← Back to blog
Essay No. 047  ·  AI Infrastructure  ·  Melbourne, Australia
Semiconductors Apple Silicon AI Infrastructure A15 A17 Pro A18 A19 A19 Pro CPUs GPUs Neural Engine TSMC ASML Nuvia Rivos

Apple Silicon After the CPU Era.Original analysisNot investment advice

In 2021, Apple’s A15 looked like a warning sign. In 2026, the verdict is clearer: CPU gains slowed, but Apple moved the battleground to the whole chip.
PM
Pugalenthi Magendran
May 2026  ·  Melbourne, Australia
13 min read

For most of the last decade, the Apple Silicon story was simple. Each year, the new iPhone shipped with a chip that was meaningfully faster on the CPU benchmarks people argued about on the internet. Single-thread leadership was a marketing pillar. Then in 2021, the A15 broke the rhythm. The CPU was excellent but the year-on-year jump looked unusually small. A widely read piece argued that the brakes were already on, that Apple had moved silicon budget away from CPU cores, and that the engineers behind the great years had left for Nuvia and Rivos. Five years later, the verdict is more interesting than either “Apple is fine” or “Apple is finished”.

The 2021 piece was directionally right that easy yearly CPU leaps were ending. It was incomplete in concluding that Apple’s silicon edge would erode in step. What actually happened is that Apple stopped competing primarily on CPU and started competing on the entire chip: GPU, Neural Engine, image and media engines, memory bandwidth, cache, thermals, and the operating system that knows how to use all of them. The CPU kept improving. It just stopped being the whole story.

Apple’s CPU gains did not die. They became less spectacular, less isolated, and less important than the system around them.


1. Why A15 looked like a warning sign

The setup, in 2021, was that Apple had trained the market to expect obvious year-on-year CPU jumps. The A15 still shipped a strong chip, but the CPU uplift looked unusually small relative to prior Apple cadence. The uploaded SemiAnalysis article framed the move as a redirection of silicon budget away from CPU cores and toward the rest of the system.1

The argument was anchored in a small number of structural changes that were not, in themselves, controversial.

Notes from the uploaded 2021 piece
  • A15 retained the 2 performance + 4 efficiency CPU configuration of the A14.
  • GPU was 4-core in regular variants and 5-core in Pro and iPad Mini variants.
  • Neural Engine became 16-core at 15.8 TOPS, up from 11 TOPS on A14.
  • System Level Cache reportedly doubled to ~32MB.
  • Transistor count moved from ~11.8B on A14 to ~15B on A15.
  • Early benchmarks the article cited showed roughly 7.7% single-thread and 9.3% multi-thread uplift from A14 to A15, close to a clock-rate-only improvement.
  • The article connected the apparent CPU plateau to Apple CPU talent departures to Nuvia and Rivos.

You can read those changes two ways. The bearish reading is the one the article emphasised: a thinner architectural CPU change, a benchmark uplift close to the clock-rate delta, and a transistor budget pointed at GPU, ISP, media, display, and neural blocks instead of a major CPU redesign. The neutral reading is that 2021 was the first year Apple openly traded CPU front-page numbers for a fatter system-level chip. The piece was directionally right in calling the slowdown. It is the second reading that ages well.

It is also worth being careful with the benchmarks themselves. The 7.7% / 9.3% figures came from early Geekbench-class samples. User-submitted benchmark averages are useful for trend, not for surgical claims about microarchitecture.11


2. What actually happened after A15

If A15 was the year the cadence broke, A17 Pro through A19 Pro is the period that resolves the argument. The CPU kept gaining, but the loudest year-on-year numbers Apple now puts on stage are no longer about the CPU.

Two patterns inside that timeline matter more than any single chip.

First, the GPU and Neural Engine became the loud parts of the story. A17 Pro headlined a GPU redesign and ray tracing. A18 headlined Apple Intelligence with a much faster Neural Engine. A19 Pro put neural accelerators in every GPU core for local LLM workloads. The CPU still gets percentage gains in Apple’s press copy, but it is no longer the protagonist.

Second, the comparisons stretched out. Apple began comparing A19 to A15, not to last year’s part. The honest read is that single-year, single-thread CPU gains compress as the field matures. Multi-year gains still compound. Both can be true.

The CPU kept improving. But it stopped being the whole story.


