DETR-ResNet101-DC5: Optimized for Qualcomm Devices

DETR is a machine learning model that can detect objects (trained on COCO dataset).

This is based on the implementation of DETR-ResNet101-DC5 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

There are two ways to deploy this model on your device:

Option 1: Download Pre-Exported Models

Below are pre-exported model assets ready for deployment.

Runtime	Precision	Chipset	SDK Versions	Download
ONNX	float	Universal	QAIRT 2.45, ONNX Runtime 1.25.0	Download
QNN_DLC	float	Universal	QAIRT 2.45	Download
TFLITE	float	Universal	QAIRT 2.45	Download

For more device-specific assets and performance metrics, visit DETR-ResNet101-DC5 on Qualcomm® AI Hub.

Option 2: Export with Custom Configurations

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

This option is ideal if you need to customize the model beyond the default configuration provided here.

See our repository for DETR-ResNet101-DC5 on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.object_detection

Model Stats:

• Model checkpoint: ResNet101-DC5
• Input resolution: 480x480
• Model size (float): 232 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
DETR-ResNet101-DC5	ONNX	float	Snapdragon® X2 Elite	23.552 ms	208 - 208 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Snapdragon® X Elite	51.333 ms	177 - 177 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Snapdragon® 8 Gen 3 Mobile	36.537 ms	5 - 564 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Snapdragon® 8 Gen 1 Mobile	84.707 ms	5 - 473 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Qualcomm® QCS8550 (Proxy)	49.715 ms	0 - 127 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Qualcomm® QCS8450	84.707 ms	5 - 473 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Snapdragon® 8 Elite Mobile	27.202 ms	2 - 434 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	21.631 ms	3 - 440 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Qualcomm® QCS9075	74.882 ms	5 - 50 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Qualcomm® QCS8750	27.202 ms	2 - 434 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Qualcomm® QCS7181	51.333 ms	177 - 177 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Snapdragon® X2 Elite	24.92 ms	5 - 5 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Snapdragon® X Elite	53.33 ms	5 - 5 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	37.486 ms	4 - 554 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Snapdragon® 8 Gen 1 Mobile	108.96 ms	5 - 471 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Qualcomm® QCS8275	220.263 ms	1 - 426 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	51.257 ms	5 - 485 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Qualcomm® QCS8450	108.96 ms	5 - 471 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Snapdragon® 8 Elite Mobile	28.164 ms	0 - 449 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Qualcomm® SA8295P	86.029 ms	1 - 342 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	22.53 ms	5 - 450 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Qualcomm® SA7255P	220.263 ms	1 - 426 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Qualcomm® QCS9075	79.579 ms	5 - 11 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Qualcomm® QCS8750	28.164 ms	0 - 449 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Qualcomm® QCS7181	53.33 ms	5 - 5 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	37.387 ms	0 - 607 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Snapdragon® 8 Gen 1 Mobile	84.298 ms	0 - 481 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® QCS8275	219.577 ms	0 - 472 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® QCS8550 (Proxy)	50.743 ms	0 - 4 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® SA8775P	1649.208 ms	0 - 12 MB	CPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® SA8650P	1649.208 ms	0 - 12 MB	CPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® SA8255P	1649.208 ms	0 - 12 MB	CPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® QCS8450	84.298 ms	0 - 481 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Snapdragon® 8 Elite Mobile	27.841 ms	0 - 481 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® SA8295P	76.625 ms	0 - 358 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® SA7255P	219.577 ms	0 - 472 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® QCS9075	79.08 ms	0 - 126 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® QCS8750	27.841 ms	0 - 481 MB	NPU

License

• The license for the original implementation of DETR-ResNet101-DC5 can be found here.

References

• End-to-End Object Detection with Transformers
• Source Model Implementation

Community

• Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
• For questions or feedback please reach out to us.