oneDNN Benchmark - OpenBenchmarking.org

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 Intel oneAPI toolkit.

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

* 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 19 October 2024.

Revision History

pts/onednn-3.6.0 [View Source] Tue, 15 Oct 2024 14:53:25 GMT
Update against oneDNN 3.6 upstream.

pts/onednn-3.4.0 [View Source] Fri, 01 Mar 2024 13:02:43 GMT
Update against oneDNN 3.4 upstream.

pts/onednn-3.3.0 [View Source] Thu, 12 Oct 2023 11:14:07 GMT
Update against oneDNN 3.3 upstream.

pts/onednn-3.1.0 [View Source] Fri, 31 Mar 2023 18:14:37 GMT
Update against oneDNN 3.1 upstream.

pts/onednn-3.0.0 [View Source] Mon, 19 Dec 2022 21:07:39 GMT
Update against oneDNN 3.0 upstream.

pts/onednn-2.7.0 [View Source] Wed, 28 Sep 2022 13:00:44 GMT
Update against oneDNN 2.7 upstream.

pts/onednn-1.8.0 [View Source] Tue, 29 Mar 2022 19:55:25 GMT
Update against oneDNN 2.6 upstream.

pts/onednn-1.7.0 [View Source] Sat, 13 Mar 2021 07:49:33 GMT
Update against oneDNN 2.1.2 upstream.

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.

Performance Metrics

oneDNN 3.6

Harness: Deconvolution Batch shapes_1d - Engine: CPU

OpenBenchmarking.org metrics for this test profile configuration based on 55 public results since 15 October 2024 with the latest data as of 17 October 2024.

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

ms (Average)

AMD Ryzen 9 9950X 16-Core

95th

1.8

Intel Core i9-10980XE

90th

3.3

AMD Ryzen AI 9 HX 370

84th

5.2

AMD Ryzen AI 9 365

77th

5.4

Mid-Tier

75th

> 5.4

AMD Ryzen Threadripper 7980X 64-Cores

70th

7.5

Intel Core Ultra 7 256V

66th

7.5

AMD Ryzen Threadripper 3970X 32-Core

57th

8.8 ^{+/- 0.1}

Median

50th

9.1

Intel Core Ultra 7 155H

50th

9.3 ^{+/- 0.3}

Intel Core i5-12600K

42nd

14.0 ^{+/- 0.1}

2 x AMD EPYC 9575F 64-Core

31st

16.3 ^{+/- 1.2}

AMD Ryzen Threadripper 3990X 64-Core

26th

20.7 ^{+/- 0.1}

Low-Tier

25th

> 20.7

ARMv8 Neoverse-N1 128-Core

19th

23.4

2 x AMD EPYC 9755 128-Core

10th

25.0 ^{+/- 1.1}

ARMv8 Neoverse-V2 72-Core

4th

63.8 ^{+/- 0.8}

Based on OpenBenchmarking.org data, the selected test / test configuration (oneDNN 3.6 - Harness: Deconvolution Batch shapes_1d - 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.

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

Notable Instruction Set Usage

Notable instruction set extensions supported by this test, based on an automatic analysis by the Phoronix Test Suite / OpenBenchmarking.org analytics engine.

Instruction Set

Support

Instructions Detected

Advanced Vector Extensions (AVX)

Used by default on supported hardware.
Found on Intel processors since Sandy Bridge (2011).
Found on AMD processors since Bulldozer (2011).

VZEROUPPER VBROADCASTSS VINSERTF128 VPERMILPS VBROADCASTSD VEXTRACTF128 VPERMILPD VPERM2F128 VMASKMOVPS

Advanced Vector Extensions 2 (AVX2)

Used by default on supported hardware.
Found on Intel processors since Haswell (2013).
Found on AMD processors since Excavator (2016).

VPBROADCASTQ VINSERTI128 VPBROADCASTD VPBLENDD VPSLLVD VEXTRACTI128 VPSRAVD VPERM2I128 VPGATHERQQ VGATHERQPS VPERMQ VPBROADCASTW VPSRLVQ VPBROADCASTB VPGATHERDQ VPGATHERQD VPSLLVQ VPMASKMOVQ VPERMD

FMA (FMA)

Used by default on supported hardware.
Found on Intel processors since Haswell (2013).
Found on AMD processors since Bulldozer (2011).

