YamNet: Optimized for Qualcomm Devices

An audio event classifier trained on the AudioSet dataset to predict audio events from the AudioSet ontology employing the Mobilenet_v1 depthwise-separable convolution architecture.

This is based on the implementation of YamNet 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	w8a16	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	w8a16	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 YamNet 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 YamNet on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.audio_classification

Model Stats:

Model checkpoint: yamnet.pth
Input resolution: 1x1x96x64
Number of parameters: 3.73M
Model size (float): 14.2 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
YamNet	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	0.151 ms	0 - 25 MB	NPU
YamNet	ONNX	float	Snapdragon® 8 Elite Mobile	0.153 ms	0 - 21 MB	NPU
YamNet	ONNX	float	Snapdragon® X2 Elite	0.127 ms	8 - 8 MB	NPU
YamNet	ONNX	float	Snapdragon® X Elite	0.284 ms	8 - 8 MB	NPU
YamNet	ONNX	float	Snapdragon® X Elite	0.284 ms	8 - 8 MB	NPU
YamNet	ONNX	float	Snapdragon® 8 Gen 3 Mobile	0.184 ms	0 - 38 MB	NPU
YamNet	ONNX	float	Qualcomm® QCS8550 (Proxy)	0.223 ms	0 - 10 MB	NPU
YamNet	ONNX	float	Qualcomm® QCS9075	0.301 ms	0 - 3 MB	NPU
YamNet	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	0.153 ms	0 - 21 MB	NPU
YamNet	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.1 ms	0 - 27 MB	NPU
YamNet	ONNX	w8a16	Snapdragon® 8 Elite Mobile	0.1 ms	0 - 22 MB	NPU
YamNet	ONNX	w8a16	Snapdragon® X2 Elite	0.061 ms	0 - 0 MB	NPU
YamNet	ONNX	w8a16	Snapdragon® X Elite	0.219 ms	4 - 4 MB	NPU
YamNet	ONNX	w8a16	Snapdragon® X Elite	0.219 ms	4 - 4 MB	NPU
YamNet	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	0.11 ms	0 - 38 MB	NPU
YamNet	ONNX	w8a16	Qualcomm® QCS6490	13.81 ms	12 - 16 MB	CPU
YamNet	ONNX	w8a16	Qualcomm® QCS8550 (Proxy)	0.137 ms	0 - 6 MB	NPU
YamNet	ONNX	w8a16	Qualcomm® QCS9075	0.221 ms	0 - 3 MB	NPU
YamNet	ONNX	w8a16	Qualcomm® QCM6690	4.675 ms	1 - 8 MB	CPU
YamNet	ONNX	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	0.1 ms	0 - 22 MB	NPU
YamNet	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	3.401 ms	1 - 7 MB	CPU
YamNet	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	3.401 ms	1 - 7 MB	CPU
YamNet	ONNX	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.093 ms	0 - 27 MB	NPU
YamNet	ONNX	w8a8	Snapdragon® 8 Elite Mobile	0.096 ms	0 - 28 MB	NPU
YamNet	ONNX	w8a8	Snapdragon® X2 Elite	0.061 ms	0 - 0 MB	NPU
YamNet	ONNX	w8a8	Snapdragon® X Elite	0.217 ms	4 - 4 MB	NPU
YamNet	ONNX	w8a8	Snapdragon® X Elite	0.217 ms	4 - 4 MB	NPU
YamNet	ONNX	w8a8	Snapdragon® 8 Gen 3 Mobile	0.111 ms	0 - 38 MB	NPU
YamNet	ONNX	w8a8	Qualcomm® QCS6490	1.657 ms	0 - 6 MB	CPU
YamNet	ONNX	w8a8	Qualcomm® QCS8550 (Proxy)	0.141 ms	0 - 24 MB	NPU
YamNet	ONNX	w8a8	Qualcomm® QCS9075	0.215 ms	0 - 3 MB	NPU
YamNet	ONNX	w8a8	Qualcomm® QCM6690	0.876 ms	0 - 7 MB	CPU
YamNet	ONNX	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.096 ms	0 - 28 MB	NPU
YamNet	ONNX	w8a8	Snapdragon® 7 Gen 4 Mobile	0.622 ms	0 - 8 MB	CPU
YamNet	ONNX	w8a8	Snapdragon® 7 Gen 4 Mobile	0.622 ms	0 - 8 MB	CPU
YamNet	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	0.146 ms	0 - 23 MB	NPU
YamNet	QNN_DLC	float	Snapdragon® 8 Elite Mobile	0.153 ms	0 - 19 MB	NPU
YamNet	QNN_DLC	float	Snapdragon® X2 Elite	0.188 ms	0 - 0 MB	NPU
YamNet	QNN_DLC	float	Snapdragon® X Elite	0.291 ms	0 - 0 MB	NPU
YamNet	QNN_DLC	float	Snapdragon® X Elite	0.291 ms	0 - 0 MB	NPU
YamNet	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	0.181 ms	0 - 37 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® QCS8275 (Proxy)	0.669 ms	0 - 20 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	0.218 ms	0 - 4 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® SA8775P	0.365 ms	0 - 22 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® SA8775P	0.365 ms	0 - 22 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® SA8775P	0.365 ms	0 - 22 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® QCS9075	0.261 ms	2 - 4 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	0.352 ms	0 - 39 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® SA7255P	0.669 ms	0 - 20 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® SA8295P	0.562 ms	0 - 19 MB	NPU
