Update MIPS Benchmark

MIPS-Benchmark/MIPSBenchmark.py

@@ -0,0 +1,49 @@
+import numpy as np
+from time import time
+
+class MIPSBenchmark:
+    def __init__(self, iters: int):
+        self.iters = iters
+        self.start_time = 0
+        self.end_time = 0
+        self.elapsed_time = 0
+        self.total_instructions = 0
+        self.mips = 0
+
+    def ips_operation(self):
+        # Run basic 7 ALU operations
+        _ = np.random.randint(10) + np.random.randint(10)
+        _ = np.random.randint(10) - np.random.randint(10)
+        _ = np.random.randint(10) * np.random.randint(10)
+        _ = np.random.randint(10) // (np.random.randint(10) + 1) # Prevent Division by Zero
+        _ = np.random.choice([True, False]) & np.random.choice([True, False])
+        _ = np.random.choice([True, False]) | np.random.choice([True, False])
+        _ = np.random.choice([True, False]) ^ np.random.choice([True, False])
+
+    def calculate(self):
+        self.elapsed_time = self.end_time - self.start_time
+        self.total_instructions = self.iters*7
+        self.mips = (self.total_instructions / self.elapsed_time) / 1000000
+        print(f"=> Executed {self.total_instructions} within {self.elapsed_time}\n=> Result : {self.mips:.2f} MIPS")
+
+    def run(self):
+        print("# MIPS CPU Benchmark #")
+        print("# Running 7 Basic ALU Ops #")
+
+        self.start_time = time()
+        for i in range(1, self.iters+1):
+            print(f"=> Running Iteration #{str(i)}", end="\r")
+            self.ips_operation()
+        print("\n")
+        self.end_time = time()
+
+        self.calculate()
+
+
+def main():
+    iters = 1000000 # Minimum 1,000,000 times
+    bench = MIPSBenchmark(iters=iters)
+    bench.run()
+
+
+main()

README.md

@@ -7,4 +7,5 @@ This repository contains useful programs written in **Python 3.9**. Each folder
 * **Pickle Compress Program** : compress variable dumps using **gzip**, **bzip2**, **lzma**, or **no compression at all**
 * **FastAPI Simple Example** : contains API standard operations (Normal Request, GET Request, HTML Request)
 * **Matrix-based Bencmark** : contains a class to recreate Linpack (Matrix-based) Floating-point Per Second (FLOPS) Benchmark. Based on **numpy** or **scipy** libs
+* **MIPS-Benchmark** : contains a script to benchmark your CPU's Intrusion Execution Speed (Million Instructions Per Second). The result might be lower but consistent on numerous runs.
 * *adding more soon*