diff --git a/benchmarks/benchmark_performance.py b/benchmarks/benchmark_performance.py
index e09ed87..da616ab 100644
--- a/benchmarks/benchmark_performance.py
+++ b/benchmarks/benchmark_performance.py
@@ -35,12 +35,12 @@ def mlflow_context():
 @given(
     data=st.data(),
     feature_size=st.integers(min_value=1, max_value=10),
-    width=st.integers(min_value=MINIMUM_NETWORK_DIMENSION, max_value=200),
-    height=st.integers(min_value=MINIMUM_NETWORK_DIMENSION, max_value=200),
-    num_iterations=st.integers(min_value=10, max_value=1000),
+    width=st.integers(min_value=MINIMUM_NETWORK_DIMENSION, max_value=20),
+    height=st.integers(min_value=MINIMUM_NETWORK_DIMENSION, max_value=20),
+    num_iterations=st.integers(min_value=10, max_value=50),
     initial_learning_rate=st.floats(min_value=1e-3, max_value=1.0, allow_nan=False, allow_infinity=False)
 )
-@settings(max_examples=20, deadline=None, suppress_health_check=(HealthCheck.too_slow,))
+@settings(max_examples=10, deadline=None, suppress_health_check=(HealthCheck.too_slow,))
 def benchmark_kohonen_networks_performance_mlflow(mlflow_context, data, feature_size, width, height, num_iterations, initial_learning_rate):
     np.random.seed(42)
     timestamp = datetime.datetime.now(datetime.UTC).strftime('%Y-%m-%dT%H:%M:%SZ')