diff --git a/tensorflow/lite/java/src/test/java/org/tensorflow/lite/gpu/GpuDelegateTest.java b/tensorflow/lite/java/src/test/java/org/tensorflow/lite/gpu/GpuDelegateTest.java
index b9cbc27052f..1fe4a531624 100644
--- a/tensorflow/lite/java/src/test/java/org/tensorflow/lite/gpu/GpuDelegateTest.java
+++ b/tensorflow/lite/java/src/test/java/org/tensorflow/lite/gpu/GpuDelegateTest.java
@@ -18,6 +18,8 @@ package org.tensorflow.lite.gpu;
 import static com.google.common.truth.Truth.assertThat;
 
 import java.nio.ByteBuffer;
+import java.util.HashMap;
+import java.util.Map;
 import org.junit.Test;
 import org.junit.runner.RunWith;
 import org.junit.runners.JUnit4;
@@ -28,7 +30,7 @@ import org.tensorflow.lite.TestUtils;
 @RunWith(JUnit4.class)
 public final class GpuDelegateTest {
 
-  private static final String MODEL_PATH = "tensorflow/lite/java/src/testdata/add.bin";
+  private static final String MODEL_PATH = "tensorflow/lite/testdata/multi_add.bin";
   private static final ByteBuffer MODEL_BUFFER = TestUtils.getTestFileAsBuffer(MODEL_PATH);
 
   @Test
@@ -43,15 +45,19 @@ public final class GpuDelegateTest {
     Interpreter.Options options = new Interpreter.Options();
     try (GpuDelegate delegate = new GpuDelegate();
         Interpreter interpreter = new Interpreter(MODEL_BUFFER, options.addDelegate(delegate))) {
-      float[] oneD = {1.23f, 6.54f, 7.81f};
-      float[][] twoD = {oneD, oneD, oneD, oneD, oneD, oneD, oneD, oneD};
-      float[][][] threeD = {twoD, twoD, twoD, twoD, twoD, twoD, twoD, twoD};
-      float[][][][] fourD = {threeD, threeD};
-      float[][][][] parsedOutputs = new float[2][8][8][3];
-      interpreter.run(fourD, parsedOutputs);
-      float[] outputOneD = parsedOutputs[0][0][0];
-      float[] expected = {3.69f, 19.62f, 23.43f};
-      assertThat(outputOneD).usingTolerance(0.1f).containsExactly(expected).inOrder();
+      float[] input0 = {1.23f};
+      float[] input1 = {2.43f};
+      Object[] inputs = {input0, input1, input0, input1};
+      float[] parsedOutput0 = new float[1];
+      float[] parsedOutput1 = new float[1];
+      Map<Integer, Object> outputs = new HashMap<>();
+      outputs.put(0, parsedOutput0);
+      outputs.put(1, parsedOutput1);
+      interpreter.runForMultipleInputsOutputs(inputs, outputs);
+      float[] expected0 = {4.89f};
+      float[] expected1 = {6.09f};
+      assertThat(parsedOutput0).usingTolerance(0.1f).containsExactly(expected0).inOrder();
+      assertThat(parsedOutput1).usingTolerance(0.1f).containsExactly(expected1).inOrder();
     }
   }
 }