diff --git a/changelog/fragments/1450.fixed.rst b/changelog/fragments/1450.fixed.rst
new file mode 100644
index 0000000000000000000000000000000000000000..145a57ec0530be8ada8b31eb91fab73d70722648
--- /dev/null
+++ b/changelog/fragments/1450.fixed.rst
@@ -0,0 +1 @@
+The method ``OptimizationResult.from_optimization_problem()`` properly returns an ``OptimizationResult`` object when giving an ``OptimizationProblem`` as an argument.
diff --git a/src/gemseo/algos/optimization_result.py b/src/gemseo/algos/optimization_result.py
index 90480f709db346c98b3288a051afe35c96c32383..1baf6126e43f37f93f22358ac73b2be41dd6d999 100644
--- a/src/gemseo/algos/optimization_result.py
+++ b/src/gemseo/algos/optimization_result.py
@@ -237,6 +237,8 @@ class OptimizationResult(metaclass=ABCGoogleDocstringInheritanceMeta):
         Returns:
             The optimization result associated with the optimization problem.
         """
+        if problem.solution and not hasattr(problem.objective, "n_calls"):
+            problem.objective.n_calls = problem.solution.n_obj_call
         if not problem.database:
             return cls(n_obj_call=0, **fields_)
 
diff --git a/tests/algos/opt/test_opt_result.py b/tests/algos/opt/test_opt_result.py
index 430c8291d523451021fca4c1cb6e7b5c07a74dca..84bcf3aedee062aa9f0b2ca3490ef016d9b7b1ca 100644
--- a/tests/algos/opt/test_opt_result.py
+++ b/tests/algos/opt/test_opt_result.py
@@ -24,10 +24,12 @@ from numpy import array
 
 from gemseo import execute_algo
 from gemseo.algos.design_space import DesignSpace
+from gemseo.algos.opt.factory import OptimizationLibraryFactory
 from gemseo.algos.optimization_problem import OptimizationProblem
 from gemseo.algos.optimization_result import OptimizationResult
 from gemseo.core.mdo_functions.mdo_function import MDOFunction
 from gemseo.disciplines.analytic import AnalyticDiscipline
+from gemseo.problems.optimization.power_2 import Power2
 from gemseo.scenarios.doe_scenario import DOEScenario
 from gemseo.utils.repr_html import REPR_HTML_WRAPPER
 
@@ -229,3 +231,14 @@ def test_from_optimization_problem(
         constraint_values={f"[g{sign}1.0]": array([constraint])},
         constraints_grad={f"[g{sign}1.0]": None},
     )
+
+
+def test_opt_result_from_opt_problem(tmp_path):
+    """Test the creation of an OptimizationResult from an OptimizationProblem."""
+    problem = Power2()
+    OptimizationLibraryFactory().execute(problem, algo_name="SLSQP", max_iter=50)
+    out_file = tmp_path / "output.hdf"
+    problem.to_hdf(out_file)
+    read_problem = OptimizationProblem.from_hdf(out_file)
+    opt_result = OptimizationResult.from_optimization_problem(read_problem)
+    assert isinstance(opt_result, OptimizationResult)