Upload README.md with huggingface_hub

README.md

@@ -32,8 +32,8 @@ More details on model performance across various devices, can be found
 
 | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
 | ---|---|---|---|---|---|---|---|
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.338 ms | 0 - 1 MB | FP16 | NPU |  [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.025 ms | 0 - 36 MB | FP16 | NPU |  [QuickSRNetSmall.so](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.324 ms | 0 - 15 MB | FP16 | NPU |  [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.01 ms | 0 - 8 MB | FP16 | NPU |  [QuickSRNetSmall.so](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.so) 
 
 
 ## Installation
@@ -94,16 +94,16 @@ python -m qai_hub_models.models.quicksrnetsmall.export
 Profile Job summary of QuickSRNetSmall
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 0.84 ms
-Estimated Peak Memory Range: 0.02-16.95 MB
+Estimated Inference Time: 0.94 ms
+Estimated Peak Memory Range: 0.02-17.17 MB
 Compute Units: NPU (8),CPU (3) | Total (11)
 
 Profile Job summary of QuickSRNetSmall
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
 Estimated Inference Time: 0.62 ms
-Estimated Peak Memory Range: 0.20-13.35 MB
-Compute Units: NPU (12) | Total (12)
+Estimated Peak Memory Range: 0.22-13.52 MB
+Compute Units: NPU (11) | Total (11)
 
 
 ```