MPSImage
E849980
MPSImage is a Metal Performance Shaders data type that represents image textures optimized for high-performance GPU-accelerated image processing and machine learning operations on Apple platforms.
All labels observed (1)
| Label | Occurrences |
|---|---|
| MPSImage canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10214147 — 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: MPSImage Context triple: [Metal Performance Shaders, supports, MPSImage]
-
A.
MPIMG
MPIMG is a leading research institute of the Max Planck Society focused on advancing molecular genetics and genomics.
-
B.
MPS
MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
-
C.
MPS
MPS is a language workbench and integrated development environment by JetBrains designed for creating and working with domain-specific languages using projectional editing.
-
D.
Mikros Image
Mikros Image is a visual effects and animation studio known for its work on feature films and animated projects.
-
E.
Eye of MATE image viewer
Eye of MATE image viewer is the default lightweight image viewing application for the MATE desktop environment, designed for simple browsing and viewing of image files.
- 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: MPSImage Target entity description: MPSImage is a Metal Performance Shaders data type that represents image textures optimized for high-performance GPU-accelerated image processing and machine learning operations on Apple platforms.
-
A.
MPIMG
MPIMG is a leading research institute of the Max Planck Society focused on advancing molecular genetics and genomics.
-
B.
MPS
MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
-
C.
MPS
MPS is a language workbench and integrated development environment by JetBrains designed for creating and working with domain-specific languages using projectional editing.
-
D.
Mikros Image
Mikros Image is a visual effects and animation studio known for its work on feature films and animated projects.
-
E.
Eye of MATE image viewer
Eye of MATE image viewer is the default lightweight image viewing application for the MATE desktop environment, designed for simple browsing and viewing of image files.
- F. None of above. chosen
Statements (43)
| Predicate | Object |
|---|---|
| instanceOf |
Apple framework class
ⓘ
GPU image representation ⓘ Metal Performance Shaders type ⓘ |
| backedBy | MTLTexture ⓘ |
| belongsTo |
Apple Metal Performance Shaders API
ⓘ
linked to:
Metal graphics API
|
| createdWith | MTLDevice ⓘ |
| definedIn |
MetalPerformanceShaders.framework
ⓘ
linked to:
Metal Performance Shaders
|
| designedBy | Apple Inc. ⓘ |
| hasProperty |
featureChannels
ⓘ
height ⓘ numberOfImages ⓘ pixelFormat ⓘ textureType ⓘ usage ⓘ width ⓘ |
| languageBinding |
Objective-C
ⓘ
Swift ⓘ |
| memoryLocation | GPU memory ⓘ |
| optimizedFor |
GPU-accelerated image processing
ⓘ
GPU-accelerated machine learning ⓘ |
| partOf |
Metal Performance Shaders
ⓘ
Metal ecosystem ⓘ |
| platform |
Apple platforms
ⓘ
linked to:
Apple platforms APIs
iOS ⓘ macOS ⓘ tvOS ⓘ |
| represents | image textures ⓘ |
| requires | Metal ⓘ |
| supports |
2D image data
ⓘ
batch processing of images ⓘ multiple feature channels ⓘ neural network intermediate activations ⓘ temporary image allocation ⓘ |
| usedFor |
computer vision workloads
ⓘ
convolutional neural networks ⓘ high-performance inference ⓘ high-performance training ⓘ image filtering ⓘ |
| usedWith |
MPSCNNBatchNormalization
ⓘ
linked to:
MPSCNNKernel
MPSCNNConvolution ⓘ
linked to:
MPSCNNKernel
MPSCNNKernel ⓘ MPSCNNPooling ⓘ
linked to:
MPSCNNKernel
MPSKernel ⓘ
linked to:
MPS
|
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: MPSImage Description of subject: MPSImage is a Metal Performance Shaders data type that represents image textures optimized for high-performance GPU-accelerated image processing and machine learning operations on Apple platforms.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.