SciMark

This test runs the ANSI C 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 test 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 scimark2.

Project Site

math.nist.gov

Test Created

6 December 2010

Last Updated

17 May 2018

Test Maintainer

Michael Larabel 

Test Type

Processor

Average Install Time

9 Seconds

Average Run Time

2 Minutes, 7 Seconds

Test Dependencies

C/C++ Compiler Toolchain

Accolades

250k+ Downloads + 10k+ Public Benchmark Results

Supported Platforms


Public Result Uploads *Reported Test Completions **Reported Installs **Test Profile Page Views ***OpenBenchmarking.orgEventsSciMark Popularity Statisticspts/scimark22010.122011.052011.102012.032012.082013.012013.062013.112014.042014.092015.022015.072015.122016.052016.102017.032017.082018.012018.062018.112019.042019.092020.022020.072020.122021.052021.102022.032022.082023.012023.062023.112024.0450K100K150K200K250K
* 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 21 April 2024.
Sparse Matrix Multiply14.7%Fast Fourier Transform15.7%Monte Carlo15.2%Jacobi Successive Over-Relaxation14.9%Dense LU Matrix Factorization15.3%Composite24.1%Computational Test Option PopularityOpenBenchmarking.org

Revision History

pts/scimark2-1.3.2   [View Source]   Thu, 17 May 2018 15:44:10 GMT
Update download links.

pts/scimark2-1.3.1   [View Source]   Sun, 04 Mar 2018 15:06:54 GMT
Add Windows support.

pts/scimark2-1.3.0   [View Source]   Tue, 25 Jul 2017 09:13:45 GMT
Remove accidentally left in -O1 from build string

pts/scimark2-1.2.1   [View Source]   Wed, 01 Feb 2017 11:13:06 GMT
Build improvements

pts/scimark2-1.2.0   [View Source]   Fri, 21 Jun 2013 14:23:04 GMT
Ensure CXXFLAGS are honored.

pts/scimark2-1.1.1   [View Source]   Mon, 06 Dec 2010 15:21:10 GMT
Initial import into OpenBenchmarking.org

Suites Using This Test

C/C++ Compiler Tests

Single-Threaded


Performance Metrics

Analyze Test Configuration:

SciMark 2.0

Computational Test: Monte Carlo

OpenBenchmarking.org metrics for this test profile configuration based on 2,954 public results since 25 July 2017 with the latest data as of 26 April 2024.

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)
98th
3
810 +/- 43
94th
6
673 +/- 15
92nd
11
570 +/- 15
92nd
10
568 +/- 23
91st
4
562 +/- 30
90th
19
556 +/- 8
86th
8
470 +/- 24
83rd
10
243 +/- 3
79th
4
191 +/- 9
77th
3
176 +/- 10
76th
3
165 +/- 7
Mid-Tier
75th
< 164
73rd
4
156 +/- 6
71st
4
152 +/- 2
69th
12
148 +/- 3
68th
8
146 +/- 11
67th
3
143 +/- 1
64th
4
138 +/- 2
64th
3
138 +/- 13
64th
9
138 +/- 3
64th
5
137 +/- 4
62nd
8
134 +/- 11
60th
3
130 +/- 1
60th
3
130 +/- 1
59th
3
129 +/- 2
59th
5
129 +/- 1
59th
3
128 +/- 3
57th
6
127 +/- 3
57th
4
127 +/- 2
54th
3
125 +/- 3
53rd
23
124 +/- 5
52nd
3
123 +/- 2
51st
4
122 +/- 10
Median
50th
121
50th
3
121 +/- 2
49th
4
120 +/- 1
49th
3
120 +/- 1
49th
3
120 +/- 5
45th
5
118 +/- 2
44th
4
116 +/- 8
44th
10
116 +/- 5
43rd
4
115 +/- 2
41st
3
113 +/- 5
40th
4
112 +/- 3
39th
5
110 +/- 1
38th
6
109 +/- 8
35th
7
106 +/- 4
33rd
3
103 +/- 6
31st
5
101 +/- 3
29th
3
96 +/- 1
Low-Tier
25th
< 91
24th
4
89 +/- 4
24th
5
89 +/- 4
23rd
4
86 +/- 3
22nd
4
85 +/- 3
17th
4
68 +/- 1
16th
4
67 +/- 1
16th
6
65 +/- 3
14th
3
63 +/- 5
14th
6
63 +/- 1
10th
3
48 +/- 2
OpenBenchmarking.orgDistribution Of Public Results - Computational Test: Monte Carlo2954 Results Range From 5 To 2120 Mflops5519714318923528132737341946551155760364969574178783387992597110171063110911551201124712931339138514311477152315691615166117071753179918451891193719832029207521212004006008001000

Based on OpenBenchmarking.org data, the selected test / test configuration (SciMark 2.0 - Computational Test: Monte Carlo) 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 BenchmarkComputational Test: Monte CarloRun-Time246810Min: 1 / Avg: 1.23 / Max: 2

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.5%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsComputational Test: Monte CarloDeviation3691215Min: 0 / Avg: 0.5 / Max: 8

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 BaseSciMark CPU Core ScalingComputational Test: Monte Carlo2468121620243236641.41252.8254.23755.657.0625

Notable Instruction Set Usage

Notable instruction set extensions supported by this test, based on an automatic analysis by the Phoronix Test Suite / OpenBenchmarking.org analytics engine.

