diff --git a/tests/validation/CL/FullyConnectedLayer.cpp b/tests/validation/CL/FullyConnectedLayer.cpp
index 7db9cf5..069d8a7 100644
--- a/tests/validation/CL/FullyConnectedLayer.cpp
+++ b/tests/validation/CL/FullyConnectedLayer.cpp
@@ -47,8 +47,6 @@
 RelativeTolerance<half_float::half> tolerance_f16(half(0.2));
 constexpr float                     tolerance_num = 0.07f; /**< Tolerance number */
 
-/** Tolerance for fixed point operations */
-constexpr AbsoluteTolerance<float> tolerance_fixed_point(1.f);
 /** Tolerance for quantized asymmetric operations */
 constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1);
 
@@ -57,8 +55,6 @@
 {
     DataType::F16,
     DataType::F32,
-    DataType::QS8,
-    DataType::QS16,
     DataType::QASYMM8,
 });
 
@@ -119,36 +115,32 @@
 // clang-format off
 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(
     framework::dataset::make("InputInfo", { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32),    // Mismatching data types
-                                            TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::QS8, 2), // Mismatching fixed point position
                                             TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32),
                                             TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32),
                                             TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32),    // Invalid weights dimensions
                                             TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32),    // Wrongly reshaped weights
                                           }),
     framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(315U, 271U), 1, DataType::F16),
-                                             TensorInfo(TensorShape(315U, 271U), 1, DataType::QS8, 3),
                                              TensorInfo(TensorShape(192U, 192U), 1, DataType::F32),
                                              TensorInfo(TensorShape(192U, 192U), 1, DataType::F32),
                                              TensorInfo(TensorShape(217U, 231U), 1, DataType::F32),
                                              TensorInfo(TensorShape(217U, 315U), 1, DataType::F32),
                                           })),
     framework::dataset::make("BiasInfo",{ TensorInfo(TensorShape(271U), 1, DataType::F32),
-                                          TensorInfo(TensorShape(271U), 1, DataType::QS8, 2),
                                           TensorInfo(TensorShape(192U), 1, DataType::F32),
                                           TensorInfo(TensorShape(192U), 1, DataType::F32),
                                           TensorInfo(TensorShape(271U), 1, DataType::F32),
                                           TensorInfo(TensorShape(271U), 1, DataType::F32),
                                           })),
     framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(271U, 3U), 1, DataType::F32),
-                                            TensorInfo(TensorShape(271U, 3U), 1, DataType::QS8, 3),
                                             TensorInfo(TensorShape(192U, 4U), 1, DataType::F32),
                                             TensorInfo(TensorShape(192U, 4U), 1, DataType::F32),
                                             TensorInfo(TensorShape(271U, 3U), 1, DataType::F32),
                                             TensorInfo(TensorShape(271U, 3U), 1, DataType::F32),
                                            })),
-    framework::dataset::make("TransposeWeights",{ true, true, true, false, true, true })),
-    framework::dataset::make("ReshapedWeights",{ false, false, false, false, false, false})),
-    framework::dataset::make("Expected", { false, false, true, true, false, false })),
+    framework::dataset::make("TransposeWeights",{ true, true, false, true, true })),
+    framework::dataset::make("ReshapedWeights",{ false, false, false, false, false})),
+    framework::dataset::make("Expected", { false, true, true, false, false })),
     input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)
 {
     Status status = CLFullyConnectedLayer::validate(&input_info.clone()->set_is_resizable(false),
@@ -202,52 +194,6 @@
 template <typename T>
 using CLFullyConnectedLayerFixedPointFixture = FullyConnectedLayerValidationFixedPointFixture<CLTensor, CLAccessor, CLFullyConnectedLayer, T, false>;
 
-TEST_SUITE(FixedPoint)
-TEST_SUITE(QS8)
-// Testing for fixed point position [1,6) as reciprocal limits the maximum fixed point position to 5
-FIXTURE_DATA_TEST_CASE(RunTiny, CLFullyConnectedLayerFixedPointFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::TinyFullyConnectedLayerDataset(),
-                       FullyConnectedParameters),
-                       framework::dataset::make("DataType",
-                                                DataType::QS8)),
-                       framework::dataset::make("FractionalBits", 1, 6)))
-{
-    // Validate output
-    validate(CLAccessor(_target), _reference, tolerance_fixed_point);
-}
-FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerFixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallFullyConnectedLayerDataset(),
-                       FullyConnectedParameters),
-                       framework::dataset::make("DataType",
-                                                DataType::QS8)),
-                       framework::dataset::make("FractionalBits", 1, 6)))
-{
-    // Validate output
-    validate(CLAccessor(_target), _reference, tolerance_fixed_point);
-}
-TEST_SUITE_END()
-
-TEST_SUITE(QS16)
-// Testing for fixed point position [1,14) as reciprocal limits the maximum fixed point position to 14
-FIXTURE_DATA_TEST_CASE(RunTiny, CLFullyConnectedLayerFixedPointFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::TinyFullyConnectedLayerDataset(),
-                       FullyConnectedParameters),
-                       framework::dataset::make("DataType",
-                                                DataType::QS16)),
-                       framework::dataset::make("FractionalBits", 1, 14)))
-{
-    // Validate output
-    validate(CLAccessor(_target), _reference, tolerance_fixed_point);
-}
-FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerFixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallFullyConnectedLayerDataset(),
-                       FullyConnectedParameters),
-                       framework::dataset::make("DataType",
-                                                DataType::QS16)),
-                       framework::dataset::make("FractionalBits", 1, 14)))
-{
-    // Validate output
-    validate(CLAccessor(_target), _reference, tolerance_fixed_point);
-}
-TEST_SUITE_END()
-TEST_SUITE_END()
-
 template <typename T>
 using CLFullyConnectedLayerQuantizedFixture = FullyConnectedLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLFullyConnectedLayer, T, false>;