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MobileFaceNet

Object Detection
PyTorch
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bu_auto
android
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MobileFaceNet
File size: 11,404 Bytes
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---
library_name: pytorch
license: apache-2.0
tags:
- real_time
- bu_auto
- android
pipeline_tag: object-detection

---

![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/web-assets/model_demo.png)

# 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](https://github.com/foamliu/MobileFaceNet).
This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/mobile_facenet) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).

Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) 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 2.50, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/releases/v0.63.0/mobile_facenet-onnx-float.zip)
| ONNX | w8a16 | Universal | QAIRT 2.50, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/releases/v0.63.0/mobile_facenet-onnx-w8a16.zip)
| QNN_DLC | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/releases/v0.63.0/mobile_facenet-qnn_dlc-float.zip)
| QNN_DLC | w8a16 | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/releases/v0.63.0/mobile_facenet-qnn_dlc-w8a16.zip)
| TFLITE | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/releases/v0.63.0/mobile_facenet-tflite-float.zip)

For more device-specific assets and performance metrics, visit **[MobileFaceNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/mobile_facenet)**.


### Option 2: Export with Custom Configurations

Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/mobile_facenet) 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](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/mobile_facenet) 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® 8 Elite Gen 5 For Galaxy Mobile | 0.531 ms | 0 - 38 MB | NPU
| MobileFaceNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.545 ms | 0 - 41 MB | NPU
| MobileFaceNet | ONNX | float | Snapdragon® X2 Elite | 0.609 ms | 1 - 1 MB | NPU
| MobileFaceNet | ONNX | float | Snapdragon® X Elite | 1.034 ms | 0 - 0 MB | NPU
| MobileFaceNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.699 ms | 0 - 57 MB | NPU
| MobileFaceNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 1.467 ms | 0 - 59 MB | NPU
| MobileFaceNet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 1.457 ms | 0 - 4 MB | NPU
| MobileFaceNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.001 ms | 0 - 5 MB | NPU
| MobileFaceNet | ONNX | float | Qualcomm® QCS8450 | 1.467 ms | 0 - 59 MB | NPU
| MobileFaceNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1.393 ms | 0 - 4 MB | NPU
| MobileFaceNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.034 ms | 0 - 0 MB | NPU
| MobileFaceNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.545 ms | 0 - 41 MB | NPU
| MobileFaceNet | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.377 ms | 0 - 47 MB | NPU
| MobileFaceNet | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.451 ms | 0 - 51 MB | NPU
| MobileFaceNet | ONNX | w8a16 | Snapdragon® X2 Elite | 0.459 ms | 1 - 1 MB | NPU
| MobileFaceNet | ONNX | w8a16 | Snapdragon® X Elite | 0.819 ms | 0 - 0 MB | NPU
| MobileFaceNet | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.575 ms | 0 - 59 MB | NPU
| MobileFaceNet | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.054 ms | 0 - 61 MB | NPU
| MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 2.372 ms | 0 - 3 MB | NPU
| MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 0.879 ms | 0 - 4 MB | NPU
| MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.797 ms | 0 - 3 MB | NPU
| MobileFaceNet | ONNX | w8a16 | Qualcomm® QCS8450 | 1.054 ms | 0 - 61 MB | NPU
| MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 0.907 ms | 0 - 3 MB | NPU
| MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 0.819 ms | 0 - 0 MB | NPU
| MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 5.437 ms | 0 - 158 MB | NPU
| MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 0.924 ms | 0 - 46 MB | NPU
| MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.451 ms | 0 - 51 MB | NPU
| MobileFaceNet | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 0.924 ms | 0 - 46 MB | NPU
| MobileFaceNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.532 ms | 0 - 35 MB | NPU
| MobileFaceNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.591 ms | 0 - 34 MB | NPU
| MobileFaceNet | QNN_DLC | float | Snapdragon® X2 Elite | 0.733 ms | 0 - 0 MB | NPU
| MobileFaceNet | QNN_DLC | float | Snapdragon® X Elite | 1.343 ms | 0 - 0 MB | NPU
| MobileFaceNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.786 ms | 0 - 50 MB | NPU
| MobileFaceNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 1.624 ms | 0 - 55 MB | NPU
| MobileFaceNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 1.464 ms | 0 - 3 MB | NPU
| MobileFaceNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.171 ms | 0 - 30 MB | NPU
| MobileFaceNet | QNN_DLC | float | Qualcomm® QCS8450 | 1.624 ms | 0 - 55 MB | NPU
| MobileFaceNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 1.496 ms | 0 - 3 MB | NPU
| MobileFaceNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.343 ms | 0 - 0 MB | NPU
| MobileFaceNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.591 ms | 0 - 34 MB | NPU
| MobileFaceNet | QNN_DLC | float | Qualcomm® SA8295P | 1.907 ms | 0 - 33 MB | NPU
| MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.389 ms | 0 - 42 MB | NPU
| MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.497 ms | 0 - 41 MB | NPU
| MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.585 ms | 0 - 0 MB | NPU
| MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.154 ms | 0 - 0 MB | NPU
| MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.682 ms | 0 - 53 MB | NPU
| MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.202 ms | 0 - 58 MB | NPU
| MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 2.705 ms | 0 - 2 MB | NPU
| MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 0.966 ms | 0 - 3 MB | NPU
| MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.997 ms | 0 - 2 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 | 1.202 ms | 0 - 58 MB | NPU
| MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.091 ms | 0 - 2 MB | NPU
| MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.154 ms | 0 - 0 MB | NPU
| MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 6.035 ms | 0 - 148 MB | NPU
| MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1.081 ms | 0 - 40 MB | NPU
| MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.497 ms | 0 - 41 MB | NPU
| MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® SA8295P | 1.456 ms | 0 - 40 MB | NPU
| MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.081 ms | 0 - 40 MB | NPU
| MobileFaceNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.533 ms | 0 - 36 MB | NPU
| MobileFaceNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.562 ms | 0 - 35 MB | NPU
| MobileFaceNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.699 ms | 9 - 60 MB | NPU
| MobileFaceNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 1.411 ms | 0 - 53 MB | NPU
| MobileFaceNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 1.442 ms | 0 - 6 MB | NPU
| MobileFaceNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.976 ms | 0 - 2 MB | NPU
| MobileFaceNet | TFLITE | float | Qualcomm® SA8775P | 16.232 ms | 1 - 6 MB | CPU
| MobileFaceNet | TFLITE | float | Qualcomm® SA8650P | 16.232 ms | 1 - 6 MB | CPU
| MobileFaceNet | TFLITE | float | Qualcomm® SA8255P | 16.232 ms | 1 - 6 MB | CPU
| MobileFaceNet | TFLITE | float | Qualcomm® QCS8450 | 1.411 ms | 0 - 53 MB | NPU
| MobileFaceNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 1.357 ms | 0 - 5 MB | NPU
| MobileFaceNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.562 ms | 0 - 35 MB | NPU
| MobileFaceNet | TFLITE | float | Qualcomm® SA7255P | 4.497 ms | 0 - 38 MB | NPU
| MobileFaceNet | TFLITE | float | Qualcomm® SA8295P | 1.702 ms | 0 - 33 MB | NPU

## License
* The license for the original implementation of MobileFaceNet can be found
  [here](https://github.com/foamliu/MobileFaceNet/blob/master/LICENSE).

## References
* [Source Model Implementation](https://github.com/foamliu/MobileFaceNet)

## Community
* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
* For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).