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README.md
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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
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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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| ConvNext-Tiny | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 3.
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| ConvNext-Tiny | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 3.
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| ConvNext-Tiny | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 13.
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| ConvNext-Tiny | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 2.
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| ConvNext-Tiny | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN |
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| ConvNext-Tiny | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 9.
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| ConvNext-Tiny |
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| ConvNext-Tiny |
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| ConvNext-Tiny |
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| ConvNext-Tiny |
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| ConvNext-Tiny |
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| ConvNext-Tiny |
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| ConvNext-Tiny |
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| ConvNext-Tiny |
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| ConvNext-Tiny |
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| ConvNext-Tiny |
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| ConvNext-Tiny |
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| ConvNext-Tiny |
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| ConvNext-Tiny |
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| ConvNext-Tiny |
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| ConvNext-Tiny |
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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) : 3.4
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Estimated peak memory usage (MB): [0,
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Total # Ops : 328
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Compute Unit(s) : NPU (328 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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| ConvNext-Tiny | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 3.406 ms | 0 - 4 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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| ConvNext-Tiny | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 3.893 ms | 0 - 188 MB | FP16 | NPU | [ConvNext-Tiny.so](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.so) |
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| ConvNext-Tiny | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 13.319 ms | 0 - 65 MB | FP16 | NPU | [ConvNext-Tiny.onnx](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.onnx) |
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| ConvNext-Tiny | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 2.473 ms | 0 - 209 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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| ConvNext-Tiny | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 2.84 ms | 0 - 36 MB | FP16 | NPU | [ConvNext-Tiny.so](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.so) |
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| ConvNext-Tiny | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 9.549 ms | 0 - 374 MB | FP16 | NPU | [ConvNext-Tiny.onnx](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.onnx) |
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| ConvNext-Tiny | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 2.119 ms | 0 - 61 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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| ConvNext-Tiny | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 2.151 ms | 0 - 36 MB | FP16 | NPU | Use Export Script |
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| ConvNext-Tiny | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 8.635 ms | 0 - 125 MB | FP16 | NPU | [ConvNext-Tiny.onnx](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.onnx) |
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| ConvNext-Tiny | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 3.35 ms | 0 - 759 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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| ConvNext-Tiny | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 3.605 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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| ConvNext-Tiny | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 3.398 ms | 0 - 2 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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| ConvNext-Tiny | SA8255 (Proxy) | SA8255P Proxy | QNN | 3.701 ms | 0 - 1 MB | FP16 | NPU | Use Export Script |
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| ConvNext-Tiny | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 3.365 ms | 0 - 2 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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| ConvNext-Tiny | SA8775 (Proxy) | SA8775P Proxy | QNN | 3.681 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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| ConvNext-Tiny | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 3.392 ms | 0 - 2 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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| ConvNext-Tiny | SA8650 (Proxy) | SA8650P Proxy | QNN | 3.667 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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| ConvNext-Tiny | SA8295P ADP | SA8295P | TFLITE | 10.473 ms | 0 - 53 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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| ConvNext-Tiny | SA8295P ADP | SA8295P | QNN | 9.505 ms | 1 - 6 MB | FP16 | NPU | Use Export Script |
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| ConvNext-Tiny | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 9.204 ms | 0 - 202 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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| ConvNext-Tiny | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 9.835 ms | 0 - 33 MB | FP16 | NPU | Use Export Script |
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| ConvNext-Tiny | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 3.853 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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| ConvNext-Tiny | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 16.203 ms | 59 - 59 MB | FP16 | NPU | [ConvNext-Tiny.onnx](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.onnx) |
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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) : 3.4
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Estimated peak memory usage (MB): [0, 4]
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Total # Ops : 328
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Compute Unit(s) : NPU (328 ops)
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```
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