HWBench

AMD Ryzen AI Max+ (Strix Halo) iGPU vs NVIDIA Jetson Orin Nano Super

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

AMD Ryzen AI Max+ (Strix Halo) iGPUNVIDIA Jetson Orin Nano Super
Best LLM generation54.38 tok/s C
2026-10-10 (page last edited)
n/a
Power120 W specn/a
Perf / W0.453 tok/s/W specn/a
Price$3999 list$249 list
Workloads with data1 of 72 of 7

Best published LLM generation 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 Nano Super has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
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 documentation (benchmark table)
2026-10-13 (page last edited)

AMD Ryzen AI Max+ (Strix Halo) iGPU:

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No published object detection results for AMD Ryzen AI Max+ (Strix Halo) iGPU 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.

instance segmentation

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No published instance segmentation results for AMD Ryzen AI Max+ (Strix Halo) iGPU 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 AMD Ryzen AI Max+ (Strix Halo) iGPU 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 AMD Ryzen AI Max+ (Strix Halo) iGPU 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

Only NVIDIA Jetson Orin Nano Super has published semantic segmentation results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson Orin Nano Super67.47 FPS
throughput · b=1
SegFormer-B0 (640x640)
FP16 · TensorRT (ONNX export) · unknown
C25.00 W spec
platform spec envelope (not measured with this result)
arXiv 2608.00927 AgriJetsonBench (abstract figures)
2026-08-02 (published)

AMD Ryzen AI Max+ (Strix Halo) iGPU:

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No published semantic segmentation results for AMD Ryzen AI Max+ (Strix Halo) iGPU 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 AMD Ryzen AI Max+ (Strix Halo) iGPU 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 AMD Ryzen AI Max+ (Strix Halo) iGPU has published LLM generation results.

PlatformResultModel · precision · stackGradePowerSource
AMD Ryzen AI Max+ (Strix Halo) iGPU54.38 tok/s
tg128 · b=1
Llama 2 7B
Q4_0 · llama.cpp Vulkan (FA on, commit fb4b273) · LLM 5–14B
C120 W spec
platform spec envelope (not measured with this result)
llama.cpp discussion #10879 Vulkan scoreboard (via GitHub API)
2026-10-10 (page last edited)

NVIDIA Jetson Orin Nano Super:

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No published LLM generation results for NVIDIA Jetson Orin Nano Super or AMD Ryzen AI Max+ (Strix Halo) iGPU 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.