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

18 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/plaidml2019.012019.032019.052019.072019.092019.112020.012020.032020.052020.072020.092020.112021.012021.032021.052021.072021.092021.112022.012022.032022.052022.072022.092022.1111002200330044005500
* 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 current as of 5 December 2022.
No90.0%Yes10.0%FP16 Option PopularityOpenBenchmarking.org
Training5.3%Inference94.7%Mode Option PopularityOpenBenchmarking.org
Mobilenet20.7%VGG1917.9%Inception V38.0%DenseNet 2017.7%ResNet 5016.7%IMDB LSTM10.8%VGG1618.2%Network Option PopularityOpenBenchmarking.org
OpenCL45.7%CPU54.3%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: VGG19 - Device: CPU

OpenBenchmarking.org metrics for this test profile configuration based on 761 public results since 10 January 2019 with the latest data as of 30 September 2022.

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
FPS (Average)
97th
4
32.0 +/- 0.3
96th
6
31.5 +/- 1.3
95th
9
30.7 +/- 0.6
93rd
6
29.7 +/- 0.9
91st
3
29.1 +/- 0.1
90th
5
28.9 +/- 0.9
90th
9
28.7 +/- 0.3
89th
6
28.5 +/- 1.2
88th
3
28.0 +/- 0.2
85th
3
27.2 +/- 0.6
84th
5
27.1 +/- 0.5
84th
3
27.1 +/- 0.1
83rd
4
26.9 +/- 0.9
83rd
5
26.8 +/- 0.2
83rd
9
26.6 +/- 0.2
81st
5
26.5 +/- 0.6
79th
7
26.1 +/- 0.3
79th
13
26.1 +/- 2.5
79th
5
26.1 +/- 0.4
77th
3
25.7 +/- 1.1
Mid-Tier
75th
< 25.4
74th
17
25.3 +/- 1.1
73rd
4
25.0 +/- 0.3
72nd
8
24.7 +/- 0.6
72nd
7
24.7 +/- 0.6
72nd
5
24.6 +/- 0.9
70th
8
24.4 +/- 0.5
70th
6
24.4 +/- 0.8
68th
5
24.2 +/- 1.4
66th
5
24.0 +/- 0.1
65th
5
23.9 +/- 1.0
61st
15
23.3 +/- 1.1
61st
5
23.2 +/- 1.1
60th
12
23.1 +/- 1.4
59th
10
23.1 +/- 0.3
59th
11
23.0 +/- 0.7
58th
6
22.7 +/- 0.2
55th
3
22.4 +/- 0.2
54th
5
22.2 +/- 1.0
53rd
4
22.1 +/- 1.6
51st
11
21.3 +/- 0.5
Median
50th
20.8
49th
7
20.6 +/- 0.6
47th
3
20.3 +/- 0.4
46th
9
19.7 +/- 0.8
44th
5
19.4 +/- 2.4
44th
3
19.2 +/- 0.1
43rd
7
19.2 +/- 0.8
42nd
7
18.9 +/- 0.3
41st
8
18.6 +/- 0.4
39th
3
18.1 +/- 0.1
38th
10
17.8 +/- 0.4
37th
25
17.6 +/- 0.5
37th
10
17.6 +/- 0.4
32nd
6
16.7 +/- 1.4
31st
8
16.5 +/- 0.5
30th
8
16.1 +/- 0.5
27th
13
15.6 +/- 0.6
26th
10
15.4 +/- 0.6
26th
12
15.3 +/- 0.3
Low-Tier
25th
< 15.3
19th
7
13.0 +/- 1.2
18th
8
12.9 +/- 0.4
15th
4
12.3 +/- 0.5
13th
5
11.2 +/- 0.1
12th
5
10.8 +/- 0.2
11th
4
10.5 +/- 0.4
9th
10
9.6 +/- 0.3
9th
11
9.4 +/- 0.1
6th
4
8.3 +/- 0.1
2nd
3
1.7 +/- 0.1
OpenBenchmarking.orgDistribution Of Public Results - FP16: No - Mode: Inference - Network: VGG19 - Device: CPU761 Results Range From 0 To 53 FPS510152025303540455055604080120160200

