diff --git a/mediapipe/calculators/tensor/BUILD b/mediapipe/calculators/tensor/BUILD
index a966dd3fc..8246228b5 100644
--- a/mediapipe/calculators/tensor/BUILD
+++ b/mediapipe/calculators/tensor/BUILD
@@ -530,6 +530,7 @@ cc_library(
     }),
     visibility = ["//visibility:public"],
     deps = [
+        "//mediapipe/framework:calculator_context",
         "//mediapipe/framework/formats:tensor",
         "@com_google_absl//absl/status:statusor",
     ],
@@ -550,6 +551,7 @@ cc_library(
     visibility = ["//visibility:public"],
     deps = [
         ":inference_runner",
+        "//mediapipe/framework:mediapipe_profiling",
         "//mediapipe/framework/api2:packet",
         "//mediapipe/framework/formats:tensor",
         "//mediapipe/framework/port:ret_check",
diff --git a/mediapipe/calculators/tensor/inference_calculator_cpu.cc b/mediapipe/calculators/tensor/inference_calculator_cpu.cc
index 2e90c7cc9..79df97638 100644
--- a/mediapipe/calculators/tensor/inference_calculator_cpu.cc
+++ b/mediapipe/calculators/tensor/inference_calculator_cpu.cc
@@ -72,7 +72,7 @@ absl::Status InferenceCalculatorCpuImpl::Process(CalculatorContext* cc) {
   RET_CHECK(!input_tensors.empty());
 
   ASSIGN_OR_RETURN(std::vector<Tensor> output_tensors,
-                   inference_runner_->Run(input_tensors));
+                   inference_runner_->Run(cc, input_tensors));
   kOutTensors(cc).Send(std::move(output_tensors));
   return absl::OkStatus();
 }
diff --git a/mediapipe/calculators/tensor/inference_calculator_xnnpack.cc b/mediapipe/calculators/tensor/inference_calculator_xnnpack.cc
index 384c753ff..a9417d508 100644
--- a/mediapipe/calculators/tensor/inference_calculator_xnnpack.cc
+++ b/mediapipe/calculators/tensor/inference_calculator_xnnpack.cc
@@ -70,7 +70,7 @@ absl::Status InferenceCalculatorXnnpackImpl::Process(CalculatorContext* cc) {
   RET_CHECK(!input_tensors.empty());
 
   ASSIGN_OR_RETURN(std::vector<Tensor> output_tensors,
-                   inference_runner_->Run(input_tensors));
+                   inference_runner_->Run(cc, input_tensors));
   kOutTensors(cc).Send(std::move(output_tensors));
   return absl::OkStatus();
 }
diff --git a/mediapipe/calculators/tensor/inference_interpreter_delegate_runner.cc b/mediapipe/calculators/tensor/inference_interpreter_delegate_runner.cc
index 1d216daf3..9ef4e822c 100644
--- a/mediapipe/calculators/tensor/inference_interpreter_delegate_runner.cc
+++ b/mediapipe/calculators/tensor/inference_interpreter_delegate_runner.cc
@@ -20,12 +20,15 @@
 #include "absl/status/status.h"
 #include "absl/status/statusor.h"
 #include "mediapipe/framework/formats/tensor.h"
+#include "mediapipe/framework/mediapipe_profiling.h"
 #include "mediapipe/framework/port/ret_check.h"
 #include "tensorflow/lite/c/c_api_types.h"
 #include "tensorflow/lite/interpreter.h"
 #include "tensorflow/lite/interpreter_builder.h"
 #include "tensorflow/lite/string_util.h"
 
