diff --git a/tensorflow/lite/delegates/gpu/cl/kernels/elementwise.cc b/tensorflow/lite/delegates/gpu/cl/kernels/elementwise.cc
index a81c8be9ea1..29565b0910e 100644
--- a/tensorflow/lite/delegates/gpu/cl/kernels/elementwise.cc
+++ b/tensorflow/lite/delegates/gpu/cl/kernels/elementwise.cc
@@ -131,6 +131,43 @@ std::string GetTwoInputCode(const OperationType& op_type,
     case OperationType::SUB:
       result += "$0 = $1 - $2;\n";
       break;
+    // Comparison operators
+    case OperationType::LESS:
+      result = "$0.x = $1.x < $2.x ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      result += "$0.y = $1.y < $2.y ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      result += "$0.z = $1.z < $2.z ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      result += "$0.w = $1.w < $2.w ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      break;
+    case OperationType::LESS_EQUAL:
+      result = "$0.x = $1.x <= $2.x ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      result += "$0.y = $1.y <= $2.y ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      result += "$0.z = $1.z <= $2.z ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      result += "$0.w = $1.w <= $2.w ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      break;
+    case OperationType::GREATER:
+      result = "$0.x = $1.x > $2.x ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      result += "$0.y = $1.y > $2.y ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      result += "$0.z = $1.z > $2.z ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      result += "$0.w = $1.w > $2.w ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      break;
+    case OperationType::GREATER_EQUAL:
+      result = "$0.x = $1.x >= $2.x ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      result += "$0.y = $1.y >= $2.y ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      result += "$0.z = $1.z >= $2.z ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      result += "$0.w = $1.w >= $2.w ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      break;
+    case OperationType::EQUAL:
+      result = "$0.x = $1.x == $2.x ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      result += "$0.y = $1.y == $2.y ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      result += "$0.z = $1.z == $2.z ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      result += "$0.w = $1.w == $2.w ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      break;
+    case OperationType::NOT_EQUAL:
+      result = "$0.x = $1.x != $2.x ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      result += "$0.y = $1.y != $2.y ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      result += "$0.z = $1.z != $2.z ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      result += "$0.w = $1.w != $2.w ? (FLT)(1.0f) : (FLT)(0.0f);\n";
+      break;
     default:
       return "Unknown operation type;\n";
   }
diff --git a/tensorflow/lite/delegates/gpu/cl/kernels/elementwise_test.cc b/tensorflow/lite/delegates/gpu/cl/kernels/elementwise_test.cc
index b6b501bd11b..b48f66ce600 100644
--- a/tensorflow/lite/delegates/gpu/cl/kernels/elementwise_test.cc
+++ b/tensorflow/lite/delegates/gpu/cl/kernels/elementwise_test.cc
@@ -841,6 +841,174 @@ TEST_F(OpenCLOperationTest, SubWithScalarAtFirstPosition) {
   }
 }
 
+TEST_F(OpenCLOperationTest, Less) {
+  TensorFloat32 src_tensor_0, src_tensor_1;
+  src_tensor_0.shape = BHWC(1, 2, 1, 2);
+  src_tensor_1.shape = BHWC(1, 2, 1, 2);
+  src_tensor_0.data = {0.0f, 1.0f, 2.0f, 3.0f};
+  src_tensor_1.data = {1.0f, 0.0f, 2.0f, -4.0f};
+
+  for (auto storage : env_.GetSupportedStorages()) {
+    for (auto precision : env_.GetSupportedPrecisions()) {
+      const float eps = precision == CalculationsPrecision::F32 ? 1e-6f : 1e-2f;
