v0.48.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.48.0 for changelog.
README.md
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Ultralytics YOLOv10 is a machine learning model that predicts bounding boxes and classes of objects in an image.
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This is based on the implementation of YOLOv10-Detection found [here](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/models/yolo/detect).
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This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/
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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.
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## Getting Started
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Due to licensing restrictions, we cannot distribute pre-exported model assets for this model.
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Use the [Qualcomm® AI Hub Models](https://github.com/
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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See our repository for [YOLOv10-Detection on GitHub](https://github.com/
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## Model Details
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| YOLOv10-Detection | ONNX | float | Snapdragon®
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| YOLOv10-Detection | ONNX | float | Snapdragon®
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| YOLOv10-Detection | ONNX | float |
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| YOLOv10-Detection | ONNX | float | Qualcomm®
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| YOLOv10-Detection | ONNX | float |
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| YOLOv10-Detection | ONNX | float | Snapdragon® 8 Elite
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| YOLOv10-Detection | ONNX | float | Snapdragon®
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| YOLOv10-Detection | ONNX | w8a16 | Snapdragon®
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| YOLOv10-Detection | ONNX | w8a16 | Snapdragon®
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| YOLOv10-Detection | ONNX | w8a16 |
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| YOLOv10-Detection | ONNX | w8a16 | Qualcomm®
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| YOLOv10-Detection | ONNX | w8a16 | Qualcomm®
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| YOLOv10-Detection | ONNX | w8a16 | Qualcomm®
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| YOLOv10-Detection | ONNX | w8a16 |
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| YOLOv10-Detection | ONNX | w8a16 | Snapdragon®
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| YOLOv10-Detection | ONNX | w8a16 | Snapdragon®
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| YOLOv10-Detection | ONNX | w8a16 | Snapdragon®
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 | Snapdragon®
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 | Snapdragon®
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 |
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 | Qualcomm®
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 | Qualcomm®
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 | Qualcomm®
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 |
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 | Snapdragon®
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 | Snapdragon®
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 | Snapdragon®
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| YOLOv10-Detection | QNN_DLC | float | Snapdragon®
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| YOLOv10-Detection | QNN_DLC | float | Snapdragon®
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| YOLOv10-Detection | QNN_DLC | float |
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| YOLOv10-Detection | QNN_DLC | float | Qualcomm®
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| YOLOv10-Detection | QNN_DLC | float | Qualcomm®
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| YOLOv10-Detection | QNN_DLC | float | Qualcomm®
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| YOLOv10-Detection | QNN_DLC | float | Qualcomm®
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| YOLOv10-Detection | QNN_DLC | float | Qualcomm®
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| YOLOv10-Detection | QNN_DLC | float | Qualcomm®
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| YOLOv10-Detection | QNN_DLC | float |
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| YOLOv10-Detection | QNN_DLC | float | Snapdragon® 8 Elite
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| YOLOv10-Detection | QNN_DLC | float | Snapdragon®
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| YOLOv10-Detection | QNN_DLC | w8a16 | Snapdragon®
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| YOLOv10-Detection | QNN_DLC | w8a16 | Snapdragon®
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| YOLOv10-Detection | QNN_DLC | w8a16 |
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| YOLOv10-Detection | QNN_DLC | w8a16 | Qualcomm®
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| YOLOv10-Detection | QNN_DLC | w8a16 | Qualcomm®
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| YOLOv10-Detection | QNN_DLC | w8a16 | Qualcomm®
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| YOLOv10-Detection | QNN_DLC | w8a16 | Qualcomm®
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| YOLOv10-Detection | QNN_DLC | w8a16 | Qualcomm®
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| YOLOv10-Detection | QNN_DLC | w8a16 |
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| YOLOv10-Detection | QNN_DLC | w8a16 | Snapdragon®
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| YOLOv10-Detection | QNN_DLC | w8a16 | Snapdragon®
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| YOLOv10-Detection | QNN_DLC | w8a16 | Snapdragon®
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| YOLOv10-Detection | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.
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| YOLOv10-Detection | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 12.
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| YOLOv10-Detection | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 3.
