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, 24 Seconds

Accolades

200k+ Downloads + 5k+ Public Benchmark Results

Supported Platforms


Public Result UploadsTest Completions*Reported Installs*OpenBenchmarking.orgEventsJava SciMark Popularity Statisticspts/java-scimark22011.012011.052011.092012.012012.052012.092013.012013.052013.092014.012014.052014.092015.012015.052015.092016.012016.052016.092017.012017.052017.092018.012018.052018.092019.012019.052019.092020.012020.052020.092021.0120K40K60K80K100K
* 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 Wed, 20 Jan 2021 06:27:05 GMT.
Jacobi Successive Over-Relaxation14.3%Composite24.6%Dense LU Matrix Factorization18.4%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

Computational Test: Sparse Matrix Multiply

OpenBenchmarking.org metrics for this test profile configuration based on 1,041 public results since 15 August 2011 with the latest data as of 10 January 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
# Matching Public Results
Mflops (Average)
100th
4
3109 +/- 163
100th
6
2943 +/- 723
100th
6
2910 +/- 175
97th
11
2790 +/- 30
97th
30
2789 +/- 131
95th
5
2758 +/- 83
95th
14
2748 +/- 234
92nd
6
2667 +/- 209
92nd
8
2664 +/- 171
90th
15
2639 +/- 56
85th
28
2501 +/- 80
83rd
3
2369 +/- 36
82nd
4
2323 +/- 3
81st
3
2313 +/- 114
81st
3
2308 +/- 33
77th
30
2224 +/- 72
76th
5
2165 +/- 89
Mid-Tier
75th
< 2156
73rd
8
2103 +/- 438
72nd
10
2097 +/- 92
71st
12
2061 +/- 65
66th
4
1932 +/- 176
66th
4
1925 +/- 1
65th
4
1919 +/- 1
64th
3
1887 +/- 241
63rd
9
1873 +/- 8
62nd
4
1843 +/- 120
62nd
7
1830 +/- 110
61st
3
1810 +/- 136
61st
3
1806 +/- 178
61st
3
1784 +/- 11
59th
3
1745 +/- 119
58th
3
1717 +/- 14
58th
4
1715 +/- 19
58th
3
1714 +/- 6
57th
4
1695 +/- 271
56th
5
1664 +/- 23
55th
5
1651 +/- 26
53rd
7
1611 +/- 228
53rd
3
1607 +/- 127
53rd
3
1598 +/- 50
53rd
3
1595 +/- 442
Median
50th
1540
50th
7
1540 +/- 412
48th
3
1476 +/- 107
48th
4
1473 +/- 92
47th
5
1442 +/- 345
40th
6
1231 +/- 165
39th
9
1206 +/- 139
36th
3
1095 +/- 6
30th
4
977 +/- 24
29th
3
921 +/- 13
Low-Tier
25th
< 825
24th
11
821 +/- 6
21st
4
693 +/- 126
21st
9
687 +/- 103
17th
3
574 +/- 155
14th
3
507 +/- 22
14th
4
469 +/- 21
12th
8
398 +/- 52
10th
4
318 +/- 68
10th
3
318 +/- 51
8th
5
241 +/- 58
OpenBenchmarking.orgDistribution Of Public Results - Computational Test: Sparse Matrix Multiply1041 Results Range From 0 To 3256 Mflops066132198264330396462528594660726792858924990105611221188125413201386145215181584165017161782184819141980204621122178224423102376244225082574264027062772283829042970303631023168323433001122334455

Based on OpenBenchmarking.org data, the selected test / test configuration (Java SciMark 2.0 - Computational Test: Sparse Matrix Multiply) 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 BenchmarkComputational Test: Sparse Matrix MultiplyRun-Time246810Min: 1 / Avg: 1 / Max: 1

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 RunsComputational Test: Sparse Matrix MultiplyDeviation3691215Min: 0 / Avg: 0.7 / Max: 12

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