HWBench

Apple Mac mini M4 Pro 64GB vs NVIDIA Jetson Orin Nano Super

Apple Mac mini (M4, 2024), small silver aluminium desktop, front view
Apple Mac mini (M4, 2024) — the M4 Pro model shares this enclosure. Photo: Seasider53, CC BY 4.0, via Wikimedia Commons.

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 64GBNVIDIA Jetson Orin Nano Super
Best LLM generation5.48 tok/s C
2026-03-20 (page last edited)
n/a
Power80.00 W measuredn/a
Perf / W0.0685 tok/s/W measuredn/a
Pricen/a$249 list
Workloads with data1 of 72 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 Orin Nano Super has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson Orin Nano Super263 FPS
inference_time · b=1
YOLO26n
INT8 · Ultralytics TensorRT · nano (YOLO-n)
B25.00 W spec
reported in result source — spec
Ultralytics documentation (benchmark table)
2026-10-13 (page last edited)

Apple Mac mini M4 Pro 64GB:

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No published object detection results for Apple Mac mini M4 Pro 64GB or NVIDIA Jetson Orin Nano Super yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

instance segmentation

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No published instance segmentation results for Apple Mac mini M4 Pro 64GB or NVIDIA Jetson Orin Nano Super yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

pose estimation

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No published pose estimation results for Apple Mac mini M4 Pro 64GB or NVIDIA Jetson Orin Nano Super yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

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No published image classification results for Apple Mac mini M4 Pro 64GB or NVIDIA Jetson Orin Nano Super 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 NVIDIA Jetson Orin Nano Super has published semantic segmentation results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson Orin Nano Super67.47 FPS
throughput · b=1
SegFormer-B0 (640x640)
FP16 · TensorRT (ONNX export) · unknown
C25.00 W spec
platform spec envelope (not measured with this result)
arXiv 2608.00927 AgriJetsonBench (abstract figures)
2026-08-02 (published)

Apple Mac mini M4 Pro 64GB:

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No published semantic segmentation results for Apple Mac mini M4 Pro 64GB or NVIDIA Jetson Orin Nano Super 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

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No published speech-to-text results for Apple Mac mini M4 Pro 64GB or NVIDIA Jetson Orin Nano Super 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.

PlatformResultModel · precision · stackGradePowerSource
Apple Mac mini M4 Pro 64GB5.48 tok/s
tg · b=unknown
70B-class LLM (Q4)
~Q4 · as reviewed (Ollama/llama.cpp class) · LLM >40B
C80.00 W measured
reported in result source — measured
vminstall.com review
2026-03-20 (page last edited)

NVIDIA Jetson Orin Nano Super:

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No published LLM generation results for NVIDIA Jetson Orin Nano Super 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
Every number is labelled. Confidence: A MLPerf closed, audited · B documented third-party method · C community / review · D vendor-published, not independently verified · E estimate. Power basis: measured with the result · spec vendor spec/envelope · power n/a not published.

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.