diff --git a/src/backends/backendsCommon/WorkloadData.cpp b/src/backends/backendsCommon/WorkloadData.cpp
index d2e893f..9cc8ba0 100644
--- a/src/backends/backendsCommon/WorkloadData.cpp
+++ b/src/backends/backendsCommon/WorkloadData.cpp
@@ -1024,12 +1024,22 @@
 
 void FloorQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateNumInputs(workloadInfo, "FloorQueueDescriptor", 1);
-    ValidateNumOutputs(workloadInfo, "FlootQueueDescriptor", 1);
+    const std::string floorQueueDescString = "FloorQueueDescriptor";
+
+    ValidateNumInputs(workloadInfo,  floorQueueDescString, 1);
+    ValidateNumOutputs(workloadInfo, floorQueueDescString, 1);
+
+    std::vector<DataType> supportedTypes =
+    {
+            DataType::Float32
+    };
+
+    ValidateDataTypes(workloadInfo.m_InputTensorInfos[0],  supportedTypes, floorQueueDescString);
+    ValidateDataTypes(workloadInfo.m_OutputTensorInfos[0], supportedTypes, floorQueueDescString);
 
     if (workloadInfo.m_InputTensorInfos[0] != workloadInfo.m_OutputTensorInfos[0])
     {
-        throw InvalidArgumentException("FloorQueueDescriptor: Input and output tensor infos do not match.");
+        throw InvalidArgumentException(floorQueueDescString + ": Input and output tensor infos do not match.");
     }
 }
 
diff --git a/src/backends/backendsCommon/test/CMakeLists.txt b/src/backends/backendsCommon/test/CMakeLists.txt
index 040835e..8fbd74d 100644
--- a/src/backends/backendsCommon/test/CMakeLists.txt
+++ b/src/backends/backendsCommon/test/CMakeLists.txt
@@ -41,7 +41,6 @@
     Pooling2dTestImpl.hpp
     QuantizeHelper.hpp
     QuantizeTestImpl.hpp
-    FloorTestImpl.hpp
     RuntimeTestImpl.hpp
     SoftmaxTestImpl.hpp
     SplitterEndToEndTestImpl.hpp
diff --git a/src/backends/backendsCommon/test/FloorTestImpl.hpp b/src/backends/backendsCommon/test/FloorTestImpl.hpp
deleted file mode 100644
index 419b1b7..0000000
--- a/src/backends/backendsCommon/test/FloorTestImpl.hpp
+++ /dev/null
@@ -1,56 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-#pragma once
-
-#include "QuantizeHelper.hpp"
-#include "WorkloadTestUtils.hpp"
-
-#include <armnn/ArmNN.hpp>
-#include <armnn/Tensor.hpp>
-#include <armnn/TypesUtils.hpp>
-
-#include <backendsCommon/CpuTensorHandle.hpp>
-#include <backendsCommon/IBackendInternal.hpp>
-#include <backendsCommon/WorkloadFactory.hpp>
-
-#include <test/TensorHelpers.hpp>
-
-LayerTestResult<float, 4> SimpleFloorTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    const armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float32);
-    const armnn::TensorInfo outputTensorInfo(inputTensorInfo);
-
-    auto input = MakeTensor<float, 4>(inputTensorInfo,
-        { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
-          1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f });
-
-    LayerTestResult<float, 4> ret(outputTensorInfo);
-    ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo,
-        { -38.0f, -16.0f, -9.0f, -2.0f, -2.0f, -2.0f, -1.0f, -1.0f, 0.0f,
-          1.0f, 0.0f, 0.0f, 1.0f, 1.0f, 2.0f, 8.0f, 15.0f, 37.0f });
-
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-
-    armnn::FloorQueueDescriptor data;
