Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba.

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

18 June 2021

Test Maintainer

Michael Larabel 

Test Type

System

Average Install Time

1 Minute, 32 Seconds

Average Run Time

8 Minutes, 24 Seconds

Test Dependencies

CMake + C/C++ Compiler Toolchain

Accolades

10k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsMobile Neural Network Popularity Statisticspts/mnn2020.092020.102020.112020.122021.012021.022021.032021.042021.052021.062021.072021.082021.098001600240032004000
* 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 21 September 2021.
MobileNetV2_22414.3%inception-v314.2%mobilenet-v1-1.014.3%SqueezeNetV1.014.1%mobilenetV314.4%squeezenetv1.114.4%resnet-v2-5014.4%Model Option PopularityOpenBenchmarking.org

Revision History

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 1.2

Model: mobilenetV3

OpenBenchmarking.org metrics for this test profile configuration based on 220 public results since 18 June 2021 with the latest data as of 23 September 2021.

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)
99th
9
1.051 +/- 0.024
96th
3
1.071 +/- 0.003
93rd
5
1.230 +/- 0.065
91st
3
1.409 +/- 0.029
91st
3
1.542 +/- 0.021
89th
3
1.622 +/- 0.019
86th
3
1.732 +/- 0.007
86th
3
1.733 +/- 0.007
84th
3
1.959 +/- 0.051
81st
5
2.050 +/- 0.116
81st
4
2.055 +/- 0.065
81st
6
2.097 +/- 0.069
Mid-Tier
75th
> 2.155
72nd
4
2.255 +/- 0.095
71st
3
2.269 +/- 0.001
69th
3
2.297 +/- 0.028
66th
3
2.335 +/- 0.006
63rd
3
2.368 +/- 0.038
62nd
8
2.376 +/- 0.069
62nd
6
2.388 +/- 0.032
54th
3
2.476 +/- 0.006
54th
4
2.479 +/- 0.023
51st
7
2.498 +/- 0.037
Median
50th
2.518
47th
16
2.612 +/- 0.194
46th
3
2.627 +/- 0.004
44th
3
2.699 +/- 0.012
44th
3
2.705 +/- 0.025
39th
3
2.818 +/- 0.015
38th
3
2.825 +/- 0.008
36th
3
2.853 +/- 0.011
35th
3
2.859 +/- 0.003
30th
4
2.919 +/- 0.096
Low-Tier
25th
> 3.036
25th
11
3.038 +/- 0.160
24th
3
3.059 +/- 0.026
24th
5
3.072 +/- 0.154
22nd
3
3.122 +/- 0.013
18th
3
3.342 +/- 0.406
16th
3
3.554 +/- 0.012
15th
3
3.641 +/- 0.157
14th
3
3.844 +/- 0.051
12th
3
3.974 +/- 0.143
11th
3
4.133 +/- 0.010
8th
3
4.300 +/- 0.051
6th
4
4.427 +/- 0.188
4th
4
5.333 +/- 0.040
2nd
3
5.672 +/- 0.202
OpenBenchmarking.orgDistribution Of Public Results - Model: mobilenetV3212 Results Range From 0 To 10 ms00.8331.6662.4993.3324.1654.9985.8316.6647.4978.339.1639.99620406080100

Based on OpenBenchmarking.org data, the selected test / test configuration (Mobile Neural Network 1.2 - Model: mobilenetV3) has an average run-time of 9 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: mobilenetV3Run-Time816243240Min: 1 / Avg: 8.79 / Max: 39

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 1%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsModel: mobilenetV3Deviation3691215Min: 0 / Avg: 1.05 / Max: 9

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 BaseMobile Neural Network CPU Core ScalingModel: mobilenetV3468320.38960.77921.16881.55841.948

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

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

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

 
VFNMADD132PS VFMADD132PS VFMADD231PS VFMADD231SS VFMADD213PS VFMADD132SS VFNMADD231SS VFMADD231SD VFMSUB132SS VFNMADD132SS VFMSUB231SS VFMSUB132SD VFMSUB231SD VFMADD213SS VFMADD132SD VFNMADD213PS VFNMADD213SS VFNMADD132SD VFNMADD231PS VFMSUB132PS VFMSUB231PS
The test / benchmark does honor compiler flag changes.
Last automated analysis: 10 May 2021

This test profile binary relies on the shared libraries libMNN.so, libpthread.so.0, libc.so.6, libm.so.6, libmvec.so.1.

