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Upload README.md with huggingface_hub

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@@ -38,10 +38,10 @@ More details on model performance across various devices, can be found
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  | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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  | ---|---|---|---|---|---|---|---|
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.25 ms | 0 - 1 MB | FP16 | NPU | [MediaPipeFaceDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Face-Detection-Quantized/blob/main/MediaPipeFaceDetector.tflite)
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.153 ms | 0 - 36 MB | FP16 | NPU | [MediaPipeFaceLandmarkDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Face-Detection-Quantized/blob/main/MediaPipeFaceLandmarkDetector.tflite)
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.295 ms | 0 - 45 MB | FP16 | NPU | [MediaPipeFaceDetector.so](https://huggingface.co/qualcomm/MediaPipe-Face-Detection-Quantized/blob/main/MediaPipeFaceDetector.so)
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.208 ms | 0 - 10 MB | FP16 | NPU | [MediaPipeFaceLandmarkDetector.so](https://huggingface.co/qualcomm/MediaPipe-Face-Detection-Quantized/blob/main/MediaPipeFaceLandmarkDetector.so)
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@@ -103,15 +103,15 @@ python -m qai_hub_models.models.mediapipe_face_quantized.export
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  Profile Job summary of MediaPipeFaceDetector
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  --------------------------------------------------
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  Device: Snapdragon X Elite CRD (11)
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- Estimated Inference Time: 0.41 ms
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- Estimated Peak Memory Range: 0.53-0.53 MB
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  Compute Units: NPU (118) | Total (118)
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  Profile Job summary of MediaPipeFaceLandmarkDetector
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  --------------------------------------------------
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  Device: Snapdragon X Elite CRD (11)
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- Estimated Inference Time: 0.38 ms
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- Estimated Peak Memory Range: 0.60-0.60 MB
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  Compute Units: NPU (112) | Total (112)
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  | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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  | ---|---|---|---|---|---|---|---|
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.274 ms | 0 - 1 MB | FP16 | NPU | [MediaPipeFaceDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Face-Detection-Quantized/blob/main/MediaPipeFaceDetector.tflite)
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.184 ms | 0 - 16 MB | FP16 | NPU | [MediaPipeFaceLandmarkDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Face-Detection-Quantized/blob/main/MediaPipeFaceLandmarkDetector.tflite)
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.3 ms | 0 - 5 MB | FP16 | NPU | [MediaPipeFaceDetector.so](https://huggingface.co/qualcomm/MediaPipe-Face-Detection-Quantized/blob/main/MediaPipeFaceDetector.so)
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.219 ms | 0 - 3 MB | FP16 | NPU | [MediaPipeFaceLandmarkDetector.so](https://huggingface.co/qualcomm/MediaPipe-Face-Detection-Quantized/blob/main/MediaPipeFaceLandmarkDetector.so)
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  Profile Job summary of MediaPipeFaceDetector
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  --------------------------------------------------
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  Device: Snapdragon X Elite CRD (11)
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+ Estimated Inference Time: 0.43 ms
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+ Estimated Peak Memory Range: 0.45-0.45 MB
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  Compute Units: NPU (118) | Total (118)
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  Profile Job summary of MediaPipeFaceLandmarkDetector
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  --------------------------------------------------
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  Device: Snapdragon X Elite CRD (11)
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+ Estimated Inference Time: 0.33 ms
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+ Estimated Peak Memory Range: 0.56-0.56 MB
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  Compute Units: NPU (112) | Total (112)
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