-    armnn::WorkloadInfo info;
-    AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
-    AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
-
-    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateFloor(data, info);
-
-    inputHandle->Allocate();
-    outputHandle->Allocate();
-
-    CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]);
-
-    workload->Execute();
-
-    CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get());
-
-    return ret;
-}
diff --git a/src/backends/backendsCommon/test/LayerTests.cpp b/src/backends/backendsCommon/test/LayerTests.cpp
index 4d5ee07..5679fff 100644
--- a/src/backends/backendsCommon/test/LayerTests.cpp
+++ b/src/backends/backendsCommon/test/LayerTests.cpp
@@ -30,7 +30,6 @@
 #include "BatchNormTestImpl.hpp"
 #include "ActivationTestImpl.hpp"
 #include "Pooling2dTestImpl.hpp"
-#include "FloorTestImpl.hpp"
 #include "FullyConnectedTestImpl.hpp"
 #include "GatherTestImpl.hpp"
 #include "SpaceToBatchNdTestImpl.hpp"
diff --git a/src/backends/backendsCommon/test/LayerTests.hpp b/src/backends/backendsCommon/test/LayerTests.hpp
index 02beab3..d75a10a 100644
--- a/src/backends/backendsCommon/test/LayerTests.hpp
+++ b/src/backends/backendsCommon/test/LayerTests.hpp
@@ -1957,3 +1957,44 @@
     return SimpleReshapeTestImpl<T>(
         workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected);
 }
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> SimpleFloorTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    const armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, ArmnnType);
+    const armnn::TensorInfo outputTensorInfo(inputTensorInfo);
+
+    auto input = MakeTensor<T, 4>(inputTensorInfo, ConvertToDataType<ArmnnType>(
+        { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
+        1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f },
+        inputTensorInfo));
+
+    LayerTestResult<T, 4> ret(outputTensorInfo);
+    ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, ConvertToDataType<ArmnnType>(
+        { -38.0f, -16.0f, -9.0f, -2.0f, -2.0f, -2.0f, -1.0f, -1.0f, 0.0f,
+        1.0f, 0.0f, 0.0f, 1.0f, 1.0f, 2.0f, 8.0f, 15.0f, 37.0f },
+        outputTensorInfo));
+
+    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
+
+    armnn::FloorQueueDescriptor data;
+    armnn::WorkloadInfo info;
+    AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
+    AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
+
+    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateFloor(data, info);
+
+    inputHandle->Allocate();
+    outputHandle->Allocate();
+
+    CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]);
+
+    workload->Execute();
+
+    CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get());
+
+    return ret;
+}
\ No newline at end of file
diff --git a/src/backends/cl/test/ClLayerTests.cpp b/src/backends/cl/test/ClLayerTests.cpp
index 76b8175..b92e88e 100644
--- a/src/backends/cl/test/ClLayerTests.cpp
+++ b/src/backends/cl/test/ClLayerTests.cpp
@@ -305,7 +305,7 @@
 ARMNN_AUTO_TEST_CASE(Concatenation4dDiffShapeDim3Uint8, Concatenation4dDiffShapeDim3Uint8Test, false)
 
