YOLO12n-ONNX

Renesas/YOLO12n-ONNX

YOLO12n-ONNX is a object detection model from Renesas. Use it when you need objects located in an image. The card lists the license as apache-2.0.

This repository hosts YOLO12n, targeting the Renesas R-Car X5H platform for object-detection inference on the NPX6 NPU.

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Updated Sep 28, 2026

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From the Hugging Face model README

This repository hosts YOLO12n, targeting the Renesas R-Car X5H platform for object-detection inference on the NPX6 NPU.

Model Architecture: YOLO12 (nano variant) — an Ultralytics single-stage detector introducing attention-centric modules (area attention, R-ELAN) into the YOLO family while retaining real-time inference speed
Source Model: ultralytics/yolo12n
Task: object-detection (dataset: coco)

The FP32 ONNX model is auto-cast to INT8 by the Renesas MWMX toolchain at compile time — no separate quantization step is required.

yolo12n.onnx (FP32)
        │
        └─▶  MWMX Runtime  ──▶  INT8 auto-cast  ──▶  NPX6 NPU

Artifact	Status	Notes
FP32 (ONNX)	⏳ Pending	`fp32/yolo12n.onnx` — to be added; will be auto-cast to INT8 by the MWMX toolchain at compile time (see Deployment Flow above); no separate INT8 file will be shipped

Measured on Renesas R-Car X5H via the MWMX runtime (APM80 ship-performance CI pipeline).

Benchmark configuration: Single NPU · Batch size: 1 · Input: 3 × 640 × 640

AI Cores	Runtime	Precision	Device	Latency (ms)	Type
1	MWMX Runtime	INT8 (auto)	X5H · 1× NPU · 1 Core · 850 MHz	18.58	Measured
3	MWMX Runtime	INT8 (auto)	X5H · 1× NPU · 3 Core · 850 MHz	12.30	Measured
4	MWMX Runtime	INT8 (auto)	X5H · 1× NPU · 4 Core · 850 MHz	11.42	Measured
6	MWMX Runtime	INT8 (auto)	X5H · 1× NPU · 6 Core · 850 MHz	11.04	Measured
12	MWMX Runtime	INT8 (auto)	X5H · 1× NPU · 12 Core · 850 MHz	11.79	Measured

TBD — not yet measured/published for this repo.

To run inference on Renesas R-Car X5H, you need:

hf download Renesas/YOLO12n-ONNX --repo-type=model --include "fp32/*"

HIL runs: Hardware-in-the-loop — measured on physical R-Car X5H silicon via the MWMX runtime (metawaremx_runtime CI pipeline, "APM80" ship-performance target)
Precision: FP32 ONNX input; INT8 execution (auto-cast by MWMX)