Hailo-8L (M.2/PCIe, x86 host) vs Raspberry Pi 5 (CPU only)

Hailo-8L M.2 module from the Raspberry Pi AI Kit, mounted on the Raspberry Pi M.2 HAT+ — Hailo-8L M.2 AI accelerator module (from the Raspberry Pi AI Kit). Photo: SparkFun Electronics, CC BY 2.0, via Wikimedia Commons.

Raspberry Pi 5 single-board computer, top view, showing the Broadcom SoC, RAM, USB and Ethernet ports — Raspberry Pi 5. Photo: SimonWaldherr, CC BY 4.0, via Wikimedia Commons.

Hailo-8L (M.2/PCIe, x86 host) is faster in the only like-for-like comparison (largest gap: object detection, 13.47×).

	Hailo-8L (M.2/PCIe, x86 host)	Raspberry Pi 5 (CPU only)
Best object detection	437 FPS D 2026-10-15 (page last edited)	14.92 FPS B 2026-10-03 (page last edited)
Power	1.50 W spec	n/a
Perf / W	291 FPS/W spec	n/a
Price	n/a	n/a
Workloads with data	6 of 7	4 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.

Platform	Result	Model · precision · stack	Grade	Power	Source
Hailo-8L (M.2/PCIe, x86 host)	201 FPS throughput · b=1	yolov8n INT8 (Hailo quantized) · Hailo DFC v2.20.0 / HailoRT (model zoo) · nano (YOLO-n)	D	1.50 W spec reported in result source — spec	Hailo Model Zoo public models (Hailo-8L) 2026-10-15 (page last edited)
Raspberry Pi 5 (CPU only) CPU-only	14.92 FPS inference_time · b=1	YOLO26n FP32/default · Ultralytics NCNN · nano (YOLO-n)	B	unknown power n/a no power published	Ultralytics documentation (benchmark table) 2026-10-03 (page last edited)

instance segmentation

Only Hailo-8L (M.2/PCIe, x86 host) has published instance segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Hailo-8L (M.2/PCIe, x86 host)	52.90 FPS throughput · b=1	yolov5m_seg INT8 (Hailo quantized) · Hailo DFC v2.20.0 / HailoRT (model zoo) · medium (YOLO-m)	D	1.50 W spec reported in result source — spec	Hailo Model Zoo public models (Hailo-8L) 2026-10-15 (page last edited)

Raspberry Pi 5 (CPU only):

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No published instance segmentation results for Raspberry Pi 5 (CPU only) or Hailo-8L (M.2/PCIe, x86 host) 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 Hailo-8L (M.2/PCIe, x86 host) has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Hailo-8L (M.2/PCIe, x86 host)	795 FPS throughput · b=1	mspn_regnetx_800mf INT8 (Hailo quantized) · Hailo DFC v2.20.0 / HailoRT (model zoo) · mid-size CNN	D	1.50 W spec reported in result source — spec	Hailo Model Zoo public models (Hailo-8L) 2026-10-15 (page last edited)

Raspberry Pi 5 (CPU only):

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No published pose estimation results for Raspberry Pi 5 (CPU only) or Hailo-8L (M.2/PCIe, x86 host) 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 mobile-class CNN at batch 1. Differs: model-size class nano (YOLO-n) vs mobile-class CNN.

Platform	Result	Model · precision · stack	Grade	Power	Source
Hailo-8L (M.2/PCIe, x86 host)	1738 FPS throughput · b=1	mobilenet_v2_1.0 INT8 (Hailo quantized) · Hailo DFC v2.20.0 / HailoRT (model zoo) · mobile-class CNN	D	1.50 W spec reported in result source — spec	Hailo Model Zoo public models (Hailo-8L) 2026-10-15 (page last edited)
Raspberry Pi 5 (CPU only) CPU-only MIXED: model-size class nano (YOLO-n) vs mobile-class CNN	29.59 FPS inference_time · b=1	YOLO26n-cls FP32 · Ultralytics PyTorch (CPU) · nano (YOLO-n)	B	unknown power n/a no power published	Ultralytics documentation: Hailo integration benchmark 2026-10-11 (page last edited)

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

semantic segmentation

⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: model-size class nano (YOLO-n) vs mid-size CNN.

Platform	Result	Model · precision · stack	Grade	Power	Source
Hailo-8L (M.2/PCIe, x86 host)	19.60 FPS throughput · b=1	fcn8_resnet_v1_18 INT8 (Hailo quantized) · Hailo DFC v2.20.0 / HailoRT (model zoo) · mid-size CNN	D	1.50 W spec reported in result source — spec	Hailo Model Zoo public models (Hailo-8L) 2026-10-15 (page last edited)
Raspberry Pi 5 (CPU only) CPU-only MIXED: model-size class nano (YOLO-n) vs mid-size CNN	1.20 FPS inference_time · b=1	YOLO26n-sem FP32 · Ultralytics PyTorch (CPU) · nano (YOLO-n)	B	unknown power n/a no power published	Ultralytics documentation: Hailo integration benchmark 2026-10-11 (page last edited)

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

speech-to-text

Only Hailo-8L (M.2/PCIe, x86 host) has published speech-to-text results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Hailo-8L (M.2/PCIe, x86 host)	41.80 FPS throughput · b=1	whisper_base_5s_no_kqs_decoder INT8 (Hailo quantized) · Hailo DFC v2.20.0 / HailoRT (model zoo) · Whisper base	D	1.50 W spec reported in result source — spec	Hailo Model Zoo public models (Hailo-8L) 2026-10-15 (page last edited)

Raspberry Pi 5 (CPU only):

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No published speech-to-text results for Raspberry Pi 5 (CPU only) or Hailo-8L (M.2/PCIe, x86 host) 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 Raspberry Pi 5 (CPU only) has published LLM generation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Raspberry Pi 5 (CPU only) CPU-only	1.20 tok/s generation_throughput · b=1	DeepSeek R1 14b as in linked issue (Ollama default tags are 4-bit) · Ollama / llama.cpp (see linked issue) · LLM 5–14B	C	13.00 W measured reported in result source — measured	Jeff Geerling ai-benchmarks README (Findings tables) 2026-09-22 (page last edited)

Hailo-8L (M.2/PCIe, x86 host):

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No published LLM generation results for Hailo-8L (M.2/PCIe, x86 host) or Raspberry Pi 5 (CPU only) 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.