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MobileFaceNet

Object Detection
PyTorch
real_time
bu_auto
android
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MobileFaceNet: Optimized for Qualcomm Devices

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.

This is based on the implementation of MobileFaceNet found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.

Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.

Getting Started

There are two ways to deploy this model on your device:

Option 1: Download Pre-Exported Models

Below are pre-exported model assets ready for deployment.

Runtime Precision Chipset SDK Versions Download
ONNX float Universal QAIRT 2.45, ONNX Runtime 1.27.1 Download
ONNX w8a16 Universal QAIRT 2.45, ONNX Runtime 1.27.1 Download
QNN_DLC float Universal QAIRT 2.45 Download
QNN_DLC w8a16 Universal QAIRT 2.45 Download
TFLITE float Universal QAIRT 2.45 Download

For more device-specific assets and performance metrics, visit MobileFaceNet on Qualcomm® AI Hub.

Option 2: Export with Custom Configurations

Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:

  • Custom weights (e.g., fine-tuned checkpoints)
  • Custom input shapes
  • Target device and runtime configurations

This option is ideal if you need to customize the model beyond the default configuration provided here.

See our repository for MobileFaceNet on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.object_detection

Model Stats:

  • Embedding dimension: 128
  • Input resolution: 112x112
  • Model checkpoint: mobilefacenet.pt
  • Model size (float): 4MB
  • Number of parameters: 1M

