The MacBook Pro with the M4 chip, particularly the M4 Pro and M4 Max models, offers significant improvements in handling AI-intensive tasks compared to the 16-inch MacBook Pro with an Intel Core i9 processor. Here's a detailed breakdown of how the M4 GPU handles these tasks:
M4 GPU Capabilities
1. Performance and Architecture: The M4 GPU is integrated into the M4 processor and features advanced graphics architecture with support for modern technologies like ray tracing and mesh shading. It has direct access to fast on-package LPDDR5x-7500 RAM, providing a bandwidth of 120 GB/s, which is crucial for AI workloads that require high memory bandwidth[3][4].
2. AI Acceleration: The M4 chip includes a powerful Neural Engine, which is significantly faster than its predecessors. For instance, the Neural Engine in the M4 is over three times more powerful than in the M1, making it highly efficient for AI-based tasks such as machine learning and neural network computations[1][4]. This acceleration is particularly beneficial for applications that utilize Apple's AI frameworks.
3. Comparison to Intel Core i9: The 16-inch MacBook Pro with an Intel Core i9 processor relies on integrated Intel graphics or a discrete GPU, which, while powerful, may not match the efficiency and integration of Apple's M4 chip for AI tasks. The M4's Neural Engine and GPU work together to provide a seamless experience for AI-intensive applications, often outperforming Intel-based systems in tasks like video processing and image recognition[4][6].
4. Real-World Performance: In real-world scenarios, the M4 GPU can handle demanding AI workloads efficiently. For example, video processing in Topaz Video AI is up to 30.8 times faster on the M4 MacBook Pro compared to the Intel Core i9 MacBook Pro[4]. This is due to the optimized integration of the GPU and Neural Engine in the M4 chip.
5. Limitations: While the M4 GPU is powerful, it still faces challenges with games and applications not optimized for Apple Silicon. Many games require emulation layers, which can lead to performance issues or visual artifacts[3]. However, for AI-intensive tasks that are optimized for Apple's ecosystem, the M4 GPU provides superior performance.
Conclusion
The MacBook Pro with the M4 chip, especially the M4 Pro and M4 Max models, offers a significant advantage over the 16-inch MacBook Pro with an Intel Core i9 in handling AI-intensive tasks. The combination of a powerful Neural Engine and advanced GPU architecture makes it ideal for tasks like video processing, machine learning, and other AI-driven applications. However, its performance in non-optimized games and certain GPU-intensive tasks may vary.
Citations:[1] https://www.apple.com/newsroom/2025/03/apple-introduces-the-new-macbook-air-with-the-m4-chip-and-a-sky-blue-color/
[2] https://www.pcmag.com/news/apples-macbook-air-laptops-get-m4-chips-and-a-surprising-price-cut
[3] https://www.notebookcheck.net/Apple-M4-10-core-GPU-Benchmarks-and-Specs.835807.0.html
[4] https://www.apple.com/newsroom/2024/10/new-macbook-pro-features-m4-family-of-chips-and-apple-intelligence/
[5] https://www.theverge.com/24319419/apple-macbook-pro-m4-max-pro-review-price-specs
[6] https://www.askwoody.com/forums/topic/macbook-air-m1-beats-16-macbook-pro-i9-in-performance/
[7] https://www.reddit.com/r/macbookpro/comments/1h2elte/help_me_i9_vs_m4/
[8] https://community.topazlabs.com/t/be-prepared-for-m4-disappointment/80891
[9] https://browser.geekbench.com/macs/macbook-pro-16-inch-late-2019-intel-core-i9-9880h-2-3-ghz-8-cores
[10] https://www.youtube.com/watch?v=0N-Faw7f9H8
[11] https://jasontaylor.blog/2025/01/13/m4-macbook-pro-max-benchmarks/