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README.md
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| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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| Facial-Landmark-Detection-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 0.
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| Facial-Landmark-Detection-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 0.
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| Facial-Landmark-Detection-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 0.
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| Facial-Landmark-Detection-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.14 ms | 0 -
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| Facial-Landmark-Detection-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.
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| Facial-Landmark-Detection-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 0.
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| Facial-Landmark-Detection-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 0.128 ms | 0 - 16 MB | INT8 | NPU | [Facial-Landmark-Detection-Quantized.tflite](https://huggingface.co/qualcomm/Facial-Landmark-Detection-Quantized/blob/main/Facial-Landmark-Detection-Quantized.tflite) |
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| Facial-Landmark-Detection-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.
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| Facial-Landmark-Detection-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.
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| Facial-Landmark-Detection-Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | TFLITE | 0.
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| Facial-Landmark-Detection-Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | QNN | 0.
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| Facial-Landmark-Detection-Quantized | RB5 (Proxy) | QCS8250 Proxy | TFLITE |
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| Facial-Landmark-Detection-Quantized | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 0.
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| Facial-Landmark-Detection-Quantized | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.
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| Facial-Landmark-Detection-Quantized | SA7255P ADP | SA7255P | TFLITE | 1.
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| Facial-Landmark-Detection-Quantized | SA7255P ADP | SA7255P | QNN | 1.
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| Facial-Landmark-Detection-Quantized | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 0.
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| Facial-Landmark-Detection-Quantized | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.
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| Facial-Landmark-Detection-Quantized | SA8295P ADP | SA8295P | TFLITE | 0.
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| Facial-Landmark-Detection-Quantized | SA8295P ADP | SA8295P | QNN |
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| Facial-Landmark-Detection-Quantized | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 0.
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| Facial-Landmark-Detection-Quantized | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.
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| Facial-Landmark-Detection-Quantized | SA8775P ADP | SA8775P | TFLITE | 0.
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| Facial-Landmark-Detection-Quantized | SA8775P ADP | SA8775P | QNN | 0.
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| Facial-Landmark-Detection-Quantized | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 0.
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| Facial-Landmark-Detection-Quantized | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 0.
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| Facial-Landmark-Detection-Quantized | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.
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| Facial-Landmark-Detection-Quantized | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.
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## Installation
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This model can be installed as a Python package via pip.
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```bash
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pip install "qai-hub-models[
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```
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## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
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Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) with your
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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) : 0.2
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Estimated peak memory usage (MB): [0,
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Total # Ops : 43
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Compute Unit(s) : NPU (43 ops)
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```
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## License
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* The license for the original implementation of Facial-Landmark-Detection-Quantized can be found
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* The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)
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| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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| Facial-Landmark-Detection-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 0.174 ms | 0 - 17 MB | INT8 | NPU | [Facial-Landmark-Detection-Quantized.tflite](https://huggingface.co/qualcomm/Facial-Landmark-Detection-Quantized/blob/main/Facial-Landmark-Detection-Quantized.tflite) |
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| Facial-Landmark-Detection-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 0.223 ms | 0 - 16 MB | INT8 | NPU | [Facial-Landmark-Detection-Quantized.so](https://huggingface.co/qualcomm/Facial-Landmark-Detection-Quantized/blob/main/Facial-Landmark-Detection-Quantized.so) |
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| Facial-Landmark-Detection-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 0.367 ms | 0 - 4 MB | INT8 | NPU | [Facial-Landmark-Detection-Quantized.onnx](https://huggingface.co/qualcomm/Facial-Landmark-Detection-Quantized/blob/main/Facial-Landmark-Detection-Quantized.onnx) |
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| Facial-Landmark-Detection-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.14 ms | 0 - 23 MB | INT8 | NPU | [Facial-Landmark-Detection-Quantized.tflite](https://huggingface.co/qualcomm/Facial-Landmark-Detection-Quantized/blob/main/Facial-Landmark-Detection-Quantized.tflite) |
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| Facial-Landmark-Detection-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.179 ms | 0 - 22 MB | INT8 | NPU | [Facial-Landmark-Detection-Quantized.so](https://huggingface.co/qualcomm/Facial-Landmark-Detection-Quantized/blob/main/Facial-Landmark-Detection-Quantized.so) |
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| Facial-Landmark-Detection-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 0.28 ms | 0 - 23 MB | INT8 | NPU | [Facial-Landmark-Detection-Quantized.onnx](https://huggingface.co/qualcomm/Facial-Landmark-Detection-Quantized/blob/main/Facial-Landmark-Detection-Quantized.onnx) |