Recent Test Results

OpenBenchmarking.org Results Compare

4 Systems - 146 Benchmark Results

Intel Core i5-7600K - Gigabyte Z270M-D3H-CF - Intel Xeon E3-1200 v6

Ubuntu 20.04 - 5.9.0-050900rc7daily20200928-generic - GNOME Shell 3.36.4

4 Systems - 113 Benchmark Results

Intel Core i7-4770K - Gigabyte Z97-HD3 - Intel 4th Gen Core DRAM

Ubuntu 20.10 - 5.8.0-55-generic - GNOME Shell 3.38.3

4 Systems - 145 Benchmark Results

Intel Xeon E3-1270 v5 - ASUS E3 PRO GAMING V5 - Intel Xeon E3-1200 v5

Ubuntu 20.10 - 5.8.0-53-generic - GNOME Shell 3.38.1

3 Systems - 192 Benchmark Results

2 x Intel Xeon Gold 5220R - TYAN S7106 - Intel Sky Lake-E DMI3 Registers

Ubuntu 20.04 - 5.9.0-050900rc6-generic - GNOME Shell 3.36.4

2 Systems - 140 Benchmark Results

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

Ubuntu 21.10 - 5.13.0-16-generic - GNOME Shell 40.2

1 System - 166 Benchmark Results

AMD Ryzen 9 5900X 12-Core - 8GB - 2 x 275GB Virtual Disk

Ubuntu 20.04 - 5.10.16.3-microsoft-standard-WSL2 - Wayland

3 Systems - 170 Benchmark Results

Intel Xeon Gold 6226R - Supermicro X11SPL-F v1.02 - Intel Sky Lake-E DMI3 Registers

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

5 Systems - 186 Benchmark Results

2 x Intel Xeon Platinum 8280 - GIGABYTE MD61-SC2-00 v01000100 - Intel Sky Lake-E DMI3 Registers

Ubuntu 21.04 - 5.11.0-16-generic - GNOME Shell 3.38.4

1 System - 216 Benchmark Results

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

Ubuntu 21.10 - 5.14.0-rc7-amd-pstate-phx - GNOME Shell 40.2

1 System - 117 Benchmark Results

Intel Core i9-11900K - ASUS ROG MAXIMUS XIII HERO - Intel Device 43ef

Ubuntu 21.04 - 5.11.0-31-generic - GNOME Shell 3.38.4

13 Systems - 56 Benchmark Results

AMD EPYC 7543 32-Core - TYAN S8036GM2NE-LE - AMD Starship

Debian 11 - 5.10.0-7-amd64 - GNOME Shell 3.38.4

3 Systems - 95 Benchmark Results

Intel Xeon E3-1235L v5 - ASRockRack C236M WS - Intel Xeon E3-1200 v5

Ubuntu 20.04 - 5.8.0-050800-generic - GNOME Shell 3.36.4

4 Systems - 56 Benchmark Results

AMD Ryzen 7 2700 Eight-Core - Gigabyte AB350N-Gaming WIFI-CF - AMD 17h

Ubuntu 19.10 - 5.9.0-050900rc7daily20201004-generic - GNOME Shell 3.34.1

Most Popular Test Results

OpenBenchmarking.org Results Compare

2 Systems - 354 Benchmark Results

AMD Ryzen Threadripper 3990X 64-Core - Gigabyte TRX40 AORUS PRO WIFI - AMD Starship

Pop 21.04 - 5.11.0-7620-generic - GNOME Shell 3.38.4

3 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

4 Systems - 78 Benchmark Results

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

Clear Linux OS 34860 - 5.12.16-1054.native - GNOME Shell 40.3

2 Systems - 75 Benchmark Results

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

Arch Linux - 5.13.4-arch1-1 - GNOME Shell 40.3

3 Systems - 34 Benchmark Results

Intel Xeon E-2288G - Compulab SBC-ATCFL v1.2 - Intel Cannon Lake PCH

Ubuntu 20.10 - 5.8.0-41-generic - GNOME Shell 3.38.2

3 Systems - 41 Benchmark Results

AMD Ryzen 5 4500U - LENOVO LNVNB161216 - AMD Renoir Root Complex

Ubuntu 21.04 - 5.11.0-17-generic - GNOME Shell 3.38.4

3 Systems - 89 Benchmark Results

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

Ubuntu 20.04 - 5.9.0-050900daily20201012-generic - GNOME Shell 3.36.4

11 Systems - 56 Benchmark Results

AMD EPYC 7543 32-Core - TYAN S8036GM2NE-LE - AMD Starship

openSUSE Leap 15.3 - 5.3.18-59.5-default - GCC 7.5.0

3 Systems - 45 Benchmark Results

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

Ubuntu 20.10 - 5.11.0-rc6-phx - GNOME Shell 3.38.1

3 Systems - 41 Benchmark Results

AMD Ryzen 5 3400G - ASUS PRIME B450M-A - AMD Raven

Ubuntu 19.10 - 5.3.0-46-generic - GNOME Shell 3.34.1

3 Systems - 100 Benchmark Results

Intel Core i7-3770K - ECS Z77H2-A2X v1.0 - Intel Xeon E3-1200 v2

Ubuntu 20.04 - 5.8.0-55-generic - GNOME Shell 3.36.9

2 Systems - 69 Benchmark Results

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

Fedora 34 - 5.12.9-300.fc34.x86_64 - GNOME Shell 40.1

2 Systems - 8 Benchmark Results

Intel Core i9-8950HK - MSI MS-17A3 - Intel Cannon Lake PCH

Ubuntu 20.04 - 5.8.0-63-generic - GNOME Shell 3.36.9

3 Systems - 26 Benchmark Results

AMD Ryzen 3 3200U - MOTILE PF4PU1F - AMD Raven

Ubuntu 20.04 - 5.8.0-53-generic - GNOME Shell 3.36.4

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