Apple Mac mini M4 Pro 64GB vs Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, 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 | Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) | |
|---|---|---|
| Best LLM generation | 5.48 tok/s C 2026-03-20 (page last edited) | n/a |
| Power | 80.00 W measured | n/a |
| Perf / W | 0.0685 tok/s/W measured | n/a |
| Price | n/a | n/a |
| Workloads with data | 1 of 7 | 1 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
No published object detection results for Apple Mac mini M4 Pro 64GB or Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, 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
No published image classification results for Apple Mac mini M4 Pro 64GB or Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) CPU-only | 5.24 FPS inference_time · b=1 | Unet Mv2 (128x128) TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN | D | unknown power n/a no power published | Google Coral Edge TPU benchmarks page (Table 1) Older data (2020) |
Apple Mac mini M4 Pro 64GB:
No published semantic segmentation results for Apple Mac mini M4 Pro 64GB or Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, 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
Only Apple Mac mini M4 Pro 64GB has published LLM generation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Apple Mac mini M4 Pro 64GB | 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 2026-03-20 (page last edited) |
Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only):
No published LLM generation results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) or Apple Mac mini M4 Pro 64GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
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 | Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) | |
|---|---|---|
| Best LLM generation | 5.48 tok/s C 2026-03-20 (page last edited) | n/a |
| Power | 80.00 W measured | n/a |
| Perf / W | 0.0685 tok/s/W measured | n/a |
| Price | n/a | n/a |
| Workloads with data | 1 of 7 | 3 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) CPU-only | 3.55 FPS inference_time · b=1 | MobileNet v2 SSD (224x224) TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mobile-class CNN | D | unknown power n/a no power published | Google Coral Edge TPU benchmarks page (Table 1) Older data (2019) |
Apple Mac mini M4 Pro 64GB:
No published object detection results for Apple Mac mini M4 Pro 64GB or Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) CPU-only | 0.570 FPS inference_time · b=1 | ResNet-50 V1 (299x299) TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN | D | unknown power n/a no power published | Google Coral Edge TPU benchmarks page (Table 1) Older data (2019) |
Apple Mac mini M4 Pro 64GB:
No published image classification results for Apple Mac mini M4 Pro 64GB or Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) CPU-only | 5.24 FPS inference_time · b=1 | Unet Mv2 (128x128) TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN | D | unknown power n/a no power published | Google Coral Edge TPU benchmarks page (Table 1) Older data (2020) |
Apple Mac mini M4 Pro 64GB:
No published semantic segmentation results for Apple Mac mini M4 Pro 64GB or Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, 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
Only Apple Mac mini M4 Pro 64GB has published LLM generation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Apple Mac mini M4 Pro 64GB | 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 2026-03-20 (page last edited) |
Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only):
No published LLM generation results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) or Apple Mac mini M4 Pro 64GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
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.