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@@ -35,8 +35,8 @@ More details on model performance across various devices, can be found
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  | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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  | ---|---|---|---|---|---|---|---|
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 3.523 ms | 0 - 2 MB | INT8 | NPU | [DeepLabV3-Plus-MobileNet-Quantized.tflite](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet-Quantized/blob/main/DeepLabV3-Plus-MobileNet-Quantized.tflite)
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 5.308 ms | 1 - 9 MB | INT8 | NPU | [DeepLabV3-Plus-MobileNet-Quantized.so](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet-Quantized/blob/main/DeepLabV3-Plus-MobileNet-Quantized.so)
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  ## Installation
@@ -96,16 +96,9 @@ python -m qai_hub_models.models.deeplabv3_plus_mobilenet_quantized.export
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  ```
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  Profile Job summary of DeepLabV3-Plus-MobileNet-Quantized
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  --------------------------------------------------
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- Device: QCS8550 (Proxy) (12)
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- Estimated Inference Time: 3.53 ms
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- Estimated Peak Memory Range: 0.01-16.76 MB
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- Compute Units: NPU (99) | Total (99)
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-
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- Profile Job summary of DeepLabV3-Plus-MobileNet-Quantized
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- --------------------------------------------------
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- Device: QCS8550 (Proxy) (12)
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- Estimated Inference Time: 5.30 ms
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- Estimated Peak Memory Range: 0.79-13.51 MB
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  Compute Units: NPU (100) | Total (100)
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  | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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  | ---|---|---|---|---|---|---|---|
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 3.349 ms | 0 - 2 MB | INT8 | NPU | [DeepLabV3-Plus-MobileNet-Quantized.tflite](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet-Quantized/blob/main/DeepLabV3-Plus-MobileNet-Quantized.tflite)
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 5.37 ms | 1 - 8 MB | INT8 | NPU | [DeepLabV3-Plus-MobileNet-Quantized.so](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet-Quantized/blob/main/DeepLabV3-Plus-MobileNet-Quantized.so)
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  ## Installation
 
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  ```
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  Profile Job summary of DeepLabV3-Plus-MobileNet-Quantized
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  --------------------------------------------------
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+ Device: Snapdragon X Elite CRD (11)
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+ Estimated Inference Time: 5.34 ms
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+ Estimated Peak Memory Range: 0.75-0.75 MB
 
 
 
 
 
 
 
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  Compute Units: NPU (100) | Total (100)
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