LiteRT

This is a benchmark of LiteRT (formerly known as TensorFlow Lite) focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This LiteRT benchmark test profile is measuring the average inference time.

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

Project Site

ai.google.dev

Source Repository

github.com

Test Created

15 October 2024

Test Maintainer

Michael Larabel 

Test Type

System

Average Install Time

7 Seconds

Average Run Time

3 Minutes, 10 Seconds

Supported Platforms


Mobilenet Quant12.3%Quantized COCO SSD MobileNet v112.3%Inception ResNet V212.3%Inception V412.5%SqueezeNet12.5%Mobilenet Float13.1%NASNet Mobile12.4%DeepLab V312.5%Model Option PopularityOpenBenchmarking.org

Revision History

pts/litert-1.0.0   [View Source]   Tue, 15 Oct 2024 16:03:11 GMT
Initial commit of LiteRT now that TensorFlow Lite rebranded, fork from pts/tensorflow-lite test profile.


Performance Metrics

Analyze Test Configuration:

LiteRT 2024-10-15

Model: Mobilenet Float

OpenBenchmarking.org metrics for this test profile configuration based on 145 public results since 15 October 2024 with the latest data as of 21 November 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
Microseconds (Average)
87th
15
873 +/- 22
80th
4
989 +/- 4
Mid-Tier
75th
> 1081
71st
3
1331 +/- 15
68th
3
1547 +/- 68
61st
3
1820 +/- 10
Median
50th
2171
49th
5
2184 +/- 20
45th
4
2264 +/- 4
43rd
3
2286 +/- 124
41st
4
3050 +/- 146
37th
4
3242 +/- 30
35th
3
3295 +/- 104
34th
4
3381 +/- 28
30th
4
3707 +/- 58
27th
3
3819 +/- 83
26th
4
3887 +/- 115
Low-Tier
25th
> 3895
20th
5
4420 +/- 22
12th
3
8182 +/- 434
OpenBenchmarking.orgDistribution Of Public Results - Model: Mobilenet Float143 Results Range From 582 To 75230 Microseconds58220753568506165548047954011033125261401915512170051849819991214842297724470259632745628949304423193533428349213641437907394004089342386438794537246865483584985151344528375433055823573165880960302617956328864781662746776769260707537224673739752321530456075

Based on OpenBenchmarking.org data, the selected test / test configuration (LiteRT 2024-10-15 - Model: Mobilenet Float) has an average run-time of 5 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: Mobilenet FloatRun-Time48121620Min: 3 / Avg: 4.98 / Max: 13

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.4%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsModel: Mobilenet FloatDeviation3691215Min: 0 / Avg: 0.4 / Max: 7

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 Neoverse-N1 128-Core, ARMv8 Neoverse-V2, ARMv8 Neoverse-V2 72-Core

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Most Popular Test Results

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