diff --git a/examples/server/tests/unit/test_embedding.py b/examples/server/tests/unit/test_embedding.py
index 98bec2c2f453f..8b0eb42b0926f 100644
--- a/examples/server/tests/unit/test_embedding.py
+++ b/examples/server/tests/unit/test_embedding.py
@@ -202,6 +202,14 @@ def test_embedding_openai_library_base64():
     server.start()
     test_input = "Test base64 embedding output"
 
+    # get embedding in default format
+    res = server.make_request("POST", "/v1/embeddings", data={
+        "input": test_input
+    })
+    assert res.status_code == 200
+    vec0 = res.body["data"][0]["embedding"]
+
+    # get embedding in base64 format
     res = server.make_request("POST", "/v1/embeddings", data={
         "input": test_input,
         "encoding_format": "base64"
@@ -216,12 +224,14 @@ def test_embedding_openai_library_base64():
     assert isinstance(embedding_data["embedding"], str)
 
     # Verify embedding is valid base64
-    try:
-        decoded = base64.b64decode(embedding_data["embedding"])
-        # Verify decoded data can be converted back to float array
-        float_count = len(decoded) // 4  # 4 bytes per float
-        floats = struct.unpack(f'{float_count}f', decoded)
-        assert len(floats) > 0
-        assert all(isinstance(x, float) for x in floats)
-    except Exception as e:
-        pytest.fail(f"Invalid base64 format: {str(e)}")
+    decoded = base64.b64decode(embedding_data["embedding"])
+    # Verify decoded data can be converted back to float array
+    float_count = len(decoded) // 4  # 4 bytes per float
+    floats = struct.unpack(f'{float_count}f', decoded)
+    assert len(floats) > 0
+    assert all(isinstance(x, float) for x in floats)
+    assert len(floats) == len(vec0)
+
+    # make sure the decoded data is the same as the original
+    for x, y in zip(floats, vec0):
+        assert abs(x - y) < EPSILON