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® X2 Elite | 3.754 ms | 17 - 17 MB | NPU |
| YOLOv8-Segmentation | ONNX | float | Snapdragon® X Elite | 7.107 ms | 17 - 17 MB | NPU |
| YOLOv8-Segmentation | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 5.953 ms | 17 - 241 MB | NPU |
| YOLOv8-Segmentation | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 12.533 ms | 17 - 221 MB | NPU |
| YOLOv8-Segmentation | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 7.589 ms | 1 - 113 MB | NPU |
| YOLOv8-Segmentation | ONNX | float | Qualcomm® QCS8450 | 12.533 ms | 17 - 221 MB | NPU |
| YOLOv8-Segmentation | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 9.069 ms | 17 - 20 MB | NPU |
| YOLOv8-Segmentation | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 7.107 ms | 17 - 17 MB | NPU |
| YOLOv8-Segmentation | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 4.743 ms | 12 - 203 MB | NPU |
| YOLOv8-Segmentation | ONNX | float | Snapdragon® 8 Elite Mobile | 4.743 ms | 12 - 203 MB | NPU |
| YOLOv8-Segmentation | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 4.257 ms | 12 - 225 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Snapdragon® X2 Elite | 2.885 ms | 5 - 5 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Snapdragon® X Elite | 5.018 ms | 5 - 5 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 3.475 ms | 5 - 213 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 9.4 ms | 5 - 198 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8275 | 17.129 ms | 1 - 181 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4.648 ms | 5 - 112 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Qualcomm® SA8775P | 6.505 ms | 0 - 181 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Qualcomm® SA8650P | 6.505 ms | 0 - 181 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Qualcomm® SA8255P | 6.505 ms | 0 - 181 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Qualcomm® QCS8450 | 9.4 ms | 5 - 198 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 6.253 ms | 5 - 15 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 5.018 ms | 5 - 5 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 2.801 ms | 5 - 185 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Qualcomm® SA7255P | 17.129 ms | 1 - 181 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Qualcomm® SA8295P | 9.391 ms | 0 - 166 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 2.801 ms | 5 - 185 MB | NPU |
| YOLOv8-Segmentation | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.048 ms | 5 - 200 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 3.026 ms | 0 - 108 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 8.65 ms | 4 - 89 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Qualcomm® Dragonwing™ QCS8275 | 16.278 ms | 4 - 82 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4.06 ms | 4 - 6 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Qualcomm® SA8775P | 6.002 ms | 4 - 86 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Qualcomm® SA8650P | 6.002 ms | 4 - 86 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Qualcomm® SA8255P | 6.002 ms | 4 - 86 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Qualcomm® QCS8450 | 8.65 ms | 4 - 89 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 5.714 ms | 4 - 23 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 2.269 ms | 0 - 84 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Qualcomm® SA7255P | 16.278 ms | 4 - 82 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Qualcomm® SA8295P | 8.669 ms | 4 - 60 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Snapdragon® 8 Elite Mobile | 2.269 ms | 0 - 84 MB | NPU |
| YOLOv8-Segmentation | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.881 ms | 0 - 92 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.
