Upload README.md with huggingface_hub

README.md

@@ -30,14 +30,15 @@ More details on model performance across various devices, can be found
   - Input resolution: 2048x1024
   - Number of parameters: 18.0M
   - Model size: 68.8 MB
+  - Number of output classes: 19
 
 
 
 
 | 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 | 20.186 ms | 2 - 4 MB | FP16 | NPU |  [FFNet-54S.tflite](https://huggingface.co/qualcomm/FFNet-54S/blob/main/FFNet-54S.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 20.279 ms | 24 - 43 MB | FP16 | NPU |  [FFNet-54S.so](https://huggingface.co/qualcomm/FFNet-54S/blob/main/FFNet-54S.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 20.654 ms | 2 - 5 MB | FP16 | NPU |  [FFNet-54S.tflite](https://huggingface.co/qualcomm/FFNet-54S/blob/main/FFNet-54S.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 20.395 ms | 24 - 40 MB | FP16 | NPU |  [FFNet-54S.so](https://huggingface.co/qualcomm/FFNet-54S/blob/main/FFNet-54S.so) 
 
 
 
@@ -99,9 +100,9 @@ python -m qai_hub_models.models.ffnet_54s.export
 ```
 Profile Job summary of FFNet-54S
 --------------------------------------------------
-Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 20.20 ms
-Estimated Peak Memory Range: 24.05-24.05 MB
+Device: SA8255 (Proxy) (13)
+Estimated Inference Time: 20.07 ms
+Estimated Peak Memory Range: 24.03-39.14 MB
 Compute Units: NPU (175) | Total (175)