2021-11-09-0309
AMD Ryzen 3 2200G testing with a GIGABYTE MZRYZBM-SI (R1 BIOS) and AMD Radeon Vega 8 256MB on Microsoft Windows 10 Pro Build 19043 via the Phoronix Test Suite.
CI-1_AMD2200G_VULKAN-COMPUTE
Processor: AMD Ryzen 3 2200G @ 3.49GHz (4 Cores), Motherboard: GIGABYTE MZRYZBM-SI (R1 BIOS), Memory: 2 x 4096 MB 2667MHz TS2666HLH-4G, Disk: 932GB WDC WD10SPSX-22A6WT0, Graphics: AMD Radeon Vega 8 256MB, Audio: AMD HD Audio Device + AMD Streaming Audio Device + Realtek HD Audio, Monitor: ps 6V4, Network: Realtek PCIe GBE + Realtek PCIe GBE #2
OS: Microsoft Windows 10 Pro Build 19043, Kernel: 10.0 (x86_64), Display Driver: 30.0.13025.5005, OpenCL: OpenCL 2.1 AMD-APP (3302.6), File-System: NTFS, Screen Resolution: 1920x1080
Processor Notes: CPU Microcode: 1610100800000000
Security Notes: __user pointer sanitization: Disabled + Retpoline: Full + IBPB: Always
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.
CI-1_AMD2200G_VULKAN-COMPUTE: The test quit with a non-zero exit status.
vkpeak
Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.
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.
Upscale: 2x - Precision: Double
CI-1_AMD2200G_VULKAN-COMPUTE: The test quit with a non-zero exit status.
Upscale: 2x - Precision: Single
CI-1_AMD2200G_VULKAN-COMPUTE: The test quit with a non-zero exit status.
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.
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.
CI-1_AMD2200G_VULKAN-COMPUTE
Processor: AMD Ryzen 3 2200G @ 3.49GHz (4 Cores), Motherboard: GIGABYTE MZRYZBM-SI (R1 BIOS), Memory: 2 x 4096 MB 2667MHz TS2666HLH-4G, Disk: 932GB WDC WD10SPSX-22A6WT0, Graphics: AMD Radeon Vega 8 256MB, Audio: AMD HD Audio Device + AMD Streaming Audio Device + Realtek HD Audio, Monitor: ps 6V4, Network: Realtek PCIe GBE + Realtek PCIe GBE #2
OS: Microsoft Windows 10 Pro Build 19043, Kernel: 10.0 (x86_64), Display Driver: 30.0.13025.5005, OpenCL: OpenCL 2.1 AMD-APP (3302.6), File-System: NTFS, Screen Resolution: 1920x1080
Processor Notes: CPU Microcode: 1610100800000000
Security Notes: __user pointer sanitization: Disabled + Retpoline: Full + IBPB: Always
Testing initiated at 9 November 2021 03:09 by user EVAIPCVAR4.