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
MobileFaceNet ONNX float Snapdragon® X2 Elite 0.584 ms 1 - 1 MB NPU
MobileFaceNet ONNX float Snapdragon® X Elite 1.048 ms 0 - 0 MB NPU
MobileFaceNet ONNX float Snapdragon® 8 Gen 3 Mobile 0.705 ms 0 - 51 MB NPU
MobileFaceNet ONNX float Snapdragon® 8 Gen 1 Mobile 1.514 ms 0 - 54 MB NPU
MobileFaceNet ONNX float Qualcomm® Dragonwing™ IQ-8275 1.472 ms 0 - 4 MB NPU
MobileFaceNet ONNX float Qualcomm® Dragonwing™ QCS8550 (Proxy) 1.002 ms 0 - 5 MB NPU
MobileFaceNet ONNX float Qualcomm® QCS8450 1.514 ms 0 - 54 MB NPU
MobileFaceNet ONNX float Qualcomm® Dragonwing™ IQ-9075 1.38 ms 0 - 3 MB NPU
MobileFaceNet ONNX float Qualcomm® Dragonwing™ IQ-X7181 1.048 ms 0 - 0 MB NPU
MobileFaceNet ONNX float Qualcomm® Dragonwing™ Q-8750 0.564 ms 0 - 31 MB NPU
MobileFaceNet ONNX float Snapdragon® 8 Elite Mobile 0.564 ms 0 - 31 MB NPU
MobileFaceNet ONNX float Snapdragon® 8 Elite Gen 5 Mobile 0.505 ms 0 - 32 MB NPU
MobileFaceNet ONNX w8a16 Snapdragon® X2 Elite 0.443 ms 1 - 1 MB NPU
MobileFaceNet ONNX w8a16 Snapdragon® X Elite 0.823 ms 0 - 0 MB NPU
MobileFaceNet ONNX w8a16 Snapdragon® 8 Gen 3 Mobile 0.577 ms 0 - 53 MB NPU
MobileFaceNet ONNX w8a16 Snapdragon® 8 Gen 1 Mobile 1.092 ms 0 - 58 MB NPU
MobileFaceNet ONNX w8a16 Qualcomm® Dragonwing™ QCS6490 2.966 ms 0 - 3 MB NPU
MobileFaceNet ONNX w8a16 Qualcomm® Dragonwing™ IQ-8275 0.874 ms 0 - 4 MB NPU
MobileFaceNet ONNX w8a16 Qualcomm® Dragonwing™ QCS8550 (Proxy) 0.799 ms 0 - 4 MB NPU
MobileFaceNet ONNX w8a16 Qualcomm® QCS8450 1.092 ms 0 - 58 MB NPU
MobileFaceNet ONNX w8a16 Qualcomm® Dragonwing™ IQ-9075 0.911 ms 0 - 3 MB NPU
MobileFaceNet ONNX w8a16 Qualcomm® Dragonwing™ IQ-X7181 0.823 ms 0 - 0 MB NPU
MobileFaceNet ONNX w8a16 Qualcomm® Dragonwing™ Q-6690 5.412 ms 0 - 158 MB NPU
MobileFaceNet ONNX w8a16 Qualcomm® Dragonwing™ Q-7790 0.925 ms 0 - 41 MB NPU
MobileFaceNet ONNX w8a16 Qualcomm® Dragonwing™ Q-8750 0.457 ms 0 - 45 MB NPU
MobileFaceNet ONNX w8a16 Snapdragon® 8 Elite Mobile 0.457 ms 0 - 45 MB NPU
MobileFaceNet ONNX w8a16 Snapdragon® 8 Elite Gen 5 Mobile 0.369 ms 0 - 41 MB NPU
MobileFaceNet ONNX w8a16 Snapdragon® 7 Gen 4 Mobile 0.925 ms 0 - 41 MB NPU
MobileFaceNet QNN_DLC float Snapdragon® X2 Elite 0.68 ms 0 - 0 MB NPU
MobileFaceNet QNN_DLC float Snapdragon® X Elite 1.314 ms 0 - 0 MB NPU
MobileFaceNet QNN_DLC float Snapdragon® 8 Gen 3 Mobile 0.792 ms 0 - 46 MB NPU
MobileFaceNet QNN_DLC float Snapdragon® 8 Gen 1 Mobile 1.645 ms 0 - 50 MB NPU
MobileFaceNet QNN_DLC float Qualcomm® Dragonwing™ IQ-8275 1.471 ms 0 - 3 MB NPU
MobileFaceNet QNN_DLC float Qualcomm® Dragonwing™ QCS8550 (Proxy) 1.132 ms 0 - 2 MB NPU
MobileFaceNet QNN_DLC float Qualcomm® SA8775P 1.677 ms 0 - 33 MB NPU
MobileFaceNet QNN_DLC float Qualcomm® SA8650P 1.677 ms 0 - 33 MB NPU
MobileFaceNet QNN_DLC float Qualcomm® SA8255P 1.677 ms 0 - 33 MB NPU
MobileFaceNet QNN_DLC float Qualcomm® QCS8450 1.645 ms 0 - 50 MB NPU
MobileFaceNet QNN_DLC float Qualcomm® Dragonwing™ IQ-9075 1.498 ms 0 - 2 MB NPU
MobileFaceNet QNN_DLC float Qualcomm® Dragonwing™ IQ-X7181 1.314 ms 0 - 0 MB NPU
MobileFaceNet QNN_DLC float Qualcomm® Dragonwing™ Q-8750 0.602 ms 0 - 31 MB NPU