YamNet	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	0.153 ms	0 - 19 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.099 ms	0 - 26 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® 8 Elite Mobile	0.099 ms	0 - 27 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® X2 Elite	0.154 ms	0 - 0 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® X Elite	0.208 ms	0 - 0 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® X Elite	0.208 ms	0 - 0 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	0.106 ms	0 - 37 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® QCS6490	0.613 ms	0 - 2 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® QCS8275 (Proxy)	0.429 ms	0 - 24 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® QCS8550 (Proxy)	0.14 ms	0 - 1 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® SA8775P	0.274 ms	0 - 26 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® SA8775P	0.274 ms	0 - 26 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® SA8775P	0.274 ms	0 - 26 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® QCS9075	0.186 ms	0 - 2 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® QCM6690	0.493 ms	0 - 24 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® QCS8450 (Proxy)	0.213 ms	0 - 37 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® SA7255P	0.429 ms	0 - 24 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® SA8295P	0.418 ms	0 - 22 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	0.099 ms	0 - 27 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	0.165 ms	0 - 23 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	0.165 ms	0 - 23 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.091 ms	0 - 26 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® 8 Elite Mobile	0.095 ms	0 - 23 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® X2 Elite	0.163 ms	0 - 0 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® X Elite	0.209 ms	0 - 0 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® X Elite	0.209 ms	0 - 0 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® 8 Gen 3 Mobile	0.111 ms	0 - 36 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® QCS6490	0.611 ms	0 - 2 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® QCS8275 (Proxy)	0.387 ms	0 - 25 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® QCS8550 (Proxy)	0.137 ms	0 - 1 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® SA8775P	0.269 ms	0 - 26 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® SA8775P	0.269 ms	0 - 26 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® SA8775P	0.269 ms	0 - 26 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® QCS9075	0.183 ms	0 - 2 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® QCM6690	0.431 ms	0 - 24 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® QCS8450 (Proxy)	0.203 ms	0 - 37 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® SA7255P	0.387 ms	0 - 25 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® SA8295P	0.432 ms	0 - 22 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.095 ms	0 - 23 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® 7 Gen 4 Mobile	0.159 ms	0 - 23 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® 7 Gen 4 Mobile	0.159 ms	0 - 23 MB	NPU
YamNet	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	0.145 ms	0 - 29 MB	NPU
YamNet	TFLITE	float	Snapdragon® 8 Elite Mobile	0.153 ms	0 - 26 MB	NPU
YamNet	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	0.187 ms	0 - 42 MB	NPU
YamNet	TFLITE	float	Qualcomm® QCS8275 (Proxy)	0.692 ms	0 - 28 MB	NPU
YamNet	TFLITE	float	Qualcomm® QCS8550 (Proxy)	0.218 ms	0 - 2 MB	NPU
YamNet	TFLITE	float	Qualcomm® SA8775P	0.376 ms	0 - 29 MB	NPU
YamNet	TFLITE	float	Qualcomm® SA8775P	0.376 ms	0 - 29 MB	NPU
YamNet	TFLITE	float	Qualcomm® SA8775P	0.376 ms	0 - 29 MB	NPU
YamNet	TFLITE	float	Qualcomm® QCS9075	0.27 ms	0 - 10 MB	NPU
YamNet	TFLITE	float	Qualcomm® QCS8450 (Proxy)	0.352 ms	0 - 44 MB	NPU
YamNet	TFLITE	float	Qualcomm® SA7255P	0.692 ms	0 - 28 MB	NPU
YamNet	TFLITE	float	Qualcomm® SA8295P	0.556 ms	0 - 25 MB	NPU
YamNet	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	0.153 ms	0 - 26 MB	NPU
YamNet	TFLITE	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.095 ms	0 - 26 MB	NPU
YamNet	TFLITE	w8a8	Snapdragon® 8 Elite Mobile	0.099 ms	0 - 23 MB	NPU
YamNet	TFLITE	w8a8	Snapdragon® 8 Gen 3 Mobile	0.112 ms	0 - 36 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® QCS6490	0.51 ms	0 - 6 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® QCS8275 (Proxy)	0.411 ms	0 - 24 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® QCS8550 (Proxy)	0.129 ms	0 - 2 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® SA8775P	0.286 ms	0 - 25 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® SA8775P	0.286 ms	0 - 25 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® SA8775P	0.286 ms	0 - 25 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® QCS9075	0.193 ms	0 - 6 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® QCM6690	0.435 ms	0 - 23 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® QCS8450 (Proxy)	0.207 ms	0 - 38 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® SA7255P	0.411 ms	0 - 24 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® SA8295P	0.422 ms	0 - 20 MB	NPU
YamNet	TFLITE	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.099 ms	0 - 23 MB	NPU
YamNet	TFLITE	w8a8	Snapdragon® 7 Gen 4 Mobile	0.172 ms	0 - 22 MB	NPU
YamNet	TFLITE	w8a8	Snapdragon® 7 Gen 4 Mobile	0.172 ms	0 - 22 MB	NPU

License

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

References

Community

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Paper for qualcomm/YamNet

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Paper • 1704.04861 • Published Apr 17, 2017 • 1