diff --git a/onert-micro/onert-micro/include/pal/common/PALLogistic.h b/onert-micro/onert-micro/include/pal/common/PALLogistic.h
new file mode 100644
index 00000000000..de0f4f94fdd
--- /dev/null
+++ b/onert-micro/onert-micro/include/pal/common/PALLogistic.h
@@ -0,0 +1,109 @@
+/*
+ * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright 2020 The TensorFlow Authors. 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 ONERT_MICRO_EXECUTE_PAL_LOGISTIC_H
+#define ONERT_MICRO_EXECUTE_PAL_LOGISTIC_H
+
+#include "PALUtils.h"
+
+#include <cmath>
+
+namespace onert_micro
+{
+namespace execute
+{
+namespace pal
+{
+
+OMStatus inline Logistic(const int flat_size, const float *input_data, float *output_data)
+{
+  const float cutoff_upper = 16.619047164916992188f;
+  const float cutoff_lower = -9.f;
+
+  // Rational for using approximation in reference kernel.
+  // 0. This approximation gives enough precision for float.
+  // 1. This works around an issue on an embedded chipset where exp() does not
+  // return correctly as expected - exp(x) should return inf when overflown
+  // not 1.701417   IEEE 754 defines representation for inf.
+  // 2. This will speed up calculation and is matching the behavior in the
+  // optimized kernels. (check the definition of scalar_logistic_op<float>)
+
+  for (int i = 0; i < flat_size; i++)
+  {
+    float val = input_data[i];
+    float result;
+    if (val > cutoff_upper)
+    {
+      result = 1.0f;
+    }
+    else if (val < cutoff_lower)
+    {
+      result = std::exp(val);
+    }
+    else
+    {
+      result = 1.f / (1.f + std::exp(-val));
+    }
+    output_data[i] = result;
+  }
+  return Ok;
+}
+
+OMStatus inline Logistic(const int flat_size, const int8_t *input_data, float input_scale,
+                         int input_zero_point, int8_t *output_data, float output_scale,
+                         int output_zero_point)
+{
+  const float cutoff_upper = 16.619047164916992188f;
+  const float cutoff_lower = -9.f;
+
+  // Rational for using approximation in reference kernel.
+  // 0. This approximation gives enough precision for float.
+  // 1. This works around an issue on an embedded chipset where exp() does not
+  // return correctly as expected - exp(x) should return inf when overflown
+  // not 1.701417   IEEE 754 defines representation for inf.
+  // 2. This will speed up calculation and is matching the behavior in the
+  // optimized kernels. (check the definition of scalar_logistic_op<float>)
+
+  for (int i = 0; i < flat_size; i++)
+  {
+    // Dequantize.
+    float val = static_cast<float>((input_data[i] - input_zero_point) * input_scale);
+    float result;
+    if (val > cutoff_upper)
+    {
+      result = 1.0f;
+    }
+    else if (val < cutoff_lower)
+    {
+      result = std::exp(val);
+    }
+    else
+    {
+      result = 1.f / (1.f + std::exp(-val));
+    }
+    // Requantize
+    int8_t output = static_cast<int8_t>(result / output_scale + output_zero_point);
+    output_data[i] = output;
+  }
+  return Ok;
+}
+
+} // namespace pal
+} // namespace execute
+} // namespace onert_micro
+
+#endif // ONERT_MICRO_EXECUTE_PAL_LOGISTIC_H
diff --git a/onert-micro/onert-micro/include/pal/mcu/KernelsToBuild.lst b/onert-micro/onert-micro/include/pal/mcu/KernelsToBuild.lst
index 2573c352c40..5bc3135af80 100644
--- a/onert-micro/onert-micro/include/pal/mcu/KernelsToBuild.lst
+++ b/onert-micro/onert-micro/include/pal/mcu/KernelsToBuild.lst
@@ -1,3 +1,4 @@
 REGISTER_KERNEL(ABS, Abs)
 REGISTER_KERNEL(ADD, Add)
+REGISTER_KERNEL(LOGISTIC, Logistic)
 REGISTER_KERNEL(CONCATENATION, Concatenation)
diff --git a/onert-micro/onert-micro/include/test_models/logistic/FloatLogisticKernel.h b/onert-micro/onert-micro/include/test_models/logistic/FloatLogisticKernel.h
new file mode 100644
index 00000000000..88a1f124caa
--- /dev/null
+++ b/onert-micro/onert-micro/include/test_models/logistic/FloatLogisticKernel.h
@@ -0,0 +1,90 @@
+/*
