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.

Source Repository

github.com

Test Created

21 June 2023

Test Maintainer

Michael Larabel 

Test Type

Processor

Average Install Time

54 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/libxsmm2023.062023.072023.082023.092023.102023.112023.122024.012024.022024.032024.042024.052024.068001600240032004000
* 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 June 2024.
3228.8%6429.6%25618.5%12823.1%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 460 public results since 21 June 2023 with the latest data as of 10 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
GFLOPS/s (Average)
100th
8
5929 +/- 524
97th
7
2894 +/- 276
83rd
11
1461 +/- 5
81st
4
1245 +/- 2
Mid-Tier
75th
< 960
60th
5
287 +/- 10
Median
50th
219
33rd
6
201 +/- 8
28th
4
167 +/- 1
27th
13
165 +/- 5
Low-Tier
25th
< 164
22nd
9
142 +/- 1
19th
4
138 +/- 1
16th
12
135 +/- 2
OpenBenchmarking.orgDistribution Of Public Results - M N K: 64460 Results Range From 18 To 6342 GFLOPS/s1814527239952665378090710341161128814151542166917961923205021772304243125582685281229393066319333203447357437013828395540824209433644634590471748444971509852255352547956065733586059876114624163684080120160200

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-Time510152025Min: 1 / Avg: 2.67 / Max: 18

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: 0.32 / Max: 6

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.

OpenBenchmarking.orgRelative Core Scaling To Baselibxsmm CPU Core ScalingM N K: 6468121632128510152025

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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