Instruction Set
Support
Instructions Detected
SSE2 (SSE2)
Used by default on supported hardware.
 
CVTSI2SD MULSD SUBSD MOVAPD ADDSD DIVSD COMISD ANDPD UCOMISD
Requires passing a supported compiler/build flag (verified with targets: sandybridge, skylake, tigerlake, cascadelake, sapphirerapids, alderlake, znver2, znver3).
Found on Intel processors since Sandy Bridge (2011).
Found on AMD processors since Bulldozer (2011).

 
VINSERTF128 VEXTRACTF128 VZEROUPPER VBROADCASTSD
Requires passing a supported compiler/build flag (verified with targets: skylake, tigerlake, cascadelake, sapphirerapids, alderlake, znver2, znver3).
Found on Intel processors since Haswell (2013).
Found on AMD processors since Excavator (2016).

 
VPBROADCASTD VINSERTI128 VEXTRACTI128
FMA (FMA)
Requires passing a supported compiler/build flag (verified with targets: skylake, tigerlake, cascadelake, sapphirerapids, alderlake, znver2, znver3).
Found on Intel processors since Haswell (2013).
Found on AMD processors since Bulldozer (2011).

 
VFMADD213SD VFMADD132SD VFNMADD132SD VFMSUB231SD VFNMADD213PD VFNMADD132PD VFNMADD213SD VFMADD231SD
Advanced Vector Extensions 512 (AVX512)
Requires passing a supported compiler/build flag (verified with targets: cascadelake, sapphirerapids).
 
(ZMM REGISTER USE)
The test / benchmark does honor compiler flag changes.
Last automated analysis: 18 January 2022

This test profile binary relies on the shared libraries libm.so.6, libc.so.6.

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)
SPARC64
sparc64
UltraSparc T3
IBM Z
s390x
(Many Processors)
RISC-V 64-bit
riscv64
SiFive RISC-V, rv64imafdcvsu, sifive rocket0
IBM POWER (PowerPC) 64-bit
ppc64le
POWER8, POWER9 16-Core, POWER9 4-Core, POWER9 44-Core, POWER9 8-Core, POWER9 altivec supported 44-Core, POWER9 altivec supported 64-Core
IBM POWER (PowerPC) 64-bit
ppc64
e6500
IBM POWER (PowerPC)
ppc
7447A altivec supported
MIPS 64-bit
mips64
Loongson-2K V0.3 FPU V0.1, Loongson-3A R3, Loongson-3A R4, Loongson-3B R2
Loongson LoongArch 64-bit
loongarch64
Loongson-3A5000, 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
E8C
ARMv8 64-bit
armv8l
ARMv8 rev 12 8-Core, ARMv8 rev 4 8-Core
ARMv7 32-bit
armv7l
ARMv7 Cortex-A15 8-Core, ARMv7 Cortex-A53 4-Core, ARMv7 Cortex-A7 4-Core, ARMv7 Cortex-A72 4-Core, ARMv7 Cortex-A9, ARMv7 Cortex-A9 4-Core, ARMv7 rev 1 2-Core, ARMv7 rev 1 4-Core, ARMv7 rev 2, ARMv7 rev 3 3-Core, ARMv7 rev 3 4-Core, ARMv7 rev 3 8-Core, ARMv7 rev 4 4-Core, ARMv7 rev 5 3-Core, ARMv7 rev 5 4-Core
ARMv6 32-bit
armv6l
ARMv6-compatible rev 7
ARMv5 32-bit
armv5tel
Feroceon 88FR131 rev 1
ARMv8 64-bit
arm64
Apple M1, Apple M1 Pro
DEC Alpha
alpha
Alpha
ARMv8 64-bit
aarch64
AArch64 rev 4, ARMv8, ARMv8 Cortex-A53, ARMv8 Cortex-A53 4-Core, ARMv8 Cortex-A53 6-Core, ARMv8 Cortex-A53 8-Core, ARMv8 Cortex-A55 4-Core, ARMv8 Cortex-A57, ARMv8 Cortex-A57 4-Core, ARMv8 Cortex-A57 6-Core, ARMv8 Cortex-A57 8-Core, ARMv8 Cortex-A72, ARMv8 Cortex-A72 4-Core, ARMv8 Cortex-A72 6-Core, ARMv8 Cortex-A73 4-Core, ARMv8 Cortex-A73 6-Core, ARMv8 Cortex-A73 8-Core, ARMv8 Cortex-A76 4-Core, ARMv8 Cortex-A77 6-Core, ARMv8 Cortex-A78E 6-Core, ARMv8 Neoverse-N1, ARMv8 Neoverse-N1 80-Core, ARMv8 Neoverse-N2, ARMv8 Neoverse-V1, ARMv8 Neoverse-V2, ARMv8 rev 0 6-Core, ARMv8 rev 0 8-Core, ARMv8 rev 1 4-Core, ARMv8 rev 3 6-Core, Ampere eMAG ARMv8 32-Core, Apple M2, Apple M2 Max, FT2000AHK, Phytium D2000, Rockchip ARMv8 4-Core, Rockchip ARMv8 Cortex-A55 4-Core, Rockchip ARMv8 Cortex-A72 6-Core, Rockchip ARMv8 Cortex-A76 6-Core, SiFive RISC-V

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