RTMDet: Optimized for Qualcomm Devices

RTMDet is a highly efficient model for real-time object detection,capable of predicting both the bounding boxes and classes of objects within an image.It is highly optimized for real-time applications, making it reliable for industrial and commercial use

This is based on the implementation of RTMDet 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 RTMDet on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.object_detection

Model Stats:

Model checkpoint: RTMDet Medium
Input resolution: 640x640
Number of parameters: 27.5M
Model size (float): 105 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
RTMDet	ONNX	float	Snapdragon® X2 Elite	8.097 ms	5 - 5 MB	NPU
RTMDet	ONNX	float	Snapdragon® X Elite	15.379 ms	51 - 51 MB	NPU
RTMDet	ONNX	float	Snapdragon® 8 Gen 3 Mobile	11.157 ms	3 - 233 MB	NPU
RTMDet	ONNX	float	Snapdragon® 8 Gen 1 Mobile	45.676 ms	5 - 299 MB	NPU
RTMDet	ONNX	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	14.707 ms	5 - 224 MB	NPU
RTMDet	ONNX	float	Qualcomm® QCS8450	45.676 ms	5 - 299 MB	NPU
RTMDet	ONNX	float	Qualcomm® Dragonwing™ IQ-9075	22.885 ms	5 - 12 MB	NPU
RTMDet	ONNX	float	Qualcomm® Dragonwing™ IQ-X7181	15.379 ms	51 - 51 MB	NPU
RTMDet	ONNX	float	Qualcomm® Dragonwing™ Q-8750	9.29 ms	3 - 187 MB	NPU
RTMDet	ONNX	float	Snapdragon® 8 Elite Mobile	9.29 ms	3 - 187 MB	NPU
RTMDet	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	6.033 ms	2 - 192 MB	NPU
RTMDet	ONNX	w8a16	Snapdragon® X2 Elite	5.757 ms	2 - 2 MB	NPU
RTMDet	ONNX	w8a16	Snapdragon® X Elite	14.194 ms	27 - 27 MB	NPU
RTMDet	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	8.857 ms	3 - 356 MB	NPU
RTMDet	ONNX	w8a16	Snapdragon® 8 Gen 1 Mobile	18.681 ms	3 - 358 MB	NPU
RTMDet	ONNX	w8a16	Qualcomm® Dragonwing™ QCS6490	64.074 ms	2 - 5 MB	NPU
RTMDet	ONNX	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	13.531 ms	2 - 5 MB	NPU
RTMDet	ONNX	w8a16	Qualcomm® QCS8450	18.681 ms	3 - 358 MB	NPU
RTMDet	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-9075	14.281 ms	2 - 5 MB	NPU
RTMDet	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-X7181	14.194 ms	27 - 27 MB	NPU
RTMDet	ONNX	w8a16	Qualcomm® Dragonwing™ Q-8750	6.175 ms	1 - 297 MB	NPU
RTMDet	ONNX	w8a16	Snapdragon® 8 Elite Mobile	6.175 ms	1 - 297 MB	NPU
RTMDet	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	5.111 ms	1 - 324 MB	NPU
RTMDet	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	20.007 ms	0 - 305 MB	NPU
RTMDet	TFLITE	float	Snapdragon® 8 Gen 1 Mobile	51.172 ms	2 - 367 MB	NPU
RTMDet	TFLITE	float	Qualcomm® Dragonwing™ QCS8275	105.943 ms	1 - 224 MB	NPU
RTMDet	TFLITE	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	28.927 ms	0 - 3 MB	NPU
RTMDet	TFLITE	float	Qualcomm® SA8775P	36.501 ms	0 - 225 MB	NPU
RTMDet	TFLITE	float	Qualcomm® SA8650P	36.501 ms	0 - 225 MB	NPU
RTMDet	TFLITE	float	Qualcomm® SA8255P	36.501 ms	0 - 225 MB	NPU
RTMDet	TFLITE	float	Qualcomm® QCS8450	51.172 ms	2 - 367 MB	NPU
RTMDet	TFLITE	float	Qualcomm® Dragonwing™ IQ-9075	36.373 ms	0 - 62 MB	NPU
RTMDet	TFLITE	float	Qualcomm® Dragonwing™ Q-8750	14.951 ms	0 - 228 MB	NPU
RTMDet	TFLITE	float	Qualcomm® SA7255P	105.943 ms	1 - 224 MB	NPU
RTMDet	TFLITE	float	Qualcomm® SA8295P	46.064 ms	0 - 283 MB	NPU
RTMDet	TFLITE	float	Snapdragon® 8 Elite Mobile	14.951 ms	0 - 228 MB	NPU
RTMDet	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	9.889 ms	0 - 229 MB	NPU

License

The license for the original implementation of RTMDet can be found here.

References

Community

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