v0.60.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.60.0 for changelog.
README.md
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Ultralytics YOLO26 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 YOLO26-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/v0.
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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/v0.
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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 [YOLO26-Detection on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.
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## Model Details
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**Model Type:** Model_use_case.object_detection
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**Model Stats:**
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- Model checkpoint: YOLO26-N
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- Input resolution: 640x640
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- Model size (float): 9.2 MB
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- Model size (w8a16): 3.2 MB
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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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| YOLO26-Detection | ONNX | float | Snapdragon® X2 Elite | 4.
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| YOLO26-Detection | ONNX | float | Snapdragon® X Elite | 9.
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| YOLO26-Detection | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 6.
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| YOLO26-Detection | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 16.
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| YOLO26-Detection | ONNX | float | Qualcomm® Dragonwing™
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| YOLO26-Detection | ONNX | float | Qualcomm®
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| YOLO26-Detection | ONNX | float | Qualcomm®
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| YOLO26-Detection | ONNX | float | Qualcomm® Dragonwing™ IQ-
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| YOLO26-Detection | ONNX | float | Qualcomm® Dragonwing™
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| YOLO26-Detection | ONNX | float |
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| YOLO26-Detection | ONNX | float | Snapdragon® 8 Elite
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| YOLO26-Detection | ONNX |
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| YOLO26-Detection | ONNX | w8a16 | Snapdragon®
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| YOLO26-Detection | ONNX | w8a16 | Snapdragon®
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| YOLO26-Detection | ONNX | w8a16 | Snapdragon® 8 Gen
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| YOLO26-Detection | ONNX | w8a16 |
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| YOLO26-Detection | ONNX | w8a16 | Qualcomm® Dragonwing™
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| YOLO26-Detection | ONNX | w8a16 | Qualcomm®
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| YOLO26-Detection | ONNX | w8a16 | Qualcomm® Dragonwing™
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| YOLO26-Detection | ONNX | w8a16 | Qualcomm®
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| YOLO26-Detection | ONNX | w8a16 | Qualcomm® Dragonwing™
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| YOLO26-Detection | ONNX | w8a16 |
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| YOLO26-Detection | ONNX | w8a16 |
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| YOLO26-Detection |
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| YOLO26-Detection |
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| YOLO26-Detection |
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| YOLO26-Detection |
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| YOLO26-Detection |
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| YOLO26-Detection | QNN_DLC | float |
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| YOLO26-Detection | QNN_DLC | float |
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| YOLO26-Detection | QNN_DLC | float |
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| YOLO26-Detection | QNN_DLC | float |
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| YOLO26-Detection | QNN_DLC | float | Qualcomm®
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| YOLO26-Detection | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-
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| YOLO26-Detection | QNN_DLC | float | Qualcomm® Dragonwing™
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| YOLO26-Detection | QNN_DLC | float | Qualcomm®
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| YOLO26-Detection | QNN_DLC | float | Qualcomm®
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| YOLO26-Detection | QNN_DLC | float | Qualcomm®
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| YOLO26-Detection | QNN_DLC | float |
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| YOLO26-Detection | QNN_DLC | float |
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| YOLO26-Detection | QNN_DLC |
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| YOLO26-Detection | QNN_DLC |
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| YOLO26-Detection | QNN_DLC |
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| YOLO26-Detection | QNN_DLC |
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| YOLO26-Detection | QNN_DLC |
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| YOLO26-Detection | QNN_DLC |
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| YOLO26-Detection | QNN_DLC | w8a16 |
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| YOLO26-Detection | QNN_DLC | w8a16 |
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| YOLO26-Detection | QNN_DLC | w8a16 |
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| YOLO26-Detection | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-
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| YOLO26-Detection | QNN_DLC | w8a16 | Qualcomm® Dragonwing™
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| YOLO26-Detection | QNN_DLC | w8a16 | Qualcomm® Dragonwing™
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| YOLO26-Detection | QNN_DLC | w8a16 | Qualcomm®
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| YOLO26-Detection | QNN_DLC | w8a16 | Qualcomm®
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| YOLO26-Detection | QNN_DLC | w8a16 |
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| YOLO26-Detection | QNN_DLC | w8a16 |
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| YOLO26-Detection | QNN_DLC | w8a16 |
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| YOLO26-Detection |
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| YOLO26-Detection |
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| YOLO26-Detection |
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| YOLO26-Detection |
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| YOLO26-Detection | TFLITE | float | Qualcomm® SA8775P | 7.137 ms | 0 - 169 MB | NPU
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| YOLO26-Detection | TFLITE | float | Qualcomm® SA8650P | 7.137 ms | 0 - 169 MB | NPU
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| YOLO26-Detection | TFLITE | float | Qualcomm® SA8255P | 7.137 ms | 0 - 169 MB | NPU
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| YOLO26-Detection | TFLITE | float | Qualcomm® QCS8450 | 10.
