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

16 Seconds

Average Run Time

8 Minutes, 22 Seconds

Test Dependencies

Python + OpenCL

Accolades

30k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsPlaidML Popularity Statisticspts/plaidml2019.012019.032019.052019.072019.092019.112020.012020.032020.052020.072020.092020.112021.012021.032021.052021.072021.092021.112022.012022.032022.052022.072022.092022.112023.012023.032023.052023.072023.092023.112K4K6K8K10K
* 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 29 November 2023.
No90.0%Yes10.0%FP16 Option PopularityOpenBenchmarking.org
Training5.3%Inference94.7%Mode Option PopularityOpenBenchmarking.org
Mobilenet20.6%VGG1917.9%Inception V38.0%DenseNet 2017.7%ResNet 5016.8%IMDB LSTM10.8%VGG1618.3%Network Option PopularityOpenBenchmarking.org
OpenCL45.6%CPU54.4%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

HPC - High Performance Computing

CPU Massive

NVIDIA GPU Compute


Performance Metrics

Analyze Test Configuration:

PlaidML

FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU

OpenBenchmarking.org metrics for this test profile configuration based on 14 public results since 10 January 2019 with the latest data as of 31 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: ResNet 50 - Device: CPU14 Results Range From 4 To 16 Examples Per Second45678910111213141516246810

Based on OpenBenchmarking.org data, the selected test / test configuration (PlaidML - FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU) has an average run-time of 10 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: ResNet 50 - Device: CPURun-Time612182430Min: 5 / Avg: 9.86 / Max: 25

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.1%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUDeviation246810Min: 0 / Avg: 0.08 / Max: 1

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)

Recent Test Results

OpenBenchmarking.org Results Compare

7 Systems - 263 Benchmark Results

Intel Core i9-13900K - ASUS TUF GAMING Z790-PRO WIFI - Intel Device 7a27

Nobara Linux 38 - 6.5.5-202.fsync.fc38.x86_64 - GNOME Shell 44.2

5 Systems - 329 Benchmark Results

Intel Core i5-13600K - ASUS ROG STRIX B760-A GAMING WIFI D4 - Intel Device 7a27

ManjaroLinux 22.0.4 - 6.1.12-1-MANJARO - KDE Plasma 5.26.5

5 Systems - 359 Benchmark Results

Intel Core i5-13600K - ASUS ROG STRIX B760-F GAMING WIFI - Intel Device 7a27

ManjaroLinux 22.0.4 - 6.1.12-1-MANJARO - KDE Plasma 5.26.5

4 Systems - 354 Benchmark Results

Intel Core i9-14900K - ASUS ROG STRIX Z790-E GAMING WIFI - Intel Device 7a27

Nobara Linux 38 - 6.5.5-201.fsync.fc38.x86_64 - GNOME Shell 44.2

1 System - 543 Benchmark Results

AMD Ryzen Threadripper PRO 5995WX 64-Cores - ASRock WRX80 Creator - AMD Starship

Ubuntu 22.04 - 6.2.0-33-generic - GNOME Shell 42.9

1 System - 195 Benchmark Results

1 System - 195 Benchmark Results

1 System - 253 Benchmark Results

AMD Ryzen 5 7600X 6-Core - ASUS TUF GAMING B650-PLUS WIFI - AMD Device 14d8

Ubuntu 22.04 - 5.19.0-50-generic - GNOME Shell 42.9

1 System - 197 Benchmark Results

ARMv8 Cortex-A78E - EDK II 3.1-32827747 - 8GB

Ubuntu 20.04 - 5.10.104-tegra - GNOME Shell 3.36.9

1 System - 229 Benchmark Results

AMD Ryzen 7 5800X 8-Core - ASRock X570 Phantom Gaming-ITX/TB3 - AMD Starship

Ubuntu 22.04 - 5.19.0-45-generic - GNOME Shell 42.5

1 System - 189 Benchmark Results

AMD Ryzen 7 7800X3D 8-Core - ASUS ROG STRIX X670E-I GAMING WIFI - AMD Device 14d8

Ubuntu 22.04 - 5.19.0-46-generic - GNOME Shell 42.5

1 System - 253 Benchmark Results

Intel Core i7-12700H - Intel NUC12SNKi72 - Intel Alder Lake PCH

Ubuntu 22.04 - 5.19.0-42-generic - GNOME Shell 42.5

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