diff --git a/src/plugins/intel_gpu/src/kernel_selector/cl_kernels/convolution_gpu_bfyx_f16_1x1.cl b/src/plugins/intel_gpu/src/kernel_selector/cl_kernels/convolution_gpu_bfyx_f16_1x1.cl
index 542fa69ebc241b..109fa2de9841aa 100644
--- a/src/plugins/intel_gpu/src/kernel_selector/cl_kernels/convolution_gpu_bfyx_f16_1x1.cl
+++ b/src/plugins/intel_gpu/src/kernel_selector/cl_kernels/convolution_gpu_bfyx_f16_1x1.cl
@@ -122,8 +122,8 @@ KERNEL(convolution_b_fs_yx_fsv16_1x1)(
     {
 #endif // SLM_DIV_FACTOR > 1
         vec_t src = 0;
-#if INPUT_LEFTOVERS
-        if ((k + 1) * FEATURE_SLICE_SIZE >= INPUT0_FEATURE_NUM)
+
+        if (INPUT_LEFTOVERS && ((k + 1) * FEATURE_SLICE_SIZE >= INPUT0_FEATURE_NUM))
         {
             if (k * FEATURE_SLICE_SIZE + sglid < INPUT0_FEATURE_NUM)
             {
@@ -143,7 +143,6 @@ KERNEL(convolution_b_fs_yx_fsv16_1x1)(
             }
         }
         else
-#endif // INPUT_LEFTOVERS
         {
 #if PADDED_INPUT
 #if X_BLOCK_SIZE > 1
diff --git a/src/plugins/intel_gpu/src/kernel_selector/kernels/convolution/convolution_kernel_b_fs_yx_fsv16_1x1.cpp b/src/plugins/intel_gpu/src/kernel_selector/kernels/convolution/convolution_kernel_b_fs_yx_fsv16_1x1.cpp
index 6fd074f8d8506d..7150d51ecf1e48 100644
--- a/src/plugins/intel_gpu/src/kernel_selector/kernels/convolution/convolution_kernel_b_fs_yx_fsv16_1x1.cpp
+++ b/src/plugins/intel_gpu/src/kernel_selector/kernels/convolution/convolution_kernel_b_fs_yx_fsv16_1x1.cpp
@@ -264,6 +264,8 @@ JitConstants ConvolutionKernel_b_fs_yx_fsv16_1x1::GetJitConstants(const convolut
         }
         if (params.inputs[0].Feature().v % tuning_data.feature_block_size != 0) {
             jit.AddConstant(MakeJitConstant("INPUT_LEFTOVERS", 1));
+        } else {
+            jit.AddConstant(MakeJitConstant("INPUT_LEFTOVERS", 0));
         }
     } else {
         DimensionAccessHelperJit input0_dims(params.inputs[0]);
diff --git a/src/plugins/intel_gpu/tests/unit/test_cases/convolution_gpu_test.cpp b/src/plugins/intel_gpu/tests/unit/test_cases/convolution_gpu_test.cpp
index f0243f055c3670..13934020bfdf66 100644
--- a/src/plugins/intel_gpu/tests/unit/test_cases/convolution_gpu_test.cpp
+++ b/src/plugins/intel_gpu/tests/unit/test_cases/convolution_gpu_test.cpp
@@ -10820,7 +10820,14 @@ TEST_P(conv_dyn_test, convolution_gpu_fsv16_1x1_no_bias) {
         return outputs_ref.at("conv").get_memory();
     };
 
-    auto in_layout = layout{ov::PartialShape{ov::Dimension(), ov::Dimension(p.in_shape[1]), ov::Dimension(), ov::Dimension()}, data_types::f16, format::b_fs_yx_fsv16};
+    cldnn::layout in_layout;
+    if (p.in_shape[2] % 2 == 0) {
+        // input feature is static
+        in_layout = layout{ov::PartialShape{ov::Dimension(), ov::Dimension(p.in_shape[1]), ov::Dimension(), ov::Dimension()}, data_types::f16, format::b_fs_yx_fsv16};
+    } else {
+        // input feature is dynamic
+        in_layout = layout{ov::PartialShape{ov::Dimension(), ov::Dimension(), ov::Dimension(), ov::Dimension()}, data_types::f16, format::b_fs_yx_fsv16};
+    }
     auto input = engine.allocate_memory({ p.in_shape, data_types::f16, format::b_fs_yx_fsv16 });
     auto weights = engine.allocate_memory({p.wei_shape, data_types::f16, is_grouped ? format::bfzyx : format::bfyx});