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YamNet

Audio Classification
PyTorch
LiteRT
real_time
android
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v0.30.5

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See https://github.com/quic/ai-hub-models/releases/v0.30.5 for changelog.

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  1. README.md +32 -30
README.md CHANGED
@@ -35,33 +35,35 @@ More details on model performance across various devices, can be found
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  | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
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  |---|---|---|---|---|---|---|---|---|
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- | YamNet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 0.674 ms | 0 - 19 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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- | YamNet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 0.655 ms | 0 - 10 MB | NPU | Use Export Script |
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- | YamNet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 0.401 ms | 0 - 27 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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- | YamNet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 0.441 ms | 0 - 22 MB | NPU | Use Export Script |
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- | YamNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 0.219 ms | 0 - 4 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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- | YamNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 0.204 ms | 0 - 2 MB | NPU | Use Export Script |
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- | YamNet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 0.395 ms | 0 - 22 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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- | YamNet | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 0.674 ms | 0 - 19 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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- | YamNet | float | SA7255P ADP | Qualcomm® SA7255P | QNN | 0.655 ms | 0 - 10 MB | NPU | Use Export Script |
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- | YamNet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 0.219 ms | 0 - 63 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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- | YamNet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 0.22 ms | 0 - 2 MB | NPU | Use Export Script |
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- | YamNet | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 0.551 ms | 0 - 22 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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- | YamNet | float | SA8295P ADP | Qualcomm® SA8295P | QNN | 0.523 ms | 0 - 19 MB | NPU | Use Export Script |
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- | YamNet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 0.222 ms | 0 - 64 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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- | YamNet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 0.22 ms | 0 - 2 MB | NPU | Use Export Script |
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- | YamNet | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 0.395 ms | 0 - 22 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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- | YamNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 0.219 ms | 0 - 63 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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- | YamNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 0.215 ms | 0 - 42 MB | NPU | Use Export Script |
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- | YamNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 0.3 ms | 0 - 41 MB | NPU | [YamNet.onnx](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.onnx) |
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- | YamNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 0.185 ms | 0 - 30 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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- | YamNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 0.173 ms | 0 - 23 MB | NPU | Use Export Script |
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- | YamNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 0.246 ms | 0 - 28 MB | NPU | [YamNet.onnx](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.onnx) |
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- | YamNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 0.186 ms | 0 - 25 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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- | YamNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 0.168 ms | 0 - 15 MB | NPU | Use Export Script |
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- | YamNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 0.242 ms | 0 - 18 MB | NPU | [YamNet.onnx](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.onnx) |
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- | YamNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.255 ms | 0 - 0 MB | NPU | Use Export Script |
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- | YamNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.279 ms | 8 - 8 MB | NPU | [YamNet.onnx](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.onnx) |
 
 
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@@ -126,7 +128,7 @@ YamNet
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  Device : cs_8275 (ANDROID 14)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 0.7
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- Estimated peak memory usage (MB): [0, 19]
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  Total # Ops : 31
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  Compute Unit(s) : npu (31 ops) gpu (0 ops) cpu (0 ops)
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  ```
@@ -215,13 +217,13 @@ AI Hub. [Sign up for access](https://myaccount.qualcomm.com/signup).
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  You can also run the demo on-device.
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  ```bash
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- python -m qai_hub_models.models.yamnet.demo --on-device
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  ```
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  **NOTE**: If you want running in a Jupyter Notebook or Google Colab like
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  environment, please add the following to your cell (instead of the above).
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  ```
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- %run -m qai_hub_models.models.yamnet.demo -- --on-device
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  ```
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  | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
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  |---|---|---|---|---|---|---|---|---|
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+ | YamNet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 0.681 ms | 0 - 20 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 0.654 ms | 0 - 10 MB | NPU | Use Export Script |
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+ | YamNet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 0.314 ms | 0 - 36 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 0.354 ms | 0 - 26 MB | NPU | Use Export Script |
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+ | YamNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 0.208 ms | 0 - 72 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 0.218 ms | 0 - 2 MB | NPU | Use Export Script |
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+ | YamNet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 0.366 ms | 0 - 20 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 0.345 ms | 0 - 11 MB | NPU | Use Export Script |
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+ | YamNet | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 0.681 ms | 0 - 20 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | SA7255P ADP | Qualcomm® SA7255P | QNN | 0.654 ms | 0 - 10 MB | NPU | Use Export Script |
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+ | YamNet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 0.2 ms | 0 - 72 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 0.211 ms | 0 - 2 MB | NPU | Use Export Script |
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+ | YamNet | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 0.525 ms | 0 - 25 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | SA8295P ADP | Qualcomm® SA8295P | QNN | 0.507 ms | 0 - 17 MB | NPU | Use Export Script |
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+ | YamNet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 0.211 ms | 0 - 72 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 0.214 ms | 0 - 3 MB | NPU | Use Export Script |
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+ | YamNet | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 0.366 ms | 0 - 20 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | SA8775P ADP | Qualcomm® SA8775P | QNN | 0.345 ms | 0 - 11 MB | NPU | Use Export Script |
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+ | YamNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 0.201 ms | 0 - 73 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 0.218 ms | 0 - 49 MB | NPU | Use Export Script |
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+ | YamNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 0.291 ms | 0 - 25 MB | NPU | [YamNet.onnx](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.onnx) |
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+ | YamNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 0.172 ms | 0 - 32 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 0.165 ms | 0 - 28 MB | NPU | Use Export Script |
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+ | YamNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 0.239 ms | 0 - 24 MB | NPU | [YamNet.onnx](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.onnx) |
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+ | YamNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 0.156 ms | 0 - 24 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 0.156 ms | 0 - 15 MB | NPU | Use Export Script |
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+ | YamNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 0.249 ms | 0 - 15 MB | NPU | [YamNet.onnx](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.onnx) |
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+ | YamNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.249 ms | 0 - 0 MB | NPU | Use Export Script |
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+ | YamNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.27 ms | 8 - 8 MB | NPU | [YamNet.onnx](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.onnx) |
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  Device : cs_8275 (ANDROID 14)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 0.7
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+ Estimated peak memory usage (MB): [0, 20]
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  Total # Ops : 31
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  Compute Unit(s) : npu (31 ops) gpu (0 ops) cpu (0 ops)
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  ```
 
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  You can also run the demo on-device.
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  ```bash
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+ python -m qai_hub_models.models.yamnet.demo --eval-mode on-device
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  ```
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  **NOTE**: If you want running in a Jupyter Notebook or Google Colab like
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  environment, please add the following to your cell (instead of the above).
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  ```
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+ %run -m qai_hub_models.models.yamnet.demo -- --eval-mode on-device
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  ```
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