HWBench

Apple Mac mini M4 Pro 64GB vs Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite)

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 64GBTerasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite)
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/an/a
Workloads with data1 of 73 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 Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite)117 FPS
throughput · b=1
yolo-v3-tiny-tf
FP16 · FPGA AI Suite 2026.1.1 / OpenVINO; IP throughput (hostless) · unknown
Dunknown power n/a
no power published
Altera FPGA AI Suite Handbook (performance tables)
2026-08-10 (published)

Apple Mac mini M4 Pro 64GB:

◌

No published object detection results for Apple Mac mini M4 Pro 64GB or Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) 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 Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) 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 Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) 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 Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) has published image classification results.

PlatformResultModel · precision · stackGradePowerSource
Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite)1391 FPS
throughput · b=1
mobilenet-v1-1.0-224
not stated in table (set by .arch file) · FPGA AI Suite 2026.1.1 / OpenVINO; IP throughput (hostless) · mobile-class CNN
Dunknown power n/a
no power published
Altera FPGA AI Suite Handbook (performance tables)
2026-08-10 (published)

Apple Mac mini M4 Pro 64GB:

◌

No published image classification results for Apple Mac mini M4 Pro 64GB or Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) 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 Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) has published semantic segmentation results.

PlatformResultModel · precision · stackGradePowerSource
Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite)10.26 FPS
throughput · b=1
unet-camvid-onnx-0001
not stated in table (set by .arch file) · FPGA AI Suite 2026.1.1 / OpenVINO; IP throughput (hostless) · mid-size CNN
Dunknown power n/a
no power published
Altera FPGA AI Suite Handbook (performance tables)
2026-08-10 (published)

Apple Mac mini M4 Pro 64GB:

◌

No published semantic segmentation results for Apple Mac mini M4 Pro 64GB or Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) 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 Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) 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)

Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite):

◌

No published LLM generation results for Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) 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.