Apple A10 Fusion
E531795
The Apple A10 Fusion is a 64-bit ARM-based system-on-a-chip designed by Apple, notable for introducing a quad-core CPU with a performance/efficiency core architecture used in devices like the iPhone 7 and 7 Plus.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Apple A10 Fusion canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T5497973 — 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 A10 Fusion Context triple: [Apple A-series, includesModel, Apple A10 Fusion]
-
A.
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.
-
B.
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.
-
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 A8
Apple A8 is a 64-bit ARM-based system-on-a-chip designed by Apple Inc. that powered devices like the iPhone 6 and iPhone 6 Plus, offering improved performance and energy efficiency over its predecessor.
-
E.
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.
- 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 A10 Fusion Target entity description: The Apple A10 Fusion is a 64-bit ARM-based system-on-a-chip designed by Apple, notable for introducing a quad-core CPU with a performance/efficiency core architecture used in devices like the iPhone 7 and 7 Plus.
-
A.
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.
-
B.
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.
-
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 A8
Apple A8 is a 64-bit ARM-based system-on-a-chip designed by Apple Inc. that powered devices like the iPhone 6 and iPhone 6 Plus, offering improved performance and energy efficiency over its predecessor.
-
E.
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.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf | mobile system-on-a-chip ⓘ |
| announcementDate | 2016-09-07 ⓘ |
| architecture | 64-bit ARM ⓘ |
| bigLittleStyle | performance/efficiency core architecture ⓘ |
| clockSpeedMaxPerformanceCores | approximately 2.34 GHz ⓘ |
| commercialReleaseYear | 2016 ⓘ |
| coreCountEfficiency | 2 ⓘ |
| coreCountPerformance | 2 ⓘ |
| cpuArchitecture | ARMv8-A ⓘ |
| cpuConfiguration | 2 high-performance cores and 2 energy-efficient cores ⓘ |
| cpuCoreCount | 4 ⓘ |
| designer | Apple Inc. NERFINISHED ⓘ |
| dieSize | 125 mm² ⓘ |
| efficiencyCoreCodename | Zephyr NERFINISHED ⓘ |
| family | Apple A-series NERFINISHED ⓘ |
| firstAppearanceDevice |
iPhone 7
NERFINISHED
ⓘ
iPhone 7 Plus NERFINISHED ⓘ |
| firstAppleSoCWith |
heterogeneous performance/efficiency core design
ⓘ
quad-core CPU ⓘ |
| foundry | TSMC NERFINISHED ⓘ |
| gpu | Apple-designed 6-core GPU ⓘ |
| gpuCoreCount | 6 ⓘ |
| gpuVendor | Apple Inc. NERFINISHED ⓘ |
| integratedModem | no ⓘ |
| manufacturingProcess | 16 nm FinFET ⓘ |
| marketSegment |
smartphones
ⓘ
tablets ⓘ |
| memoryChannels | 2 ⓘ |
| memoryTypeSupported | LPDDR4 ⓘ |
| notableFeature |
first Apple SoC to separate high-performance and high-efficiency CPU cores
ⓘ
significant performance per watt improvements over Apple A9 ⓘ |
| packageType | PoP (package on package) ⓘ |
| performanceCoreCodename | Hurricane NERFINISHED ⓘ |
| predecessor | Apple A9 NERFINISHED ⓘ |
| processNode | 16 nm ⓘ |
| successor | Apple A11 Bionic NERFINISHED ⓘ |
| supports | Secure Enclave co-processor NERFINISHED ⓘ |
| supportsInstructionSet |
ARMv8-A AArch32
NERFINISHED
ⓘ
ARMv8-A with AArch64 NERFINISHED ⓘ |
| transistorCount | 3.3 billion ⓘ |
| usedFor | iOS devices ⓘ |
| usedInDevice |
Apple TV 4K (1st generation, as A10X variant)
NERFINISHED
ⓘ
iPad (6th generation) NERFINISHED ⓘ iPad (7th generation) NERFINISHED ⓘ iPad (8th generation) NERFINISHED ⓘ iPhone 7 NERFINISHED ⓘ iPhone 7 Plus 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.
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 A10 Fusion Description of subject: The Apple A10 Fusion is a 64-bit ARM-based system-on-a-chip designed by Apple, notable for introducing a quad-core CPU with a performance/efficiency core architecture used in devices like the iPhone 7 and 7 Plus.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.