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| YOLO26-Detection | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 6.
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| YOLO26-Detection | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 3.
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| YOLO26-Detection | TFLITE | float | Qualcomm® SA7255P | 14.
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| YOLO26-Detection | TFLITE | float | Qualcomm® SA8295P | 10.
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| YOLO26-Detection | TFLITE | float | Snapdragon® 8 Elite Mobile | 3.
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| YOLO26-Detection | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.
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## License
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* The license for the original implementation of YOLO26-Detection can be found
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Ultralytics YOLO26 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 YOLO26-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/v0.60.0/src/qai_hub_models/models/yolo26_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/v0.60.0/src/qai_hub_models/models/yolo26_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 [YOLO26-Detection on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/yolo26_det) for usage instructions.
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## Model Details
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**Model Type:** Model_use_case.object_detection
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**Model Stats:**
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- Input resolution: 640x640
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- Model checkpoint: YOLO26-N
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- Model size (float): 9.2 MB
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- Model size (w8a16): 3.2 MB
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- Number of parameters: 2.4M
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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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| YOLO26-Detection | ONNX | float | Snapdragon® X2 Elite | 4.466 ms | 5 - 5 MB | NPU
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| YOLO26-Detection | ONNX | float | Snapdragon® X Elite | 9.329 ms | 10 - 10 MB | NPU
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| YOLO26-Detection | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 6.286 ms | 5 - 204 MB | NPU
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| YOLO26-Detection | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 16.773 ms | 5 - 220 MB | NPU
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| YOLO26-Detection | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 9.246 ms | 5 - 8 MB | NPU
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| YOLO26-Detection | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 9.033 ms | 0 - 11 MB | NPU
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| YOLO26-Detection | ONNX | float | Qualcomm® QCS8450 | 16.773 ms | 5 - 220 MB | NPU
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| YOLO26-Detection | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 10.547 ms | 5 - 7 MB | NPU
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| YOLO26-Detection | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 9.329 ms | 10 - 10 MB | NPU
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| YOLO26-Detection | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 4.227 ms | 0 - 176 MB | NPU
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| YOLO26-Detection | ONNX | float | Snapdragon® 8 Elite Mobile | 4.227 ms | 0 - 176 MB | NPU
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| YOLO26-Detection | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 4.014 ms | 0 - 177 MB | NPU
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| YOLO26-Detection | ONNX | w8a16 | Snapdragon® X2 Elite | 2.458 ms | 2 - 2 MB | NPU
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| YOLO26-Detection | ONNX | w8a16 | Snapdragon® X Elite | 5.809 ms | 2 - 2 MB | NPU
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| YOLO26-Detection | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 3.511 ms | 2 - 221 MB | NPU
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| YOLO26-Detection | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 7.545 ms | 3 - 224 MB | NPU
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| YOLO26-Detection | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 16.862 ms | 2 - 5 MB | NPU
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| YOLO26-Detection | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 4.98 ms | 2 - 6 MB | NPU
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| YOLO26-Detection | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 5.493 ms | 2 - 6 MB | NPU
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| YOLO26-Detection | ONNX | w8a16 | Qualcomm® QCS8450 | 7.545 ms | 3 - 224 MB | NPU
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| YOLO26-Detection | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 6.002 ms | 2 - 5 MB | NPU
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| YOLO26-Detection | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 5.809 ms | 2 - 2 MB | NPU
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| YOLO26-Detection | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 26.034 ms | 3 - 206 MB | NPU
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| YOLO26-Detection | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 6.758 ms | 3 - 197 MB | NPU
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| YOLO26-Detection | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 2.589 ms | 1 - 85 MB | NPU
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| YOLO26-Detection | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 2.589 ms | 1 - 85 MB | NPU
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| YOLO26-Detection | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 2.28 ms | 1 - 84 MB | NPU
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| YOLO26-Detection | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 6.758 ms | 3 - 197 MB | NPU
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| YOLO26-Detection | QNN_DLC | float | Snapdragon® X2 Elite | 2.752 ms | 5 - 5 MB | NPU
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| YOLO26-Detection | QNN_DLC | float | Snapdragon® X Elite | 5.005 ms | 5 - 5 MB | NPU
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| YOLO26-Detection | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 3.35 ms | 0 - 184 MB | NPU
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| YOLO26-Detection | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 8.968 ms | 5 - 198 MB | NPU
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| YOLO26-Detection | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 5.401 ms | 5 - 12 MB | NPU
