PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks.

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

Project Site

github.com

Test Created

10 January 2019

Last Updated

26 September 2019

Test Maintainer

Michael Larabel 

Test Type

Graphics

Average Install Time

22 Seconds

Average Run Time

8 Minutes, 22 Seconds

Test Dependencies

Python + OpenCL

Accolades

20k+ Downloads

Supported Platforms


Public Result UploadsReported Installs*Test Completions*OpenBenchmarking.orgEventsPlaidML Popularity Statisticspts/plaidml2019.012019.022019.032019.042019.052019.062019.072019.082019.092019.102019.112019.122020.012020.022020.032020.042020.052020.062020.072020.082020.092020.102020.112020.122021.012021.022021.038001600240032004000
* 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 current as of Wed, 03 Mar 2021 07:16:58 GMT.
No84.9%Yes15.1%FP16 Option PopularityOpenBenchmarking.org
Training5.0%Inference95.0%Mode Option PopularityOpenBenchmarking.org
Mobilenet31.0%VGG1910.0%Inception V37.5%DenseNet 20113.0%ResNet 5010.8%IMDB LSTM15.9%VGG1611.8%Network Option PopularityOpenBenchmarking.org
OpenCL64.0%CPU36.0%Device Option PopularityOpenBenchmarking.org

Revision History

pts/plaidml-1.0.4   [View Source]   Thu, 26 Sep 2019 14:22:09 GMT
Fixes for latest upstream PlaidML working around configuration files and library issues.

pts/plaidml-1.0.3   [View Source]   Sun, 27 Jan 2019 16:21:22 GMT
Set RequiresDisplay = FALSE

pts/plaidml-1.0.2   [View Source]   Fri, 11 Jan 2019 12:06:07 GMT
Always set --user for pip3 to avoid issues on some distros.

pts/plaidml-1.0.1   [View Source]   Thu, 10 Jan 2019 14:30:27 GMT
Add --train option which works in some configurations.

pts/plaidml-1.0.0   [View Source]   Thu, 10 Jan 2019 10:51:47 GMT
Initial commit of PlaidML deep learning framework benchmark, plaidbench.

Suites Using This Test

Machine Learning

CPU Massive

HPC - High Performance Computing

NVIDIA GPU Compute


Performance Metrics

Analyze Test Configuration:

PlaidML

FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL

OpenBenchmarking.org metrics for this test profile configuration based on 716 public results since 26 September 2019 with the latest data as of 17 February 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
# Matching Public Results
FPS (Average)
78th
18
3019 +/- 64
Mid-Tier
75th
< 2994
Median
50th
1727
43rd
3
1482 +/- 7
42nd
12
1284 +/- 2
39th
9
1149 +/- 11
Low-Tier
25th
< 1120
16th
8
1042 +/- 23
12th
7
801 +/- 19
10th
11
771 +/- 15
3rd
7
242 +/- 6
OpenBenchmarking.orgDistribution Of Public Results - FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL682 Results Range From 10 To 3835 FPS108716424131839547254962670378085793410111088116512421319139614731550162717041781185819352012208921662243232023972474255126282705278228592936301330903167324433213398347535523629370637833860306090120150

Based on OpenBenchmarking.org data, the selected test / test configuration (PlaidML - FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL) 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 BenchmarkFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLRun-Time246810Min: 1 / Avg: 1.03 / Max: 3

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.2%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLDeviation246810Min: 0 / Avg: 0.17 / Max: 2

Recent Test Results

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Ubuntu 20.04 - 5.4.0-1039-azure - X Server 1.20.9

1 System - 118 Benchmark Results

Intel Xeon - Google Compute Engine n1-standard-8 - 30GB

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1 System - 120 Benchmark Results

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Most Popular Test Results

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4 Systems - 24 Benchmark Results

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