M1 vs. Intel: Ruby Benchmark Battle

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M1 vs. Intel: Ruby Benchmark Battle

Table of Contents

  1. 🖥️ Introduction
  2. 💻 Benchmarking Setup
    • 2.1 Ruby Installation
    • 2.2 Executing Mandelbrot Algorithm
  3. 🔄 Benchmarking Results
    • 3.1 Comparison: MacBook Pro 16 (Intel) vs. MacBook Air M1
    • 3.2 Intel vs. M1: Rosetta Emulation
    • 3.3 Plugged vs. Unplugged: Intel Performance
  4. 🎁 Giveaway Announcement
  5. 🔍 Conclusion

Introduction

Alright, welcome back! Today, we're diving into the world of benchmarking, specifically focusing on Ruby performance on two different Mac systems: the MacBook Pro 16 with an Intel processor and the new MacBook Air M1.

Benchmarking Setup

Ruby Installation

To kick things off, let's talk about the setup. Installing Ruby on your Mac is a breeze. All you need to do is ensure that Ruby is installed on both systems, and you're good to go.

Executing Mandelbrot Algorithm

We'll be using the Mandelbrot algorithm from the Benchmarks Game. This algorithm is fantastic for stressing out your system's CPUs to the max. Don't worry if you're not familiar with it; we'll break it down as we go along.

Benchmarking Results

Comparison: MacBook Pro 16 (Intel) vs. MacBook Air M1

Now, let's dive into the juicy part: the results! After running the Mandelbrot algorithm on both systems, we found some intriguing outcomes. Surprisingly, the Intel-based MacBook Pro 16 came out on top in terms of speed, clocking in at one minute and 57 seconds, while the M1-powered MacBook Air lagged behind at two minutes and 34 seconds.

Intel vs. M1: Rosetta Emulation

But hold on, there's more! We decided to throw a curveball into the mix by comparing how the M1 performs under Rosetta emulation. To our surprise, the emulation didn't quite match up to the native Intel performance. The M1, under Rosetta, took a bit longer, coming in at three minutes and 50 seconds.

Plugged vs. Unplugged: Intel Performance

Curious about how the Intel Mac fares when plugged in versus running on battery? Well, we did some tests for that too! Strangely, plugging in the Intel box didn't significantly improve performance. It maintained a consistent runtime of one minute and 57 seconds, whether plugged in or not.

Giveaway Announcement

Before we wrap things up, let's talk about the giveaway! We recently had a keyboard giveaway, but the winner decided not to claim their prize. So, here's your chance to win! Just leave a comment below, and make sure you're subscribed to the Channel for a chance to win this awesome mechanical keyboard. Don't forget to hit that like button if you enjoyed the content!

Conclusion

In conclusion, while the Intel-based MacBook Pro 16 showcased slightly better performance in our Mandelbrot benchmark, there's still much to explore in terms of Ruby performance on both systems. Stay tuned for more benchmarks, and feel free to drop your suggestions in the comments section. Thanks for tuning in, and catch you in the next one! 🚀


Highlights

  • Intel vs. M1: Unveiling the performance battle between two Mac systems.
  • Rosetta Emulation: Exploring how the M1 performs under Rosetta emulation.
  • Plugged vs. Unplugged: Investigating the impact of power source on Intel performance.
  • Giveaway Announcement: Enter for a chance to win a mechanical keyboard!

FAQs

Q: Why did you choose the Mandelbrot algorithm for benchmarking?

A: The Mandelbrot algorithm is a computationally intensive task that effectively stresses out the system's CPUs, making it ideal for benchmarking purposes.

Q: Are there plans to benchmark other programming languages?

A: Absolutely! We're open to suggestions. Drop your preferred languages in the comments, and we'll consider them for future benchmarking tests.

Q: How do I enter the giveaway?

A: Simply leave a comment on the video and ensure you're subscribed to the channel. Winners will be selected randomly from eligible entries. Good luck!

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