+ * 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 ONERT_MICRO_TEST_MODELS_FLOAT_LOGISTIC_KERNEL_H
+#define ONERT_MICRO_TEST_MODELS_FLOAT_LOGISTIC_KERNEL_H
+
+#include "TestDataLogisticBase.h"
+
+namespace onert_micro
+{
+namespace test_model
+{
+namespace logistic_float
+{
+/*
+ * Logistic Kernel:
+ *
+ *      Input(1, 3, 3, 2)
+ *            |
+ *         Logistic
+ *            |
+ *      Output(1, 3, 3, 2)
+ */
+const unsigned char test_kernel_model_circle[] = {
+  0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x2c, 0x00, 0x00, 0x00, 0x14, 0x01, 0x00, 0x00, 0x30, 0x01, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x18, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xf8, 0xff, 0xff, 0xff,
+  0xfc, 0xff, 0xff, 0xff, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00,
+  0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
+  0x48, 0x00, 0x00, 0x00, 0x4c, 0x00, 0x00, 0x00, 0x50, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x0a, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0a, 0x00, 0x00, 0x00,
+  0x08, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0xd4, 0xff, 0xff, 0xff, 0x0c, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x69, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d,
+  0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00};
+
+const std::vector<float> input_data = {29.353455, 12.060211,  11.372606,  -9.009369,  3.0267563,
+                                       5.1447716, 21.289762,  19.976126,  8.726238,   4.8797092,
+                                       3.64571,   34.80062,   -6.9072685, -2.2714958, -16.44065,
+                                       0.334301,  -20.372694, 4.1522675};
+
+const std::vector<float> reference_output_data = {
+  1.0,          0.99999416,  0.99998844,    0.00012225899, 0.9537683,     0.994204,
+  1.0,          1.0,         0.99983776,    0.9924581,     0.97456115,    1.0,
+  0.0009994869, 0.093511336, 7.2429586e-08, 0.5828055,     1.4198792e-09, 0.98451483};
+
+} // namespace logistic_float
+
+class TestDataFloatLogistic : public TestDataLogisticBase<float>
+{
+public:
+  TestDataFloatLogistic()
+  {
+    _input_data = logistic_float::input_data;
+    _reference_output_data = logistic_float::reference_output_data;
+    _test_kernel_model_circle = logistic_float::test_kernel_model_circle;
+  }
+
+  ~TestDataFloatLogistic() override = default;
+};
+
+} // namespace test_model
+} // namespace onert_micro
+
+#endif // ONERT_MICRO_TEST_MODELS_FLOAT_LOGISTIC_KERNEL_H
diff --git a/onert-micro/onert-micro/include/test_models/logistic/NegLogisticKernel.h b/onert-micro/onert-micro/include/test_models/logistic/NegLogisticKernel.h
new file mode 100644
index 00000000000..430c9b37fc2
--- /dev/null
+++ b/onert-micro/onert-micro/include/test_models/logistic/NegLogisticKernel.h
@@ -0,0 +1,139 @@
+/*
+ * 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 ONERT_MICRO_TEST_MODELS_NEG_LOGISTIC_KERNEL_H
+#define ONERT_MICRO_TEST_MODELS_NEG_LOGISTIC_KERNEL_H
+
+#include "TestDataLogisticBase.h"
+
+namespace onert_micro
+{
+namespace test_model
+{
+namespace neg_logistic_input_output_type_mismatch
+{
+/*
+ * Logistic Kernel with input output type mismatch (should be equal):
+ *
+ *      Input(1, 3, 3, 2) - Float
+ *            |
+ *         Logistic
+ *            |
+ *      Output(1, 3, 3, 2) - Int
+ */
+const unsigned char test_kernel_model_circle[] = {
+  0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x2c, 0x00, 0x00, 0x00, 0x24, 0x01, 0x00, 0x00, 0x40, 0x01, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x18, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xf8, 0xff, 0xff, 0xff,
+  0xfc, 0xff, 0xff, 0xff, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00,
+  0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
+  0x48, 0x00, 0x00, 0x00, 0x4c, 0x00, 0x00, 0x00, 0x50, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x0a, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0a, 0x00, 0x00, 0x00,
