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ResNeXt101

Image Classification
PyTorch
TF Lite
ONNX
backbone
android
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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
@@ -38,27 +35,29 @@ 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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- | ResNeXt101 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 6.555 ms | 0 - 2 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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- | ResNeXt101 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 6.671 ms | 0 - 33 MB | FP16 | NPU | [ResNeXt101.so](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.so) |
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- | ResNeXt101 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 7.073 ms | 0 - 194 MB | FP16 | NPU | [ResNeXt101.onnx](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.onnx) |
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- | ResNeXt101 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 5.363 ms | 0 - 369 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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- | ResNeXt101 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 5.439 ms | 1 - 92 MB | FP16 | NPU | [ResNeXt101.so](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.so) |
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- | ResNeXt101 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 5.887 ms | 0 - 375 MB | FP16 | NPU | [ResNeXt101.onnx](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.onnx) |
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- | ResNeXt101 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 6.521 ms | 0 - 2 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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- | ResNeXt101 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 6.844 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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- | ResNeXt101 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 6.558 ms | 0 - 2 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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- | ResNeXt101 | SA8255 (Proxy) | SA8255P Proxy | QNN | 6.784 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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- | ResNeXt101 | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 6.484 ms | 0 - 2 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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- | ResNeXt101 | SA8775 (Proxy) | SA8775P Proxy | QNN | 6.802 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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- | ResNeXt101 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 6.518 ms | 0 - 2 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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- | ResNeXt101 | SA8650 (Proxy) | SA8650P Proxy | QNN | 6.778 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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- | ResNeXt101 | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 9.211 ms | 0 - 165 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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- | ResNeXt101 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 9.353 ms | 0 - 53 MB | FP16 | NPU | Use Export Script |
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- | ResNeXt101 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 4.612 ms | 0 - 157 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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- | ResNeXt101 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 4.754 ms | 0 - 96 MB | FP16 | NPU | Use Export Script |
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- | ResNeXt101 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 5.023 ms | 1 - 162 MB | FP16 | NPU | [ResNeXt101.onnx](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.onnx) |
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- | ResNeXt101 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 6.899 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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- | ResNeXt101 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 6.813 ms | 173 - 173 MB | FP16 | NPU | [ResNeXt101.onnx](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.onnx) |
 
 
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@@ -122,7 +121,7 @@ Profiling Results
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  ResNeXt101
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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- Estimated inference time (ms) : 6.6
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  Estimated peak memory usage (MB): [0, 2]
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  Total # Ops : 147
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  Compute Unit(s) : NPU (147 ops)
 
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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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+ | ResNeXt101 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 6.549 ms | 0 - 2 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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+ | ResNeXt101 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 6.664 ms | 0 - 34 MB | FP16 | NPU | [ResNeXt101.so](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.so) |
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+ | ResNeXt101 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 7.096 ms | 0 - 1676 MB | FP16 | NPU | [ResNeXt101.onnx](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.onnx) |
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+ | ResNeXt101 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 4.821 ms | 0 - 369 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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+ | ResNeXt101 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 4.813 ms | 1 - 92 MB | FP16 | NPU | [ResNeXt101.so](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.so) |
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+ | ResNeXt101 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 5.105 ms | 1 - 374 MB | FP16 | NPU | [ResNeXt101.onnx](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.onnx) |
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+ | ResNeXt101 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 4.639 ms | 0 - 158 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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+ | ResNeXt101 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 4.097 ms | 0 - 96 MB | FP16 | NPU | Use Export Script |
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+ | ResNeXt101 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 4.514 ms | 0 - 159 MB | FP16 | NPU | [ResNeXt101.onnx](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.onnx) |
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+ | ResNeXt101 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 6.531 ms | 0 - 2 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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+ | ResNeXt101 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 6.806 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | ResNeXt101 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 6.544 ms | 0 - 2 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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+ | ResNeXt101 | SA8255 (Proxy) | SA8255P Proxy | QNN | 6.818 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | ResNeXt101 | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 6.546 ms | 0 - 2 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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+ | ResNeXt101 | SA8775 (Proxy) | SA8775P Proxy | QNN | 6.801 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | ResNeXt101 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 6.488 ms | 0 - 2 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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+ | ResNeXt101 | SA8650 (Proxy) | SA8650P Proxy | QNN | 6.856 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | ResNeXt101 | SA8295P ADP | SA8295P | TFLITE | 10.723 ms | 0 - 101 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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+ | ResNeXt101 | SA8295P ADP | SA8295P | QNN | 10.851 ms | 1 - 6 MB | FP16 | NPU | Use Export Script |
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+ | ResNeXt101 | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 9.206 ms | 0 - 163 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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+ | ResNeXt101 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 9.254 ms | 0 - 51 MB | FP16 | NPU | Use Export Script |
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+ | ResNeXt101 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 6.872 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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+ | ResNeXt101 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 6.792 ms | 173 - 173 MB | FP16 | NPU | [ResNeXt101.onnx](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.onnx) |
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  ResNeXt101
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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+ Estimated inference time (ms) : 6.5
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  Estimated peak memory usage (MB): [0, 2]
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  Total # Ops : 147
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  Compute Unit(s) : NPU (147 ops)