ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo.

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

Project Site

onnxruntime.ai

Test Created

16 January 2021

Last Updated

17 January 2021

Test Maintainer

Michael Larabel 

Test Type

System

Average Install Time

13 Minutes

Average Run Time

5 Minutes, 18 Seconds

Test Dependencies

Python + Git + C/C++ Compiler Toolchain

Supported Platforms


Public Result UploadsReported Installs*Test Completions*OpenBenchmarking.orgEventsONNX Runtime Popularity Statisticspts/onnx2021.012021.022021.032021.042021.055001000150020002500
* 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 Tue, 11 May 2021 00:05:58 GMT.
super-resolution-1019.5%fcn-resnet101-1121.9%bertsquad-1019.2%shufflenet-v2-1019.5%yolov419.9%Model Option PopularityOpenBenchmarking.org

Revision History

pts/onnx-1.0.1   [View Source]   Sun, 17 Jan 2021 08:51:00 GMT
Increase run time limit to help lower deviation on laptops.

pts/onnx-1.0.0   [View Source]   Sat, 16 Jan 2021 20:09:33 GMT
Initial commit of Microsoft ONNX Runtime.

Suites Using This Test

Machine Learning

HPC - High Performance Computing


Performance Metrics

Analyze Test Configuration:

ONNX Runtime 1.6

Model: fcn-resnet101-11 - Device: OpenMP CPU

OpenBenchmarking.org metrics for this test profile configuration based on 570 public results since 16 January 2021 with the latest data as of 9 May 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
# Matching Public Results
Inferences Per Minute (Average)
100th
5
144 +/- 1
97th
4
140 +/- 1
97th
3
131 +/- 1
95th
7
118 +/- 1
94th
8
116 +/- 5
Mid-Tier
75th
< 86
72nd
13
84 +/- 1
Median
50th
68
46th
3
62 +/- 1
34th
3
48 +/- 1
30th
5
43 +/- 2
28th
17
41 +/- 3
Low-Tier
25th
< 39
23rd
7
38 +/- 1
13th
4
26 +/- 1
12th
4
24 +/- 1
11th
3
22 +/- 1
7th
3
15 +/- 1
OpenBenchmarking.orgDistribution Of Public Results - Model: fcn-resnet101-11 - Device: OpenMP CPU570 Results Range From 3 To 194 Inferences Per Minute317314559738710111512914315717118519920406080100

Based on OpenBenchmarking.org data, the selected test / test configuration (ONNX Runtime 1.6 - Model: fcn-resnet101-11 - Device: OpenMP CPU) has an average run-time of 6 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: fcn-resnet101-11 - Device: OpenMP CPURun-Time510152025Min: 1 / Avg: 5.43 / Max: 21

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: fcn-resnet101-11 - Device: OpenMP CPUDeviation246810Min: 0 / Avg: 0.3 / Max: 4

Does It Scale Well With Increasing Cores?

Yes, based on the automated analysis of the collected public benchmark data, this test / test settings does 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.

AMDIntelOpenBenchmarking.orgRelative Core Scaling To BaseONNX Runtime CPU Core ScalingModel: fcn-resnet101-11 - Device: OpenMP CPU46812163248641281.00832.01663.02494.03325.0415

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.
 
MOVDQA PUNPCKLQDQ MOVDQU CVTSI2SD DIVSD MOVAPD COMISD UNPCKLPD MULSD CVTTSD2SI ADDSD SUBSD MOVUPD MOVD PUNPCKHQDQ PSUBQ PSHUFD PSRLDQ UCOMISD CVTSS2SD PADDQ ANDPD CVTSD2SS DIVPD MULPD SUBPD PMULUDQ ADDPD SQRTSD CVTPS2PD MINPD MAXPD CVTTPD2DQ CVTDQ2PD CMPLTPD PSHUFLW MAXSD MINSD XORPD MOVLPD SQRTPD CVTTPS2DQ CVTDQ2PS ANDNPD ORPD CVTPD2PS CMPLESD UNPCKHPD CMPLEPD SHUFPD MOVHPD CVTPS2DQ
Used by default on supported hardware.
Found on Intel processors since Sandy Bridge (2011).
Found on AMD processors since Bulldozer (2011).

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

 
VPBROADCASTD VPMASKMOVD VEXTRACTI128 VINSERTI128 VPERM2I128 VPERMD VPBROADCASTW VPERMQ VPBROADCASTQ VPMASKMOVQ VPBROADCASTB VPSLLVD VPSRAVD VPSRLVD VPSLLVQ VPSRLVQ VPERMPD VGATHERQPD VPGATHERDQ VPGATHERQQ
AVX Vector Neural Network Instructions (AVX-VNNI)
Used by default on supported hardware.
 
VPDPBUSDS
FMA (FMA)
Used by default on supported hardware.
Found on Intel processors since Haswell (2013).
Found on AMD processors since Bulldozer (2011).

 
VFMADD231PD VFMADD213PD VFMADD231PS VFMADD213PS VFMADD132SS VFMADD132PS VFMADD132SD VFMADD213SS VFMADD132PD VFNMADD231PD VFMADD231SS VFNMADD213PS VFNMADD132PS VFNMADD213SS VFNMADD132SS VFNMADD231PS VFNMADD132PD VFNMADD132SD VFMSUB132SS VFMSUB132SD VFMADD231SD VFMADD213SD VFNMADD213PD VFNMADD213SD VFNMADD231SS VFNMADD231SD
The test / benchmark does honor compiler flag changes.
Last automated analysis: 10 May 2021

This test profile binary relies on the shared libraries libonnxruntime.so.1.6.0, libdl.so.2, libpthread.so.0, libc.so.6, libgomp.so.1, libm.so.6.

Recent Test Results

OpenBenchmarking.org Results Compare

4 Systems - 159 Benchmark Results

AMD Ryzen 7 1700 Eight-Core - ASRock X370 Gaming X - AMD 17h

Arch rolling - 5.11.16-arch1-1 - Xfce 4.16

5 Systems - 59 Benchmark Results

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

Ubuntu 20.04 - 5.11.0-051100-generic - GNOME Shell 3.36.4

3 Systems - 158 Benchmark Results

AMD Ryzen 7 1700 Eight-Core - ASRock X370 Gaming X - AMD 17h

Arch rolling - 5.11.16-arch1-1 - Xfce 4.16

3 Systems - 147 Benchmark Results

AMD Ryzen 7 1700 Eight-Core - ASRock X370 Gaming X - AMD 17h

Arch rolling - 5.11.16-arch1-1 - Xfce 4.16

1 System - 732 Benchmark Results

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

Ubuntu 20.04 - 5.11.6-051106-generic - GNOME Shell 3.36.4

10 Systems - 454 Benchmark Results

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

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

5 Systems - 4 Benchmark Results

ARMv8 Cortex-A57 - NVIDIA Jetson Nano 2GB Developer Kit - 2048MB

Ubuntu 18.04 - 4.9.201-tegra - LXDE 0.9.3

4 Systems - 4 Benchmark Results

Intel Core i3-3217U - Intel D33217GKE - Intel 3rd Gen Core DRAM

Debian 10 - 4.19.0-16-amd64 - GCC 8.3.0

12 Systems - 453 Benchmark Results

AMD Ryzen 5 5600X 6-Core - ASUS ROG CROSSHAIR VIII HERO - AMD Starship

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

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