+#define PERFETTO_TRACK_EVENT_NAMESPACE mediapipe
+
 namespace mediapipe {
 
 namespace {
@@ -79,7 +82,7 @@ class InferenceInterpreterDelegateRunner : public InferenceRunner {
         delegate_(std::move(delegate)) {}
 
   absl::StatusOr<std::vector<Tensor>> Run(
-      const std::vector<Tensor>& input_tensors) override;
+      CalculatorContext* cc, const std::vector<Tensor>& input_tensors) override;
 
  private:
   api2::Packet<TfLiteModelPtr> model_;
@@ -88,7 +91,7 @@ class InferenceInterpreterDelegateRunner : public InferenceRunner {
 };
 
 absl::StatusOr<std::vector<Tensor>> InferenceInterpreterDelegateRunner::Run(
-    const std::vector<Tensor>& input_tensors) {
+    CalculatorContext* cc, const std::vector<Tensor>& input_tensors) {
   // Read CPU input into tensors.
   RET_CHECK_EQ(interpreter_->inputs().size(), input_tensors.size());
   for (int i = 0; i < input_tensors.size(); ++i) {
@@ -131,8 +134,10 @@ absl::StatusOr<std::vector<Tensor>> InferenceInterpreterDelegateRunner::Run(
   }
 
   // Run inference.
-  RET_CHECK_EQ(interpreter_->Invoke(), kTfLiteOk);
-
+  {
+    MEDIAPIPE_PROFILING(CPU_TASK_INVOKE, cc);
+    RET_CHECK_EQ(interpreter_->Invoke(), kTfLiteOk);
+  }
   // Output result tensors (CPU).
   const auto& tensor_indexes = interpreter_->outputs();
   std::vector<Tensor> output_tensors;
diff --git a/mediapipe/calculators/tensor/inference_runner.h b/mediapipe/calculators/tensor/inference_runner.h
index ec9d17b8b..2283a6c19 100644
--- a/mediapipe/calculators/tensor/inference_runner.h
+++ b/mediapipe/calculators/tensor/inference_runner.h
@@ -2,6 +2,7 @@
 #define MEDIAPIPE_CALCULATORS_TENSOR_INFERENCE_RUNNER_H_
 
 #include "absl/status/statusor.h"
+#include "mediapipe/framework/calculator_context.h"
 #include "mediapipe/framework/formats/tensor.h"
 
 namespace mediapipe {
@@ -11,7 +12,7 @@ class InferenceRunner {
  public:
   virtual ~InferenceRunner() = default;
   virtual absl::StatusOr<std::vector<Tensor>> Run(
-      const std::vector<Tensor>& inputs) = 0;
+      CalculatorContext* cc, const std::vector<Tensor>& inputs) = 0;
 };
 
 }  // namespace mediapipe
diff --git a/mediapipe/framework/calculator_profile.proto b/mediapipe/framework/calculator_profile.proto
index 1512da6af..082d0a869 100644
--- a/mediapipe/framework/calculator_profile.proto
+++ b/mediapipe/framework/calculator_profile.proto
@@ -135,6 +135,7 @@ message GraphTrace {
     PACKET_QUEUED = 15;
     GPU_TASK_INVOKE = 16;
     TPU_TASK_INVOKE = 17;
+    CPU_TASK_INVOKE = 18;
   }
   //  //depot/mediapipe/framework/mediapipe_profiling.h:profiler_census_tags,
   //  //depot/mediapipe/framework/profiler/trace_buffer.h:event_type_list,
diff --git a/mediapipe/framework/profiler/trace_buffer.h b/mediapipe/framework/profiler/trace_buffer.h
index 60352c705..9ad4314fd 100644
--- a/mediapipe/framework/profiler/trace_buffer.h
+++ b/mediapipe/framework/profiler/trace_buffer.h
@@ -111,6 +111,8 @@ struct TraceEvent {
   static constexpr EventType PACKET_QUEUED = GraphTrace::PACKET_QUEUED;
   static constexpr EventType GPU_TASK_INVOKE = GraphTrace::GPU_TASK_INVOKE;
   static constexpr EventType TPU_TASK_INVOKE = GraphTrace::TPU_TASK_INVOKE;
+  static constexpr EventType CPU_TASK_INVOKE = GraphTrace::CPU_TASK_INVOKE;
+
   //  //depot/mediapipe/framework/mediapipe_profiling.h:profiler_census_tags,
   //  //depot/mediapipe/framework/calculator_profile.proto:event_type,
   // )