GNU MPC

GNU MPC is a C library for the arithmetic of complex numbers.

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

Project Site

multiprecision.org

Test Created

13 January 2018

Last Updated

15 January 2019

Test Maintainer

Michael Larabel 

Test Type

Processor

Average Install Time

1 Minute, 28 Seconds

Average Run Time

2 Minutes, 50 Seconds

Test Dependencies

C/C++ Compiler Toolchain

Accolades

30k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsGNU MPC Popularity Statisticspts/mpcbench2018.012018.032018.052018.072018.092018.112019.012019.032019.052019.072019.092019.112020.012020.032020.052020.072020.092020.112021.012021.032021.052021.072021.092K4K6K8K10K
* 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 current as of 22 September 2021.

Revision History

pts/mpcbench-1.0.1   [View Source]   Tue, 15 Jan 2019 11:43:57 GMT
Update download URLs for mpfr.

pts/mpcbench-1.0.0   [View Source]   Sat, 13 Jan 2018 20:30:58 GMT
Initial commit of new benchmark support added to GNU MPC 1.1.0 multi-precision library.


Performance Metrics

Analyze Test Configuration:

GNU MPC 1.1.0

Multi-Precision Benchmark

OpenBenchmarking.org metrics for this test profile configuration based on 740 public results since 13 January 2018 with the latest data as of 30 August 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
# Compatible Public Results
Global Score (Average)
99th
13
11572 +/- 410
99th
4
11417 +/- 349
99th
8
11092 +/- 250
94th
35
10688 +/- 121
91st
20
9996 +/- 281
89th
3
9547 +/- 826
89th
3
9446 +/- 160
84th
12
9258 +/- 430
83rd
14
9254 +/- 18
81st
36
9233 +/- 53
78th
38
9144 +/- 67
76th
5
9120 +/- 412
Mid-Tier
75th
< 9110
73rd
3
8967 +/- 56
72nd
4
8862 +/- 541
68th
34
8594 +/- 46
67th
8
8522 +/- 542
67th
9
8504 +/- 201
60th
14
7805 +/- 72
57th
4
7659 +/- 39
55th
4
7578 +/- 1039
53rd
18
7524 +/- 80
Median
50th
7310
48th
32
7279 +/- 24
43rd
38
7204 +/- 46
38th
40
7129 +/- 35
34th
3
7044 +/- 34
34th
15
7037 +/- 58
31st
7
6921 +/- 1018
Low-Tier
25th
< 6083
25th
22
6058 +/- 99
23rd
4
5736 +/- 63
21st
3
5088 +/- 56
21st
4
4909 +/- 42
20th
3
4500 +/- 303
9th
23
3880 +/- 10
5th
3
2788 +/- 4
4th
3
2352 +/- 2
OpenBenchmarking.orgDistribution Of Public Results - Multi-Precision Benchmark740 Results Range From 193 To 12300 Global Score19343667992211651408165118942137238026232866310933523595383840814324456748105053529655395782602562686511675469977240748377267969821284558698894191849427967099131015610399106421088511128113711161411857121001234320406080100

Based on OpenBenchmarking.org data, the selected test / test configuration (GNU MPC 1.1.0 - Multi-Precision Benchmark) 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 BenchmarkMulti-Precision BenchmarkRun-Time246810Min: 1 / Avg: 2.11 / Max: 5

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.2%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsMulti-Precision BenchmarkDeviation246810Min: 0 / Avg: 0.16 / 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.

IntelAMDOpenBenchmarking.orgRelative Core Scaling To BaseGNU MPC CPU Core ScalingMulti-Precision Benchmark246820320.42920.85841.28761.71682.146

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32 Systems - 69 Benchmark Results

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Fedora 33 - 5.9.16-200.fc33.x86_64 - KDE Plasma 5.20.4

31 Systems - 69 Benchmark Results

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Fedora 30 - 5.3.7-200.fc30.x86_64 - KDE Plasma 5.15.5

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