Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions.

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

Project Site

mnn.zone

Source Repository

github.com

Test Created

17 September 2020

Last Updated

31 August 2022

Test Maintainer

Michael Larabel 

Test Type

System

Average Install Time

1 Minute, 39 Seconds

Average Run Time

8 Minutes, 24 Seconds

Test Dependencies

CMake + C/C++ Compiler Toolchain

Accolades

20k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsMobile Neural Network Popularity Statisticspts/mnn2020.092020.102020.112020.122021.012021.022021.032021.042021.052021.062021.072021.082021.092021.102021.112021.122022.012022.022022.032022.042022.052022.062022.072022.082022.0916003200480064008000
* 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 24 September 2022.
mobilenet-v1-1.012.5%SqueezeNetV1.012.8%squeezenetv1.112.5%mobilenetV312.5%inception-v312.5%nasnet12.5%MobileNetV2_22412.5%resnet-v2-5012.5%Model Option PopularityOpenBenchmarking.org

Revision History

pts/mnn-2.1.0   [View Source]   Wed, 31 Aug 2022 10:53:57 GMT
Update against MNN 2.1 upstream.

pts/mnn-2.0.0   [View Source]   Sat, 13 Aug 2022 09:41:19 GMT
Update against MNN 2.0 upstream.

pts/mnn-1.3.0   [View Source]   Fri, 18 Jun 2021 06:27:34 GMT
Update against new upstream MNN 1.2.0 release.

pts/mnn-1.2.0   [View Source]   Fri, 12 Mar 2021 07:05:09 GMT
Update against upstream MNN 1.1.3.

pts/mnn-1.1.1   [View Source]   Tue, 12 Jan 2021 16:25:37 GMT
Test builds fine on macOS.

pts/mnn-1.1.0   [View Source]   Wed, 06 Jan 2021 12:46:43 GMT
Update against MNN 1.1.1 upstream.

pts/mnn-1.0.1   [View Source]   Thu, 17 Sep 2020 20:25:29 GMT
Add min/max reporting to result parser.

pts/mnn-1.0.0   [View Source]   Thu, 17 Sep 2020 18:57:32 GMT
Initial commit of Alibaba MNN deep learning framework benchmark.

Suites Using This Test

Machine Learning

HPC - High Performance Computing


Performance Metrics

Analyze Test Configuration:

Mobile Neural Network 2.1

Model: SqueezeNetV1.0

OpenBenchmarking.org metrics for this test profile configuration based on 172 public results since 31 August 2022 with the latest data as of 28 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
ms (Average)
91st
10
3.7 +/- 0.1
84th
6
3.9 +/- 0.1
80th
5
4.0 +/- 0.3
Mid-Tier
75th
> 4.2
69th
3
4.5 +/- 0.1
66th
5
4.7 +/- 0.5
64th
4
4.8 +/- 0.2
64th
4
4.9 +/- 0.3
51st
3
5.5 +/- 0.6
Median
50th
5.5
39th
4
6.3 +/- 0.1
32nd
10
6.7 +/- 0.3
31st
3
6.8 +/- 0.1
28th
3
6.8 +/- 0.2
Low-Tier
25th
> 7.0
21st
4
7.3 +/- 0.2
16th
4
8.3 +/- 0.7
12th
3
10.0 +/- 0.1
10th
4
10.5 +/- 0.2
7th
3
11.0 +/- 0.2
4th
3
23.1 +/- 0.3
2nd
4
59.4 +/- 0.5
OpenBenchmarking.orgDistribution Of Public Results - Model: SqueezeNetV1.0164 Results Range From 2 To 75 ms291623303744515865727986306090120150

Based on OpenBenchmarking.org data, the selected test / test configuration (Mobile Neural Network 2.1 - Model: SqueezeNetV1.0) has an average run-time of 14 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 BenchmarkModel: SqueezeNetV1.0Run-Time918273645Min: 5 / Avg: 13.4 / Max: 44

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.3%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsModel: SqueezeNetV1.0Deviation246810Min: 0 / Avg: 0.27 / Max: 3

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
SSE2 (SSE2)
Used by default on supported hardware.
 
