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Table 3 Mobile-device model run-time benchmarks.

From: A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment

 

Processor type

Mobile phone

GPU mean ± standard deviation

CPU w/ XNNPACK library (4 threads)

CPU (4 threads)

Pixel 3

0.9 ± 0.1 s

2.1 ± 1.0 s

13.2 ± 2.9 s

Pixel 4

0.2 ± 0.1 s

1.5 ± 0.8 s

9.8 ± 2.5 s

Samsung Galaxy S10

0.5 ± 0.1 s

1.7 ± 1.1 s

10.3 ± 2.3 s

Xiaomi Mi 9

1.0 ± 0.2 s

1.8 ± 1.3 s

13.7 ± 3.4 s

  1. Time to model inference results (mean and standard deviation in seconds) measured from the end of a 10-s-long blind-sweep video. Both gestational age and fetal malpresentation models run simultaneously on the same video sequence and image preprocessing operations are included. Near real-time inference is achievable on smartphones with graphics processing units or compute libraries optimized for neural network operations. This enables a simple and fast examination procedure in clinical environments.
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