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| YOLOv10-Detection | TFLITE | float | Qualcomm® SA8775P | 5.
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| YOLOv10-Detection | TFLITE | float | Qualcomm® QCS9075 | 4.
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| YOLOv10-Detection | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 7.
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| YOLOv10-Detection | TFLITE | float | Qualcomm® SA7255P | 12.
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| YOLOv10-Detection | TFLITE | float | Qualcomm® SA8295P | 8.
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| YOLOv10-Detection | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.
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| YOLOv10-Detection | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.
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## License
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* The license for the original implementation of YOLOv10-Detection can be found
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Ultralytics YOLOv10 is a machine learning model that predicts bounding boxes and classes of objects in an image.
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This is based on the implementation of YOLOv10-Detection found [here](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/models/yolo/detect).
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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/qai_hub_models/models/yolov10_det) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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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.
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## Getting Started
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Due to licensing restrictions, we cannot distribute pre-exported model assets for this model.
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/yolov10_det) Python library to compile and export the model with your own:
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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See our repository for [YOLOv10-Detection on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/yolov10_det) for usage instructions.
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## Model Details
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| YOLOv10-Detection | ONNX | float | Snapdragon® X2 Elite | 3.099 ms | 3 - 3 MB | NPU
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| YOLOv10-Detection | ONNX | float | Snapdragon® X Elite | 6.725 ms | 5 - 5 MB | NPU
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| YOLOv10-Detection | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 3.833 ms | 2 - 277 MB | NPU
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| YOLOv10-Detection | ONNX | float | Qualcomm® QCS8550 (Proxy) | 6.112 ms | 5 - 10 MB | NPU
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| YOLOv10-Detection | ONNX | float | Qualcomm® QCS9075 | 7.008 ms | 5 - 7 MB | NPU
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| YOLOv10-Detection | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 3.062 ms | 0 - 224 MB | NPU
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| YOLOv10-Detection | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.719 ms | 3 - 223 MB | NPU
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| YOLOv10-Detection | ONNX | w8a16 | Snapdragon® X2 Elite | 2.234 ms | 0 - 0 MB | NPU
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| YOLOv10-Detection | ONNX | w8a16 | Snapdragon® X Elite | 5.547 ms | 2 - 2 MB | NPU
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| YOLOv10-Detection | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 3.16 ms | 0 - 103 MB | NPU
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| YOLOv10-Detection | ONNX | w8a16 | Qualcomm® QCS6490 | 332.433 ms | 66 - 72 MB | CPU
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| YOLOv10-Detection | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 5.056 ms | 2 - 7 MB | NPU
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| YOLOv10-Detection | ONNX | w8a16 | Qualcomm® QCS9075 | 6.102 ms | 2 - 5 MB | NPU
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| YOLOv10-Detection | ONNX | w8a16 | Qualcomm® QCM6690 | 168.326 ms | 57 - 65 MB | CPU
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| YOLOv10-Detection | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 2.301 ms | 0 - 72 MB | NPU
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| YOLOv10-Detection | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 149.606 ms | 67 - 76 MB | CPU
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| YOLOv10-Detection | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 2.086 ms | 0 - 79 MB | NPU
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 | Snapdragon® X2 Elite | 6.753 ms | 10 - 10 MB | NPU
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 | Snapdragon® X Elite | 14.849 ms | 8 - 8 MB | NPU
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 | Snapdragon® 8 Gen 3 Mobile | 8.563 ms | 9 - 234 MB | NPU
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 | Qualcomm® QCS6490 | 140.766 ms | 63 - 73 MB | CPU
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 | Qualcomm® QCS8550 (Proxy) | 11.809 ms | 7 - 15 MB | NPU
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 | Qualcomm® QCS9075 | 16.39 ms | 8 - 10 MB | NPU
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 | Qualcomm® QCM6690 | 80.941 ms | 53 - 64 MB | CPU
