TinyML
MLPerf Tiny MobileNet (VWW)
MLPerf Tiny reference model for visual wake words on microcontrollers and NPUs.

Levelmodel
ClassTinyML
Parametersnot in the notes
Contextnot in the notes
Releasednot in the notes
Opennessunknown
Runs onmicrocontroller
Statusactive
R&D Topics
Identity
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- CNN
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- image
- Output
- labels and boxes
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- unknown
- Licence
- Apache License 2.0 sources
- Access routes
- not in the notes
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- microcontroller
- Footprint
- MCU-class
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
Developer
MLCommonsconsortium, USA
MLCommonsconsortium, USAModel
MLPerf Tiny MobileNet (VWW)MLCommons, TinyML
MLPerf Tiny MobileNet (VWW)MLCommons, TinyMLR&D TopicsTinyML on Microcontrollers
Use Casesnone recorded
Who Runs Itnone recorded
Organisations 1
Sources
- Benchmark MLPerf Inference: Tiny | MLCommons V1.1 Results mlcommons.org https://mlcommons.org/benchmarks/inference-tiny/
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "MLPerf Tiny MobileNet (VWW)", https://aurion.semai.id/models/mlcommons-mlperf-tiny-mobilenet-vww/, records of October 2026.