diff --git a/src/tim/vx/ops/resize_bilinear_test.cc b/src/tim/vx/ops/resize_bilinear_test.cc
new file mode 100644
index 0000000..8d73097
--- /dev/null
+++ b/src/tim/vx/ops/resize_bilinear_test.cc
@@ -0,0 +1,70 @@
+/****************************************************************************
+*
+*    Copyright (c) 2020-2023 Vivante Corporation
+*
+*    Permission is hereby granted, free of charge, to any person obtaining a
+*    copy of this software and associated documentation files (the "Software"),
+*    to deal in the Software without restriction, including without limitation
+*    the rights to use, copy, modify, merge, publish, distribute, sublicense,
+*    and/or sell copies of the Software, and to permit persons to whom the
+*    Software is furnished to do so, subject to the following conditions:
+*
+*    The above copyright notice and this permission notice shall be included in
+*    all copies or substantial portions of the Software.
+*
+*    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+*    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+*    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+*    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+*    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+*    FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+*    DEALINGS IN THE SOFTWARE.
+*
+*****************************************************************************/
+#include "tim/vx/context.h"
+#include "tim/vx/graph.h"
+#include "tim/vx/ops/resize.h"
+#include "test_utils.h"
+#include "gtest/gtest.h"
+
+TEST(ResizeBilinear, align_corners) {
+    auto ctx = tim::vx::Context::Create();
+    auto graph = ctx->CreateGraph();
+
+    tim::vx::ShapeType input_shape({3, 3, 1, 1});
+    tim::vx::ShapeType output_shape({2, 2, 1, 1});
+
+    std::vector<float> scales_input = {0.5f};
+    std::vector<int32_t> zero_point_input = {128};
+    std::vector<float> scales_output = {0.5f};
+    std::vector<int32_t> zero_point_output = {128};
+
+    tim::vx::Quantization quant_in(tim::vx::QuantType::ASYMMETRIC, 0,
+                                   scales_input, zero_point_input);
+    tim::vx::Quantization quant_out(tim::vx::QuantType::ASYMMETRIC, 0,
+                                    scales_output, zero_point_output);
+    tim::vx::TensorSpec input_spec(tim::vx::DataType::UINT8, input_shape,
+                                   tim::vx::TensorAttribute::INPUT, quant_in);
+    tim::vx::TensorSpec output_spec(tim::vx::DataType::UINT8, output_shape,
+                                    tim::vx::TensorAttribute::OUTPUT, quant_out);
+
+    auto input_tensor = graph->CreateTensor(input_spec);
+    auto output_tensor = graph->CreateTensor(output_spec);
+
+    std::vector<uint8_t> in_data = {130, 132, 134, 136, 138,
+                                    140, 142, 144, 146};
+    std::vector<uint8_t> golden = {130, 134, 142, 146};
+
+    EXPECT_TRUE(input_tensor->CopyDataToTensor(in_data.data(), in_data.size()));
+
+    auto op = graph->CreateOperation<tim::vx::ops::Resize>(
+        tim::vx::ResizeType::BILINEAR, 0, true, false, 2, 2);
+    (*op).BindInputs({input_tensor}).BindOutputs({output_tensor});
+
+    EXPECT_TRUE(graph->Compile());
+    EXPECT_TRUE(graph->Run());
+
+    std::vector<uint8_t> output(golden.size());
+    EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
+    EXPECT_EQ(golden, output);
+}