FFNet-78S-LowRes: Optimized for Qualcomm Devices

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

Model Details

Model Type: Model_use_case.semantic_segmentation

Model Stats:

• Model checkpoint: ffnet78S_BCC_cityscapes_state_dict_quarts_pre_down
• Input resolution: 1024x512
• Number of output classes: 19
• Number of parameters: 26.8M
• Model size (float): 102 MB
• Model size (w8a8): 26.0 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
FFNet-78S-LowRes	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	3.821 ms	7 - 182 MB	NPU
FFNet-78S-LowRes	ONNX	float	Snapdragon® X2 Elite	4.22 ms	47 - 47 MB	NPU
FFNet-78S-LowRes	ONNX	float	Snapdragon® X Elite	8.201 ms	46 - 46 MB	NPU
FFNet-78S-LowRes	ONNX	float	Snapdragon® 8 Gen 3 Mobile	5.561 ms	1 - 208 MB	NPU
FFNet-78S-LowRes	ONNX	float	Qualcomm® QCS8550 (Proxy)	7.809 ms	6 - 9 MB	NPU
FFNet-78S-LowRes	ONNX	float	Qualcomm® QCS9075	12.879 ms	6 - 15 MB	NPU
FFNet-78S-LowRes	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	4.566 ms	2 - 176 MB	NPU
FFNet-78S-LowRes	ONNX	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	1.273 ms	0 - 61 MB	NPU
FFNet-78S-LowRes	ONNX	w8a8	Snapdragon® X2 Elite	1.323 ms	25 - 25 MB	NPU
FFNet-78S-LowRes	ONNX	w8a8	Snapdragon® X Elite	2.995 ms	25 - 25 MB	NPU
FFNet-78S-LowRes	ONNX	w8a8	Snapdragon® 8 Gen 3 Mobile	1.989 ms	0 - 119 MB	NPU
FFNet-78S-LowRes	ONNX	w8a8	Qualcomm® QCS6490	109.088 ms	56 - 117 MB	CPU
FFNet-78S-LowRes	ONNX	w8a8	Qualcomm® QCS8550 (Proxy)	2.835 ms	0 - 57 MB	NPU
FFNet-78S-LowRes	ONNX	w8a8	Qualcomm® QCS9075	3.328 ms	1 - 4 MB	NPU
FFNet-78S-LowRes	ONNX	w8a8	Qualcomm® QCM6690	118.401 ms	60 - 69 MB	CPU
FFNet-78S-LowRes	ONNX	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	1.506 ms	0 - 62 MB	NPU
FFNet-78S-LowRes	ONNX	w8a8	Snapdragon® 7 Gen 4 Mobile	119.078 ms	70 - 81 MB	CPU
FFNet-78S-LowRes	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	6.581 ms	6 - 55 MB	NPU
FFNet-78S-LowRes	QNN_DLC	float	Snapdragon® X2 Elite	7.599 ms	6 - 6 MB	NPU
FFNet-78S-LowRes	QNN_DLC	float	Snapdragon® X Elite	15.45 ms	6 - 6 MB	NPU
FFNet-78S-LowRes	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	9.746 ms	6 - 76 MB	NPU
FFNet-78S-LowRes	QNN_DLC	float	Qualcomm® QCS8275 (Proxy)	51.192 ms	0 - 42 MB	NPU
FFNet-78S-LowRes	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	14.731 ms	6 - 7 MB	NPU
FFNet-78S-LowRes	QNN_DLC	float	Qualcomm® SA8775P	19.179 ms	1 - 45 MB	NPU
FFNet-78S-LowRes	QNN_DLC	float	Qualcomm® QCS9075	18.515 ms	6 - 14 MB	NPU
FFNet-78S-LowRes	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	26.6 ms	6 - 72 MB	NPU
FFNet-78S-LowRes	QNN_DLC	float	Qualcomm® SA7255P	51.192 ms	0 - 42 MB	NPU
FFNet-78S-LowRes	QNN_DLC	float	Qualcomm® SA8295P	20.993 ms	0 - 35 MB	NPU
FFNet-78S-LowRes	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	8.071 ms	6 - 52 MB	NPU
FFNet-78S-LowRes	QNN_DLC	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	1.899 ms	2 - 58 MB	NPU
FFNet-78S-LowRes	QNN_DLC	w8a8	Snapdragon® X2 Elite	2.235 ms	2 - 2 MB	NPU