CVTSS2SD MOVAPD CVTSD2SS MOVDQU PUNPCKLQDQ MOVDQA CVTSI2SD ADDSD MULSD MOVD CVTDQ2PS ANDPD COMISD CVTTSD2SI CMPNLESD SUBSD PSHUFD PMULUDQ PSRLDQ CVTTPS2DQ PADDQ CVTDQ2PD CMPLTPD ADDPD CVTPS2PD UNPCKLPD MOVUPD MAXPD UNPCKHPD MAXSD DIVSD SHUFPD ORPD XORPD PSHUFLW DIVPD CVTPD2PS ANDNPD SQRTSD CVTPS2DQ
SSE3 (SSE3)
Used by default on supported hardware.
 
MOVSLDUP MOVSHDUP HADDPS
SSSE3 (SSSE3)
Used by default on supported hardware.
 
PSHUFB PALIGNR PHADDD
Used by default on supported hardware.
Found on Intel processors since Sandy Bridge (2011).
Found on AMD processors since Bulldozer (2011).

 
VBROADCASTSS VEXTRACTF128 VZEROUPPER VZEROALL VPERM2F128 VINSERTF128 VBROADCASTF128 VPERMILPS VMASKMOVPS VBROADCASTSD
Used by default on supported hardware.
Found on Intel processors since Haswell (2013).
Found on AMD processors since Excavator (2016).

 
VINSERTI128 VPBROADCASTD VPERMQ VPBROADCASTQ VEXTRACTI128 VPERM2I128 VPBROADCASTB VGATHERQPS VPGATHERQD VPERMD VPMASKMOVD VPBROADCASTW VPGATHERQQ
FMA (FMA)
Used by default on supported hardware.
Found on Intel processors since Haswell (2013).
Found on AMD processors since Bulldozer (2011).

 
VFMADD231PS VFMADD231SS VFMADD132SS VFMADD132PS VFNMADD231SS VFMADD231SD VFMADD132SD VFMSUB132SS VFNMADD132SS VFMSUB231SS VFMSUB132SD VFMADD213SS VFMSUB231SD VFNMADD213PS VFNMADD132PS VFNMADD213SS VFMADD213PS VFNMADD132SD VFMSUB132PS VFMADD213SD VFNMADD231PS VFMSUB213PS
Advanced Vector Extensions 512 (AVX512)
Requires passing a supported compiler/build flag (verified with targets: tigerlake, cascadelake, sapphirerapids).
 
(ZMM REGISTER USE)
The test / benchmark does honor compiler flag changes.
Last automated analysis: 17 January 2022

This test profile binary relies on the shared libraries libMNN.so, libc.so.6, libm.so.6, libmvec.so.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)
ARMv8 64-bit
aarch64
ARMv8 Cortex-A72 4-Core, ARMv8 Neoverse-N1 128-Core, Apple M1, Apple M2

Recent Test Results

OpenBenchmarking.org Results Compare

1 System - 8 Benchmark Results

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Debian GNU - 5.10.126-cip11 - GCC 10.2.1 20210110

3 Systems - 78 Benchmark Results

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Ubuntu 22.10 - 6.0.0-060000rc2daily20220824-generic - GNOME Shell 42.4

