HWBench

AMD Ryzen AI Max+ (Strix Halo) iGPU vs Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)

Showing the newest results per platform and source. 11 superseded older results are hidden.Showing all results, including 11 superseded by newer results from the same source.

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) is faster in the only like-for-like comparison (largest gap: LLM generation, 2.07×).

AMD Ryzen AI Max+ (Strix Halo) iGPURadxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)
Best LLM generation54.38 tok/s C
2026-10-10 (page last edited)
214 tok/s C
2025-05-06 (page last edited)
Powern/a320 W ● Measured, Whole system
Perf / Wn/a0.669 tok/s/W ● Measured, Whole system
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

◌

No published object detection results for AMD Ryzen AI Max+ (Strix Halo) iGPU or Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) 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 Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) 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 Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) 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 Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) 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 Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) 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 Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) 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
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)113 tok/s
generation_throughput · b=1
llama3.1:8b
Ollama default tag (4-bit unless tag says otherwise) · Ollama (geerlingguy/ollama-benchmark) · LLM 5–14B
C471 W ● Measured, Whole system
reported in result source — Measured, Whole system
Jeff Geerling ai-benchmarks issue results (comments)
2025-05-06 (page last edited)
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
Cunknown power not published
not published
llama.cpp discussion #10879 Vulkan scoreboard (via GitHub API)
2026-10-10 (page last edited)

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) is faster in the only like-for-like comparison (largest gap: LLM generation, 2.07×).

AMD Ryzen AI Max+ (Strix Halo) iGPURadxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)
Best LLM generation54.38 tok/s C
2026-10-10 (page last edited)
214 tok/s C
2025-05-06 (page last edited)
Powern/a320 W ● Measured, Whole system
Perf / Wn/a0.669 tok/s/W ● Measured, Whole system
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

◌

No published object detection results for AMD Ryzen AI Max+ (Strix Halo) iGPU or Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) 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 Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) 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 Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) 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 Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) 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 Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) 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 Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) 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
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)113 tok/s
generation_throughput · b=1
llama3.1:8b
Ollama default tag (4-bit unless tag says otherwise) · Ollama (geerlingguy/ollama-benchmark) · LLM 5–14B
C471 W ● Measured, Whole system
reported in result source — Measured, Whole system
Jeff Geerling ai-benchmarks issue results (comments)
2025-05-06 (page last edited)
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
Cunknown power not published
not published
llama.cpp discussion #10879 Vulkan scoreboard (via GitHub API)
2026-10-10 (page last edited)

Grades: A audited MLPerf · B third-party · C community · D vendor. How we rank · JSON