HWBench

MemryX MX3 M.2 module vs Raspberry Pi 5 + AI HAT+ (Hailo-8)

Raspberry Pi AI HAT+ with Hailo-8 accelerator mounted on a Raspberry Pi, angled view
Raspberry Pi AI HAT+ (Hailo-8). Photo: SparkFun Electronics, CC BY 2.0, 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.

MemryX MX3 M.2 moduleRaspberry Pi 5 + AI HAT+ (Hailo-8)
Best object detection8519 FPS C
2026-07-15 (published)
76.99 FPS C
2025-12-16 (page last edited)
Powern/an/a
Perf / Wn/an/a
Pricen/an/a
Workloads with data5 of 73 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

⚠ MIXED COMPARISON — not like-for-like. Baseline nano (YOLO-n) at batch 1. Differs: model-size class unknown vs nano (YOLO-n).
PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 + AI HAT+ (Hailo-8)46.08 FPS
inference_time · b=1
YOLO26n
INT8 · Ultralytics Hailo HEF / HailoRT · nano (YOLO-n)
Bunknown power n/a
no power published
Ultralytics documentation: Hailo integration benchmark
2026-10-11 (page last edited)
MemryX MX3 M.2 module
MIXED: model-size class unknown vs nano (YOLO-n)
8519 FPS
throughput · b=1
Malaria-Detector
not stated (MX3 activations BF16 / weights 4-8-16 bit per vendor) · MemryX SDK 2.2 (closed-loop compiled DFP) · unknown
Cunknown power n/a
no power published
MemryX Model Explorer (SDK 2.2)
2026-07-15 (published)

No shared like-for-like group exists for this pair.

instance segmentation

Only MemryX MX3 M.2 module has published instance segmentation results.

PlatformResultModel · precision · stackGradePowerSource
MemryX MX3 M.2 module1023 FPS
throughput · b=1
YOLO26-nano-seg
not stated (MX3 activations BF16 / weights 4-8-16 bit per vendor) · MemryX SDK 2.2 (closed-loop compiled DFP) · unknown
Cunknown power n/a
no power published
MemryX Model Explorer (SDK 2.2)
2026-07-15 (published)

Raspberry Pi 5 + AI HAT+ (Hailo-8):

◌

No published instance segmentation results for Raspberry Pi 5 + AI HAT+ (Hailo-8) or MemryX MX3 M.2 module 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 MemryX MX3 M.2 module has published pose estimation results.

PlatformResultModel · precision · stackGradePowerSource
MemryX MX3 M.2 module2721 FPS
throughput · b=1
MoveNet.SinglePose.Lightning
not stated (MX3 activations BF16 / weights 4-8-16 bit per vendor) · MemryX SDK 2.2 (closed-loop compiled DFP) · mobile-class CNN
Cunknown power n/a
no power published
MemryX Model Explorer (SDK 2.2)
2026-07-15 (published)

Raspberry Pi 5 + AI HAT+ (Hailo-8):

◌

No published pose estimation results for Raspberry Pi 5 + AI HAT+ (Hailo-8) or MemryX MX3 M.2 module yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

⚠ MIXED COMPARISON — not like-for-like. Baseline nano (YOLO-n) at batch 1. Differs: model-size class unknown vs nano (YOLO-n).
PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 + AI HAT+ (Hailo-8)500 FPS
inference_time · b=1
YOLO26n-cls
INT8 · Ultralytics Hailo HEF / HailoRT · nano (YOLO-n)
Bunknown power n/a
no power published
Ultralytics documentation: Hailo integration benchmark
2026-10-11 (page last edited)
MemryX MX3 M.2 module
MIXED: model-size class unknown vs nano (YOLO-n)
10057 FPS
throughput · b=1
Vehicle-Attributes-recog-barrier-0039
not stated (MX3 activations BF16 / weights 4-8-16 bit per vendor) · MemryX SDK 2.2 (closed-loop compiled DFP) · unknown
Cunknown power n/a
no power published
MemryX Model Explorer (SDK 2.2)
2026-07-15 (published)

No shared like-for-like group exists for this pair.

semantic segmentation

⚠ MIXED COMPARISON — not like-for-like. Baseline nano (YOLO-n) at batch 1. Differs: model-size class mobile-class CNN vs nano (YOLO-n).
PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 + AI HAT+ (Hailo-8)28.74 FPS
inference_time · b=1
YOLO26n-sem
INT8 · Ultralytics Hailo HEF / HailoRT · nano (YOLO-n)
Bunknown power n/a
no power published
Ultralytics documentation: Hailo integration benchmark
2026-10-11 (page last edited)
MemryX MX3 M.2 module
MIXED: model-size class mobile-class CNN vs nano (YOLO-n)
2002 FPS
throughput · b=1
MediaPipe-selfie-segmentation-landscape
not stated (MX3 activations BF16 / weights 4-8-16 bit per vendor) · MemryX SDK 2.2 (closed-loop compiled DFP) · mobile-class CNN
Cunknown power n/a
no power published
MemryX Model Explorer (SDK 2.2)
2026-07-15 (published)

No shared like-for-like group exists for this pair.

speech-to-text

◌

No published speech-to-text results for MemryX MX3 M.2 module or Raspberry Pi 5 + AI HAT+ (Hailo-8) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM generation

◌

No published LLM generation results for MemryX MX3 M.2 module or Raspberry Pi 5 + AI HAT+ (Hailo-8) 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.