+  0x08, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x50, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02,
+  0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x69, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d,
+  0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00};
+
+} // namespace neg_logistic_input_output_type_mismatch
+
+namespace neg_logistic_no_quant_params
+{
+/*
+ * Logistic Kernel with UINT8 type and without quant params:
+ *
+ *      Input(1, 3, 3, 2) - UINT8
+ *            |
+ *         Logistic (no quant params)
+ *            |
+ *      Output(1, 3, 3, 2) - UINT8
+ */
+const unsigned char test_kernel_model_circle[] = {
+  0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x2c, 0x00, 0x00, 0x00, 0x1c, 0x01, 0x00, 0x00, 0x38, 0x01, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x18, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xf8, 0xff, 0xff, 0xff,
+  0xfc, 0xff, 0xff, 0xff, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00,
+  0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
+  0x48, 0x00, 0x00, 0x00, 0x4c, 0x00, 0x00, 0x00, 0x50, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x0a, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0a, 0x00, 0x00, 0x00,
+  0x08, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x44, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0xd0, 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x03, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x03,
+  0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x69, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e,
+  0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d, 0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63,
+  0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00};
+
+} // namespace neg_logistic_no_quant_params
+
+class NegTestDataInputOutputTypeMismatchLogisticKernel : public NegTestDataBase
+{
+public:
+  NegTestDataInputOutputTypeMismatchLogisticKernel()
+  {
+    _test_kernel_model_circle = neg_logistic_input_output_type_mismatch::test_kernel_model_circle;
+  }
+
+  ~NegTestDataInputOutputTypeMismatchLogisticKernel() override = default;
+
+  const unsigned char *get_model_ptr() override final { return _test_kernel_model_circle; }
+
+protected:
+  const unsigned char *_test_kernel_model_circle;
+};
+
+class NegTestDataNoQuantParamsLogisticKernel : public NegTestDataBase
+{
+public:
+  NegTestDataNoQuantParamsLogisticKernel()
+  {
+    _test_kernel_model_circle = neg_logistic_no_quant_params::test_kernel_model_circle;
+  }
+
+  ~NegTestDataNoQuantParamsLogisticKernel() override = default;
+
+  const unsigned char *get_model_ptr() override final { return _test_kernel_model_circle; }
+
+protected:
+  const unsigned char *_test_kernel_model_circle;
+};
+
+} // namespace test_model
+} // namespace onert_micro
+
+#endif // ONERT_MICRO_TEST_MODELS_NEG_LOGISTIC_KERNEL_H
diff --git a/onert-micro/onert-micro/include/test_models/logistic/TestDataLogisticBase.h b/onert-micro/onert-micro/include/test_models/logistic/TestDataLogisticBase.h
new file mode 100644
index 00000000000..d972ff86364
--- /dev/null
+++ b/onert-micro/onert-micro/include/test_models/logistic/TestDataLogisticBase.h
@@ -0,0 +1,60 @@
+/*
+ * 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 ONERT_MICRO_TEST_MODELS_LOGISTIC_KERNEL_BASE_H
+#define ONERT_MICRO_TEST_MODELS_LOGISTIC_KERNEL_BASE_H
+
+#include "test_models/TestDataBase.h"
+
+namespace onert_micro
+{
+namespace test_model
+{
+
+template <typename T> class TestDataLogisticBase : public TestDataBase<T>
+{
+public:
+  TestDataLogisticBase() = default;
+
+  const unsigned char *get_model_ptr() override final { return _test_kernel_model_circle; }
+
+  const std::vector<T> &get_input_data_by_index(int i) override final
+  {
+    switch (i)
+    {
+      case 0:
+        return _input_data;
+      default:
