Can the processor do it?
We verify only specific chip generations with first-party evidence. New Snapdragon Gen 6 chips are marked capable; generic Tensor or Dimensity labels stay unverified until the exact generation is added.
On-device AI · evidence checked 28 Sep 2026No API · runs in your browser
Can my phone run AI locally?
Check the parts that actually decide the answer: silicon capability, device-level runtime support, operating system, RAM and whether the target feature is really local or cloud-backed. A powerful chip alone is not a phone-level promise.
Check your local AI path
Choose what you actually know. “Not sure” is safer than turning a chipset announcement into a feature claim.
Not enough data
This is a capability screen, not a benchmark. Thermals, memory bandwidth, context length, quantization, OEM software and app implementation can still change real performance.
Evidence layers01 · Silicon 02 · Runtime 03 · Workload 04 · Memory
Four questions before you call AI “local”
Can this phone expose a local path?
Android AICore, Apple Foundation Models or a documented third-party runtime are stronger evidence than a chipset marketing page.
Is it the same kind of AI?
A managed system model does not prove that an arbitrary downloadable 7B model can be loaded. The checker keeps those paths separate.
Do the weights obviously overwhelm RAM?
For local models, we estimate weight memory from parameters × bits. We only flag obvious RAM pressure; passing that guard is not a performance guarantee.
Current evidence22 Sep 2026 Android Apple
What is verified right now
Snapdragon 8 Elite Gen 6
Qualcomm launched both Gen 6 flagship platforms with on-device intelligence and named multiple incoming OEMs. That proves silicon capability, not support on every future phone.
Read the evidence →Android AICore
Google documents AICore for Android 14+ and explicitly says feature availability varies by device and manufacturer.
Check the runtime layer →Foundation Models
Apple documents an on-device SystemLanguageModel and third-generation on-device foundation models. Supported-device/runtime evidence still matters.
Read the Apple path →Trying to load your own model?
Local LLM RAM guideUse the weight-memory screen and read why 7B parameters does not translate into one universal RAM requirement.
FAQ
Phone AI compatibility questions
Does Snapdragon 8 Elite Gen 6 mean every phone with it runs the same local AI features?
No. The chipset can provide the compute path while the OEM decides software, model packaging, runtime access and product features. That is why the checker can return “chip capable · phone unconfirmed.”
Is Android AICore the same as any local LLM app?
No. AICore is Google’s system service for managed on-device models such as Gemini Nano. A third-party local model runtime can have different model formats, OS requirements and memory behavior.
Why does the local-model check use model weights instead of a fixed 8 GB or 12 GB rule?
Because parameter count and quantization materially change the weight footprint. The tool estimates weights first and flags only obvious pressure when those weights alone exceed 60% of total device RAM.
Will a green result guarantee speed?
No. A local runtime path and enough obvious memory headroom do not guarantee tokens per second, sustained thermals, battery life, context length or multimodal performance.
Primary sources
- Qualcomm — Snapdragon 8 Elite Gen 6 launch, 22 Sep 2026 ↗
- Google Android Help — Android AICore ↗
- Apple Developer — Foundation Models updates ↗
- Apple ML Research — third-generation Apple Foundation Models ↗
Last evidence review: 28 September 2026. Device Fit Check is independent and does not imply endorsement by any platform or chip vendor.