YOLOv8-Segmentation: Optimized for Qualcomm Devices
Ultralytics YOLOv8 is a machine learning model that predicts bounding boxes, segmentation masks and classes of objects in an image.
This is based on the implementation of YOLOv8-Segmentation found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.
Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.
Getting Started
Due to licensing restrictions, we cannot distribute pre-exported model assets for this model. Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:
- Custom weights (e.g., fine-tuned checkpoints)
- Custom input shapes
- Target device and runtime configurations
See our repository for YOLOv8-Segmentation on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.semantic_segmentation
Model Stats:
- Model checkpoint: YOLOv8N-Seg
- Input resolution: 640x640
- Number of output classes: 80
- Number of parameters: 3.43M
- Model size (float): 13.2 MB
- Model size (w8a16): 3.91 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| YOLOv8-Segmentation | ONNX | float | Snapdragon® X Elite | 6.013 ms | 17 - 17 MB | NPU |
| YOLOv8-Segmentation | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 3.989 ms | 17 - 226 MB | NPU |
| YOLOv8-Segmentation | ONNX | float | Qualcomm® QCS8550 (Proxy) | 5.897 ms | 0 - 43 MB | NPU |
| YOLOv8-Segmentation | ONNX | float | Qualcomm® QCS9075 | 8.08 ms | 13 - 16 MB | NPU |
| YOLOv8-Segmentation | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 3.285 ms | 0 - 155 MB | NPU |
| YOLOv8-Segmentation | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.759 ms | 0 - 156 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Snapdragon® X Elite | 4.912 ms | 5 - 5 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 3.339 ms | 5 - 261 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 16.912 ms | 1 - 200 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 4.548 ms | 5 - 7 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Qualcomm® SA8775P | 6.278 ms | 1 - 203 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Qualcomm® QCS9075 | 6.029 ms | 5 - 15 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 9.835 ms | 5 - 199 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Qualcomm® SA7255P | 16.912 ms | 1 - 200 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Qualcomm® SA8295P | 9.2 ms | 2 - 166 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.648 ms | 0 - 198 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.927 ms | 5 - 203 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | w8a16 | Snapdragon® X Elite | 4.296 ms | 2 - 2 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 2.574 ms | 2 - 84 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 11.362 ms | 3 - 9 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 7.868 ms | 0 - 57 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 3.839 ms | 2 - 4 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | w8a16 | Qualcomm® SA8775P | 4.516 ms | 0 - 61 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 4.414 ms | 1 - 7 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 27.628 ms | 2 - 179 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 4.796 ms | 2 - 82 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | w8a16 | Qualcomm® SA7255P | 7.868 ms | 0 - 57 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | w8a16 | Qualcomm® SA8295P | 5.183 ms | 1 - 57 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 1.787 ms | 2 - 64 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 4.64 ms | 2 - 178 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 1.416 ms | 2 - 65 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.941 ms | 0 - 176 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 16.176 ms | 4 - 107 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 3.981 ms | 0 - 2 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Qualcomm® SA8775P | 23.252 ms | 4 - 108 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Qualcomm® QCS9075 | 5.765 ms | 4 - 23 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 8.896 ms | 4 - 204 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Qualcomm® SA7255P | 16.176 ms | 4 - 107 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Qualcomm® SA8295P | 8.553 ms | 4 - 174 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.227 ms | 0 - 111 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.772 ms | 0 - 127 MB | NPU |
License
- The license for the original implementation of YOLOv8-Segmentation can be found here.
References
Community
- Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
- For questions or feedback please reach out to us.