HWBench

NVIDIA Jetson Thor T4000 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Showing the newest results per platform and source. 11 superseded older results are hidden.Showing all results, including 11 superseded by newer results from the same source.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 all 2 like-for-like comparisons (largest gap: LLM generation, 3.22×).

NVIDIA Jetson Thor T4000Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)
Best LLM generation423 tok/s C
2026-07-21 (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
Pricen/an/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 NVIDIA Jetson Thor T4000 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 NVIDIA Jetson Thor T4000 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 NVIDIA Jetson Thor T4000 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 NVIDIA Jetson Thor T4000 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 NVIDIA Jetson Thor T4000 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 NVIDIA Jetson Thor T4000 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)
NVIDIA Jetson Thor T400035.00 tok/s
generation_throughput · b=1
Qwen 3 8B
NVFP4 · vLLM · LLM 5–14B
Cunknown power not published
not published
NVIDIA Jetson AI Lab benchmarks (benchmarks.json)
2026-07-21 (page last edited)
✓ Like-for-like: model-size class LLM ≤4B, batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)214 tok/s
generation_throughput · b=1
deepseek-r1:1.5b
Ollama default tag (4-bit unless tag says otherwise) · Ollama (geerlingguy/ollama-benchmark) · LLM ≤4B
C320 W ● Measured, Whole system
reported in result source — Measured, Whole system
Jeff Geerling ai-benchmarks issue results (comments)
2025-05-06 (page last edited)
NVIDIA Jetson Thor T400095.00 tok/s
generation_throughput · b=1
Qwen3-VL-2B
NVFP4 · vLLM · LLM ≤4B
Cunknown power not published
not published
NVIDIA Jetson AI Lab benchmarks (benchmarks.json)
2026-07-21 (page last edited)

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) is faster in all 2 like-for-like comparisons (largest gap: LLM generation, 3.22×).

NVIDIA Jetson Thor T4000Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)
Best LLM generation423 tok/s C
2026-07-21 (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
Pricen/an/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 NVIDIA Jetson Thor T4000 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 NVIDIA Jetson Thor T4000 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 NVIDIA Jetson Thor T4000 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 NVIDIA Jetson Thor T4000 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 NVIDIA Jetson Thor T4000 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 NVIDIA Jetson Thor T4000 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)
NVIDIA Jetson Thor T400035.00 tok/s
generation_throughput · b=1
Qwen 3 8B
NVFP4 · vLLM · LLM 5–14B
Cunknown power not published
not published
NVIDIA Jetson AI Lab benchmarks (benchmarks.json)
2026-07-21 (page last edited)
✓ Like-for-like: model-size class LLM ≤4B, batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)214 tok/s
generation_throughput · b=1
deepseek-r1:1.5b
Ollama default tag (4-bit unless tag says otherwise) · Ollama (geerlingguy/ollama-benchmark) · LLM ≤4B
C320 W ● Measured, Whole system
reported in result source — Measured, Whole system
Jeff Geerling ai-benchmarks issue results (comments)
2025-05-06 (page last edited)
NVIDIA Jetson Thor T400095.00 tok/s
generation_throughput · b=1
Qwen3-VL-2B
NVFP4 · vLLM · LLM ≤4B
Cunknown power not published
not published
NVIDIA Jetson AI Lab benchmarks (benchmarks.json)
2026-07-21 (page last edited)

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