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 1,039 public results since 20 October 2020 with the latest data as of 3 October 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.
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 |
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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 |
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2 Systems - 130 Benchmark Results |
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2 Systems - 20 Benchmark Results
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AMD PRO A10-9700E R7 10 COMPUTE CORES 4C+6G - LENOVO 30FD - 2 x 16384 MB 2400MHz Microsoft Windows 10 Pro Build 19045 - 10.0.19045.4412 - 27.20.1034.6
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1 System - 19 Benchmark Results
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Intel Core i5-13500 - ASRock B660M Pro RS - Intel Device 7aa7 Ubuntu 22.04 - 6.5.0-35-generic - GNOME Shell 42.9
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1 System - 63 Benchmark Results
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1 System - 20 Benchmark Results
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AMD PRO A6-8570E R5 6 COMPUTE CORES 2C+4G - LENOVO 30FD - 1 x 4096 MB 2400MHz Samsung M471A5244CB0-CRC Microsoft Windows 10 Pro Build 19045 - 10.0.19045.4291 - 27.20.1034.6
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1 System - 134 Benchmark Results
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AMD Ryzen 7 7700X 8-Core - MSI PRO B650-P WIFI - AMD Device 14d8 Ubuntu 23.04 - 6.2.0-39-generic - GNOME Shell 44.3
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1 System - 81 Benchmark Results
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Intel Core i9-14900KF - MSI PRO Z790-A MAX WIFI - 4 x 32768 MB 5600MHz Corsair CMK64GX5M2B5600C40 Microsoft Windows 11 Pro N Build 22631 - 10.0.22631.3447 - 552.22 |