Based on OpenBenchmarking.org data, the selected test / test configuration (PlaidML - FP16: No - Mode: Inference - Network: VGG19 - 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: VGG19 - Device: CPURun-Time816243240Min: 3 / Avg: 9.86 / Max: 38

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.8%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsFP16: No - Mode: Inference - Network: VGG19 - Device: CPUDeviation246810Min: 0 / Avg: 0.83 / Max: 4

Does It Scale Well With Increasing Cores?

No, based on the automated analysis of the collected public benchmark data, this test / test settings does not 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 BasePlaidML CPU Core ScalingFP16: No - Mode: Inference - Network: VGG19 - Device: CPU68121624324864961.41252.8254.23755.657.0625

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

1 System - 162 Benchmark Results

Intel Celeron J1800 - LENOVO Aptio CRB - 4096MB

Alpine Linux v3.17 3.17.0_rc1 - 5.15.78-0-lts - ext4

1 System - 39 Benchmark Results

Apple M1 - Apple MacBook Pro - 16GB

macOS 11.7.1 - 20.6.0 - OpenCL 1.2

1 System - 78 Benchmark Results

Intel Core i5-4250U - Apple MacBook Air - Apple SSD

macOS 10.15.7 - 19.6.0 - Clang 12.0.0 + GCC 12.0.0

1 System - 149 Benchmark Results

Apple M1 - Apple MacBook Pro - 16GB

macOS 11.7 - 20.6.0 - GCC 13.0.0 + Clang 13.0.0

1 System - 78 Benchmark Results

Intel Core i5-4250U - Apple MacBook Air - Apple SSD

macOS 10.15.7 - 19.6.0 - Clang 12.0.0 + GCC 12.0.0

1 System - 78 Benchmark Results

Apple M1 - Apple MacBook Pro - 16GB

macOS 11.7 - 20.6.0 - GCC 13.0.0 + Clang 13.0.0

1 System - 124 Benchmark Results

Intel Core i7-9700K - MSI MPG Z390 GAMING PRO CARBON AC - Intel Cannon Lake PCH

Ubuntu 20.04 - 5.4.0-131-generic - KDE Plasma 5.18.8

1 System - 147 Benchmark Results

Apple M1 - Apple Mac mini - 8GB

macOS 12.0.1 - 21.1.0 - GCC 13.0.0 + Clang 13.0.0 + Xcode 13.1

1 System - 147 Benchmark Results

Apple M1 - Apple Mac mini - 8GB

macOS 12.0.1 - 21.1.0 - GCC 13.0.0 + Clang 13.0.0 + Xcode 13.1

1 System - 186 Benchmark Results

Intel Core i7-3615QM - Apple Mac mini - Intel 7

macOS 10.15.7 - 19.6.0 - Clang 12.0.0 + GCC 12.0.0 + Xcode 12.4

1 System - 186 Benchmark Results

Apple M1 - Apple MacBook Pro - 16GB

macOS 11.7 - 20.6.0 - GCC 13.0.0 + Clang 13.0.0

4 Systems - 177 Benchmark Results

AMD Ryzen 9 5950X 16-Core - ASUS ROG CROSSHAIR VIII HERO - AMD Starship

Ubuntu 21.10 - 5.13.0-22-generic - GNOME Shell 40.5

4 Systems - 177 Benchmark Results

AMD Ryzen 9 5950X 16-Core - ASUS ROG CROSSHAIR VIII HERO - AMD Starship

Ubuntu 21.10 - 5.13.0-22-generic - GNOME Shell 40.5

4 Systems - 177 Benchmark Results

AMD Ryzen 9 7950X 16-Core - ASUS TUF GAMING X670E-PLUS WIFI - AMD Device 14d8

Ubuntu 22.04 - 5.15.0-25-generic - GNOME Shell 42.4

1 System - 64 Benchmark Results

2 x Intel Xeon Gold 6242R - Supermicro X11DPH-T v1.10 - Intel Sky Lake-E DMI3 Registers

