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.

To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark realsr-ncnn.

Project Site

github.com

Test Created

24 September 2020

Last Updated

24 September 2020

Test Maintainer

Michael Larabel

Test Type

Graphics

Average Install Time

2 Seconds

Average Run Time

7 Minutes, 58 Seconds

Supported Platforms

Supported Architectures

x86_64

Public Result UploadsReported Installs*Test Completions*OpenBenchmarking.orgEventsRealSR-NCNN Popularity Statisticspts/realsr-ncnn2020.092020.102020.112020.122021.012004006008001000
* Data based on those opting to upload their test results to OpenBenchmarking.org and users enabling the opt-in anonymous statistics reporting while running benchmarks from an Internet-connected platform.
Data current as of Sat, 23 Jan 2021 02:03:40 GMT.
No56.2%Yes43.8%TAA Option PopularityOpenBenchmarking.org

Revision History

pts/realsr-ncnn-1.0.0   [View Source]   Thu, 24 Sep 2020 17:11:49 GMT
Initial commit of RealSR-NCNN Vulkan.

Suites Using This Test

NVIDIA GPU Compute

Vulkan Compute


Performance Metrics

Analyze Test Configuration:

RealSR-NCNN 20200818

Scale: 4x - TAA: No

OpenBenchmarking.org metrics for this test profile configuration based on 835 public results since 24 September 2020 with the latest data as of 20 January 2021.

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
Percentile Rank
# Matching Public Results
Seconds (Average)
Mid-Tier
75th
> 10
Median
50th
21
48th
60
21 +/- 1
41st
3
29 +/- 2
38th
8
38 +/- 1
33rd
4
59 +/- 1
Low-Tier
25th
> 86
19th
10
152 +/- 15
9th
26
220 +/- 36
9th
6
229 +/- 42
4th
7
278 +/- 31
3rd
3
320 +/- 1
OpenBenchmarking.orgDistribution Of Public Results - Scale: 4x - TAA: No835 Results Range From 4 To 979 Seconds4356697128159190221252283314345376407438469500531562593624655686717748779810841872903934965996110220330440550

Based on OpenBenchmarking.org data, the selected test / test configuration (RealSR-NCNN 20200818 - Scale: 4x - TAA: No) has an average run-time of 4 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.

OpenBenchmarking.orgMinutesTime Required To Complete BenchmarkScale: 4x - TAA: NoRun-Time510152025Min: 1 / Avg: 3.66 / Max: 21

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.9%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsScale: 4x - TAA: NoDeviation3691215Min: 0 / Avg: 0.92 / Max: 10

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