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  ---
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- datasets:
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- - imagenet-1k
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- - imagenet-22k
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  library_name: pytorch
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  license: bsd-3-clause
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  pipeline_tag: image-classification
@@ -37,27 +34,29 @@ More details on model performance across various devices, can be found
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  | Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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  |---|---|---|---|---|---|---|---|---|
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- | GoogLeNet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 1.015 ms | 0 - 24 MB | FP16 | NPU | [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) |
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- | GoogLeNet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 1.077 ms | 0 - 33 MB | FP16 | NPU | [GoogLeNet.so](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.so) |
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- | GoogLeNet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 1.143 ms | 0 - 35 MB | FP16 | NPU | [GoogLeNet.onnx](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.onnx) |
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- | GoogLeNet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.743 ms | 0 - 50 MB | FP16 | NPU | [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) |
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- | GoogLeNet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.787 ms | 0 - 15 MB | FP16 | NPU | [GoogLeNet.so](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.so) |
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- | GoogLeNet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 0.901 ms | 0 - 53 MB | FP16 | NPU | [GoogLeNet.onnx](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.onnx) |
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- | GoogLeNet | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 1.013 ms | 0 - 1 MB | FP16 | NPU | [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) |
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- | GoogLeNet | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.899 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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- | GoogLeNet | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 1.015 ms | 0 - 81 MB | FP16 | NPU | [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) |
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- | GoogLeNet | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.904 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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- | GoogLeNet | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 1.012 ms | 0 - 1 MB | FP16 | NPU | [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) |
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- | GoogLeNet | SA8775 (Proxy) | SA8775P Proxy | QNN | 0.896 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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- | GoogLeNet | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 1.011 ms | 0 - 4 MB | FP16 | NPU | [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) |
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- | GoogLeNet | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.897 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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- | GoogLeNet | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1.501 ms | 0 - 51 MB | FP16 | NPU | [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) |
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- | GoogLeNet | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.577 ms | 1 - 20 MB | FP16 | NPU | Use Export Script |
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- | GoogLeNet | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 0.674 ms | 0 - 19 MB | FP16 | NPU | [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) |
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- | GoogLeNet | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.719 ms | 0 - 11 MB | FP16 | NPU | Use Export Script |
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- | GoogLeNet | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.846 ms | 0 - 20 MB | FP16 | NPU | [GoogLeNet.onnx](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.onnx) |
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- | GoogLeNet | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.06 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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- | GoogLeNet | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 1.334 ms | 14 - 14 MB | FP16 | NPU | [GoogLeNet.onnx](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.onnx) |
 
 
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@@ -122,7 +121,7 @@ GoogLeNet
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 1.0
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- Estimated peak memory usage (MB): [0, 24]
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  Total # Ops : 84
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  Compute Unit(s) : NPU (84 ops)
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  ```
 
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  ---
 
 
 
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  library_name: pytorch
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  license: bsd-3-clause
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  pipeline_tag: image-classification
 
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  | Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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  |---|---|---|---|---|---|---|---|---|
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+ | GoogLeNet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 1.012 ms | 0 - 5 MB | FP16 | NPU | [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) |
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+ | GoogLeNet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 1.08 ms | 0 - 24 MB | FP16 | NPU | [GoogLeNet.so](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.so) |
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+ | GoogLeNet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 1.126 ms | 0 - 1 MB | FP16 | NPU | [GoogLeNet.onnx](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.onnx) |
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+ | GoogLeNet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.639 ms | 0 - 51 MB | FP16 | NPU | [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) |
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+ | GoogLeNet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.684 ms | 0 - 13 MB | FP16 | NPU | [GoogLeNet.so](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.so) |
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+ | GoogLeNet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 0.784 ms | 0 - 52 MB | FP16 | NPU | [GoogLeNet.onnx](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.onnx) |
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+ | GoogLeNet | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 0.672 ms | 0 - 19 MB | FP16 | NPU | [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) |
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+ | GoogLeNet | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.722 ms | 1 - 13 MB | FP16 | NPU | Use Export Script |
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+ | GoogLeNet | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.845 ms | 0 - 20 MB | FP16 | NPU | [GoogLeNet.onnx](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.onnx) |
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+ | GoogLeNet | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 1.012 ms | 0 - 1 MB | FP16 | NPU | [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) |
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+ | GoogLeNet | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.896 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | GoogLeNet | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 1.025 ms | 0 - 1 MB | FP16 | NPU | [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) |
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+ | GoogLeNet | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.897 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | GoogLeNet | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 1.015 ms | 0 - 1 MB | FP16 | NPU | [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) |
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+ | GoogLeNet | SA8775 (Proxy) | SA8775P Proxy | QNN | 0.904 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | GoogLeNet | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 1.017 ms | 0 - 2 MB | FP16 | NPU | [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) |
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+ | GoogLeNet | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.896 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | GoogLeNet | SA8295P ADP | SA8295P | TFLITE | 2.012 ms | 0 - 18 MB | FP16 | NPU | [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) |
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+ | GoogLeNet | SA8295P ADP | SA8295P | QNN | 1.975 ms | 0 - 6 MB | FP16 | NPU | Use Export Script |
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+ | GoogLeNet | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1.496 ms | 0 - 51 MB | FP16 | NPU | [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) |
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+ | GoogLeNet | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.568 ms | 1 - 18 MB | FP16 | NPU | Use Export Script |
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+ | GoogLeNet | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.063 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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+ | GoogLeNet | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 1.309 ms | 14 - 14 MB | FP16 | NPU | [GoogLeNet.onnx](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.onnx) |
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 1.0
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+ Estimated peak memory usage (MB): [0, 5]
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  Total # Ops : 84
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  Compute Unit(s) : NPU (84 ops)
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  ```