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README.md
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---
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library_name: pytorch
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license:
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tags:
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- android
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pipeline_tag: image-segmentation
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### Model Details
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- **Model Type:**
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- **Model Stats:**
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- Model checkpoint: SINet.pth
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- Input resolution: 224x224
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- Model size: 430 KB
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- Number of output classes: 2 (foreground / background)
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| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) |
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|---|---|---|---|---|---|---|---|---|
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| SINet |
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| SINet |
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| SINet |
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| SINet |
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| SINet |
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| SINet |
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| SINet |
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| SINet |
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| SINet |
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| SINet | SA7255P ADP | SA7255P |
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| SINet |
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| SINet | SA8255 (Proxy) | SA8255P Proxy |
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| SINet |
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| SINet | SA8295P ADP | SA8295P |
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| SINet |
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| SINet | SA8650 (Proxy) | SA8650P Proxy |
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| SINet |
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| SINet | SA8775P ADP | SA8775P |
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| SINet |
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| SINet |
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| SINet |
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| SINet |
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| SINet |
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| SINet |
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| SINet |
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| SINet |
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| SINet |
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| SINet | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.
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| SINet | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.
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Profiling Results
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------------------------------------------------------------
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SINet
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Device :
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Runtime : TFLITE
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Estimated inference time (ms) :
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Estimated peak memory usage (MB): [0,
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Total # Ops : 222
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Compute Unit(s) :
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```
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---
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library_name: pytorch
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license: other
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tags:
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- android
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pipeline_tag: image-segmentation
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### Model Details
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- **Model Type:** Model_use_case.semantic_segmentation
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- **Model Stats:**
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- Model checkpoint: SINet.pth
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- Input resolution: 224x224
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- Model size: 430 KB
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- Number of output classes: 2 (foreground / background)
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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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| SINet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 3.824 ms | 0 - 15 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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| SINet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 3.569 ms | 1 - 10 MB | NPU | Use Export Script |
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| SINet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 1.932 ms | 0 - 21 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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| SINet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 2.513 ms | 1 - 35 MB | NPU | Use Export Script |
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| SINet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 1.7 ms | 0 - 7 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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| SINet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 1.627 ms | 1 - 4 MB | NPU | Use Export Script |
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| SINet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 2.21 ms | 0 - 17 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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| SINet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 2.129 ms | 1 - 15 MB | NPU | Use Export Script |
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| SINet | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 3.824 ms | 0 - 15 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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| SINet | float | SA7255P ADP | Qualcomm® SA7255P | QNN | 3.569 ms | 1 - 10 MB | NPU | Use Export Script |
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| SINet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 1.699 ms | 0 - 6 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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| SINet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 1.654 ms | 1 - 4 MB | NPU | Use Export Script |
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| SINet | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 2.38 ms | 0 - 18 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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| SINet | float | SA8295P ADP | Qualcomm® SA8295P | QNN | 2.37 ms | 0 - 18 MB | NPU | Use Export Script |
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| SINet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 1.706 ms | 0 - 6 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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| SINet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 1.641 ms | 1 - 3 MB | NPU | Use Export Script |
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| SINet | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 2.21 ms | 0 - 17 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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| SINet | float | SA8775P ADP | Qualcomm® SA8775P | QNN | 2.129 ms | 1 - 15 MB | NPU | Use Export Script |
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| SINet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 1.71 ms | 0 - 6 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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| SINet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 1.666 ms | 1 - 8 MB | NPU | Use Export Script |
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| SINet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 2.264 ms | 0 - 9 MB | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
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| SINet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 1.154 ms | 0 - 31 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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| SINet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 1.117 ms | 0 - 28 MB | NPU | Use Export Script |
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| SINet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 1.51 ms | 0 - 32 MB | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
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| SINet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 1.054 ms | 0 - 19 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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| SINet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 1.005 ms | 1 - 23 MB | NPU | Use Export Script |
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| SINet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 1.533 ms | 1 - 20 MB | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
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| SINet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.909 ms | 1 - 1 MB | NPU | Use Export Script |
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| SINet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.415 ms | 2 - 2 MB | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
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Profiling Results
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------------------------------------------------------------
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SINet
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Device : cs_8275 (ANDROID 14)
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Runtime : TFLITE
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Estimated inference time (ms) : 3.8
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Estimated peak memory usage (MB): [0, 15]
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Total # Ops : 222
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Compute Unit(s) : npu (222 ops) gpu (0 ops) cpu (0 ops)
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```
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