NXP i.MX 93: edge AI benchmarks

Name: NXP i.MX 93
Brand: NXP

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Vendor NXPForm factor edge SoCCompute NPU (Arm Ethos-U65)Indicative price unknownPower envelope unknownPublished rows 1

image classification256 FPSD perf/W n/aundated

Best published result per workload, across model sizes — open “Show data” for like-for-like groups.

Show data — per-workload tables

object detection

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No published object detection results for NXP i.MX 93 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

instance segmentation

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No published instance segmentation results for NXP i.MX 93 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

pose estimation

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No published pose estimation results for NXP i.MX 93 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

Like-for-like group	Best result	Model · precision · stack	Grade	Power	Source · date	Rank in group
mobile-class CNN · b=1	256 FPS	mobilenet_v1_1.0_224_quant (vela) INT8 (quantized) · TensorFlow Lite 2.19.0 label_image (C++); delegate: Ethos-U Delegate (Vela-compiled model)	D	unknown power n/a	NXP UG10166 (vendor document) undated	14 of 16

semantic segmentation

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No published semantic segmentation results for NXP i.MX 93 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

speech-to-text

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No published speech-to-text results for NXP i.MX 93 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM generation

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No published LLM generation results for NXP i.MX 93 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

How to read these numbers

Every number is labelled. Confidence: A MLPerf closed, audited · B documented third-party method · C community / review · D vendor-published, not independently verified · E estimate. Power basis: measured with the result · spec vendor spec/envelope · power n/a not published.

Machine-readable: /find.json (see llms.txt); full tables are in “Show data”. Confidence grades: A audited MLPerf closed · B documented third-party · C community · D vendor-published · E estimate. Unknown values are shown as unknown, never estimated. Generated 2026-10-16 from public sources.