update CI badge with IPEX

README.md

@@ -48,6 +48,7 @@ Optimum-Benchmark is continuously and intensively tested on a variety of devices
 
 ### CLI 📈
 
+[![CLI_CPU_IPEX](https://github.com/huggingface/optimum-benchmark/actions/workflows/test_cli_cpu_ipex.yaml/badge.svg)](https://github.com/huggingface/optimum-benchmark/actions/workflows/test_cli_cpu_ipex.yaml)
 [![CLI_CPU_LLAMA_CPP](https://github.com/huggingface/optimum-benchmark/actions/workflows/test_cli_cpu_llama_cpp.yaml/badge.svg)](https://github.com/huggingface/optimum-benchmark/actions/workflows/test_cli_cpu_llama_cpp.yaml)
 [![CLI_CPU_NEURAL_COMPRESSOR](https://github.com/huggingface/optimum-benchmark/actions/workflows/test_cli_cpu_neural_compressor.yaml/badge.svg)](https://github.com/huggingface/optimum-benchmark/actions/workflows/test_cli_cpu_neural_compressor.yaml)
 [![CLI_CPU_ONNXRUNTIME](https://github.com/huggingface/optimum-benchmark/actions/workflows/test_cli_cpu_onnxruntime.yaml/badge.svg)](https://github.com/huggingface/optimum-benchmark/actions/workflows/test_cli_cpu_onnxruntime.yaml)
@@ -93,14 +94,14 @@ pip install -e .
 Depending on the backends you want to use, you can install `optimum-benchmark` with the following extras:
 
 - PyTorch (default): `pip install optimum-benchmark`
-- IPEX: `pip install optimum-benchmark[ipex]`
 - OpenVINO: `pip install optimum-benchmark[openvino]`
 - Torch-ORT: `pip install optimum-benchmark[torch-ort]`
 - OnnxRuntime: `pip install optimum-benchmark[onnxruntime]`
 - TensorRT-LLM: `pip install optimum-benchmark[tensorrt-llm]`
 - OnnxRuntime-GPU: `pip install optimum-benchmark[onnxruntime-gpu]`
 - Neural Compressor: `pip install optimum-benchmark[neural-compressor]`
 - Py-TXI: `pip install optimum-benchmark[py-txi]`
+- IPEX: `pip install optimum-benchmark[ipex]`
 - vLLM: `pip install optimum-benchmark[vllm]`
 
 We also support the following extra extra dependencies:
@@ -282,6 +283,8 @@ See [TrainingConfig](optimum_benchmark/scenarios/training/config.py) for more in
 - [x] vLLM backend for CUDA (`backend=vllm`, `backend.device=cuda`)
 - [x] vLLM backend for ROCM (`backend=vllm`, `backend.device=rocm`)
 - [x] vLLM backend for CPU (`backend=vllm`, `backend.device=cpu`)
+- [x] IPEX backend for CPU (`backend=ipex`, `backend.device=cpu`)
+- [x] IPEX backend for XPU (`backend=ipex`, `backend.device=xpu`)
 
 <details>
 <summary>General backend features 🧰</summary>
@@ -299,6 +302,7 @@ See [TrainingConfig](optimum_benchmark/scenarios/training/config.py) for more in
 For more information on the features of each backend, you can check their respective configuration files:
 
 - [VLLMConfig](optimum_benchmark/backends/vllm/config.py)
+- [IPEXConfig](optimum_benchmark/backends/ipex/config.py)
 - [OVConfig](optimum_benchmark/backends/openvino/config.py)
 - [PyTXIConfig](optimum_benchmark/backends/py_txi/config.py)
 - [PyTorchConfig](optimum_benchmark/backends/pytorch/config.py)