diff --git a/tests/layer_tests/tensorflow2_keras_tests/test_tf2_keras_conv_3d.py b/tests/layer_tests/tensorflow2_keras_tests/test_tf2_keras_conv_3d.py
index e0d2d54aebd..0af9ec7c316 100644
--- a/tests/layer_tests/tensorflow2_keras_tests/test_tf2_keras_conv_3d.py
+++ b/tests/layer_tests/tensorflow2_keras_tests/test_tf2_keras_conv_3d.py
@@ -34,25 +34,25 @@ class TestKerasConv3D(CommonTF2LayerTest):
         return tf2_net, ref_net
 
     test_data_float32 = [
-        dict(conv_params=dict(filters=27, kernel_size=3, padding="valid", strides=(2, 2, 2)),
+        dict(conv_params=dict(filters=7, kernel_size=3, padding="valid", strides=(2, 2, 2)),
              input_names=["x"], input_shapes=[[5, 3, 5, 7, 6]], input_type=tf.float32),
-        dict(conv_params=dict(filters=10, kernel_size=5, padding="same", strides=(3, 3, 3),
+        dict(conv_params=dict(filters=5, kernel_size=5, padding="same", strides=(3, 3, 3),
                               activation="relu", use_bias=True), input_names=["x"],
              input_shapes=[[5, 3, 5, 7, 8]], input_type=tf.float32),
-        dict(conv_params=dict(filters=10, kernel_size=5, padding="same", strides=(3, 3, 3)),
+        dict(conv_params=dict(filters=5, kernel_size=5, padding="same", strides=(3, 3, 3)),
              input_names=["x"],
              input_shapes=[[5, 3, 5, 7, 8]], input_type=tf.float32),
-        dict(conv_params=dict(filters=27, kernel_size=3, padding="valid", dilation_rate=3),
+        dict(conv_params=dict(filters=7, kernel_size=3, padding="valid", dilation_rate=3),
              input_names=["x"],
              input_shapes=[[5, 8, 9, 7, 6]], input_type=tf.float32),
-        dict(conv_params=dict(filters=10, kernel_size=5, padding="same", dilation_rate=4),
+        dict(conv_params=dict(filters=5, kernel_size=5, padding="same", dilation_rate=4),
              input_names=["x"],
              input_shapes=[[5, 3, 9, 7, 8]], input_type=tf.float32),
-        dict(conv_params=dict(filters=27, kernel_size=3, padding="valid",
+        dict(conv_params=dict(filters=7, kernel_size=3, padding="valid",
                               dilation_rate=3, activation="sigmoid", use_bias=False),
              input_names=["x"],
              input_shapes=[[5, 8, 9, 7, 6]], input_type=tf.float32),
-        dict(conv_params=dict(filters=10, kernel_size=5, padding="same", dilation_rate=4,
+        dict(conv_params=dict(filters=5, kernel_size=5, padding="same", dilation_rate=4,
                               use_bias=True),
              input_names=["x"], input_shapes=[[5, 3, 9, 7, 8]], input_type=tf.float32)
     ]
diff --git a/tests/layer_tests/tensorflow_tests/test_tf_BinaryOps.py b/tests/layer_tests/tensorflow_tests/test_tf_BinaryOps.py
index 6bf56ba7f33..066470e31fe 100644
--- a/tests/layer_tests/tensorflow_tests/test_tf_BinaryOps.py
+++ b/tests/layer_tests/tensorflow_tests/test_tf_BinaryOps.py
@@ -112,7 +112,7 @@ class TestBinaryOps(CommonTFLayerTest):
             pytest.skip("Bitwise and Xdivy ops are supported only by new TF FE.")
         if op_type in ['BitwiseAnd', 'BitwiseOr', 'BitwiseXor', 'Pow', 'Mod'] and ie_device == 'GPU':
             pytest.skip("GPU does not support Bitwise ops. For Mod and Pow it has inference mismatch")
-        if op_type in ['Mod', 'FloorDiv'] and platform.machine() == 'arm64':
-            pytest.skip("Arm64 has inference mismatch for Mod and FloorDiv")
+        if op_type in ['Mod', 'FloorDiv']:
+            pytest.skip("Inference mismatch for Mod and FloorDiv")
         self._test(*self.create_add_placeholder_const_net(x_shape=x_shape, y_shape=y_shape, op_type=op_type), ie_device,
                    precision, ir_version, temp_dir=temp_dir, use_legacy_frontend=use_legacy_frontend)