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README.md
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@@ -34,21 +34,25 @@ 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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| ConvNext-Base | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 7.
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| ConvNext-Base | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 8.
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| ConvNext-Base | Samsung Galaxy
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| ConvNext-Base | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 |
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| ConvNext-Base |
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| ConvNext-Base |
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| ConvNext-Base |
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| ConvNext-Base |
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| ConvNext-Base |
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| ConvNext-Base |
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| ConvNext-Base |
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| ConvNext-Base |
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| ConvNext-Base |
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| ConvNext-Base |
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| ConvNext-Base |
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@@ -112,8 +116,8 @@ 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.
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Estimated peak memory usage (MB): [0,
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Total # Ops : 598
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Compute Unit(s) : NPU (598 ops)
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```
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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-Base | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 7.44 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 | 8.057 ms | 1 - 7 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 | 7.85 ms | 0 - 451 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 | 5.546 ms | 0 - 273 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 | 6.152 ms | 1 - 19 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 | 6.02 ms | 1 - 284 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 | 4.306 ms | 0 - 262 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 | 5.41 ms | 1 - 266 MB | FP16 | NPU | Use Export Script |
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| ConvNext-Base | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 5.251 ms | 1 - 266 MB | FP16 | NPU | [ConvNext-Base.onnx](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.onnx) |
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| ConvNext-Base | QCS8275 (Proxy) | QCS8275 Proxy | TFLITE | 302.986 ms | 0 - 258 MB | FP16 | NPU | [ConvNext-Base.tflite](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.tflite) |
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| ConvNext-Base | QCS8275 (Proxy) | QCS8275 Proxy | QNN | 302.865 ms | 1 - 10 MB | FP16 | NPU | Use Export Script |
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| ConvNext-Base | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 7.472 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 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 8.038 ms | 1 - 4 MB | FP16 | NPU | Use Export Script |
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| ConvNext-Base | QCS9075 (Proxy) | QCS9075 Proxy | TFLITE | 13.936 ms | 0 - 257 MB | FP16 | NPU | [ConvNext-Base.tflite](https://huggingface.co/qualcomm/ConvNext-Base/blob/main/ConvNext-Base.tflite) |
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| ConvNext-Base | QCS9075 (Proxy) | QCS9075 Proxy | QNN | 14.314 ms | 0 - 10 MB | FP16 | NPU | Use Export Script |
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| ConvNext-Base | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 19.25 ms | 0 - 277 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 | 19.741 ms | 1 - 274 MB | FP16 | NPU | Use Export Script |
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| ConvNext-Base | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 8.116 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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| ConvNext-Base | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 7.914 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) : 7.4
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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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```
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