G894-AD3-AAX7 (8x NVIDIA B300-SXM-270GB) vs NVIDIA Jetson Orin NX 16GB

No licensed photo available — placeholder drawing.

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.

Only NVIDIA Jetson Orin NX 16GB has published results here; G894-AD3-AAX7 (8x NVIDIA B300-SXM-270GB) has none for the workloads we track.

	G894-AD3-AAX7 (8x NVIDIA B300-SXM-270GB)	NVIDIA Jetson Orin NX 16GB
Best object detection	n/a	287 FPS B undated
Power	n/a	n/a
Perf / W	n/a	n/a
Price	n/a	n/a
Workloads with data	0 of 7	4 of 7

Best published object detection result per platform. n/a = not published; never estimated.

Show data — all workloads, sources and like-for-like groups

object detection

Only NVIDIA Jetson Orin NX 16GB has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Orin NX 16GB	287 FPS inference_time · b=1	YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n)	B	unknown power n/a no power published	Ultralytics docs benchmark table undated

G894-AD3-AAX7 (8x NVIDIA B300-SXM-270GB):

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No published object detection results for G894-AD3-AAX7 (8x NVIDIA B300-SXM-270GB) or NVIDIA Jetson Orin NX 16GB 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 G894-AD3-AAX7 (8x NVIDIA B300-SXM-270GB) or NVIDIA Jetson Orin NX 16GB 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 G894-AD3-AAX7 (8x NVIDIA B300-SXM-270GB) or NVIDIA Jetson Orin NX 16GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

Only NVIDIA Jetson Orin NX 16GB has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Orin NX 16GB	2641 FPS throughput_offline · b=unknown	MLPerf ResNet INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · mid-size CNN	D	unknown power n/a no power published	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) 2026-10

G894-AD3-AAX7 (8x NVIDIA B300-SXM-270GB):

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No published image classification results for G894-AD3-AAX7 (8x NVIDIA B300-SXM-270GB) or NVIDIA Jetson Orin NX 16GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

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No published semantic segmentation results for G894-AD3-AAX7 (8x NVIDIA B300-SXM-270GB) or NVIDIA Jetson Orin NX 16GB 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

Only NVIDIA Jetson Orin NX 16GB has published speech-to-text results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Orin NX 16GB	432 FPS throughput_offline · b=unknown	MLPerf RNN-T INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · RNN-T	D	unknown power n/a no power published	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) 2026-10

G894-AD3-AAX7 (8x NVIDIA B300-SXM-270GB):

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No published speech-to-text results for G894-AD3-AAX7 (8x NVIDIA B300-SXM-270GB) or NVIDIA Jetson Orin NX 16GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM generation

Only NVIDIA Jetson Orin NX 16GB has published LLM generation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Orin NX 16GB	11.00 tok/s generation_throughput · b=1	Nemotron Nano 9B V2 W4A16 · vLLM · LLM 5–14B	C	unknown power n/a no power published	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) undated

G894-AD3-AAX7 (8x NVIDIA B300-SXM-270GB):

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No published LLM generation results for G894-AD3-AAX7 (8x NVIDIA B300-SXM-270GB) or NVIDIA Jetson Orin NX 16GB 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.