HWBench

Intel Xeon Platinum 8480+ 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.

Intel Xeon Platinum 8480+Raspberry Pi 5 + AI HAT+ (Hailo-8)
Best object detection2433 FPS D
2026-10-01 (published)
76.99 FPS C
2025-12-16 (page last edited)
Powern/an/a
Perf / Wn/an/a
Pricen/an/a
Workloads with data2 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); batch unknown vs 1.
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)
Intel Xeon Platinum 8480+ CPU-only
MIXED: model-size class unknown vs nano (YOLO-n); batch unknown vs 1
2433 FPS
throughput (OpenVINO benchmark_app) · b=unknown
yolo_v8n
BF16 · OpenVINO 2026.4.1 · unknown
Dunknown power n/a
no power published
OpenVINO official performance benchmarks (graph-data-ov.json)
2026-10-01 (published)

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

instance segmentation

◌

No published instance segmentation results for Intel Xeon Platinum 8480+ 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.

pose estimation

◌

No published pose estimation results for Intel Xeon Platinum 8480+ 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.

image classification

⚠ MIXED COMPARISON — not like-for-like. Baseline nano (YOLO-n) at batch 1. Differs: model-size class mobile-class CNN vs nano (YOLO-n); batch unknown vs 1.
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)
Intel Xeon Platinum 8480+ CPU-only
MIXED: model-size class mobile-class CNN vs nano (YOLO-n); batch unknown vs 1
37258 FPS
throughput (OpenVINO benchmark_app) · b=unknown
mobilenet-v2
INT8 · OpenVINO 2026.4.1 · mobile-class CNN
Dunknown power n/a
no power published
OpenVINO official performance benchmarks (graph-data-ov.json)
2026-10-01 (published)

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

semantic segmentation

Only Raspberry Pi 5 + AI HAT+ (Hailo-8) has published semantic segmentation results.

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)

Intel Xeon Platinum 8480+:

◌

No published semantic segmentation results for Intel Xeon Platinum 8480+ 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.

speech-to-text

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No published speech-to-text results for Intel Xeon Platinum 8480+ 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

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No published LLM generation results for Intel Xeon Platinum 8480+ 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.