+        assert(false && "Wrong input index");
+    }
+  }
+
+  const std::vector<T> &get_output_data_by_index(int i) override final
+  {
+    assert(i == 0);
+    return _reference_output_data;
+  }
+
+protected:
+  std::vector<T> _input_data;
+  std::vector<T> _reference_output_data;
+  const unsigned char *_test_kernel_model_circle;
+};
+
+} // namespace test_model
+} // namespace onert_micro
+
+#endif // ONERT_MICRO_TEST_MODELS_LOGISTIC_KERNEL_BASE_H
diff --git a/onert-micro/onert-micro/src/execute/kernels/Logistic.cpp b/onert-micro/onert-micro/src/execute/kernels/Logistic.cpp
new file mode 100644
index 00000000000..adf05d2b219
--- /dev/null
+++ b/onert-micro/onert-micro/src/execute/kernels/Logistic.cpp
@@ -0,0 +1,119 @@
+/*
+ * 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 "OMStatus.h"
+
+#include "core/OMUtils.h"
+
+#include "execute/OMKernelExecutionBuilder.h"
+#include "execute/OMRuntimeKernel.h"
+
+#include "PALLogistic.h"
+
+using namespace onert_micro;
+using namespace onert_micro::execute;
+
+namespace
+{
+
+constexpr uint32_t inputTensorIdx = 0;
+constexpr uint32_t outputTensorIdx = 0;
+
+} // namespace
+
+// NOTE: doesnt currently support dynamic shapes
+OMStatus onert_micro::execute::execute_kernel_CircleLogistic(const OMExecuteArgs &execute_args)
+{
+  core::OMRuntimeContext &runtime_context = execute_args.runtime_context;
+  core::OMRuntimeStorage &runtime_storage = execute_args.runtime_storage;
+  uint16_t op_index = execute_args.kernel_index;
+
+  const circle::Tensor *input = nullptr;
+  const circle::Tensor *output = nullptr;
+
+  uint8_t *input_data = nullptr;
+  uint8_t *output_data = nullptr;
+
+  OMStatus status = Ok;
+
+  {
+    OMRuntimeKernel runtime_kernel;
+    runtime_kernel.readKernel(op_index, runtime_context);
+
+    input = runtime_kernel.inputs[inputTensorIdx];
+    output = runtime_kernel.outputs[outputTensorIdx];
+
+    assert(input != nullptr);
+    assert(output != nullptr);
+
+    status = runtime_kernel.getDataFromStorage(op_index, runtime_storage, runtime_context);
+    if (status != Ok)
+      return status;
+
+    input_data = runtime_kernel.inputs_data[inputTensorIdx];
+    output_data = runtime_kernel.outputs_data[outputTensorIdx];
+  }
+
+  assert(input_data != nullptr);
+  assert(output_data != nullptr);
+
+  switch (input->type())
+  {
+#ifndef DIS_FLOAT
+    case circle::TensorType_FLOAT32:
+    {
+      status = pal::Logistic(core::OMRuntimeShape(input).flatSize(),
+                             core::utils::castInputData<float>(input_data),
+                             core::utils::castOutputData<float>(output_data));
+    }
+    break;
+#endif // DIS_FLOAT
+#ifndef DIS_QUANT
+    case circle::TensorType_INT8:
+    {
+      assert(input->quantization() != nullptr);
+      assert(input->quantization()->scale() != nullptr);
+      assert(input->quantization()->scale()->size() == 1);
+      assert(input->quantization()->zero_point() != nullptr);
+      assert(input->quantization()->zero_point()->size() == 1);
+
+      assert(output->quantization() != nullptr);
+      assert(output->quantization()->scale() != nullptr);
+      assert(output->quantization()->scale()->size() == 1);
+      assert(output->quantization()->zero_point() != nullptr);
+      assert(output->quantization()->zero_point()->size() == 1);
+
+      auto input_scale = *input->quantization()->scale()->begin();
+      auto input_zero_point = *input->quantization()->zero_point()->begin();
+      auto output_scale = *input->quantization()->scale()->begin();
+      auto output_zero_point = *input->quantization()->zero_point()->begin();
+
+      status = pal::Logistic(core::OMRuntimeShape(input).flatSize(),
+                             core::utils::castInputData<int8_t>(input_data), input_scale,
+                             input_zero_point, core::utils::castOutputData<int8_t>(output_data),
+                             output_scale, output_zero_point);
+    }
