Apple A13 Bionic
E276416
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.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Apple A13 Bionic canonical | 7 |
| Apple A13 Bionic processor | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2510254 — 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 A13 Bionic Context triple: [Apple Studio Display, builtInProcessor, Apple A13 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 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.
-
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 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.
-
E.
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.
- 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 A13 Bionic Target entity description: 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.
-
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 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.
-
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 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.
-
E.
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.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
ARM-based processor
ⓘ
mobile system-on-a-chip ⓘ |
| announcementDate | 2019-09-10 ⓘ |
| architecture | 64-bit ARM ⓘ |
| coreCount | 6 ⓘ |
| cpuCoreConfiguration | 2 high-performance cores and 4 efficiency cores ⓘ |
| designer | Apple Inc. ⓘ |
| efficiencyCoreName | Thunder ⓘ |
| fabricationProcess | 7 nm ⓘ |
| firstUsedIn |
iPhone 11
ⓘ
iPhone 11 Pro ⓘ iPhone 11 Pro Max ⓘ
linked to:
iPhone 11 Pro
|
| foundry | TSMC ⓘ |
| gpuCoreCount | 4 ⓘ |
| highPerformanceCoreName | Lightning ⓘ |
| includes |
Neural Engine
ⓘ
Secure Enclave coprocessor ⓘ
linked to:
Secure Enclave
image signal processor ⓘ integrated GPU ⓘ video decoder ⓘ video encoder ⓘ |
| ISA |
ARMv8.4-A
ⓘ
linked to:
ARMv8-A
|
| l1CachePerEfficiencyCore |
128 KB instruction cache
ⓘ
32 KB data cache ⓘ |
| l1CachePerPerformanceCore |
128 KB instruction cache
ⓘ
64 KB data cache ⓘ |
| l2CacheForEfficiencyCores | 4 MB shared ⓘ |
| l2CacheForPerformanceCores | 8 MB shared ⓘ |
| marketedAs | A13 Bionic ⓘ |
| neuralEngineCoreCount | 8 ⓘ |
| neuralEnginePerformance | up to 1 trillion operations per second ⓘ |
| notableFeature |
advanced machine learning capabilities on-device
ⓘ
enhanced computational photography support ⓘ improved performance per watt over A12 Bionic ⓘ |
| predecessor | Apple A12 Bionic ⓘ |
| processNodeVendor | TSMC N7P ⓘ |
| successor | Apple A14 Bionic ⓘ |
| supports |
4K video recording
ⓘ
HEVC hardware encoding and decoding ⓘ Metal ⓘ Neural Engine ⓘ
linked to:
Apple Neural Engine
Secure Enclave ⓘ machine learning acceleration ⓘ |
| targetDeviceType |
smartphone
ⓘ
tablet ⓘ |
| transistorCount | 8500000000 ⓘ |
| usedIn |
Studio Display
ⓘ
linked to:
Apple Studio Display
iPad (9th generation) ⓘ iPhone SE (2nd 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 A13 Bionic Description of subject: 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.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Apple A13 Bionic