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YOLOv11-Detection

Object Detection
PyTorch
real_time
android
Model card Files
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YOLOv11-Detection
File size: 9,814 Bytes
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---
library_name: pytorch
license: other
tags:
- real_time
- android
pipeline_tag: object-detection

---

![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/yolov11_det/web-assets/model_demo.png)

# YOLOv11-Detection: Optimized for Qualcomm Devices

Ultralytics YOLOv11 is a machine learning model that predicts bounding boxes and classes of objects in an image.

This is based on the implementation of YOLOv11-Detection found [here](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/models/yolo/detect).
This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/yolov11_det) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).

Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) 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](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/yolov11_det) 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 [YOLOv11-Detection on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/yolov11_det) for usage instructions.


## Model Details

**Model Type:** Model_use_case.object_detection

**Model Stats:**
- Model checkpoint: YOLO11-N
- Input resolution: 640x640
- Number of parameters: 2.64M
- Model size (float): 10.1 MB
- Model size (w8a8): 2.83 MB
- Model size (w8a16): 3.30 MB

## Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|---|---|---|---|---|---|---
| YOLOv11-Detection | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.668 ms | 0 - 220 MB | NPU
| YOLOv11-Detection | ONNX | float | Snapdragon® X2 Elite | 3.046 ms | 3 - 3 MB | NPU
| YOLOv11-Detection | ONNX | float | Snapdragon® X Elite | 6.595 ms | 5 - 5 MB | NPU
| YOLOv11-Detection | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 4.448 ms | 4 - 265 MB | NPU
| YOLOv11-Detection | ONNX | float | Qualcomm® QCS8550 (Proxy) | 6.068 ms | 5 - 10 MB | NPU
| YOLOv11-Detection | ONNX | float | Qualcomm® QCS9075 | 6.768 ms | 5 - 7 MB | NPU
| YOLOv11-Detection | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 3.043 ms | 0 - 223 MB | NPU
| YOLOv11-Detection | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 2.161 ms | 0 - 81 MB | NPU
| YOLOv11-Detection | ONNX | w8a16 | Snapdragon® X2 Elite | 2.33 ms | 0 - 0 MB | NPU
| YOLOv11-Detection | ONNX | w8a16 | Snapdragon® X Elite | 5.755 ms | 2 - 2 MB | NPU
| YOLOv11-Detection | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 3.25 ms | 0 - 222 MB | NPU
| YOLOv11-Detection | ONNX | w8a16 | Qualcomm® QCS6490 | 339.553 ms | 94 - 99 MB | CPU
| YOLOv11-Detection | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 5.261 ms | 2 - 7 MB | NPU
| YOLOv11-Detection | ONNX | w8a16 | Qualcomm® QCS9075 | 6.036 ms | 2 - 5 MB | NPU
| YOLOv11-Detection | ONNX | w8a16 | Qualcomm® QCM6690 | 164.64 ms | 85 - 94 MB | CPU
| YOLOv11-Detection | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 2.37 ms | 0 - 73 MB | NPU
| YOLOv11-Detection | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 146.447 ms | 101 - 111 MB | CPU
| YOLOv11-Detection | ONNX | w8a8_mixed_int16 | Snapdragon® 8 Elite Gen 5 Mobile | 9.815 ms | 5 - 509 MB | NPU
| YOLOv11-Detection | ONNX | w8a8_mixed_int16 | Snapdragon® X2 Elite | 11.654 ms | 7 - 7 MB | NPU
| YOLOv11-Detection | ONNX | w8a8_mixed_int16 | Snapdragon® X Elite | 17.815 ms | 5 - 5 MB | NPU
| YOLOv11-Detection | ONNX | w8a8_mixed_int16 | Snapdragon® 8 Gen 3 Mobile | 11.783 ms | 5 - 632 MB | NPU
| YOLOv11-Detection | ONNX | w8a8_mixed_int16 | Qualcomm® QCS6490 | 145.762 ms | 63 - 73 MB | CPU
| YOLOv11-Detection | ONNX | w8a8_mixed_int16 | Qualcomm® QCS8550 (Proxy) | 17.455 ms | 4 - 7 MB | NPU
| YOLOv11-Detection | ONNX | w8a8_mixed_int16 | Qualcomm® QCS9075 | 23.74 ms | 4 - 6 MB | NPU
| YOLOv11-Detection | ONNX | w8a8_mixed_int16 | Qualcomm® QCM6690 | 83.512 ms | 55 - 66 MB | CPU
| YOLOv11-Detection | ONNX | w8a8_mixed_int16 | Snapdragon® 8 Elite For Galaxy Mobile | 9.846 ms | 2 - 507 MB | NPU
| YOLOv11-Detection | ONNX | w8a8_mixed_int16 | Snapdragon® 7 Gen 4 Mobile | 75.082 ms | 71 - 83 MB | CPU
| YOLOv11-Detection | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.921 ms | 5 - 198 MB | NPU
| YOLOv11-Detection | QNN_DLC | float | Snapdragon® X2 Elite | 2.658 ms | 5 - 5 MB | NPU
| YOLOv11-Detection | QNN_DLC | float | Snapdragon® X Elite | 4.48 ms | 5 - 5 MB | NPU
| YOLOv11-Detection | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.953 ms | 4 - 214 MB | NPU
