diff --git a/python/tvm/relax/frontend/torch/exported_program_translator.py b/python/tvm/relax/frontend/torch/exported_program_translator.py
index 3d6a632fb20f..94df0282c870 100644
--- a/python/tvm/relax/frontend/torch/exported_program_translator.py
+++ b/python/tvm/relax/frontend/torch/exported_program_translator.py
@@ -1371,6 +1371,7 @@ def create_convert_map(
             "any.dim": self._any,
             "any.dims": self._any,
             "mean.dim": self._mean,
+            "mean.default": self._mean,
             "prod.default": self._prod,
             "std.correction": self._std,
             "sum.default": self._sum,
diff --git a/tests/python/relax/test_frontend_from_exported_program.py b/tests/python/relax/test_frontend_from_exported_program.py
index 01e16e7564ac..b7a36f947019 100644
--- a/tests/python/relax/test_frontend_from_exported_program.py
+++ b/tests/python/relax/test_frontend_from_exported_program.py
@@ -4911,6 +4911,10 @@ class MeanKeepDim(Module):
         def forward(self, input: torch.Tensor):
             return input.mean(-1, keepdim=True)
 
+    class MeanWithoutDim(Module):
+        def forward(self, input: torch.Tensor):
+            return input.mean()
+
     @I.ir_module
     class Expected1:
         @R.function
@@ -4935,9 +4939,22 @@ def main(
                 R.output(gv)
             return gv
 
+    @I.ir_module
+    class Expected3:
+        @R.function
+        def main(
+            inp_0: R.Tensor((256, 256), dtype="float32")
+        ) -> R.Tuple(R.Tensor((), dtype="float32")):
+            with R.dataflow():
+                lv: R.Tensor((), dtype="float32") = R.mean(inp_0, axis=None, keepdims=False)
+                gv: R.Tuple(R.Tensor((), dtype="float32")) = (lv,)
+                R.output(gv)
+            return gv
+
     example_args = (torch.randn(256, 256, dtype=torch.float32),)
     verify_model(Mean(), example_args, {}, Expected1)
     verify_model(MeanKeepDim(), example_args, {}, Expected2)
+    verify_model(MeanWithoutDim(), example_args, {}, Expected3)
 
 
 def test_sum():