+    break;
+#endif // DIS_QUANT
+    default:
+    {
+      status = UnsupportedType;
+      assert(false && "Unsupported type.");
+    }
+  }
+
+  return status;
+}
diff --git a/onert-micro/onert-micro/src/execute/kernels/tests/Logistic.test.cpp b/onert-micro/onert-micro/src/execute/kernels/tests/Logistic.test.cpp
new file mode 100644
index 00000000000..9b82cadae50
--- /dev/null
+++ b/onert-micro/onert-micro/src/execute/kernels/tests/Logistic.test.cpp
@@ -0,0 +1,61 @@
+/*
+ * 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 "execute/OMTestUtils.h"
+#include "test_models/logistic/FloatLogisticKernel.h"
+#include "test_models/logistic/NegLogisticKernel.h"
+
+namespace onert_micro
+{
+namespace execute
+{
+namespace testing
+{
+
+using namespace testing;
+
+class LogisticTest : public ::testing::Test
+{
+  // Do nothing
+};
+
+TEST_F(LogisticTest, Float_P)
+{
+  onert_micro::test_model::TestDataFloatLogistic test_data_kernel;
+  std::vector<float> output_data_vector =
+    onert_micro::execute::testing::checkKernel<float>(1, &test_data_kernel);
+  EXPECT_THAT(output_data_vector, test_data_kernel.get_output_data_by_index(0));
+}
+
+TEST_F(LogisticTest, Input_output_type_mismatch_NEG)
+{
+  onert_micro::test_model::NegTestDataInputOutputTypeMismatchLogisticKernel test_data_kernel;
+
+  EXPECT_DEATH(checkNEGSISOKernel(&test_data_kernel), "");
+}
+
+TEST_F(LogisticTest, No_quant_params_NEG)
+{
+  onert_micro::test_model::NegTestDataNoQuantParamsLogisticKernel test_data_kernel;
+
+  EXPECT_DEATH(checkNEGSISOKernel(&test_data_kernel), "");
+}
+
+// TODO: Add S8 test
+
+} // namespace testing
+} // namespace execute
+} // namespace onert_micro
diff --git a/onert-micro/onert-micro/src/import/kernels/Logistic.cpp b/onert-micro/onert-micro/src/import/kernels/Logistic.cpp
new file mode 100644
index 00000000000..5392a41bc83
--- /dev/null
+++ b/onert-micro/onert-micro/src/import/kernels/Logistic.cpp
@@ -0,0 +1,80 @@
+/*
+ * 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 "OMStatus.h"
+
+#include "import/OMKernelConfigureBuilder.h"
+#include "core/OMUtils.h"
+#include "execute/OMRuntimeKernel.h"
+
+using namespace onert_micro;
+using namespace onert_micro::core;
+
+namespace
+{
+
+constexpr uint32_t inputTensorIdx = 0;
+constexpr uint32_t outputTensorIdx = 0;
+
+} // namespace
+
+OMStatus onert_micro::import::configure_kernel_CircleLogistic(const OMConfigureArgs &config_args)
+{
+  OMRuntimeContext &runtime_context = config_args.runtime_context;
+  uint16_t op_index = config_args.kernel_index;
+
+  onert_micro::execute::OMRuntimeKernel runtime_kernel;
+
+  OMStatus status = runtime_kernel.readKernel(op_index, runtime_context);
+  if (status != Ok)
+    return status;
+
+  const circle::Tensor *input = runtime_kernel.inputs[inputTensorIdx];
+  const circle::Tensor *output = runtime_kernel.outputs[outputTensorIdx];
+
+  assert(input != nullptr);
+  assert(output != nullptr);
+
+  status = utils::checkCondition(input->type() == output->type());
+  if (status != Ok)
+    return status;
+
+  OMRuntimeShape input_shape(input);
+  OMRuntimeShape output_shape(output);
+
+  status = utils::checkCondition(input_shape.dimensionsCount() == output_shape.dimensionsCount());
+  if (status != Ok)
+    return status;
+
+  status = utils::checkCondition(input_shape.flatSize() == output_shape.flatSize());
+  if (status != Ok)
+    return status;
+
+  if (input->type() != circle::TensorType_INT8 and input->type() != circle::TensorType_INT16)
+    return status;
+
+  // Check quantized version
+  if (input->quantization() == nullptr or output->quantization() == nullptr)
+    return NoQuantization;
+
+  if (output->quantization()->scale() == nullptr or output->quantization()->scale()->size() != 1)
+    return UnsupportedQuantizationType;
+
+  if (input->quantization()->scale() == nullptr or input->quantization()->scale()->size() != 1)
+    return UnsupportedQuantizationType;
+
+  return status;
+}