HWBenchedge-AI hardware data, cited & graded

Dell Pro Max with GB10 vs Raspberry Pi 5 (CPU only)

DellAI mini-PC · no photo yet
No licensed photo available — placeholder drawing.
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.

Dell Pro Max with GB10 is faster in all 2 like-for-like comparisons (largest gap: LLM generation, 20.07×).

Dell Pro Max with GB10Raspberry Pi 5 (CPU only)
Best LLM generation97.93 tok/s C
undated
4.88 tok/s C
undated
Power129 W measured11.90 W measured
Perf / W0.762 tok/s/W measured0.410 tok/s/W measured
Pricen/an/a
Workloads with data2 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

⚠ MIXED COMPARISON — not like-for-like. Baseline nano (YOLO-n) at batch 1. Differs: model-size class unknown vs nano (YOLO-n); batch unknown vs 1.
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 n/a
no power published
Ultralytics docs benchmark table
undated
Dell Pro Max with GB10
MIXED: model-size class unknown vs nano (YOLO-n); batch unknown vs 1
78.73 FPS
throughput_offline · b=unknown
MLPerf yolo-95
fp4 · CUDA 13.0 · unknown
Aunknown power n/a
no power published
MLPerf Inference v6.1 (closed, edge) ID Dell_Pro_Max_GB10x1
undated

No shared like-for-like group exists for this pair.

instance segmentation

◌

No published instance segmentation results for Dell Pro Max with GB10 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 Dell Pro Max with GB10 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 n/a
no power published
Ultralytics docs: Hailo integration benchmark
2026 (year only)

Dell Pro Max with GB10:

◌

No published image classification results for Dell Pro Max with GB10 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 n/a
no power published
Ultralytics docs: Hailo integration benchmark
2026 (year only)

Dell Pro Max with GB10:

◌

No published semantic segmentation results for Dell Pro Max with GB10 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 Dell Pro Max with GB10 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
Dell Pro Max with GB1023.92 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
C138 W measured
reported in result source — measured
Jeff Geerling ai-benchmarks README (Findings tables)
undated
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
reported in result source — measured
Jeff Geerling ai-benchmarks README (Findings tables)
undated
✓ Like-for-like: model-size class LLM ≤4B, batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
Dell Pro Max with GB1097.93 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
C129 W measured
reported in result source — measured
Jeff Geerling ai-benchmarks README (Findings tables)
undated
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
reported in result source — measured
Jeff Geerling ai-benchmarks README (Findings tables)
undated
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.