3. The battlefield moved from CPU to system silicon

The reason the 2021 framing aged unevenly is that Apple did not stop investing. It re-allocated. A modern Apple chip is a coordinated system, not a CPU with peripherals. The CPU is one block among several, and increasingly not the one that determines whether a feature is plausible on-device.

This is not a story unique to Apple. The whole industry has shifted toward accelerator-heavy SoCs. Apple just had a head start, vertical integration across hardware and OS, and a willingness to spend silicon on blocks that do not show up cleanly on a CPU benchmark. The CPU era was about IPC and clock speeds. The system silicon era is about which workloads you can run on device without phoning the cloud.

CPU era

What used to win the argument

  • Big yearly single-thread IPC jumps
  • CPU benchmarks as the marketing pillar
  • Process shrinks doing much of the work
  • Peak performance front and centre
  • A clean line from architecture to user experience
  • One chip vendor, one number, one story
System Silicon era

What wins the argument now

  • GPU, NE, ISP, media gains compound across years
  • Memory bandwidth and cache feed the accelerators
  • Sustained performance beats peak performance
  • Thermals are part of the silicon argument
  • OS and developer frameworks decide what the chip can do
  • On-device AI capability is the product feature

Looked at this way, the 2021 article was correct that Apple was redirecting silicon budget. It was wrong only if you assumed CPU front-page numbers were the only currency Apple cared about. The currency had already changed.


4. The manufacturing backdrop

None of this happened in isolation. The reason every leading-edge chip designer has shifted toward accelerator-heavy systems is that the foundry side of the industry has changed underneath them. Easy node shrinks are gone. Process improvements still exist, but each step is harder, more expensive, and less automatic.

The shorthand for that shift, on the leading edge, is three letters at a time. EUV stands for extreme ultraviolet lithography, the wavelength tooling that made the 5nm and 3nm generations economical. High-NA is the next generation of EUV with a wider lens, currently being matured for high-volume manufacturing. Nanosheet transistors replace FinFETs at 2nm and below. 3D integration, which includes stacking and advanced packaging, is the industry’s answer to the limits of pure 2D scaling.

The contours are public. TSMC says its N2 family entered volume production in the fourth quarter of 2025 and uses first-generation nanosheet transistor technology.7 Its 3nm family covers N3, N3E and N3P with incremental power, performance and density improvements.8 ASML’s 2026 AGM framing is the part that matters for this essay: Moore’s Law alone is not sufficient to meet future AI training compute needs, and the future is framed as 2D scaling plus 3D integration.9 ASML’s Q4 FY2025 deck adds the supply-side line: AI demand for compute density and high-bandwidth memory is growing faster than overall semiconductor sales, EUV capacity has grown strongly, the NXE:3800E has reached 230 wafers per hour, and High-NA systems are being matured for high-volume manufacturing requirements by end of 2026 with insertion in 2027 to 2028.10

None of those numbers prove anything specific about Apple’s chip, and you should not let them. What they do explain is the climate. In a world where 2D scaling is harder and more expensive, the chip designer who allocates budget across the full system gains relative to the chip designer who keeps pouring silicon into the same CPU core. Apple was early to that re-allocation. The 2021 piece called it a CPU slowdown. The honest 2026 reframing is that the industry it was set inside had moved.


5. The Nuvia and Rivos warning aged better than expected

The piece’s second argument was about talent. Apple’s star CPU engineers left for Nuvia and Rivos. The piece treated those departures as a CPU roadmap risk for Apple. That part is more interesting than it first looked.

Qualcomm completed its acquisition of Nuvia for around USD 1.4B in 2021.12 The Nuvia CPU work became central to Qualcomm Oryon, which Qualcomm now positions as the core in the Snapdragon X Series for PCs and the Snapdragon 8 Elite for phones.13 Rivos became part of the RISC-V AI infrastructure story. Reuters reported Rivos raising about USD 250M to develop RISC-V AI chips,14 and later reported that Meta planned to buy Rivos to strengthen its internal semiconductor work.15

What this adds up to is not that Apple collapsed. It is that the brain drain helped seed a generation of custom-silicon competitors outside Apple. Qualcomm now has a credible PC CPU thanks to ex-Apple-and-Nuvia talent. Meta is buying an AI-chip company built by ex-Apple engineers. The 2021 piece treated the exodus as Apple’s problem. With distance, it looks more like a problem for everyone who used to compete with Apple without one.

