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

Dell Pro Max with GB10 is faster in all 2 like-for-like comparisons (largest gap: LLM generation, 20.07×).
| Dell Pro Max with GB10 | Raspberry Pi 5 (CPU only) | |
|---|---|---|
| Best LLM generation | 97.93 tok/s C undated | 4.88 tok/s C undated |
| Power | 129 W measured | 11.90 W measured |
| Perf / W | 0.762 tok/s/W measured | 0.410 tok/s/W measured |
| Price | n/a | n/a |
| Workloads with data | 2 of 7 | 4 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
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Raspberry Pi 5 (CPU only) CPU-only | 14.92 FPS inference_time · b=1 | YOLO26n FP32/default · Ultralytics NCNN · nano (YOLO-n) | B | unknown 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 | A | unknown 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.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Raspberry Pi 5 (CPU only) CPU-only | 29.59 FPS inference_time · b=1 | YOLO26n-cls FP32 · Ultralytics PyTorch (CPU) · nano (YOLO-n) | B | unknown 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.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Raspberry Pi 5 (CPU only) CPU-only | 1.20 FPS inference_time · b=1 | YOLO26n-sem FP32 · Ultralytics PyTorch (CPU) · nano (YOLO-n) | B | unknown 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
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Dell Pro Max with GB10 | 23.92 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 | C | 138 W measured reported in result source — measured | Jeff Geerling ai-benchmarks README (Findings tables) undated |
| Raspberry Pi 5 (CPU only) CPU-only | 1.20 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 | C | 13.00 W measured reported in result source — measured | Jeff Geerling ai-benchmarks README (Findings tables) undated |
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Dell Pro Max with GB10 | 97.93 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 | C | 129 W measured reported in result source — measured | Jeff Geerling ai-benchmarks README (Findings tables) undated |
| Raspberry Pi 5 (CPU only) CPU-only | 4.88 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 | C | 11.90 W measured reported in result source — measured | Jeff Geerling ai-benchmarks README (Findings tables) 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.