Waifu2x-NCNN

AMD Ryzen 5 2600X Six-Core testing with a Gigabyte X570 GAMING X (F31q BIOS) and MSI NVIDIA GeForce GTX 1070 8GB on Arch 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 2101122-HA-WAIFU2XNC10
Jump To Table - Results

Statistics

Remove Outliers Before Calculating Averages

Graph Settings

Prefer Vertical Bar Graphs

Table

Show Detailed System Result Table

Run Management

Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Waifu2x-NCNN
January 13 2021
  1 Minute


Waifu2x-NCNNOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 5 2600X Six-Core @ 3.60GHz (6 Cores / 12 Threads)Gigabyte X570 GAMING X (F31q BIOS)AMD 17h32GB1000GB Samsung SSD 970 EVO 1TB + 3001GB Seagate ST3000DM001-1CH1 + 3001GB TOSHIBA DT01ACA3 + 3001GB Hitachi HDS72303 + 1000GB Samsung SSD 860MSI NVIDIA GeForce GTX 1070 8GB (1582/4006MHz)NVIDIA GP104 HD Audio2 x DELL U2212HM + Q3277Realtek RTL8111/8168/8411Arch rolling5.10.6-arch1-1 (x86_64)KDE Plasma 5.20.5X Server 1.20.10NVIDIA 460.32.034.6.0OpenCL 1.2 CUDA 11.2.109 + OpenCL 1.1 Mesa 21.0.0-devel (git-00cf077c15)1.2.155GCC 10.2.0 + Clang 12.0.0 + CUDA 11.2btrfs4480x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionWaifu2x-NCNN BenchmarksSystem Logs- zfs.zfs_arc_max=1073741824- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x800820d- 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

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: YesWaifu2x-NCNN246810SE +/- 0.016, N = 38.403