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README.md
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@@ -40,8 +40,8 @@ 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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Profile Job summary of MobileNet-v2-Quantized
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Device: Snapdragon X Elite CRD (11)
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Estimated Inference Time: 0.
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Estimated Peak Memory Range: 0.
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Compute Units: NPU (71) | Total (71)
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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 | 0.279 ms | 0 - 2 MB | INT8 | NPU | [MobileNet-v2-Quantized.tflite](https://huggingface.co/qualcomm/MobileNet-v2-Quantized/blob/main/MobileNet-v2-Quantized.tflite)
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.657 ms | 0 - 9 MB | INT8 | NPU | [MobileNet-v2-Quantized.so](https://huggingface.co/qualcomm/MobileNet-v2-Quantized/blob/main/MobileNet-v2-Quantized.so)
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Profile Job summary of MobileNet-v2-Quantized
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--------------------------------------------------
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Device: Snapdragon X Elite CRD (11)
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Estimated Inference Time: 0.72 ms
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Estimated Peak Memory Range: 0.55-0.55 MB
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Compute Units: NPU (71) | Total (71)
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