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README.md
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@@ -32,13 +32,14 @@ More details on model performance across various devices, can be found
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- Input resolution: 2048x1024
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- Number of parameters: 5.69M
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- Model size: 21.7 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 | 5.
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- Input resolution: 2048x1024
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- Number of parameters: 5.69M
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- Model size: 21.7 MB
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- Number of output classes: 19
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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 | 5.108 ms | 1 - 4 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite)
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