VFMADD231SS VFMADD213SS VFMADD132SS VFMADD132SD VFMADD132PS VFMADD231PS VFMADD213PS VFNMADD132PS VFNMSUB231PS VFNMSUB132SS VFNMADD132SS VFNMSUB231SS VFNMADD231PS VFNMADD231SS VFNMADD213SS VFMADD231SD VFMSUB132SS VFMADD132PD VFMADD231PD VFMADD213PD VFMSUB231SS VFMSUB231SD

Advanced Vector Extensions 512 (AVX512)

Requires passing a supported compiler/build flag (verified with targets: cascadelake, sapphirerapids).

(ZMM REGISTER USE)

The test / benchmark does honor compiler flag changes.

Last automated analysis: 16 October 2024

This test profile binary relies on the shared libraries libdnnl.so.3, libm.so.6, libgomp.so.1, libc.so.6.

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.

dnn 2 Systems - 24 Benchmark Results	AMD Ryzen AI 9 HX 370 - ASUS Zenbook S 16 UM5606WA_UM5606WA UM5606WA v1.0 - AMD Device 1507 Ubuntu 24.10 - 6.11.0-rc6-phx - GNOME Shell 47.0
dddd 3 Systems - 24 Benchmark Results	AMD Ryzen AI 9 365 - ASUS Zenbook S 16 UM5606WA_UM5606WA UM5606WA v1.0 - AMD Device 1507 Ubuntu 24.10 - 6.11.0-rc6-phx - GNOME Shell 47.0
ddddddd 3 Systems - 55 Benchmark Results	Intel Core i9-10980XE - ASRock X299 Steel Legend - Intel Sky Lake-E DMI3 Registers Ubuntu 22.04 - 6.8.0-40-generic - GNOME Shell 42.9
litert-onednn-xnnpack 3 Systems - 24 Benchmark Results	2 x AMD EPYC 9575F 64-Core - AMD VOLCANO - AMD Device 153a Ubuntu 24.04 - 6.8.12-powercap-1ah-patched - GCC 13.2.0
new rn tr 4 Systems - 24 Benchmark Results	AMD Ryzen Threadripper 7980X 64-Cores - System76 Thelio Major - AMD Device 14a4 Ubuntu 24.10 - 6.11.0-8-generic - GNOME Shell 47.0
rt gh200 4 Systems - 24 Benchmark Results	ARMv8 Neoverse-V2 - Pegatron JIMBO P4352 - 1 x 480GB LPDDR5-6400MT Ubuntu 24.04 - 6.8.0-45-generic-64k - NVIDIA
new rn 4 Systems - 24 Benchmark Results	AMD Ryzen Threadripper 3970X 32-Core - ASUS ROG ZENITH II EXTREME - AMD Starship Ubuntu 22.04 - 6.8.0-45-generic - GNOME Shell 42.9
rt ml lunar lalke 4 Systems - 24 Benchmark Results	Intel Core Ultra 7 256V - ASUS Zenbook S 14 UX5406SA_UX5406SA UX5406SA v1.0 - Intel Device a87f Ubuntu 24.10 - 6.11.0-8-generic - GNOME Shell 47.0
rt up 4 Systems - 24 Benchmark Results	AMD Ryzen 9 9950X 16-Core - ASUS ROG STRIX X670E-E GAMING WIFI - AMD Device 14d8 Ubuntu 24.04 - 6.10.1-061001-generic - GNOME Shell 46.0
AMD EPYC Turin Linux Kernels 1 System - 113 Benchmark Results	2 x AMD EPYC 9755 128-Core - AMD VOLCANO - AMD Device 153a Ubuntu 24.04 - 6.8.0-45-generic - GCC 13.2.0 + Clang 18.1.3
onednn 3.6 tr 3 Systems - 7 Benchmark Results	AMD Ryzen Threadripper 3990X 64-Core - Gigabyte TRX40 AORUS PRO WIFI - AMD Starship Pop 22.04 - 6.8.0-76060800daily20240311-generic - GNOME Shell 42.5
2024-10-08-0736 1 System - 461 Benchmark Results	AMD Ryzen 7 5800X 8-Core - GIGABYTE MC12-LE0-00 v01000100 - AMD Starship Ubuntu 24.04 - 6.11.0-061100-generic - GNOME Shell 46.0
kubuntu-2404-nvme 1 System - 495 Benchmark Results
m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2 2 Systems - 195 Benchmark Results
m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2 2 Systems - 195 Benchmark Results

oneDNN

Project Site

Source Repository

Test Created

Last Updated

Test Maintainer

Test Type

Average Install Time

Average Run Time

Test Dependencies

Accolades

Supported Platforms

Revision History

Suites Using This Test

Performance Metrics

oneDNN 3.6

Harness: Deconvolution Batch shapes_1d - Engine: CPU

Notable Instruction Set Usage

Tested CPU Architectures

Recent Test Results

Most Popular Test Results