diff --git a/scripts/performance/topN_callgrind.py b/scripts/performance/topN_callgrind.py
new file mode 100755
index 0000000000..6136f72a74
--- /dev/null
+++ b/scripts/performance/topN_callgrind.py
@@ -0,0 +1,139 @@
+#!/usr/bin/env python3
+
+#  Print the top N most executed functions in QEMU using callgrind.
+#  Syntax:
+#  topN_callgrind.py [-h] [-n] <number of displayed top functions>  -- \
+#           <qemu executable> [<qemu executable options>] \
+#           <target executable> [<target execurable options>]
+#
+#  [-h] - Print the script arguments help message.
+#  [-n] - Specify the number of top functions to print.
+#       - If this flag is not specified, the tool defaults to 25.
+#
+#  Example of usage:
+#  topN_callgrind.py -n 20 -- qemu-arm coulomb_double-arm
+#
+#  This file is a part of the project "TCG Continuous Benchmarking".
+#
+#  Copyright (C) 2020  Ahmed Karaman <ahmedkhaledkaraman@gmail.com>
+#  Copyright (C) 2020  Aleksandar Markovic <aleksandar.qemu.devel@gmail.com>
+#
+#  This program is free software: you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation, either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+#  GNU General Public License for more details.
+#
+#  You should have received a copy of the GNU General Public License
+#  along with this program. If not, see <https://www.gnu.org/licenses/>.
+
+import argparse
+import os
+import subprocess
+import sys
+
+
+# Parse the command line arguments
+parser = argparse.ArgumentParser(
+    usage='topN_callgrind.py [-h] [-n] <number of displayed top functions>  -- '
+          '<qemu executable> [<qemu executable options>] '
+          '<target executable> [<target executable options>]')
+
+parser.add_argument('-n', dest='top', type=int, default=25,
+                    help='Specify the number of top functions to print.')
+
+parser.add_argument('command', type=str, nargs='+', help=argparse.SUPPRESS)
+
+args = parser.parse_args()
+
+# Extract the needed variables from the args
+command = args.command
+top = args.top
+
+# Insure that valgrind is installed
+check_valgrind = subprocess.run(
+    ["which", "valgrind"], stdout=subprocess.DEVNULL)
+if check_valgrind.returncode:
+    sys.exit("Please install valgrind before running the script!")
+
+# Run callgrind
+callgrind = subprocess.run((["valgrind", "--tool=callgrind",
+                             "--callgrind-out-file=callgrind.data"] + command),
+                           stdout=subprocess.DEVNULL, stderr=subprocess.PIPE)
+if callgrind.returncode:
+    sys.exit(callgrind.stderr.decode("utf-8"))
+
+# Save callgrind_annotate output to callgrind_annotate.out
+with open("callgrind_annotate.out", "w") as output:
+    callgrind_annotate = subprocess.run(
+        ["callgrind_annotate", "callgrind.data"],
+        stdout=output,
+        stderr=subprocess.PIPE)
+    if callgrind_annotate.returncode:
+        os.unlink('callgrind.data')
+        output.close()
+        os.unlink('callgrind_annotate.out')
+        sys.exit(callgrind_annotate.stderr.decode("utf-8"))
+
+
+# Read the callgrind_annotate output to callgrind_data[]
+callgrind_data = []
+with open('callgrind_annotate.out', 'r') as data:
+    callgrind_data = data.readlines()
+
+# Line number with the total number of instructions
+total_instructions_line_number = 20
+
+# Get the total number of instructions
+total_instructions_line_data = callgrind_data[total_instructions_line_number]
+total_number_of_instructions = total_instructions_line_data.split(' ')[0]
+total_number_of_instructions = int(
+    total_number_of_instructions.replace(',', ''))
+
+# Line number with the top function
+first_func_line = 25
+
+# Number of functions recorded by callgrind, last two lines are always empty
+number_of_functions = len(callgrind_data) - first_func_line - 2
+
+# Limit the number of top functions to "top"
+number_of_top_functions = (top if number_of_functions >
+                           top else number_of_functions)
+
+# Store the data of the top functions in top_functions[]
+top_functions = callgrind_data[first_func_line:
+                               first_func_line + number_of_top_functions]
+
+# Print table header
+print('{:>4}  {:>10}  {:<30}  {}\n{}  {}  {}  {}'.format('No.',
+                                                         'Percentage',
+                                                         'Name',
+                                                         'Source File',
+                                                         '-' * 4,
+                                                         '-' * 10,
+                                                         '-' * 30,
+                                                         '-' * 30,
+                                                         ))
+
+# Print top N functions
+for (index, function) in enumerate(top_functions, start=1):
+    function_data = function.split()
+    # Calculate function percentage
+    function_instructions = float(function_data[0].replace(',', ''))
+    function_percentage = (function_instructions /
+                           total_number_of_instructions)*100
+    # Get function name and source files path
+    function_source_path, function_name = function_data[1].split(':')
+    # Print extracted data
+    print('{:>4}  {:>9.3f}%  {:<30}  {}'.format(index,
+                                                round(function_percentage, 3),
+                                                function_name,
+                                                function_source_path))
+
+# Remove intermediate files
+os.unlink('callgrind.data')
+os.unlink('callgrind_annotate.out')
