MobileFaceNet
Lightweight real‑time face verification on‑device.
MobileFaceNet is an efficient CNN that maps a 112x112 face image to a compact 128‑dimensional embedding. Two embeddings are compared via cosine similarity to determine whether they belong to the same person, achieving 99.48% accuracy on the LFW benchmark. The model uses depthwise‑separable convolutions and inverted residual blocks (MobileNetV2‑style) to stay under 1M parameters, making it well‑suited for real‑time face verification on mobile and edge devices. Trained with ArcFace loss on MS‑Celeb‑1M.
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View for other chipsetsTechnical Details
Embedding dimension:128
Input resolution:112x112
Model checkpoint:mobilefacenet.pt
Model size (float):4MB
Number of parameters:1M
Applicable Scenarios
- Incabinet driver monitoring
- phone unlocking
- building access control.
Supported Mobile Form Factors
- Phone
- Tablet
License
Model:APACHE-2.0
Tags
- real-time
Supported Mobile Devices
- Samsung Galaxy S21
- Samsung Galaxy S21 Ultra
- Samsung Galaxy S22 5G
- Samsung Galaxy S22 Ultra 5G
- Samsung Galaxy S22+ 5G
- Samsung Galaxy S23
- Samsung Galaxy S23 Ultra
- Samsung Galaxy S23+
- Samsung Galaxy S24
- Samsung Galaxy S24 Ultra
- Samsung Galaxy S24+
- Samsung Galaxy S25
- Samsung Galaxy S25 Ultra
- Samsung Galaxy S25+
- Samsung Galaxy S26
- Samsung Galaxy S26 Ultra
- Samsung Galaxy S26+
- Samsung Galaxy Tab S8
- Snapdragon 7 Gen 4 QRD
- Snapdragon 8 Elite Gen 5 QRD
- Snapdragon 8 Elite QRD
- Xiaomi 12
Supported Mobile Chipsets
- Snapdragon® 7 Gen 4 Mobile
- Snapdragon® 8 Elite Mobile
- Snapdragon® 8 Elite Gen 5 Mobile
- Snapdragon® 8 Gen 1 Mobile
- Snapdragon® 8 Gen 2 Mobile
- Snapdragon® 8 Gen 3 Mobile
- Snapdragon® 888 Mobile
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