Ubuntu 20.04 - 5.15.0-46-generic - GNOME Shell 3.36.9

Most Popular Test Results

OpenBenchmarking.org Results Compare

8 Systems - 439 Benchmark Results

AMD Ryzen 9 5950X 16-Core - ASUS ROG CROSSHAIR VIII HERO - AMD Starship

Ubuntu 21.04 - 5.12.0-051200rc3daily20210315-generic - GNOME Shell 3.38.3

3 Systems - 101 Benchmark Results

Intel Core i9-10980XE - ASRock X299 Steel Legend - Intel Sky Lake-E DMI3 Registers

Ubuntu 20.10 - 5.8.0-50-generic - GNOME Shell 3.38.1

3 Systems - 376 Benchmark Results

2 x AMD EPYC 7F72 24-Core - Supermicro H11DSi-NT v2.00 - AMD Starship

Ubuntu 20.10 - 5.11.0-051100rc4daily20210122-generic - GNOME Shell 3.38.1

2 Systems - 403 Benchmark Results

Intel Core i9-10900K - Gigabyte Z490 AORUS MASTER - Intel Comet Lake PCH

Ubuntu 20.04 - 5.4.0-48-generic - GNOME Shell 3.36.4

3 Systems - 406 Benchmark Results

AMD Ryzen 9 3900XT 12-Core - MSI MEG X570 GODLIKE - AMD Starship

Ubuntu 20.04 - 5.4.0-48-generic - GNOME Shell 3.36.4

6 Systems - 100 Benchmark Results

AMD Ryzen 9 3900XT 12-Core - MSI MEG X570 GODLIKE - AMD Starship

Ubuntu 20.04 - 5.8.0-050800daily20200622-generic - GNOME Shell 3.36.2

9 Systems - 146 Benchmark Results

Intel Core i5-12600K - ASUS ROG STRIX Z690-E GAMING WIFI - Intel Device 7aa7

Ubuntu 21.10 - 5.15.0-051500rc6daily20211023-generic - GNOME Shell 40.5

4 Systems - 78 Benchmark Results

AMD Ryzen 9 5900HX - ASUS G513QY v1.0 - AMD Renoir Root Complex

Ubuntu 21.04 - 5.13.2 - GNOME Shell 3.38.4

12 Systems - 453 Benchmark Results

Intel Core i5-11600K - ASUS ROG MAXIMUS XIII HERO - Intel Device 43ef

Ubuntu 21.04 - 5.12.0-051200rc3daily20210315-generic - GNOME Shell 3.38.3

3 Systems - 376 Benchmark Results

2 x AMD EPYC 7F72 24-Core - Supermicro H11DSi-NT v2.00 - AMD Starship

Ubuntu 20.10 - 5.11.0-rc4-max-boost-inv-patch - GNOME Shell 3.38.1

2 Systems - 75 Benchmark Results

AMD Ryzen 9 5900HX - ASUS G513QY v1.0 - AMD Renoir Root Complex

Ubuntu 21.04 - 5.13.2 - GNOME Shell 3.38.4

15 Systems - 182 Benchmark Results

Intel Core i5-11600K - ASUS ROG STRIX Z590-I GAMING WIFI - Intel Tiger Lake-H

Ubuntu 21.10 - 5.16.0-051600rc8-generic - GNOME Shell 40.5

11 Systems - 119 Benchmark Results

Intel Core i5-9400F - MSI B360M GAMING PLUS - Intel Cannon Lake PCH

Ubuntu 21.10 - 5.16.0-051600rc8-generic - GNOME Shell 40.5

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