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README.md

@@ -35,33 +35,33 @@ 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
 |---|---|---|---|---|---|---|---|---|
-| ResNet-2Plus1D | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 116.337 ms | 4 - 601 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
-| ResNet-2Plus1D | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 14.065 ms | 0 - 200 MB | FP16 | NPU | [ResNet-2Plus1D.onnx](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.onnx) |
-| ResNet-2Plus1D | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 87.809 ms | 28 - 69 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
-| ResNet-2Plus1D | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 10.458 ms | 2 - 61 MB | FP16 | NPU | [ResNet-2Plus1D.onnx](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.onnx) |
-| ResNet-2Plus1D | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 104.072 ms | 27 - 64 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
-| ResNet-2Plus1D | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 10.015 ms | 2 - 59 MB | FP16 | NPU | [ResNet-2Plus1D.onnx](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.onnx) |
-| ResNet-2Plus1D | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 116.778 ms | 4 - 604 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
-| ResNet-2Plus1D | SA7255P ADP | SA7255P | TFLITE | 826.709 ms | 28 - 63 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
-| ResNet-2Plus1D | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 115.504 ms | 4 - 604 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
-| ResNet-2Plus1D | SA8295P ADP | SA8295P | TFLITE | 143.259 ms | 28 - 66 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
-| ResNet-2Plus1D | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 115.149 ms | 4 - 614 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
-| ResNet-2Plus1D | SA8775P ADP | SA8775P | TFLITE | 156.336 ms | 28 - 63 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
-| ResNet-2Plus1D | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 127.438 ms | 28 - 69 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 116.022 ms | 4 - 601 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 14.287 ms | 0 - 147 MB | FP16 | NPU | [ResNet-2Plus1D.onnx](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.onnx) |
+| ResNet-2Plus1D | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 90.026 ms | 27 - 66 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 10.487 ms | 2 - 62 MB | FP16 | NPU | [ResNet-2Plus1D.onnx](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.onnx) |
+| ResNet-2Plus1D | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 87.279 ms | 27 - 67 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 8.446 ms | 2 - 62 MB | FP16 | NPU | [ResNet-2Plus1D.onnx](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.onnx) |
+| ResNet-2Plus1D | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 116.79 ms | 4 - 605 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | SA7255P ADP | SA7255P | TFLITE | 828.253 ms | 28 - 63 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 117.896 ms | 4 - 604 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | SA8295P ADP | SA8295P | TFLITE | 142.683 ms | 28 - 65 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 116.463 ms | 0 - 601 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | SA8775P ADP | SA8775P | TFLITE | 156.295 ms | 28 - 64 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 129.52 ms | 28 - 71 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 14.848 ms | 62 - 62 MB | FP16 | NPU | [ResNet-2Plus1D.onnx](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.onnx) |
 
 
 
 
 ## Installation
 
-This model can be installed as a Python package via pip.
 
+Install the package via pip:
 ```bash
-pip install "qai-hub-models[resnet_2plus1d]"
+pip install "qai-hub-models[resnet-2plus1d]"
 ```
 
 
-
 ## 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
@@ -112,7 +112,7 @@ Profiling Results
 ResNet-2Plus1D
 Device                          : Samsung Galaxy S23 (13) 
 Runtime                         : TFLITE                  
-Estimated inference time (ms)   : 116.3                   
+Estimated inference time (ms)   : 116.0                   
 Estimated peak memory usage (MB): [4, 601]                
 Total # Ops                     : 92                      
 Compute Unit(s)                 : NPU (84 ops) CPU (8 ops)
@@ -140,7 +140,7 @@ from qai_hub_models.models.resnet_2plus1d 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()
@@ -218,7 +218,8 @@ Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
 
 
 ## License
-* The license for the original implementation of ResNet-2Plus1D can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
+* The license for the original implementation of ResNet-2Plus1D can be found
+  [here](https://github.com/pytorch/vision/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)