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NVIDIA DGX Spark vs Raspberry Pi 5 + AI HAT+ (Hailo-8)

NVIDIA DGX Spark desktop AI computer, gold metal-foam chassis, oblique view on a wooden table
NVIDIA DGX Spark. Photo: Daniel Lu (User:dllu), CC BY-SA 4.0, via Wikimedia Commons.
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.

NVIDIA DGX Spark is faster in the only like-for-like comparison (largest gap: object detection, 21.49×).

NVIDIA DGX SparkRaspberry Pi 5 + AI HAT+ (Hailo-8)
Best object detection990 FPS B
undated
76.99 FPS C
2025-12 (updated)
Power153 W specn/a
Perf / W6.47 FPS/W specn/a
Price$4699 listn/a
Workloads with data2 of 73 of 7

Best published object detection 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

✓ Like-for-like: model-size class nano (YOLO-n), batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
NVIDIA DGX Spark990 FPS
inference_time · b=1
YOLO11n
FP16 · Ultralytics TensorRT · nano (YOLO-n)
B153 W spec
platform spec envelope (not measured with this result)
Ultralytics docs benchmark table
undated
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 docs: Hailo integration benchmark
2026 (year only)

instance segmentation

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No published instance segmentation results for NVIDIA DGX Spark 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

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No published pose estimation results for NVIDIA DGX Spark 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

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

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 docs: Hailo integration benchmark
2026 (year only)

NVIDIA DGX Spark:

◌

No published image classification results for NVIDIA DGX Spark 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.

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 docs: Hailo integration benchmark
2026 (year only)

NVIDIA DGX Spark:

◌

No published semantic segmentation results for NVIDIA DGX Spark 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 NVIDIA DGX Spark 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

Only NVIDIA DGX Spark has published LLM generation results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA DGX Spark60.39 tok/s
tg128 · b=1
Llama 2 7B
Q4_0 · llama.cpp Vulkan (FA on, commit 657e011) · LLM 5–14B
C153 W spec
platform spec envelope (not measured with this result)
llama.cpp discussion #10879 Vulkan scoreboard (via GitHub API)
2026-10-10

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

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No published LLM generation results for Raspberry Pi 5 + AI HAT+ (Hailo-8) or NVIDIA DGX Spark 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.