Apple A16 Bionic
E55216
Apple A16 Bionic is a high-performance, energy-efficient system-on-a-chip used in recent iPhone models, featuring advanced CPU, GPU, and neural engine capabilities for demanding mobile tasks.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Apple A16 Bionic canonical | 11 |
| A16 Bionic | 4 |
| A16 Bionic 6‑core CPU | 1 |
| Apple A16 Bionic processor | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T321934 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple A16 Bionic Context triple: [Apple silicon, includesModel, Apple A16 Bionic]
-
A.
Apple A15 Bionic
Apple A15 Bionic is a high-performance, energy-efficient system-on-a-chip used in various Apple devices, featuring advanced CPU, GPU, and neural engine components for enhanced processing and machine learning tasks.
-
B.
Apple A14 Bionic
Apple A14 Bionic is a 5-nanometer ARM-based system-on-a-chip designed by Apple for high-performance, energy-efficient use in iPhones and iPads.
-
C.
Apple A12Z Bionic
Apple A12Z Bionic is an ARM-based system-on-a-chip designed by Apple, notable for powering the 2020 iPad Pro with enhanced CPU and GPU performance for demanding mobile and creative workloads.
-
D.
Apple M2
Apple M2 is a second-generation ARM-based system-on-a-chip designed by Apple that delivers improved performance and efficiency for modern Mac computers and iPads.
-
E.
Apple M1
Apple M1 is Apple’s first in-house ARM-based system-on-a-chip for Macs, known for its high performance and power efficiency compared to previous Intel-based processors.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Apple A16 Bionic Target entity description: Apple A16 Bionic is a high-performance, energy-efficient system-on-a-chip used in recent iPhone models, featuring advanced CPU, GPU, and neural engine capabilities for demanding mobile tasks.
-
A.
Apple A15 Bionic
Apple A15 Bionic is a high-performance, energy-efficient system-on-a-chip used in various Apple devices, featuring advanced CPU, GPU, and neural engine components for enhanced processing and machine learning tasks.
-
B.
Apple A14 Bionic
Apple A14 Bionic is a 5-nanometer ARM-based system-on-a-chip designed by Apple for high-performance, energy-efficient use in iPhones and iPads.
-
C.
Apple A12Z Bionic
Apple A12Z Bionic is an ARM-based system-on-a-chip designed by Apple, notable for powering the 2020 iPad Pro with enhanced CPU and GPU performance for demanding mobile and creative workloads.
-
D.
Apple M2
Apple M2 is a second-generation ARM-based system-on-a-chip designed by Apple that delivers improved performance and efficiency for modern Mac computers and iPads.
-
E.
Apple M1
Apple M1 is Apple’s first in-house ARM-based system-on-a-chip for Macs, known for its high performance and power efficiency compared to previous Intel-based processors.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
ARM-based system-on-a-chip
ⓘ
mobile system-on-a-chip ⓘ |
| announcementDate | 2022-09-07 ⓘ |
| architecture |
ARMv8.6-A
ⓘ
linked to:
ARMv8-A
|
| containsComponent |
5G modem interface
ⓘ
central processing unit ⓘ graphics processing unit ⓘ image signal processor ⓘ neural engine ⓘ secure enclave ⓘ |
| cpuBigCoreCount | 2 ⓘ |
| cpuBigCoreName | Everest ⓘ |
| cpuCoreCount | 6 ⓘ |
| cpuLittleCoreCount | 4 ⓘ |
| cpuLittleCoreName | Sawtooth ⓘ |
| designedFor |
energy efficiency
ⓘ
high performance ⓘ |
| developer | Apple Inc. ⓘ |
| fabricationProcess | 4 nm ⓘ |
| firstAvailabilityYear | 2022 ⓘ |
| foundry | TSMC ⓘ |
| gpuCoreCount | 5 ⓘ |
| manufacturer | Apple Inc. ⓘ |
| marketedAs |
A16 Bionic
ⓘ
linked to:
Apple A16 Bionic
|
| memoryType | LPDDR5 ⓘ |
| neuralEngineCoreCount | 16 ⓘ |
| neuralEngineType | Apple Neural Engine ⓘ |
| platform |
iOS
ⓘ
iPadOS ⓘ |
| predecessor | Apple A15 Bionic ⓘ |
| productFamily |
Apple A series
ⓘ
linked to:
Apple A-series
|
| successor | Apple A17 Pro ⓘ |
| supports |
4K video recording at high frame rates
ⓘ
5G connectivity ⓘ LPDDR5 memory ⓘ ProRes video decoding ⓘ ProRes video encoding ⓘ computational photography ⓘ hardware-accelerated ray tracing ⓘ machine learning acceleration ⓘ |
| targetDeviceType | smartphone ⓘ |
| usedFor |
augmented reality applications
ⓘ
high-resolution photography ⓘ mobile gaming ⓘ video editing on mobile devices ⓘ |
| usedInDevice |
iPhone 14 Pro
ⓘ
iPhone 14 Pro Max ⓘ
linked to:
iPhone 14 Pro
iPhone 15 ⓘ
linked to:
iPhone
iPhone 15 Plus ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Apple A16 Bionic Description of subject: Apple A16 Bionic is a high-performance, energy-efficient system-on-a-chip used in recent iPhone models, featuring advanced CPU, GPU, and neural engine capabilities for demanding mobile tasks.
Referenced by (17)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Apple A16 Bionic
linked to: Apple A16 Bionic
linked to: Apple A16 Bionic
subject linked to:
A17 Pro
linked to: Apple A16 Bionic
linked to: Apple A16 Bionic
linked to: Apple A16 Bionic