191-HA-VK668690116
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vkOpenBenchmarking.orgPhoronix Test Suite 10.2.2AMD Ryzen 5 3400G @ 3.70GHz (4 Cores / 8 Threads)ASUS Pro WS X570-ACE (2206 BIOS)AMD Raven/Raven264GBSamsung SSD 970 EVO Plus 500GB + 2 x 2000GB Samsung SSD 860AMD SIENNA_CICHLID 16GB (2475/1000MHz)Realtek ALC1220S27A950DIntel I211 + Realtek RTL8111/8168/8411Gentoo 2.75.10.7-gentoo (x86_64)Xfce 4.14X Server 1.20.8amdgpu 19.1.04.6 Mesa 21.0.0-rc1 (LLVM 11.0.0)OpenCL 2.0 AMD-APP.dbg (3212.0)1.2.145Clang 11.0.0 + LLVM 11.0.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionVk BenchmarksSystem Logs- --bindir=/usr/x86_64-pc-linux-gnu/gcc-bin/9.3.0 --build=x86_64-pc-linux-gnu --datadir=/usr/share/gcc-data/x86_64-pc-linux-gnu/9.3.0 --disable-esp --disable-fixed-point --disable-isl-version-check --disable-libada --disable-libssp --disable-systemtap --disable-werror --enable-__cxa_atexit --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-languages=c,c++,fortran --enable-libgomp --enable-libstdcxx-time --enable-lto --enable-multilib --enable-nls --enable-obsolete --enable-secureplt --enable-shared --enable-targets=all --enable-threads=posix --enable-vtable-verify --host=x86_64-pc-linux-gnu --includedir=/usr/lib/gcc/x86_64-pc-linux-gnu/9.3.0/include --mandir=/usr/share/gcc-data/x86_64-pc-linux-gnu/9.3.0/man --with-isl --with-multilib-list=m32,m64 --with-python-dir=/share/gcc-data/x86_64-pc-linux-gnu/9.3.0/python - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8108109 - GLAMOR- 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

vkrealsr-ncnn: 4x - Norealsr-ncnn: 4x - Yeswaifu2x-ncnn: 2x - 3 - Yesvkfft: libplacebo: deband_heavylibplacebo: polar_nocomputelibplacebo: hdr_peakdetectlibplacebo: av1_grain_lapbetsy: ETC1 - Highestbetsy: ETC2 RGB - Highestvkresample: 2x - Doublevkresample: 2x - Singlencnn: 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-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS6.82534.4323.85644725617.331510.056562.64482.234.7395.09575.00018.42848.5312.8910.7512.4311.8818.353.2535.59119.6430.3525.1780.1857.2344.7522.57OpenBenchmarking.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: NoAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS246810SE +/- 0.077, N = 36.825

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS816243240SE +/- 0.11, N = 334.43

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: YesAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS0.86761.73522.60283.47044.338SE +/- 0.018, N = 33.856

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 1.1.1AMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS10K20K30K40K50KSE +/- 462.99, N = 4447251. (CXX) g++ options: -O3 -pthread

Libplacebo

Libplacebo is a multimedia rendering library based on the core rendering code of the MPV player. The libplacebo benchmark relies on the Vulkan API and tests various primitives. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterLibplacebo 2.72.2Test: deband_heavyAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS130260390520650SE +/- 0.31, N = 3617.331. (CXX) g++ options: -lm -lglslang -lHLSL -lOGLCompiler -lOSDependent -lSPIRV -lSPVRemapper -lSPIRV-Tools -lSPIRV-Tools-opt -lpthread -pthread -pipe -std=c++11 -fvisibility=hidden -fPIC -MD -MQ -MF

OpenBenchmarking.orgFPS, More Is BetterLibplacebo 2.72.2Test: polar_nocomputeAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS30060090012001500SE +/- 0.78, N = 31510.051. (CXX) g++ options: -lm -lglslang -lHLSL -lOGLCompiler -lOSDependent -lSPIRV -lSPVRemapper -lSPIRV-Tools -lSPIRV-Tools-opt -lpthread -pthread -pipe -std=c++11 -fvisibility=hidden -fPIC -MD -MQ -MF

OpenBenchmarking.orgFPS, More Is BetterLibplacebo 2.72.2Test: hdr_peakdetectAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS14002800420056007000SE +/- 11.70, N = 36562.641. (CXX) g++ options: -lm -lglslang -lHLSL -lOGLCompiler -lOSDependent -lSPIRV -lSPVRemapper -lSPIRV-Tools -lSPIRV-Tools-opt -lpthread -pthread -pipe -std=c++11 -fvisibility=hidden -fPIC -MD -MQ -MF

OpenBenchmarking.orgFPS, More Is BetterLibplacebo 2.72.2Test: av1_grain_lapAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS100200300400500SE +/- 11.61, N = 3482.231. (CXX) g++ options: -lm -lglslang -lHLSL -lOGLCompiler -lOSDependent -lSPIRV -lSPVRemapper -lSPIRV-Tools -lSPIRV-Tools-opt -lpthread -pthread -pipe -std=c++11 -fvisibility=hidden -fPIC -MD -MQ -MF

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.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC1 - Quality: HighestAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS1.06632.13263.19894.26525.3315SE +/- 0.381, N = 154.7391. (CXX) g++ options: -O3 -O2 -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC2 RGB - Quality: HighestAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS1.14642.29283.43924.58565.732SE +/- 0.351, N = 155.0951. (CXX) g++ options: -O3 -O2 -lpthread -ldl

VkResample

VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: DoubleAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS20406080100SE +/- 0.01, N = 375.001. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS510152025SE +/- 0.00, N = 318.431. (CXX) g++ options: -O3 -pthread

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 20201218Target: Vulkan GPU - Model: mobilenetAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS1122334455SE +/- 0.22, N = 348.53MIN: 44.96 / MAX: 93.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2AMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS3691215SE +/- 0.27, N = 312.89MIN: 11.51 / MAX: 90.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3AMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS3691215SE +/- 0.25, N = 310.75MIN: 9.4 / MAX: 32.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v2AMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS3691215SE +/- 0.09, N = 312.43MIN: 11.17 / MAX: 24.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnetAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS3691215SE +/- 0.08, N = 311.88MIN: 10.52 / MAX: 74.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b0AMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS510152025SE +/- 0.31, N = 318.35MIN: 16.28 / MAX: 110.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazefaceAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS0.73131.46262.19392.92523.6565SE +/- 0.10, N = 33.25MIN: 2.77 / MAX: 13.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenetAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS816243240SE +/- 1.05, N = 335.59MIN: 32.44 / MAX: 255.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg16AMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS306090120150SE +/- 0.08, N = 3119.64MIN: 115.59 / MAX: 166.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18AMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS714212835SE +/- 0.48, N = 330.35MIN: 28.73 / MAX: 133.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnetAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS612182430SE +/- 0.03, N = 325.17MIN: 24.09 / MAX: 37.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet50AMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS20406080100SE +/- 0.02, N = 380.18MIN: 75.78 / MAX: 1291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tinyAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS1326395265SE +/- 2.45, N = 357.23MIN: 51.67 / MAX: 226.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssdAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS1020304050SE +/- 0.87, N = 344.75MIN: 39 / MAX: 563.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400mAMD Ryzen 5 3400G - AMD SIENNA_CICHLID 16GB - ASUS510152025SE +/- 0.38, N = 322.57MIN: 19.31 / MAX: 72.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread