Hailo-8L (M.2/PCIe, x86 host) vs NVIDIA Jetson Orin NX 16GB

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.

NVIDIA Jetson Orin NX module seated on a carrier motherboard, close-up at Computex 2025 — NVIDIA Jetson Orin NX module on a carrier board. Photo: 4300streetcar, CC BY 4.0, via Wikimedia Commons.

NVIDIA Jetson Orin NX 16GB is faster in the only like-for-like comparison (largest gap: object detection, 1.43×).

	Hailo-8L (M.2/PCIe, x86 host)	NVIDIA Jetson Orin NX 16GB
Best object detection	437 FPS D 2026-10-15 (page last edited)	287 FPS B 2026-10-13 (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
NVIDIA Jetson Orin NX 16GB	287 FPS inference_time · b=1	YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n)	B	unknown power n/a no power published	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)

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 NX 16GB:

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No published instance segmentation results for NVIDIA Jetson Orin NX 16GB 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 NX 16GB:

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No published pose estimation results for NVIDIA Jetson Orin NX 16GB 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 mid-size CNN vs mobile-class CNN; batch unknown vs 1.

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 NX 16GB MIXED: model-size class mid-size CNN vs mobile-class CNN; batch unknown vs 1	2641 FPS throughput_offline · b=unknown	MLPerf ResNet INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · mid-size CNN	D	unknown power n/a no power published	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023)

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

semantic segmentation

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

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 NX 16GB:

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No published semantic segmentation results for NVIDIA Jetson Orin NX 16GB 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.

speech-to-text

⚠ MIXED COMPARISON — not like-for-like. Baseline Whisper base at batch 1. Differs: model-size class RNN-T vs Whisper base; batch unknown vs 1.

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 NX 16GB MIXED: model-size class RNN-T vs Whisper base; batch unknown vs 1	432 FPS throughput_offline · b=unknown	MLPerf RNN-T INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · RNN-T	D	unknown power n/a no power published	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023)

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

LLM generation

Only NVIDIA Jetson Orin NX 16GB has published LLM generation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Orin NX 16GB	11.00 tok/s generation_throughput · b=1	Nemotron Nano 9B V2 W4A16 · vLLM · LLM 5–14B	C	unknown power n/a no power published	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (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 NVIDIA Jetson Orin NX 16GB 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.