HWBenchedge-AI hardware data, cited & graded

Apple Mac mini M4 Pro 64GB vs NVIDIA Jetson AGX Thor

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.
NVIDIAedge reference · no photo yet
No licensed photo available — placeholder drawing.

Apple Mac mini M4 Pro 64GB is faster in the only like-for-like comparison (largest gap: LLM generation, 1.25×).

Apple Mac mini M4 Pro 64GBNVIDIA Jetson AGX Thor
Best LLM generation5.48 tok/s C
2026 (year only)
523 tok/s C
undated
Power80.00 W measured130 W spec
Perf / W0.0685 tok/s/W measured4.02 tok/s/W spec
Pricen/a$3499 list
Workloads with data1 of 72 of 7

Best published LLM generation result per platform (may be from different like-for-like groups — see data). n/a = not published; never estimated.

Show data — all workloads, sources and like-for-like groups

object detection

Only NVIDIA Jetson AGX Thor has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Thor719 FPS
inference_time · b=1
YOLO26n
FP16 · Ultralytics TensorRT · nano (YOLO-n)
B130 W spec
platform spec envelope (not measured with this result)
Ultralytics docs benchmark table
undated

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 AGX Thor 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 AGX Thor 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 AGX Thor 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 AGX Thor yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

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

LLM generation

✓ Like-for-like: model-size class LLM >40B, batch unknown (size or batch not stated by source — unverified). Model, precision and stack may still differ.
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 (year only)
NVIDIA Jetson AGX Thor4.40 tok/s
tg · b=unknown
70B-class LLM (Q4)
~Q4 · as reviewed (Ollama/llama.cpp class) · LLM >40B
C100 W measured
reported in result source — measured
vminstall.com review
2026 (year only)
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.