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README.md

@@ -36,30 +36,29 @@ More details on model performance across various devices, can be found
 
 | Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
 |---|---|---|---|---|---|---|---|---|
-| EfficientViT-l2-seg | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 22320.423 ms | 24 - 129 MB | FP16 | NPU | [EfficientViT-l2-seg.so](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.so) |
-| EfficientViT-l2-seg | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 1646.642 ms | 4 - 417 MB | FP16 | NPU | [EfficientViT-l2-seg.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.onnx) |
-| EfficientViT-l2-seg | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 16466.939 ms | 24 - 469 MB | FP16 | NPU | [EfficientViT-l2-seg.so](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.so) |
-| EfficientViT-l2-seg | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 1941.249 ms | 133 - 777 MB | FP16 | NPU | [EfficientViT-l2-seg.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.onnx) |
-| EfficientViT-l2-seg | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 15526.488 ms | 0 - 493 MB | FP16 | NPU | Use Export Script |
-| EfficientViT-l2-seg | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 1417.374 ms | 103 - 811 MB | FP16 | NPU | [EfficientViT-l2-seg.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.onnx) |
-| EfficientViT-l2-seg | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 15479.41 ms | 26 - 29 MB | FP16 | NPU | Use Export Script |
-| EfficientViT-l2-seg | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 21636.69 ms | 24 - 271 MB | FP16 | NPU | Use Export Script |
-| EfficientViT-l2-seg | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 16472.568 ms | 24 - 24 MB | FP16 | NPU | Use Export Script |
-| EfficientViT-l2-seg | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 3680.622 ms | 145 - 145 MB | FP16 | NPU | [EfficientViT-l2-seg.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.onnx) |
+| EfficientViT-l2-seg | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 22178.805 ms | 24 - 124 MB | FP16 | NPU | [EfficientViT-l2-seg.so](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.so) |
+| EfficientViT-l2-seg | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 1921.957 ms | 5 - 354 MB | FP16 | NPU | [EfficientViT-l2-seg.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.onnx) |
+| EfficientViT-l2-seg | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 16480.291 ms | 11 - 455 MB | FP16 | NPU | [EfficientViT-l2-seg.so](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.so) |
+| EfficientViT-l2-seg | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 1995.319 ms | 132 - 775 MB | FP16 | NPU | [EfficientViT-l2-seg.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.onnx) |
+| EfficientViT-l2-seg | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 19442.548 ms | 24 - 516 MB | FP16 | NPU | Use Export Script |
+| EfficientViT-l2-seg | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 1445.969 ms | 101 - 809 MB | FP16 | NPU | [EfficientViT-l2-seg.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.onnx) |
+| EfficientViT-l2-seg | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 15540.11 ms | 26 - 30 MB | FP16 | NPU | Use Export Script |
+| EfficientViT-l2-seg | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 21630.243 ms | 16 - 262 MB | FP16 | NPU | Use Export Script |
+| EfficientViT-l2-seg | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 16477.289 ms | 24 - 24 MB | FP16 | NPU | Use Export Script |
+| EfficientViT-l2-seg | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2870.496 ms | 144 - 144 MB | FP16 | NPU | [EfficientViT-l2-seg.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.onnx) |
 
 
 
 
 ## Installation
 
-This model can be installed as a Python package via pip.
 
+Install the package via pip:
 ```bash
-pip install "qai-hub-models[efficientvit_l2_seg]"
+pip install "qai-hub-models[efficientvit-l2-seg]"
 ```
 
 
-
 ## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
 
 Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) with your
@@ -110,8 +109,8 @@ Profiling Results
 EfficientViT-l2-seg
 Device                          : Samsung Galaxy S23 (13)
 Runtime                         : QNN                    
-Estimated inference time (ms)   : 22320.4                
-Estimated peak memory usage (MB): [24, 129]              
+Estimated inference time (ms)   : 22178.8                
+Estimated peak memory usage (MB): [24, 124]              
 Total # Ops                     : 775                    
 Compute Unit(s)                 : NPU (775 ops)          
 ```
@@ -138,7 +137,7 @@ from qai_hub_models.models.efficientvit_l2_seg import Model
 torch_model = Model.from_pretrained()
 
 # Device
-device = hub.Device("Samsung Galaxy S23")
+device = hub.Device("Samsung Galaxy S24")
 
 # Trace model
 input_shape = torch_model.get_input_spec()
@@ -230,7 +229,8 @@ Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
 
 
 ## License
-* The license for the original implementation of EfficientViT-l2-seg can be found [here](https://github.com/CVHub520/efficientvit/blob/main/LICENSE).
+* The license for the original implementation of EfficientViT-l2-seg can be found
+  [here](https://github.com/CVHub520/efficientvit/blob/main/LICENSE).
 * The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)