HWBenchedge-AI hardware data, cited & graded

NVIDIA Jetson AGX Thor vs NVIDIA Jetson Orin Nano Super

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NVIDIA Jetson AGX Thor is faster in the only like-for-like comparison (largest gap: object detection, 2.73×).

NVIDIA Jetson AGX ThorNVIDIA Jetson Orin Nano Super
Best object detection719 FPS B
undated
263 FPS B
undated
Power130 W spec25.00 W spec
Perf / W5.53 FPS/W spec10.53 FPS/W spec
Price$3499 list$249 list
Workloads with data2 of 71 of 7

Best published object detection result per platform (may be from different like-for-like groups — see data). n/a = not published; never estimated.

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

object detection

✓ Like-for-like: model-size class nano (YOLO-n), batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Thor719 FPS
inference_time · b=1
YOLO26n
FP16 · Ultralytics TensorRT · nano (YOLO-n)
B130 W spec
platform spec envelope (not measured with this result)
Ultralytics docs benchmark table
undated
NVIDIA Jetson Orin Nano Super263 FPS
inference_time · b=1
YOLO26n
INT8 · Ultralytics TensorRT · nano (YOLO-n)
B25.00 W spec
reported in result source — spec
Ultralytics docs benchmark table
undated

instance segmentation

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No published instance segmentation results for NVIDIA Jetson AGX Thor or NVIDIA Jetson Orin Nano Super 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 AGX Thor or NVIDIA Jetson Orin Nano Super yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

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No published image classification results for NVIDIA Jetson AGX Thor or NVIDIA Jetson Orin Nano Super 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 NVIDIA Jetson AGX Thor or NVIDIA Jetson Orin Nano Super 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 NVIDIA Jetson AGX Thor or NVIDIA Jetson Orin Nano Super 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 AGX Thor has published LLM generation results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Thor45.00 tok/s
tok/s gen, concurrency 1 · b=1
Qwen2.5-VL 7B
n/s on page · NVIDIA (vLLM/TensorRT-LLM per page) · LLM 5–14B
D130 W spec
platform spec envelope (not measured with this result)
NVIDIA Jetson Benchmarks
undated

NVIDIA Jetson Orin Nano Super:

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No published LLM generation results for NVIDIA Jetson Orin Nano Super or NVIDIA Jetson AGX Thor 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.