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FFNet-78S

Image Segmentation
PyTorch
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@@ -1,6 +1,4 @@
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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: bsd-3-clause
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  pipeline_tag: image-segmentation
@@ -37,27 +35,29 @@ More details on model performance across various devices, can be found
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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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- | FFNet-78S | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 23.254 ms | 2 - 4 MB | FP16 | NPU | [FFNet-78S.tflite](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.tflite) |
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- | FFNet-78S | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 23.635 ms | 24 - 48 MB | FP16 | NPU | [FFNet-78S.so](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.so) |
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- | FFNet-78S | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 32.7 ms | 24 - 55 MB | FP16 | NPU | [FFNet-78S.onnx](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.onnx) |
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- | FFNet-78S | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 21.162 ms | 2 - 130 MB | FP16 | NPU | [FFNet-78S.tflite](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.tflite) |
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- | FFNet-78S | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 21.44 ms | 20 - 61 MB | FP16 | NPU | [FFNet-78S.so](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.so) |
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- | FFNet-78S | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 29.103 ms | 2 - 153 MB | FP16 | NPU | [FFNet-78S.onnx](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.onnx) |
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- | FFNet-78S | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 23.104 ms | 2 - 5 MB | FP16 | NPU | [FFNet-78S.tflite](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.tflite) |
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- | FFNet-78S | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 23.037 ms | 24 - 25 MB | FP16 | NPU | Use Export Script |
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- | FFNet-78S | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 23.077 ms | 2 - 5 MB | FP16 | NPU | [FFNet-78S.tflite](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.tflite) |
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- | FFNet-78S | SA8255 (Proxy) | SA8255P Proxy | QNN | 23.073 ms | 24 - 26 MB | FP16 | NPU | Use Export Script |
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- | FFNet-78S | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 23.169 ms | 2 - 4 MB | FP16 | NPU | [FFNet-78S.tflite](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.tflite) |
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- | FFNet-78S | SA8775 (Proxy) | SA8775P Proxy | QNN | 23.407 ms | 24 - 25 MB | FP16 | NPU | Use Export Script |
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- | FFNet-78S | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 23.24 ms | 2 - 4 MB | FP16 | NPU | [FFNet-78S.tflite](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.tflite) |
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- | FFNet-78S | SA8650 (Proxy) | SA8650P Proxy | QNN | 23.501 ms | 24 - 28 MB | FP16 | NPU | Use Export Script |
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- | FFNet-78S | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 39.261 ms | 1 - 108 MB | FP16 | NPU | [FFNet-78S.tflite](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.tflite) |
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- | FFNet-78S | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 39.234 ms | 24 - 58 MB | FP16 | NPU | Use Export Script |
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- | FFNet-78S | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 16.614 ms | 2 - 55 MB | FP16 | NPU | [FFNet-78S.tflite](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.tflite) |
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- | FFNet-78S | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 16.705 ms | 24 - 64 MB | FP16 | NPU | Use Export Script |
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- | FFNet-78S | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 20.857 ms | 26 - 86 MB | FP16 | NPU | [FFNet-78S.onnx](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.onnx) |
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- | FFNet-78S | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 23.035 ms | 24 - 24 MB | FP16 | NPU | Use Export Script |
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- | FFNet-78S | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 36.44 ms | 31 - 31 MB | FP16 | NPU | [FFNet-78S.onnx](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.onnx) |
 
 
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@@ -122,7 +122,7 @@ Profiling Results
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  FFNet-78S
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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- Estimated inference time (ms) : 23.3
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  Estimated peak memory usage (MB): [2, 4]
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  Total # Ops : 149
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  Compute Unit(s) : NPU (149 ops)
 
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  ---
 
 
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  library_name: pytorch
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  license: bsd-3-clause
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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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+ | FFNet-78S | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 22.983 ms | 2 - 4 MB | FP16 | NPU | [FFNet-78S.tflite](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.tflite) |
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+ | FFNet-78S | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 23.327 ms | 24 - 47 MB | FP16 | NPU | [FFNet-78S.so](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.so) |
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+ | FFNet-78S | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 32.682 ms | 24 - 54 MB | FP16 | NPU | [FFNet-78S.onnx](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.onnx) |
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+ | FFNet-78S | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 17.126 ms | 1 - 130 MB | FP16 | NPU | [FFNet-78S.tflite](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.tflite) |
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+ | FFNet-78S | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 17.608 ms | 24 - 64 MB | FP16 | NPU | [FFNet-78S.so](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.so) |
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+ | FFNet-78S | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 24.58 ms | 31 - 183 MB | FP16 | NPU | [FFNet-78S.onnx](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.onnx) |
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+ | FFNet-78S | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 16.482 ms | 2 - 55 MB | FP16 | NPU | [FFNet-78S.tflite](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.tflite) |
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+ | FFNet-78S | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 17.03 ms | 24 - 64 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-78S | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 23.447 ms | 26 - 85 MB | FP16 | NPU | [FFNet-78S.onnx](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.onnx) |
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+ | FFNet-78S | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 23.276 ms | 2 - 5 MB | FP16 | NPU | [FFNet-78S.tflite](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.tflite) |
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+ | FFNet-78S | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 23.009 ms | 24 - 25 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-78S | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 22.945 ms | 2 - 5 MB | FP16 | NPU | [FFNet-78S.tflite](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.tflite) |
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+ | FFNet-78S | SA8255 (Proxy) | SA8255P Proxy | QNN | 23.186 ms | 24 - 25 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-78S | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 23.451 ms | 2 - 5 MB | FP16 | NPU | [FFNet-78S.tflite](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.tflite) |
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+ | FFNet-78S | SA8775 (Proxy) | SA8775P Proxy | QNN | 23.33 ms | 24 - 25 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-78S | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 22.962 ms | 2 - 4 MB | FP16 | NPU | [FFNet-78S.tflite](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.tflite) |
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+ | FFNet-78S | SA8650 (Proxy) | SA8650P Proxy | QNN | 23.285 ms | 24 - 28 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-78S | SA8295P ADP | SA8295P | TFLITE | 44.258 ms | 2 - 44 MB | FP16 | NPU | [FFNet-78S.tflite](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.tflite) |
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+ | FFNet-78S | SA8295P ADP | SA8295P | QNN | 43.319 ms | 24 - 30 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-78S | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 39.273 ms | 2 - 111 MB | FP16 | NPU | [FFNet-78S.tflite](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.tflite) |
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+ | FFNet-78S | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 39.474 ms | 24 - 61 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-78S | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 23.048 ms | 24 - 24 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-78S | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 36.601 ms | 31 - 31 MB | FP16 | NPU | [FFNet-78S.onnx](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.onnx) |
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  FFNet-78S
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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+ Estimated inference time (ms) : 23.0
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  Estimated peak memory usage (MB): [2, 4]
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  Total # Ops : 149
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  Compute Unit(s) : NPU (149 ops)