diff --git a/tests/benchmarks/evaluate_logs.ipynb b/tests/benchmarks/evaluate_logs.ipynb
index e0c60a8f9..a35dbbc02 100644
--- a/tests/benchmarks/evaluate_logs.ipynb
+++ b/tests/benchmarks/evaluate_logs.ipynb
@@ -300,7 +300,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 186,
+   "execution_count": 341,
    "metadata": {
     "collapsed": false
    },
@@ -309,11 +309,11 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "226 samples were never transferred\n",
-      "0 of these errors occured after the first sample arrived at the receive side.\n",
+      "226 samples were never transferred (0.05%)\n",
+      "0 (0.0%) of these errors occured after the first sample arrived at the receive side.\n",
       "\n",
-      "195 samples were never transferred\n",
-      "0 of these errors occured after the first sample arrived at the receive side.\n",
+      "195 samples were never transferred (0.04%)\n",
+      "0 (0.0%) of these errors occured after the first sample arrived at the receive side.\n",
       "\n"
      ]
     }
@@ -323,6 +323,9 @@
     "never_trans_total_arr = []\n",
     "never_trans_after_arr = []\n",
     "\n",
+    "perc_never_trans_total_arr = []\n",
+    "perc_never_trans_after_arr = []\n",
+    "\n",
     "# Small check if formats of arrays make sense\n",
     "if len(input_array) < len(output_array):\n",
     "    print(\"Error: Something went wrong! The length of the input array should always be bigger than or equal to the length of the output array\")\n",
@@ -341,9 +344,15 @@
     "    never_trans_total_arr.append(len(missing_seq[i]))\n",
     "    \n",
     "    never_trans_after_arr.append(np.sum(missing_seq[i] > first_second_smp_output[i][0]))\n",
+    "    \n",
+    "    # Take percentage\n",
+    "    perc_never_trans_total_arr.append(round(never_trans_total_arr[i] / int(settings_array[i][4]) * 100, 2))\n",
+    "    perc_never_trans_after_arr.append(round(never_trans_after_arr[i] / int(settings_array[i][4]) * 100, 2))\n",
     "            \n",
-    "    print(\"{} samples were never transferred\".format(never_trans_total_arr[i]))\n",
-    "    print(\"{} of these errors occured after the first sample arrived at the receive side.\".format(never_trans_after_arr[i]))\n",
+    "    print(\"{} samples were never transferred ({}%)\".format(never_trans_total_arr[i],\n",
+    "                                                           perc_never_trans_total_arr[i]))\n",
+    "    print(\"{} ({}%) of these errors occured after the first sample arrived at the receive side.\".format(never_trans_after_arr[i],\n",
+    "                                                                                                        perc_never_trans_after_arr[i]))\n",
     "\n",
     "    print(\"\")"
    ]
@@ -386,11 +395,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 346,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "import matplotlib.pyplot as plt\n",
     "from matplotlib.font_manager import FontProperties\n",
@@ -424,7 +454,7 @@
     "    # http://www.color-hex.com/color-palette/33602\n",
     "    csv_vec_t = csv_vec.transpose()\n",
     "    \n",
-    "    ax.hist(csv_vec_t[2] * 1e6, label='t_sent -> t_recv offset            ',\n",
+    "    ax.hist(csv_vec_t[2] * 1e6, label='   t_sent  →  t_recv offset',\n",
     "            edgecolor='black',\n",
     "            bins=bins,\n",
     "            color='#00549f')\n",
@@ -450,132 +480,130 @@
     "    off_smaller_5us = round((np.size(csv_vec_t[2][csv_vec_t[2] < 0.000005]) / np.size(csv_vec_t[2])) * 100, 2)\n",
     "    off_bigger_50us = round((np.size(csv_vec_t[2][csv_vec_t[2] > x_limit]) / np.size(csv_vec_t[2])) * 100, 2)\n",
     "    \n",
-    "    offset_text  = 'offset <  {0}: {1:2.2f}% of samples\\n'.format('2.5µs', off_smaller_2p5us)\n",
-    "    offset_text += 'offset <     {0}: {1:2.2f}% of samples\\n'.format('5µs', off_smaller_5us)\n",
-    "    offset_text += 'offset >   {0}: {1:2.2f}% of samples'.format('50µs', off_bigger_50us)\n",
+    "    offset_text  = '< 2.5µs: {0:11.2f}% of samples\\n'.format(off_smaller_2p5us)\n",
+    "    offset_text += '<   5µs: {0:11.2f}% of samples\\n'.format(off_smaller_5us)\n",
+    "    offset_text += '>  50µs: {0:11.2f}% of samples'.format(off_bigger_50us)\n",
     "    \n",
     "    \n",
-    "    start_nr_text  = '{0: <25}  {1: <8}    {2: <9}\\n'.format(\"1st, 2nd (input):\",\n",
-    "                                                           int(first_second_smp_input[i][0]),\n",
-    "                                                           int(first_second_smp_input[i][1]))\n",
-    "    start_nr_text += '{0: <24}  {1: <8} {2: <9}'.format(\"1st, 2nd (output):\",\n",
