AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) vs NVIDIA Jetson Thor T4000

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NVIDIA Jetson Thor T4000 is faster in all 3 like-for-like comparisons (largest gap: LLM generation, 3.08×).

	AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S)	NVIDIA Jetson Thor T4000
Best LLM generation	94.64 tok/s C 2026-10-02 (page last edited)	423 tok/s C 2026-07-21 (page last edited)
Power	120 W spec	n/a
Perf / W	0.789 tok/s/W spec	n/a
Price	n/a	n/a
Workloads with data	2 of 7	1 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

Only AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S)	476 FPS inference_time · b=1	YOLO26n FP32 · Ultralytics 8.4.165 ONNX Runtime MIGraphX EP · nano (YOLO-n)	B	120 W spec platform spec envelope (not measured with this result)	Ultralytics documentation: AMD ROCm/MIGraphX integration benchmark 2026-10-04 (page last edited)

NVIDIA Jetson Thor T4000:

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No published object detection results for NVIDIA Jetson Thor T4000 or AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) 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+ 395 / PRO 395 (Strix Halo, Radeon 8060S) 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+ 395 / PRO 395 (Strix Halo, Radeon 8060S) 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+ 395 / PRO 395 (Strix Halo, Radeon 8060S) 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+ 395 / PRO 395 (Strix Halo, Radeon 8060S) 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+ 395 / PRO 395 (Strix Halo, Radeon 8060S) 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.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Thor T4000	35.00 tok/s generation_throughput · b=1	Qwen 3 8B NVFP4 · 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)
AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) CPU-only	11.37 tok/s generation_throughput · b=1	DeepSeek R1 14b as in linked issue (Ollama default tags are 4-bit) · Ollama / llama.cpp (see linked issue) · LLM 5–14B	C	140 W measured reported in result source — measured	Jeff Geerling ai-benchmarks README (Findings tables) 2026-09-22 (page last edited)

✓ Like-for-like: model-size class LLM 15–40B, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Thor T4000	57.00 tok/s generation_throughput · b=1	Qwen3-30B-A3B NVFP4 · vLLM · LLM 15–40B	C	unknown power n/a no power published	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (page last edited)
AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S)	47.50 tok/s generation_throughput · b=1	Qwen3-Coder 30B (MoE, 3.3B active) not stated per model · Ollama (OpenAI-compatible endpoint) · LLM 15–40B	C	120 W spec platform spec envelope (not measured with this result)	Adam Taylor (Adiuvo Engineering) (manual extraction) 2026-09-23 (published)

✓ Like-for-like: model-size class LLM ≤4B, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Thor T4000	95.00 tok/s generation_throughput · b=1	Qwen3-VL-2B NVFP4 · vLLM · LLM ≤4B	C	unknown power n/a no power published	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (page last edited)
AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S)	88.14 tok/s generation_throughput · b=1	Llama 3.2:3b as in linked issue (Ollama default tags are 4-bit) · Ollama / llama.cpp (see linked issue) · LLM ≤4B	C	133 W measured reported in result source — measured	Jeff Geerling ai-benchmarks README (Findings tables) 2026-09-22 (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.