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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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- backbone
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- real_time
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### Model Details
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- **Model Type:**
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- **Model Stats:**
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- Model checkpoint: unet_carvana_scale1.0_epoch2
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- Input resolution: 224x224
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- Model size: 118 MB
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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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| Unet-Segmentation |
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| Unet-Segmentation |
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| Unet-Segmentation |
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| Unet-Segmentation |
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| Unet-Segmentation |
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| Unet-Segmentation |
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| Unet-Segmentation |
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| Unet-Segmentation |
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| Unet-Segmentation |
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| Unet-Segmentation | SA7255P ADP | SA7255P |
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| Unet-Segmentation |
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| Unet-Segmentation | SA8255 (Proxy) | SA8255P Proxy |
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| Unet-Segmentation |
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| Unet-Segmentation | SA8295P ADP | SA8295P |
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| Unet-Segmentation |
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| Unet-Segmentation | SA8650 (Proxy) | SA8650P Proxy |
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| Unet-Segmentation |
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| Unet-Segmentation | SA8775P ADP | SA8775P |
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| Unet-Segmentation |
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| Unet-Segmentation |
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| Unet-Segmentation |
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| Unet-Segmentation |
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| Unet-Segmentation |
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| Unet-Segmentation |
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| Unet-Segmentation |
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| Unet-Segmentation |
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| Unet-Segmentation |
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| Unet-Segmentation | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 145.
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| Unet-Segmentation | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 153.
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Profiling Results
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------------------------------------------------------------
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Unet-Segmentation
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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): [
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Total # Ops : 32
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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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- backbone
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- real_time
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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: unet_carvana_scale1.0_epoch2
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- Input resolution: 224x224
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- Model size: 118 MB
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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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| Unet-Segmentation | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 959.769 ms | 0 - 85 MB | NPU | [Unet-Segmentation.tflite](https://huggingface.co/qualcomm/Unet-Segmentation/blob/main/Unet-Segmentation.tflite) |
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| Unet-Segmentation | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 953.53 ms | 4 - 14 MB | NPU | Use Export Script |
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| Unet-Segmentation | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 294.466 ms | 6 - 153 MB | NPU | [Unet-Segmentation.tflite](https://huggingface.co/qualcomm/Unet-Segmentation/blob/main/Unet-Segmentation.tflite) |
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| Unet-Segmentation | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 301.944 ms | 9 - 117 MB | NPU | Use Export Script |
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| Unet-Segmentation | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 161.723 ms | 6 - 463 MB | NPU | [Unet-Segmentation.tflite](https://huggingface.co/qualcomm/Unet-Segmentation/blob/main/Unet-Segmentation.tflite) |
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| Unet-Segmentation | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 160.301 ms | 10 - 13 MB | NPU | Use Export Script |
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| Unet-Segmentation | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 258.565 ms | 6 - 91 MB | NPU | [Unet-Segmentation.tflite](https://huggingface.co/qualcomm/Unet-Segmentation/blob/main/Unet-Segmentation.tflite) |
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| Unet-Segmentation | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 253.879 ms | 1 - 13 MB | NPU | Use Export Script |
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| Unet-Segmentation | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 959.769 ms | 0 - 85 MB | NPU | [Unet-Segmentation.tflite](https://huggingface.co/qualcomm/Unet-Segmentation/blob/main/Unet-Segmentation.tflite) |
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| Unet-Segmentation | float | SA7255P ADP | Qualcomm® SA7255P | QNN | 953.53 ms | 4 - 14 MB | NPU | Use Export Script |
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| Unet-Segmentation | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 161.059 ms | 6 - 462 MB | NPU | [Unet-Segmentation.tflite](https://huggingface.co/qualcomm/Unet-Segmentation/blob/main/Unet-Segmentation.tflite) |
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| Unet-Segmentation | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 153.977 ms | 10 - 12 MB | NPU | Use Export Script |
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| Unet-Segmentation | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 286.646 ms | 6 - 93 MB | NPU | [Unet-Segmentation.tflite](https://huggingface.co/qualcomm/Unet-Segmentation/blob/main/Unet-Segmentation.tflite) |
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| Unet-Segmentation | float | SA8295P ADP | Qualcomm® SA8295P | QNN | 277.483 ms | 0 - 18 MB | NPU | Use Export Script |
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| Unet-Segmentation | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 163.936 ms | 6 - 464 MB | NPU | [Unet-Segmentation.tflite](https://huggingface.co/qualcomm/Unet-Segmentation/blob/main/Unet-Segmentation.tflite) |
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| Unet-Segmentation | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 152.948 ms | 11 - 14 MB | NPU | Use Export Script |
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| Unet-Segmentation | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 258.565 ms | 6 - 91 MB | NPU | [Unet-Segmentation.tflite](https://huggingface.co/qualcomm/Unet-Segmentation/blob/main/Unet-Segmentation.tflite) |
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| Unet-Segmentation | float | SA8775P ADP | Qualcomm® SA8775P | QNN | 253.879 ms | 1 - 13 MB | NPU | Use Export Script |
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| Unet-Segmentation | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 162.184 ms | 6 - 462 MB | NPU | [Unet-Segmentation.tflite](https://huggingface.co/qualcomm/Unet-Segmentation/blob/main/Unet-Segmentation.tflite) |
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| Unet-Segmentation | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 155.536 ms | 8 - 45 MB | NPU | Use Export Script |
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| Unet-Segmentation | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 166.412 ms | 13 - 221 MB | NPU | [Unet-Segmentation.onnx](https://huggingface.co/qualcomm/Unet-Segmentation/blob/main/Unet-Segmentation.onnx) |
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| Unet-Segmentation | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 120.562 ms | 4 - 130 MB | NPU | [Unet-Segmentation.tflite](https://huggingface.co/qualcomm/Unet-Segmentation/blob/main/Unet-Segmentation.tflite) |
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| Unet-Segmentation | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 116.097 ms | 9 - 110 MB | NPU | Use Export Script |
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| Unet-Segmentation | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 123.289 ms | 22 - 114 MB | NPU | [Unet-Segmentation.onnx](https://huggingface.co/qualcomm/Unet-Segmentation/blob/main/Unet-Segmentation.onnx) |
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| Unet-Segmentation | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 102.884 ms | 5 - 91 MB | NPU | [Unet-Segmentation.tflite](https://huggingface.co/qualcomm/Unet-Segmentation/blob/main/Unet-Segmentation.tflite) |
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| Unet-Segmentation | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 107.411 ms | 9 - 109 MB | NPU | Use Export Script |
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| Unet-Segmentation | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 110.866 ms | 21 - 112 MB | NPU | [Unet-Segmentation.onnx](https://huggingface.co/qualcomm/Unet-Segmentation/blob/main/Unet-Segmentation.onnx) |
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| Unet-Segmentation | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 145.676 ms | 9 - 9 MB | NPU | Use Export Script |
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| Unet-Segmentation | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 153.193 ms | 54 - 54 MB | NPU | [Unet-Segmentation.onnx](https://huggingface.co/qualcomm/Unet-Segmentation/blob/main/Unet-Segmentation.onnx) |
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Profiling Results
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------------------------------------------------------------
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Unet-Segmentation
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Device : cs_8275 (ANDROID 14)
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Runtime : TFLITE
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Estimated inference time (ms) : 959.8
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Estimated peak memory usage (MB): [0, 85]
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Total # Ops : 32
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Compute Unit(s) : npu (32 ops) gpu (0 ops) cpu (0 ops)
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```
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