The brain drain did not destroy Apple. It did help seed the next generation of custom silicon competitors.


6. Evidence ledger

Because this essay sits between a 2021 thesis and a 2026 reading, the source layer matters. The ledger below pairs each load-bearing claim with a primary source and a one-line note on why it matters.

Evidence ledger · claim · source · why it matters
ClaimSourceWhy it matters
A15 single-thread uplift ~7.7%, multi-thread ~9.3% from A14, close to clock-rate gain.SemiAnalysis 2021 (uploaded)1Anchors the 2021 “CPU slowdown” reading. Treat as directional, not surgical.
A15 system cache doubled to ~32MB; transistor count ~15B vs ~11.8B on A14.SemiAnalysis 2021 (uploaded)1Shows transistor budget moving toward system blocks even when the CPU looked flat.
A17 Pro was the first 3nm iPhone chip; biggest GPU redesign in Apple history; NE up to 2x faster.Apple Newsroom, Sept 20232First post-A15 generation where GPU and NE became the headline, not the CPU.
A18 6-core CPU 30% faster than A16 at the same workload using 30% less power; GPU up to 40% faster than A16.Apple Newsroom, Sept 20243CPU still gaining, but framed across two generations and paired with bigger GPU and NE numbers.
A18 Pro emphasised Apple Intelligence, 16-core NE, and on-device LLM workloads.Apple Newsroom, Sept 20244Confirms NE and on-device AI as the new front line.
A19 6-core CPU 1.5x faster than A15; 5-core GPU more than 2x faster than A15.Apple Newsroom, Sept 20255CPU and GPU now diverge across multi-year frames. GPU gains compound faster.
A19 Pro: vapor chamber, neural accelerators in every GPU core, ~40% better sustained performance.Apple Newsroom, Sept 20256Thermals and packaging are now part of the silicon argument, not external to it.
TSMC N2 entered volume production in 4Q25 using first-gen nanosheet transistors.TSMC, 2nm page7Each new node is harder; nanosheets are the first major transistor structure change at the leading edge in years.
3nm family (N3, N3E, N3P) ships incremental PPA improvements.TSMC, 3nm page8Confirms the “long tail of one node” pattern Apple is shipping on.
Moore’s Law alone not sufficient for future AI training compute; future is 2D scaling + 3D integration.ASML 2026 AGM9Frames why every leading-edge designer is investing in accelerators and packaging at the same time.
EUV capacity grown strongly; NXE:3800E reached 230 wph; High-NA HVM-ready by end of 2026 with insertion in 2027-2028.ASML Q4 FY202510The lithography ladder Apple-class chips climb onto. Limits and pace are now structural.
Qualcomm completed Nuvia acquisition for ~USD 1.4B in 2021; Oryon is the CPU core in Snapdragon X / 8 Elite.Qualcomm IR / Oryon page1213Ex-Apple/Nuvia talent now powers a real PC and phone competitor.
Rivos raised ~USD 250M for RISC-V AI chips; Reuters reported Meta planned to buy Rivos.Reuters1415Apple’s alumni are seeding the next layer of AI silicon outside Apple.

7. The verdict

The original A15 warning was right about the end of easy annual CPU leaps. It was wrong only if read as “Apple is finished”. Apple’s advantage did not disappear. It moved. The modern Apple chip is a coordinated system of CPU, GPU, Neural Engine, ISP, media engines, memory, cache, thermals, software frameworks, and product-level integration. Each of those blocks gains less attention than a clean “X% faster” CPU number. Together, they decide which features ship on device at all.

The Nuvia and Rivos warning aged better than its CPU framing alone. The brain drain mattered, not because Apple collapsed, but because ex-Apple talent helped seed credible custom-silicon competition outside Apple. Qualcomm has a real PC CPU. Meta is buying an AI chip company. That is not the failure of Apple Silicon. It is the success of the playbook that built it.

The honest 2026 statement is short.

Apple’s CPU gains did not die. They became less spectacular, less isolated, and less important than the system around them.


Sources & footnotes

This essay treats the uploaded 2021 SemiAnalysis article as a cited historical anchor. Specific claims about modern Apple chips are sourced from Apple Newsroom press releases. Industry framing is sourced from TSMC technology pages and ASML investor and AGM material. Competitor and talent claims are sourced from Qualcomm investor materials and Reuters reporting. No third-party charts, screenshots, or logos are reproduced. This is not investment advice.

