A10 Fusion chip
E486623
The A10 Fusion chip is a 64‑bit ARM-based system-on-a-chip designed by Apple that significantly boosts performance and power efficiency for devices like the iPhone 7 and 7 Plus.
All labels observed (1)
| Label | Occurrences |
|---|---|
| A10 Fusion chip canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5015727 — 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: A10 Fusion chip Context triple: [Apple September 2016 event, introducedFeature, A10 Fusion chip]
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A.
Nvidia Tegra X1
The Nvidia Tegra X1 is a mobile system-on-chip that combines ARM CPU cores with an integrated Maxwell-based GPU, widely known for powering devices like the Nintendo Switch.
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B.
Nvidia Maxwell GPU
The Nvidia Maxwell GPU is a graphics processing architecture from Nvidia known for significantly improved power efficiency and performance, widely used in mid-2010s desktop, mobile, and embedded devices.
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C.
Nvidia Tegra 3
Nvidia Tegra 3 is a quad-core ARM-based mobile system-on-chip designed by Nvidia for tablets and smartphones, known for integrating CPU, GPU, and memory controller to deliver improved performance and power efficiency.
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D.
Tensor G3 chip
The Tensor G3 chip is Google's custom third-generation mobile processor designed to power Pixel devices with advanced AI, machine learning, and efficiency-focused performance.
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E.
Snapdragon system-on-chip
The Snapdragon system-on-chip is a family of mobile processors widely used in smartphones and other devices, integrating CPU, GPU, modem, and other components to deliver high performance and power efficiency.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: A10 Fusion chip Target entity description: The A10 Fusion chip is a 64‑bit ARM-based system-on-a-chip designed by Apple that significantly boosts performance and power efficiency for devices like the iPhone 7 and 7 Plus.
-
A.
Nvidia Tegra X1
The Nvidia Tegra X1 is a mobile system-on-chip that combines ARM CPU cores with an integrated Maxwell-based GPU, widely known for powering devices like the Nintendo Switch.
-
B.
Nvidia Maxwell GPU
The Nvidia Maxwell GPU is a graphics processing architecture from Nvidia known for significantly improved power efficiency and performance, widely used in mid-2010s desktop, mobile, and embedded devices.
-
C.
Nvidia Tegra 3
Nvidia Tegra 3 is a quad-core ARM-based mobile system-on-chip designed by Nvidia for tablets and smartphones, known for integrating CPU, GPU, and memory controller to deliver improved performance and power efficiency.
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D.
Tensor G3 chip
The Tensor G3 chip is Google's custom third-generation mobile processor designed to power Pixel devices with advanced AI, machine learning, and efficiency-focused performance.
-
E.
Snapdragon system-on-chip
The Snapdragon system-on-chip is a family of mobile processors widely used in smartphones and other devices, integrating CPU, GPU, modem, and other components to deliver high performance and power efficiency.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
ARM-based processor
ⓘ
system on a chip ⓘ |
| applicationDomain |
media players
ⓘ
smartphones ⓘ tablets ⓘ |
| architecture | 64-bit ⓘ |
| bigCoreCodename | Hurricane ⓘ |
| bigCoreCount | 2 ⓘ |
| category | mobile SoC ⓘ |
| clockSpeedMax | approximately 2.34 GHz ⓘ |
| coreConfiguration | 2 high-performance cores plus 2 high-efficiency cores ⓘ |
| CPUCoreCount | 4 ⓘ |
| CPUType | ARM big.LITTLE-like heterogeneous multi-core ⓘ |
| designer | Apple Inc. NERFINISHED ⓘ |
| family | Apple A series NERFINISHED ⓘ |
| feature |
fusion of high-performance and high-efficiency cores
ⓘ
hardware video encoding and decoding ⓘ integrated GPU ⓘ integrated image signal processor ⓘ |
| firstUsedIn |
iPhone 7
NERFINISHED
ⓘ
iPhone 7 Plus NERFINISHED ⓘ |
| foundry | TSMC NERFINISHED ⓘ |
| GPUCoreCount | 6 ⓘ |
| GPUDesigner | Apple Inc. NERFINISHED ⓘ |
| GPUPerformanceClaim | up to 50% faster graphics than Apple A9 ⓘ |
| introductionDate | 2016-09-07 ⓘ |
| ISA | ARMv8-A NERFINISHED ⓘ |
| littleCoreCodename | Zephyr NERFINISHED ⓘ |
| littleCoreCount | 2 ⓘ |
| marketedWith | iPhone 7 performance improvements ⓘ |
| memoryType | LPDDR4 ⓘ |
| packageType | PoP ⓘ |
| performanceClaim | up to 40% faster CPU than Apple A9 ⓘ |
| powerEfficiencyClaim | improved power efficiency over Apple A9 ⓘ |
| predecessor | Apple A9 NERFINISHED ⓘ |
| processNode | 16 nm FinFET ⓘ |
| successor | Apple A11 Bionic NERFINISHED ⓘ |
| supports |
64-bit computing
ⓘ
ARM NEON NERFINISHED ⓘ Secure Enclave NERFINISHED ⓘ |
| transistorCount | 3300000000 ⓘ |
| usedInDevice |
Apple TV 4K (1st generation, as A10X variant)
NERFINISHED
ⓘ
iPad (6th generation) NERFINISHED ⓘ iPad (7th generation) NERFINISHED ⓘ iPad (8th generation) NERFINISHED ⓘ iPod touch (7th generation) NERFINISHED ⓘ |
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: A10 Fusion chip Description of subject: The A10 Fusion chip is a 64‑bit ARM-based system-on-a-chip designed by Apple that significantly boosts performance and power efficiency for devices like the iPhone 7 and 7 Plus.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.