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MobileFaceNet

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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	0.583 ms	1 - 1 MB	NPU
MobileFaceNet	ONNX	float	Snapdragon® X Elite	1.038 ms	0 - 0 MB	NPU
MobileFaceNet	ONNX	float	Snapdragon® 8 Gen 3 Mobile	0.7 ms	0 - 51 MB	NPU
MobileFaceNet	ONNX	float	Snapdragon® 8 Gen 1 Mobile	1.511 ms	0 - 54 MB	NPU
MobileFaceNet	ONNX	float	Qualcomm® Dragonwing™ IQ-8275	1.471 ms	0 - 4 MB	NPU
MobileFaceNet	ONNX	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	1.002 ms	0 - 4 MB	NPU
MobileFaceNet	ONNX	float	Qualcomm® QCS8450	1.511 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	1.038 ms	0 - 0 MB	NPU
MobileFaceNet	ONNX	float	Qualcomm® Dragonwing™ Q-8750	0.567 ms	0 - 36 MB	NPU
MobileFaceNet	ONNX	float	Snapdragon® 8 Elite Mobile	0.567 ms	0 - 36 MB	NPU
MobileFaceNet	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	0.51 ms	0 - 33 MB	NPU
MobileFaceNet	ONNX	w8a16	Snapdragon® X2 Elite	0.446 ms	1 - 1 MB	NPU
MobileFaceNet	ONNX	w8a16	Snapdragon® X Elite	0.824 ms	0 - 0 MB	NPU
MobileFaceNet	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	0.581 ms	0 - 53 MB	NPU
MobileFaceNet	ONNX	w8a16	Snapdragon® 8 Gen 1 Mobile	1.103 ms	0 - 57 MB	NPU
MobileFaceNet	ONNX	w8a16	Qualcomm® Dragonwing™ QCS6490	2.958 ms	0 - 3 MB	NPU
MobileFaceNet	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-8275	0.851 ms	0 - 4 MB	NPU
MobileFaceNet	ONNX	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	0.804 ms	0 - 4 MB	NPU
MobileFaceNet	ONNX	w8a16	Qualcomm® QCS8450	1.103 ms	0 - 57 MB	NPU
MobileFaceNet	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-9075	0.914 ms	0 - 3 MB	NPU
MobileFaceNet	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-X7181	0.824 ms	0 - 0 MB	NPU
MobileFaceNet	ONNX	w8a16	Qualcomm® Dragonwing™ Q-6690	5.426 ms	0 - 161 MB	NPU
MobileFaceNet	ONNX	w8a16	Qualcomm® Dragonwing™ Q-7790	0.909 ms	0 - 41 MB	NPU
MobileFaceNet	ONNX	w8a16	Qualcomm® Dragonwing™ Q-8750	0.459 ms	0 - 40 MB	NPU
MobileFaceNet	ONNX	w8a16	Snapdragon® 8 Elite Mobile	0.459 ms	0 - 40 MB	NPU
MobileFaceNet	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.369 ms	0 - 42 MB	NPU
MobileFaceNet	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	0.909 ms	0 - 41 MB	NPU
MobileFaceNet	QNN_DLC	float	Snapdragon® X2 Elite	0.696 ms	0 - 0 MB	NPU
MobileFaceNet	QNN_DLC	float	Snapdragon® X Elite	1.305 ms	0 - 0 MB	NPU
MobileFaceNet	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	0.807 ms	0 - 46 MB	NPU
MobileFaceNet	QNN_DLC	float	Snapdragon® 8 Gen 1 Mobile	1.63 ms	0 - 50 MB	NPU
MobileFaceNet	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-8275	1.467 ms	0 - 3 MB	NPU
MobileFaceNet	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-8275	4.53 ms	0 - 30 MB	NPU
MobileFaceNet	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	1.15 ms	0 - 12 MB	NPU
MobileFaceNet	QNN_DLC	float	Qualcomm® SA8775P	1.674 ms	0 - 33 MB	NPU
MobileFaceNet	QNN_DLC	float	Qualcomm® SA8650P	1.674 ms	0 - 33 MB	NPU
MobileFaceNet	QNN_DLC	float	Qualcomm® SA8255P	1.674 ms	0 - 33 MB	NPU
MobileFaceNet	QNN_DLC	float	Qualcomm® QCS8450	1.63 ms	0 - 50 MB	NPU
MobileFaceNet	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-9075	1.499 ms	0 - 2 MB	NPU
MobileFaceNet	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-X7181	1.305 ms	0 - 0 MB	NPU