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| YOLO26-Detection | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 13.088 ms | 0 - 156 MB | NPU
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| YOLO26-Detection | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4.514 ms | 5 - 22 MB | NPU
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| YOLO26-Detection | QNN_DLC | float | Qualcomm® SA8775P | 5.837 ms | 0 - 157 MB | NPU
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| YOLO26-Detection | QNN_DLC | float | Qualcomm® SA8650P | 5.837 ms | 0 - 157 MB | NPU
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| YOLO26-Detection | QNN_DLC | float | Qualcomm® SA8255P | 5.837 ms | 0 - 157 MB | NPU
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| YOLO26-Detection | QNN_DLC | float | Qualcomm® QCS8450 | 8.968 ms | 5 - 198 MB | NPU
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| YOLO26-Detection | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 5.585 ms | 5 - 11 MB | NPU
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| YOLO26-Detection | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 5.005 ms | 5 - 5 MB | NPU
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| YOLO26-Detection | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 2.625 ms | 0 - 159 MB | NPU
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| YOLO26-Detection | QNN_DLC | float | Qualcomm® SA7255P | 13.088 ms | 0 - 156 MB | NPU
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| YOLO26-Detection | QNN_DLC | float | Qualcomm® SA8295P | 9.345 ms | 0 - 168 MB | NPU
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| YOLO26-Detection | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 2.625 ms | 0 - 159 MB | NPU
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| YOLO26-Detection | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.241 ms | 4 - 161 MB | NPU
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| YOLO26-Detection | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 2.299 ms | 2 - 2 MB | NPU
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| YOLO26-Detection | QNN_DLC | w8a16 | Snapdragon® X Elite | 4.774 ms | 2 - 2 MB | NPU
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| YOLO26-Detection | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 2.983 ms | 2 - 202 MB | NPU
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| YOLO26-Detection | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 4.208 ms | 1 - 6 MB | NPU
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| YOLO26-Detection | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 8.076 ms | 0 - 177 MB | NPU
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| YOLO26-Detection | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4.384 ms | 2 - 99 MB | NPU
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| YOLO26-Detection | QNN_DLC | w8a16 | Qualcomm® SA8775P | 5.024 ms | 0 - 178 MB | NPU
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| YOLO26-Detection | QNN_DLC | w8a16 | Qualcomm® SA8650P | 5.024 ms | 0 - 178 MB | NPU
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| YOLO26-Detection | QNN_DLC | w8a16 | Qualcomm® SA8255P | 5.024 ms | 0 - 178 MB | NPU
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| YOLO26-Detection | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 4.769 ms | 1 - 5 MB | NPU
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| YOLO26-Detection | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 4.774 ms | 2 - 2 MB | NPU
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| YOLO26-Detection | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 19.456 ms | 2 - 181 MB | NPU
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| YOLO26-Detection | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 5.341 ms | 1 - 182 MB | NPU
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| YOLO26-Detection | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 2.249 ms | 2 - 185 MB | NPU
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| YOLO26-Detection | QNN_DLC | w8a16 | Qualcomm® SA7255P | 8.076 ms | 0 - 177 MB | NPU
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| YOLO26-Detection | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 2.249 ms | 2 - 185 MB | NPU
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| YOLO26-Detection | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 1.938 ms | 2 - 186 MB | NPU
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| YOLO26-Detection | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 5.341 ms | 1 - 182 MB | NPU
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| YOLO26-Detection | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 4.212 ms | 0 - 192 MB | NPU
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| YOLO26-Detection | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 10.88 ms | 0 - 206 MB | NPU
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| YOLO26-Detection | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 6.381 ms | 0 - 21 MB | NPU
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| YOLO26-Detection | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 14.294 ms | 0 - 165 MB | NPU
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| YOLO26-Detection | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 5.78 ms | 0 - 7 MB | NPU
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| YOLO26-Detection | TFLITE | float | Qualcomm® SA8775P | 7.137 ms | 0 - 169 MB | NPU
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| YOLO26-Detection | TFLITE | float | Qualcomm® SA8650P | 7.137 ms | 0 - 169 MB | NPU
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| YOLO26-Detection | TFLITE | float | Qualcomm® SA8255P | 7.137 ms | 0 - 169 MB | NPU
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| YOLO26-Detection | TFLITE | float | Qualcomm® QCS8450 | 10.88 ms | 0 - 206 MB | NPU
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| YOLO26-Detection | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 6.914 ms | 0 - 21 MB | NPU
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| YOLO26-Detection | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 3.129 ms | 0 - 161 MB | NPU
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| YOLO26-Detection | TFLITE | float | Qualcomm® SA7255P | 14.294 ms | 0 - 165 MB | NPU
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| YOLO26-Detection | TFLITE | float | Qualcomm® SA8295P | 10.925 ms | 0 - 176 MB | NPU
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| YOLO26-Detection | TFLITE | float | Snapdragon® 8 Elite Mobile | 3.129 ms | 0 - 161 MB | NPU
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| YOLO26-Detection | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.709 ms | 0 - 169 MB | NPU
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## License
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* The license for the original implementation of YOLO26-Detection can be found
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