| YOLOv11-Detection | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 12.891 ms | 1 - 182 MB | NPU
| YOLOv11-Detection | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 4.076 ms | 5 - 41 MB | NPU
| YOLOv11-Detection | QNN_DLC | float | Qualcomm® SA8775P | 5.422 ms | 0 - 184 MB | NPU
| YOLOv11-Detection | QNN_DLC | float | Qualcomm® QCS9075 | 5.08 ms | 5 - 11 MB | NPU
| YOLOv11-Detection | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 8.53 ms | 5 - 198 MB | NPU
| YOLOv11-Detection | QNN_DLC | float | Qualcomm® SA7255P | 12.891 ms | 1 - 182 MB | NPU
| YOLOv11-Detection | QNN_DLC | float | Qualcomm® SA8295P | 8.841 ms | 0 - 168 MB | NPU
| YOLOv11-Detection | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.31 ms | 0 - 182 MB | NPU
| YOLOv11-Detection | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 1.761 ms | 2 - 184 MB | NPU
| YOLOv11-Detection | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 2.148 ms | 2 - 2 MB | NPU
| YOLOv11-Detection | QNN_DLC | w8a16 | Snapdragon® X Elite | 4.642 ms | 2 - 2 MB | NPU
| YOLOv11-Detection | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 2.947 ms | 2 - 199 MB | NPU
| YOLOv11-Detection | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 7.903 ms | 1 - 174 MB | NPU
| YOLOv11-Detection | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 4.302 ms | 2 - 60 MB | NPU
| YOLOv11-Detection | QNN_DLC | w8a16 | Qualcomm® SA8775P | 4.869 ms | 1 - 178 MB | NPU
| YOLOv11-Detection | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 4.846 ms | 3 - 7 MB | NPU
| YOLOv11-Detection | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 19.364 ms | 2 - 182 MB | NPU
| YOLOv11-Detection | QNN_DLC | w8a16 | Qualcomm® SA7255P | 7.903 ms | 1 - 174 MB | NPU
| YOLOv11-Detection | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 1.916 ms | 2 - 182 MB | NPU
| YOLOv11-Detection | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 4.348 ms | 2 - 181 MB | NPU
| YOLOv11-Detection | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.61 ms | 0 - 89 MB | NPU
| YOLOv11-Detection | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.695 ms | 0 - 106 MB | NPU
| YOLOv11-Detection | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 12.41 ms | 0 - 80 MB | NPU
| YOLOv11-Detection | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 3.719 ms | 0 - 2 MB | NPU
| YOLOv11-Detection | TFLITE | float | Qualcomm® SA8775P | 5.142 ms | 0 - 85 MB | NPU
| YOLOv11-Detection | TFLITE | float | Qualcomm® QCS9075 | 4.769 ms | 0 - 13 MB | NPU
| YOLOv11-Detection | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 7.303 ms | 0 - 80 MB | NPU
| YOLOv11-Detection | TFLITE | float | Qualcomm® SA7255P | 12.41 ms | 0 - 80 MB | NPU
| YOLOv11-Detection | TFLITE | float | Qualcomm® SA8295P | 8.086 ms | 0 - 54 MB | NPU
| YOLOv11-Detection | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.002 ms | 0 - 89 MB | NPU
| YOLOv11-Detection | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.725 ms | 0 - 44 MB | NPU
| YOLOv11-Detection | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.099 ms | 0 - 52 MB | NPU
| YOLOv11-Detection | TFLITE | w8a8 | Qualcomm® QCS6490 | 3.908 ms | 0 - 6 MB | NPU
| YOLOv11-Detection | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 3.388 ms | 0 - 39 MB | NPU
| YOLOv11-Detection | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.63 ms | 0 - 71 MB | NPU
| YOLOv11-Detection | TFLITE | w8a8 | Qualcomm® SA8775P | 2.061 ms | 0 - 43 MB | NPU
| YOLOv11-Detection | TFLITE | w8a8 | Qualcomm® QCS9075 | 1.987 ms | 0 - 6 MB | NPU
| YOLOv11-Detection | TFLITE | w8a8 | Qualcomm® QCM6690 | 7.604 ms | 0 - 165 MB | NPU
| YOLOv11-Detection | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.903 ms | 0 - 54 MB | NPU
| YOLOv11-Detection | TFLITE | w8a8 | Qualcomm® SA7255P | 3.388 ms | 0 - 39 MB | NPU
| YOLOv11-Detection | TFLITE | w8a8 | Qualcomm® SA8295P | 2.452 ms | 0 - 37 MB | NPU
| YOLOv11-Detection | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.81 ms | 0 - 38 MB | NPU
| YOLOv11-Detection | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.686 ms | 0 - 155 MB | NPU

## License
* The license for the original implementation of YOLOv11-Detection can be found
  [here](https://github.com/ultralytics/ultralytics/blob/main/LICENSE).

## References
* [Ultralytics YOLOv11 Docs: Object Detection](https://docs.ultralytics.com/tasks/detect/)
* [Source Model Implementation](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/models/yolo/detect)

## Community
* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
* For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).