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README.md

@@ -36,8 +36,8 @@ 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 | 1.387 ms | 0 - 2 MB | FP16 | NPU |  [Posenet-Mobilenet.tflite](https://huggingface.co/qualcomm/Posenet-Mobilenet/blob/main/Posenet-Mobilenet.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.439 ms | 0 - 23 MB | FP16 | NPU |  [Posenet-Mobilenet.so](https://huggingface.co/qualcomm/Posenet-Mobilenet/blob/main/Posenet-Mobilenet.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.412 ms | 0 - 1 MB | FP16 | NPU |  [Posenet-Mobilenet.tflite](https://huggingface.co/qualcomm/Posenet-Mobilenet/blob/main/Posenet-Mobilenet.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.45 ms | 0 - 13 MB | FP16 | NPU |  [Posenet-Mobilenet.so](https://huggingface.co/qualcomm/Posenet-Mobilenet/blob/main/Posenet-Mobilenet.so) 
 
 
 
@@ -99,7 +99,7 @@ python -m qai_hub_models.models.posenet_mobilenet.export
 Profile Job summary of Posenet-Mobilenet
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 1.75 ms
+Estimated Inference Time: 1.55 ms
 Estimated Peak Memory Range: 1.52-1.52 MB
 Compute Units: NPU (69) | Total (69)
 
@@ -126,7 +126,6 @@ from qai_hub_models.models.posenet_mobilenet import Model
 
 # Load the model
 torch_model = Model.from_pretrained()
-torch_model.eval()
 
 # Device
 device = hub.Device("Samsung Galaxy S23")