-    "                                                         int(first_second_smp_output[i][0]),\n",
-    "                                                         int(first_second_smp_output[i][1]))\n",
+    "    # First sequence numbers:\n",
+    "    start_nr_text  = 'Send: 1st = {0:6d}, 2nd = {1:6d}\\n'.format(int(first_second_smp_input[i][0]),\n",
+    "                                                                 int(first_second_smp_input[i][1]))\n",
+    "    start_nr_text += 'Recv: 1st = {0:6d}, 2nd = {1:6d}'.format(int(first_second_smp_output[i][0]),\n",
+    "                                                               int(first_second_smp_output[i][1]))\n",
     "    \n",
     "       \n",
     "    \n",
     "    # Create text for missed steps\n",
-    "    missed_text  = '{0} {1:>5} ({2:>2.2f}%)\\n'.format(\"missing at send side:\",\n",
-    "                                                           missed_send_arr[i],\n",
-    "                                                           perc_miss_send_arr[i])\n",
-    "    missed_text += '{0} {1:>6} ({2:>2.2f}%)'.format(\"missing at recv side:\",\n",
-    "                                                         missed_recv_arr[i],\n",
-    "                                                         perc_miss_recv_arr[i])\n",
+    "    missed_text  = 'Send: {0:17d} ({1:5.2f}%)\\n'.format(missed_send_arr[i],\n",
+    "                                                          perc_miss_send_arr[i])\n",
+    "    missed_text += 'Recv: {0:17d} ({1:5.2f}%)'.format(missed_recv_arr[i],\n",
+    "                                                        perc_miss_recv_arr[i])\n",
     "    \n",
     "    # Create text for missed steps\n",
-    "    never_transferred  = '{} {}\\n'.format(\"total:\", never_trans_total_arr[i])\n",
-    "    never_transferred += '{0} {1:<28}'.format(\"after connection established:\", never_trans_after_arr[i])\n",
+    "    never_transferred_text  = '           Total: {0:5d} ({1:5.2f}%)\\n'.format(never_trans_total_arr[i],\n",
+    "                                                                  perc_never_trans_total_arr[i])\n",
+    "    never_transferred_text += 'After connecting: {0:5d} ({1:5.2f}%)'.format(never_trans_after_arr[i],\n",
+    "                                                                            perc_never_trans_after_arr[i])\n",
     "    \n",
     "    # Create text for extrema\n",
-    "    extrema_text_column_1  = 'min: {0:4.2f}{1:<8}\\n'.format(round(np.min(csv_vec_t[2]) * 1e6, 2), 'µs')\n",
-    "    extrema_text_column_1 += 'max: {0:4.2f}{1:<8}'.format(round(np.max(csv_vec_t[2]) * 1e6, 2), 'µs')\n",
+    "    extrema_text  = 'Min: {0:>7.2f}µs,   Max: {1:>7.2f}µs\\n'.format(round(np.min(csv_vec_t[2]) * 1e6, 2),\n",
+    "                                                                   round(np.max(csv_vec_t[2]) * 1e6, 2))\n",
+    "    extrema_text += 'Avg: {0:>7.2f}µs,   Med: {1:>7.2f}µs'.format(round(np.average(csv_vec_t[2]) * 1e6, 2),\n",
+    "                                                                 round(np.median(csv_vec_t[2]) * 1e6, 2))\n",
     "    \n",
-    "    extrema_text_2  = 'average:   {0:4.2f}{1:>}\\n'.format(round(np.average(csv_vec_t[2]) * 1e6, 2), 'µs')\n",
-    "    extrema_text_2 += 'median :    {0:4.2f}{1:>}'.format(round(np.median(csv_vec_t[2]) * 1e6, 2), 'µs') \n",
     "           \n",
-    "    # bbox accepts FancyBboxPatch prop dict\n",
+    "    # Set font properties for headers and text\n",
     "    font_header = FontProperties()\n",
+    "    font_header.set_family('monospace')\n",
     "    font_header.set_weight('bold')\n",
     "    font_header.set_size(10)\n",
     "    \n",
-    "    \n",
-    "    # Set box constraints\n",
-    "    left, width = .705, .295\n",
+    "    font_text = FontProperties()\n",
+    "    font_text.set_size(9.5)\n",
+    "    font_text.set_family('monospace')\n",
+    "        \n",
+    "    # Set box constraints for wrapper and plot wrapper\n",
+    "    left, width = .698, .305\n",
     "    right = left + width\n",
     "    \n",
     "    plot_fancy_box(bottom = 0.28, height = 0.72)\n",
     "\n",
-    "    # Set box constraints\n",
-    "    left, width = .715, .275\n",
+    "    # Set box constraints for text boxes\n",
+    "    left, width = .710, .275\n",
     "    right = left + width\n",
     "    \n",
     "    #Create legend\n",
-    "    ax.text(0.986, 0.985, \"Legend\",\n",
+    "    ax.text(right, 0.985, \"Legend\",\n",
     "            verticalalignment='top', horizontalalignment='right',\n",
     "            transform=ax.transAxes,\n",
     "            color='black', fontproperties = font_header)\n",
     "\n",
     "        \n",
