Update README.md

README.md

@@ -13,7 +13,7 @@ language:
 # microsoft/Phi-4-mini-instruct-onnx
 
 ## Introduction
-This repository hosts the optimized versions of Phi4 mini models to accelerate inference with ONNX Runtime CUDA.
+This repository hosts the optimized versions of Phi4 mini models to accelerate inference with ONNX Runtime.
 Optimized models are published here in ONNX format to run with ONNX Runtime on CPU and GPU across devices, including server platforms, Windows, Linux and Mac desktops, and mobile CPUs, with the precision best suited to each of these targets.
 Here are some of the optimized configurations we have added:  
 1. ONNX model for int4 CPU and Mobile: ONNX model for CPU and mobile using int4 quantization via RTN.
@@ -86,4 +86,4 @@ See details at [https://huggingface.co/microsoft/Phi-4-mini-instruct/blob/main/R
 | Intel Xeon Platinum 8573B CPU | int4: 23.978 tokens/sec | fp32: 4.479 tokens/sec | 5.35X |
 | AMD EPYC 7763v CPU | int4: 19.884 tokens/sec | fp32: 1.599 tokens/sec | 12.4x |
 | Intel Core Ultra 7 165H Laptop CPU | int4: 4.863 tokens/sec | fp32: 1.699 tokens/sec | 2.8x |
-| Intel i7 processor | int4: 3.474 tokens/sec fp32: 1.800 tokens/sec | fp32: 0.702 tokens/sec |
+| Intel i7 processor | int4: 3.474 tokens/sec fp32: 1.800 tokens/sec | fp32: 0.702 tokens/sec | 4.85x|