AMD Ryzen AI Max+ (Strix Halo) iGPU vs NVIDIA Jetson AGX Thor
AMD Ryzen AI Max+ (Strix Halo) iGPU is faster in the only like-for-like comparison (largest gap: LLM generation, 1.21×).
| AMD Ryzen AI Max+ (Strix Halo) iGPU | NVIDIA Jetson AGX Thor | |
|---|---|---|
| Best LLM generation | 54.38 tok/s C 2026-10-10 | 523 tok/s C undated |
| Power | 120 W spec | 130 W spec |
| Perf / W | 0.453 tok/s/W spec | 4.02 tok/s/W spec |
| Price | $3999 list | $3499 list |
| Workloads with data | 1 of 7 | 2 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 NVIDIA Jetson AGX Thor has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Thor | 719 FPS inference_time · b=1 | YOLO26n FP16 · Ultralytics TensorRT · nano (YOLO-n) | B | 130 W spec platform spec envelope (not measured with this result) | Ultralytics docs benchmark table undated |
AMD Ryzen AI Max+ (Strix Halo) iGPU:
No published object detection results for AMD Ryzen AI Max+ (Strix Halo) iGPU 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.
instance segmentation
No published instance segmentation results for AMD Ryzen AI Max+ (Strix Halo) iGPU 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.
pose estimation
No published pose estimation results for AMD Ryzen AI Max+ (Strix Halo) iGPU 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.
image classification
No published image classification results for AMD Ryzen AI Max+ (Strix Halo) iGPU 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.
semantic segmentation
No published semantic segmentation results for AMD Ryzen AI Max+ (Strix Halo) iGPU 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.
speech-to-text
No published speech-to-text results for AMD Ryzen AI Max+ (Strix Halo) iGPU 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.
LLM generation
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Ryzen AI Max+ (Strix Halo) iGPU | 54.38 tok/s tg128 · b=1 | Llama 2 7B Q4_0 · llama.cpp Vulkan (FA on, commit fb4b273) · LLM 5–14B | C | 120 W spec platform spec envelope (not measured with this result) | llama.cpp discussion #10879 Vulkan scoreboard (via GitHub API) 2026-10-10 |
| NVIDIA Jetson AGX Thor | 45.00 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 | D | 130 W spec platform spec envelope (not measured with this result) | NVIDIA Jetson Benchmarks undated |
How to read these numbers
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.