NVIDIA Jetson Orin NX 16GB (MaxQ): edge AI benchmarks

Name: NVIDIA Jetson Orin NX 16GB (MaxQ)
Brand: NVIDIA

NVIDIA Jetson Orin NX module seated on a carrier motherboard, close-up at Computex 2025 — NVIDIA Jetson Orin NX module on a carrier board. Photo: 4300streetcar, CC BY 4.0, via Wikimedia Commons.

Vendor NVIDIAForm factor edge moduleCompute GPU+DLAIndicative price unknownPower envelope unknownPublished rows 5

object detection47.59 FPSD 3.06 FPS/W measured2026-10

image classification1682 FPSD 112 FPS/W measured2026-10

speech-to-text328 FPSD 19.00 FPS/W measured2026-10

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

Show data — per-workload tables

object detection

Like-for-like group	Best result	Model · precision · stack	Grade	Power	Source · date	Rank in group
mid-size CNN · b=unknown	47.59 FPS	MLPerf Retinanet INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round)	D	15.57 W measured	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) 2026-10	15 of 34

instance segmentation

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No published instance segmentation results for NVIDIA Jetson Orin NX 16GB (MaxQ) 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 NVIDIA Jetson Orin NX 16GB (MaxQ) 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
mid-size CNN · b=unknown	1682 FPS	MLPerf ResNet INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round)	D	14.95 W measured	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) 2026-10	20 of 41

semantic segmentation

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No published semantic segmentation results for NVIDIA Jetson Orin NX 16GB (MaxQ) 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

Like-for-like group	Best result	Model · precision · stack	Grade	Power	Source · date	Rank in group
RNN-T · b=unknown	328 FPS	MLPerf RNN-T INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round)	D	17.25 W measured	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) 2026-10	3 of 3

LLM generation

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No published LLM generation results for NVIDIA Jetson Orin NX 16GB (MaxQ) 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.