Hailo-8L (M.2/PCIe, x86 host) vs NVIDIA Jetson Orin Nano Super

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.

NVIDIAedge moduleNo licensed photo yet

NVIDIA Jetson Orin Nano Super is faster in all 2 like-for-like comparisons (largest gap: object detection, 1.31×).

	Hailo-8L (M.2/PCIe, x86 host)	NVIDIA Jetson Orin Nano Super
Best object detection	437 FPS D 2026-10-15 (page last edited)	263 FPS B 2026-10-13 (page last edited)
Power	1.50 W spec	25.00 W spec
Perf / W	291 FPS/W spec	10.53 FPS/W spec
Price	n/a	$249 list
Workloads with data	6 of 7	2 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
NVIDIA Jetson Orin Nano Super	263 FPS inference_time · b=1	YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n)	B	25.00 W spec reported in result source — spec	Ultralytics documentation (benchmark table) 2026-10-13 (page last edited)
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)

✓ Like-for-like: model-size class small (YOLO-s), batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Orin Nano Super	146 FPS throughput · b=1	YOLO11s (640x640) INT8 · TensorRT (ONNX export) · small (YOLO-s)	C	25.00 W spec platform spec envelope (not measured with this result)	arXiv 2608.00927 AgriJetsonBench (abstract figures) 2026-08-02 (published)
Hailo-8L (M.2/PCIe, x86 host)	137 FPS throughput · b=1	yolov5s_wo_spp INT8 (Hailo quantized) · Hailo DFC v2.20.0 / HailoRT (model zoo) · small (YOLO-s)	D	1.50 W spec reported in result source — spec	Hailo Model Zoo public models (Hailo-8L) 2026-10-15 (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)

NVIDIA Jetson Orin Nano Super:

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No published instance segmentation results for NVIDIA Jetson Orin Nano Super 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)

NVIDIA Jetson Orin Nano Super:

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No published pose estimation results for NVIDIA Jetson Orin Nano Super 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

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

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)

NVIDIA Jetson Orin Nano Super:

◌

No published image classification results for NVIDIA Jetson Orin Nano Super 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.

semantic segmentation

⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: model-size class unknown 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)
NVIDIA Jetson Orin Nano Super MIXED: model-size class unknown vs mid-size CNN	67.47 FPS throughput · b=1	SegFormer-B0 (640x640) FP16 · TensorRT (ONNX export) · unknown	C	25.00 W spec platform spec envelope (not measured with this result)	arXiv 2608.00927 AgriJetsonBench (abstract figures) 2026-08-02 (published)

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)

NVIDIA Jetson Orin Nano Super:

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No published speech-to-text results for NVIDIA Jetson Orin Nano Super 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

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No published LLM generation results for Hailo-8L (M.2/PCIe, x86 host) or NVIDIA Jetson Orin Nano Super 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.