4 Systems - 282 Benchmark Results

Intel Core i9-11900K - ASUS ROG MAXIMUS XIII HERO - Intel Tiger Lake-H

Ubuntu 21.10 - 5.19.0-rc2-mmio-stale-data-patched - GNOME Shell 40.5

3 Systems - 172 Benchmark Results

Intel Core i5-12400 - MSI PRO Z690-A WIFI DDR4 - Intel Device 7aa7

Ubuntu 22.04 - 5.15.0-40-generic - GNOME Shell 42.2

3 Systems - 158 Benchmark Results

Intel Core i7-8565U - Dell 0KTW76 - Intel Cannon Point-LP

Ubuntu 22.04 - 5.19.0-rc6-phx-retbleed - GNOME Shell 42.2

9 Systems - 113 Benchmark Results

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

Ubuntu 22.04 - 6.0.0-060000rc1daily20220820-generic - GNOME Shell 42.2

3 Systems - 81 Benchmark Results

AMD Ryzen 5 4500U - LENOVO LNVNB161216 - AMD Renoir

Pop 22.04 - 5.17.5-76051705-generic - GNOME Shell 42.1

3 Systems - 132 Benchmark Results

AMD Ryzen 7 5800X 8-Core - ASRock X570 Pro4 - AMD Starship

Ubuntu 22.04 - 5.18.0-051800rc2daily20220411-generic - GNOME Shell 42.0

3 Systems - 88 Benchmark Results

AMD Ryzen 7 5800X3D 8-Core - ASUS ROG CROSSHAIR VIII HERO - AMD Starship

Ubuntu 22.04 - 5.17.0-1013-oem - GNOME Shell 42.2

3 Systems - 202 Benchmark Results

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

Ubuntu 21.10 - 5.17.0-051700rc7daily20220309-generic - GNOME Shell 40.5

4 Systems - 211 Benchmark Results

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

Ubuntu 22.04 - 5.15.0-40-generic - GNOME Shell 42.2

3 Systems - 311 Benchmark Results

Intel Core i5-12600K - ASUS PRIME Z690-P WIFI D4 - Intel Device 7aa7

Ubuntu 22.04 - 5.19.0-051900rc6daily20220716-generic - GNOME Shell 42.1

3 Systems - 307 Benchmark Results

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

Ubuntu 20.04 - 5.11.0-rc1-phx - GNOME Shell 3.36.4

7 Systems - 73 Benchmark Results

AMD Ryzen 7 5700G - ASUS ROG CROSSHAIR VIII HERO - AMD Renoir

Ubuntu 22.04 - 6.0.0-060000rc1daily20220820-generic - GNOME Shell 42.2

Most Popular Test Results

OpenBenchmarking.org Results Compare

3 Systems - 34 Benchmark Results

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Ubuntu 22.04 - 5.18.8-051808-generic - GNOME Shell 42.2

3 Systems - 49 Benchmark Results

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

Ubuntu 22.04 - 5.19.0-051900rc7-generic - GNOME Shell 42.2

2 Systems - 240 Benchmark Results

2 x Intel Xeon Platinum 8380 - Intel M50CYP2SB2U - Intel Device 0998

CentOS Stream 9 - 5.14.0-148.el9.x86_64 - GNOME Shell 40.10

4 Systems - 49 Benchmark Results

2 x AMD EPYC 7713 64-Core - AMD DAYTONA_X - AMD Starship

Ubuntu 22.04 - 5.19.0-051900daily20220803-generic - GNOME Shell 42.4

3 Systems - 221 Benchmark Results

2 x Intel Xeon Platinum 8380 - Intel M50CYP2SB2U - Intel Device 0998

CentOS Stream 9 - 5.14.0-148.el9.x86_64 - GNOME Shell 40.10

5 Systems - 75 Benchmark Results

AMD Ryzen 9 3950X 16-Core - ASUS ROG CROSSHAIR VII HERO - AMD Starship

Ubuntu 22.04 - 5.19.0-051900daily20220813-generic - GNOME Shell 42.2

4 Systems - 211 Benchmark Results

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

Ubuntu 22.04 - 5.15.0-40-generic - GNOME Shell 42.2

3 Systems - 16 Benchmark Results

AMD Ryzen 3 3200U - MOTILE PF4PU1F - AMD Raven

Ubuntu 20.04 - 5.15.0-051500-generic - GNOME Shell 3.36.9

3 Systems - 62 Benchmark Results

Intel Xeon E3-1275 v6 - ASUS P10S-M WS - Intel Xeon E3-1200 v6

Ubuntu 20.04 - 5.9.0-050900rc8daily20201007-generic - X Server 1.20.8

4 Systems - 15 Benchmark Results

ARMv8 Cortex-A72 - BCM2835 Raspberry Pi 400 Rev 1.0 - Broadcom BCM2711

Debian 11 - 5.10.92-v8+ - LXDE 0.10.1

3 Systems - 41 Benchmark Results

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Ubuntu 22.04 - 5.18.8-051808-generic - GNOME Shell 42.2

7 Systems - 73 Benchmark Results

ARMv8 Neoverse-N1 - GIGABYTE MP32-AR2-00 v01000100 - Ampere Computing LLC Device e100

Ubuntu 20.04 - 5.4.0-125-generic - NVIDIA

3 Systems - 34 Benchmark Results

AMD Ryzen 7 PRO 6850U - LENOVO 21CM0001US - AMD Device 14b5

Ubuntu 22.10 - 6.0.0-060000rc2daily20220824-generic - GNOME Shell 42.4

3 Systems - 307 Benchmark Results

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Ubuntu 20.04 - 5.11.0-rc1-phx - GNOME Shell 3.36.4

4 Systems - 41 Benchmark Results

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Ubuntu 22.10 - 5.19.0-15-generic - GNOME Shell

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