Waifu2x-NCNN Vulkan

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.

Project Site

github.com

Test Created

20 October 2020

Test Maintainer

Michael Larabel

Test Type

Graphics

Average Install Time

3 Seconds

Average Run Time

1 Minute, 29 Seconds

Test Dependencies

Vulkan

Accolades

5k+ Downloads

Supported Platforms

Supported Architectures

x86_64

* Uploading of benchmark result data to OpenBenchmarking.org is always optional (opt-in) via the Phoronix Test Suite for users wishing to share their results publicly.
** 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 8 May 2024.

Revision History

pts/waifu2x-ncnn-1.0.0 [View Source] Tue, 20 Oct 2020 14:06:13 GMT
Initial commit Waifu2x-NCNN Vulkan.

Suites Using This Test

NVIDIA GPU Compute

Vulkan Compute

Performance Metrics

Analyze Test Configuration:

Waifu2x-NCNN Vulkan 20200818

Scale: 2x - Denoise: 3 - TAA: No

OpenBenchmarking.org metrics for this test profile configuration based on 364 public results since 20 October 2020 with the latest data as of 28 April 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

Percentile Rank

# Compatible Public Results

Seconds (Average)

Sapphire AMD Radeon RX 5500

96th

2.1

NVIDIA GeForce RTX 2060

93rd

2.2 ^{+/- 0.2}

XFX AMD Radeon R9 285

90th

2.3

i915drmfb

83rd

3.0 ^{+/- 0.3}

NVIDIA Quadro P2000

77th

3.2

eVGA NVIDIA GeForce GTX 950

76th

3.3

Mid-Tier

75th

> 3.3

Sapphire AMD Radeon RX 470

74th

3.4 ^{+/- 0.4}

Intel Xe TGL GT2

53rd

4.2

Median

50th

4.3

NVIDIA T400

49th

4.6 ^{+/- 0.4}

ASUS Intel ADL-S GT1

43rd

6.5 ^{+/- 0.3}

Sapphire AMD Radeon RX 550 640SP

43rd

6.5

MSI Intel ADL-S GT1

42nd

6.6

Intel Iris Plus G7

39th

7.0 ^{+/- 0.1}

ASUS Intel RKL GT1

34th

7.6 ^{+/- 0.1}

Intel UHD 620

29th

10.2 ^{+/- 0.6}

Intel UHD P630

26th

10.8

Low-Tier

25th

> 10.8

Gigabyte AMD Radeon 540

24th

12.9

Intel HD 4400 HSW GT2

20th

13.4 ^{+/- 0.4}

ASUS Intel UHD 630

20th

13.4 ^{+/- 0.1}

MSI Intel HD 630

18th

13.8 ^{+/- 0.1}

Intel HD 5500

17th

13.9 ^{+/- 0.7}

Intel 8th Gen Core Gaussian Mixture Model

17th

13.9

Gigabyte Intel UHD 630

15th

14.3

MSI Intel UHD 630

14th

14.3 ^{+/- 0.1}

Intel HD P630

11th

14.7 ^{+/- 0.7}

MSI Intel HD P530

10th

15.0

AMD Radeon RX 460

9th

15.7

Gigabyte Intel HD 530

8th

16.2

Intel HD 530

6th

17.1

ASUS NVIDIA GeForce GT 710

4th

26.3 ^{+/- 0.1}

Based on OpenBenchmarking.org data, the selected test / test configuration (Waifu2x-NCNN Vulkan 20200818 - Scale: 2x - Denoise: 3 - TAA: No) 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 0.9%.

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.

Instruction Set

Support

Instructions Detected

SSE2 (SSE2)

Used by default on supported hardware.

MOVD CVTSI2SD MULSD CVTTSD2SI PSHUFD MOVDQA MOVDQU PSLLDQ PSRLDQ PUNPCKLQDQ CVTDQ2PS CVTSS2SD ADDSD DIVSD CVTSD2SS MOVAPD MULPD CVTPS2PD ADDPD DIVPD CVTPD2PS SUBSD PMULUDQ UCOMISD PSHUFLW PSHUFHW UNPCKLPD CVTDQ2PD MINSD MAXSD XORPD SQRTSD ANDPD CMPLTSD ANDNPD PUNPCKHQDQ PADDQ PSUBQ

SSSE3 (SSSE3)

Used by default on supported hardware.

PSHUFB PABSW PSIGNW PALIGNR

Advanced Vector Extensions (AVX)

Used by default on supported hardware.
Found on Intel processors since Sandy Bridge (2011).
Found on AMD processors since Bulldozer (2011).

VBROADCASTSS VZEROUPPER VINSERTF128 VEXTRACTF128 VPERM2F128 VMASKMOVPS

Advanced Vector Extensions 2 (AVX2)

Used by default on supported hardware.
Found on Intel processors since Haswell (2013).
Found on AMD processors since Excavator (2016).

VINSERTI128 VPERMQ VEXTRACTI128 VPERM2I128 VGATHERDPS VPERMD

FMA (FMA)

Used by default on supported hardware.
Found on Intel processors since Haswell (2013).
Found on AMD processors since Bulldozer (2011).

VFMADD132PS VFMADD132SS VFMADD231SS VFMADD231PS VFMADD213PS VFNMADD231PS VFMSUB132PS VFNMADD132PS

Last automated analysis: 18 January 2022

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.

CPU Architecture

Kernel Identifier

Verified On

Intel / AMD x86 64-bit