diff --git a/benchmarks/dataframe_performance.cc b/benchmarks/dataframe_performance.cc
index aa3a7e553..b63ad0372 100644
--- a/benchmarks/dataframe_performance.cc
+++ b/benchmarks/dataframe_performance.cc
@@ -39,19 +39,24 @@ typedef StdDataFrame<time_t> MyDataFrame;
 
 int main(int, char *[]) {
 
-    std::cout << "Starting ... " << time(nullptr) << std::endl;
+    std::cout << "Starting ... " << std::endl;
 
-    MyDataFrame df;
+    const auto  first = time(nullptr);
     auto        index_vec =
-        MyDataFrame::gen_datetime_index("01/01/1970", "08/15/2019", time_frequency::secondly, 1);
+        MyDataFrame::gen_datetime_index("01/01/1970", "08/15/2019",
+                                        time_frequency::secondly, 1);
     const auto  index_sz = index_vec.size();
+    MyDataFrame df;
 
     df.load_data(std::move(index_vec),
                  std::make_pair("normal", gen_normal_dist<double>(index_sz)),
                  std::make_pair("log_normal", gen_lognormal_dist<double>(index_sz)),
                  std::make_pair("exponential", gen_exponential_dist<double>(index_sz)));
 
-    std::cout << "All memory allocations are done. Calculating means ... " << time(nullptr)<< std::endl;
+    const auto  second = time(nullptr);
+
+    std::cout << "All data loadings are done. Calculating means ... "
+              << second - first << std::endl;
 
     MeanVisitor<double, time_t> n_mv;
     MeanVisitor<double, time_t> ln_mv;
@@ -64,7 +69,11 @@ int main(int, char *[]) {
     std::cout << fut1.get().get_result() << ", "
               << fut2.get().get_result() << ", "
               << fut3.get().get_result() << std::endl;
-    std::cout << time(nullptr) << " ... Done" << std::endl;
+
+    const auto  third = time(nullptr);
+
+    std::cout << third - second << ", " << third - first
+              << " All done" << std::endl;
     return (0);
 }
 
diff --git a/benchmarks/pandas_performance.py b/benchmarks/pandas_performance.py
index 10f85f78b..98c5590c0 100644
--- a/benchmarks/pandas_performance.py
+++ b/benchmarks/pandas_performance.py
@@ -4,8 +4,9 @@
 
 # ------------------------------------------------------------------------------
 
-print(f"Starting ... {int(time.time())}");
+print("Starting ...");
 
+first = time.time()
 timestamps = pd.date_range("1970-01-01", "2019-08-15", freq='S')
 df = pd.DataFrame({"timestamp": timestamps,
                    "normal": np.random.normal(size=len(timestamps)),
@@ -14,13 +15,17 @@
                    })
 df.set_index("timestamp")
 
-print(f"All memory allocations are done. Calculating means ... {int(time.time())}")
+second = time.time()
+print(f"All data loadings are done. Calculating means ... {int(second - first)}")
 
 m1: float = df["normal"].mean()
 m2: float = df["log_normal"].mean()
 m3: float = df["exponential"].mean()
 print(f"{m1}, {m2}, {m3}")
-print(f"{int(time.time())} ... Done");
+
+third = time.time()
+
+print(f"{int(third - second)}, {int(third - first)} All done");
 
 # ------------------------------------------------------------------------------