diff --git a/onnxruntime/test/perftest/ort_test_session.cc b/onnxruntime/test/perftest/ort_test_session.cc
index d2d9c1f148983..6720f895728b7 100644
--- a/onnxruntime/test/perftest/ort_test_session.cc
+++ b/onnxruntime/test/perftest/ort_test_session.cc
@@ -21,11 +21,6 @@
 #include "core/providers/dml/dml_session_options_config_keys.h"
 #endif
 
-#ifdef USE_TENSORRT
-#include <vector>
-#include "core/session/onnxruntime_c_api_ep.h"
-#endif
-
 #ifdef _WIN32
 #define strdup _strdup
 #endif
@@ -34,21 +29,6 @@ extern const OrtApi* g_ort;
 namespace onnxruntime {
 namespace perftest {
 
-inline void THROW_ON_ERROR(OrtStatus* status) {
-  if (status != nullptr) {
-    std::cout << "ErrorMessage:" << g_ort->GetErrorMessage(status) << "\n";
-    abort();
-  }
-}
-
-void TestTensorRTEp(const OrtApi* g_ort, OrtEnv* env, OrtSessionOptions* so, int device_id) {
-  THROW_ON_ERROR(g_ort->RegisterOrtExecutionProviderLibrary("/home/yifanl/onnxruntime/samples/tensorRTEp/build/libTensorRTEp.so", env, "tensorrtEp"));
-  std::vector<const char*> keys{"device_id", "str_property"};
-  std::string device_id_str = std::to_string(device_id);
-  std::vector<const char*> values{device_id_str.c_str(), "strvalue"};
-  THROW_ON_ERROR(g_ort->SessionOptionsAppendOrtExecutionProvider(so, "tensorrtEp", env, keys.data(), values.data(), keys.size()));
-}
-
 std::chrono::duration<double> OnnxRuntimeTestSession::Run() {
   // Randomly pick one OrtValueArray from test_inputs_. (NOT ThreadSafe)
   const std::uniform_int_distribution<int>::param_type p(0, static_cast<int>(test_inputs_.size() - 1));
@@ -189,7 +169,50 @@ OnnxRuntimeTestSession::OnnxRuntimeTestSession(Ort::Env& env, std::random_device
 #endif
   } else if (provider_name_ == onnxruntime::kTensorrtExecutionProvider) {
 #ifdef USE_TENSORRT
-    TestTensorRTEp(g_ort, env, session_options, 0);
+    const auto& api = Ort::GetApi();
+    OrtTensorRTProviderOptionsV2* tensorrt_options;
+    Ort::ThrowOnError(api.CreateTensorRTProviderOptions(&tensorrt_options));
+    std::unique_ptr<OrtTensorRTProviderOptionsV2, decltype(api.ReleaseTensorRTProviderOptions)> rel_trt_options(
+        tensorrt_options, api.ReleaseTensorRTProviderOptions);
+    std::vector<const char*> option_keys, option_values;
+    // used to keep all option keys and value strings alive
+    std::list<std::string> buffer;
+
+#ifdef _MSC_VER
+    std::string ov_string = ToUTF8String(performance_test_config.run_config.ep_runtime_config_string);
+#else
+    std::string ov_string = performance_test_config.run_config.ep_runtime_config_string;
+#endif
+    std::istringstream ss(ov_string);
+    std::string token;
+    while (ss >> token) {
+      if (token == "") {
+        continue;
+      }
+      auto pos = token.find("|");
+      if (pos == std::string::npos || pos == 0 || pos == token.length()) {
+        ORT_THROW(
+            "[ERROR] [TensorRT] Use a '|' to separate the key and value for the run-time option you are trying to use.\n");
+      }
+
+      buffer.emplace_back(token.substr(0, pos));
+      option_keys.push_back(buffer.back().c_str());
+      buffer.emplace_back(token.substr(pos + 1));
+      option_values.push_back(buffer.back().c_str());
+    }
+
+    Ort::Status status(api.UpdateTensorRTProviderOptions(tensorrt_options,
+                                                         option_keys.data(), option_values.data(), option_keys.size()));
+    if (!status.IsOK()) {
+      OrtAllocator* allocator;
+      char* options;
+      Ort::ThrowOnError(api.GetAllocatorWithDefaultOptions(&allocator));
+      Ort::ThrowOnError(api.GetTensorRTProviderOptionsAsString(tensorrt_options, allocator, &options));
+      ORT_THROW("[ERROR] [TensorRT] Configuring the CUDA options failed with message: ", status.GetErrorMessage(),
+                "\nSupported options are:\n", options);
+    }
+
+    session_options.AppendExecutionProvider_TensorRT_V2(*tensorrt_options);
 
     OrtCUDAProviderOptions cuda_options;
     cuda_options.device_id = tensorrt_options->device_id;
@@ -923,3 +946,4 @@ bool OnnxRuntimeTestSession::PopulateGeneratedInputTestData(int32_t seed) {
 
 }  // namespace perftest
 }  // namespace onnxruntime
+arrow
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