 // Floor
-ARMNN_AUTO_TEST_CASE(SimpleFloor, SimpleFloorTest)
+ARMNN_AUTO_TEST_CASE(SimpleFloor, SimpleFloorTest<armnn::DataType::Float32>)
 
 // Reshape
 ARMNN_AUTO_TEST_CASE(SimpleReshapeFloat32, SimpleReshapeTest<armnn::DataType::Float32>)
diff --git a/src/backends/neon/test/NeonLayerTests.cpp b/src/backends/neon/test/NeonLayerTests.cpp
index 08e463a..f842892 100644
--- a/src/backends/neon/test/NeonLayerTests.cpp
+++ b/src/backends/neon/test/NeonLayerTests.cpp
@@ -403,7 +403,7 @@
 ARMNN_AUTO_TEST_CASE(L2Normalization4dNhwc, L2Normalization4dTest, armnn::DataLayout::NHWC)
 
 // Floor
-ARMNN_AUTO_TEST_CASE(SimpleFloor, SimpleFloorTest)
+ARMNN_AUTO_TEST_CASE(SimpleFloor, SimpleFloorTest<armnn::DataType::Float32>)
 
 // Greater
 ARMNN_AUTO_TEST_CASE(SimpleGreater, GreaterSimpleTest)
diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp
index fbe235d..5ec888b 100644
--- a/src/backends/reference/RefLayerSupport.cpp
+++ b/src/backends/reference/RefLayerSupport.cpp
@@ -597,10 +597,20 @@
                                        Optional<std::string&> reasonIfUnsupported) const
 {
     ignore_unused(output);
-    return IsSupportedForDataTypeRef(reasonIfUnsupported,
-                                     input.GetDataType(),
-                                     &TrueFunc<>,
-                                     &FalseFuncU8<>);
+    bool supported = true;
+
+    std::array<DataType,1> supportedTypes =
+    {
+        DataType::Float32
+    };
+
+    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
+                                  "Reference Floor: input type not supported.");
+
+    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
+                                  "Reference Floor: output type not supported.");
+
+    return supported;
 }
 
 bool RefLayerSupport::IsFullyConnectedSupported(const TensorInfo& input,
diff --git a/src/backends/reference/RefWorkloadFactory.cpp b/src/backends/reference/RefWorkloadFactory.cpp
index b829d54..500c14b 100644
--- a/src/backends/reference/RefWorkloadFactory.cpp
+++ b/src/backends/reference/RefWorkloadFactory.cpp
@@ -288,7 +288,7 @@
 std::unique_ptr<IWorkload> RefWorkloadFactory::CreateFloor(const FloorQueueDescriptor& descriptor,
                                                           const WorkloadInfo& info) const
 {
-    return MakeWorkload<RefFloorFloat32Workload, NullWorkload>(descriptor, info);
+    return std::make_unique<RefFloorWorkload>(descriptor, info);
 }
 
 std::unique_ptr<IWorkload> RefWorkloadFactory::CreateLstm(const LstmQueueDescriptor& descriptor,
diff --git a/src/backends/reference/backend.mk b/src/backends/reference/backend.mk
index 46aac05..f371c8b 100644
--- a/src/backends/reference/backend.mk
+++ b/src/backends/reference/backend.mk
@@ -41,7 +41,7 @@
         workloads/RefDetectionPostProcessUint8Workload.cpp \
         workloads/RefElementwiseWorkload.cpp \
         workloads/RefFakeQuantizationFloat32Workload.cpp \
-        workloads/RefFloorFloat32Workload.cpp \
+        workloads/RefFloorWorkload.cpp \
         workloads/RefFullyConnectedWorkload.cpp \
         workloads/RefGatherWorkload.cpp \
         workloads/RefL2NormalizationFloat32Workload.cpp \
diff --git a/src/backends/reference/test/RefLayerTests.cpp b/src/backends/reference/test/RefLayerTests.cpp
index ebd9ce2..6743ef9 100644
--- a/src/backends/reference/test/RefLayerTests.cpp
+++ b/src/backends/reference/test/RefLayerTests.cpp
@@ -452,7 +452,7 @@
 ARMNN_AUTO_TEST_CASE(Concatenation4dDiffShapeDim3Uint8, Concatenation4dDiffShapeDim3Uint8Test, true)
 
 // Floor
-ARMNN_AUTO_TEST_CASE(SimpleFloor, SimpleFloorTest)
+ARMNN_AUTO_TEST_CASE(SimpleFloor, SimpleFloorTest<armnn::DataType::Float32>)
 