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| Facial-Landmark-Detection-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 0.128 ms | 0 - 16 MB | INT8 | NPU | [Facial-Landmark-Detection-Quantized.tflite](https://huggingface.co/qualcomm/Facial-Landmark-Detection-Quantized/blob/main/Facial-Landmark-Detection-Quantized.tflite) |
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| Facial-Landmark-Detection-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.155 ms | 0 - 16 MB | INT8 | NPU | Use Export Script |
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| Facial-Landmark-Detection-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.295 ms | 0 - 18 MB | INT8 | NPU | [Facial-Landmark-Detection-Quantized.onnx](https://huggingface.co/qualcomm/Facial-Landmark-Detection-Quantized/blob/main/Facial-Landmark-Detection-Quantized.onnx) |
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| Facial-Landmark-Detection-Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | TFLITE | 0.56 ms | 0 - 15 MB | INT8 | NPU | [Facial-Landmark-Detection-Quantized.tflite](https://huggingface.co/qualcomm/Facial-Landmark-Detection-Quantized/blob/main/Facial-Landmark-Detection-Quantized.tflite) |
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| Facial-Landmark-Detection-Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | QNN | 0.731 ms | 0 - 11 MB | INT8 | NPU | Use Export Script |
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| Facial-Landmark-Detection-Quantized | RB5 (Proxy) | QCS8250 Proxy | TFLITE | 2.024 ms | 0 - 3 MB | INT8 | NPU | [Facial-Landmark-Detection-Quantized.tflite](https://huggingface.co/qualcomm/Facial-Landmark-Detection-Quantized/blob/main/Facial-Landmark-Detection-Quantized.tflite) |
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| Facial-Landmark-Detection-Quantized | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 0.171 ms | 0 - 17 MB | INT8 | NPU | [Facial-Landmark-Detection-Quantized.tflite](https://huggingface.co/qualcomm/Facial-Landmark-Detection-Quantized/blob/main/Facial-Landmark-Detection-Quantized.tflite) |
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| Facial-Landmark-Detection-Quantized | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.22 ms | 0 - 4 MB | INT8 | NPU | Use Export Script |
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| Facial-Landmark-Detection-Quantized | SA7255P ADP | SA7255P | TFLITE | 1.116 ms | 0 - 9 MB | INT8 | NPU | [Facial-Landmark-Detection-Quantized.tflite](https://huggingface.co/qualcomm/Facial-Landmark-Detection-Quantized/blob/main/Facial-Landmark-Detection-Quantized.tflite) |
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| Facial-Landmark-Detection-Quantized | SA7255P ADP | SA7255P | QNN | 1.367 ms | 0 - 8 MB | INT8 | NPU | Use Export Script |
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| Facial-Landmark-Detection-Quantized | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 0.171 ms | 0 - 16 MB | INT8 | NPU | [Facial-Landmark-Detection-Quantized.tflite](https://huggingface.co/qualcomm/Facial-Landmark-Detection-Quantized/blob/main/Facial-Landmark-Detection-Quantized.tflite) |
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| Facial-Landmark-Detection-Quantized | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.213 ms | 0 - 2 MB | INT8 | NPU | Use Export Script |
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| Facial-Landmark-Detection-Quantized | SA8295P ADP | SA8295P | TFLITE | 0.455 ms | 0 - 15 MB | INT8 | NPU | [Facial-Landmark-Detection-Quantized.tflite](https://huggingface.co/qualcomm/Facial-Landmark-Detection-Quantized/blob/main/Facial-Landmark-Detection-Quantized.tflite) |
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| Facial-Landmark-Detection-Quantized | SA8295P ADP | SA8295P | QNN | 0.802 ms | 0 - 14 MB | INT8 | NPU | Use Export Script |
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| Facial-Landmark-Detection-Quantized | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 0.177 ms | 0 - 17 MB | INT8 | NPU | [Facial-Landmark-Detection-Quantized.tflite](https://huggingface.co/qualcomm/Facial-Landmark-Detection-Quantized/blob/main/Facial-Landmark-Detection-Quantized.tflite) |
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| Facial-Landmark-Detection-Quantized | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.221 ms | 0 - 2 MB | INT8 | NPU | Use Export Script |
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| Facial-Landmark-Detection-Quantized | SA8775P ADP | SA8775P | TFLITE | 0.395 ms | 0 - 10 MB | INT8 | NPU | [Facial-Landmark-Detection-Quantized.tflite](https://huggingface.co/qualcomm/Facial-Landmark-Detection-Quantized/blob/main/Facial-Landmark-Detection-Quantized.tflite) |
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| Facial-Landmark-Detection-Quantized | SA8775P ADP | SA8775P | QNN | 0.55 ms | 0 - 10 MB | INT8 | NPU | Use Export Script |
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| Facial-Landmark-Detection-Quantized | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 0.221 ms | 0 - 22 MB | INT8 | NPU | [Facial-Landmark-Detection-Quantized.tflite](https://huggingface.co/qualcomm/Facial-Landmark-Detection-Quantized/blob/main/Facial-Landmark-Detection-Quantized.tflite) |
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| Facial-Landmark-Detection-Quantized | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 0.275 ms | 0 - 20 MB | INT8 | NPU | Use Export Script |
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| Facial-Landmark-Detection-Quantized | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.282 ms | 1 - 1 MB | INT8 | NPU | Use Export Script |
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| Facial-Landmark-Detection-Quantized | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.325 ms | 6 - 6 MB | INT8 | NPU | [Facial-Landmark-Detection-Quantized.onnx](https://huggingface.co/qualcomm/Facial-Landmark-Detection-Quantized/blob/main/Facial-Landmark-Detection-Quantized.onnx) |
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## Installation
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Install the package via pip:
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```bash
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pip install "qai-hub-models[facemap-3dmm-quantized]"
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```
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## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
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Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) with your
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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) : 0.2
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Estimated peak memory usage (MB): [0, 17]
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Total # Ops : 43
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Compute Unit(s) : NPU (43 ops)
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```
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## License
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* The license for the original implementation of Facial-Landmark-Detection-Quantized can be found
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[here](https://github.com/pytorch/vision/blob/main/LICENSE).
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* The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)
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