diff --git a/modules/gapi/samples/pipeline_modeling_tool/dummy_source.hpp b/modules/gapi/samples/pipeline_modeling_tool/dummy_source.hpp
index e807aa206f..1514eb2671 100644
--- a/modules/gapi/samples/pipeline_modeling_tool/dummy_source.hpp
+++ b/modules/gapi/samples/pipeline_modeling_tool/dummy_source.hpp
@@ -28,11 +28,8 @@ private:
 
 DummySource::DummySource(const double       latency,
                          const OutputDescr& output)
-    : m_latency(latency), m_mat(output.dims, output.precision) {
-    if (output.dims.size() == 1) {
-        //FIXME: Well-known 1D mat WA
-        m_mat.dims = 1;
-    }
+    : m_latency(latency) {
+    utils::createNDMat(m_mat, output.dims, output.precision);
     utils::generateRandom(m_mat);
 }
 
diff --git a/modules/gapi/samples/pipeline_modeling_tool/pipeline_builder.hpp b/modules/gapi/samples/pipeline_modeling_tool/pipeline_builder.hpp
index c62322e244..63ada28603 100644
--- a/modules/gapi/samples/pipeline_modeling_tool/pipeline_builder.hpp
+++ b/modules/gapi/samples/pipeline_modeling_tool/pipeline_builder.hpp
@@ -73,7 +73,7 @@ struct DummyCall {
                               std::shared_ptr<DummyState>& state,
                               const cv::GCompileArgs&      /*args*/) {
             state.reset(new DummyState{});
-            state->mat.create(output.dims, output.precision);
+            utils::createNDMat(state->mat, output.dims, output.precision);
             utils::generateRandom(state->mat);
         }
 
diff --git a/modules/gapi/samples/pipeline_modeling_tool/utils.hpp b/modules/gapi/samples/pipeline_modeling_tool/utils.hpp
index df5061b2fa..c110bf3b47 100644
--- a/modules/gapi/samples/pipeline_modeling_tool/utils.hpp
+++ b/modules/gapi/samples/pipeline_modeling_tool/utils.hpp
@@ -14,6 +14,16 @@ struct OutputDescr {
 };
 
 namespace utils {
+
+inline void createNDMat(cv::Mat& mat, const std::vector<int>& dims, int depth) {
+    GAPI_Assert(!dims.empty());
+    mat.create(dims, depth);
+    if (dims.size() == 1) {
+        //FIXME: Well-known 1D mat WA
+        mat.dims = 1;
+    }
+}
+
 inline void generateRandom(cv::Mat& out) {
     switch (out.depth()) {
         case CV_8U:
@@ -23,7 +33,12 @@ inline void generateRandom(cv::Mat& out) {
             cv::randu(out, 0.f, 1.f);
             break;
         case CV_16F: {
-            cv::Mat fp32_mat(out.size(), CV_MAKETYPE(CV_32F, out.channels()));
+            std::vector<int> dims;
+            for (int i = 0; i < out.size.dims(); ++i) {
+                dims.push_back(out.size[i]);
+            }
+            cv::Mat fp32_mat;
+            createNDMat(fp32_mat, dims, CV_32F);
             cv::randu(fp32_mat, 0.f, 1.f);
             fp32_mat.convertTo(out, out.type());
             break;
diff --git a/modules/gapi/src/backends/ie/giebackend.cpp b/modules/gapi/src/backends/ie/giebackend.cpp
index 02b07e8566..39ba9a4041 100644
--- a/modules/gapi/src/backends/ie/giebackend.cpp
+++ b/modules/gapi/src/backends/ie/giebackend.cpp
@@ -855,6 +855,13 @@ static void configureInputInfo(const IE::InputInfo::Ptr& ii, const cv::GMetaArg
     }
 }
 
+static bool isApplicableForResize(const IE::TensorDesc& desc) {
+    const auto layout = desc.getLayout();
+    const auto prec   = desc.getPrecision();
+    return (layout == IE::Layout::NCHW || layout == IE::Layout::NHWC) &&
+           (prec == IE::Precision::FP32 || prec == IE::Precision::U8);
+}
+
 static IE::PreProcessInfo configurePreProcInfo(const IE::InputInfo::CPtr& ii,
                                                const cv::GMetaArg&        mm) {
     IE::PreProcessInfo info;
@@ -864,9 +871,7 @@ static IE::PreProcessInfo configurePreProcInfo(const IE::InputInfo::CPtr& ii,
             info.setColorFormat(IE::ColorFormat::NV12);
         }
     }
-    const auto layout = ii->getTensorDesc().getLayout();
-    if (layout == IE::Layout::NCHW ||
-        layout == IE::Layout::NHWC) {
+    if (isApplicableForResize(ii->getTensorDesc())) {
         info.setResizeAlgorithm(IE::RESIZE_BILINEAR);
     }
     return info;
@@ -986,11 +991,7 @@ struct Infer: public cv::detail::KernelTag {
                         configureInputReshapeByImage(ii, mm, input_reshape_table);
                     }
 
-                    // NB: Configure resize only for NCHW/NHWC layout,
-                    // since it isn't supposed to work with others.
-                    auto layout = ii->getTensorDesc().getLayout();
-                    if (layout == IE::Layout::NCHW ||
-                        layout == IE::Layout::NHWC) {
+                    if (isApplicableForResize(ii->getTensorDesc())) {
                         ii->getPreProcess().setResizeAlgorithm(IE::RESIZE_BILINEAR);
                     }
             }
@@ -1095,7 +1096,9 @@ struct InferROI: public cv::detail::KernelTag {
                 uu.params.layer_names_to_reshape.end()) {
                 configureInputReshapeByImage(ii, mm, input_reshape_table);
             }
-            ii->getPreProcess().setResizeAlgorithm(IE::RESIZE_BILINEAR);
+            if (isApplicableForResize(ii->getTensorDesc())) {
+                ii->getPreProcess().setResizeAlgorithm(IE::RESIZE_BILINEAR);
+            }
 
             // FIXME: This isn't the best place to call reshape function.
             // Сorrect solution would be to do this in compile() method of network,
@@ -1193,7 +1196,9 @@ struct InferList: public cv::detail::KernelTag {
                     uu.params.layer_names_to_reshape.end()) {
                     configureInputReshapeByImage(ii, mm, input_reshape_table);
                 }
-                ii->getPreProcess().setResizeAlgorithm(IE::RESIZE_BILINEAR);
+                if (isApplicableForResize(ii->getTensorDesc())) {
+                    ii->getPreProcess().setResizeAlgorithm(IE::RESIZE_BILINEAR);
+                }
             }
 
             // FIXME: This isn't the best place to call reshape function.
@@ -1346,7 +1351,9 @@ struct InferList2: public cv::detail::KernelTag {
                         uu.params.layer_names_to_reshape.end()) {
                         configureInputReshapeByImage(ii, mm_0, input_reshape_table);
                     }
-                    ii->getPreProcess().setResizeAlgorithm(IE::RESIZE_BILINEAR);
+                    if (isApplicableForResize(ii->getTensorDesc())) {
+                        ii->getPreProcess().setResizeAlgorithm(IE::RESIZE_BILINEAR);
+                    }
 
                     // FIXME: This isn't the best place to call reshape function.
                     // Сorrect solution would be to do this in compile() method of network,