NVIDIA Jetson Orin NX 16GB vs Qualcomm Snapdragon X2 Elite (CRD)

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.

QualcommAI PCNo licensed photo yet

No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.

	NVIDIA Jetson Orin NX 16GB	Qualcomm Snapdragon X2 Elite (CRD)
Best object detection	287 FPS B 2026-10-13 (page last edited)	1502 FPS D 2026-10-07 (published)
Power	n/a	n/a
Perf / W	n/a	n/a
Price	n/a	n/a
Workloads with data	4 of 7	6 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

⚠ MIXED COMPARISON — not like-for-like. Baseline nano (YOLO-n) at batch 1. Differs: model-size class unknown vs nano (YOLO-n).

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 documentation (benchmark table) 2026-10-13 (page last edited)
Qualcomm Snapdragon X2 Elite (CRD) MIXED: model-size class unknown vs nano (YOLO-n)	1502 FPS inference_time · b=1	yolov8_det / YOLOv8-Detection w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · unknown	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)

No shared like-for-like group exists for this pair.

instance segmentation

Only Qualcomm Snapdragon X2 Elite (CRD) has published instance segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Snapdragon X2 Elite (CRD)	1311 FPS inference_time · b=1	yolov8_seg / YOLOv8-Segmentation w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · unknown	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)

NVIDIA Jetson Orin NX 16GB:

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No published instance segmentation results for NVIDIA Jetson Orin NX 16GB or Qualcomm Snapdragon X2 Elite (CRD) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

pose estimation

Only Qualcomm Snapdragon X2 Elite (CRD) has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Snapdragon X2 Elite (CRD)	1855 FPS inference_time · b=1	hrnet_pose w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · mid-size CNN	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)

NVIDIA Jetson Orin NX 16GB:

◌

No published pose estimation results for NVIDIA Jetson Orin NX 16GB or Qualcomm Snapdragon X2 Elite (CRD) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

⚠ MIXED COMPARISON — not like-for-like. Baseline mobile-class CNN at batch 1. Differs: model-size class mid-size CNN vs mobile-class CNN; batch unknown vs 1.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Snapdragon X2 Elite (CRD)	3953 FPS inference_time · b=1	mobilenet_v2 w8a16 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · mobile-class CNN	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)
NVIDIA Jetson Orin NX 16GB MIXED: model-size class mid-size CNN vs mobile-class CNN; batch unknown vs 1	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) Older data (2023)

No shared like-for-like group exists for this pair.

semantic segmentation

Only Qualcomm Snapdragon X2 Elite (CRD) has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Snapdragon X2 Elite (CRD)	609 FPS inference_time · b=1	deeplabv3_plus_mobilenet w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · mobile-class CNN	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)

NVIDIA Jetson Orin NX 16GB:

◌

No published semantic segmentation results for NVIDIA Jetson Orin NX 16GB or Qualcomm Snapdragon X2 Elite (CRD) 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

⚠ MIXED COMPARISON — not like-for-like. Baseline Whisper base at batch 1. Differs: model-size class RNN-T vs Whisper base; batch unknown vs 1.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Snapdragon X2 Elite (CRD)	408 FPS inference_time · b=1	whisper_base / decoder float · Qualcomm AI Hub precompiled_qnn_onnx (QAIRT 2.50.0.260828221209) · Whisper base	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)
NVIDIA Jetson Orin NX 16GB MIXED: model-size class RNN-T vs Whisper base; batch unknown vs 1	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) Older data (2023)

No shared like-for-like group exists for this pair.

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) 2026-07-21 (page last edited)

Qualcomm Snapdragon X2 Elite (CRD):

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No published LLM generation results for Qualcomm Snapdragon X2 Elite (CRD) 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.