FFNet-78S: Optimized for Qualcomm Devices

FFNet-78S 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-78S 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-78S 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-78S on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.semantic_segmentation

Model Stats:

• Model checkpoint: ffnet78S_dBBB_cityscapes_state_dict_quarts
• Input resolution: 2048x1024
• Number of output classes: 19
• Number of parameters: 27.5M
• Model size (float): 105 MB
• Model size (w8a8): 26.7 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
FFNet-78S	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	17.173 ms	29 - 258 MB	NPU
FFNet-78S	ONNX	float	Snapdragon® X2 Elite	17.872 ms	30 - 30 MB	NPU
FFNet-78S	ONNX	float	Snapdragon® X Elite	37.856 ms	30 - 30 MB	NPU
FFNet-78S	ONNX	float	Snapdragon® 8 Gen 3 Mobile	27.043 ms	0 - 301 MB	NPU
FFNet-78S	ONNX	float	Qualcomm® QCS8550 (Proxy)	38.338 ms	24 - 27 MB	NPU
FFNet-78S	ONNX	float	Qualcomm® QCS9075	59.331 ms	24 - 51 MB	NPU
FFNet-78S	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	20.224 ms	6 - 209 MB	NPU
FFNet-78S	ONNX	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	7.282 ms	0 - 219 MB	NPU
FFNet-78S	ONNX	w8a8	Snapdragon® X2 Elite	7.925 ms	22 - 22 MB	NPU
FFNet-78S	ONNX	w8a8	Snapdragon® X Elite	14.884 ms	21 - 21 MB	NPU
FFNet-78S	ONNX	w8a8	Snapdragon® 8 Gen 3 Mobile	11.938 ms	7 - 295 MB	NPU
FFNet-78S	ONNX	w8a8	Qualcomm® QCS6490	507.691 ms	162 - 230 MB	CPU
FFNet-78S	ONNX	w8a8	Qualcomm® QCS8550 (Proxy)	15.421 ms	0 - 102 MB	NPU
FFNet-78S	ONNX	w8a8	Qualcomm® QCS9075	14.482 ms	6 - 9 MB	NPU
FFNet-78S	ONNX	w8a8	Qualcomm® QCM6690	533.377 ms	139 - 148 MB	CPU
FFNet-78S	ONNX	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	8.78 ms	1 - 209 MB	NPU
FFNet-78S	ONNX	w8a8	Snapdragon® 7 Gen 4 Mobile	532.845 ms	148 - 158 MB	CPU
FFNet-78S	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	15.463 ms	24 - 273 MB	NPU
FFNet-78S	QNN_DLC	float	Snapdragon® X2 Elite	17.953 ms	24 - 24 MB	NPU
FFNet-78S	QNN_DLC	float	Snapdragon® X Elite	44.25 ms	24 - 24 MB	NPU
FFNet-78S	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	29.407 ms	19 - 315 MB	NPU
FFNet-78S	QNN_DLC	float	Qualcomm® QCS8275 (Proxy)	187.95 ms	24 - 233 MB	NPU
FFNet-78S	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	42.6 ms	24 - 26 MB	NPU
FFNet-78S	QNN_DLC	float	Qualcomm® SA8775P	60.845 ms	24 - 234 MB	NPU
FFNet-78S	QNN_DLC	float	Qualcomm® QCS9075	73.42 ms	24 - 52 MB	NPU
FFNet-78S	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	86.396 ms	4 - 285 MB	NPU
FFNet-78S	QNN_DLC	float	Qualcomm® SA7255P	187.95 ms	24 - 233 MB	NPU
FFNet-78S	QNN_DLC	float	Qualcomm® SA8295P	66.496 ms	24 - 228 MB	NPU
FFNet-78S	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	21.845 ms	24 - 254 MB	NPU
FFNet-78S	QNN_DLC	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	5.884 ms	6 - 250 MB	NPU
