HWBench

Apple M4 (10-core GPU, 120 GB/s) vs HPE ProLiant Compute XD685 (8x AMD Instinct MI355X 288GB HBM3e)

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.

Only Apple M4 (10-core GPU, 120 GB/s) has published results here; HPE ProLiant Compute XD685 (8x AMD Instinct MI355X 288GB HBM3e) has none for the workloads we track.

Apple M4 (10-core GPU, 120 GB/s)HPE ProLiant Compute XD685 (8x AMD Instinct MI355X 288GB HBM3e)
Best object detection357 FPS B
2026-10-01 (page last edited)
n/a
Powern/an/a
Perf / Wn/an/a
Pricen/an/a
Workloads with data6 of 70 of 7

Best published object detection result per platform. n/a = not published; never estimated.

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

object detection

Only Apple M4 (10-core GPU, 120 GB/s) has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
Apple M4 (10-core GPU, 120 GB/s)357 FPS
latency_e2e · b=1
YOLO26n
FP16 · Ultralytics 8.4.168 Core AI (coreai-torch 0.4.3), macOS 27.0 · nano (YOLO-n)
Bunknown power n/a
no power published
Ultralytics documentation: Apple Core AI integration benchmark
2026-10-01 (page last edited)

HPE ProLiant Compute XD685 (8x AMD Instinct MI355X 288GB HBM3e):

◌

No published object detection results for HPE ProLiant Compute XD685 (8x AMD Instinct MI355X 288GB HBM3e) or Apple M4 (10-core GPU, 120 GB/s) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

instance segmentation

Only Apple M4 (10-core GPU, 120 GB/s) has published instance segmentation results.

PlatformResultModel · precision · stackGradePowerSource
Apple M4 (10-core GPU, 120 GB/s)196 FPS
latency_e2e · b=1
YOLO26n-seg
FP16 · Ultralytics 8.4.168 Core AI (coreai-torch 0.4.3), macOS 27.0 · nano (YOLO-n)
Bunknown power n/a
no power published
Ultralytics documentation: Apple Core AI integration benchmark
2026-10-01 (page last edited)

HPE ProLiant Compute XD685 (8x AMD Instinct MI355X 288GB HBM3e):

◌

No published instance segmentation results for HPE ProLiant Compute XD685 (8x AMD Instinct MI355X 288GB HBM3e) or Apple M4 (10-core GPU, 120 GB/s) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

pose estimation

Only Apple M4 (10-core GPU, 120 GB/s) has published pose estimation results.

PlatformResultModel · precision · stackGradePowerSource
Apple M4 (10-core GPU, 120 GB/s)370 FPS
latency_e2e · b=1
YOLO26n-pose
FP16 · Ultralytics 8.4.168 Core AI (coreai-torch 0.4.3), macOS 27.0 · nano (YOLO-n)
Bunknown power n/a
no power published
Ultralytics documentation: Apple Core AI integration benchmark
2026-10-01 (page last edited)

HPE ProLiant Compute XD685 (8x AMD Instinct MI355X 288GB HBM3e):

◌

No published pose estimation results for HPE ProLiant Compute XD685 (8x AMD Instinct MI355X 288GB HBM3e) or Apple M4 (10-core GPU, 120 GB/s) 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 Apple M4 (10-core GPU, 120 GB/s) has published image classification results.

PlatformResultModel · precision · stackGradePowerSource
Apple M4 (10-core GPU, 120 GB/s)417 FPS
latency_e2e · b=1
YOLO26n-cls
FP16 · Ultralytics 8.4.168 Core AI (coreai-torch 0.4.3), macOS 27.0 · nano (YOLO-n)
Bunknown power n/a
no power published
Ultralytics documentation: Apple Core AI integration benchmark
2026-10-01 (page last edited)

HPE ProLiant Compute XD685 (8x AMD Instinct MI355X 288GB HBM3e):

◌

No published image classification results for HPE ProLiant Compute XD685 (8x AMD Instinct MI355X 288GB HBM3e) or Apple M4 (10-core GPU, 120 GB/s) 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 Apple M4 (10-core GPU, 120 GB/s) has published semantic segmentation results.

PlatformResultModel · precision · stackGradePowerSource
Apple M4 (10-core GPU, 120 GB/s)53.48 FPS
latency_e2e · b=1
YOLO26n-sem
FP16 · Ultralytics 8.4.168 Core AI (coreai-torch 0.4.3), macOS 27.0 · nano (YOLO-n)
Bunknown power n/a
no power published
Ultralytics documentation: Apple Core AI integration benchmark
2026-10-01 (page last edited)

HPE ProLiant Compute XD685 (8x AMD Instinct MI355X 288GB HBM3e):

◌

No published semantic segmentation results for HPE ProLiant Compute XD685 (8x AMD Instinct MI355X 288GB HBM3e) or Apple M4 (10-core GPU, 120 GB/s) 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

◌

No published speech-to-text results for Apple M4 (10-core GPU, 120 GB/s) or HPE ProLiant Compute XD685 (8x AMD Instinct MI355X 288GB HBM3e) 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 M4 (10-core GPU, 120 GB/s) has published LLM generation results.

PlatformResultModel · precision · stackGradePowerSource
Apple M4 (10-core GPU, 120 GB/s)24.11 tok/s
tg128 · b=1
Llama 2 7B
Q4_0 · llama.cpp Metal (commit 8e672ef) · LLM 5–14B
Cunknown power n/a
no power published
llama.cpp discussion #4167 scoreboard (via GitHub API)
2026-10-01 (page last edited)

HPE ProLiant Compute XD685 (8x AMD Instinct MI355X 288GB HBM3e):

◌

No published LLM generation results for HPE ProLiant Compute XD685 (8x AMD Instinct MI355X 288GB HBM3e) or Apple M4 (10-core GPU, 120 GB/s) 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.