diff --git a/modules/cudaarithm/test/test_event.cpp b/modules/cudaarithm/test/test_event.cpp
new file mode 100644
index 000000000..375c51d0d
--- /dev/null
+++ b/modules/cudaarithm/test/test_event.cpp
@@ -0,0 +1,104 @@
+// This file is part of OpenCV project.
+// It is subject to the license terms in the LICENSE file found in the top-level directory
+// of this distribution and at http://opencv.org/license.html.
+
+#include "test_precomp.hpp"
+
+#ifdef HAVE_CUDA
+
+#include <cuda_runtime.h>
+
+#include "opencv2/core/cuda.hpp"
+#include "opencv2/core/cuda_stream_accessor.hpp"
+#include "opencv2/ts/cuda_test.hpp"
+
+namespace opencv_test { namespace {
+
+struct AsyncEvent : testing::TestWithParam<cv::cuda::DeviceInfo>
+{
+    cv::cuda::HostMem src;
+    cv::cuda::GpuMat d_src;
+
+    cv::cuda::HostMem dst;
+    cv::cuda::GpuMat d_dst;
+
+    cv::cuda::Stream stream;
+
+    virtual void SetUp()
+    {
+        cv::cuda::DeviceInfo devInfo = GetParam();
+        cv::cuda::setDevice(devInfo.deviceID());
+
+        src = cv::cuda::HostMem(cv::cuda::HostMem::PAGE_LOCKED);
+
+        cv::Mat m = randomMat(cv::Size(128, 128), CV_8UC1);
+        m.copyTo(src);
+    }
+};
+
+void deviceWork(void* userData)
+{
+    AsyncEvent* test = reinterpret_cast<AsyncEvent*>(userData);
+    test->d_src.upload(test->src, test->stream);
+    test->d_src.convertTo(test->d_dst, CV_32S, test->stream);
+    test->d_dst.download(test->dst, test->stream);
+}
+
+CUDA_TEST_P(AsyncEvent, WrapEvent)
+{
+    cudaEvent_t cuda_event = NULL;
+    ASSERT_EQ(cudaSuccess, cudaEventCreate(&cuda_event));
+    {
+        cv::cuda::Event cudaEvent = cv::cuda::EventAccessor::wrapEvent(cuda_event);
+        deviceWork(this);
+        cudaEvent.record(stream);
+        cudaEvent.waitForCompletion();
+        cv::Mat dst_gold;
+        src.createMatHeader().convertTo(dst_gold, CV_32S);
+        ASSERT_MAT_NEAR(dst_gold, dst, 0);
+    }
+    ASSERT_EQ(cudaSuccess, cudaEventDestroy(cuda_event));
+}
+
+CUDA_TEST_P(AsyncEvent, WithFlags)
+{
+    cv::cuda::Event cudaEvent = cv::cuda::Event(cv::cuda::Event::CreateFlags::BLOCKING_SYNC);
+    deviceWork(this);
+    cudaEvent.record(stream);
+    cudaEvent.waitForCompletion();
+    cv::Mat dst_gold;
+    src.createMatHeader().convertTo(dst_gold, CV_32S);
+    ASSERT_MAT_NEAR(dst_gold, dst, 0);
+}
+
+CUDA_TEST_P(AsyncEvent, Timing)
+{
+    const std::vector<cv::cuda::Event::CreateFlags> eventFlags = { cv::cuda::Event::CreateFlags::BLOCKING_SYNC , cv::cuda::Event::CreateFlags::BLOCKING_SYNC | Event::CreateFlags::DISABLE_TIMING };
+    const std::vector<bool> shouldFail = { false, true };
+    for (size_t i = 0; i < eventFlags.size(); i++) {
+        const auto& flags = eventFlags.at(i);
+        cv::cuda::Event startEvent = cv::cuda::Event(flags);
+        cv::cuda::Event stopEvent = cv::cuda::Event(flags);
+        startEvent.record(stream);
+        deviceWork(this);
+        stopEvent.record(stream);
+        stopEvent.waitForCompletion();
+        cv::Mat dst_gold;
+        src.createMatHeader().convertTo(dst_gold, CV_32S);
+        ASSERT_MAT_NEAR(dst_gold, dst, 0);
+        bool failed = false;
+        try {
+            const double elTimeMs = Event::elapsedTime(startEvent, stopEvent);
+            ASSERT_GT(elTimeMs, 0);
+        }
+        catch (cv::Exception ex) {
+            failed = true;
+        }
+        ASSERT_EQ(failed, shouldFail.at(i));
+    }
+}
+
+INSTANTIATE_TEST_CASE_P(CUDA_Event, AsyncEvent, ALL_DEVICES);
+
+}} // namespace
+#endif // HAVE_CUDA