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README.md
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@@ -38,8 +38,8 @@ More details on model performance across various devices, can be found
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| Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.
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@@ -100,9 +100,9 @@ python -m qai_hub_models.models.squeezenet1_1.export
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```
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Profile Job summary of SqueezeNet-1_1
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Device:
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Estimated Inference Time: 0.
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Estimated Peak Memory Range: 0.
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Compute Units: NPU (70) | Total (70)
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| Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.655 ms | 0 - 2 MB | FP16 | NPU | [SqueezeNet-1_1.tflite](https://huggingface.co/qualcomm/SqueezeNet-1_1/blob/main/SqueezeNet-1_1.tflite)
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.708 ms | 1 - 4 MB | FP16 | NPU | [SqueezeNet-1_1.so](https://huggingface.co/qualcomm/SqueezeNet-1_1/blob/main/SqueezeNet-1_1.so)
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```
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Profile Job summary of SqueezeNet-1_1
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Device: SA8255 (Proxy) (13)
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Estimated Inference Time: 0.72 ms
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Estimated Peak Memory Range: 0.14-14.69 MB
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Compute Units: NPU (70) | Total (70)
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