Original 2026 analysis. The 2021 SemiAnalysis piece is used as a cited historical anchor for the “A15 CPU slowdown” framing, restated here in original wording. Performance figures from Apple Newsroom are company claims, not independent measurement. Geekbench-class data is treated as directional, not surgical. No specific Apple, Qualcomm, Meta, TSMC, or ASML security is being recommended.

1 Uploaded SemiAnalysis PDF, Dylan Patel (SemiAnalysis), September 2021. Apple CPU Gains Grind To A Halt And The Future Looks Dim As The Impact From The CPU Engineer Exodus To Nuvia And Rivos Starts To Bleed In. Used here only as a cited historical anchor, framed in this essay’s own words. The article: argued early A14-to-A15 single-thread CPU uplift was around 7.7%, with ~9.3% multi-thread, close to a clock-rate-only delta; noted A15 retained the 2P+4E CPU configuration; noted GPU at 4 cores in regular variants and 5 cores in Pro / iPad Mini variants; cited ~32MB System Level Cache (doubled from A14); cited transistor count rising from ~11.8B on A14 to ~15B on A15; argued silicon budget had moved toward GPU, ISP, media, display, cache, and Neural Engine; connected the apparent CPU plateau to engineering departures to Nuvia and Rivos. No SemiAnalysis text, charts, screenshots, or images from the PDF are reproduced.

2 Apple Newsroom (September 2023). Apple unveils iPhone 15 Pro and iPhone 15 Pro Max. Used for: A17 Pro as the first 3nm iPhone chip; CPU described as up to 10% faster; biggest GPU redesign in Apple history and hardware-accelerated ray tracing; Neural Engine described as up to 2x faster.

3 Apple Newsroom (September 2024). Apple introduces iPhone 16 and iPhone 16 Plus. Used for: A18 6-core CPU described as up to 30% faster than A16 at the same workload using 30% less power; GPU described as up to 40% faster and 35% more efficient than A16; Apple Intelligence framing.

4 Apple Newsroom (September 2024). Apple debuts iPhone 16 Pro and iPhone 16 Pro Max. Used for: A18 Pro positioning, Apple Intelligence focus, 16-core Neural Engine framing, on-device LLM workloads.

5 Apple Newsroom (September 2025). Apple introduces iPhone 17. Used for: A19 6-core CPU described as 1.5x faster than A15; 5-core GPU described as more than 2x faster than A15.

6 Apple Newsroom (September 2025). Apple unveils iPhone 17 Pro and iPhone 17 Pro Max. Used for: A19 Pro framing, up to 40% better sustained performance, vapor chamber cooling, neural accelerators in each GPU core, larger cache, more memory, on-device LLM workloads.

7 TSMC. 2nm technology page. Used for: N2 entering volume production in 4Q25 and using first-generation nanosheet transistor technology.

8 TSMC. 3nm technology page. Used for: the N3, N3E, N3P family and incremental power, performance, and density improvements within the 3nm node.

9 ASML. 2026 AGM presentation. Used for: ASML’s framing that Moore’s Law alone is not sufficient to meet future AI training compute needs and that the future is 2D scaling plus 3D integration.

10 ASML. Q4 FY2025 press conference deck. Used for: AI demand for compute density and high-bandwidth memory growing faster than overall semiconductor sales; EUV capacity growth; NXE:3800E reaching 230 wph; High-NA being matured for HVM requirements by end of 2026 with insertion 2027 to 2028.

11 Geekbench. iOS benchmark browser. Used for trend-level context only. User-submitted benchmark averages are directional, not laboratory-grade evidence of microarchitectural claims.

12 Qualcomm Investor Relations (March 2021). Qualcomm Completes Acquisition of NUVIA. Used for: Qualcomm closing the Nuvia acquisition for around USD 1.4B.

13 Qualcomm. Oryon CPU page. Used for: Qualcomm framing Oryon as the CPU core that powers Snapdragon X Series for PCs and Snapdragon 8 Elite for phones.

14 Reuters (April 2024). Startup Rivos raises $250 million to develop RISC-V AI chips. Used for: Rivos’s funding round and its positioning as a RISC-V AI infrastructure company.

15 Reuters (September 2025). Meta to buy chip startup Rivos for AI effort. Used for: Reuters reporting that Meta planned to buy Rivos to strengthen its internal semiconductor work.

Read next on this site