Apple M2 Pro
E45440
Apple M2 Pro is a high-performance ARM-based system-on-a-chip designed by Apple for professional-grade laptops and demanding creative and computational workloads.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Apple M2 Pro canonical | 14 |
How this entity was disambiguated
This entity first appeared as the object of triple T321780 — 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 M2 Pro Context triple: [MacBook Pro, usesProcessorSeries, Apple M2 Pro]
-
A.
Apple M1 Pro
Apple M1 Pro is a high-performance ARM-based system-on-a-chip from Apple designed for professional workloads, offering significantly enhanced CPU, GPU, and memory capabilities over the original M1 for use in MacBook Pro laptops.
-
B.
Apple M2
Apple M2 is a second-generation ARM-based system-on-a-chip designed by Apple that delivers improved performance and efficiency for modern Mac computers and iPads.
-
C.
Apple M1 Max
Apple M1 Max is a high-performance Apple Silicon system-on-a-chip designed for professional Mac laptops and desktops, featuring significantly expanded CPU, GPU, and memory capabilities over earlier M1 variants.
-
D.
Apple M3
Apple M3 is a generation of Apple-designed ARM-based system-on-a-chip processors that power newer Mac computers, offering improved performance and energy efficiency over its predecessors.
-
E.
Apple M1 Ultra
Apple M1 Ultra is Apple’s high-end ARM-based system-on-a-chip for Macs that fuses two M1 Max dies to deliver significantly increased CPU, GPU, and unified memory performance for professional 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 M2 Pro Target entity description: Apple M2 Pro is a high-performance ARM-based system-on-a-chip designed by Apple for professional-grade laptops and demanding creative and computational workloads.
-
A.
Apple M1 Pro
Apple M1 Pro is a high-performance ARM-based system-on-a-chip from Apple designed for professional workloads, offering significantly enhanced CPU, GPU, and memory capabilities over the original M1 for use in MacBook Pro laptops.
-
B.
Apple M2
Apple M2 is a second-generation ARM-based system-on-a-chip designed by Apple that delivers improved performance and efficiency for modern Mac computers and iPads.
-
C.
Apple M1 Max
Apple M1 Max is a high-performance Apple Silicon system-on-a-chip designed for professional Mac laptops and desktops, featuring significantly expanded CPU, GPU, and memory capabilities over earlier M1 variants.
-
D.
Apple M3
Apple M3 is a generation of Apple-designed ARM-based system-on-a-chip processors that power newer Mac computers, offering improved performance and energy efficiency over its predecessors.
-
E.
Apple M1 Ultra
Apple M1 Ultra is Apple’s high-end ARM-based system-on-a-chip for Macs that fuses two M1 Max dies to deliver significantly increased CPU, GPU, and unified memory performance for professional workloads.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
ARM-based processor
ⓘ
Apple silicon ⓘ system-on-a-chip ⓘ |
| announcementDate | 2023-01-17 ⓘ |
| application | laptop computers ⓘ |
| architecture | ARM64 ⓘ |
| cpuCoreCount |
10 cores
ⓘ
12 cores ⓘ |
| cpuEfficiencyCores | up to 4 ⓘ |
| cpuPerformanceCores | up to 8 ⓘ |
| designer | Apple Inc. ⓘ |
| family | Apple M2 ⓘ |
| feature |
Neural Engine
ⓘ
linked to:
Apple Neural Engine
PCIe storage controller ⓘ Secure Enclave ⓘ Thunderbolt controller ⓘ media engine ⓘ |
| gpuCoreCount |
16 cores
ⓘ
19 cores ⓘ |
| launchYear | 2023 ⓘ |
| manufacturer | TSMC ⓘ |
| marketedFor |
computational workloads
ⓘ
creative workloads ⓘ professional workloads ⓘ |
| maxUnifiedMemory | 32 GB ⓘ |
| memoryType | LPDDR5 ⓘ |
| neuralEngineCoreCount | 16 cores ⓘ |
| powerEfficiency | high ⓘ |
| predecessor | Apple M1 Pro ⓘ |
| processNode | 5 nm ⓘ |
| successor |
Apple M3 Pro
ⓘ
linked to:
Apple M3
|
| supports |
AV1 decode via software
ⓘ
DirectX 12 via translation layer ⓘ Metal 3 ⓘ Thunderbolt 4 ⓘ
linked to:
Thunderbolt
USB4 ⓘ hardware-accelerated H.264 ⓘ hardware-accelerated HEVC ⓘ hardware-accelerated ProRes ⓘ hardware-accelerated ProRes RAW ⓘ unified memory architecture ⓘ up to two external displays ⓘ |
| targetDeviceClass | professional laptops ⓘ |
| targetUser |
creative professionals
ⓘ
software developers ⓘ |
| transistorCount | 40 billion ⓘ |
| usedIn |
14-inch MacBook Pro (2023)
ⓘ
linked to:
MacBook Pro (14-inch, 2021)
16-inch MacBook Pro (2023) ⓘ
linked to:
MacBook Pro (16-inch, 2021)
Mac mini (2023) ⓘ
linked to:
M2 Pro Mac mini
|
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 M2 Pro Description of subject: Apple M2 Pro is a high-performance ARM-based system-on-a-chip designed by Apple for professional-grade laptops and demanding creative and computational workloads.
Referenced by (14)
Full triples — surface form annotated when it differs from this entity's canonical label.