AMD E2-3800 APU testing with a TOSHIBA Portable PC (1.80 BIOS) and AMD Radeon HD 8200 / R3 512MB on cachyos rolling 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 2309154-EIRI-NCNNWAI35
Jump To Table - Results


Remove Outliers Before Calculating Averages

Graph Settings

Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs


Show Detailed System Result Table

Run Management

Performance Per
Radeon HD 8230 2CU
September 15 2023
  13 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

NCNN-WaifuOpenBenchmarking.orgPhoronix Test SuiteAMD E2-3800 APU @ 1.30GHz (4 Cores)TOSHIBA Portable PC (1.80 BIOS)AMD 16h Root Complex16GB120GB OCZ TRION100AMD Radeon HD 8200 / R3 512MBRealtek ALC269VBRealtek RTL810xE PCI + Realtek RTL8188EEcachyos rolling6.5.3-3-cachyos (x86_64)MATE 1.26.1X Server Mesa 23.1.6-arch1.4 (LLVM 16.0.6 DRM 3.54)OpenCL 3.0GCC 13.2.1 20230801 + Clang 16.0.6 + LLVM 16.0.6zfs1366x768ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLOpenCLCompilerFile-SystemScreen ResolutionNCNN-Waifu BenchmarksSystem Logs- amdgpu.abmlevel=2 amdgpu.aspm=-1 amdgpu.bapm=1 amdgpu.ignore_crat=0 amdgpu pute_multipipe=-1 amdgpu.cwsr_enable=1 amdgpu.dc=1 amdgpu.dcfeaturemask=0xFA amdgpu.deep_color=1 amdgpu.discovery=1 amdgpu.disp_priority=2 amdgpu.dpm=1 amdgpu.exp_hw_support=1 amdgpu.freesync_video=1 amdgpu.fw_load_type=-1 amdgpu.gpu_recovery=1 amdgpu.hw_i2c=1 amdgpu.hws_gws_support=true amdgpu.cik_support=1 amdgpu.si_support=1 amdgpu.moverate=8 amdgpu.ras_enable=1 amdgpu.mes=1 amdgpu.mes_kiq=1 - Transparent Huge Pages: always - CXXFLAGS="-march=native -O3 -pipe -ftree-vectorize -fopenmp -malign-double -ftree-vectorize -fstrict-aliasing --param=ssp-buffer-size=4 -ffast-math -fexceptions -fomit-frame-pointer -fgraphite-identity -floop-nest-optimize -Wp,-D_FORTIFY_SOURCE=2 -fstack-clash-protection -fcf-protection -pthread -flto=auto -Wp,-D_GLIBCXX_ASSERTIONS -fpermissive" LDFLAGS=-Wl,-O2,--sort-common,--as-needed,-z,relro,-z,now,-lgomp,-lpthread,-lquadmath,-lm CFLAGS="-march=native -O3 -pipe -ftree-vectorize -fopenmp -malign-double -ftree-vectorize -fstrict-aliasing --param=ssp-buffer-size=4 -ffast-math -fexceptions -fomit-frame-pointer -fgraphite-identity -floop-nest-optimize -Wp,-D_FORTIFY_SOURCE=2 -fstack-clash-protection -fcf-protection -pthread -flto=auto" - Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x700010f - GLAMOR - BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: BR44414.bin - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Vulnerable + spec_rstack_overflow: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable STIBP: disabled PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

NCNN-Waifuwaifu2x-ncnn: 2x - 3 - Yeswaifu2x-ncnn: 2x - 3 - NoRadeon HD 8230

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 test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesRadeon HD 8230 2CU50100150200250SE +/- 0.47, N = 3222.28

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: NoRadeon HD 8230 2CU714212835SE +/- 0.02, N = 331.12