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NVIDIA Jetson Orin Nano Super
NVIDIA · APU · Jetson Orin

NVIDIA Jetson Orin Nano Super — Benchmarks & Specs

$249 MSRP2024
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Bottom line: how fast is the NVIDIA Jetson Orin Nano Super?

For local LLM inference it generates 12.6 tokens/sec running qwen3:8b at q4_K_M under llama.cpp, per Turing Pi. In 7-Zip it scores 14,820 MIPS, per CNX Software. Its 8 GB of memory, shared by the CPU and GPU, is the binding constraint for local inference: the largest models on file at 4-bit quantization on it are 8B-class: the qwen3:8b run above and llama3.1:8b (INT4), which generates 19.1 tokens/sec under mlc-llm, per NVIDIA Developer Blog.

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; the memory size is the on-paper spec. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.

Amazon listing: $629.00

This Amazon listing is above the NVIDIA Jetson Orin Nano Super's $249 launch MSRP. Compare new and used listings on eBay before buying.

*Price sourced from Amazon.com. Last updated 2026-10-15. Price and availability subject to change.

The NVIDIA Jetson Orin Nano Super is an APU from the Jetson Orin family released in 2024 from NVIDIA. Key on-paper specs include 6 CPU cores, 1024 GPU cores, 8 GB of memory shared by the CPU and GPU. It launched with a $249 MSRP, though street prices typically diverge meaningfully from launch pricing — see the linked product cards below for current listings. Data on this page draws on 7 linked listings, 5 synthetic benchmark results, 32 community AI inference reports (top 14 shown), compiled from CNX Software, NVIDIA Developer Blog, smolhub.com, Turing Pi, heyytechy.com, Magazin Mehatronika, IoT Digital Twin PLM, NVIDIA Developer Forums; each table row links to its source. 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 (synthetic benchmark scores or local LLM inference).

AI Inference Performance

Tokens per second under each model + quantization. Higher = faster generation. Bars compare runs across the same model.

Local LLM inference throughput on the NVIDIA Jetson Orin Nano Super, in generated tokens per second for a single request (one user's generation speed). Higher is better; each row links to the community report or benchmark database it came from.
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
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 Developer Blog 2024-12-17
gemma3:1b q4_K_M llama.cpp 40.8 tok/s — SmolHub / Yuvraj Singh 2026-05-29
qwen3:1.7b q4_K_M llama.cpp 39.4 tok/s — Turing Pi 2026-09-26
llama3.1:8b INT4 mlc-llm 19.1 tok/s — NVIDIA Developer Blog 2024-12-17
qwen3:8b q4_K_M llama.cpp 12.6 tok/s — Turing Pi 2026-09-26

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.

Synthetic benchmark scores for the NVIDIA Jetson Orin Nano Super — higher is better. Each row links to the public database the number was taken from.
Benchmark Relative Score Source
7-Zip 14,820 MIPS CNX Software 2025-08-16
Geekbench 5 multi-core 2,866 points Magazin Mehatronika 2025-02
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

Products Featuring the NVIDIA Jetson Orin Nano Super

Full Specifications

Memory8 GB
AI TOPS67
CPU cores6
GPU cores1024

NVIDIA Jetson Orin Nano Super — Frequently Asked Questions

What is the NVIDIA Jetson Orin Nano Super best used for?
NVIDIA Jetson Orin Nano Super is a Jetson Orin-family integrated CPU+GPU. Mainstream desktops and gaming builds are the typical workloads.
When was the NVIDIA Jetson Orin Nano Super released, and what was its launch MSRP?
NVIDIA Jetson Orin Nano Super launched in 2024 at a $249 MSRP. Street prices drift from launch pricing over a product's life, so check the current listing before buying.
Where do the NVIDIA Jetson Orin Nano Super benchmark numbers come from?
Each benchmark row on this page names its source (public benchmark databases such as TechPowerUp, PassMark, Geekbench and Cinebench, and community reports such as r/LocalLLaMA threads) and links to it, so every number can be checked against the original.
How many cores does the NVIDIA Jetson Orin Nano Super have, and how does it benchmark?
Core and thread counts for NVIDIA Jetson Orin Nano Super aren't on file. Synthetic benchmark results (PassMark CPU Mark, Cinebench, Geekbench) are in the Synthetic Benchmarks section.
Where can I buy the NVIDIA Jetson Orin Nano Super?
Amazon listings for the NVIDIA Jetson Orin Nano Super are linked at the top of this page and in the Products Featuring the NVIDIA Jetson Orin Nano Super section. SpecPicks earns a small affiliate commission on qualifying purchases, at no extra cost to the buyer.

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NVIDIA Jetson Orin Nano Super
NVIDIA Jetson Orin Nano Super
$629.00
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