Sync model repo (text/metadata)

README.md

@@ -11,22 +11,22 @@ tags:
   - litert
 ---
 
-# DeiT-Tiny Patch16-224 optimized for Arm-based Premium Smartphone
+# DeiT-Tiny Patch16-224 optimized for Arm-based mobile CPUs with SME2
 
-DeiT-Tiny Patch16-224 optimized with INT8 static post-training quantization for image classification, exported to LiteRT `.tflite` format for efficient inference on Arm-based Premium Smartphone devices.
+DeiT-Tiny Patch16-224 optimized with INT8 static post-training quantization for image classification, exported to LiteRT `.tflite` format for efficient inference on Arm-based mobile CPUs with SME2.
 
 ## Summary
 
-This repository contains an Arm-optimized version of facebook/deit-tiny-patch16-224 for image classification, quantized to INT8 via static post-training quantization — affine per-tensor activations, symmetric per-channel weights — while patch embeddings remain in FP32. The model is provided in LiteRT `.tflite` format, targeting Premium Smartphone systems.
+This repository contains an Arm-optimized version of facebook/deit-tiny-patch16-224 for image classification, quantized to INT8 via static post-training quantization — affine per-tensor activations, symmetric per-channel weights — while patch embeddings remain in FP32. The model is provided in LiteRT `.tflite` format, targeting Mobile CPU systems.
 
-This version is intended to demonstrate efficient inference on Arm-based platforms while preserving the original model's intended behavior. Arm has evaluated this model on ImageNet-1k and measured performance on vivo X300.
+This version is intended to demonstrate efficient inference on Arm-based platforms while preserving the original model's intended behavior. Arm has evaluated this model on ImageNet-1k and measured performance on a representative evaluation target.
 
 **Key results**
 
 | Area | Result |
 |---|---|
 | Model format | LiteRT `.tflite` |
-| Target device class | Premium Smartphone |
+| Target device class | Mobile CPU |
 | Reference device | vivo X300 (C1-Ultra, C1-Premium, C1-Pro, Android 16 / OriginOS 6) |
 | Example environment | AWS Graviton, Ubuntu arm64 |
 | Primary performance result | p50 latency of 5.36 ms (1.74x faster than baseline) |
@@ -141,7 +141,7 @@ uv sync --frozen
 uv run example.py
 ```
 
-Note: The Python/uv example runs on AWS Graviton (Ubuntu arm64) to confirm runtime compatibility only, and is intended as a guideline for building an equivalent run script on smartphone devices.
+Note: The Python/uv example runs on AWS Graviton (Ubuntu arm64) to confirm runtime compatibility only, and is intended as a guideline for building an equivalent run script on Mobile CPU systems.
 
 ### Expected input