FFNet-54S: Optimized for Qualcomm Devices

FFNet-54S is a "fuss-free network" that segments street scene images with per-pixel classes like road, sidewalk, and pedestrian. Trained on the Cityscapes dataset.

This is based on the implementation of FFNet-54S 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 2.42, ONNX Runtime 1.24.3	Download
ONNX	w8a8	Universal	QAIRT 2.42, ONNX Runtime 1.24.3	Download
QNN_DLC	float	Universal	QAIRT 2.45	Download
QNN_DLC	w8a8	Universal	QAIRT 2.45	Download
TFLITE	float	Universal	QAIRT 2.45	Download
TFLITE	w8a8	Universal	QAIRT 2.45	Download

For more device-specific assets and performance metrics, visit FFNet-54S 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 FFNet-54S on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.semantic_segmentation

Model Stats:

• Model checkpoint: ffnet54S_dBBB_cityscapes_state_dict_quarts
• Input resolution: 2048x1024
• Number of output classes: 19
• Number of parameters: 18.0M
• Model size (float): 68.8 MB
• Model size (w8a8): 17.5 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
FFNet-54S	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	13.466 ms	29 - 256 MB	NPU
FFNet-54S	ONNX	float	Snapdragon® X2 Elite	14.823 ms	22 - 22 MB	NPU
FFNet-54S	ONNX	float	Snapdragon® X Elite	34.008 ms	24 - 24 MB	NPU
FFNet-54S	ONNX	float	Snapdragon® 8 Gen 3 Mobile	24.095 ms	31 - 316 MB	NPU
FFNet-54S	ONNX	float	Qualcomm® QCS8550 (Proxy)	34.73 ms	24 - 27 MB	NPU
FFNet-54S	ONNX	float	Qualcomm® QCS9075	52.321 ms	24 - 51 MB	NPU
FFNet-54S	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	17.857 ms	6 - 204 MB	NPU
FFNet-54S	ONNX	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	6.909 ms	2 - 205 MB	NPU
FFNet-54S	ONNX	w8a8	Snapdragon® X2 Elite	7.379 ms	13 - 13 MB	NPU
FFNet-54S	ONNX	w8a8	Snapdragon® X Elite	11.159 ms	12 - 12 MB	NPU
FFNet-54S	ONNX	w8a8	Snapdragon® 8 Gen 3 Mobile	6.946 ms	7 - 265 MB	NPU
FFNet-54S	ONNX	w8a8	Qualcomm® QCS6490	410.214 ms	178 - 233 MB	CPU
FFNet-54S	ONNX	w8a8	Qualcomm® QCS8550 (Proxy)	10.572 ms	0 - 16 MB	NPU
FFNet-54S	ONNX	w8a8	Qualcomm® QCS9075	12.912 ms	6 - 9 MB	NPU
FFNet-54S	ONNX	w8a8	Qualcomm® QCM6690	432.555 ms	146 - 155 MB	CPU
FFNet-54S	ONNX	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	11.641 ms	2 - 201 MB	NPU
FFNet-54S	ONNX	w8a8	Snapdragon® 7 Gen 4 Mobile	430.093 ms	157 - 167 MB	CPU
FFNet-54S	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	13.71 ms	12 - 254 MB	NPU
FFNet-54S	QNN_DLC	float	Snapdragon® X2 Elite	15.895 ms	24 - 24 MB	NPU
FFNet-54S	QNN_DLC	float	Snapdragon® X Elite	39.844 ms	24 - 24 MB	NPU
FFNet-54S	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	26.76 ms	8 - 287 MB	NPU
FFNet-54S	QNN_DLC	float	Qualcomm® QCS8275 (Proxy)	155.242 ms	24 - 225 MB	NPU
FFNet-54S	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	38.879 ms	24 - 26 MB	NPU
FFNet-54S	QNN_DLC	float	Qualcomm® SA8775P	53.669 ms	24 - 225 MB	NPU
FFNet-54S	QNN_DLC	float	Qualcomm® QCS9075	66.395 ms	24 - 52 MB	NPU
FFNet-54S	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	78.284 ms	11 - 281 MB	NPU
FFNet-54S	QNN_DLC	float	Qualcomm® SA7255P	155.242 ms	24 - 225 MB	NPU
