Apple Mac mini M4 Pro 64GB vs NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB)
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 | NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) | |
|---|---|---|
| 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 NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) 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 NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) 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 NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) 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 NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
semantic segmentation
No published semantic segmentation results for Apple Mac mini M4 Pro 64GB or NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) 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
Only NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) has published speech-to-text results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) | 53267 FPS throughput_offline · b=unknown | MLPerf whisper fp16 · TensorRT 10.14, CUDA 13.1 · unknown | A | unknown power n/a no power published | MLPerf Inference v6.1, closed division, data-centre suite 2026-09-16 (published) |
Apple Mac mini M4 Pro 64GB:
No published speech-to-text results for Apple Mac mini M4 Pro 64GB or NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) 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) |
NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB):
No published LLM generation results for NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) 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.