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/plaidml2019.012019.022019.032019.042019.052019.062019.072019.082019.092019.102019.112019.122020.012020.022020.032020.042020.052020.062020.072020.082020.092020.102020.112020.122021.012021.022021.032021.047001400210028003500
* 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 Mon, 19 Apr 2021 00:43:43 GMT.
No81.5%Yes18.5%FP16 Option PopularityOpenBenchmarking.org
Mobilenet39.5%VGG197.1%DenseNet 20118.1%ResNet 507.2%IMDB LSTM20.0%VGG168.0%Network Option PopularityOpenBenchmarking.org
OpenCL76.5%CPU23.5%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 42 public results since 10 January 2019 with the latest data as of 30 January 2019.

Additional benchmark metrics will come after OpenBenchmarking.org has collected a sufficient data-set.

OpenBenchmarking.orgDistribution Of Public Results - FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL42 Results Range From 270 To 1336 Examples Per Second27030333636940243546850153456760063366669973276579883186489793096399610291062109511281161119412271260129313261359246810

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 / Max: 1

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: 0.22 / Max: 2

Recent Test Results

OpenBenchmarking.org Results Compare

3 Systems - 31 Benchmark Results

AMD Ryzen Threadripper 2990WX 32-Core - ASUS ROG ZENITH EXTREME - AMD Family 17h

Ubuntu 18.04 - 4.15.0-43-generic - GNOME Shell 3.28.3

18 Systems - 34 Benchmark Results

Intel Core i9-9900K - ASUS PRIME Z390-A - Intel Cannon Lake PCH Shared SRAM

Ubuntu 18.10 - 4.20.3-042003-generic - GNOME Shell 3.30.1

12 Systems - 121 Benchmark Results

Intel Core i9-9900K - ASUS PRIME Z390-A - Intel Cannon Lake PCH Shared SRAM

Ubuntu 18.10 - 4.20.3-042003-generic - GNOME Shell 3.30.1

11 Systems - 121 Benchmark Results

Intel Core i9-9900K - ASUS PRIME Z390-A - Intel Cannon Lake PCH Shared SRAM

Ubuntu 18.10 - 4.20.3-042003-generic - GNOME Shell 3.30.1

1 System - 18 Benchmark Results

Intel Core i9-9900K - ASUS PRIME Z390-A - Intel Cannon Lake PCH Shared SRAM

Ubuntu 18.10 - 5.0.0-050000rc4-generic - GNOME Shell 3.30.1

15 Systems - 128 Benchmark Results

Intel Core i9-9900K - ASUS PRIME Z390-A - Intel Cannon Lake PCH Shared SRAM

Ubuntu 18.10 - 4.20.3-042003-generic - GNOME Shell 3.30.1

1 System - 23 Benchmark Results

Intel Core i9-9900K - ASUS PRIME Z390-A - Intel Cannon Lake PCH Shared SRAM

Ubuntu 18.10 - 4.20.3-042003-generic - GNOME Shell 3.30.1

1 System - 34 Benchmark Results

AMD Ryzen Threadripper 2950X 16-Core - MSI MEG X399 CREATION - AMD Family 17h

Ubuntu 18.10 - 4.18.0-13-generic - GNOME Shell 3.30.1

1 System - 16 Benchmark Results

Intel Core i9-9900K - ASUS PRIME Z390-A - Intel Cannon Lake PCH Shared SRAM

Ubuntu 18.04 - 4.20.0-042000-generic - Xfce 4.12

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