 // Reshape
 ARMNN_AUTO_TEST_CASE(SimpleReshapeFloat32, SimpleReshapeTest<armnn::DataType::Float32>)
diff --git a/src/backends/reference/workloads/CMakeLists.txt b/src/backends/reference/workloads/CMakeLists.txt
index e57a40a..df126c4 100644
--- a/src/backends/reference/workloads/CMakeLists.txt
+++ b/src/backends/reference/workloads/CMakeLists.txt
@@ -67,8 +67,8 @@
     RefDetectionPostProcessFloat32Workload.hpp
     RefFakeQuantizationFloat32Workload.cpp
     RefFakeQuantizationFloat32Workload.hpp
-    RefFloorFloat32Workload.cpp
-    RefFloorFloat32Workload.hpp
+    RefFloorWorkload.cpp
+    RefFloorWorkload.hpp
     RefFullyConnectedWorkload.cpp
     RefFullyConnectedWorkload.hpp
     RefGatherWorkload.cpp
diff --git a/src/backends/reference/workloads/RefFloorFloat32Workload.cpp b/src/backends/reference/workloads/RefFloorFloat32Workload.cpp
deleted file mode 100644
index cc1f880..0000000
--- a/src/backends/reference/workloads/RefFloorFloat32Workload.cpp
+++ /dev/null
@@ -1,29 +0,0 @@
-﻿//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "RefFloorFloat32Workload.hpp"
-
-#include "RefWorkloadUtils.hpp"
-
-#include "Profiling.hpp"
-
-namespace armnn
-{
-
-void RefFloorFloat32Workload::Execute() const
-{
-    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefFloorFloat32Workload_Execute");
-
-    const float* const input = GetInputTensorDataFloat(0, m_Data);
-    float* const output = GetOutputTensorDataFloat(0, m_Data);
-
-    unsigned int numElements = GetTensorInfo(m_Data.m_Inputs[0]).GetNumElements();
-    for (unsigned int i = 0; i < numElements; ++i)
-    {
-        output[i] = floorf(input[i]);
-    }
-}
-
-} //namespace armnn
diff --git a/src/backends/reference/workloads/RefFloorWorkload.cpp b/src/backends/reference/workloads/RefFloorWorkload.cpp
new file mode 100644
index 0000000..d96b18b
--- /dev/null
+++ b/src/backends/reference/workloads/RefFloorWorkload.cpp
@@ -0,0 +1,38 @@
+﻿//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RefFloorWorkload.hpp"
+
+#include "Decoders.hpp"
+#include "Encoders.hpp"
+#include "RefWorkloadUtils.hpp"
+#include "Profiling.hpp"
+
+namespace armnn
+{
+
+void RefFloorWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefFloorFloat32Workload_Execute");
+
+    const TensorInfo &inputTensorInfo = GetTensorInfo(m_Data.m_Inputs[0]);
+    std::unique_ptr<Decoder<float>> decoderPtr = MakeDecoder<float>(inputTensorInfo, m_Data.m_Inputs[0]->Map());
+    Decoder<float> &decoder = *decoderPtr;
+
+    const TensorInfo &outputTensorInfo = GetTensorInfo(m_Data.m_Outputs[0]);
+    std::unique_ptr<Encoder<float>> encoderPtr = MakeEncoder<float>(outputTensorInfo, m_Data.m_Outputs[0]->Map());
+    Encoder<float> &encoder = *encoderPtr;
+
+    unsigned int numElements = GetTensorInfo(m_Data.m_Inputs[0]).GetNumElements();
+
+    for (unsigned int i = 0; i < numElements; ++i)
+    {
+        encoder.Set(floorf(decoder.Get()));
+        ++decoder;
+        ++encoder;
+    }
+}
+
+} //namespace armnn
diff --git a/src/backends/reference/workloads/RefFloorFloat32Workload.hpp b/src/backends/reference/workloads/RefFloorWorkload.hpp
similarity index 66%
rename from src/backends/reference/workloads/RefFloorFloat32Workload.hpp
rename to src/backends/reference/workloads/RefFloorWorkload.hpp
index 3f540d0..2dea3a4 100644
--- a/src/backends/reference/workloads/RefFloorFloat32Workload.hpp
+++ b/src/backends/reference/workloads/RefFloorWorkload.hpp
@@ -11,10 +11,10 @@
 namespace armnn
 {
 
-class RefFloorFloat32Workload : public Float32Workload<FloorQueueDescriptor>
+class RefFloorWorkload : public BaseWorkload<FloorQueueDescriptor>
 {
 public:
-    using Float32Workload<FloorQueueDescriptor>::Float32Workload;
+    using BaseWorkload<FloorQueueDescriptor>::BaseWorkload;
     virtual void Execute() const override;
 };
 
diff --git a/src/backends/reference/workloads/RefWorkloads.hpp b/src/backends/reference/workloads/RefWorkloads.hpp
index c20e2f6..c8c26b0 100644
--- a/src/backends/reference/workloads/RefWorkloads.hpp
+++ b/src/backends/reference/workloads/RefWorkloads.hpp
@@ -26,7 +26,7 @@
 #include "RefDepthwiseConvolution2dWorkload.hpp"
 #include "FullyConnected.hpp"
 #include "Gather.hpp"
-#include "RefFloorFloat32Workload.hpp"
+#include "RefFloorWorkload.hpp"
 #include "RefSoftmaxWorkload.hpp"
 #include "RefResizeBilinearFloat32Workload.hpp"
 #include "RefBatchNormalizationUint8Workload.hpp"