oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative.

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

Project Site

github.com

Test Created

17 June 2020

Last Updated

20 December 2020

Test Maintainer

Michael Larabel

Test Type

Processor

Average Install Time

9 Minutes, 3 Seconds

Average Run Time

2 Minutes, 2 Seconds

Accolades

5k+ Downloads

Supported Platforms


Public Result UploadsReported Installs*Test Completions*OpenBenchmarking.orgEventsoneDNN Popularity Statisticspts/onednn2020.062020.072020.082020.092020.102020.112020.122021.014K8K12K16K20K
* 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, 18 Jan 2021 15:01:31 GMT.
Deconvolution Batch shapes_3d11.4%Recurrent Neural Network Training15.9%IP Shapes 1D11.5%Convolution Batch Shapes Auto11.5%Matrix Multiply Batch Shapes Transformer11.3%Recurrent Neural Network Inference15.7%IP Shapes 3D11.5%Deconvolution Batch shapes_1d11.4%Harness Option PopularityOpenBenchmarking.org
bf16bf16bf1614.1%u8s8f3240.0%f3245.9%Data Type Option PopularityOpenBenchmarking.org

Revision History

pts/onednn-1.6.1   [View Source]   Sun, 20 Dec 2020 09:58:16 GMT
This test profile builds and works fine on macOS so enable it (MacOSX).

pts/onednn-1.6.0   [View Source]   Wed, 09 Dec 2020 13:47:31 GMT
Update against oneDNN 2.0 upstream.

pts/onednn-1.5.0   [View Source]   Wed, 17 Jun 2020 16:26:39 GMT
Initial commit of oneDNN test profile based on Intel oneDNN 1.5, forked from existing mkl-dnn test profile that is named from MKL-DNN before it was renamed to DNNL and then oneDNN. So create new test profile to match Intel naming convention.

Suites Using This Test

Multi-Core

Machine Learning

Intel oneAPI

CPU Massive

Server CPU Tests

Creator Workloads

HPC - High Performance Computing


Performance Metrics

Analyze Test Configuration:

oneDNN 1.5

Harness: IP Batch 1D - Data Type: f32 - Engine: CPU

OpenBenchmarking.org metrics for this test profile configuration based on 608 public results since 17 June 2020 with the latest data as of 8 December 2020.

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
ms (Average)
84th
10
1.7 +/- 0.1
80th
17
1.8 +/- 0.5
78th
6
1.9 +/- 0.3
Mid-Tier
75th
> 2.0
65th
19
2.3 +/- 0.2
61st
10
2.5 +/- 0.1
55th
3
3.2 +/- 0.1
52nd
6
3.4 +/- 1.0
51st
16
3.4 +/- 0.4
Median
50th
3.5
50th
11
3.6 +/- 0.3
42nd
8
4.3 +/- 0.1
41st
13
4.3 +/- 0.1
39th
7
4.4 +/- 0.2
29th
4
5.6 +/- 0.2
29th
4
5.8 +/- 0.3
27th
9
6.2 +/- 0.1
Low-Tier
25th
> 6.3
19th
3
8.2 +/- 0.1
19th
6
8.2 +/- 0.6
19th
4
8.3 +/- 0.5
18th
3
8.3 +/- 0.1
18th
4
8.4 +/- 0.2
13th
5
9.7 +/- 1.0
12th
3
10.3 +/- 0.1
10th
4
10.6 +/- 0.2
10th
3
10.9 +/- 0.3
9th
4
11.0 +/- 2.8
9th
6
11.2 +/- 1.7
6th
3
14.9 +/- 0.3
3rd
3
23.0 +/- 0.3
3rd
3
23.0 +/- 0.2
2nd
3
40.5 +/- 0.4
OpenBenchmarking.orgDistribution Of Public Results - Harness: IP Batch 1D - Data Type: f32 - Engine: CPU608 Results Range From 0 To 246 ms0163248648096112128144160176192208224240256120240360480600

Based on OpenBenchmarking.org data, the selected test / test configuration (oneDNN 1.5 - Harness: IP Batch 1D - Data Type: f32 - Engine: CPU) 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 BenchmarkHarness: IP Batch 1D - Data Type: f32 - Engine: CPURun-Time246810Min: 1 / Avg: 1.64 / Max: 4

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 1.9%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsHarness: IP Batch 1D - Data Type: f32 - Engine: CPUDeviation510152025Min: 0 / Avg: 1.88 / Max: 23

