Applications
Where AI is actually being used: products, industries, and the work it changes.
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Snapdragon 8 Gen 2
First Snapdragon with INT4 support. The precision floor dropped, which is what later enabled on-device LLM work.
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Snapdragon 8 Gen 3
Qualcomm’s peak disclosure: an explicit parameter ceiling and token rate against a named model. Neither successor repeated it.
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Snapdragon 8 Gen 1
A wider tensor accelerator for camera and voice AI, with no transformer or generative capability in view.
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Apple A19 Pro
The first A-series where Apple’s headline AI number describes the GPU rather than the Neural Engine.
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Apple A20 Pro
Apple’s first 2nm phone chip and its first dual-NPU design, with 50 per cent more memory bandwidth, which matters more for model…
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Apple A18 Pro
The genuine change was memory bandwidth, which Apple tied directly to Apple Intelligence latency rather than to Neural Engine throughput.
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Apple A19
The architectural shift: AI matrix acceleration moves into every GPU core rather than the NPU carrying generative work alone.
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Apple A18
The Neural Engine was explicitly re-tuned for large generative models, but Apple benchmarked it against the A16, not the A17 Pro.
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Apple A16 Bionic
A marginal Neural Engine step. The real A16 story was imaging and display, not AI.
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Apple A17 Pro
The industry’s first 3nm phone chip, and the first A-series for which Apple published no operations-per-second figure at all.
