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.comTest Created
24 September 2020Test Maintainer
Michael LarabelTest Type
GraphicsAverage Install Time
3 SecondsAverage Run Time
8 Minutes, 2 SecondsTest Dependencies
VulkanAccolades
5k+ DownloadsSupported Platforms
Supported Architectures
** 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.
*** Test profile page view reporting began March 2021.
Data updated weekly as of 20 November 2024.
Suites Using This Test
Performance Metrics
Analyze Test Configuration:RealSR-NCNN 20200818
Scale: 4x - TAA: No
OpenBenchmarking.org metrics for this test profile configuration based on 1,006 public results since 24 September 2020 with the latest data as of 18 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 (RealSR-NCNN 20200818 - Scale: 4x - TAA: No) has an average run-time of 3 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 0.6%.
Notable Instruction Set Usage
Notable instruction set extensions supported by this test, based on an automatic analysis by the Phoronix Test Suite / OpenBenchmarking.org analytics engine.
Found on Intel processors since Sandy Bridge (2011).
Found on AMD processors since Bulldozer (2011).
Found on Intel processors since Haswell (2013).
Found on AMD processors since Excavator (2016).
Found on Intel processors since Haswell (2013).
Found on AMD processors since Bulldozer (2011).
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.
Tested CPU Architectures
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.
Recent Test Results
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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 |
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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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2 Systems - 130 Benchmark Results |
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1 System - 1 Benchmark Result
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Intel Core i7-4790K - ASUS SABERTOOTH Z97 MARK 2 - Intel 4th Gen Core DRAM Ubuntu 22.04 - 6.5.0-35-generic - GNOME Shell 42.9
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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 |