diff --git a/tools/pot/tests/test_nightly.py b/tools/pot/tests/test_nightly.py
index dcb1243598a..e47c51e3fac 100644
--- a/tools/pot/tests/test_nightly.py
+++ b/tools/pot/tests/test_nightly.py
@@ -80,6 +80,9 @@ def test_default_quantization(model_params, tmp_path, models, algorithm, preset)
             }}]})
 
     model_name, model_framework, model_precision, expected_accuracy_dict = model_params
+    if model_framework == 'mxnet':
+        pytest.skip('Skipped due to conflict with numpy version in mxnet #99501.')
+
     run_quantization(models=models,
                      model_name=model_name,
                      model_framework=model_framework,
diff --git a/tools/pot/tests/test_sanity.py b/tools/pot/tests/test_sanity.py
index 7a59f1079a7..5672c41f54e 100644
--- a/tools/pot/tests/test_sanity.py
+++ b/tools/pot/tests/test_sanity.py
@@ -76,6 +76,9 @@ def _params(request):
 def test_compression(_params, tmp_path, models):
     model_name, model_framework, algorithm, preset, subset_size, expected_accuracy, additional_params, device = _params
 
+    if model_framework == 'mxnet':
+        pytest.skip('Skipped due to conflict with numpy version in mxnet #99501.')
+
     algorithm_config = make_algo_config(algorithm, preset, subset_size, additional_params, device)
 
     if model_name in CASCADE_MAP:
diff --git a/tools/pot/tests/test_scales.py b/tools/pot/tests/test_scales.py
index 5d37be56ae3..935a0e30fbc 100644
--- a/tools/pot/tests/test_scales.py
+++ b/tools/pot/tests/test_scales.py
@@ -19,7 +19,7 @@ from openvino.tools.pot.statistics.collector import StatisticsCollector
 from .utils.data_helper import dump_intermediate_data, load_json
 
 
-EPS = 1e-6
+EPS = 2e-5
 
 
 def get_fq_nodes_stats_algo(model, preset, bits, is_weights, clipping_value=None):
diff --git a/tools/pot/tests/test_unify_scales.py b/tools/pot/tests/test_unify_scales.py
index 7807bef6276..3d8ade75de2 100644
--- a/tools/pot/tests/test_unify_scales.py
+++ b/tools/pot/tests/test_unify_scales.py
@@ -36,6 +36,9 @@ def _params(request):
 def test_unify_scales(_params, tmp_path, models):
     model_name, model_framework, algorithm, preset, device = _params
 
+    if model_framework == 'mxnet':
+        pytest.skip('Skipped due to conflict with numpy version in mxnet #99501.')
+
     algorithm_config = Dict({
         'algorithms': [{
             'name': algorithm,