Apple M4
E53393
Apple M4 is a next-generation ARM-based system-on-a-chip designed by Apple for high-performance, energy-efficient computing in its latest devices.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Apple M4 canonical | 5 |
Statements (32)
| Predicate | Object |
|---|---|
| instanceOf |
ARM-based processor
ⓘ
system-on-a-chip ⓘ |
| announcementDate | 2024-05-07 ⓘ |
| architecture | ARM ⓘ |
| belongsToPlatform |
Apple silicon
ⓘ
surface form:
Apple Silicon
|
| category | mobile SoC ⓘ |
| designedFor | Apple ecosystem ⓘ |
| designer | Apple Inc. ⓘ |
| designGoal | high performance per watt ⓘ |
| family |
Apple M-series
ⓘ
surface form:
Apple M series
|
| hasComponent |
CPU
ⓘ
GPU ⓘ Apple Neural Engine ⓘ
surface form:
Neural Engine
image signal processor ⓘ media engine ⓘ unified memory controller ⓘ |
| instructionSetArchitecture |
ARMv8-A
ⓘ
surface form:
ARM64
|
| integrates |
CPU and GPU on a single chip
ⓘ
system memory on a single chip ⓘ |
| introducedWith | 2024 iPad Pro lineup ⓘ |
| manufacturer | Apple Inc. ⓘ |
| marketedAs |
energy-efficient
ⓘ
high-performance ⓘ |
| predecessor | Apple M3 ⓘ |
| successorOf |
Apple M2
ⓘ
surface form:
Apple M2 (in iPad Pro line)
|
| supports |
64-bit computing
ⓘ
hardware-accelerated machine learning ⓘ |
| targetDeviceType | tablet computers ⓘ |
| targetUseCase |
general-purpose computing
ⓘ
graphics-intensive workloads ⓘ machine learning workloads ⓘ |
| usedIn | iPad Pro (2024) ⓘ |
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 M4 Description of subject: Apple M4 is a next-generation ARM-based system-on-a-chip designed by Apple for high-performance, energy-efficient computing in its latest devices.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.