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Benchmark Explorer · Jetson Orin Nano 8GB
Jetson Orin Nano 8GB: 18 benchmark rows, 39% measured.
Method v1.4.1 · dataset 2026-09-29 · verified 2026-09-16 · last updated September 2026
7 of 18 rows are measured and published (class C); the rest are EdgeAIStack-derived (class D). 7 model families. Precisions: FP32 (2), FP16 (12), INT8 (2), INT4 (2). Runtimes: mlc (2), tensorrt (16). Tasks: text generation (2), classification (2), segmentation (2), speech recognition (3), detection (9). Jetson Orin Nano 8GB platform page.
Family × precision: best value
The fastest matching row per family and precision (fps, or tokens/s for language models), with its evidence class. Click a cell for the full breakdown.
| Family | FP32 | FP16 | INT8 | INT4 |
|---|---|---|---|---|
| Llama | — | — | — | 54.8 tok/s C |
| MobileNet | — | 1800 fps D | — | — |
| MobileSAM | 6.8 fps C | — | — | — |
| NanoSAM | — | 37 fps C | — | — |
| Whisper | — C | — C | — | — |
| YOLO11 | — | 114.8 fps D | 151.8 fps D | — |
| YOLOv8 | — | 190 fps D | 245 fps D | — |
Every model on Jetson Orin Nano 8GB
Llama 3.2 1B Instruct
Llama · llama-3.2-1b-instruct
Llama 3.2 3B Instruct
Llama · llama-3.2-3b-instruct
MobileNetv2
MobileNet · v2
MobileNet V3 Large
MobileNet · v3-large
MobileSAM Tiny Vit
MobileSAM · tiny-vit
NanoSAM Resnet18
NanoSAM · resnet18
Whisper Base En
Whisper · base-en
Whisper Tiny En
Whisper · tiny-en
YOLO11l
YOLO11 · l
YOLO11m
YOLO11 · m
YOLO11n
YOLO11 · n
YOLO11s
YOLO11 · s
YOLOv8m
YOLOv8 · m
YOLOv8n
YOLOv8 · n
YOLOv8s
YOLOv8 · s
Links
- Live engine: https://edgeaistack.ai/engines/benchmark-explorer/?hw=jetson_orin_nano&model=llama&variant=llama-3.2-1b-instruct&mv=1.4.1&dv=2026-09-29
- Methodology: /methodology/benchmark-explorer/
- Dataset: /datasets/benchmarks-v2.json
- Platform page: Jetson Orin Nano 8GB platform page
- All hardware: /benchmarks/
Query this hardware live.
Filter by model, precision or runtime and get the matching rows with a permanent link.