FFNet-54S	QNN_DLC	float	Qualcomm® SA8295P	59.25 ms	24 - 221 MB	NPU
FFNet-54S	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	19.549 ms	23 - 245 MB	NPU
FFNet-54S	QNN_DLC	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	5.497 ms	6 - 238 MB	NPU
FFNet-54S	QNN_DLC	w8a8	Snapdragon® X2 Elite	6.456 ms	6 - 6 MB	NPU
FFNet-54S	QNN_DLC	w8a8	Snapdragon® X Elite	16.62 ms	6 - 6 MB	NPU
FFNet-54S	QNN_DLC	w8a8	Snapdragon® 8 Gen 3 Mobile	10.94 ms	6 - 266 MB	NPU
FFNet-54S	QNN_DLC	w8a8	Qualcomm® QCS6490	72.016 ms	6 - 14 MB	NPU
FFNet-54S	QNN_DLC	w8a8	Qualcomm® QCS8275 (Proxy)	35.556 ms	6 - 211 MB	NPU
FFNet-54S	QNN_DLC	w8a8	Qualcomm® QCS8550 (Proxy)	15.789 ms	6 - 8 MB	NPU
FFNet-54S	QNN_DLC	w8a8	Qualcomm® SA8775P	16.274 ms	6 - 213 MB	NPU
FFNet-54S	QNN_DLC	w8a8	Qualcomm® QCS9075	19.124 ms	6 - 14 MB	NPU
FFNet-54S	QNN_DLC	w8a8	Qualcomm® QCM6690	143.124 ms	6 - 244 MB	NPU
FFNet-54S	QNN_DLC	w8a8	Qualcomm® QCS8450 (Proxy)	22.56 ms	6 - 265 MB	NPU
FFNet-54S	QNN_DLC	w8a8	Qualcomm® SA7255P	35.556 ms	6 - 211 MB	NPU
FFNet-54S	QNN_DLC	w8a8	Qualcomm® SA8295P	21.316 ms	6 - 215 MB	NPU
FFNet-54S	QNN_DLC	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	7.482 ms	6 - 225 MB	NPU
FFNet-54S	QNN_DLC	w8a8	Snapdragon® 7 Gen 4 Mobile	19.831 ms	6 - 229 MB	NPU
FFNet-54S	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	13.699 ms	2 - 261 MB	NPU
FFNet-54S	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	26.887 ms	1 - 329 MB	NPU
FFNet-54S	TFLITE	float	Qualcomm® QCS8275 (Proxy)	155.512 ms	3 - 224 MB	NPU
FFNet-54S	TFLITE	float	Qualcomm® QCS8550 (Proxy)	39.138 ms	2 - 5 MB	NPU
FFNet-54S	TFLITE	float	Qualcomm® SA8775P	53.698 ms	2 - 224 MB	NPU
FFNet-54S	TFLITE	float	Qualcomm® QCS9075	66.529 ms	0 - 64 MB	NPU
FFNet-54S	TFLITE	float	Qualcomm® QCS8450 (Proxy)	77.052 ms	3 - 323 MB	NPU
FFNet-54S	TFLITE	float	Qualcomm® SA7255P	155.512 ms	3 - 224 MB	NPU
FFNet-54S	TFLITE	float	Qualcomm® SA8295P	59.289 ms	0 - 216 MB	NPU
FFNet-54S	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	19.671 ms	0 - 239 MB	NPU
FFNet-54S	TFLITE	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	3.171 ms	1 - 232 MB	NPU
FFNet-54S	TFLITE	w8a8	Snapdragon® 8 Gen 3 Mobile	5.925 ms	1 - 258 MB	NPU
FFNet-54S	TFLITE	w8a8	Qualcomm® QCS6490	55.719 ms	0 - 27 MB	NPU
FFNet-54S	TFLITE	w8a8	Qualcomm® QCS8275 (Proxy)	22.846 ms	1 - 204 MB	NPU
FFNet-54S	TFLITE	w8a8	Qualcomm® QCS8550 (Proxy)	8.267 ms	1 - 12 MB	NPU
FFNet-54S	TFLITE	w8a8	Qualcomm® SA8775P	8.855 ms	1 - 205 MB	NPU
FFNet-54S	TFLITE	w8a8	Qualcomm® QCS9075	10.042 ms	1 - 27 MB	NPU
FFNet-54S	TFLITE	w8a8	Qualcomm® QCM6690	118.026 ms	1 - 237 MB	NPU
FFNet-54S	TFLITE	w8a8	Qualcomm® QCS8450 (Proxy)	13.298 ms	0 - 261 MB	NPU
FFNet-54S	TFLITE	w8a8	Qualcomm® SA7255P	22.846 ms	1 - 204 MB	NPU
FFNet-54S	TFLITE	w8a8	Qualcomm® SA8295P	13.155 ms	1 - 206 MB	NPU
FFNet-54S	TFLITE	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	4.457 ms	0 - 220 MB	NPU
FFNet-54S	TFLITE	w8a8	Snapdragon® 7 Gen 4 Mobile	12.559 ms	1 - 221 MB	NPU

License

• The license for the original implementation of FFNet-54S can be found here.

References

• Simple and Efficient Architectures for Semantic Segmentation
• 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.