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. 2022 Oct 11;2:128. doi: 10.1038/s43856-022-00194-5

Table 3.

Mobile-device model run-time benchmarks.

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

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.