MobileFaceNet	QNN_DLC	float	Qualcomm® Dragonwing™ Q-8750	0.606 ms	0 - 30 MB	NPU
MobileFaceNet	QNN_DLC	float	Qualcomm® SA7255P	4.53 ms	0 - 30 MB	NPU
MobileFaceNet	QNN_DLC	float	Qualcomm® SA8295P	2.034 ms	0 - 29 MB	NPU
MobileFaceNet	QNN_DLC	float	Snapdragon® 8 Elite Mobile	0.606 ms	0 - 30 MB	NPU
MobileFaceNet	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	0.478 ms	0 - 31 MB	NPU
MobileFaceNet	QNN_DLC	w8a16	Snapdragon® X2 Elite	0.605 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	0.697 ms	0 - 47 MB	NPU
MobileFaceNet	QNN_DLC	w8a16	Snapdragon® 8 Gen 1 Mobile	1.252 ms	0 - 48 MB	NPU
MobileFaceNet	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS6490	3.611 ms	0 - 2 MB	NPU
MobileFaceNet	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-8275	0.992 ms	0 - 2 MB	NPU
MobileFaceNet	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-8275	2.217 ms	0 - 36 MB	NPU
MobileFaceNet	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	0.995 ms	0 - 71 MB	NPU
MobileFaceNet	QNN_DLC	w8a16	Qualcomm® SA8775P	1.198 ms	0 - 38 MB	NPU
MobileFaceNet	QNN_DLC	w8a16	Qualcomm® SA8650P	1.198 ms	0 - 38 MB	NPU
MobileFaceNet	QNN_DLC	w8a16	Qualcomm® SA8255P	1.198 ms	0 - 38 MB	NPU
MobileFaceNet	QNN_DLC	w8a16	Qualcomm® QCS8450	1.252 ms	0 - 48 MB	NPU
MobileFaceNet	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-9075	1.095 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	6.123 ms	0 - 149 MB	NPU
MobileFaceNet	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-7790	1.104 ms	0 - 36 MB	NPU
MobileFaceNet	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-8750	0.489 ms	0 - 35 MB	NPU
MobileFaceNet	QNN_DLC	w8a16	Qualcomm® SA7255P	2.217 ms	0 - 36 MB	NPU
MobileFaceNet	QNN_DLC	w8a16	Qualcomm® SA8295P	1.584 ms	0 - 34 MB	NPU
MobileFaceNet	QNN_DLC	w8a16	Snapdragon® 8 Elite Mobile	0.489 ms	0 - 35 MB	NPU
MobileFaceNet	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.398 ms	0 - 37 MB	NPU
MobileFaceNet	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	1.104 ms	0 - 36 MB	NPU
MobileFaceNet	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	0.687 ms	0 - 48 MB	NPU
MobileFaceNet	TFLITE	float	Snapdragon® 8 Gen 1 Mobile	1.481 ms	0 - 49 MB	NPU
MobileFaceNet	TFLITE	float	Qualcomm® Dragonwing™ IQ-8275	1.444 ms	0 - 6 MB	NPU
MobileFaceNet	TFLITE	float	Qualcomm® Dragonwing™ IQ-8275	4.498 ms	0 - 33 MB	NPU
MobileFaceNet	TFLITE	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	0.977 ms	0 - 2 MB	NPU
MobileFaceNet	TFLITE	float	Qualcomm® SA8775P	1.502 ms	0 - 36 MB	NPU
MobileFaceNet	TFLITE	float	Qualcomm® SA8650P	1.502 ms	0 - 36 MB	NPU
MobileFaceNet	TFLITE	float	Qualcomm® SA8255P	1.502 ms	0 - 36 MB	NPU
MobileFaceNet	TFLITE	float	Qualcomm® QCS8450	1.481 ms	0 - 49 MB	NPU
MobileFaceNet	TFLITE	float	Qualcomm® Dragonwing™ IQ-9075	1.347 ms	0 - 5 MB	NPU
MobileFaceNet	TFLITE	float	Qualcomm® Dragonwing™ Q-8750	0.575 ms	0 - 32 MB	NPU
MobileFaceNet	TFLITE	float	Qualcomm® SA7255P	4.498 ms	0 - 33 MB	NPU
MobileFaceNet	TFLITE	float	Qualcomm® SA8295P	1.81 ms	0 - 28 MB	NPU
MobileFaceNet	TFLITE	float	Snapdragon® 8 Elite Mobile	0.575 ms	0 - 32 MB	NPU
MobileFaceNet	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	0.509 ms	0 - 31 MB	NPU

License

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

References

Source Model Implementation

Community

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qualcomm/MobileFaceNet