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 | Snapdragon® 8 Elite For Galaxy Mobile | 6.459 ms | 6 - 196 MB | NPU
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 | Snapdragon® 7 Gen 4 Mobile | 71.711 ms | 63 - 75 MB | CPU
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| YOLOv10-Detection | ONNX | w8a8_mixed_int16 | Snapdragon® 8 Elite Gen 5 Mobile | 6.341 ms | 9 - 323 MB | NPU
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| YOLOv10-Detection | QNN_DLC | float | Snapdragon® X2 Elite | 2.591 ms | 5 - 5 MB | NPU
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| YOLOv10-Detection | QNN_DLC | float | Snapdragon® X Elite | 4.388 ms | 5 - 5 MB | NPU
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| YOLOv10-Detection | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.943 ms | 5 - 217 MB | NPU
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| YOLOv10-Detection | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 13.081 ms | 1 - 183 MB | NPU
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| YOLOv10-Detection | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 3.98 ms | 5 - 6 MB | NPU
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| YOLOv10-Detection | QNN_DLC | float | Qualcomm® SA8775P | 5.441 ms | 0 - 184 MB | NPU
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| YOLOv10-Detection | QNN_DLC | float | Qualcomm® QCS9075 | 5.121 ms | 5 - 11 MB | NPU
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| YOLOv10-Detection | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 9.208 ms | 4 - 198 MB | NPU
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| YOLOv10-Detection | QNN_DLC | float | Qualcomm® SA7255P | 13.081 ms | 1 - 183 MB | NPU
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| YOLOv10-Detection | QNN_DLC | float | Qualcomm® SA8295P | 8.855 ms | 1 - 168 MB | NPU
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| YOLOv10-Detection | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.208 ms | 0 - 185 MB | NPU
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| YOLOv10-Detection | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.872 ms | 5 - 189 MB | NPU
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| YOLOv10-Detection | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 2.155 ms | 2 - 2 MB | NPU
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| YOLOv10-Detection | QNN_DLC | w8a16 | Snapdragon® X Elite | 4.674 ms | 2 - 2 MB | NPU
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| YOLOv10-Detection | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 3.003 ms | 2 - 204 MB | NPU
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| YOLOv10-Detection | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 8.162 ms | 1 - 173 MB | NPU
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| YOLOv10-Detection | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 4.289 ms | 2 - 4 MB | NPU
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| YOLOv10-Detection | QNN_DLC | w8a16 | Qualcomm® SA8775P | 4.914 ms | 0 - 176 MB | NPU
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| YOLOv10-Detection | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 4.83 ms | 0 - 4 MB | NPU
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| YOLOv10-Detection | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 19.745 ms | 2 - 182 MB | NPU
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| YOLOv10-Detection | QNN_DLC | w8a16 | Qualcomm® SA7255P | 8.162 ms | 1 - 173 MB | NPU
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| YOLOv10-Detection | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 2.131 ms | 0 - 175 MB | NPU
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| YOLOv10-Detection | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 4.399 ms | 2 - 177 MB | NPU
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| YOLOv10-Detection | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 1.798 ms | 2 - 184 MB | NPU
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| YOLOv10-Detection | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.658 ms | 0 - 114 MB | NPU
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| YOLOv10-Detection | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 12.566 ms | 0 - 81 MB | NPU
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| YOLOv10-Detection | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 3.564 ms | 0 - 3 MB | NPU
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| YOLOv10-Detection | TFLITE | float | Qualcomm® SA8775P | 5.106 ms | 0 - 84 MB | NPU
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| YOLOv10-Detection | TFLITE | float | Qualcomm® QCS9075 | 4.816 ms | 0 - 13 MB | NPU
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| YOLOv10-Detection | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 7.702 ms | 0 - 196 MB | NPU
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| YOLOv10-Detection | TFLITE | float | Qualcomm® SA7255P | 12.566 ms | 0 - 81 MB | NPU
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| YOLOv10-Detection | TFLITE | float | Qualcomm® SA8295P | 8.133 ms | 0 - 170 MB | NPU
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| YOLOv10-Detection | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.991 ms | 0 - 84 MB | NPU
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| YOLOv10-Detection | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.58 ms | 0 - 92 MB | NPU
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## License
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* The license for the original implementation of YOLOv10-Detection can be found
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