NVIDIA Jetson Orin NX 16GB — Benchmarks & Specs
Short answer: the NVIDIA Jetson Orin NX 16GB generates 18.0 tokens/sec on llama3.1:8b (q4_K_M) under llama.cpp in a single cited run, per ProventusNova; there are too few comparable runs on file for a median.
- Single cited run 18.0 tok/s llama3.1:8b q4_K_M, per ProventusNova
- Lowest linked price $1,389.99 Amazon, checked ; prices change
Bottom line: how fast is the NVIDIA Jetson Orin NX 16GB?
For local LLM inference it generates 18.0 tokens/sec running llama3.1:8b at q4_K_M under llama.cpp, per ProventusNova. In MLPerf v3.1 ResNet-50 Image Classification it scores 1,681.87 samples/s, per NVIDIA Developer. It has 16 GB of memory shared by the CPU and GPU, and the largest model on file at 4-bit quantization on it is gemma2:9b (9B parameters, INT4), generating 10.6 tokens/sec under MLC, per Edge AI and Vision Alliance. Larger models have no sourced run on file.
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: $1,389.99
This Amazon listing is above the NVIDIA Jetson Orin NX 16GB's $599 launch MSRP. Compare new and used listings on eBay before buying.
*Price sourced from Amazon.com. Last updated 2026-10-21. Price and availability subject to change.
The NVIDIA Jetson Orin NX 16GB is an APU from the Jetson Orin family released in 2023 from NVIDIA. Key on-paper specs include 8 CPU cores, 1024 GPU cores, 16 GB of memory shared by the CPU and GPU. It launched with a $599 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 9 linked listings, 5 synthetic benchmark results, 21 community AI inference reports (top 14 shown), compiled from NVIDIA Developer, Edge AI and Vision Alliance, ProventusNova, Seeed Studio Forum; each table row links to its source. Read this page when shopping the NVIDIA Jetson Orin NX 16GB, 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.
| Model | Quantization | Relative | Tokens/sec | VRAM used | Source |
|---|---|---|---|---|---|
| smollm2:1.7b | — mlc-llm | 68.8 tok/s | — | NVIDIA Developer Blog 2025-01-16 | |
| smollm2:1.7b | INT4 MLC | 59.5 tok/s | — | NVIDIA Technical Blog 2025-01-16 | |
| llama3.2:3b | — mlc-llm | 45.8 tok/s | — | NVIDIA Developer Blog 2025-01-16 | |
| phi3.5-mini:3.8b | — mlc-llm | 40.9 tok/s | — | NVIDIA Developer Blog 2025-01-16 | |
| llama3.2:3b | INT4 MLC | 40.4 tok/s | — | NVIDIA Technical Blog 2025-01-16 | |
| gemma2:2b | — mlc-llm | 39.0 tok/s | — | NVIDIA Developer Blog 2025-01-16 | |
| phi3.5:mini | INT4 MLC | 35.9 tok/s | — | Edge AI and Vision Alliance 2025-01 | |
| phi3.5:3.8b | INT4 MLC | 35.9 tok/s | — | NVIDIA Technical Blog 2025-01-16 | |
| gemma2:2b | INT4 MLC | 31.6 tok/s | — | NVIDIA Technical Blog 2025-01-16 | |
| qwen2.5:7b | — mlc-llm | 23.5 tok/s | — | NVIDIA Developer Blog 2025-01-16 | |
| llama3.1:8b | — mlc-llm | 22.8 tok/s | — | NVIDIA Developer Blog 2025-01-16 | |
| qwen2.5:7b | INT4 MLC | 20.8 tok/s | — | NVIDIA Technical Blog 2025-01-16 | |
| llama3.1:8b | q4_K_M llama.cpp | 18.0 tok/s | — | ProventusNova 2026-06-10 | |
| gemma2:9b | INT4 MLC | 10.6 tok/s | — | NVIDIA Technical Blog 2025-01-16 |
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 |
|---|---|---|---|
| MLPerf v3.1 ResNet-50 Image Classification | 1,681.87 samples/s | NVIDIA Developer 2023-11 | |
| MLPerf v3.1 RNN-T Speech-to-Text | 327.79 samples/s | NVIDIA Developer 2023-11 | |
| MLPerf v3.1 BERT NLP Inference | 136.59 samples/s | NVIDIA Developer 2023-11 | |
| YOLOv8 TensorRT Inference | 125.15 FPS | Seeed Studio Forum 2023-06 | |
| MLPerf v3.1 RetinaNet Object Detection | 47.59 samples/s | NVIDIA Developer 2023-11 |
Products Featuring the NVIDIA Jetson Orin NX 16GB
Systems with the NVIDIA Jetson Orin NX 16GB
Laptops and desktops that ship with the NVIDIA Jetson Orin NX 16GB — whole systems, listed separately from the part itself.
Full Specifications
| Memory | 16 GB |
|---|---|
| AI TOPS | 100 |
| CPU cores | 8 |
| GPU cores | 1024 |
NVIDIA Jetson Orin NX 16GB — Frequently Asked Questions
What is the NVIDIA Jetson Orin NX 16GB best used for?
When was the NVIDIA Jetson Orin NX 16GB released, and what was its launch MSRP?
Where do the NVIDIA Jetson Orin NX 16GB benchmark numbers come from?
How many cores does the NVIDIA Jetson Orin NX 16GB have, and how does it benchmark?
Where can I buy the NVIDIA Jetson Orin NX 16GB?
Buying guides that rank the NVIDIA Jetson Orin NX 16GB's class
This page is the raw performance data. The guides below turn it into a ranked pick for a specific build.
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