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.


RealSR-NCNN 20200818

Scale: 4x - TAA: No

OpenBenchmarking.org metrics for this test profile configuration based on 1,035 public results since 24 September 2020 with the latest data as of 17 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.

Component
Details
Percentile Rank
# Compatible Public Results
Seconds (Average)
Mid-Tier
75th
> 8
53rd
4
11 +/- 1
Median
50th
12
32nd
5
21 +/- 1
30th
3
29 +/- 2
29th
5
34 +/- 2
27th
8
38 +/- 1
Low-Tier
25th
> 50
25th
4
59 +/- 1
23rd
3
65 +/- 2
21st
10
66 +/- 3
14th
7
103 +/- 6
14th
4
104 +/- 1
12th
3
127 +/- 8
11th
11
151 +/- 15
7th
15
249 +/- 19
2nd
3
320 +/- 1