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ConvNext-Base

Image Classification
PyTorch
TF Lite
ONNX
android
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@@ -34,21 +34,21 @@ 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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- | ConvNext-Base | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 7.766 ms | 0 - 22 MB | FP16 | NPU | [ConvNext-Base.tflite](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.tflite) |
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- | ConvNext-Base | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 8.507 ms | 0 - 24 MB | FP16 | NPU | [ConvNext-Base.so](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.so) |
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- | ConvNext-Base | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 37.994 ms | 0 - 194 MB | FP16 | NPU | [ConvNext-Base.onnx](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.onnx) |
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- | ConvNext-Base | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 5.756 ms | 0 - 62 MB | FP16 | NPU | [ConvNext-Base.tflite](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.tflite) |
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- | ConvNext-Base | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 6.1 ms | 0 - 58 MB | FP16 | NPU | [ConvNext-Base.so](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.so) |
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- | ConvNext-Base | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 26.476 ms | 0 - 739 MB | FP16 | NPU | [ConvNext-Base.onnx](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.onnx) |
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- | ConvNext-Base | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 4.357 ms | 0 - 71 MB | FP16 | NPU | [ConvNext-Base.tflite](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.tflite) |
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- | ConvNext-Base | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 5.549 ms | 0 - 73 MB | FP16 | NPU | Use Export Script |
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- | ConvNext-Base | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 23.401 ms | 0 - 169 MB | FP16 | NPU | [ConvNext-Base.onnx](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.onnx) |
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- | ConvNext-Base | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 7.775 ms | 0 - 23 MB | FP16 | NPU | [ConvNext-Base.tflite](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.tflite) |
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- | ConvNext-Base | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 8.178 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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- | ConvNext-Base | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 20.221 ms | 0 - 50 MB | FP16 | NPU | [ConvNext-Base.tflite](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.tflite) |
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- | ConvNext-Base | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 20.997 ms | 0 - 53 MB | FP16 | NPU | Use Export Script |
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- | ConvNext-Base | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 8.964 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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- | ConvNext-Base | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 41.036 ms | 176 - 176 MB | FP16 | NPU | [ConvNext-Base.onnx](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.onnx) |
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@@ -112,7 +112,7 @@ Profiling Results
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  ConvNext-Base
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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- Estimated inference time (ms) : 7.8
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  Estimated peak memory usage (MB): [0, 22]
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  Total # Ops : 598
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  Compute Unit(s) : NPU (598 ops)
 
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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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+ | ConvNext-Base | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 7.748 ms | 0 - 22 MB | FP16 | NPU | [ConvNext-Base.tflite](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.tflite) |
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+ | ConvNext-Base | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 8.472 ms | 0 - 25 MB | FP16 | NPU | [ConvNext-Base.so](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.so) |
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+ | ConvNext-Base | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 37.333 ms | 0 - 295 MB | FP16 | NPU | [ConvNext-Base.onnx](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.onnx) |
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+ | ConvNext-Base | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 5.802 ms | 0 - 60 MB | FP16 | NPU | [ConvNext-Base.tflite](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.tflite) |
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+ | ConvNext-Base | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 6.165 ms | 1 - 60 MB | FP16 | NPU | [ConvNext-Base.so](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.so) |
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+ | ConvNext-Base | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 26.475 ms | 1 - 141 MB | FP16 | NPU | [ConvNext-Base.onnx](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.onnx) |
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+ | ConvNext-Base | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 5.023 ms | 0 - 73 MB | FP16 | NPU | [ConvNext-Base.tflite](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.tflite) |
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+ | ConvNext-Base | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 5.511 ms | 0 - 74 MB | FP16 | NPU | Use Export Script |
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+ | ConvNext-Base | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 23.22 ms | 1 - 154 MB | FP16 | NPU | [ConvNext-Base.onnx](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.onnx) |
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+ | ConvNext-Base | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 7.761 ms | 0 - 25 MB | FP16 | NPU | [ConvNext-Base.tflite](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.tflite) |
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+ | ConvNext-Base | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 8.189 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | ConvNext-Base | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 20.119 ms | 0 - 53 MB | FP16 | NPU | [ConvNext-Base.tflite](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.tflite) |
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+ | ConvNext-Base | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 21.257 ms | 0 - 53 MB | FP16 | NPU | Use Export Script |
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+ | ConvNext-Base | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 8.576 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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+ | ConvNext-Base | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 41.04 ms | 176 - 176 MB | FP16 | NPU | [ConvNext-Base.onnx](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.onnx) |
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  ConvNext-Base
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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+ Estimated inference time (ms) : 7.7
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  Estimated peak memory usage (MB): [0, 22]
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  Total # Ops : 598
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  Compute Unit(s) : NPU (598 ops)