DDRNet23-Slim: Optimized for Qualcomm Devices

DDRNet23Slim is a machine learning model that segments an image into semantic classes, specifically designed for road-based scenes. It is designed for the application of self-driving cars.

This is based on the implementation of DDRNet23-Slim 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
ONNX	w8a8	Universal	QAIRT 2.45, ONNX Runtime 1.25.0	Download
QNN_DLC	float	Universal	QAIRT 2.45	Download
QNN_DLC	w8a8	Universal	QAIRT 2.45	Download
TFLITE	float	Universal	QAIRT 2.45	Download

For more device-specific assets and performance metrics, visit DDRNet23-Slim 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 DDRNet23-Slim on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.semantic_segmentation

Model Stats:

Model checkpoint: DDRNet23s_imagenet.pth
Inference latency: RealTime
Input resolution: 2048x1024
Number of output classes: 19
Number of parameters: 6.13M
Model size (float): 21.7 MB
Model size (w8a8): 6.11 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
DDRNet23-Slim	ONNX	float	Snapdragon® X2 Elite	11.686 ms	189 - 189 MB	NPU
DDRNet23-Slim	ONNX	float	Snapdragon® X Elite	28.144 ms	158 - 158 MB	NPU
DDRNet23-Slim	ONNX	float	Snapdragon® 8 Gen 3 Mobile	19.887 ms	15 - 272 MB	NPU
DDRNet23-Slim	ONNX	float	Snapdragon® 8 Gen 1 Mobile	45.671 ms	29 - 290 MB	NPU
DDRNet23-Slim	ONNX	float	Qualcomm® QCS8550 (Proxy)	28.482 ms	24 - 42 MB	NPU
DDRNet23-Slim	ONNX	float	Qualcomm® QCS8450	45.671 ms	29 - 290 MB	NPU
DDRNet23-Slim	ONNX	float	Snapdragon® 8 Elite Mobile	15.429 ms	7 - 192 MB	NPU
DDRNet23-Slim	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	11.32 ms	5 - 214 MB	NPU
DDRNet23-Slim	ONNX	float	Qualcomm® QCS9075	39.086 ms	24 - 93 MB	NPU
DDRNet23-Slim	ONNX	float	Qualcomm® QCS8750	15.429 ms	7 - 192 MB	NPU
DDRNet23-Slim	ONNX	float	Qualcomm® QCS7181	28.144 ms	158 - 158 MB	NPU
DDRNet23-Slim	ONNX	w8a8	Snapdragon® X2 Elite	43.739 ms	207 - 207 MB	NPU
DDRNet23-Slim	ONNX	w8a8	Snapdragon® X Elite	56.024 ms	175 - 175 MB	NPU
DDRNet23-Slim	ONNX	w8a8	Snapdragon® 8 Gen 3 Mobile	39.622 ms	7 - 242 MB	NPU
DDRNet23-Slim	ONNX	w8a8	Snapdragon® 8 Gen 1 Mobile	55.088 ms	7 - 242 MB	NPU
DDRNet23-Slim	ONNX	w8a8	Qualcomm® QCS6490	126.957 ms	6 - 51 MB	NPU
DDRNet23-Slim	ONNX	w8a8	Qualcomm® QCS8550 (Proxy)	53.416 ms	6 - 10 MB	NPU
DDRNet23-Slim	ONNX	w8a8	Qualcomm® QCS8450	55.088 ms	7 - 242 MB	NPU
DDRNet23-Slim	ONNX	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	43.32 ms	3 - 201 MB	NPU
DDRNet23-Slim	ONNX	w8a8	Qualcomm® QCM6690	198.895 ms	7 - 205 MB	NPU
DDRNet23-Slim	ONNX	w8a8	Qualcomm® QCS9075	53.146 ms	6 - 51 MB	NPU
DDRNet23-Slim	ONNX	w8a8	Snapdragon® 8 Elite Mobile	41.029 ms	1 - 201 MB	NPU
DDRNet23-Slim	ONNX	w8a8	Snapdragon® 7 Gen 4 Mobile	53.86 ms	7 - 204 MB	NPU
DDRNet23-Slim	ONNX	w8a8	Qualcomm® QCS7790	53.86 ms	7 - 204 MB	NPU
DDRNet23-Slim	ONNX	w8a8	Qualcomm® QCS8750	41.029 ms	1 - 201 MB	NPU
DDRNet23-Slim	ONNX	w8a8	Qualcomm® QCS7181	56.024 ms	175 - 175 MB	NPU
DDRNet23-Slim	QNN_DLC	float	Snapdragon® X2 Elite	11.842 ms	24 - 24 MB	NPU
DDRNet23-Slim	QNN_DLC	float	Snapdragon® X Elite	34.088 ms	24 - 24 MB	NPU
DDRNet23-Slim	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	22.336 ms	21 - 290 MB	NPU
DDRNet23-Slim	QNN_DLC	float	Snapdragon® 8 Gen 1 Mobile	66.849 ms	24 - 300 MB	NPU
DDRNet23-Slim	QNN_DLC	float	Qualcomm® QCS8275	98.398 ms	15 - 212 MB	NPU
