diff --git a/compiler/record-minmax/include/HDF5Iterator.h b/compiler/record-minmax/include/HDF5Iterator.h
new file mode 100644
index 00000000000..a810aaa3f26
--- /dev/null
+++ b/compiler/record-minmax/include/HDF5Iterator.h
@@ -0,0 +1,54 @@
+/*
+ * Copyright (c) 2024 Samsung Electronics Co., Ltd. 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.
+ */
+
+#ifndef __RECORD_MINMAX_HDF5_ITERATOR_H__
+#define __RECORD_MINMAX_HDF5_ITERATOR_H__
+
+#include "DataBuffer.h"
+#include "DataSetIterator.h"
+
+#include <luci/IR/Module.h>
+#include <luci/IR/CircleNodes.h>
+#include <dio_hdf5/HDF5Importer.h>
+
+#include <string>
+#include <vector>
+
+namespace record_minmax
+{
+
+class HDF5Iterator final : public DataSetIterator
+{
+public:
+  HDF5Iterator(const std::string &file_path, luci::Module *module);
+
+  bool hasNext() const override;
+
+  std::vector<DataBuffer> next() override;
+
+  bool check_type_shape() const override;
+
+private:
+  dio::hdf5::HDF5Importer _importer;
+  std::vector<const luci::CircleInput *> _input_nodes;
+  bool _is_raw_data = false;
+  uint32_t _curr_idx = 0;
+  uint32_t _num_data = 0;
+};
+
+} // namespace record_minmax
+
+#endif // __RECORD_MINMAX_HDF5_ITERATOR_H__
diff --git a/compiler/record-minmax/src/HDF5Iterator.cpp b/compiler/record-minmax/src/HDF5Iterator.cpp
new file mode 100644
index 00000000000..aaadc674b63
--- /dev/null
+++ b/compiler/record-minmax/src/HDF5Iterator.cpp
@@ -0,0 +1,100 @@
+/*
+ * Copyright (c) 2024 Samsung Electronics Co., Ltd. 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.
+ */
+
+#include "HDF5Iterator.h"
+#include "DataBuffer.h"
+#include "Utils.h"
+
+#include <luci/IR/Module.h>
+
+#include <vector>
+#include <string>
+
+namespace record_minmax
+{
+
+HDF5Iterator::HDF5Iterator(const std::string &file_path, luci::Module *module)
+  : _importer(file_path)
+{
+  try
+  {
+    _importer.importGroup("value");
+
+    _is_raw_data = _importer.isRawData();
+
+    _num_data = _importer.numData();
+  }
+  catch (const H5::Exception &e)
+  {
+    H5::Exception::printErrorStack();
+    throw std::runtime_error("HDF5 error occurred during initialization.");
+  }
+
+  auto input_nodes = loco::input_nodes(module->graph());
+  for (auto input_node : input_nodes)
+  {
+    const auto cnode = loco::must_cast<const luci::CircleInput *>(input_node);
+    _input_nodes.emplace_back(cnode);
+  }
+}
+
+bool HDF5Iterator::hasNext() const { return _curr_idx < _num_data; }
+
+std::vector<DataBuffer> HDF5Iterator::next()
+{
+  std::vector<DataBuffer> res;
+
+  try
+  {
+    for (int32_t input_idx = 0; input_idx < _importer.numInputs(_curr_idx); input_idx++)
+    {
+      DataBuffer buf;
+
+      const auto input_node = _input_nodes.at(input_idx);
+      const auto input_size = getTensorSize(input_node);
+      buf.data.resize(input_size);
+
+      if (check_type_shape())
+      {
+        _importer.readTensor(_curr_idx, input_idx, &buf.dtype, &buf.shape, buf.data.data(),
+                             input_size);
+      }
+      else
+      {
+        _importer.readTensor(_curr_idx, input_idx, buf.data.data(), input_size);
+      }
+
+      res.emplace_back(buf);
+    }
+  }
+  catch (const H5::Exception &e)
+  {
+    H5::Exception::printErrorStack();
+    throw std::runtime_error("HDF5 error occurred during iteration.");
+  }
+
+  _curr_idx++; // move to the next index
+
+  return res;
+}
+
+bool HDF5Iterator::check_type_shape() const
+{
+  // If it's raw data, we don't need to check type and shape
+  return not _is_raw_data;
+}
+
+} // namespace record_minmax