diff --git a/optimum_benchmark/backends/config.py b/optimum_benchmark/backends/config.py
index 68bfab68..d0ac9cee 100644
--- a/optimum_benchmark/backends/config.py
+++ b/optimum_benchmark/backends/config.py
@@ -1,9 +1,12 @@
 from abc import ABC
+from logging import getLogger
 from dataclasses import dataclass
 from typing import Optional, TypeVar
 
 from psutil import cpu_count
 
+LOGGER = getLogger("backend")
+
 
 @dataclass
 class BackendConfig(ABC):
@@ -18,7 +21,7 @@ class BackendConfig(ABC):
 
     # device isolation options
     continuous_isolation: bool = True
-    isolation_check_interval: Optional[int] = None
+    isolation_check_interval: Optional[float] = None
 
     # clean up options
     delete_cache: bool = False
@@ -32,8 +35,8 @@ def __post_init__(self):
             if self.intra_op_num_threads == -1:
                 self.intra_op_num_threads = cpu_count()
 
-        if self.isolation_check_interval is None:
-            self.isolation_check_interval = 1  # 1 second
+        if self.continuous_isolation and self.isolation_check_interval is None:
+            self.isolation_check_interval = 1
 
 
 BackendConfigT = TypeVar("BackendConfigT", bound=BackendConfig)
diff --git a/optimum_benchmark/backends/neural_compressor/config.py b/optimum_benchmark/backends/neural_compressor/config.py
index c0b9754f..4ae8e953 100644
--- a/optimum_benchmark/backends/neural_compressor/config.py
+++ b/optimum_benchmark/backends/neural_compressor/config.py
@@ -72,6 +72,8 @@ class INCConfig(BackendConfig):
     calibration_config: Dict[str, Any] = field(default_factory=dict)
 
     def __post_init__(self):
+        super().__post_init__()
+
         if self.ptq_quantization:
             self.ptq_quantization_config = OmegaConf.to_object(
                 OmegaConf.merge(PTQ_QUANTIZATION_CONFIG, self.ptq_quantization_config)
diff --git a/optimum_benchmark/backends/onnxruntime/config.py b/optimum_benchmark/backends/onnxruntime/config.py
index 10c7b79f..4f4b5dd4 100644
--- a/optimum_benchmark/backends/onnxruntime/config.py
+++ b/optimum_benchmark/backends/onnxruntime/config.py
@@ -130,6 +130,8 @@ class ORTConfig(BackendConfig):
     peft_config: Dict[str, Any] = field(default_factory=dict)
 
     def __post_init__(self):
+        super().__post_init__()
+
         if not self.no_weights and not self.export and self.torch_dtype is not None:
             raise NotImplementedError("Can't convert an exported model's weights to a different dtype.")
 
diff --git a/optimum_benchmark/backends/pytorch/config.py b/optimum_benchmark/backends/pytorch/config.py
index 071fbc28..497c171a 100644
--- a/optimum_benchmark/backends/pytorch/config.py
+++ b/optimum_benchmark/backends/pytorch/config.py
@@ -72,6 +72,8 @@ class PyTorchConfig(BackendConfig):
     peft_config: Dict[str, Any] = field(default_factory=dict)
 
     def __post_init__(self):
+        super().__post_init__()
+
         if self.torch_compile:
             self.torch_compile_config = OmegaConf.to_object(OmegaConf.merge(COMPILE_CONFIG, self.torch_compile_config))