HWBench

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) vs Raspberry Pi 5 (CPU only)

Raspberry Pi 5 single-board computer, top view, showing the Broadcom SoC, RAM, USB and Ethernet ports
Raspberry Pi 5. Photo: SimonWaldherr, CC BY 4.0, via Wikimedia Commons.
Showing the newest results per platform and source. 11 superseded older results are hidden.Showing all results, including 11 superseded by newer results from the same source.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, 93.93×).

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)Raspberry Pi 5 (CPU only)
Best LLM generation214 tok/s C
2025-05-06 (page last edited)
4.88 tok/s C
2026-09-22 (page last edited)
Power320 W ● Measured, Whole system11.90 W ● Measured, Whole system
Perf / W0.669 tok/s/W ● Measured, Whole system0.410 tok/s/W ● Measured, Whole system
Pricen/an/a
Workloads with data1 of 74 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 Raspberry Pi 5 (CPU only) has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 (CPU only) CPU-only14.92 FPS
inference_time · b=1
YOLO26n
FP32/default · Ultralytics NCNN · nano (YOLO-n)
Bunknown power not published
not published
Ultralytics documentation (benchmark table)
2026-10-03 (page last edited)

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):

◌

No published object detection results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or Raspberry Pi 5 (CPU only) 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 Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or Raspberry Pi 5 (CPU only) 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 Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or Raspberry Pi 5 (CPU only) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

Only Raspberry Pi 5 (CPU only) has published image classification results.

PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 (CPU only) CPU-only29.59 FPS
inference_time · b=1
YOLO26n-cls
FP32 · Ultralytics PyTorch (CPU) · nano (YOLO-n)
Bunknown power not published
not published
Ultralytics documentation: Hailo integration benchmark
2026-10-11 (page last edited)

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):

◌

No published image classification results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or Raspberry Pi 5 (CPU only) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

Only Raspberry Pi 5 (CPU only) has published semantic segmentation results.

PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 (CPU only) CPU-only1.20 FPS
inference_time · b=1
YOLO26n-sem
FP32 · Ultralytics PyTorch (CPU) · nano (YOLO-n)
Bunknown power not published
not published
Ultralytics documentation: Hailo integration benchmark
2026-10-11 (page last edited)

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):

◌

No published semantic segmentation results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or Raspberry Pi 5 (CPU only) 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 Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or Raspberry Pi 5 (CPU only) 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)
Raspberry Pi 5 (CPU only) CPU-only1.20 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
C13.00 W ● Measured, Whole system
reported in result source — Measured, Whole system
Jeff Geerling ai-benchmarks README (Findings tables)
2026-09-22 (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)
Raspberry Pi 5 (CPU only) CPU-only4.88 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
C11.90 W ● Measured, Whole system
reported in result source — Measured, Whole system
Jeff Geerling ai-benchmarks README (Findings tables)
2026-09-22 (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, 93.93×).

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)Raspberry Pi 5 (CPU only)
Best LLM generation214 tok/s C
2025-05-06 (page last edited)
4.88 tok/s C
2026-09-22 (page last edited)
Power320 W ● Measured, Whole system11.90 W ● Measured, Whole system
Perf / W0.669 tok/s/W ● Measured, Whole system0.410 tok/s/W ● Measured, Whole system
Pricen/an/a
Workloads with data1 of 74 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 Raspberry Pi 5 (CPU only) has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 (CPU only) CPU-only14.92 FPS
inference_time · b=1
YOLO26n
FP32/default · Ultralytics NCNN · nano (YOLO-n)
Bunknown power not published
not published
Ultralytics documentation (benchmark table)
2026-10-03 (page last edited)

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):

◌

No published object detection results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or Raspberry Pi 5 (CPU only) 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 Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or Raspberry Pi 5 (CPU only) 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 Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or Raspberry Pi 5 (CPU only) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

Only Raspberry Pi 5 (CPU only) has published image classification results.

PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 (CPU only) CPU-only29.59 FPS
inference_time · b=1
YOLO26n-cls
FP32 · Ultralytics PyTorch (CPU) · nano (YOLO-n)
Bunknown power not published
not published
Ultralytics documentation: Hailo integration benchmark
2026-10-11 (page last edited)

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):

◌

No published image classification results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or Raspberry Pi 5 (CPU only) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

Only Raspberry Pi 5 (CPU only) has published semantic segmentation results.

PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 (CPU only) CPU-only1.20 FPS
inference_time · b=1
YOLO26n-sem
FP32 · Ultralytics PyTorch (CPU) · nano (YOLO-n)
Bunknown power not published
not published
Ultralytics documentation: Hailo integration benchmark
2026-10-11 (page last edited)

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):

◌

No published semantic segmentation results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or Raspberry Pi 5 (CPU only) 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 Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or Raspberry Pi 5 (CPU only) 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)
Raspberry Pi 5 (CPU only) CPU-only1.20 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
C13.00 W ● Measured, Whole system
reported in result source — Measured, Whole system
Jeff Geerling ai-benchmarks README (Findings tables)
2026-09-22 (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)
Raspberry Pi 5 (CPU only) CPU-only4.88 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
C11.90 W ● Measured, Whole system
reported in result source — Measured, Whole system
Jeff Geerling ai-benchmarks README (Findings tables)
2026-09-22 (page last edited)

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