Table 3.
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.