Update README.md

README.md

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+*   Model Size: measured by the size of the .tflite flatbuffer (serialization format for LiteRT models)
+*   Memory: indicator of peak RAM usage
+*   The inference on CPU is accelerated via the LiteRT [XNNPACK](https://github.com/google/XNNPACK) delegate with 4 threads
+*   Benchmark is done assuming XNNPACK cache is enabled
+*   dynamic_int8: quantized model with int8 weights and float activations.