diff --git a/samples/python/benchmark/bert_benchmark/bert_benchmark.py b/samples/python/benchmark/bert_benchmark/bert_benchmark.py
index b15bbd48b34c84..f81eac29387182 100755
--- a/samples/python/benchmark/bert_benchmark/bert_benchmark.py
+++ b/samples/python/benchmark/bert_benchmark/bert_benchmark.py
@@ -57,7 +57,7 @@ def main():
     sst2_sentences = sst2['validation']['sentence']
     # Warm up
     encoded_warm_up = dict(tokenizer('Warm up sentence is here.', return_tensors='np'))
-    for _ in ireqs:
+    for _ in range(len(ireqs)):
         ireqs.start_async(encoded_warm_up)
     ireqs.wait_all()
     # Benchmark
diff --git a/samples/python/benchmark/throughput_benchmark/throughput_benchmark.py b/samples/python/benchmark/throughput_benchmark/throughput_benchmark.py
index 0573642fb2fdaa..ce9431e3e5121d 100755
--- a/samples/python/benchmark/throughput_benchmark/throughput_benchmark.py
+++ b/samples/python/benchmark/throughput_benchmark/throughput_benchmark.py
@@ -52,7 +52,7 @@ def main():
         for model_input in compiled_model.inputs:
             fill_tensor_random(ireq.get_tensor(model_input))
     # Warm up
-    for _ in ireqs:
+    for _ in range(len(ireqs)):
         ireqs.start_async()
     ireqs.wait_all()
     # Benchmark for seconds_to_run seconds and at least niter iterations