Recent Test Results

OpenBenchmarking.org Results Compare

1 System - 189 Benchmark Results

Intel Core i7-4790K - ASRock Z97 Pro4 - Intel 4th Gen Core DRAM

Arch rolling - 5.9.10-arch1-1 - Xfce 4.14

1 System - 41 Benchmark Results

Intel Core i7-6700 - ASUS Z170I PRO GAMING - Intel Xeon E3-1200 v5

Fedora 33 - 5.8.16-300.fc33.x86_64 - Cinnamon 4.6.7

3 Systems - 218 Benchmark Results

AMD Ryzen 9 5900X 12-Core - ASUS ROG CROSSHAIR VIII HERO - AMD Starship

Ubuntu 20.10 - 5.8.0-29-generic - GNOME Shell 3.38.1

3 Systems - 178 Benchmark Results

AMD Ryzen 3 3100 4-Core - ASUS ROG CROSSHAIR VIII HERO - AMD Starship

Ubuntu 20.10 - 5.8.0-29-generic - GNOME Shell 3.38.1

3 Systems - 178 Benchmark Results

AMD Ryzen 3 3100 4-Core - ASUS ROG CROSSHAIR VIII HERO - AMD Starship

Ubuntu 20.10 - 5.8.0-29-generic - GNOME Shell 3.38.1

1 System - 73 Benchmark Results

Intel Core i7-4700HQ - ASUS G750JX v1.0 - Intel Xeon E3-1200 v3

Arch rolling - 5.9.8-arch1-1 - X Server 1.20.9

1 System - 214 Benchmark Results

Intel Xeon Platinum 8275CL - Amazon EC2 c5.2xlarge - Intel 440FX 82441FX PMC

Ubuntu 20.04 - 5.4.0-1029-aws - GCC 9.3.0

12 Systems - 383 Benchmark Results

AMD Ryzen 9 5900X 12-Core - Gigabyte B550I AORUS PRO AX - AMD Starship

Ubuntu 20.04 - 5.4.0-53-generic - GNOME Shell 3.36.4

12 Systems - 224 Benchmark Results

AMD Ryzen 5 2600 Six-Core - ASUS ROG CROSSHAIR VIII HERO - AMD 17h

Ubuntu 20.04 - 5.9.0-050900-generic - GNOME Shell 3.36.4

19 Systems - 176 Benchmark Results

AMD EPYC 7502P 32-Core - ASRockRack EPYCD8 - AMD Starship

Ubuntu 20.10 - 5.8.0-21-generic - GNOME Shell 3.38.0

1 System - 201 Benchmark Results

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

Ubuntu 20.10 - 5.8.0-21-generic - GNOME Shell 3.38.0

7 Systems - 349 Benchmark Results

AMD Ryzen 5 5600X 6-Core - ASRock X570 Pro4 - AMD Starship

Ubuntu 20.10 - 5.8.0-26-generic - GNOME Shell 3.38.1

Most Popular Test Results

OpenBenchmarking.org Results Compare

3 Systems - 268 Benchmark Results

Intel Core i5-2520M - HP 161C - Intel 2nd Generation Core DRAM

Ubuntu 18.04 - 4.18.0-20-generic - GNOME Shell 3.28.3

11 Systems - 217 Benchmark Results

AMD Ryzen 9 3900X 12-Core - ASUS ROG CROSSHAIR VIII HERO - AMD Starship

Ubuntu 20.04 - 5.9.0-050900-generic - GNOME Shell 3.36.4

6 Systems - 136 Benchmark Results

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

EndeavourOS rolling - 5.7.10-arch1-1 - Xfce 4.14

2 Systems - 403 Benchmark Results

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

Ubuntu 20.10 - 5.8.0-22-generic - GNOME Shell 3.38.0

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

3 Systems - 202 Benchmark Results

Intel Core i7-7700K - MSI Z270-A PRO - Intel Xeon E3-1200 v6

Ubuntu 20.04 - 5.4.0-28-generic - GNOME Shell 3.36.1

3 Systems - 173 Benchmark Results

AMD Ryzen Threadripper 3970X 32-Core - ASUS ROG ZENITH II EXTREME - AMD Starship

Ubuntu 20.04 - 5.4.0-37-generic - GNOME Shell 3.36.2

12 Systems - 229 Benchmark Results

AMD Ryzen 5 2600X Six-Core - ASUS ROG CROSSHAIR VIII HERO - AMD 17h

Ubuntu 20.04 - 5.9.0-050900-generic - GNOME Shell 3.36.4

6 Systems - 733 Benchmark Results

AMD Ryzen 9 3900X 12-Core - ASUS TUF GAMING X570-PLUS - AMD Starship

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

Find More Test Results

OpenBenchmarking.org Community User Comments

Post A Comment