FFNet-78S-LowRes	QNN_DLC	w8a8	Snapdragon® X Elite	5.1 ms	2 - 2 MB	NPU
FFNet-78S-LowRes	QNN_DLC	w8a8	Snapdragon® 8 Gen 3 Mobile	3.356 ms	2 - 101 MB	NPU
FFNet-78S-LowRes	QNN_DLC	w8a8	Qualcomm® QCS6490	15.043 ms	2 - 5 MB	NPU
FFNet-78S-LowRes	QNN_DLC	w8a8	Qualcomm® QCS8275 (Proxy)	10.641 ms	1 - 56 MB	NPU
FFNet-78S-LowRes	QNN_DLC	w8a8	Qualcomm® QCS8550 (Proxy)	4.778 ms	2 - 3 MB	NPU
FFNet-78S-LowRes	QNN_DLC	w8a8	Qualcomm® SA8775P	5.239 ms	2 - 57 MB	NPU
FFNet-78S-LowRes	QNN_DLC	w8a8	Qualcomm® QCS9075	7.042 ms	4 - 7 MB	NPU
FFNet-78S-LowRes	QNN_DLC	w8a8	Qualcomm® QCM6690	36.02 ms	2 - 192 MB	NPU
FFNet-78S-LowRes	QNN_DLC	w8a8	Qualcomm® QCS8450 (Proxy)	7.174 ms	2 - 100 MB	NPU
FFNet-78S-LowRes	QNN_DLC	w8a8	Qualcomm® SA7255P	10.641 ms	1 - 56 MB	NPU
FFNet-78S-LowRes	QNN_DLC	w8a8	Qualcomm® SA8295P	6.694 ms	1 - 54 MB	NPU
FFNet-78S-LowRes	QNN_DLC	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	2.354 ms	2 - 55 MB	NPU
FFNet-78S-LowRes	QNN_DLC	w8a8	Snapdragon® 7 Gen 4 Mobile	7.315 ms	2 - 185 MB	NPU
FFNet-78S-LowRes	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	6.578 ms	1 - 79 MB	NPU
FFNet-78S-LowRes	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	9.852 ms	1 - 155 MB	NPU
FFNet-78S-LowRes	TFLITE	float	Qualcomm® QCS8275 (Proxy)	51.052 ms	1 - 76 MB	NPU
FFNet-78S-LowRes	TFLITE	float	Qualcomm® QCS8550 (Proxy)	14.558 ms	1 - 4 MB	NPU
FFNet-78S-LowRes	TFLITE	float	Qualcomm® SA8775P	19.114 ms	1 - 77 MB	NPU
FFNet-78S-LowRes	TFLITE	float	Qualcomm® QCS9075	17.628 ms	0 - 60 MB	NPU
FFNet-78S-LowRes	TFLITE	float	Qualcomm® QCS8450 (Proxy)	26.242 ms	0 - 146 MB	NPU
FFNet-78S-LowRes	TFLITE	float	Qualcomm® SA7255P	51.052 ms	1 - 76 MB	NPU
FFNet-78S-LowRes	TFLITE	float	Qualcomm® SA8295P	21.02 ms	1 - 67 MB	NPU
FFNet-78S-LowRes	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	8.123 ms	0 - 82 MB	NPU
FFNet-78S-LowRes	TFLITE	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	1.334 ms	0 - 54 MB	NPU
FFNet-78S-LowRes	TFLITE	w8a8	Snapdragon® 8 Gen 3 Mobile	2.049 ms	0 - 105 MB	NPU
FFNet-78S-LowRes	TFLITE	w8a8	Qualcomm® QCS6490	9.281 ms	0 - 30 MB	NPU
FFNet-78S-LowRes	TFLITE	w8a8	Qualcomm® QCS8275 (Proxy)	7.463 ms	0 - 51 MB	NPU
FFNet-78S-LowRes	TFLITE	w8a8	Qualcomm® QCS8550 (Proxy)	2.865 ms	0 - 4 MB	NPU
FFNet-78S-LowRes	TFLITE	w8a8	Qualcomm® SA8775P	3.365 ms	0 - 54 MB	NPU
FFNet-78S-LowRes	TFLITE	w8a8	Qualcomm® QCS9075	3.369 ms	0 - 29 MB	NPU
FFNet-78S-LowRes	TFLITE	w8a8	Qualcomm® QCM6690	30.986 ms	0 - 189 MB	NPU
FFNet-78S-LowRes	TFLITE	w8a8	Qualcomm® QCS8450 (Proxy)	3.617 ms	0 - 100 MB	NPU
FFNet-78S-LowRes	TFLITE	w8a8	Qualcomm® SA7255P	7.463 ms	0 - 51 MB	NPU
FFNet-78S-LowRes	TFLITE	w8a8	Qualcomm® SA8295P	4.543 ms	0 - 49 MB	NPU
FFNet-78S-LowRes	TFLITE	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	1.555 ms	0 - 54 MB	NPU
FFNet-78S-LowRes	TFLITE	w8a8	Snapdragon® 7 Gen 4 Mobile	4.452 ms	0 - 180 MB	NPU

License

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