SEMICONDUCTOR DESIGN
08 · Phones & PCs

The same 3 nm, three different chips

The 2025–26 flagship phone processors from Apple, Qualcomm and MediaTek are all built on TSMC N3P, so differences come from architecture, not process. The next round moves to 2 nm.

ChipCompanyProcessCPUNotes
A19 ProAppleTSMC N3P6 cores (2P + 4E)Leads single-core Geekbench in most reported tests (iPhone 17 Pro)
Snapdragon 8 Elite Gen 5QualcommTSMC N3P8 cores, custom OryonLeads multi-core in several reported tests
Dimensity 9500MediaTekTSMC N3P8 cores, all-big Arm designClose behind on single-core in early tests
M5AppleTSMC N3PMac / iPadSame generation as A19
A20 / M6AppleTSMC N2 reported—Reports say Apple uses base N2 rather than N2P for cost and capacity reasons
Core Ultra 3 (Panther Lake)IntelIntel 18AHybrid P/E/LP-EFirst PC chip with GAA and backside power

Benchmark results vary by device, cooling and test version (for example AnTuTu v10 vs v11), so treat leaderboards as indicative. Transistor counts for these chips have not all been published.

DEEP DIVEWhat a phone system-on-chip contains

A flagship phone SoC is a complete computer in about 100 mm² of silicon, designed around a power budget of a few watts sustained and short bursts above that.

BlockRole
CPU clusterA mix of big performance cores and small efficiency cores; the scheduler moves work between them to save battery.
GPUGraphics and general-purpose compute; recent generations add hardware ray tracing and matrix units.
NPUA neural accelerator for on-device AI — camera processing, speech, and increasingly small language models.
ISPThe image signal processor turns raw sensor data into photos and video in real time, often fusing several frames.
Modem5G/4G baseband (sometimes a separate chip); Apple has begun shipping its own modems.
Media and display enginesVideo encode/decode, display pipelines with variable refresh rate.
Security enclaveKeys, biometrics and secure boot isolated from the main CPUs.
Memory interfaceLPDDR5X, often stacked on the package to save board space and power.

POWERDesigning for a few watts

A phone has no fan, so sustained performance is limited by how much heat its glass and metal body can shed — roughly 3–6 W. Designers therefore optimise performance per watt above all: wide but slower-clocked cores, many voltage and power domains, aggressive clock and power gating, and dedicated accelerators that do a task at a fraction of the CPU's energy. Peak benchmark scores often reflect short bursts before thermal throttling.

WHY SAME NODE, DIFFERENT RESULTSArchitecture matters

Apple, Qualcomm and MediaTek all used TSMC N3P in their 2025 flagships, yet results differ because of design choices: Apple's very wide cores with large caches favour single-thread speed; Qualcomm's custom Oryon cores and MediaTek's all-big-core Arm designs favour multi-core throughput. Cache sizes, memory latency, GPU design and software tuning decide the rest.

PCSThe laptop chip shift

Apple M seriesUnified memory shared by CPU, GPU and NPU; Max and Ultra versions scale up with more GPU cores and dies joined by UltraFusion.
Qualcomm Snapdragon XArm-based Windows laptops with Oryon cores and an NPU for on-device AI features.
Intel Core UltraTile-based designs; Panther Lake (2026) uses an 18A compute tile with RibbonFET and PowerVia.
AMD Ryzen AIx86 cores with an integrated NPU; large "Strix Halo" parts add a big GPU and wide memory for local AI.

ON-DEVICE AIWhy NPUs and memory bandwidth matter

Running a language model on a device is limited mostly by memory: every generated token reads the model's weights, so a 3-billion-parameter model at 4-bit precision needs roughly 1.5 GB read per token. LPDDR5X bandwidth (tens to about a hundred GB/s on phones, several hundred GB/s on large laptop chips) therefore sets generation speed more than NPU TOPS. Quantisation, smaller models and speculative decoding — the same techniques described on the GPU optimization page — apply on devices too.