NVIDIA Jetson Orin Nano Super — Benchmarks & Specs
Bottom line: how fast is the NVIDIA Jetson Orin Nano Super?
For local LLM inference it generates 86.5 tokens/sec running llama3.2:1b at INT4 under mlc-llm, per NVIDIA Developer Forums. In 7-Zip MIPS it scores 14,820 DMIPS, per CNX Software.
Every figure above is a row in the tables below, and each row links out to the review or public benchmark database the number was taken from. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.
The NVIDIA Jetson Orin Nano Super is an APU from the Jetson Orin family released in 2024 from NVIDIA. It launched with a $249 MSRP, though street prices typically diverge meaningfully from launch pricing — see the linked product cards below for current Amazon listings. Data on this page draws on 5 synthetic benchmark results, 12 community AI inference reports, aggregated from public benchmark databases (TechPowerUp, PassMark, Geekbench, Cinebench) and the LocalLLaMA community. Read this page when shopping the NVIDIA Jetson Orin Nano Super, comparing it against other APUs in your build, or sizing it for a specific workload (gaming at 1080p/1440p/4K, productivity benchmarks, or local LLM inference).
AI Inference Performance
Tokens per second under each model + quantization. Higher = faster generation. Bars compare runs across the same model.
| Model | Quantization | Relative | Tokens/sec | VRAM used | Source |
|---|---|---|---|---|---|
| llama3.2:1b | INT4 mlc-llm | 86.5 tok/s | 1.0 GB | NVIDIA Developer Forums 2025-01-23 | |
| llama3.2:1b | q4_K_M ollama | 79.0 tok/s | — | heyytechy.com 2026-06-17 | |
| smollm2:1.7b | INT4 mlc-llm | 64.5 tok/s | — | NVIDIA Technical Blog 2024-12-17 | |
| llama3.2:1b | FP16 llama.cpp | 55.0 tok/s | — | IoT Digital Twin PLM 2026-04-01 | |
| qwen3:0.6b | q8_0 llama.cpp | 54.2 tok/s | — | smolhub.com 2026-05-29 | |
| gemma2:2b | q4_K_M ollama | 52.0 tok/s | — | heyytechy.com 2026-06-17 | |
| llama3.2:1b | q4_K_M llama.cpp | 51.9 tok/s | — | smolhub.com 2026-05-29 | |
| qwen3:0.6b | q8_0 llama.cpp | 49.4 tok/s | — | SmolHub / Yuvraj Singh 2026-05-29 | |
| llama3.2:1b | q4_K_M llama.cpp | 47.1 tok/s | — | SmolHub / Yuvraj Singh 2026-05-29 | |
| llama3.2:3b | INT4 mlc-llm | 43.1 tok/s | — | NVIDIA Technical Blog 2024-12-17 | |
| llama3.2:3b | INT4 mlc-llm | 43.1 tok/s | — | NVIDIA Developer Blog 2024-12-17 | |
| gemma3:1b | q4_K_M llama.cpp | 40.8 tok/s | — | SmolHub / Yuvraj Singh 2026-05-29 |
Synthetic Benchmarks
Higher is better. Bars are scaled within each benchmark family (multi-thread, single-thread, etc.) so you can compare like-with-like at a glance.
| Benchmark | Relative | Score | Source |
|---|---|---|---|
| 7-Zip MIPS | 14,820 DMIPS | CNX Software 2025-08-16 | |
| Geekbench 5 multi-core | 2,866 points | Magazin Mehatronika 2025-02-01 | |
| glmark2 OpenGL 4.6 | 2,563 points | CNX Software 2025-08-16 | |
| glmark2-es2 | 2,488 points | CNX Software 2025-08-16 | |
| Geekbench 5 single-core | 538 points | Magazin Mehatronika 2025-02-01 |
Full Specifications
| ram gb | 8 |
|---|---|
| ai tops | 67 |
| cpu cores | 6 |
| gpu cores | 1024 |
NVIDIA Jetson Orin Nano Super — Frequently Asked Questions
What is the NVIDIA Jetson Orin Nano Super best used for?
When was the NVIDIA Jetson Orin Nano Super released, and what was its launch MSRP?
Where do the benchmark numbers on this page come from?
How does the NVIDIA Jetson Orin Nano Super compare to its predecessor?
Where can I buy the NVIDIA Jetson Orin Nano Super?
Buying guides that rank the NVIDIA Jetson Orin Nano Super's class
This page is the raw performance data. The guides below turn it into a ranked pick for a specific build.
Editorial guides covering the NVIDIA Jetson Orin Nano Super
In-depth SpecPicks reviews, build guides, and head-to-heads referencing this APU.
- Build a Fully Local PDF-to-Audiobook Pipeline on Jetson Orin Nano Super
- Jetson Orin Nano Super vs Hailo-8 AI HAT+: Which Edge-AI Path Is Right for You?
- Best Single-Board Computers for Home Lab in 2026
- Hailo-10H AI Accelerator on Raspberry Pi 5: Real Tok/s for On-Device LLMs
- Jetson Orin Nano Super for ROS 2 Robotics: Build Guide + Real Latency Numbers
- Raspberry Pi 5 + Hailo-8 vs Jetson Orin Nano Super: Which Edge AI Box Wins for Vision Workloads?
- Jetson Orin Nano Super vs Raspberry Pi 5: Real Edge-AI Benchmarks (2026)
- Jetson Orin Nano Super for Local LLM: 7B/13B Tokens-per-Second Reality Check
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