EfficientFormer: Optimized for Qualcomm Devices

EfficientFormer is a vision transformer model that can classify images from the Imagenet dataset.

This is based on the implementation of EfficientFormer 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	w8a16	Universal	QAIRT 2.45, ONNX Runtime 1.25.0	Download
QNN_DLC	float	Universal	QAIRT 2.45	Download
QNN_DLC	w8a16	Universal	QAIRT 2.45	Download
TFLITE	float	Universal	QAIRT 2.45	Download

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

Model Details

Model Type: Model_use_case.image_classification

Model Stats:

• Model checkpoint: efficientformer_l1_300d
• Input resolution: 224x224
• Number of parameters: 12.3M
• Model size (float): 46.9 MB
• Model size (w8a16): 12.2 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
EfficientFormer	ONNX	float	Snapdragon® X2 Elite	0.635 ms	2 - 2 MB	NPU
EfficientFormer	ONNX	float	Snapdragon® X Elite	1.376 ms	24 - 24 MB	NPU
EfficientFormer	ONNX	float	Snapdragon® 8 Gen 3 Mobile	0.915 ms	0 - 79 MB	NPU
EfficientFormer	ONNX	float	Snapdragon® 8 Gen 1 Mobile	5.095 ms	1 - 83 MB	NPU
EfficientFormer	ONNX	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	1.324 ms	0 - 39 MB	NPU
EfficientFormer	ONNX	float	Qualcomm® QCS8450	5.095 ms	1 - 83 MB	NPU
EfficientFormer	ONNX	float	Qualcomm® Dragonwing™ IQ-9075	1.759 ms	1 - 3 MB	NPU
EfficientFormer	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	0.612 ms	0 - 45 MB	NPU
EfficientFormer	ONNX	float	Snapdragon® 8 Elite Mobile	0.69 ms	0 - 44 MB	NPU
EfficientFormer	ONNX	float	Qualcomm® Dragonwing™ Q-8750	0.69 ms	0 - 44 MB	NPU
EfficientFormer	ONNX	float	Qualcomm® Dragonwing™ IQ-X7181	1.376 ms	24 - 24 MB	NPU
EfficientFormer	ONNX	w8a16	Snapdragon® X2 Elite	0.567 ms	1 - 1 MB	NPU
EfficientFormer	ONNX	w8a16	Snapdragon® X Elite	1.378 ms	12 - 12 MB	NPU
EfficientFormer	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	0.898 ms	0 - 95 MB	NPU
EfficientFormer	ONNX	w8a16	Snapdragon® 8 Gen 1 Mobile	2.216 ms	0 - 87 MB	NPU
EfficientFormer	ONNX	w8a16	Qualcomm® Dragonwing™ QCS6490	5.752 ms	1 - 3 MB	NPU
EfficientFormer	ONNX	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	1.319 ms	0 - 3 MB	NPU
EfficientFormer	ONNX	w8a16	Qualcomm® QCS8450	2.216 ms	0 - 87 MB	NPU
EfficientFormer	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-9075	1.573 ms	0 - 3 MB	NPU
EfficientFormer	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	1.469 ms	0 - 70 MB	NPU
EfficientFormer	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.532 ms	0 - 72 MB	NPU
EfficientFormer	ONNX	w8a16	Qualcomm® Dragonwing™ Q-6690	6.234 ms	0 - 187 MB	NPU
EfficientFormer	ONNX	w8a16	Snapdragon® 8 Elite Mobile	0.609 ms	0 - 61 MB	NPU
EfficientFormer	ONNX	w8a16	Qualcomm® Dragonwing™ Q-7790	1.469 ms	0 - 70 MB	NPU
EfficientFormer	ONNX	w8a16	Qualcomm® Dragonwing™ Q-8750	0.609 ms	0 - 61 MB	NPU
EfficientFormer	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-X7181	1.378 ms	12 - 12 MB	NPU
EfficientFormer	QNN_DLC	float	Snapdragon® X2 Elite	0.92 ms	1 - 1 MB	NPU
EfficientFormer	QNN_DLC	float	Snapdragon® X Elite	1.675 ms	1 - 1 MB	NPU
EfficientFormer	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	1.036 ms	0 - 75 MB	NPU
EfficientFormer	QNN_DLC	float	Snapdragon® 8 Gen 1 Mobile	5.577 ms	0 - 77 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® QCS8275	4.896 ms	0 - 40 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	1.479 ms	1 - 2 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® SA8775P	2.068 ms	1 - 43 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® SA8650P	2.068 ms	1 - 43 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® SA8255P	2.068 ms	1 - 43 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® QCS8450	5.577 ms	0 - 77 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-9075	2.108 ms	1 - 3 MB	NPU
EfficientFormer	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	0.65 ms	1 - 45 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® SA7255P	4.896 ms	0 - 40 MB	NPU
EfficientFormer	QNN_DLC	float	Snapdragon® 8 Elite Mobile	0.769 ms	0 - 44 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® SA8295P	3.989 ms	1 - 39 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® Dragonwing™ Q-8750	0.769 ms	0 - 44 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-X7181	1.675 ms	1 - 1 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Snapdragon® X2 Elite	0.885 ms	0 - 0 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Snapdragon® X Elite	1.781 ms	0 - 0 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	1.075 ms	0 - 80 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® QCS8275	3.241 ms	0 - 58 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	1.563 ms	0 - 2 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® SA8775P	1.892 ms	0 - 59 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® SA8650P	1.892 ms	0 - 59 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® SA8255P	1.892 ms	0 - 59 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-9075	1.735 ms	2 - 4 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	1.692 ms	0 - 62 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.615 ms	0 - 65 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-6690	6.987 ms	0 - 178 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® SA7255P	3.241 ms	0 - 58 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Snapdragon® 8 Elite Mobile	0.705 ms	0 - 52 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-7790	1.692 ms	0 - 62 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-8750	0.705 ms	0 - 52 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-X7181	1.781 ms	0 - 0 MB	NPU
EfficientFormer	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	1.031 ms	0 - 88 MB	NPU
EfficientFormer	TFLITE	float	Snapdragon® 8 Gen 1 Mobile	5.541 ms	0 - 96 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® QCS8275	4.852 ms	0 - 52 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	1.469 ms	0 - 29 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® SA8775P	2.066 ms	0 - 53 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® SA8650P	2.066 ms	0 - 53 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® SA8255P	2.066 ms	0 - 53 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® QCS8450	5.541 ms	0 - 96 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® Dragonwing™ IQ-9075	1.886 ms	0 - 27 MB	NPU
EfficientFormer	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	0.655 ms	0 - 53 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® SA7255P	4.852 ms	0 - 52 MB	NPU
EfficientFormer	TFLITE	float	Snapdragon® 8 Elite Mobile	0.779 ms	0 - 56 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® SA8295P	4.018 ms	0 - 47 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® Dragonwing™ Q-8750	0.779 ms	0 - 56 MB	NPU

License

• The license for the original implementation of EfficientFormer can be found here.

References

• Rethinking Vision Transformers for MobileNet Size and Speed
• 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.