Apple A12 Bionic
E547212
Apple A12 Bionic is a 64-bit ARM-based system-on-a-chip designed by Apple that powers several iPhone and iPad models, featuring improved performance and energy efficiency with an integrated neural engine for advanced machine learning tasks.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Apple A12 Bionic canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T5497976 — 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.
Target entity: Apple A12 Bionic Context triple: [Apple A-series, includesModel, Apple A12 Bionic]
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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.
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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.
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C.
Apple A11 Bionic
Apple A11 Bionic is a 64-bit ARM-based system-on-a-chip designed by Apple for iPhones, notable for significantly boosting performance and efficiency while enabling advanced machine learning and augmented reality features.
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D.
Apple A13 Bionic
The Apple A13 Bionic is a 64-bit ARM-based system-on-a-chip designed by Apple, known for powering the iPhone 11 series and providing advanced performance and machine learning capabilities.
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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.
Target entity: Apple A12 Bionic Target entity description: Apple A12 Bionic is a 64-bit ARM-based system-on-a-chip designed by Apple that powers several iPhone and iPad models, featuring improved performance and energy efficiency with an integrated neural engine for advanced machine learning tasks.
-
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 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 A11 Bionic
Apple A11 Bionic is a 64-bit ARM-based system-on-a-chip designed by Apple for iPhones, notable for significantly boosting performance and efficiency while enabling advanced machine learning and augmented reality features.
-
D.
Apple A13 Bionic
The Apple A13 Bionic is a 64-bit ARM-based system-on-a-chip designed by Apple, known for powering the iPhone 11 series and providing advanced performance and machine learning capabilities.
-
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 (52)
| Predicate | Object |
|---|---|
| instanceOf |
ARM-based processor
ⓘ
mobile system-on-a-chip ⓘ |
| announcementDate | 2018-09-12 ⓘ |
| architecture | 64-bit ARM ⓘ |
| coreCountCPU | 6 ⓘ |
| cpuCoreConfiguration | 2 performance cores and 4 efficiency cores ⓘ |
| designer | Apple Inc. NERFINISHED ⓘ |
| efficiencyCoreCodename | Tempest NERFINISHED ⓘ |
| firstUsedInDevice |
iPhone XR
NERFINISHED
ⓘ
iPhone XS NERFINISHED ⓘ iPhone XS Max NERFINISHED ⓘ |
| focus |
energy efficiency improvement
ⓘ
performance improvement ⓘ |
| foundry | TSMC NERFINISHED ⓘ |
| generation |
predecessor to Apple A13 Bionic
ⓘ
successor to Apple A11 Bionic ⓘ |
| gpuCoreCount | 4 ⓘ |
| gpuDesigner | Apple Inc. NERFINISHED ⓘ |
| includesComponent |
CPU
ⓘ
GPU ⓘ Neural Engine NERFINISHED ⓘ image signal processor ⓘ memory controller ⓘ secure enclave ⓘ |
| instructionSet | ARMv8-A NERFINISHED ⓘ |
| manufacturer | TSMC NERFINISHED ⓘ |
| market |
set-top boxes
ⓘ
smartphones ⓘ tablets ⓘ |
| microarchitecture | Apple-designed ARMv8-A ⓘ |
| neuralEngineCoreCount | 8 ⓘ |
| neuralEnginePerformance | up to 5 trillion operations per second ⓘ |
| performanceCoreCodename | Vortex NERFINISHED ⓘ |
| processNode | 7 nm ⓘ |
| supports |
4K video recording
ⓘ
AR applications ⓘ Face ID processing ⓘ HEVC hardware decoding ⓘ HEVC hardware encoding ⓘ Neural Engine NERFINISHED ⓘ machine learning acceleration ⓘ |
| transistorCount | 6.9 billion ⓘ |
| usedInDevice |
Apple TV 4K (2nd generation)
NERFINISHED
ⓘ
Apple TV 4K (3rd generation) NERFINISHED ⓘ iPad (8th generation) NERFINISHED ⓘ iPad Air (3rd generation) NERFINISHED ⓘ iPad mini (5th generation) NERFINISHED ⓘ iPhone XR NERFINISHED ⓘ iPhone XS NERFINISHED ⓘ iPhone XS Max NERFINISHED ⓘ iPod touch (7th generation) NERFINISHED ⓘ |
| wordSize | 64-bit ⓘ |
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.
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.
Subject: Apple A12 Bionic Description of subject: Apple A12 Bionic is a 64-bit ARM-based system-on-a-chip designed by Apple that powers several iPhone and iPad models, featuring improved performance and energy efficiency with an integrated neural engine for advanced machine learning tasks.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.