--- library_name: pytorch license: other tags: - real_time - bu_iot - android pipeline_tag: object-detection --- ![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/face_attrib_net/web-assets/model_demo.png) # Facial-Attribute-Detection: Optimized for Qualcomm Devices Detects attributes (eye closeness, mask presence, eyeglasses presence, sunglasses presence) that apply to a given face. This model's architecture was developed by Qualcomm. The model was trained by Qualcomm on a proprietary dataset of faces, but can be used on any image. 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/main/src/qai_hub_models/models/face_attrib_net) 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 2.42, ONNX Runtime 1.24.3 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/face_attrib_net/releases/v0.54.0/face_attrib_net-onnx-float.zip) | ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/face_attrib_net/releases/v0.54.0/face_attrib_net-onnx-w8a8.zip) | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/face_attrib_net/releases/v0.54.0/face_attrib_net-qnn_dlc-float.zip) | QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/face_attrib_net/releases/v0.54.0/face_attrib_net-qnn_dlc-w8a8.zip) | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/face_attrib_net/releases/v0.54.0/face_attrib_net-tflite-float.zip) | TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/face_attrib_net/releases/v0.54.0/face_attrib_net-tflite-w8a8.zip) For more device-specific assets and performance metrics, visit **[Facial-Attribute-Detection on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/face_attrib_net)**. ### Option 2: Export with Custom Configurations Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/face_attrib_net) 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 [Facial-Attribute-Detection on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/face_attrib_net) for usage instructions. ## Model Details **Model Type:** Model_use_case.object_detection **Model Stats:** - Model checkpoint: multitask_FR_state_dict.pt - Input resolution: 128x128 - Number of parameters: 12.1M - Model size (float): 46.3 MB - Model size (w8a8): 12.3 MB ## Performance Summary | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |---|---|---|---|---|---|--- | Facial-Attribute-Detection | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.437 ms | 0 - 66 MB | NPU | Facial-Attribute-Detection | ONNX | float | Snapdragon® 8 Elite Mobile | 0.513 ms | 0 - 65 MB | NPU | Facial-Attribute-Detection | ONNX | float | Snapdragon® X2 Elite | 0.423 ms | 22 - 22 MB | NPU | Facial-Attribute-Detection | ONNX | float | Snapdragon® X Elite | 0.991 ms | 22 - 22 MB | NPU | Facial-Attribute-Detection | ONNX | float | Snapdragon® X Elite | 0.991 ms | 22 - 22 MB | NPU | Facial-Attribute-Detection | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.64 ms | 0 - 90 MB | NPU | Facial-Attribute-Detection | ONNX | float | Qualcomm® QCS8550 (Proxy) | 0.863 ms | 0 - 9 MB | NPU | Facial-Attribute-Detection | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.513 ms | 0 - 65 MB | NPU | Facial-Attribute-Detection | ONNX | float | Qualcomm® QCS9075 | 1.265 ms | 0 - 3 MB | NPU | Facial-Attribute-Detection | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.215 ms | 0 - 61 MB | NPU | Facial-Attribute-Detection | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 0.25 ms | 0 - 62 MB | NPU | Facial-Attribute-Detection | ONNX | w8a8 | Snapdragon® X2 Elite | 0.207 ms | 11 - 11 MB | NPU | Facial-Attribute-Detection | ONNX | w8a8 | Snapdragon® X Elite | 0.54 ms | 11 - 11 MB | NPU | Facial-Attribute-Detection | ONNX | w8a8 | Snapdragon® X Elite | 0.54 ms | 11 - 11 MB | NPU | Facial-Attribute-Detection | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.292 ms | 0 - 86 MB | NPU | Facial-Attribute-Detection | ONNX | w8a8 | Qualcomm® QCS6490 | 35.752 ms | 20 - 28 MB | CPU | Facial-Attribute-Detection | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.408 ms | 0 - 19 MB | NPU | Facial-Attribute-Detection | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 12.559 ms | 20 - 30 MB | CPU | Facial-Attribute-Detection | ONNX | w8a8 | Qualcomm® QCM6690 | 16.939 ms | 19 - 28 MB | CPU | Facial-Attribute-Detection | ONNX | w8a8 | Qualcomm® QCS9075 | 0.52 ms | 0 - 3 MB | NPU | Facial-Attribute-Detection | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.25 ms | 0 - 62 MB | NPU | Facial-Attribute-Detection | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 12.559 ms | 20 - 30 MB | CPU | Facial-Attribute-Detection | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.426 ms | 0 - 57 MB | NPU | Facial-Attribute-Detection | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.502 ms | 0 - 57 MB | NPU | Facial-Attribute-Detection | QNN_DLC | float | Snapdragon® X2 Elite | 0.622 ms | 0 - 0 MB | NPU | Facial-Attribute-Detection | QNN_DLC | float | Snapdragon® X Elite | 0.969 ms | 0 - 0 MB | NPU | Facial-Attribute-Detection | QNN_DLC | float | Snapdragon® X Elite | 0.969 ms | 0 - 0 MB | NPU | Facial-Attribute-Detection | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.643 ms | 0 - 81 MB | NPU | Facial-Attribute-Detection | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 0.858 ms | 0 - 2 MB | NPU | Facial-Attribute-Detection | QNN_DLC | float | Qualcomm® SA8775P | 1.359 ms | 0 - 54 MB | NPU | Facial-Attribute-Detection | QNN_DLC | float | Qualcomm® SA8775P | 1.359 ms | 0 - 54 MB | NPU | Facial-Attribute-Detection | QNN_DLC | float | Qualcomm® SA8775P | 1.359 ms | 0 - 54 MB | NPU | Facial-Attribute-Detection | QNN_DLC | float | Qualcomm® SA7255P | 4.287 ms | 0 - 52 MB | NPU | Facial-Attribute-Detection | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 1.35 ms | 0 - 76 MB | NPU | Facial-Attribute-Detection | QNN_DLC | float | Qualcomm® SA8295P | 1.547 ms | 0 - 48 MB | NPU | Facial-Attribute-Detection | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.502 ms | 0 - 57 MB | NPU | Facial-Attribute-Detection | QNN_DLC | float | Qualcomm® QCS9075 | 1.211 ms | 2 - 4 MB | NPU | Facial-Attribute-Detection | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.201 ms | 0 - 51 MB | NPU | Facial-Attribute-Detection | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 0.236 ms | 0 - 47 MB | NPU | Facial-Attribute-Detection | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.278 ms | 0 - 0 MB | NPU | Facial-Attribute-Detection | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.504 ms | 0 - 0 MB | NPU | Facial-Attribute-Detection | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.504 ms | 0 - 0 MB | NPU | Facial-Attribute-Detection | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.286 ms | 0 - 63 MB | NPU | Facial-Attribute-Detection | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 1.292 ms | 0 - 2 MB | NPU | Facial-Attribute-Detection | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.385 ms | 0 - 11 MB | NPU | Facial-Attribute-Detection | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.568 ms | 0 - 50 MB | NPU | Facial-Attribute-Detection | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.568 ms | 0 - 50 MB | NPU | Facial-Attribute-Detection | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.568 ms | 0 - 50 MB | NPU | Facial-Attribute-Detection | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.49 ms | 0 - 47 MB | NPU | Facial-Attribute-Detection | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 2.895 ms | 0 - 50 MB | NPU | Facial-Attribute-Detection | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.47 ms | 0 - 2 MB | NPU | Facial-Attribute-Detection | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.236 ms | 0 - 47 MB | NPU | Facial-Attribute-Detection | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.61 ms | 0 - 66 MB | NPU | Facial-Attribute-Detection | QNN_DLC | w8a8 | Qualcomm® SA7255P | 1.04 ms | 0 - 47 MB | NPU | Facial-Attribute-Detection | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.807 ms | 0 - 47 MB | NPU | Facial-Attribute-Detection | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.49 ms | 0 - 47 MB | NPU | Facial-Attribute-Detection | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.415 ms | 0 - 72 MB | NPU | Facial-Attribute-Detection | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.489 ms | 0 - 62 MB | NPU | Facial-Attribute-Detection | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.624 ms | 0 - 93 MB | NPU | Facial-Attribute-Detection | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 0.808 ms | 0 - 5 MB | NPU | Facial-Attribute-Detection | TFLITE | float | Qualcomm® SA8775P | 1.36 ms | 0 - 69 MB | NPU | Facial-Attribute-Detection | TFLITE | float | Qualcomm® SA8775P | 1.36 ms | 0 - 69 MB | NPU | Facial-Attribute-Detection | TFLITE | float | Qualcomm® SA8775P | 1.36 ms | 0 - 69 MB | NPU | Facial-Attribute-Detection | TFLITE | float | Qualcomm® SA7255P | 4.218 ms | 0 - 66 MB | NPU | Facial-Attribute-Detection | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 1.3 ms | 0 - 92 MB | NPU | Facial-Attribute-Detection | TFLITE | float | Qualcomm® SA8295P | 1.536 ms | 0 - 60 MB | NPU | Facial-Attribute-Detection | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.489 ms | 0 - 62 MB | NPU | Facial-Attribute-Detection | TFLITE | float | Qualcomm® QCS9075 | 1.188 ms | 0 - 24 MB | NPU | Facial-Attribute-Detection | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.204 ms | 0 - 51 MB | NPU | Facial-Attribute-Detection | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 0.243 ms | 0 - 42 MB | NPU | Facial-Attribute-Detection | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.283 ms | 0 - 72 MB | NPU | Facial-Attribute-Detection | TFLITE | w8a8 | Qualcomm® QCS6490 | 1.205 ms | 0 - 13 MB | NPU | Facial-Attribute-Detection | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.376 ms | 0 - 2 MB | NPU | Facial-Attribute-Detection | TFLITE | w8a8 | Qualcomm® SA8775P | 0.589 ms | 0 - 46 MB | NPU | Facial-Attribute-Detection | TFLITE | w8a8 | Qualcomm® SA8775P | 0.589 ms | 0 - 46 MB | NPU | Facial-Attribute-Detection | TFLITE | w8a8 | Qualcomm® SA8775P | 0.589 ms | 0 - 46 MB | NPU | Facial-Attribute-Detection | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.494 ms | 0 - 41 MB | NPU | Facial-Attribute-Detection | TFLITE | w8a8 | Qualcomm® QCM6690 | 2.928 ms | 0 - 42 MB | NPU | Facial-Attribute-Detection | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.483 ms | 0 - 13 MB | NPU | Facial-Attribute-Detection | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.243 ms | 0 - 42 MB | NPU | Facial-Attribute-Detection | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.619 ms | 0 - 64 MB | NPU | Facial-Attribute-Detection | TFLITE | w8a8 | Qualcomm® SA7255P | 1.096 ms | 0 - 46 MB | NPU | Facial-Attribute-Detection | TFLITE | w8a8 | Qualcomm® SA8295P | 0.816 ms | 0 - 43 MB | NPU | Facial-Attribute-Detection | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.494 ms | 0 - 41 MB | NPU ## License * The license for the original implementation of Facial-Attribute-Detection can be found [here](https://github.com/qualcomm/ai-hub-models/blob/main/LICENSE). ## 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).