libxsmm

Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities.

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

Project Site

libxsmm.readthedocs.io

Source Repository

github.com

Test Created

21 June 2023

Test Maintainer

Michael Larabel 

Test Type

Processor

Average Install Time

58 Seconds

Average Run Time

8 Minutes, 10 Seconds

Test Dependencies

C/C++ Compiler Toolchain

Accolades

10k+ Downloads

Supported Platforms

Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page ViewsOpenBenchmarking.orgEventslibxsmm Popularity Statisticspts/libxsmm2023.062023.072023.082023.092023.102023.112023.122024.012024.022024.032024.042024.052024.062024.072024.082024.092024.1011002200330044005500
* 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.
Data updated weekly as of 7 October 2024.
3233.2%6433.9%25614.4%12818.4%M N K Option PopularityOpenBenchmarking.org

Revision History

pts/libxsmm-1.0.1   [View Source]   Wed, 21 Jun 2023 18:35:34 GMT
Build fix.

pts/libxsmm-1.0.0   [View Source]   Wed, 21 Jun 2023 18:22:05 GMT
Initial commit of libxsmm benchmark.


Performance Metrics

Analyze Test Configuration:

libxsmm 2-1.17-3645

M N K: 64

OpenBenchmarking.org metrics for this test profile configuration based on 686 public results since 21 June 2023 with the latest data as of 30 September 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
GFLOPS/s (Average)
2 x AMD EPYC 9684X 96-Core
100th
8
5929 +/- 524
2 x Intel Xeon 6980P
98th
10
5298 +/- 520
2 x AMD EPYC 9654 96-Core
97th
7
2894 +/- 276
2 x AMD EPYC 9754 128-Core
97th
5
2832 +/- 13
2 x AMD EPYC 9554 64-Core
95th
7
2669 +/- 14
2 x AMD EPYC 9384X 32-Core
94th
7
2600 +/- 27
2 x AMD EPYC 7773X 64-Core
94th
8
2529 +/- 90
2 x Intel Xeon Platinum 8490H
91st
11
1799 +/- 37
2 x AMD EPYC 9184X 16-Core
89th
4
1490 +/- 4
AMD EPYC 9754 128-Core
88th
11
1461 +/- 5
AMD EPYC 9384X 32-Core
87th
4
1245 +/- 2
2 x Intel Xeon Platinum 8380
85th
11
1173 +/- 47
AMD Ryzen Threadripper PRO 7995WX 96-Cores
84th
7
1057 +/- 3
Intel Xeon Platinum 8490H
83rd
3
973 +/- 11
Intel Xeon Platinum 8471N
83rd
3
959 +/- 1
2 x AMD EPYC 7713 64-Core
82nd
6
942 +/- 30
2 x AMD EPYC 7303 16-Core
79th
3
729 +/- 7
Mid-Tier
75th
< 379
AMD Ryzen Threadripper PRO 5965WX 24-Cores
74th
6
328 +/- 29
AMD Ryzen Threadripper 3970X 32-Core
74th
4
319
Intel Core i9-14900K
72nd
7
302 +/- 1
Intel Core i9-13900K
71st
8
292 +/- 10
Intel Core i5-14500
70th
7
274 +/- 2
Intel Core i5-13600K
68th
3
264
AMD Ryzen 7 8700G
67th
7
260 +/- 6
AMD Ryzen 5 8400F 6-Core
66th
4
259
Intel Core i5-13400
66th
3
259
Intel Core i5-14600K
65th
7
253 +/- 21
AMD Ryzen 5 8600G
64th
9
248 +/- 13
AMD Ryzen 9 9950X 16-Core
61st
16
243 +/- 9
AMD Ryzen 7 9700X 8-Core
56th
9
237
AMD Ryzen Threadripper 3990X 64-Core
53rd
3
235 +/- 1
AMD Ryzen 9 9900X 12-Core