+      OperationDef op_def;
+      op_def.precision = precision;
+      auto data_type = DeduceDataTypeFromPrecision(precision);
+      op_def.src_tensors.push_back({data_type, storage, Layout::HWC});
+      op_def.src_tensors.push_back({data_type, storage, Layout::HWC});
+      op_def.dst_tensors.push_back({data_type, storage, Layout::HWC});
+      TensorFloat32 dst_tensor;
+      GPUOperation operation = CreateElementwiseTwoInput(
+          op_def, OperationType::LESS, src_tensor_1.shape);
+      ASSERT_OK(ExecuteGPUOperation({src_tensor_0, src_tensor_1},
+                                    creation_context_, &operation,
+                                    BHWC(1, 2, 1, 2), &dst_tensor));
+      EXPECT_THAT(dst_tensor.data,
+                  Pointwise(FloatNear(eps), {1.0f, 0.0f, 0.0f, 0.0f}));
+    }
+  }
+}
+
+TEST_F(OpenCLOperationTest, LessEqual) {
+  TensorFloat32 src_tensor_0;
+  src_tensor_0.shape = BHWC(1, 2, 1, 2);
+  src_tensor_0.data = {0.0f, 1.0f, 2.0f, 3.0f};
+
+  ElementwiseAttributes attr;
+  attr.param = 2.0f;
+
+  for (auto storage : env_.GetSupportedStorages()) {
+    for (auto precision : env_.GetSupportedPrecisions()) {
+      const float eps = precision == CalculationsPrecision::F32 ? 1e-6f : 1e-2f;
+      OperationDef op_def;
+      op_def.precision = precision;
+      auto data_type = DeduceDataTypeFromPrecision(precision);
+      op_def.src_tensors.push_back({data_type, storage, Layout::HWC});
+      op_def.dst_tensors.push_back({data_type, storage, Layout::HWC});
+      TensorFloat32 dst_tensor;
+      GPUOperation operation =
+          CreateElementwise(creation_context_.GetDeviceInfo(), op_def,
+                            OperationType::LESS_EQUAL, attr);
+      ASSERT_OK(ExecuteGPUOperation(src_tensor_0, creation_context_, &operation,
+                                    BHWC(1, 2, 1, 2), &dst_tensor));
+      EXPECT_THAT(dst_tensor.data,
+                  Pointwise(FloatNear(eps), {1.0f, 1.0f, 1.0f, 0.0f}));
+    }
+  }
+}
+
+TEST_F(OpenCLOperationTest, Greater) {
+  TensorFloat32 src_tensor_0;
+  src_tensor_0.shape = BHWC(1, 2, 1, 2);
+  src_tensor_0.data = {0.0f, 1.0f, 2.0f, 3.0f};
+
+  ElementwiseAttributes attr;
+  attr.param = 2.0f;
+
+  for (auto storage : env_.GetSupportedStorages()) {
+    for (auto precision : env_.GetSupportedPrecisions()) {
+      const float eps = precision == CalculationsPrecision::F32 ? 1e-6f : 1e-2f;
+      OperationDef op_def;
+      op_def.precision = precision;
+      auto data_type = DeduceDataTypeFromPrecision(precision);
+      op_def.src_tensors.push_back({data_type, storage, Layout::HWC});
+      op_def.dst_tensors.push_back({data_type, storage, Layout::HWC});
+      TensorFloat32 dst_tensor;
+      GPUOperation operation =
+          CreateElementwise(creation_context_.GetDeviceInfo(), op_def,
+                            OperationType::GREATER, attr);
+      ASSERT_OK(ExecuteGPUOperation(src_tensor_0, creation_context_, &operation,
+                                    BHWC(1, 2, 1, 2), &dst_tensor));
+      EXPECT_THAT(dst_tensor.data,
+                  Pointwise(FloatNear(eps), {0.0f, 0.0f, 0.0f, 1.0f}));
+    }
+  }
+}
+
+TEST_F(OpenCLOperationTest, GreaterEqual) {
+  TensorFloat32 src_tensor_0;
+  src_tensor_0.shape = BHWC(1, 2, 1, 2);
+  src_tensor_0.data = {0.0f, 1.0f, 2.0f, 3.0f};
+
+  ElementwiseAttributes attr;
+  attr.param = 2.0f;
+
+  for (auto storage : env_.GetSupportedStorages()) {
+    for (auto precision : env_.GetSupportedPrecisions()) {
+      const float eps = precision == CalculationsPrecision::F32 ? 1e-6f : 1e-2f;
+      OperationDef op_def;
+      op_def.precision = precision;
+      auto data_type = DeduceDataTypeFromPrecision(precision);
+      op_def.src_tensors.push_back({data_type, storage, Layout::HWC});
