diff --git a/demo/demo/demo3D.cpp b/demo/demo/demo3D.cpp
index 609a21a..4286faa 100644
--- a/demo/demo/demo3D.cpp
+++ b/demo/demo/demo3D.cpp
@@ -105,11 +105,24 @@ int main(int argc, char *argv[]) {
     std::cout<<"detection end\n";   
     double mean = 0; 
     
+    std::cout<<COL_GREENB<<"\n\nTime preprocessing stats:\n";
+    std::cout<<"Min: "<<*std::min_element(detNN->pre_stats.begin(), detNN->pre_stats.end())<<" ms\n";    
+    std::cout<<"Max: "<<*std::max_element(detNN->pre_stats.begin(), detNN->pre_stats.end())<<" ms\n";    
+    for(int i=0; i<detNN->pre_stats.size(); i++) mean += detNN->pre_stats[i]; mean /= detNN->pre_stats.size();
+    std::cout<<"Avg: "<<mean<<" ms\n"<<COL_END;   
+    mean=0;
     std::cout<<COL_GREENB<<"\n\nTime stats:\n";
     std::cout<<"Min: "<<*std::min_element(detNN->stats.begin(), detNN->stats.end())<<" ms\n";    
     std::cout<<"Max: "<<*std::max_element(detNN->stats.begin(), detNN->stats.end())<<" ms\n";    
     for(int i=0; i<detNN->stats.size(); i++) mean += detNN->stats[i]; mean /= detNN->stats.size();
     std::cout<<"Avg: "<<mean<<" ms\n"<<COL_END;   
+    mean=0;
+    std::cout<<COL_GREENB<<"\n\nTime postprocessing stats:\n";
+    std::cout<<"Min: "<<*std::min_element(detNN->post_stats.begin(), detNN->post_stats.end())<<" ms\n";    
+    std::cout<<"Max: "<<*std::max_element(detNN->post_stats.begin(), detNN->post_stats.end())<<" ms\n";    
+    for(int i=0; i<detNN->post_stats.size(); i++) mean += detNN->post_stats[i]; mean /= detNN->post_stats.size();
+    std::cout<<"Avg: "<<mean<<" ms\n"<<COL_END;   
+    
     
 
     return 0;
diff --git a/include/tkDNN/DetectionNN3D.h b/include/tkDNN/DetectionNN3D.h
index 32834ac..2870aa0 100644
--- a/include/tkDNN/DetectionNN3D.h
+++ b/include/tkDNN/DetectionNN3D.h
@@ -62,7 +62,7 @@ class DetectionNN3D {
         float confThreshold = 0.3; /*threshold on the confidence of the boxes*/
 
         std::vector<tk::dnn::box> detected; /*bounding boxes in output*/
-        std::vector<double> stats; /*keeps track of inference times (ms)*/
+        std::vector<double> pre_stats, stats, post_stats, visual_stats; /*keeps track of inference times (ms)*/
         std::vector<std::string> classesNames;
 
         DetectionNN3D() {};
@@ -107,6 +107,7 @@ class DetectionNN3D {
                 TKDNN_TSTART
                 preprocess(frame);
                 TKDNN_TSTOP
+                pre_stats.push_back(t_ns);
                 if(save_times) *times<<t_ns<<";";
             }
 
@@ -126,6 +127,7 @@ class DetectionNN3D {
                 TKDNN_TSTART
                 postprocess();
                 TKDNN_TSTOP
+                post_stats.push_back(t_ns);
                 if(save_times) *times<<t_ns<<"\n";
             }
         }