53rd
6
235 +/- 2
AMD Ryzen 5 9600X 6-Core
51st
9
232 +/- 4
Median
50th
231
AMD Ryzen 9 7900X3D 12-Core
50th
13
230 +/- 15
AMD Ryzen 9 7950X 16-Core
50th
15
230 +/- 17
AMD Ryzen 7 7800X3D 8-Core
50th
11
229 +/- 13
AMD Ryzen 9 7950X3D 16-Core
50th
13
229 +/- 15
AMD Ryzen AI 9 365
48th
7
224
AMD Ryzen 7 7700 8-Core
47th
12
223 +/- 12
AMD Ryzen AI 9 HX 370
47th
14
223 +/- 14
Intel Core i9-10980XE
47th
6
223
AMD Ryzen 7 7700X 8-Core
47th
12
222 +/- 13
AMD Ryzen 9 7900 12-Core
47th
15
222 +/- 16
Intel Core i5-14400F
46th
5
221
AMD Ryzen 9 7900X 12-Core
46th
20
221 +/- 14
AMD Ryzen 5 7600 6-Core
44th
6
218 +/- 11
Intel Core i3-14100
43rd
8
217 +/- 6
AMD Ryzen 5 7600X 6-Core
33rd
12
206 +/- 16
AMD Ryzen 7 PRO 7840U
32nd
6
201 +/- 8
Intel Core Ultra 7 155H
29th
6
180 +/- 13
AMD Ryzen 7 7840HS
27th
3
177
AMD Ryzen 7 7840U
27th
16
168 +/- 7
Intel Core i5-12600K
26th
4
167 +/- 1
Low-Tier
25th
< 164
AMD Ryzen 7 PRO 6850U
20th
10
140 +/- 4
Intel Core i7-1185G7
19th
9
138
AMD Ryzen 5 5500
18th
6
136 +/- 2
AMD Ryzen 5 5600X 6-Core
18th
5
136 +/- 5
Intel Core i7-1165G7
16th
12
135 +/- 2
AMD Ryzen 7 5800X 8-Core
15th
8
130 +/- 9
AMD Ryzen 7 5800X3D 8-Core
15th
11
129 +/- 11
AMD Ryzen 9 5950X 16-Core
15th
9
129 +/- 19
Intel Core Ultra 7 256V
15th
3
129
AMD Ryzen 9 5900X 12-Core
14th
7
127 +/- 11
AMD Ryzen 9 3900XT 12-Core
11th
4
113
Intel Xeon E-2388G
9th
10
110
Intel Xeon E-2336
9th
7
110
AMD Ryzen 5 5500U
7th
6
104
AMD Ryzen 7 PRO 5850U
6th
9
97 +/- 3
Intel Core i7-8565U
5th
4
91
AMD Ryzen 7 4700U
5th
5
91
AMD Ryzen 5 4500U
4th
4
90
Intel Core i7-1065G7
3rd
6
88 +/- 2
AMD Ryzen 9 5900HX
2nd
5
77
OpenBenchmarking.orgDistribution Of Public Results - M N K: 64666 Results Range From 18 To 6342 GFLOPS/s18145272399526653780907103411611288141515421669179619232050217723042431255826852812293930663193332034473574370138283955408242094336446345904717484449715098522553525479560657335860598761146241636870140210280350

Based on OpenBenchmarking.org data, the selected test / test configuration (libxsmm 2-1.17-3645 - M N K: 64) 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 BenchmarkM N K: 64Run-Time3691215Min: 1 / Avg: 2.81 / Max: 9

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.3%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsM N K: 64Deviation246810Min: 0 / Avg: 0.3 / Max: 5

Does It Scale Well With Increasing Cores?

Yes, based on the automated analysis of the collected public benchmark data, this test / test settings does 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 Baselibxsmm CPU Core ScalingM N K: 64468101214163212848121620

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)
ARMv8 64-bit
aarch64
ARMv8 Cortex-A76 4-Core, ARMv8 Neoverse-N1, ARMv8 Neoverse-V1

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