A11 Bionic
E737728
A11 Bionic is Apple's custom 64-bit ARM-based system-on-a-chip introduced with the iPhone 8 and iPhone X, featuring a neural engine for machine learning tasks and significant performance and efficiency improvements over its predecessors.
All labels observed (1)
| Label | Occurrences |
|---|---|
| A11 Bionic canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8415059 — 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: A11 Bionic Context triple: [Apple A11 Bionic, marketedAs, A11 Bionic]
-
A.
Apple A12X Bionic
Apple A12X Bionic is a high-performance 64-bit ARM-based system-on-a-chip designed by Apple for its iPad Pro lineup, featuring powerful CPU and GPU capabilities optimized for demanding mobile computing and graphics tasks.
-
B.
Apple A16 Bionic
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.
-
C.
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.
-
D.
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.
-
E.
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.
- 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: A11 Bionic Target entity description: A11 Bionic is Apple's custom 64-bit ARM-based system-on-a-chip introduced with the iPhone 8 and iPhone X, featuring a neural engine for machine learning tasks and significant performance and efficiency improvements over its predecessors.
-
A.
Apple A12X Bionic
Apple A12X Bionic is a high-performance 64-bit ARM-based system-on-a-chip designed by Apple for its iPad Pro lineup, featuring powerful CPU and GPU capabilities optimized for demanding mobile computing and graphics tasks.
-
B.
Apple A16 Bionic
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.
-
C.
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.
-
D.
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.
-
E.
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.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf | mobile system-on-a-chip ⓘ |
| architecture | 64-bit ARM ⓘ |
| bigCoreCount | 2 ⓘ |
| brandName | Bionic NERFINISHED ⓘ |
| CPUCoreTypeBig | Monsoon high-performance core ⓘ |
| CPUCoreTypeLittle | Mistral efficiency core ⓘ |
| designer | Apple Inc. NERFINISHED ⓘ |
| fabricationFoundry | TSMC NERFINISHED ⓘ |
| firstUsedInDevice |
iPhone 8
NERFINISHED
ⓘ
iPhone 8 Plus NERFINISHED ⓘ iPhone X NERFINISHED ⓘ |
| focus |
energy efficiency improvement over A10 Fusion
ⓘ
performance improvement over A10 Fusion ⓘ |
| GPUCoreCount | 3 ⓘ |
| GPUDesigner | Apple Inc. NERFINISHED ⓘ |
| hasComponent |
Apple-designed GPU
NERFINISHED
ⓘ
Neural Engine NERFINISHED ⓘ image signal processor ⓘ memory controller ⓘ motion coprocessor ⓘ secure enclave ⓘ |
| hasCPUCore |
Mistral
NERFINISHED
ⓘ
Monsoon NERFINISHED ⓘ |
| instructionSet | ARMv8-A NERFINISHED ⓘ |
| introductionDate | September 2017 ⓘ |
| littleCoreCount | 4 ⓘ |
| market | smartphones ⓘ |
| neuralEngineUseCase |
Animoji tracking
ⓘ
Face ID processing ⓘ machine learning tasks ⓘ |
| packageType | system-on-a-chip ⓘ |
| predecessor | Apple A10 Fusion NERFINISHED ⓘ |
| processNode | 10 nm FinFET ⓘ |
| successor | Apple A12 Bionic NERFINISHED ⓘ |
| supports |
1080p slow-motion video at 240 fps
ⓘ
4K video recording at 60 fps ⓘ HEVC hardware decoding ⓘ HEVC hardware encoding ⓘ Metal 2 NERFINISHED ⓘ augmented reality workloads ⓘ |
| targetPlatform | iOS NERFINISHED ⓘ |
| totalCPUCoreCount | 6 ⓘ |
| transistorCount | 4.3 billion ⓘ |
| usedInDevice |
iPhone 8
NERFINISHED
ⓘ
iPhone 8 Plus NERFINISHED ⓘ iPhone X NERFINISHED ⓘ |
| vendor | Apple Inc. NERFINISHED ⓘ |
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: A11 Bionic Description of subject: A11 Bionic is Apple's custom 64-bit ARM-based system-on-a-chip introduced with the iPhone 8 and iPhone X, featuring a neural engine for machine learning tasks and significant performance and efficiency improvements over its predecessors.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.