NVIDIA Jetson AGX Orin 64GB vs Qualcomm Dragonwing RB3 Gen 2 (QCS6490)

NVIDIA Jetson AGX Orin developer kit with its retail box, on a black background — NVIDIA Jetson AGX Orin developer kit. Photo: Auledas, CC BY 4.0, via Wikimedia Commons.

No licensed photo available — placeholder drawing.

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 AGX Orin 64GB	Qualcomm Dragonwing RB3 Gen 2 (QCS6490)
Best object detection	435 FPS B undated	276 FPS D 2026 (year only)
Power	65.00 W spec	n/a
Perf / W	6.69 FPS/W spec	n/a
Price	$1999 list	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 AGX Orin 64GB	435 FPS inference_time · b=1	YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n)	B	65.00 W spec platform spec envelope (not measured with this result)	Ultralytics docs benchmark table undated
Qualcomm Dragonwing RB3 Gen 2 (QCS6490) MIXED: model-size class unknown vs nano (YOLO-n)	276 FPS inference_time · b=1	yolov8_det / YOLOv8-Detection w8a8 · Qualcomm AI Hub tflite (QAIRT 2.50.0.260828221209) · unknown	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026 (year only)

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

instance segmentation

Only Qualcomm Dragonwing RB3 Gen 2 (QCS6490) has published instance segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing RB3 Gen 2 (QCS6490)	240 FPS inference_time · b=1	yolov8_seg / YOLOv8-Segmentation w8a8 · Qualcomm AI Hub tflite (QAIRT 2.50.0.260828221209) · unknown	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026 (year only)

NVIDIA Jetson AGX Orin 64GB:

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No published instance segmentation results for NVIDIA Jetson AGX Orin 64GB or Qualcomm Dragonwing RB3 Gen 2 (QCS6490) 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 Dragonwing RB3 Gen 2 (QCS6490) has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing RB3 Gen 2 (QCS6490)	291 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 (year only)

NVIDIA Jetson AGX Orin 64GB:

◌

No published pose estimation results for NVIDIA Jetson AGX Orin 64GB or Qualcomm Dragonwing RB3 Gen 2 (QCS6490) 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 Dragonwing RB3 Gen 2 (QCS6490)	940 FPS inference_time · b=1	mobilenet_v2 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 (year only)
NVIDIA Jetson AGX Orin 64GB MIXED: model-size class mid-size CNN vs mobile-class CNN; batch unknown vs 1	6424 FPS throughput_offline · b=unknown	MLPerf ResNet INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · mid-size CNN	D	65.00 W spec platform spec envelope (not measured with this result)	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) 2026-10

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

semantic segmentation

Only Qualcomm Dragonwing RB3 Gen 2 (QCS6490) has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing RB3 Gen 2 (QCS6490)	71.69 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 (year only)

NVIDIA Jetson AGX Orin 64GB:

◌

No published semantic segmentation results for NVIDIA Jetson AGX Orin 64GB or Qualcomm Dragonwing RB3 Gen 2 (QCS6490) 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 small at batch 1. Differs: model-size class RNN-T vs Whisper small; batch unknown vs 1.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing RB3 Gen 2 (QCS6490)	42.65 FPS inference_time · b=1	whisper_small_quantized / decoder w8a16 · Qualcomm AI Hub voice_ai (QAIRT 2.50.0.260828221209) · Whisper small	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026 (year only)
NVIDIA Jetson AGX Orin 64GB MIXED: model-size class RNN-T vs Whisper small; batch unknown vs 1	1170 FPS throughput_offline · b=unknown	MLPerf RNN-T INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · RNN-T	D	65.00 W spec platform spec envelope (not measured with this result)	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) 2026-10

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

LLM generation

Only NVIDIA Jetson AGX Orin 64GB has published LLM generation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Orin 64GB	30.00 tok/s generation_throughput · b=1	Qwen 3 8B W4A16 · vLLM · LLM 5–14B	C	65.00 W spec platform spec envelope (not measured with this result)	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) undated

Qualcomm Dragonwing RB3 Gen 2 (QCS6490):

◌

No published LLM generation results for Qualcomm Dragonwing RB3 Gen 2 (QCS6490) or NVIDIA Jetson AGX Orin 64GB 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.