Upload README.md with huggingface_hub

README.md

@@ -31,14 +31,15 @@ More details on model performance across various devices, can be found
   - Input resolution: 2048x1024
   - Number of parameters: 13.9M
   - Model size: 53.1 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 | 16.96 ms | 2 - 4 MB | FP16 | NPU |  [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 17.413 ms | 24 - 44 MB | FP16 | NPU |  [FFNet-40S.so](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 16.917 ms | 2 - 5 MB | FP16 | NPU |  [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 17.383 ms | 26 - 40 MB | FP16 | NPU |  [FFNet-40S.so](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.so) 
 
 
 
@@ -101,8 +102,8 @@ python -m qai_hub_models.models.ffnet_40s.export
 Profile Job summary of FFNet-40S
 --------------------------------------------------
 Device: SA8255 (Proxy) (13)
-Estimated Inference Time: 17.47 ms
-Estimated Peak Memory Range: 24.02-42.00 MB
+Estimated Inference Time: 17.20 ms
+Estimated Peak Memory Range: 24.04-37.86 MB
 Compute Units: NPU (140) | Total (140)