MobileFaceNet QNN_DLC float Qualcomm® SA7255P 4.475 ms 0 - 30 MB NPU
MobileFaceNet QNN_DLC float Qualcomm® SA8295P 2.018 ms 0 - 29 MB NPU
MobileFaceNet QNN_DLC float Snapdragon® 8 Elite Mobile 0.602 ms 0 - 31 MB NPU
MobileFaceNet QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 0.479 ms 0 - 32 MB NPU
MobileFaceNet QNN_DLC w8a16 Snapdragon® X2 Elite 0.592 ms 0 - 0 MB NPU
MobileFaceNet QNN_DLC w8a16 Snapdragon® X Elite 1.156 ms 0 - 0 MB NPU
MobileFaceNet QNN_DLC w8a16 Snapdragon® 8 Gen 3 Mobile 0.689 ms 0 - 47 MB NPU
MobileFaceNet QNN_DLC w8a16 Snapdragon® 8 Gen 1 Mobile 1.228 ms 0 - 52 MB NPU
MobileFaceNet QNN_DLC w8a16 Qualcomm® Dragonwing™ QCS6490 3.644 ms 0 - 2 MB NPU
MobileFaceNet QNN_DLC w8a16 Qualcomm® Dragonwing™ IQ-8275 0.983 ms 0 - 2 MB NPU
MobileFaceNet QNN_DLC w8a16 Qualcomm® Dragonwing™ QCS8550 (Proxy) 0.992 ms 0 - 11 MB NPU
MobileFaceNet QNN_DLC w8a16 Qualcomm® SA8775P 1.205 ms 0 - 38 MB NPU
MobileFaceNet QNN_DLC w8a16 Qualcomm® SA8650P 1.205 ms 0 - 38 MB NPU
MobileFaceNet QNN_DLC w8a16 Qualcomm® SA8255P 1.205 ms 0 - 38 MB NPU
MobileFaceNet QNN_DLC w8a16 Qualcomm® QCS8450 1.228 ms 0 - 52 MB NPU
MobileFaceNet QNN_DLC w8a16 Qualcomm® Dragonwing™ IQ-9075 1.084 ms 0 - 2 MB NPU
MobileFaceNet QNN_DLC w8a16 Qualcomm® Dragonwing™ IQ-X7181 1.156 ms 0 - 0 MB NPU
MobileFaceNet QNN_DLC w8a16 Qualcomm® Dragonwing™ Q-6690 6.133 ms 0 - 149 MB NPU
MobileFaceNet QNN_DLC w8a16 Qualcomm® Dragonwing™ Q-7790 1.078 ms 0 - 35 MB NPU
MobileFaceNet QNN_DLC w8a16 Qualcomm® Dragonwing™ Q-8750 0.492 ms 0 - 36 MB NPU
MobileFaceNet QNN_DLC w8a16 Qualcomm® SA7255P 2.244 ms 0 - 35 MB NPU
MobileFaceNet QNN_DLC w8a16 Qualcomm® SA8295P 1.622 ms 0 - 34 MB NPU
MobileFaceNet QNN_DLC w8a16 Snapdragon® 8 Elite Mobile 0.492 ms 0 - 36 MB NPU
MobileFaceNet QNN_DLC w8a16 Snapdragon® 8 Elite Gen 5 Mobile 0.39 ms 0 - 37 MB NPU
MobileFaceNet QNN_DLC w8a16 Snapdragon® 7 Gen 4 Mobile 1.078 ms 0 - 35 MB NPU
MobileFaceNet TFLITE float Snapdragon® 8 Gen 3 Mobile 0.701 ms 0 - 47 MB NPU
MobileFaceNet TFLITE float Snapdragon® 8 Gen 1 Mobile 1.483 ms 0 - 49 MB NPU
MobileFaceNet TFLITE float Qualcomm® Dragonwing™ IQ-8275 1.44 ms 0 - 6 MB NPU
MobileFaceNet TFLITE float Qualcomm® Dragonwing™ QCS8550 (Proxy) 0.973 ms 0 - 2 MB NPU
MobileFaceNet TFLITE float Qualcomm® SA8775P 1.508 ms 0 - 36 MB NPU
MobileFaceNet TFLITE float Qualcomm® SA8650P 1.508 ms 0 - 36 MB NPU
MobileFaceNet TFLITE float Qualcomm® SA8255P 1.508 ms 0 - 36 MB NPU
MobileFaceNet TFLITE float Qualcomm® QCS8450 1.483 ms 0 - 49 MB NPU
MobileFaceNet TFLITE float Qualcomm® Dragonwing™ IQ-9075 1.336 ms 0 - 5 MB NPU
MobileFaceNet TFLITE float Qualcomm® Dragonwing™ Q-8750 0.572 ms 0 - 30 MB NPU
MobileFaceNet TFLITE float Qualcomm® SA7255P 4.451 ms 0 - 32 MB NPU
MobileFaceNet TFLITE float Qualcomm® SA8295P 1.793 ms 0 - 29 MB NPU
MobileFaceNet TFLITE float Snapdragon® 8 Elite Mobile 0.572 ms 0 - 30 MB NPU
MobileFaceNet TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 0.504 ms 0 - 31 MB NPU

License

  • The license for the original implementation of MobileFaceNet can be found here.

References

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