diff --git a/tutorials/quick_start/common/results.py b/tutorials/quick_start/common/results.py
index 25d576a93..142f58c46 100644
--- a/tutorials/quick_start/common/results.py
+++ b/tutorials/quick_start/common/results.py
@@ -21,6 +21,7 @@
 from common.constants import MODEL_NAME, MODEL_LIBRARY, VALIDATION_DATASET_FOLDER
 
 from model_compression_toolkit.target_platform_capabilities.target_platform import TargetPlatformCapabilities
+from tutorials.quick_start.common.tpc_info import TPCInfo
 
 
 class DatasetInfo:
@@ -44,7 +45,7 @@ class QuantInfo:
     Holds information about the quantization process.
     """
     def __init__(self, user_info: UserInformation,
-                 tpc_info: dict,
+                 tpc_info: TPCInfo,
                  quantization_workflow: str,
                  mp_weights_compression: float = None
                  ):
@@ -53,7 +54,7 @@ def __init__(self, user_info: UserInformation,
 
         Args:
             user_info (UserInformation): Quantization information returned from MCT
-            tpc_info (dict): The target platform capabilities information which is provided to the MCT.
+            tpc_info (TPCInfo): The target platform capabilities information which is provided to the MCT.
             quantization_workflow (str): String to describe the quantization workflow (PTQ, GPTQ etc.).
             mp_weights_compression (float): Weights compression factor for mixed precision KPI
         """
@@ -110,8 +111,8 @@ def parse_results(params: dict, float_acc: float, quant_acc: float, quant_info:
         A dictionary containing the parsed results.
 
     """
-    a_bits = quant_info.tpc_info['Target Platform Model']['Default quantization config']['activation_n_bits']
-    w_bits = quant_info.tpc_info['Target Platform Model']['Default quantization config']['weights_n_bits']
+    a_bits = quant_info.tpc_info.activation_nbits
+    w_bits = quant_info.tpc_info.weights_nbits
     bit_config = f'W{w_bits}A{a_bits}'
     if quant_info.mp_weights_compression:
         bit_config = f'{bit_config},MP-x{quant_info.mp_weights_compression}'
@@ -126,7 +127,7 @@ def parse_results(params: dict, float_acc: float, quant_acc: float, quant_info:
     res['Size[MB]'] = round(quant_info.user_info.final_kpi.weights_memory / 1e6, 2)
     res['BitsConfig'] = bit_config
     res['QuantWorkflow'] = quant_info.quantization_workflow
-    res['TPC'] = quant_info.tpc_info['Target Platform Capabilities'] + '-' + quant_info.tpc_info['Version']
+    res['TPC'] = quant_info.tpc_info.tp_model_name + '-' + quant_info.tpc_info.version
 
     return res
 
diff --git a/tutorials/quick_start/common/tpc_info.py b/tutorials/quick_start/common/tpc_info.py
new file mode 100644
index 000000000..4bdc9fa6f
--- /dev/null
+++ b/tutorials/quick_start/common/tpc_info.py
@@ -0,0 +1,53 @@
+# Copyright 2024 Sony Semiconductor Israel, Inc. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+
+
+def get_tpc_info(tpc):
+    # Retrieve the number of bits used for activation functions within the TPC's default operation.
+    activation_nbits = tpc.get_default_op_qc().activation_n_bits
+
+    # Retrieve the number of bits used for weights in the TPC's default weight configuration.
+    weights_nbits = tpc.get_default_op_qc().default_weight_attr_config.weights_n_bits
+
+    # Extract the name of the tp model associated with the TPC.
+    tp_model_name = tpc.tp_model.name
+
+    # Get the version of the TPC.
+    version = tpc.version
+
+    return TPCInfo(activation_nbits=activation_nbits,
+                   weights_nbits=weights_nbits,
+                   tp_model_name=tp_model_name,
+                   version=version)
+
+class TPCInfo:
+    def __init__(self,
+                 activation_nbits: int,
+                 weights_nbits: int,
+                 tp_model_name: str,
+                 version: str):
+        """
+        Args:
+            activation_nbits: Number of bits used for activation functions.
+            weights_nbits: Number of bits used for weights.
+            tp_model_name: TP model's name.
+            version: TPC's version.
+        """
+        self.activation_nbits = activation_nbits
+        self.weights_nbits = weights_nbits
+        self.tp_model_name = tp_model_name
+        self.version = version
+
+
diff --git a/tutorials/quick_start/keras_fw/quant.py b/tutorials/quick_start/keras_fw/quant.py
index 7195f1300..317cd38cb 100644
--- a/tutorials/quick_start/keras_fw/quant.py
+++ b/tutorials/quick_start/keras_fw/quant.py
@@ -26,6 +26,7 @@
 from model_compression_toolkit.core import MixedPrecisionQuantizationConfigV2, CoreConfig
 from model_compression_toolkit.target_platform_capabilities.target_platform import TargetPlatformCapabilities
 from tutorials.quick_start.common.results import QuantInfo
+from tutorials.quick_start.common.tpc_info import get_tpc_info
 
 
 def get_tpc(target_platform_name: str, target_platform_version: str) -> TargetPlatformCapabilities:
@@ -133,4 +134,7 @@ def quantize(model: tf.keras.Model,
                                                                   core_config=core_conf,
                                                                   target_platform_capabilities=tpc)
 
-    return quantized_model, QuantInfo(user_info=quantization_info, tpc_info=tpc.get_info(), quantization_workflow=workflow, mp_weights_compression=mp_wcr)
\ No newline at end of file
+    return quantized_model, QuantInfo(user_info=quantization_info,
+                                      tpc_info=get_tpc_info(tpc=tpc),
+                                      quantization_workflow=workflow,
+                                      mp_weights_compression=mp_wcr)
\ No newline at end of file
diff --git a/tutorials/quick_start/pytorch_fw/quant.py b/tutorials/quick_start/pytorch_fw/quant.py
index 1dd66b6e2..6631762c2 100644
--- a/tutorials/quick_start/pytorch_fw/quant.py
+++ b/tutorials/quick_start/pytorch_fw/quant.py
@@ -28,6 +28,7 @@
 from model_compression_toolkit.target_platform_capabilities.target_platform import TargetPlatformCapabilities
 from tutorials.quick_start.common.constants import BYTES_TO_FP32, MP_WEIGHTS_COMPRESSION
 from tutorials.quick_start.common.results import QuantInfo
+from tutorials.quick_start.common.tpc_info import get_tpc_info
 
 
 def get_tpc(target_platform_name: str, target_platform_version: str) -> TargetPlatformCapabilities:
@@ -143,5 +144,7 @@ def quantize(model: nn.Module,
                                           save_model_path=onnx_file_path,
                                           repr_dataset=representative_data_gen)
 
-
-    return quantized_model, QuantInfo(user_info=quantization_info, tpc_info=tpc.get_info(), quantization_workflow=workflow, mp_weights_compression=mp_wcr)
\ No newline at end of file
+    return quantized_model, QuantInfo(user_info=quantization_info,
+                                      tpc_info=get_tpc_info(tpc=tpc),
+                                      quantization_workflow=workflow,
+                                      mp_weights_compression=mp_wcr)
\ No newline at end of file