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README.md
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@@ -30,14 +30,15 @@ More details on model performance across various devices, can be found
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- Input resolution: 513x513
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- Number of parameters: 5.80M
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- Model size: 22.2 MB
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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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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 13.
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 12.
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Profile Job summary of DeepLabV3-Plus-MobileNet
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Device: SA8255 (Proxy) (13)
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Estimated Inference Time: 12.
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Estimated Peak Memory Range: 3.
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Compute Units: NPU (124) | Total (124)
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- Input resolution: 513x513
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- Number of parameters: 5.80M
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- Model size: 22.2 MB
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- Number of output classes: 21
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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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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 13.088 ms | 21 - 36 MB | FP16 | NPU | [DeepLabV3-Plus-MobileNet.tflite](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet/blob/main/DeepLabV3-Plus-MobileNet.tflite)
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 12.906 ms | 3 - 18 MB | FP16 | NPU | [DeepLabV3-Plus-MobileNet.so](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet/blob/main/DeepLabV3-Plus-MobileNet.so)
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Profile Job summary of DeepLabV3-Plus-MobileNet
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--------------------------------------------------
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Device: SA8255 (Proxy) (13)
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Estimated Inference Time: 12.94 ms
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Estimated Peak Memory Range: 3.05-18.20 MB
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Compute Units: NPU (124) | Total (124)
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