Upload README.md with huggingface_hub

README.md

@@ -35,8 +35,8 @@ 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 | 1.154 ms | 0 - 2 MB | INT8 | NPU |  [Midas-V2-Quantized.tflite](https://huggingface.co/qualcomm/Midas-V2-Quantized/blob/main/Midas-V2-Quantized.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.482 ms | 0 - 275 MB | INT8 | NPU |  [Midas-V2-Quantized.so](https://huggingface.co/qualcomm/Midas-V2-Quantized/blob/main/Midas-V2-Quantized.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.147 ms | 0 - 3 MB | INT8 | NPU |  [Midas-V2-Quantized.tflite](https://huggingface.co/qualcomm/Midas-V2-Quantized/blob/main/Midas-V2-Quantized.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.488 ms | 0 - 65 MB | INT8 | NPU |  [Midas-V2-Quantized.so](https://huggingface.co/qualcomm/Midas-V2-Quantized/blob/main/Midas-V2-Quantized.so) 
 
 
 
@@ -98,10 +98,10 @@ python -m qai_hub_models.models.midas_quantized.export
 ```
 Profile Job summary of Midas-V2-Quantized
 --------------------------------------------------
-Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 1.52 ms
-Estimated Peak Memory Range: 0.46-0.46 MB
-Compute Units: NPU (148) | Total (148)
+Device: SA8255 (Proxy) (13)
+Estimated Inference Time: 1.49 ms
+Estimated Peak Memory Range: 0.02-54.71 MB
+Compute Units: NPU (147) | Total (147)
 
 
 ```