HWBenchedge-AI hardware data, cited & graded

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

HailoAI accelerator (M.2) · no photo yet
No licensed photo available — placeholder drawing.
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-8 (M.2/PCIe, x86 host) is faster in the only like-for-like comparison (largest gap: object detection, 69.44×).

Hailo-8 (M.2/PCIe, x86 host)Raspberry Pi 5 (CPU only)
Best object detection1036 FPS D
undated
14.92 FPS B
undated
Power2.50 W specn/a
Perf / W414 FPS/W specn/a
Pricen/an/a
Workloads with data6 of 74 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
Hailo-8 (M.2/PCIe, x86 host)1036 FPS
throughput · b=1
yolov8n
INT8 (Hailo quantized) · Hailo DFC v2.20.0 / HailoRT (model zoo) · nano (YOLO-n)
D2.50 W spec
reported in result source — spec
Hailo Model Zoo public models (Hailo-8)
undated
Raspberry Pi 5 (CPU only) CPU-only14.92 FPS
inference_time · b=1
YOLO26n
FP32/default · Ultralytics NCNN · nano (YOLO-n)
Bunknown power n/a
no power published
Ultralytics docs benchmark table
undated

instance segmentation

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

PlatformResultModel · precision · stackGradePowerSource
Hailo-8 (M.2/PCIe, x86 host)68.70 FPS
throughput · b=1
yolov5m_seg
INT8 (Hailo quantized) · Hailo DFC v2.20.0 / HailoRT (model zoo) · medium (YOLO-m)
D2.50 W spec
reported in result source — spec
Hailo Model Zoo public models (Hailo-8)
undated

Raspberry Pi 5 (CPU only):

◌

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

PlatformResultModel · precision · stackGradePowerSource
Hailo-8 (M.2/PCIe, x86 host)68.60 FPS
throughput · b=1
yolov8m_pose
INT8 (Hailo quantized) · Hailo DFC v2.20.0 / HailoRT (model zoo) · medium (YOLO-m)
D2.50 W spec
reported in result source — spec
Hailo Model Zoo public models (Hailo-8)
undated

Raspberry Pi 5 (CPU only):

◌

No published pose estimation results for Raspberry Pi 5 (CPU only) or Hailo-8 (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.
PlatformResultModel · precision · stackGradePowerSource
Hailo-8 (M.2/PCIe, x86 host)2597 FPS
throughput · b=1
mobilenet_v2_1.0
INT8 (Hailo quantized) · Hailo DFC v2.20.0 / HailoRT (model zoo) · mobile-class CNN
D2.50 W spec
reported in result source — spec
Hailo Model Zoo public models (Hailo-8)
undated
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)
Bunknown power n/a
no power published
Ultralytics docs: Hailo integration benchmark
2026 (year only)

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.
PlatformResultModel · precision · stackGradePowerSource
Hailo-8 (M.2/PCIe, x86 host)42.60 FPS
throughput · b=1
fcn8_resnet_v1_18
INT8 (Hailo quantized) · Hailo DFC v2.20.0 / HailoRT (model zoo) · mid-size CNN
D2.50 W spec
reported in result source — spec
Hailo Model Zoo public models (Hailo-8)
undated
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)
Bunknown power n/a
no power published
Ultralytics docs: Hailo integration benchmark
2026 (year only)

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

speech-to-text

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

PlatformResultModel · precision · stackGradePowerSource
Hailo-8 (M.2/PCIe, x86 host)51.40 FPS
throughput · b=1
whisper_base_5s_encoder
INT8 (Hailo quantized) · Hailo DFC v2.20.0 / HailoRT (model zoo) · Whisper base
D2.50 W spec
reported in result source — spec
Hailo Model Zoo public models (Hailo-8)
undated

Raspberry Pi 5 (CPU only):

◌

No published speech-to-text results for Raspberry Pi 5 (CPU only) or Hailo-8 (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.

PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 (CPU only) CPU-only1.20 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
C13.00 W measured
reported in result source — measured
Jeff Geerling ai-benchmarks README (Findings tables)
undated

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

◌

No published LLM generation results for Hailo-8 (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.