Java SciMark

This test runs the Java version of SciMark 2, 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

Source Repository

github.com

Test Created

6 December 2010

Last Updated

21 November 2023

Test Maintainer

Michael Larabel 

Test Type

Processor

Average Install Time

2 Seconds

Average Run Time

2 Minutes, 41 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-scimark22010.122011.052011.102012.032012.082013.012013.062013.112014.042014.092015.022015.072015.122016.052016.102017.032017.082018.012018.062018.112019.042019.092020.022020.072020.122021.052021.102022.032022.082023.012023.062023.1120K40K60K80K100K
* 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 26 March 2024.

Revision History

pts/java-scimark2-1.2.0   [View Source]   Tue, 21 Nov 2023 10:57:30 GMT
Update against Java SciMark 2.2 upstream.

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 2,255 public results since 26 February 2011 with the latest data as of 26 December 2023.

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
20
3874 +/- 230
99th
32
3669 +/- 179
99th
12
3664 +/- 268
98th
16
3582 +/- 135
98th
4
3564 +/- 18
97th
10
3519 +/- 476
97th
3
3517 +/- 97
97th
7
3483 +/- 92
96th
4
3456 +/- 114
95th
4
3223 +/- 13
95th
9
3212 +/- 139
93rd
36
3131 +/- 134
93rd
4
3096 +/- 114
92nd
5
3080 +/- 457
92nd
10
3063 +/- 37
91st
3
3052 +/- 35
90th
6
3019 +/- 53
90th
7
3000 +/- 441
90th
16
2993 +/- 445
89th
3
2980 +/- 42
89th
10
2968 +/- 171
87th
3
2899 +/- 181
87th
8
2863 +/- 128
87th
5
2858 +/- 126
87th
22
2845 +/- 90
85th
5
2750 +/- 12
83rd
3
2648 +/- 27
82nd
4
2606 +/- 144
81st
6
2587 +/- 8
81st
7
2566 +/- 204
78th
8
2478 +/- 17
78th
5
2476 +/- 14
76th
4
2443 +/- 187
76th
3
2434 +/- 10
76th
15
2433 +/- 133
Mid-Tier
75th
< 2431
74th
9
2395 +/- 213
74th
34
2392 +/- 86
74th
4
2392 +/- 18
74th
5
2390 +/- 190
74th
5
2386 +/- 29
73rd
5
2370 +/- 21
73rd
10
2354 +/- 76
72nd
3
2338 +/- 138
71st
53
2323 +/- 153
71st
5
2317 +/- 18
70th
4
2289 +/- 69
66th
5
2214 +/- 159
66th
11
2208 +/- 155
66th
15
2207 +/- 169
65th
3
2179 +/- 24
64th
3
2168 +/- 11
64th
3
2158 +/- 187
63rd
30
2153 +/- 100
63rd
3
2127 +/- 79
63rd
21
2122 +/- 111
63rd
4
2120 +/- 5
62nd
6
2111 +/- 263
62nd
4
2108 +/- 47
59th
8
2056 +/- 69
59th
3
2055 +/- 105
59th
7
2052 +/- 272
58th
3
2021 +/- 291
57th
7
2018 +/- 216
57th
5
2014 +/- 129
57th
3
2011 +/- 13
57th
4
1988 +/- 94
56th
3
1981 +/- 49
56th
19
1968 +/- 156
56th
3
1952 +/- 14
54th
3
1910 +/- 16
53rd
3
1876 +/- 16
52nd
3
1837 +/- 20
52nd
4
1834 +/- 73
Median
50th
1816
50th
3
1803 +/- 20
49th
4
1784 +/- 121
49th
3
1771 +/- 28
49th
8
1771 +/- 111
48th
5
1739 +/- 32
47th
3
1716 +/- 64
47th
11
1714 +/- 184
46th
3
1705 +/- 2
46th
5
1700 +/- 29
45th
3
1674 +/- 75
44th
6
1660 +/- 228
44th
3
1653 +/- 40
43rd
5
1639 +/- 163
41st
8
1573 +/- 185
41st
4
1558 +/- 102
39th
3
1502 +/- 41
38th
3
1476 +/- 28
38th
4
1463 +/- 43
37th
10
1446 +/- 73
37th
6
1432 +/- 149
35th
9
1399 +/- 162
35th
7
1381 +/- 33
32nd
6
1277 +/- 10
32nd
5
1277 +/- 58
29th
3
1181 +/- 29
27th
4
1133 +/- 19
26th
4
1091 +/- 2
26th
4
1087 +/- 54
Low-Tier
25th
< 1083
25th
4
1061 +/- 5
24th
4
1030 +/- 89
23rd
4
989 +/- 32
21st
4
906 +/- 83
21st
7
880 +/- 45
19th
11
817 +/- 87
19th
4
784 +/- 18
18th
6
770 +/- 77
17th
3
716 +/- 14
16th
11
710 +/- 10
16th
3
701 +/- 1
10th
3
532 +/- 2
10th
3
531 +/- 5
9th
4
498 +/- 21
7th
5
413 +/- 8
OpenBenchmarking.orgDistribution Of Public Results - Computational Test: Composite2255 Results Range From 2 To 4839 Mflops299196293390487584681778875972106911661263136014571554165117481845194220392136223323302427252426212718281529123009310632033300339734943591368837853882397940764173427043674464456146584755485220406080100

