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BGNet

Image Segmentation
PyTorch
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android
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v0.38.0

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See https://github.com/quic/ai-hub-models/releases/v0.38.0 for changelog.

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  1. README.md +28 -31
README.md CHANGED
@@ -36,36 +36,33 @@ More details on model performance across various devices, can be found
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  | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
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  |---|---|---|---|---|---|---|---|---|
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- | BGNet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 117.682 ms | 0 - 136 MB | NPU | -- |
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- | BGNet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 117.208 ms | 2 - 76 MB | NPU | -- |
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- | BGNet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 33.685 ms | 1 - 209 MB | NPU | -- |
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- | BGNet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 37.34 ms | 2 - 62 MB | NPU | -- |
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- | BGNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 22.844 ms | 1 - 28 MB | NPU | -- |
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- | BGNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 20.095 ms | 2 - 30 MB | NPU | -- |
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- | BGNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | ONNX | 21.525 ms | 0 - 183 MB | NPU | -- |
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- | BGNet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 34.605 ms | 0 - 133 MB | NPU | -- |
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- | BGNet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 32.382 ms | 2 - 76 MB | NPU | -- |
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- | BGNet | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 117.682 ms | 0 - 136 MB | NPU | -- |
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- | BGNet | float | SA7255P ADP | Qualcomm® SA7255P | QNN_DLC | 117.208 ms | 2 - 76 MB | NPU | -- |
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- | BGNet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 22.769 ms | 1 - 27 MB | NPU | -- |
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- | BGNet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_DLC | 20.114 ms | 2 - 30 MB | NPU | -- |
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- | BGNet | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 37.564 ms | 1 - 108 MB | NPU | -- |
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- | BGNet | float | SA8295P ADP | Qualcomm® SA8295P | QNN_DLC | 35.747 ms | 2 - 54 MB | NPU | -- |
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- | BGNet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 22.655 ms | 1 - 27 MB | NPU | -- |
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- | BGNet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_DLC | 20.041 ms | 2 - 29 MB | NPU | -- |
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- | BGNet | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 34.605 ms | 0 - 133 MB | NPU | -- |
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- | BGNet | float | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 32.382 ms | 2 - 76 MB | NPU | -- |
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- | BGNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 22.673 ms | 1 - 27 MB | NPU | -- |
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- | BGNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN_DLC | 20.026 ms | 2 - 30 MB | NPU | -- |
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- | BGNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 21.482 ms | 0 - 185 MB | NPU | -- |
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- | BGNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 16.761 ms | 1 - 222 MB | NPU | -- |
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- | BGNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 14.747 ms | 2 - 90 MB | NPU | -- |
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- | BGNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 15.813 ms | 3 - 88 MB | NPU | -- |
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- | BGNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 15.844 ms | 1 - 139 MB | NPU | -- |
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- | BGNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN_DLC | 13.793 ms | 2 - 79 MB | NPU | -- |
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- | BGNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 16.202 ms | 3 - 78 MB | NPU | -- |
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- | BGNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 20.814 ms | 403 - 403 MB | NPU | -- |
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- | BGNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 21.94 ms | 155 - 155 MB | NPU | -- |
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@@ -147,7 +144,7 @@ from qai_hub_models.models.bgnet import Model
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  torch_model = Model.from_pretrained()
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  # Device
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- device = hub.Device("Samsung Galaxy S24")
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  # Trace model
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  input_shape = torch_model.get_input_spec()
 
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  | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
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  |---|---|---|---|---|---|---|---|---|
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+ | BGNet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 117.922 ms | 0 - 139 MB | NPU | -- |
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+ | BGNet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 114.796 ms | 2 - 81 MB | NPU | -- |
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+ | BGNet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 33.186 ms | 0 - 206 MB | NPU | -- |
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+ | BGNet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 37.469 ms | 2 - 69 MB | NPU | -- |
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+ | BGNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 22.834 ms | 1 - 26 MB | NPU | -- |
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+ | BGNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 19.302 ms | 2 - 28 MB | NPU | -- |
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+ | BGNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | ONNX | 18.903 ms | 3 - 27 MB | NPU | -- |
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+ | BGNet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 34.675 ms | 1 - 139 MB | NPU | -- |
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+ | BGNet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 31.508 ms | 2 - 81 MB | NPU | -- |
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+ | BGNet | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 117.922 ms | 0 - 139 MB | NPU | -- |
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+ | BGNet | float | SA7255P ADP | Qualcomm® SA7255P | QNN_DLC | 114.796 ms | 2 - 81 MB | NPU | -- |
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+ | BGNet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 23.08 ms | 1 - 25 MB | NPU | -- |
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+ | BGNet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_DLC | 19.362 ms | 2 - 28 MB | NPU | -- |
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+ | BGNet | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 37.424 ms | 1 - 108 MB | NPU | -- |
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+ | BGNet | float | SA8295P ADP | Qualcomm® SA8295P | QNN_DLC | 35.194 ms | 2 - 56 MB | NPU | -- |
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+ | BGNet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 23.04 ms | 1 - 24 MB | NPU | -- |
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+ | BGNet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_DLC | 19.327 ms | 2 - 28 MB | NPU | -- |
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+ | BGNet | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 34.675 ms | 1 - 139 MB | NPU | -- |
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+ | BGNet | float | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 31.508 ms | 2 - 81 MB | NPU | -- |
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+ | BGNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 16.829 ms | 1 - 224 MB | NPU | -- |
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+ | BGNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 14.115 ms | 2 - 94 MB | NPU | -- |
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+ | BGNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 13.958 ms | 3 - 96 MB | NPU | -- |
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+ | BGNet | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | TFLITE | 14.012 ms | 0 - 141 MB | NPU | -- |
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+ | BGNet | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_DLC | 11.196 ms | 2 - 81 MB | NPU | -- |
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+ | BGNet | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | ONNX | 11.141 ms | 3 - 80 MB | NPU | -- |
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+ | BGNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 19.697 ms | 406 - 406 MB | NPU | -- |
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+ | BGNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 19.253 ms | 154 - 154 MB | NPU | -- |
 
 
 
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  torch_model = Model.from_pretrained()
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  # Device
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+ device = hub.Device("Samsung Galaxy S25")
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  # Trace model
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  input_shape = torch_model.get_input_spec()