diff --git a/configs/eval_mathbench.py b/configs/eval_mathbench.py
new file mode 100644
index 000000000..bc4569cff
--- /dev/null
+++ b/configs/eval_mathbench.py
@@ -0,0 +1,42 @@
+from mmengine.config import read_base
+
+with read_base():
+
+    # Import models
+    from .models.hf_llama.hf_llama3_8b_instruct import models as llama3_8b_instruct_model
+    from .models.hf_internlm.hf_internlm2_chat_7b import models as internlm2_chat_7b_model
+
+    # Import datasets
+    from .datasets.MathBench.mathbench_gen import mathbench_datasets
+
+    # Import summarizers for display results
+    from .summarizers.groups.mathbench_v1_2024 import summarizer # Grouped results for MathBench-A and MathBench-T separately
+    # from .summarizers.mathbench_v1 import summarizer # Detailed results for every sub-dataset
+    # from .summarizers.groups.mathbench_v1_2024_lang import summarizer # Grouped results for bilingual results
+
+datasets = sum([v for k, v in locals().items() if k.endswith('_datasets')], [])
+models = sum([v for k, v in locals().items() if k.endswith('_model')], [])
+
+from opencompass.runners import LocalRunner
+from opencompass.partitioners import NaivePartitioner, NumWorkerPartitioner
+from opencompass.tasks import OpenICLInferTask, OpenICLEvalTask
+
+eval = dict(
+    partitioner=dict(type=NaivePartitioner, n=8),
+    runner=dict(
+        type=LocalRunner,
+        max_num_workers=256,
+        task=dict(type=OpenICLEvalTask)
+    ),
+)
+
+infer = dict(
+    partitioner=dict(type=NumWorkerPartitioner, num_worker=4),
+    runner=dict(
+        type=LocalRunner,
+        max_num_workers=256,
+        task=dict(type=OpenICLInferTask)
+    ),
+)
+
+work_dir = './outputs/mathbench_results'