diff --git a/tensorflow/lite/tools/benchmark/benchmark_tflite_model.cc b/tensorflow/lite/tools/benchmark/benchmark_tflite_model.cc
index 3d4f8147912..e527796664f 100644
--- a/tensorflow/lite/tools/benchmark/benchmark_tflite_model.cc
+++ b/tensorflow/lite/tools/benchmark/benchmark_tflite_model.cc
@@ -233,6 +233,8 @@ BenchmarkParams BenchmarkTfLiteModel::DefaultParams() {
   default_params.AddParam("use_nnapi", BenchmarkParam::Create<bool>(false));
   default_params.AddParam("use_legacy_nnapi",
                           BenchmarkParam::Create<bool>(false));
+  default_params.AddParam("nnapi_accelerator_name",
+                          BenchmarkParam::Create<std::string>(""));
   default_params.AddParam("use_gpu", BenchmarkParam::Create<bool>(false));
   default_params.AddParam("allow_fp16", BenchmarkParam::Create<bool>(false));
   default_params.AddParam(
@@ -271,6 +273,9 @@ std::vector<Flag> BenchmarkTfLiteModel::GetFlags() {
                               "input layer shape"),
       CreateFlag<bool>("use_nnapi", &params_, "use nnapi delegate api"),
       CreateFlag<bool>("use_legacy_nnapi", &params_, "use legacy nnapi api"),
+      CreateFlag<std::string>(
+          "nnapi_accelerator_name", &params_,
+          "the name of the nnapi accelerator to use (requires Android Q+)"),
       CreateFlag<bool>("use_gpu", &params_, "use gpu"),
       CreateFlag<bool>("allow_fp16", &params_, "allow fp16"),
       CreateFlag<bool>("enable_op_profiling", &params_, "enable op profiling"),
@@ -291,6 +296,10 @@ void BenchmarkTfLiteModel::LogParams() {
   TFLITE_LOG(INFO) << "Use nnapi : [" << params_.Get<bool>("use_nnapi") << "]";
   TFLITE_LOG(INFO) << "Use legacy nnapi : ["
                    << params_.Get<bool>("use_legacy_nnapi") << "]";
+  if (params_.HasParam("nnapi_accelerator_name")) {
+    TFLITE_LOG(INFO) << "nnapi accelerator name: ["
+                     << params_.Get<string>("nnapi_accelerator_name") << "]";
+  }
   TFLITE_LOG(INFO) << "Use gpu : [" << params_.Get<bool>("use_gpu") << "]";
   TFLITE_LOG(INFO) << "Allow fp16 : [" << params_.Get<bool>("allow_fp16")
                    << "]";
@@ -506,12 +515,24 @@ BenchmarkTfLiteModel::TfLiteDelegatePtrMap BenchmarkTfLiteModel::GetDelegates()
     }
   }
   if (params_.Get<bool>("use_nnapi")) {
-    Interpreter::TfLiteDelegatePtr delegate = evaluation::CreateNNAPIDelegate();
+    StatefulNnApiDelegate::Options options;
+    std::string accelerator_name;
+    if (params_.HasParam("nnapi_accelerator_name")) {
+      accelerator_name = params_.Get<std::string>("nnapi_accelerator_name");
+      options.accelerator_name = accelerator_name.c_str();
+    }
+    Interpreter::TfLiteDelegatePtr delegate =
+        evaluation::CreateNNAPIDelegate(options);
     if (!delegate) {
       TFLITE_LOG(WARN) << "NNAPI acceleration is unsupported on this platform.";
     } else {
       delegates.emplace("NNAPI", std::move(delegate));
     }
+  } else if (params_.HasParam("nnapi_accelerator_name")) {
+    TFLITE_LOG(WARN)
+        << "`--use_nnapi=true` must be set for the provided NNAPI accelerator ("
+        << params_.Get<std::string>("nnapi_accelerator_name")
+        << ") to be used.";
   }
   return delegates;
 }
diff --git a/tensorflow/lite/tools/evaluation/utils.cc b/tensorflow/lite/tools/evaluation/utils.cc
index 6c5e5d94e8c..162acbabf7b 100644
--- a/tensorflow/lite/tools/evaluation/utils.cc
+++ b/tensorflow/lite/tools/evaluation/utils.cc
@@ -23,8 +23,6 @@ limitations under the License.
 #include <memory>
 #include <string>
 
-#include "tensorflow/lite/delegates/nnapi/nnapi_delegate.h"
-
 namespace tflite {
 namespace evaluation {
 
@@ -86,6 +84,18 @@ Interpreter::TfLiteDelegatePtr CreateNNAPIDelegate() {
 #endif  // defined(__ANDROID__)
 }
 
+Interpreter::TfLiteDelegatePtr CreateNNAPIDelegate(
+    StatefulNnApiDelegate::Options options) {
+#if defined(__ANDROID__)
+  return Interpreter::TfLiteDelegatePtr(
+      new StatefulNnApiDelegate(options), [](TfLiteDelegate* delegate) {
+        delete reinterpret_cast<StatefulNnApiDelegate*>(delegate);
+      });
+#else
+  return Interpreter::TfLiteDelegatePtr(nullptr, [](TfLiteDelegate*) {});
+#endif  // defined(__ANDROID__)
+}
+
 #if defined(__ANDROID__)
 Interpreter::TfLiteDelegatePtr CreateGPUDelegate(
     tflite::FlatBufferModel* model, TfLiteGpuDelegateOptions* options) {
diff --git a/tensorflow/lite/tools/evaluation/utils.h b/tensorflow/lite/tools/evaluation/utils.h
index b9fb92882fd..877a6493fbb 100644
--- a/tensorflow/lite/tools/evaluation/utils.h
+++ b/tensorflow/lite/tools/evaluation/utils.h
@@ -24,6 +24,7 @@ limitations under the License.
 #endif
 
 #include "tensorflow/lite/context.h"
+#include "tensorflow/lite/delegates/nnapi/nnapi_delegate.h"
 #include "tensorflow/lite/model.h"
 
 namespace tflite {
@@ -38,6 +39,9 @@ TfLiteStatus GetSortedFileNames(const std::string& directory,
 
 Interpreter::TfLiteDelegatePtr CreateNNAPIDelegate();
 
+Interpreter::TfLiteDelegatePtr CreateNNAPIDelegate(
+    StatefulNnApiDelegate::Options options);
+
 Interpreter::TfLiteDelegatePtr CreateGPUDelegate(FlatBufferModel* model);
 #if defined(__ANDROID__)
 Interpreter::TfLiteDelegatePtr CreateGPUDelegate(