Update MIPS Benchmark
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2 changed files with 11 additions and 11 deletions
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@ -1,4 +1,3 @@
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import numpy as np
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from time import time
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class MIPSBenchmark:
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@ -12,19 +11,20 @@ class MIPSBenchmark:
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def ips_operation(self):
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# Run basic 7 ALU operations
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_ = np.random.randint(10) + np.random.randint(10)
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_ = np.random.randint(10) - np.random.randint(10)
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_ = np.random.randint(10) * np.random.randint(10)
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_ = np.random.randint(10) // (np.random.randint(10) + 1) # Prevent Division by Zero
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_ = np.random.choice([True, False]) & np.random.choice([True, False])
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_ = np.random.choice([True, False]) | np.random.choice([True, False])
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_ = np.random.choice([True, False]) ^ np.random.choice([True, False])
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_ = 5 + 5
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_ = 5 - 5
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_ = 5 * 5
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_ = 5 // 5
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_ = True & True
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_ = True | False
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_ = False ^ False
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def calculate(self):
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self.elapsed_time = self.end_time - self.start_time
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self.total_instructions = self.iters*7
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self.mips = (self.total_instructions / self.elapsed_time) / 1000000
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print(f"=> Executed {self.total_instructions} within {self.elapsed_time}\n=> Result : {self.mips:.2f} MIPS")
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self.mips = (self.total_instructions / self.elapsed_time)
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print(f"=> Executed {self.total_instructions} within {self.elapsed_time:.2f}")
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print(f"=> Result : {self.mips:.2f} IPS / {self.mips/1e6:.2f} MIPS")
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def run(self):
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print("# MIPS CPU Benchmark #")
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@ -7,5 +7,5 @@ This repository contains useful programs written in **Python 3.9**. Each folder
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* **Pickle Compress Program** : compress variable dumps using **gzip**, **bzip2**, **lzma**, or **no compression at all**
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* **FastAPI Simple Example** : contains API standard operations (Normal Request, GET Request, HTML Request)
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* **Matrix-based Bencmark** : contains a class to recreate Linpack (Matrix-based) Floating-point Per Second (FLOPS) Benchmark. Based on **numpy** or **scipy** libs
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* **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.
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* **MIPS-Benchmark** : contains a script to benchmark your CPU's Execution Speed (Million Instructions Per Second). The result is often consistent
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* *adding more soon*
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