-    "    ax.legend(loc=1, bbox_to_anchor=(1, 0.965), fontsize = 10)\n",
+    "    ax.legend(loc=1, bbox_to_anchor=(0.994, 0.965), prop={'family':'monospace', 'size':'9.5'})\n",
     "\n",
     "    \n",
     "    # Offset boxes\n",
     "    plot_fancy_box(bottom = 0.7775, height = 0.0825)\n",
     "    \n",
-    "    ax.text(0.986, 0.892, \"Offset Ranges\",\n",
+    "    ax.text(right, 0.892, \"Ranges offset\",\n",
     "            verticalalignment='top', horizontalalignment='right',\n",
     "            transform=ax.transAxes,\n",
     "            color='black', fontproperties = font_header)\n",
-    "    ax.text(left, 0.857, offset_text,\n",
-    "            verticalalignment='top', horizontalalignment='left',\n",
+    "    ax.text(right, 0.857, offset_text,\n",
+    "            verticalalignment='top', horizontalalignment='right',\n",
     "            transform=ax.transAxes,\n",
-    "            color='black', fontsize=10)\n",
+    "            color='black', fontproperties = font_text)\n",
     "    \n",
     "    # Start Nr\n",
     "    plot_fancy_box(bottom = 0.6575, height = 0.055)\n",
     "    \n",
-    "    ax.text(0.986, 0.7475, \"Sequence numbers in CSV files\",\n",
+    "    ax.text(right, 0.7475, \"Sequence numbers in data\",\n",
     "            verticalalignment='top', horizontalalignment='right',\n",
     "            transform=ax.transAxes,\n",
     "            color='black', fontproperties = font_header)\n",
-    "    ax.text(left, 0.7075, start_nr_text,\n",
-    "            verticalalignment='top', horizontalalignment='left',\n",
+    "    ax.text(right, 0.7075, start_nr_text,\n",
+    "            verticalalignment='top', horizontalalignment='right',\n",
     "            transform=ax.transAxes,\n",
-    "            color='black', fontsize=10)\n",
+    "            color='black', fontproperties = font_text)\n",
     "    \n",
     "    # Missed steps\n",
     "    plot_fancy_box(bottom = 0.5375, height = 0.055)\n",
     "    \n",
-    "    ax.text(0.986, 0.6275, \"Missed steps\",\n",
+    "    ax.text(right, 0.6275, \"Missed steps\",\n",
     "            verticalalignment='top', horizontalalignment='right',\n",
     "            transform=ax.transAxes,\n",
     "            color='black', fontproperties = font_header)\n",
-    "    ax.text(left, 0.5875, missed_text,\n",
-    "            verticalalignment='top', horizontalalignment='left',\n",
+    "    ax.text(right, 0.5875, missed_text,\n",
+    "            verticalalignment='top', horizontalalignment='right',\n",
     "            transform=ax.transAxes,\n",
-    "            color='black', fontsize=10)\n",
+    "            color='black', fontproperties = font_text)\n",
     "    \n",
     "    # Never transferred\n",
     "    plot_fancy_box(bottom = 0.4175, height = 0.055)\n",
     "    \n",
-    "    ax.text(0.986, 0.5075, \"Samples not transferred\",\n",
+    "    ax.text(right, 0.5075, \"Samples not transferred\",\n",
     "            verticalalignment='top', horizontalalignment='right',\n",
     "            transform=ax.transAxes,\n",
     "            color='black', fontproperties = font_header)\n",
-    "    ax.text(left, 0.4675, never_transferred,\n",
+    "    ax.text(right, 0.4675, never_transferred_text,\n",
     "            verticalalignment='top', \n",
-    "            horizontalalignment='left',\n",
+    "            horizontalalignment='right',\n",
     "            transform=ax.transAxes,\n",
-    "            color='black', fontsize=10)\n",
+    "            color='black', fontproperties = font_text)\n",
     "    \n",
     "    # Extrema\n",
     "    plot_fancy_box(bottom = 0.2975, height = 0.055)\n",
     "    \n",
     "    \n",
-    "    ax.text(0.986, 0.3875, \"Extrema\",\n",
+    "    ax.text(right, 0.3875, \"Extrema\",\n",
     "            verticalalignment='top', horizontalalignment='right',\n",
     "            transform=ax.transAxes,\n",
     "            color='black', fontproperties = font_header)\n",
-    "    ax.text(left, 0.3475, extrema_text_1,\n",
-    "            verticalalignment='top', horizontalalignment='left',\n",
+    "    ax.text(right, 0.3475, extrema_text,\n",
+    "            verticalalignment='top', horizontalalignment='right',\n",
     "            transform=ax.transAxes,\n",
-    "            color='black', fontsize=10)\n",
-    "    ax.text(0.85, 0.3475, extrema_text_2,\n",
-    "            verticalalignment='top', horizontalalignment='left',\n",
-    "            transform=ax.transAxes,\n",
-    "            color='black', fontsize=10)\n",
+    "            color='black', fontproperties = font_text)\n",
     "   \n",
-    "\n",
     "    #Show plot\n",
     "    plt.show()\n",
     "\n",