Java SciMark

This test runs the Java version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This benchmark is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks.

To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark java-scimark2.

Project Site

math.nist.gov

Test Created

6 December 2010

Last Updated

3 March 2018

Test Maintainer

Michael Larabel 

Test Type

Processor

Average Install Time

1 Second

Average Run Time

2 Minutes, 23 Seconds

Test Dependencies

Java

Accolades

200k+ Downloads + 5k+ Public Benchmark Results

Supported Platforms


Public Result UploadsTest Completions*Reported Installs*OpenBenchmarking.orgEventsJava SciMark Popularity Statisticspts/java-scimark22011.042011.082011.122012.042012.082012.122013.042013.082013.122014.042014.082014.122015.042015.082015.122016.042016.082016.122017.042017.082017.122018.042018.082018.122019.042019.082019.122020.042020.082020.122021.0420K40K60K80K100K
* 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.
Data current as of Sat, 10 Apr 2021 06:50:51 GMT.
Jacobi Successive Over-Relaxation14.4%Composite24.6%Dense LU Matrix Factorization18.3%Sparse Matrix Multiply13.7%Fast Fourier Transform14.4%Monte Carlo14.6%Computational Test Option PopularityOpenBenchmarking.org

Revision History

pts/java-scimark2-1.1.2   [View Source]   Sat, 03 Mar 2018 17:57:05 GMT
Windows support, just needs Windows added to SupportedPlatforms.

pts/java-scimark2-1.1.1   [View Source]   Mon, 06 Dec 2010 14:53:42 GMT
Initial import into OpenBenchmarking.org

Suites Using This Test

Java

CPU Massive

Single-Threaded


Performance Metrics

Analyze Test Configuration:

Java SciMark 2.0

Monte Carlo Performance

OpenBenchmarking.org metrics for this test profile configuration based on 139,556 public results since 6 December 2010 with the latest data as of 13 February 2020.

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
# Matching Public Results
Mflops (Average)
100th
8
1284 +/- 2
100th
3
1256 +/- 32
100th
6
1156 +/- 1
100th
3
1113 +/- 1
100th
3
1089 +/- 15
100th
3
973 +/- 132
100th
4
946 +/- 73
100th
3
932 +/- 81
100th
4
928 +/- 67
99th
5
898 +/- 72
Mid-Tier
75th
< 874
55th
3
862 +/- 11
Median
50th
859
41st
12
851 +/- 28
31st
3
836 +/- 41
31st
3
835 +/- 3
28th
6
826 +/- 43
Low-Tier
25th
< 819
24th
6
813 +/- 16
20th
4
778 +/- 1
20th
3
773 +/- 54
19th
5
761 +/- 1
18th
3
748 +/- 26
18th
3
734 +/- 11
17th
4
717 +/- 27
16th
4
715 +/- 87
16th
3
713 +/- 2
15th
6
694 +/- 58
15th
7
688 +/- 26
14th
4
669 +/- 13
14th
3
662 +/- 7
13th
3
591 +/- 1
12th
3
577 +/- 39
12th
3
574 +/- 31
9th
3
548 +/- 16
8th
3
514 +/- 45
8th
6
502 +/- 25
6th
3
426 +/- 4
6th
3
422 +/- 3
6th
3
403 +/- 26
5th
3
352 +/- 3
3rd
3
286 +/- 2
OpenBenchmarking.orgDistribution Of Public Results - Monte Carlo Performance138301 Results Range From 0 To 1933 Mflops04488132176220264308352396440484528572616660704748792836880924968101210561100114411881232127613201364140814521496154015841628167217161760180418481892193616K32K48K64K80K

Based on OpenBenchmarking.org data, the selected test / test configuration (Java SciMark 2.0 - Monte Carlo Performance) has an average run-time of 2 minutes. By default this test profile is set to run at least 4 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 BenchmarkMonte Carlo PerformanceRun-Time246810Min: 1 / Avg: 1 / Max: 1

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 3.9%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsMonte Carlo PerformanceDeviation918273645Min: 0 / Avg: 3.89 / Max: 41

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