+      op_def.dst_tensors.push_back({data_type, storage, Layout::HWC});
+      TensorFloat32 dst_tensor;
+      GPUOperation operation =
+          CreateElementwise(creation_context_.GetDeviceInfo(), op_def,
+                            OperationType::GREATER_EQUAL, attr);
+      ASSERT_OK(ExecuteGPUOperation(src_tensor_0, creation_context_, &operation,
+                                    BHWC(1, 2, 1, 2), &dst_tensor));
+      EXPECT_THAT(dst_tensor.data,
+                  Pointwise(FloatNear(eps), {0.0f, 0.0f, 1.0f, 1.0f}));
+    }
+  }
+}
+
+TEST_F(OpenCLOperationTest, Equal) {
+  TensorFloat32 src_tensor_0;
+  src_tensor_0.shape = BHWC(1, 2, 1, 2);
+  src_tensor_0.data = {0.0f, 1.0f, 2.0f, 3.0f};
+
+  ElementwiseAttributes attr;
+  attr.param = 2.0f;
+
+  for (auto storage : env_.GetSupportedStorages()) {
+    for (auto precision : env_.GetSupportedPrecisions()) {
+      const float eps = precision == CalculationsPrecision::F32 ? 1e-6f : 1e-2f;
+      OperationDef op_def;
+      op_def.precision = precision;
+      auto data_type = DeduceDataTypeFromPrecision(precision);
+      op_def.src_tensors.push_back({data_type, storage, Layout::HWC});
+      op_def.dst_tensors.push_back({data_type, storage, Layout::HWC});
+      TensorFloat32 dst_tensor;
+      GPUOperation operation =
+          CreateElementwise(creation_context_.GetDeviceInfo(), op_def,
+                            OperationType::EQUAL, attr);
+      ASSERT_OK(ExecuteGPUOperation(src_tensor_0, creation_context_, &operation,
+                                    BHWC(1, 2, 1, 2), &dst_tensor));
+      EXPECT_THAT(dst_tensor.data,
+                  Pointwise(FloatNear(eps), {0.0f, 0.0f, 1.0f, 0.0f}));
+    }
+  }
+}
+
+TEST_F(OpenCLOperationTest, NotEqual) {
+  TensorFloat32 src_tensor_0;
+  src_tensor_0.shape = BHWC(1, 2, 1, 2);
+  src_tensor_0.data = {0.0f, 1.0f, 2.0f, 3.0f};
+
+  ElementwiseAttributes attr;
+  attr.param = 2.0f;
+
+  for (auto storage : env_.GetSupportedStorages()) {
+    for (auto precision : env_.GetSupportedPrecisions()) {
+      const float eps = precision == CalculationsPrecision::F32 ? 1e-6f : 1e-2f;
+      OperationDef op_def;
+      op_def.precision = precision;
+      auto data_type = DeduceDataTypeFromPrecision(precision);
+      op_def.src_tensors.push_back({data_type, storage, Layout::HWC});
+      op_def.dst_tensors.push_back({data_type, storage, Layout::HWC});
+      TensorFloat32 dst_tensor;
+      GPUOperation operation =
+          CreateElementwise(creation_context_.GetDeviceInfo(), op_def,
+                            OperationType::NOT_EQUAL, attr);
+      ASSERT_OK(ExecuteGPUOperation(src_tensor_0, creation_context_, &operation,
+                                    BHWC(1, 2, 1, 2), &dst_tensor));
+      EXPECT_THAT(dst_tensor.data,
+                  Pointwise(FloatNear(eps), {1.0f, 1.0f, 0.0f, 1.0f}));
+    }
+  }
+}
+
 }  // namespace
 }  // namespace cl
 }  // namespace gpu
diff --git a/tensorflow/lite/delegates/gpu/cl/selectors/operation_selector.cc b/tensorflow/lite/delegates/gpu/cl/selectors/operation_selector.cc
index d259e989dd9..0bd78103409 100644
--- a/tensorflow/lite/delegates/gpu/cl/selectors/operation_selector.cc
+++ b/tensorflow/lite/delegates/gpu/cl/selectors/operation_selector.cc
@@ -348,9 +348,15 @@ absl::Status GPUOperationFromNode(const DeviceInfo& device_info,
       return absl::OkStatus();
     }
     case OperationType::DIV:
+    case OperationType::EQUAL:
+    case OperationType::GREATER:
+    case OperationType::GREATER_EQUAL:
+    case OperationType::LESS:
+    case OperationType::LESS_EQUAL:
     case OperationType::MAXIMUM:
     case OperationType::MINIMUM:
     case OperationType::MUL:
+    case OperationType::NOT_EQUAL:
     case OperationType::POW:
     case OperationType::SQUARED_DIFF:
     case OperationType::SUB: {