DDRNet23-Slim	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	33.033 ms	24 - 27 MB	NPU
DDRNet23-Slim	QNN_DLC	float	Qualcomm® SA8775P	40.43 ms	24 - 221 MB	NPU
DDRNet23-Slim	QNN_DLC	float	Qualcomm® SA8650P	40.43 ms	24 - 221 MB	NPU
DDRNet23-Slim	QNN_DLC	float	Qualcomm® SA8255P	40.43 ms	24 - 221 MB	NPU
DDRNet23-Slim	QNN_DLC	float	Qualcomm® QCS8450	66.849 ms	24 - 300 MB	NPU
DDRNet23-Slim	QNN_DLC	float	Snapdragon® 8 Elite Mobile	15.511 ms	17 - 237 MB	NPU
DDRNet23-Slim	QNN_DLC	float	Qualcomm® SA8295P	43.541 ms	24 - 229 MB	NPU
DDRNet23-Slim	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	10.428 ms	10 - 244 MB	NPU
DDRNet23-Slim	QNN_DLC	float	Qualcomm® SA7255P	98.398 ms	15 - 212 MB	NPU
DDRNet23-Slim	QNN_DLC	float	Qualcomm® QCS9075	53.896 ms	24 - 52 MB	NPU
DDRNet23-Slim	QNN_DLC	float	Qualcomm® QCS8750	15.511 ms	17 - 237 MB	NPU
DDRNet23-Slim	QNN_DLC	float	Qualcomm® QCS7181	34.088 ms	24 - 24 MB	NPU
DDRNet23-Slim	QNN_DLC	w8a8	Snapdragon® X2 Elite	29.394 ms	6 - 6 MB	NPU
DDRNet23-Slim	QNN_DLC	w8a8	Snapdragon® X Elite	58.941 ms	6 - 6 MB	NPU
DDRNet23-Slim	QNN_DLC	w8a8	Snapdragon® 8 Gen 3 Mobile	41.711 ms	6 - 254 MB	NPU
DDRNet23-Slim	QNN_DLC	w8a8	Snapdragon® 8 Gen 1 Mobile	80.162 ms	7 - 254 MB	NPU
DDRNet23-Slim	QNN_DLC	w8a8	Qualcomm® QCS8275	107.919 ms	6 - 205 MB	NPU
DDRNet23-Slim	QNN_DLC	w8a8	Qualcomm® QCS8550 (Proxy)	56.235 ms	6 - 8 MB	NPU
DDRNet23-Slim	QNN_DLC	w8a8	Qualcomm® QCS8450	80.162 ms	7 - 254 MB	NPU
DDRNet23-Slim	QNN_DLC	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	28.639 ms	6 - 239 MB	NPU
DDRNet23-Slim	QNN_DLC	w8a8	Qualcomm® QCS9075	59.707 ms	6 - 14 MB	NPU
DDRNet23-Slim	QNN_DLC	w8a8	Qualcomm® SA7255P	107.919 ms	6 - 205 MB	NPU
DDRNet23-Slim	QNN_DLC	w8a8	Snapdragon® 8 Elite Mobile	39.574 ms	6 - 223 MB	NPU
DDRNet23-Slim	QNN_DLC	w8a8	Qualcomm® SA8295P	66.502 ms	6 - 209 MB	NPU
DDRNet23-Slim	QNN_DLC	w8a8	Qualcomm® QCS8750	39.574 ms	6 - 223 MB	NPU
DDRNet23-Slim	QNN_DLC	w8a8	Qualcomm® QCS7181	58.941 ms	6 - 6 MB	NPU
DDRNet23-Slim	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	22.384 ms	2 - 283 MB	NPU
DDRNet23-Slim	TFLITE	float	Snapdragon® 8 Gen 1 Mobile	67.08 ms	3 - 286 MB	NPU
DDRNet23-Slim	TFLITE	float	Qualcomm® QCS8275	98.327 ms	2 - 204 MB	NPU
DDRNet23-Slim	TFLITE	float	Qualcomm® QCS8550 (Proxy)	32.793 ms	2 - 4 MB	NPU
DDRNet23-Slim	TFLITE	float	Qualcomm® SA8775P	223.39 ms	1 - 32 MB	GPU
DDRNet23-Slim	TFLITE	float	Qualcomm® SA8650P	223.39 ms	1 - 32 MB	GPU
DDRNet23-Slim	TFLITE	float	Qualcomm® SA8255P	223.39 ms	1 - 32 MB	GPU
DDRNet23-Slim	TFLITE	float	Qualcomm® QCS8450	67.08 ms	3 - 286 MB	NPU
DDRNet23-Slim	TFLITE	float	Snapdragon® 8 Elite Mobile	15.376 ms	1 - 227 MB	NPU
DDRNet23-Slim	TFLITE	float	Qualcomm® SA8295P	43.437 ms	2 - 216 MB	NPU
DDRNet23-Slim	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	10.373 ms	2 - 243 MB	NPU
DDRNet23-Slim	TFLITE	float	Qualcomm® SA7255P	98.327 ms	2 - 204 MB	NPU
DDRNet23-Slim	TFLITE	float	Qualcomm® QCS9075	53.912 ms	0 - 41 MB	NPU
DDRNet23-Slim	TFLITE	float	Qualcomm® QCS8750	15.376 ms	1 - 227 MB	NPU

License

The license for the original implementation of DDRNet23-Slim can be found here.

References

Community

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Paper for qualcomm/DDRNet23-Slim

Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes

Paper • 2101.06085 • Published Jan 15, 2021