FFNet-78S	QNN_DLC	w8a8	Snapdragon® X2 Elite	7.009 ms	6 - 6 MB	NPU
FFNet-78S	QNN_DLC	w8a8	Snapdragon® X Elite	17.604 ms	6 - 6 MB	NPU
FFNet-78S	QNN_DLC	w8a8	Snapdragon® 8 Gen 3 Mobile	11.609 ms	6 - 291 MB	NPU
FFNet-78S	QNN_DLC	w8a8	Qualcomm® QCS6490	72.281 ms	8 - 16 MB	NPU
FFNet-78S	QNN_DLC	w8a8	Qualcomm® QCS8275 (Proxy)	39.065 ms	6 - 225 MB	NPU
FFNet-78S	QNN_DLC	w8a8	Qualcomm® QCS8550 (Proxy)	16.781 ms	6 - 8 MB	NPU
FFNet-78S	QNN_DLC	w8a8	Qualcomm® SA8775P	17.196 ms	6 - 226 MB	NPU
FFNet-78S	QNN_DLC	w8a8	Qualcomm® QCS9075	20.011 ms	6 - 14 MB	NPU
FFNet-78S	QNN_DLC	w8a8	Qualcomm® QCM6690	165.642 ms	6 - 256 MB	NPU
FFNet-78S	QNN_DLC	w8a8	Qualcomm® QCS8450 (Proxy)	23.657 ms	6 - 293 MB	NPU
FFNet-78S	QNN_DLC	w8a8	Qualcomm® SA7255P	39.065 ms	6 - 225 MB	NPU
FFNet-78S	QNN_DLC	w8a8	Qualcomm® SA8295P	23.328 ms	6 - 227 MB	NPU
FFNet-78S	QNN_DLC	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	8.06 ms	6 - 238 MB	NPU
FFNet-78S	QNN_DLC	w8a8	Snapdragon® 7 Gen 4 Mobile	21.825 ms	6 - 242 MB	NPU
FFNet-78S	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	15.483 ms	2 - 281 MB	NPU
FFNet-78S	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	29.449 ms	2 - 378 MB	NPU
FFNet-78S	TFLITE	float	Qualcomm® QCS8275 (Proxy)	187.958 ms	3 - 245 MB	NPU
FFNet-78S	TFLITE	float	Qualcomm® QCS8550 (Proxy)	42.887 ms	2 - 5 MB	NPU
FFNet-78S	TFLITE	float	Qualcomm® SA8775P	61.023 ms	2 - 245 MB	NPU
FFNet-78S	TFLITE	float	Qualcomm® QCS9075	73.561 ms	0 - 82 MB	NPU
FFNet-78S	TFLITE	float	Qualcomm® QCS8450 (Proxy)	88.15 ms	3 - 362 MB	NPU
FFNet-78S	TFLITE	float	Qualcomm® SA7255P	187.958 ms	3 - 245 MB	NPU
FFNet-78S	TFLITE	float	Qualcomm® SA8295P	66.475 ms	2 - 240 MB	NPU
FFNet-78S	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	21.775 ms	2 - 264 MB	NPU
FFNet-78S	TFLITE	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	3.578 ms	0 - 242 MB	NPU
FFNet-78S	TFLITE	w8a8	Snapdragon® 8 Gen 3 Mobile	6.465 ms	1 - 290 MB	NPU
FFNet-78S	TFLITE	w8a8	Qualcomm® QCS6490	57.526 ms	1 - 36 MB	NPU
FFNet-78S	TFLITE	w8a8	Qualcomm® QCS8275 (Proxy)	26.245 ms	1 - 218 MB	NPU
FFNet-78S	TFLITE	w8a8	Qualcomm® QCS8550 (Proxy)	9.068 ms	1 - 3 MB	NPU
FFNet-78S	TFLITE	w8a8	Qualcomm® SA8775P	9.723 ms	1 - 219 MB	NPU
FFNet-78S	TFLITE	w8a8	Qualcomm® QCS9075	11.161 ms	1 - 36 MB	NPU
FFNet-78S	TFLITE	w8a8	Qualcomm® QCM6690	139.037 ms	1 - 248 MB	NPU
FFNet-78S	TFLITE	w8a8	Qualcomm® QCS8450 (Proxy)	18.45 ms	1 - 291 MB	NPU
FFNet-78S	TFLITE	w8a8	Qualcomm® SA7255P	26.245 ms	1 - 218 MB	NPU
FFNet-78S	TFLITE	w8a8	Qualcomm® SA8295P	14.886 ms	1 - 221 MB	NPU
FFNet-78S	TFLITE	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	5.04 ms	1 - 231 MB	NPU
FFNet-78S	TFLITE	w8a8	Snapdragon® 7 Gen 4 Mobile	14.574 ms	1 - 234 MB	NPU

License

• The license for the original implementation of FFNet-78S 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.