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DDRNet23-Slim

Image Segmentation
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real_time
android
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  ---
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- datasets:
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- - cityscapes
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  library_name: pytorch
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  license: mit
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  pipeline_tag: image-segmentation
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  | Model | 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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- | DDRNet23-Slim | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 5.215 ms | 2 - 4 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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- | DDRNet23-Slim | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 7.422 ms | 11 - 13 MB | FP16 | NPU | [DDRNet23-Slim.onnx](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.onnx) |
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- | DDRNet23-Slim | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 4.002 ms | 1 - 76 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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- | DDRNet23-Slim | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 5.648 ms | 0 - 90 MB | FP16 | NPU | [DDRNet23-Slim.onnx](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.onnx) |
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- | DDRNet23-Slim | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 5.072 ms | 1 - 3 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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- | DDRNet23-Slim | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 5.15 ms | 0 - 2 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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- | DDRNet23-Slim | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 5.152 ms | 1 - 3 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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- | DDRNet23-Slim | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 5.027 ms | 1 - 3 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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- | DDRNet23-Slim | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 7.487 ms | 1 - 64 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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- | DDRNet23-Slim | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 3.419 ms | 1 - 39 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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- | DDRNet23-Slim | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 5.009 ms | 11 - 56 MB | FP16 | NPU | [DDRNet23-Slim.onnx](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.onnx) |
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- | DDRNet23-Slim | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 8.333 ms | 9 - 9 MB | FP16 | NPU | [DDRNet23-Slim.onnx](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.onnx) |
 
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@@ -114,8 +113,8 @@ Profiling Results
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  DDRNet23-Slim
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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- Estimated inference time (ms) : 5.2
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- Estimated peak memory usage (MB): [2, 4]
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  Total # Ops : 131
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  Compute Unit(s) : NPU (131 ops)
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  ```
 
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  ---
 
 
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  library_name: pytorch
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  license: mit
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  pipeline_tag: image-segmentation
 
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  | Model | 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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+ | DDRNet23-Slim | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 5.017 ms | 1 - 8 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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+ | DDRNet23-Slim | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 7.345 ms | 9 - 219 MB | FP16 | NPU | [DDRNet23-Slim.onnx](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.onnx) |
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+ | DDRNet23-Slim | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 3.513 ms | 1 - 77 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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+ | DDRNet23-Slim | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 5.149 ms | 11 - 102 MB | FP16 | NPU | [DDRNet23-Slim.onnx](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.onnx) |
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+ | DDRNet23-Slim | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 3.467 ms | 0 - 38 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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+ | DDRNet23-Slim | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 5.007 ms | 11 - 56 MB | FP16 | NPU | [DDRNet23-Slim.onnx](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.onnx) |
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+ | DDRNet23-Slim | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 5.026 ms | 0 - 167 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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+ | DDRNet23-Slim | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 5.125 ms | 1 - 208 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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+ | DDRNet23-Slim | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 5.076 ms | 1 - 3 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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+ | DDRNet23-Slim | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 5.163 ms | 1 - 5 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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+ | DDRNet23-Slim | SA8295P ADP | SA8295P | TFLITE | 8.868 ms | 1 - 30 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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+ | DDRNet23-Slim | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 7.453 ms | 1 - 65 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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+ | DDRNet23-Slim | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 8.346 ms | 9 - 9 MB | FP16 | NPU | [DDRNet23-Slim.onnx](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.onnx) |
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  DDRNet23-Slim
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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+ Estimated inference time (ms) : 5.0
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+ Estimated peak memory usage (MB): [1, 8]
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  Total # Ops : 131
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  Compute Unit(s) : NPU (131 ops)
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  ```