diff --git a/java/build.gradle b/java/build.gradle
index e4e8ac86fe..78a643aeed 100644
--- a/java/build.gradle
+++ b/java/build.gradle
@@ -181,7 +181,7 @@ test {
 	if (cmakeBuildDir != null) {
 		workingDir cmakeBuildDir
 	}
-	systemProperties System.getProperties().subMap(['USE_CUDA', 'USE_ROCM', 'USE_TENSORRT', 'USE_DNNL', 'USE_OPENVINO', 'JAVA_FULL_TEST', 'ENABLE_TRAINING_APIS'])
+	systemProperties System.getProperties().subMap(['USE_CUDA', 'USE_ROCM', 'USE_TENSORRT', 'USE_DNNL', 'USE_OPENVINO', 'USE_COREML', 'JAVA_FULL_TEST', 'ENABLE_TRAINING_APIS'])
 	testLogging {
 		events "passed", "skipped", "failed"
 		showStandardStreams = true
diff --git a/java/src/main/native/ai_onnxruntime_OrtSession_SessionOptions.c b/java/src/main/native/ai_onnxruntime_OrtSession_SessionOptions.c
index 330ed3fa3c..c805e00dc4 100644
--- a/java/src/main/native/ai_onnxruntime_OrtSession_SessionOptions.c
+++ b/java/src/main/native/ai_onnxruntime_OrtSession_SessionOptions.c
@@ -600,7 +600,7 @@ JNIEXPORT void JNICALL Java_ai_onnxruntime_OrtSession_00024SessionOptions_addArm
 JNIEXPORT void JNICALL Java_ai_onnxruntime_OrtSession_00024SessionOptions_addCoreML
   (JNIEnv * jniEnv, jobject jobj, jlong apiHandle, jlong handle, jint coreMLFlags) {
     (void)jobj;
-  #ifdef USE_CORE_ML
+  #ifdef USE_COREML
     checkOrtStatus(jniEnv,(const OrtApi*)apiHandle,OrtSessionOptionsAppendExecutionProvider_CoreML((OrtSessionOptions*) handle, (uint32_t) coreMLFlags));
   #else
     (void)apiHandle;(void)handle;(void)coreMLFlags; // Parameters used when CoreML is defined.
diff --git a/java/src/test/java/ai/onnxruntime/InferenceTest.java b/java/src/test/java/ai/onnxruntime/InferenceTest.java
index 36ae3cc356..76ac083049 100644
--- a/java/src/test/java/ai/onnxruntime/InferenceTest.java
+++ b/java/src/test/java/ai/onnxruntime/InferenceTest.java
@@ -632,6 +632,12 @@ public class InferenceTest {
     runProvider(OrtProvider.XNNPACK);
   }
 
+  @Test
+  @EnabledIfSystemProperty(named = "USE_COREML", matches = "1")
+  public void testCoreML() throws OrtException {
+    runProvider(OrtProvider.CORE_ML);
+  }
+
   private void runProvider(OrtProvider provider) throws OrtException {
     EnumSet<OrtProvider> providers = OrtEnvironment.getAvailableProviders();
     assertTrue(providers.size() > 1);