Apple A15 Bionic
E54942
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.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Apple A15 Bionic canonical | 11 |
| A15 Bionic | 1 |
| Apple A13 Lightning core family | 1 |
| Apple A15 Bionic processor | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T321933 — 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 A15 Bionic Context triple: [Apple silicon, includesModel, Apple A15 Bionic]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Apple M3
Apple M3 is a generation of Apple-designed ARM-based system-on-a-chip processors that power newer Mac computers, offering improved performance and energy efficiency over its predecessors.
- 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 A15 Bionic Target entity description: 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.
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Apple M3
Apple M3 is a generation of Apple-designed ARM-based system-on-a-chip processors that power newer Mac computers, offering improved performance and energy efficiency over its predecessors.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
ARM-based processor
ⓘ
mobile system-on-a-chip ⓘ |
| announcementDate | 2021-09-14 ⓘ |
| architecture |
ARMv8.5-A
ⓘ
linked to:
ARMv8-A
|
| cpuBigCoreCodename |
Avalanche
ⓘ
linked to:
Avalanche and Blizzard
|
| cpuBigCoreCount | 2 ⓘ |
| cpuCoreCount | 6 ⓘ |
| cpuLittleCoreCodename | Blizzard ⓘ |
| cpuLittleCoreCount | 4 ⓘ |
| designer | Apple Inc. ⓘ |
| firstUsedInDevice |
iPhone 13
ⓘ
iPhone 13 mini ⓘ |
| gpuCoreCount |
4
ⓘ
5 ⓘ |
| integrates |
CPU
ⓘ
GPU ⓘ Neural Engine ⓘ
linked to:
Apple Neural Engine
image signal processor ⓘ video decoder ⓘ video encoder ⓘ |
| manufacturer | TSMC ⓘ |
| marketedAs |
A15 Bionic
ⓘ
linked to:
Apple A15 Bionic
|
| neuralEngineCoreCount | 16 ⓘ |
| neuralEnginePerformance | 15.8 trillion operations per second ⓘ |
| notableFeature |
advanced machine learning capabilities
ⓘ
energy efficiency ⓘ high performance per watt ⓘ |
| predecessor | Apple A14 Bionic ⓘ |
| processNode |
5 nm
ⓘ
N5P ⓘ |
| successor | Apple A16 Bionic ⓘ |
| supports |
5G connectivity
ⓘ
computational photography ⓘ machine learning acceleration ⓘ |
| targetDeviceType |
set-top box
ⓘ
smartphone ⓘ tablet ⓘ |
| transistorCount | 15 billion ⓘ |
| usedInDevice |
Apple TV 4K (3rd generation)
ⓘ
linked to:
Apple TV
iPad mini (6th generation) ⓘ iPhone 13 ⓘ iPhone 13 Pro ⓘ iPhone 13 Pro Max ⓘ
linked to:
iPhone 13 Pro
iPhone 13 mini ⓘ iPhone 14 ⓘ iPhone 14 Plus ⓘ
linked to:
iPhone 14
iPhone SE (3rd generation) ⓘ |
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 A15 Bionic Description of subject: 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.
Referenced by (14)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Apple A15 Bionic
linked to: Apple A15 Bionic
linked to: Apple A15 Bionic