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.
To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark waifu2x-ncnn.
OpenBenchmarking.org metrics for this test profile configuration based on 1,063 public results since 20 October 2020 with the latest data as of 9 December 2024.
Below is an overview of the generalized performance for components where there is sufficient statistically significant data based upon user-uploaded results. It is important to keep in mind particularly in the Linux/open-source space there can be vastly different OS configurations, with this overview intended to offer just general guidance as to the performance expectations.
Based on OpenBenchmarking.org data, the selected test / test configuration (Waifu2x-NCNN Vulkan 20200818 - Scale: 2x - Denoise: 3 - TAA: Yes) has an average run-time of 2 minutes. By default this test profile is set to run at least 3 times but may increase if the standard deviation exceeds pre-defined defaults or other calculations deem additional runs necessary for greater statistical accuracy of the result.
Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.5%.
Notable instruction set extensions supported by this test, based on an automatic analysis by the Phoronix Test Suite / OpenBenchmarking.org analytics engine.
This test profile binary relies on the shared libraries libc.so.6, libvulkan.so.1, libgomp.so.1, libpthread.so.0, libm.so.6, libmvec.so.1.
This benchmark has been successfully tested on the below mentioned architectures. The CPU architectures listed is where successful OpenBenchmarking.org result uploads occurred, namely for helping to determine if a given test is compatible with various alternative CPU architectures.
6 Systems - 199 Benchmark Results |
Intel Core Ultra 9 285K - MSI MEG Z890 UNIFY-X - Intel Device ae7f Ubuntu 24.10 - 6.12.1-061201-generic - GNOME Shell 47.0 |
5 Systems - 211 Benchmark Results |
Intel Core Ultra 9 285K - MSI MEG Z890 UNIFY-X - Intel Device ae7f Ubuntu 24.10 - 6.12.1-061201-generic - GNOME Shell 47.0 |
1 System - 39 Benchmark Results |
Intel Core Ultra 9 285K - MSI MEG Z890 UNIFY-X - Intel Device ae7f Ubuntu 24.10 - 6.12.1-061201-generic - GNOME Shell 47.0 |
1 System - 44 Benchmark Results |
AMD Ryzen Threadripper PRO 7965WX 24-Cores - ASUS Pro WS WRX90E-SAGE SE - AMD Genoa Debian - 6.11.10-amd64 - KDE Plasma 6.2.3 |
1 System - 2 Benchmark Results |
Intel Core i7-11850H - Dell Precision 5560 0WPMMN - Intel Tiger Lake-H Pop 22.04 - 6.9.3-76060903-generic - GNOME Shell 42.9 |
3 Systems - 2 Benchmark Results |
AMD Ryzen 5 7600X 6-Core - ASRock B650M Pro RS WiFi - AMD Device 14d8 EndeavourOS rolling - 6.11.8-1-cachyos-bore - GNOME Shell 47.1 |
1 System - 1 Benchmark Result |
AMD Ryzen 5 7600X 6-Core - ASRock B650M Pro RS WiFi - AMD Device 14d8 EndeavourOS rolling - 6.11.6-1-cachyos-bore - GNOME Shell 47.1 |
1 System - 113 Benchmark Results |
AMD Ryzen 9 7900X3D 12-Core - ASUS ProArt B650-CREATOR - AMD Device 14d8 Ubuntu 24.04 - 6.8.0-47-generic - GNOME Shell 46.0 |
1 System - 2 Benchmark Results |
AMD Ryzen 9 7950X3D 16-Core - MSI PRO B650-S WIFI - 2 x 32768MB 4800MHz F5-6000J3636F32G Microsoft Windows 11 Home Build 22631 - 10.0.22631.4249 - 551.23 |
1 System - 116 Benchmark Results |
AMD Ryzen 7 3700X 8-Core - ASUS TUF GAMING X570-PLUS - AMD Starship RockyLinux 9.4 - 6.1.102-1.el9.elrepo.x86_64 - KDE Plasma 5.27.11 |
1 System - 1 Benchmark Result |
AMD Ryzen 5 7600X 6-Core - ASRock B650E PG-ITX WiFi - AMD Device 14d8 EndeavourOS rolling - 6.10.2-arch1-1 - Xfce 4.18 |
2 Systems - 130 Benchmark Results |
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