diff --git a/compiler/luci/service/src/Nodes/CircleReshape.cpp b/compiler/luci/service/src/Nodes/CircleReshape.cpp
index 778f8d45762..d30337193eb 100644
--- a/compiler/luci/service/src/Nodes/CircleReshape.cpp
+++ b/compiler/luci/service/src/Nodes/CircleReshape.cpp
@@ -138,8 +138,14 @@ loco::TensorShape Algorithm::visit(const luci::CircleReshape *node)
   uint32_t input_element_count = 1;
   uint32_t output_element_count = 1;
   uint32_t unknown_dim_index = UINT32_MAX;
+  bool should_infer = true;
   for (uint32_t i = 0; i < input_shape.rank(); ++i)
-    input_element_count *= (input_shape.dim(i).known() ? input_shape.dim(i).value() : 1);
+  {
+    if (input_shape.dim(i).known())
+      input_element_count *= input_shape.dim(i).value();
+    else
+      should_infer = false;
+  }
   for (uint32_t dim_index = 0; dim_index < output_shape.rank(); ++dim_index)
   {
     const uint32_t dim_value = output_shape.dim(dim_index).value();
@@ -153,7 +159,7 @@ loco::TensorShape Algorithm::visit(const luci::CircleReshape *node)
       output_element_count *= dim_value;
     }
   }
-  if (unknown_dim_index != UINT32_MAX)
+  if (unknown_dim_index != UINT32_MAX && should_infer)
   {
     output_shape.dim(unknown_dim_index) = input_element_count / output_element_count;
   }
diff --git a/compiler/luci/service/src/Nodes/CircleReshape.test.cpp b/compiler/luci/service/src/Nodes/CircleReshape.test.cpp
index a6ae6735500..65382ce1f8e 100644
--- a/compiler/luci/service/src/Nodes/CircleReshape.test.cpp
+++ b/compiler/luci/service/src/Nodes/CircleReshape.test.cpp
@@ -102,3 +102,35 @@ TEST(ShapeRuleTest, reshape_by_input_const_dynamic)
   ASSERT_EQ(6, output_shape.dim(0).value());
   ASSERT_EQ(4, output_shape.dim(1).value());
 }
+
+TEST(ShapeRuleTest, reshape_should_infer)
+{
+  auto g = loco::make_graph();
+  auto node_reshape = g->nodes()->create<luci::CircleReshape>();
+  auto tensor_input = g->nodes()->create<luci::CircleInput>();
+  auto shape_by_input = g->nodes()->create<luci::CircleConst>();
+
+  tensor_input->dtype(loco::DataType::S32);
+  tensor_input->shape({0, 3, 4});
+  tensor_input->dim(0).unset();
+  tensor_input->shape_status(luci::ShapeStatus::VALID);
+
+  shape_by_input->dtype(loco::DataType::S32);
+  shape_by_input->size<loco::DataType::S32>(2);
+  shape_by_input->at<loco::DataType::S32>(0) = -1;
+  shape_by_input->at<loco::DataType::S32>(1) = 4;
+  shape_by_input->shape_status(luci::ShapeStatus::VALID);
+
+  node_reshape->tensor(tensor_input);
+  node_reshape->shape(shape_by_input);
+
+  loco::TensorShape output_shape;
+  luci::sinf::Rule shape_inf_rule;
+
+  ASSERT_TRUE(shape_inf_rule.infer(node_reshape, output_shape));
+
+  ASSERT_EQ(2, output_shape.rank());
+  ASSERT_FALSE(output_shape.dim(0).known());
+  ASSERT_TRUE(output_shape.dim(1).known());
+  ASSERT_EQ(4, output_shape.dim(1).value());
+}