GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images.

To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark system/gegl.

Project Site

gegl.org

Test Created

4 January 2020

Test Maintainer

Michael Larabel 

Test Type

System

Average Install Time

5 Seconds

Average Run Time

3 Minutes, 46 Seconds

Accolades

10k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsGEGL Popularity Statisticssystem/gegl2020.012020.032020.052020.072020.092020.112021.012021.032021.052021.072021.092021.112022.012022.032022.052022.072022.092022.112023.012023.032023.052023.072023.092023.112024.012024.032024.052024.072024.092024.1114K28K42K56K70K
* 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 20 November 2024.
Color Enhance12.6%Scale12.8%Antialias11.3%Tile Glass9.4%Cartoon8.9%Rotate 90 Degrees11.9%Reflect12.6%Crop11.3%Wavelet Blur9.2%Operation Option PopularityOpenBenchmarking.org

Revision History

system/gegl-1.0.0   [View Source]   Sat, 04 Jan 2020 21:09:00 GMT
Initial commit of GEGL benchmark.

Suites Using This Test

Imaging

Creator Workloads

Productivity


Performance Metrics

Analyze Test Configuration:

GEGL

Operation: Scale

OpenBenchmarking.org metrics for this test profile configuration based on 1,488 public results since 4 January 2020 with the latest data as of 6 November 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)
93rd
5
4.5 +/- 0.2
90th
10
4.6 +/- 0.1
90th
8
4.6 +/- 0.1
83rd
12
4.9 +/- 0.6
83rd
3
4.9 +/- 0.1
82nd
10
4.9 +/- 0.7
81st
9
5.0 +/- 0.4
79th
7
5.2 +/- 0.7
77th
20
5.3 +/- 0.2
77th
8
5.3 +/- 0.6
77th
6
5.3 +/- 0.5
77th
11
5.3 +/- 0.7
76th
14
5.3 +/- 0.2
76th
7
5.3 +/- 0.3
Mid-Tier
75th
> 5.3
75th
5
5.4 +/- 0.4
75th
13
5.4 +/- 0.3
73rd
6
5.5 +/- 0.1
72nd
16
5.5 +/- 0.2
69th
3
5.6 +/- 0.8
68th
12
5.6 +/- 0.5
63rd
15
5.8 +/- 0.6
63rd
4
5.8 +/- 0.7
60th
10
6.0 +/- 0.1
60th
5
6.0 +/- 0.1
59th
9
6.0 +/- 0.5
55th
8
6.3 +/- 0.8
54th
4
6.3 +/- 0.6
54th
7
6.3 +/- 0.5
53rd
4
6.4 +/- 0.1
53rd
8
6.4 +/- 0.2
53rd
6
6.4 +/- 0.9
51st
8
6.5 +/- 0.2
Median
50th
6.5
49th
7
6.6 +/- 0.5
48th
7
6.6 +/- 0.1
46th
7
6.7 +/- 0.2
44th
13
6.9 +/- 0.8
43rd
7
6.9 +/- 0.1
43rd
8
6.9 +/- 0.7
43rd
3
6.9 +/- 0.3
41st
4
7.0 +/- 0.4
37th
10
7.3 +/- 0.6
36th
6
7.4 +/- 0.6
36th
12
7.4 +/- 0.3
33rd
7
7.5 +/- 1.1
32nd
5
7.6 +/- 0.2
Low-Tier
25th
> 7.9
23rd
8
8.1 +/- 0.3
21st
7
8.3 +/- 0.7
21st
3
8.3 +/- 0.9
16th
3
9.1 +/- 0.3
16th
3
9.2 +/- 0.6
14th
4
9.5 +/- 0.6
12th
4
10.4 +/- 0.6
9th
4
12.5 +/- 1.0
9th
6
12.6 +/- 0.1
4th
27
26.3 +/- 3.3
3rd
3
29.7 +/- 0.1
2nd
13
36.2 +/- 2.8
OpenBenchmarking.orgDistribution Of Public Results - Operation: Scale1488 Results Range From 3 To 147 Seconds3152739516375879911112313514730060090012001500

Based on OpenBenchmarking.org data, the selected test / test configuration (GEGL - Operation: Scale) 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.

OpenBenchmarking.orgMinutesTime Required To Complete BenchmarkOperation: ScaleRun-Time246810Min: 1 / Avg: 1.08 / Max: 4

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.5%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsOperation: ScaleDeviation246810Min: 0 / Avg: 0.5 / Max: 4

Does It Scale Well With Increasing Cores?

No, based on the automated analysis of the collected public benchmark data, this test / test settings does not generally scale well with increasing CPU core counts. Data based on publicly available results for this test / test settings, separated by vendor, result divided by the reference CPU clock speed, grouped by matching physical CPU core count, and normalized against the smallest core count tested from each vendor for each CPU having a sufficient number of test samples and statistically significant data.

AMDIntelOpenBenchmarking.orgRelative Core Scaling To BaseGEGL CPU Core ScalingOperation: Scale2468101214162432640.46670.93341.40011.86682.3335

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
x86_64
(Many Processors)
IBM POWER (PowerPC) 64-bit
ppc64le
POWER9 4-Core, POWER9 44-Core
Intel / AMD x86 32-bit
i686
(Many Processors)
ARMv7 32-bit
armv7l
ARMv7 4-Core, ARMv7 Cortex-A72 4-Core, ARMv7 Cortex-A9 2-Core, ARMv7 rev 3 4-Core
ARMv8 64-bit
arm64
Apple M1, Apple M1 Max
ARMv8 64-bit
aarch64
ARMv8 Cortex-A53 4-Core, ARMv8 Cortex-A53 8-Core, ARMv8 Cortex-A72 4-Core, ARMv8 Cortex-A73 6-Core, ARMv8 Cortex-A76 4-Core, ARMv8 Neoverse-N1, ARMv8 Neoverse-N1 64-Core, AmpereOne 192-Core, Apple, Apple M1, Apple M2, HUAWEI Kunpeng 920 2249K, Rockchip ARMv8 Cortex-A76 4-Core

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