HWBench

AMD Ryzen AI Max+ (Strix Halo) iGPU vs NVIDIA Jetson Thor T4000

AMD Ryzen AI Max+ (Strix Halo) iGPU is faster in the only like-for-like comparison (largest gap: LLM generation, 1.55×).

AMD Ryzen AI Max+ (Strix Halo) iGPUNVIDIA Jetson Thor T4000
Best LLM generation54.38 tok/s C
2026-10-10 (page last edited)		423 tok/s C
2026-07-21 (page last edited)
Power120 W specn/a
Perf / W0.453 tok/s/W specn/a
Price$3999 listn/a
Workloads with data1 of 71 of 7

Best published LLM generation 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

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No published object detection results for AMD Ryzen AI Max+ (Strix Halo) iGPU or NVIDIA Jetson Thor T4000 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 Thor T4000 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 Thor T4000 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 Thor T4000 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 AMD Ryzen AI Max+ (Strix Halo) iGPU or NVIDIA Jetson Thor T4000 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 Thor T4000 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM generation

✓ Like-for-like: model-size class LLM 5–14B, batch 1. Model, precision and stack may still differ.
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 Thor T400035.00 tok/s
generation_throughput · b=1		Qwen 3 8B
NVFP4 · vLLM · LLM 5–14B		Cunknown power n/a
no power published		NVIDIA Jetson AI Lab benchmarks (benchmarks.json)
2026-07-21 (page last edited)
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.