Apple Mac mini M4 Pro 64GB vs Raspberry Pi 5 (CPU only)


No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| Apple Mac mini M4 Pro 64GB | Raspberry Pi 5 (CPU only) | |
|---|---|---|
| Best LLM generation | 5.48 tok/s C 2026 (year only) | 4.88 tok/s C undated |
| Power | 80.00 W measured | 11.90 W measured |
| Perf / W | 0.0685 tok/s/W measured | 0.410 tok/s/W measured |
| Price | n/a | n/a |
| Workloads with data | 1 of 7 | 4 of 7 |
Best published LLM generation result per platform. 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.
| 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 |
Apple Mac mini M4 Pro 64GB:
No published object detection results for Apple Mac mini M4 Pro 64GB 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 Apple Mac mini M4 Pro 64GB 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 Apple Mac mini M4 Pro 64GB 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) |
Apple Mac mini M4 Pro 64GB:
No published image classification results for Apple Mac mini M4 Pro 64GB 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) |
Apple Mac mini M4 Pro 64GB:
No published semantic segmentation results for Apple Mac mini M4 Pro 64GB 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 Apple Mac mini M4 Pro 64GB 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 |
|---|---|---|---|---|---|
| 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 |
| Apple Mac mini M4 Pro 64GB MIXED: model-size class LLM >40B vs LLM 5–14B; batch unknown vs 1 | 5.48 tok/s tg · b=unknown | 70B-class LLM (Q4) ~Q4 · as reviewed (Ollama/llama.cpp class) · LLM >40B | C | 80.00 W measured reported in result source — measured | vminstall.com review 2026 (year only) |
No shared like-for-like group exists for this pair.
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.