diff --git a/benchmarks/dhrystone_run_multiple.py b/benchmarks/dhrystone_run_multiple.py
new file mode 100644
index 0000000..c56bffc
--- /dev/null
+++ b/benchmarks/dhrystone_run_multiple.py
@@ -0,0 +1,108 @@
+import argparse
+import os
+import shutil
+import subprocess
+import time
+from pathlib import Path
+
+
+def run_command(command, cwd=None):
+    """Run a shell command in the specified directory and return its output."""
+    result = subprocess.run(
+        command,
+        shell=True,
+        cwd=cwd,
+        stdout=subprocess.PIPE,
+        stderr=subprocess.PIPE,
+        check=False,
+    )
+    return result.stdout.decode("utf-8"), result.stderr.decode("utf-8")
+
+
+def build_test_cases(makefile_dir, iterations):
+    """Run the Makefile with the specified iterations."""
+    make_command = f"make clean && make ITERATIONS={iterations}"
+    stdout, stderr = run_command(make_command, cwd=makefile_dir)
+    if stderr:
+        raise RuntimeError(f"Error during make: {stderr}")
+
+
+def main(simulator_path, makefile_dir):
+    # Directory for generated test cases
+    generated_dir = makefile_dir.parent / "workspace"
+    os.makedirs(generated_dir, exist_ok=True)
+
+    # Define the iterations
+    iterations_list = [10, 20, 30]
+    # 15 value up to 6.000.000 evenly apart on a log scale
+    iterations_list = [
+        1,
+        2,
+        4,
+        8,
+        17,
+        34,
+        69,
+        141,
+        287,
+        582,
+        1182,
+        2401,
+        4878,
+        9910,
+        20133,
+        40914,
+        83103,
+        168830,
+        343042,
+        696712,
+        1414641,
+        2874878,
+        5837995,
+    ]
+
+    for iteration in iterations_list:
+        try:
+            # Update the Makefile with the current ITERATIONS value
+            build_test_cases(makefile_dir, iteration)
+        except RuntimeError as e:
+            print(f"Error during compilation with ITERATIONS={iteration}: {e}")
+            continue
+
+        # Run the simulator with the generated test case
+        exe = makefile_dir / "dhrystone.elf"
+        if not exe.is_file():
+            exit(f"{exe} does not exist")
+        verbose_exe = generated_dir / "bin" / f"dhrystone_{iteration}.elf"
+        os.makedirs(verbose_exe.parent, exist_ok=True)
+        shutil.copy(exe, verbose_exe)
+        backends = ["interp", "llvm", "tcc", "asmjit"]
+        for backend in backends:
+            log_file = os.path.join(generated_dir, f"{backend}_{iteration}.log")
+
+            sim_command = f"{simulator_path} -f {exe} --backend {backend}"
+            start_time = time.time()
+            sim_stdout, sim_stderr = run_command(sim_command)
+            end_time = time.time()
+            elapsed_time = end_time - start_time
+
+            # Save the output to the logfile
+            with open(log_file, "w", encoding="utf8") as f:
+                f.write(sim_stdout)
+                if sim_stderr:
+                    f.write(f"\nErrors:\n{sim_stderr}")
+
+            print(
+                f"Ran {backend} in {elapsed_time:.2f} s, Output saved to {backend}_{iteration}.log"
+            )
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(
+        description="Run simulations with generated test cases."
+    )
+    parser.add_argument("simulator_path", help="Path to the simulator executable.")
+
+    args = parser.parse_args()
+    dhrystone_path = Path(__file__).parent / "dhrystone"
+    main(args.simulator_path, dhrystone_path)
diff --git a/benchmarks/visualize_runtimes.py b/benchmarks/visualize_runtimes.py
new file mode 100644
index 0000000..f02588a
--- /dev/null
+++ b/benchmarks/visualize_runtimes.py
@@ -0,0 +1,86 @@
+import argparse
+import os
+import re
+from pathlib import Path
+
+import plotly.express as px
+import yaml
+
+
+def parse_logs(log_dir):
+    results = []
+    for filename in os.listdir(log_dir):
+        if filename.endswith(".log"):
+            filepath = os.path.join(log_dir, filename)
+            with open(filepath, "r", encoding="utf8") as file:
+                for line in file:
+                    if (
+                        "Executed" in line
+                        and "instructions" in line
+                        and "during" in line
+                        and "resulting in" in line
+                    ):
+                        parts = line.split()
+                        instructions = int(parts[3])
+                        time_idx = parts.index("during") + 1
+                        time = int(parts[time_idx].rstrip("ms"))
+                        mips_idx = parts.index("resulting") + 2
+                        mips = float(parts[mips_idx].rstrip("MIPS"))
+                        backend, iterations, _ = re.split(r"[_.]", filename)
+
+                        results.append(
+                            {
+                                "backend": backend,
+                                "run_count": int(iterations),
+                                "instructions": instructions,
+                                "time": time,
+                                "mips": mips,
+                            }
+                        )
+    return results
+
+
+def write_yaml(results, output_file):
+    with open(output_file, "w", encoding="utf8") as file:
+        yaml.dump(results, file)
+
+
+def visualize_mips_over_instructions(yaml_file):
+    # Read data from YAML file
+    with open(yaml_file, "r", encoding="utf8") as file:
+        data = yaml.safe_load(file)
+
+    # Extract instructions and MIPS values
+    run_count = [entry["run_count"] for entry in data]
+    mips = [entry["mips"] for entry in data]
+    backends = [entry["backend"] for entry in data]
+    # Create scatter plot using Plotly Express
+    fig = px.line(
+        x=run_count,
+        y=mips,
+        color=backends,
+        labels={"x": "Dhrystone Iterations", "y": "MIPS", "color": "Backend"},
+        title="MIPS over Amount of Dhrystone Iterations",
+        log_x=True,
+    )
+    fig.show()
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="""
+        Parse log files and extract relevant information. Create a 'results.yaml' file and visualize it.
+        Intended to be run after 'dhrystone_run_multiple.py'"""
+    )
+    parser.add_argument("log_dir", help="Path to the directory containing log files.")
+    args = parser.parse_args()
+
+    result_file = Path(__file__).parent / "results.yaml"
+    if not result_file.is_file():
+        results = parse_logs(args.log_dir)
+        write_yaml(results, result_file)
+    visualize_mips_over_instructions(result_file)
+
+
+if __name__ == "__main__":
+    main()