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 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 BenchmarkComputational Test: CompositeRun-Time3691215Min: 1 / Avg: 2.56 / Max: 10

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.8%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsComputational Test: CompositeDeviation246810Min: 0 / Avg: 0.77 / 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: Composite2468101216320.72921.45842.18762.91683.646

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)
sun4v
SPARC-T3 sparcv9
Sun UltraSPARC
sun4u
SPARC64-VII sparcv9
SPARC64
sparc64
(Many Processors)
IBM Z
s390x
(Many Processors)
IBM POWER (PowerPC) 64-bit
ppc64le
POWER8, POWER8E, POWER9 altivec supported 44-Core
IBM POWER (PowerPC)
ppc
(Many Processors)
MIPS 64-bit
mips64
ICT Loongson-3A R3, ICT Loongson-3B V0.7 FPU V0.1, Loongson-3A R3, Loongson-3A R4
MIPS
mips
Baikal-T1 1.2 GHz MIPS P5600 V3.0 FPU V2.0, MIPS P5600 V3.0 FPU V2.0
Loongson LoongArch 64-bit
loongarch64
Loongson-3A5000, Loongson-3A5000-HV, Loongson-3A5000LL, Loongson-3A6000, Loongson-3A6000-HV
Intel / AMD x86 32-bit
i686
(Many Processors)
Intel / AMD x86 32-bit
i386
(Many Processors)
Elbrus 2000
e2k
E2C
ARMv7 32-bit
armv7l
ARMv7 Cortex-A72 4-Core, ARMv7 rev 1 2-Core, ARMv7 rev 1 4-Core, ARMv7 rev 10 4-Core, ARMv7 rev 2, ARMv7 rev 2 16-Core, ARMv7 rev 2 2-Core, ARMv7 rev 3 4-Core, ARMv7 rev 3 8-Core, ARMv7 rev 4 2-Core, ARMv7 rev 5, ARMv7 rev 5 4-Core, Exynos ARMv7 rev 3 8-Core
ARMv6 32-bit
armv6l
ARMv6-compatible rev 7, Marvell PJ4Bv6 rev 0
ARMv8 64-bit
arm64
Apple M1, Apple M1 Max
ARMv8 64-bit
aarch64
AArch64 rev 4, ARMv8 Cortex-A53 4-Core, ARMv8 Cortex-A57 4-Core, ARMv8 Cortex-A72 16-Core, ARMv8 Cortex-A72 4-Core, ARMv8 Cortex-A73 6-Core, ARMv8 Neoverse-N1, ARMv8 Neoverse-N1 16-Core, ARMv8 Neoverse-N1 2-Core, ARMv8 Neoverse-N1 4-Core, ARMv8 Neoverse-N1 8-Core, ARMv8 Neoverse-V1, ARMv8 Neoverse-V1 4-Core, ARMv8 Neoverse-V1 8-Core, ARMv8 rev 0 8-Core, ARMv8 rev 3 4-Core, Ampere ARMv8 Neoverse-N1 256-Core, Apple, Apple M1, Apple M2, Phytium FT-2000, Rockchip ARMv8 Cortex-A76 4-Core, Rockchip ARMv8 Cortex-A76 6-Core