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, 26 Seconds

Test Dependencies

Java

Accolades

200k+ Downloads + 5k+ Public Benchmark Results

Supported Platforms


Public Result Uploads *Reported Test Completions **Reported Installs **Test Profile Page Views ***OpenBenchmarking.orgEventsJava SciMark Popularity Statisticspts/java-scimark22010.122011.042011.082011.122012.042012.082012.122013.042013.082013.122014.042014.082014.122015.042015.082015.122016.042016.082016.122017.042017.082017.122018.042018.082018.122019.042019.082019.122020.042020.082020.122021.0420K40K60K80K100K
* 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 19 June 2021.
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

Computational Test: Composite

OpenBenchmarking.org metrics for this test profile configuration based on 1,950 public results since 12 December 2010 with the latest data as of 17 June 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
Mflops (Average)
100th
14
3755 +/- 126
100th
6
3615 +/- 372
100th
13
3579 +/- 69
99th
6
3195 +/- 120
98th
5
3133 +/- 95
98th
33
3096 +/- 95
97th
11
3062 +/- 35
95th
7
3015 +/- 50
94th
8
2971 +/- 193
93rd
3
2899 +/- 181
92nd
27
2873 +/- 38
92nd
8
2863 +/- 128
91st
4
2833 +/- 130
90th
6
2749 +/- 11
89th
8
2727 +/- 104
88th
3
2648 +/- 27
87th
6
2587 +/- 8
86th
5
2572 +/- 3
85th
9
2513 +/- 206
84th
4
2479 +/- 2
83rd
10
2476 +/- 16
81st
4
2443 +/- 187
81st
6
2437 +/- 24
81st
3
2434 +/- 10
81st
15
2433 +/- 133
79th
4
2392 +/- 18
79th
5
2386 +/- 29
79th
3
2385 +/- 1
78th
39
2373 +/- 93
78th
12
2353 +/- 69
77th
3
2349 +/- 246
77th
58
2333 +/- 149
76th
5
2317 +/- 18
Mid-Tier
75th
< 2296
75th
4
2289 +/- 5
75th
3
2283 +/- 167
75th
3
2280 +/- 65
74th
7
2273 +/- 4
73rd
4
2252 +/- 186
72nd
6
2237 +/- 26
70th
10
2218 +/- 159
69th
17
2209 +/- 159
69th
7
2205 +/- 22
68th
3
2179 +/- 24
68th
5
2177 +/- 96
67th
35
2155 +/- 93
66th
21
2122 +/- 111
66th
4
2120 +/- 5
65th
9
2107 +/- 260
64th
10
2084 +/- 63
63rd
8
2056 +/- 69
62nd
3
2055 +/- 105
62nd
9
2048 +/- 100
61st
3
2021 +/- 291
61st
3
2011 +/- 13
60th
7
1995 +/- 35
60th
4
1988 +/- 94
59th
3
1981 +/- 49
59th
6
1975 +/- 202
58th
12
1969 +/- 19
58th
19
1968 +/- 156
58th
10
1964 +/- 15
56th
5
1932 +/- 77
55th
21
1916 +/- 55
55th
13
1915 +/- 15
55th
11
1896 +/- 122
53rd
3
1876 +/- 16
53rd
3
1870 +/- 13
52nd
3
1837 +/- 20
51st
3
1803 +/- 20
51st
7
1802 +/- 15
Median
50th
1802
50th
11
1794 +/- 19
49th
4
1784 +/- 121
47th
3
1716 +/- 64
47th
7
1703 +/- 237
47th
4
1700 +/- 98
47th
5
1700 +/- 29
47th
10
1693 +/- 123
46th
3
1674 +/- 75
45th
6
1660 +/- 228
45th
3
1653 +/- 40
44th
6
1634 +/- 107
43rd
19
1620 +/- 11
41st
15
1558 +/- 15
39th
3
1502 +/- 41
39th
3
1476 +/- 28
38th
15
1435 +/- 61
38th
6
1432 +/- 149
37th
9
1399 +/- 162
34th
4
1285 +/- 18
30th
4
1133 +/- 19
28th
4
1110 +/- 145
28th
3
1103 +/- 55
27th
4
1091 +/- 2
27th
15
1077 +/- 49
26th
4
1061 +/- 5
26th
4
1030 +/- 89
Low-Tier
25th
< 1029
25th
4
989 +/- 32
22nd
4
906 +/- 83
22nd
7
880 +/- 45
20th
11
817 +/- 87
19th
6
770 +/- 77
17th
11
710 +/- 10
12th
4
547 +/- 1
11th
3
532 +/- 2
11th
3
531 +/- 5
10th
4
498 +/- 21
8th
3
407 +/- 2
OpenBenchmarking.orgDistribution Of Public Results - Computational Test: Composite1950 Results Range From 2 To 4110 Mflops2851682513344175005836667498329159981081116412471330141314961579166217451828191119942077216022432326240924922575265827412824290729903073315632393322340534883571365437373820390339864069415220406080100

Based on OpenBenchmarking.org data, the selected test / test configuration (Java SciMark 2.0 - Computational Test: Composite) has an average run-time of 3 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: CompositeRun-Time48121620Min: 1 / Avg: 2.74 / Max: 16

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: CompositeDeviation246810Min: 0 / Avg: 0.71 / Max: 6

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 BaseJava SciMark CPU Core ScalingComputational Test: Composite24681216320.73131.46262.19392.92523.6565

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