When Apple announced the MacBook Neo on March 4, 2026, the first outcry was predictable: an iPhone chip in a Mac? The A18 Pro, which Apple previously used in the iPhone 16 Pro and Pro Max, is now available in a 599-dollar laptop. Nearly three months after launch and after Apple doubled production to 10 million units due to higher-than-expected demand, detailed test reports have emerged. They show what the concept actually delivers and where it hits physical limits.
Why Apple puts an iPhone chip in a MacBook
Apple's M-chips, standard in MacBooks and Mac desktops since 2020, are engineered for performance and endurance. The A18 Pro, by contrast, was designed for the iPhone: compact, optimized for efficiency and battery life, with a 16-core Neural Engine that specializes in AI calculations. According to Apple's MacBook Neo announcement, the company relies on precisely this Neural Engine to run Apple Intelligence completely on-device, without sending data to the cloud.
Price is the decisive factor. The cheapest MacBook Air with M5 costs 1,099 dollars; the MacBook Neo starts at 599 dollars, 499 dollars for students. Apple is opening a price segment where MacBooks couldn't compete before. Supply-chain analyst Ming-Chi Kuo reported that Apple doubled production targets from 5 to 10 million units after early demand vastly exceeded expectations.
What Apple Intelligence does in daily use
The A18 Pro's Neural Engine is, by Apple's own measurements, up to three times faster at AI tasks than a comparably priced laptop with Intel Core Ultra 5. What this means in practice, test reports from Macworld and Tom's Hardware consistently show: Apple Intelligence runs without perceptible lag. Writing Tools that rephrase or summarize text, image editing with automatic masking, Siri queries with local language models, and notification summaries all work smoothly, without wait times or internet connection.
That's the decisive difference from Windows laptops with NPUs from Qualcomm, Intel, or AMD. Over the past year, manufacturers have announced NPU values of 50 to 80 TOPS and promised that applications would follow. Applications are arriving slowly: Microsoft itself has configured several Windows features for NPU execution, including live captions and video-conference effects. But broad ecosystem support is missing. Apple controls the chip, the operating system, and the AI platform in one hand. Windows manufacturers distribute this responsibility across three different companies.
The privacy advantage sharpens the difference. Apple Intelligence processes requests locally. For professions that cannot send data to cloud services, that's a structural argument. That it works on a 599-dollar device is new.
Where the concept hits its limits
Tom's Hardware measured in a sustained load test that CPU performance under full load dropped by up to sixty-four percent within fifteen seconds. The reason: the MacBook Neo has no fan. Heat dissipation happens passively through the aluminum case. On short bursts the A18 Pro runs at high performance, but on sustained tasks like 4K video editing or large codebase compilation, it throttles significantly. A MacBook Air M2 completes the same 4K task faster in this scenario.
The second problem is RAM. Apple installs eight gigabytes of unified memory as the default configuration; sixteen gigabytes are unavailable. The Gadgeteer found after sixty days of daily use that the system regularly paged to SSD swap with just four apps open simultaneously: Safari, Mail, Messages, and photo editing. SSD swaps noticeably slow response times. The MacBook Neo is not a device for heavy multitasking.
Another criticism concerns purchase motivation. Analysts tracking demand find that buyers choose the MacBook Neo for price, design, and the Apple ecosystem, not AI features. Apple Intelligence is for most users not a purchase driver but a welcome bonus. That changes nothing about the fact that it works. But it relativizes the Neural Engine's importance as a sales argument.
What the MacBook Neo means for the NPU market
The most important lesson the MacBook Neo offers the NPU market is not technical but systemic. The 16-core Neural Engine of the A18 Pro is not the most powerful NPU on the market. Qualcomm's Snapdragon X2 achieves 80 TOPS by manufacturer specs; the A18 Pro matches that by independent benchmarks. The difference is integration: Apple supplies chip, operating system, and AI platform from one source; developers develop for one architecture and features work from day one.
Windows manufacturers solve the same problem with multiple players: chip makers (Qualcomm, Intel, AMD), operating system (Microsoft), and application developers coordinate through industry standards, not central control. That's slower and more error-prone. It's the same structural difference Apple has exploited for years on iPhone versus Android, now transferred to the laptop market.
Apple's next challenge: RAM and cooling
The MacBook Neo proves that the concept of an affordable, AI-capable laptop fundamentally works. For a second generation MacBook Neo, Apple would need to change two things above all: offer sixteen gigabytes of RAM as standard and develop a cooling solution that handles sustained loads better. An A19 Pro chip, expected in iPhone lineup for 2027, should be more efficient and could mitigate throttling. Whether Apple brings a successor in 2027 or continues with the A18 Pro, the company hasn't commented.
For buyers seeking an affordable MacBook for school, university, or light office work and getting Apple Intelligence as a bonus, the MacBook Neo today is the obvious choice in its price range. For anyone regularly handling heavy workloads, the MacBook Air with M-chip remains the better device, even at nearly double the price.