G'MIC

G'MIC is an open-source framework for image processing.

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

Project Site

gmic.eu

Test Created

21 April 2020

Test Maintainer

Michael Larabel 

Test Type

System

Average Install Time

2 Seconds

Average Run Time

3 Minutes, 55 Seconds

Accolades

5k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsG'MIC Popularity Statisticssystem/gmic2020.042020.062020.082020.102020.122021.022021.042021.062021.082021.102021.122022.022022.042022.062022.082022.102022.122023.022023.042023.062023.082023.102023.122024.022024.042024.062024.082024.109001800270036004500
* 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 21 November 2024.
Plotting Isosurface Of A 3D Volume, 1000 Times36.9%3D Elevated Function In Random Colors, 100 Times29.8%2D Function Plotting, 1000 Times33.3%Test Option PopularityOpenBenchmarking.org

Revision History

system/gmic-1.0.0   [View Source]   Tue, 21 Apr 2020 12:57:06 GMT
Initial commit for GMIC.

Suites Using This Test

Imaging

Creator Workloads


Performance Metrics

Analyze Test Configuration:

G'MIC

Test: 2D Function Plotting, 1000 Times

OpenBenchmarking.org metrics for this test profile configuration based on 618 public results since 21 April 2020 with the latest data as of 14 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.

Component
Percentile Rank
# Compatible Public Results
Seconds (Average)
100th
3
51 +/- 1
99th
11
54 +/- 1
94th
5
59 +/- 1
92nd
4
63 +/- 1
83rd
10
77 +/- 6
Mid-Tier
75th
> 85
65th
4
88 +/- 3
65th
17
88 +/- 3
64th
6
89 +/- 3
59th
9
91 +/- 3
59th
3
91 +/- 3
57th
10
92 +/- 7
53rd
3
95 +/- 2
Median
50th
98
50th
5
98 +/- 1
48th
6
99 +/- 7
48th
3
99 +/- 2
47th
5
100 +/- 1
45th
3
101 +/- 1
45th
3
101 +/- 1
45th
9
101 +/- 5
44th
4
102 +/- 5
44th
5
103 +/- 2
44th
3
103 +/- 2
41st
4
104 +/- 2
37th
4
109 +/- 2
37th
7
111 +/- 5
35th
6
113 +/- 7
33rd
3
115 +/- 1
33rd
3
115 +/- 2
32nd
3
116 +/- 3
27th
3
125 +/- 1
Low-Tier
25th
> 127
24th
3
132 +/- 13
22nd
4
138 +/- 2
20th
3
140 +/- 1
19th
3
143 +/- 11
17th
4
148 +/- 5
17th
3
150 +/- 1
16th
12
151 +/- 15
12th
3
187 +/- 1
10th
4
199 +/- 2
2nd
6
2959 +/- 15
1st
3
3306 +/- 27
OpenBenchmarking.orgDistribution Of Public Results - Test: 2D Function Plotting, 1000 Times618 Results Range From 49 To 3326 Seconds4911518124731337944551157764370977584190797310391105117112371303136914351501156716331699176518311897196320292095216122272293235924252491255726232689275528212887295330193085315132173283334990180270360450

Based on OpenBenchmarking.org data, the selected test / test configuration (G'MIC - Test: 2D Function Plotting, 1000 Times) has an average run-time of 9 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 BenchmarkTest: 2D Function Plotting, 1000 TimesRun-Time1632486480Min: 3 / Avg: 8.67 / Max: 84

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.7%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsTest: 2D Function Plotting, 1000 TimesDeviation3691215Min: 0 / Avg: 0.65 / Max: 8

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.

IntelAMDOpenBenchmarking.orgRelative Core Scaling To BaseG'MIC CPU Core ScalingTest: 2D Function Plotting, 1000 Times2468101214160.41880.83761.25641.67522.094

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
Loongson LoongArch 64-bit
loongarch64
Loongson-3A5000LL
Intel / AMD x86 32-bit
i686
(Many Processors)
ARMv7 32-bit
armv7l
ARMv7 Cortex-A72 4-Core
ARMv8 64-bit
aarch64
ARMv8 Cortex-A53 4-Core, ARMv8 Cortex-A72 4-Core, AmpereOne 192-Core, Apple, Rockchip ARMv8 Cortex-A76 6-Core, phytium FT1500a

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