Apple Mac mini M4 Pro 64GB vs NVIDIA Jetson AGX Orin 64GB
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 Jetson AGX Orin 64GB | |
|---|---|---|
| Best LLM generation | 5.48 tok/s C 2026 (year only) | 273 tok/s C undated |
| Power | 80.00 W measured | 65.00 W spec |
| Perf / W | 0.0685 tok/s/W measured | 4.20 tok/s/W spec |
| Price | n/a | $1999 list |
| 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 NVIDIA Jetson AGX Orin 64GB has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 435 FPS inference_time · b=1 | YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n) | B | 65.00 W spec platform spec envelope (not measured with this result) | Ultralytics docs benchmark table undated |
Apple Mac mini M4 Pro 64GB:
No published object detection results for Apple Mac mini M4 Pro 64GB or NVIDIA Jetson AGX Orin 64GB 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 Jetson AGX Orin 64GB 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 Jetson AGX Orin 64GB 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 NVIDIA Jetson AGX Orin 64GB has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 6424 FPS throughput_offline · b=unknown | MLPerf ResNet INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · mid-size CNN | D | 65.00 W spec platform spec envelope (not measured with this result) | NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) 2026-10 |
Apple Mac mini M4 Pro 64GB:
No published image classification results for Apple Mac mini M4 Pro 64GB or NVIDIA Jetson AGX Orin 64GB 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 Jetson AGX Orin 64GB 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 Jetson AGX Orin 64GB has published speech-to-text results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 1170 FPS throughput_offline · b=unknown | MLPerf RNN-T INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · RNN-T | D | 65.00 W spec platform spec envelope (not measured with this result) | NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) 2026-10 |
Apple Mac mini M4 Pro 64GB:
No published speech-to-text results for Apple Mac mini M4 Pro 64GB or NVIDIA Jetson AGX Orin 64GB 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 |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 30.00 tok/s generation_throughput · b=1 | Qwen 3 8B W4A16 · vLLM · LLM 5–14B | C | 65.00 W spec platform spec envelope (not measured with this result) | NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 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.