--- 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 Mobile Deployment ## Real-time object detection optimized for mobile and edge by Ultralytics Ultralytics YOLOv11 is a machine learning model that predicts bounding boxes and classes of objects in an image. This model is an implementation of YOLOv11-Detection found [here](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/models/yolo/detect). More details on model performance across various devices, can be found [here](https://aihub.qualcomm.com/models/yolov11_det). ### Model Details - **Model Type:** Model_use_case.object_detection - **Model Stats:** - Model checkpoint: YOLO11-N - Input resolution: 640x640 - Number of parameters: None - Model size (float): None - Model size (w8a8): 2.83 MB | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model |---|---|---|---|---|---|---|---|---| | YOLOv11-Detection | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 16.257 ms | 0 - 26 MB | NPU | -- | | YOLOv11-Detection | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 12.966 ms | 0 - 10 MB | NPU | -- | | YOLOv11-Detection | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 9.546 ms | 0 - 35 MB | NPU | -- | | YOLOv11-Detection | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 7.812 ms | 5 - 37 MB | NPU | -- | | YOLOv11-Detection | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 5.942 ms | 0 - 11 MB | NPU | -- | | YOLOv11-Detection | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 4.296 ms | 5 - 8 MB | NPU | -- | | YOLOv11-Detection | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 5.601 ms | 2 - 16 MB | NPU | -- | | YOLOv11-Detection | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 16.257 ms | 0 - 26 MB | NPU | -- | | YOLOv11-Detection | float | SA7255P ADP | Qualcomm® SA7255P | QNN | 12.966 ms | 0 - 10 MB | NPU | -- | | YOLOv11-Detection | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 6.006 ms | 0 - 12 MB | NPU | -- | | YOLOv11-Detection | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 4.281 ms | 5 - 8 MB | NPU | -- | | YOLOv11-Detection | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 10.378 ms | 0 - 25 MB | NPU | -- | | YOLOv11-Detection | float | SA8295P ADP | Qualcomm® SA8295P | QNN | 8.367 ms | 0 - 16 MB | NPU | -- | | YOLOv11-Detection | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 6.12 ms | 0 - 11 MB | NPU | -- | | YOLOv11-Detection | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 4.331 ms | 5 - 7 MB | NPU | -- | | YOLOv11-Detection | float | SA8775P ADP | Qualcomm® SA8775P | QNN | 5.601 ms | 2 - 16 MB | NPU | -- | | YOLOv11-Detection | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 5.972 ms | 0 - 11 MB | NPU | -- | | YOLOv11-Detection | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 4.286 ms | 5 - 17 MB | NPU | -- | | YOLOv11-Detection | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 5.506 ms | 5 - 33 MB | NPU | -- | | YOLOv11-Detection | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 4.341 ms | 0 - 36 MB | NPU | -- | | YOLOv11-Detection | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 2.967 ms | 0 - 42 MB | NPU | -- | | YOLOv11-Detection | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 3.814 ms | 5 - 56 MB | NPU | -- | | YOLOv11-Detection | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 3.598 ms | 0 - 32 MB | NPU | -- | | YOLOv11-Detection | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 2.772 ms | 5 - 40 MB | NPU | -- | | YOLOv11-Detection | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 2.911 ms | 2 - 43 MB | NPU | -- | | YOLOv11-Detection | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 4.734 ms | 5 - 5 MB | NPU | -- | | YOLOv11-Detection | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 6.086 ms | 5 - 5 MB | NPU | -- | | YOLOv11-Detection | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 11.486 ms | 0 - 37 MB | NPU | -- | | YOLOv11-Detection | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 8.462 ms | 3 - 79 MB | NPU | -- | | YOLOv11-Detection | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 7.747 ms | 3 - 79 MB | NPU | -- | | YOLOv11-Detection | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 12.272 ms | 2 - 2 MB | NPU | -- | | YOLOv11-Detection | w8a8 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 3.708 ms | 0 - 22 MB | NPU | -- | | YOLOv11-Detection | w8a8 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 3.651 ms | 1 - 10 MB | NPU | -- | | YOLOv11-Detection | w8a8 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 2.121 ms | 0 - 36 MB | NPU | -- | | YOLOv11-Detection | w8a8 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 2.252 ms | 1 - 36 MB | NPU | -- | | YOLOv11-Detection | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 1.817 ms | 0 - 10 MB | NPU | -- | | YOLOv11-Detection | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 1.831 ms | 1 - 4 MB | NPU | -- | | YOLOv11-Detection | w8a8 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 2.268 ms | 0 - 24 MB | NPU | -- | | YOLOv11-Detection | w8a8 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 2.3 ms | 1 - 15 MB | NPU | -- | | YOLOv11-Detection | w8a8 | RB3 Gen 2 (Proxy) | Qualcomm® QCS6490 (Proxy) | TFLITE | 4.207 ms | 0 - 32 MB | NPU | -- | | YOLOv11-Detection | w8a8 | RB3 Gen 2 (Proxy) | Qualcomm® QCS6490 (Proxy) | QNN | 5.951 ms | 1 - 12 MB | NPU | -- | | YOLOv11-Detection | w8a8 | RB5 (Proxy) | Qualcomm® QCS8250 (Proxy) | TFLITE | 69.626 ms | 1 - 11 MB | NPU | -- | | YOLOv11-Detection | w8a8 | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 3.708 ms | 0 - 22 MB | NPU | -- | | YOLOv11-Detection | w8a8 | SA7255P ADP | Qualcomm® SA7255P | QNN | 3.651 ms | 1 - 10 MB | NPU | -- | | YOLOv11-Detection | w8a8 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 1.83 ms | 0 - 11 MB | NPU | -- | | YOLOv11-Detection | w8a8 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 1.832 ms | 1 - 4 MB | NPU | -- | | YOLOv11-Detection | w8a8 | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 2.655 ms | 0 - 24 MB | NPU | -- | | YOLOv11-Detection | w8a8 | SA8295P ADP | Qualcomm® SA8295P | QNN | 2.596 ms | 1 - 21 MB | NPU | -- | | YOLOv11-Detection | w8a8 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 1.842 ms | 0 - 10 MB | NPU | -- | | YOLOv11-Detection | w8a8 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 1.84 ms | 1 - 4 MB | NPU | -- | | YOLOv11-Detection | w8a8 | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 2.268 ms | 0 - 24 MB | NPU | -- | | YOLOv11-Detection | w8a8 | SA8775P ADP | Qualcomm® SA8775P | QNN | 2.3 ms | 1 - 15 MB | NPU | -- | | YOLOv11-Detection | w8a8 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 1.836 ms | 0 - 10 MB | NPU | -- | | YOLOv11-Detection | w8a8 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 1.835 ms | 1 - 11 MB | NPU | -- | | YOLOv11-Detection | w8a8 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 7.659 ms | 0 - 36 MB | NPU | -- | | YOLOv11-Detection | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 1.215 ms | 0 - 34 MB | NPU | -- | | YOLOv11-Detection | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 1.213 ms | 1 - 38 MB | NPU | -- | | YOLOv11-Detection | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 5.71 ms | 1 - 77 MB | NPU | -- | | YOLOv11-Detection | w8a8 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 0.92 ms | 0 - 32 MB | NPU | -- | | YOLOv11-Detection | w8a8 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 1.071 ms | 1 - 33 MB | NPU | -- | | YOLOv11-Detection | w8a8 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 4.76 ms | 0 - 71 MB | NPU | -- | | YOLOv11-Detection | w8a8 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 2.086 ms | 1 - 1 MB | NPU | -- | | YOLOv11-Detection | w8a8 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 8.134 ms | 0 - 0 MB | NPU | -- | ## License * The license for the original implementation of YOLOv11-Detection can be found [here](https://github.com/ultralytics/ultralytics/blob/main/LICENSE). * The license for the compiled assets for on-device deployment 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://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) 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). ## Usage and Limitations Model may not be used for or in connection with any of the following applications: - Accessing essential private and public services and benefits; - Administration of justice and democratic processes; - Assessing or recognizing the emotional state of a person; - Biometric and biometrics-based systems, including categorization of persons based on sensitive characteristics; - Education and vocational training; - Employment and workers management; - Exploitation of the vulnerabilities of persons resulting in harmful behavior; - General purpose social scoring; - Law enforcement; - Management and operation of critical infrastructure; - Migration, asylum and border control management; - Predictive policing; - Real-time remote biometric identification in public spaces; - Recommender systems of social media platforms; - Scraping of facial images (from the internet or otherwise); and/or - Subliminal manipulation