NVIDIA Jetson Orin NX 16GB — Benchmarks & Specs
Bottom line: how fast is the NVIDIA Jetson Orin NX 16GB?
For local LLM inference it generates 68.8 tokens/sec running smollm2:1.7b under mlc-llm, per NVIDIA Developer Blog. In MLPerf v3.1 ResNet-50 Image Classification it scores 1,681.87 samples/s, per NVIDIA Developer.
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 NX 16GB is an APU from the Jetson Orin family released in 2023 from NVIDIA. It launched with a $599 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 NX 16GB, 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 |
|---|---|---|---|---|---|
| smollm2:1.7b | — mlc-llm | 68.8 tok/s | — | NVIDIA Developer Blog 2025-01-16 | |
| smollm2:1.7b | — other | 59.5 tok/s | — | NVIDIA Technical Blog 2025-01-21 | |
| smollm2:1.7b | INT4 MLC | 59.5 tok/s | — | Edge AI and Vision Alliance 2025-01-01 | |
| 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 | — other | 40.4 tok/s | — | NVIDIA Technical Blog 2025-01-21 | |
| llama3.2:3b | INT4 MLC | 40.4 tok/s | — | Edge AI and Vision Alliance 2025-01-01 | |
| 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 2025-01-01 | |
| phi3.5:3.8b | — other | 35.9 tok/s | — | NVIDIA Technical Blog 2025-01-21 | |
| gemma2:2b | — other | 31.6 tok/s | — | NVIDIA Technical Blog 2025-01-21 | |
| gemma2:2b | INT4 MLC | 31.6 tok/s | — | Edge AI and Vision Alliance 2025-01-01 |
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 2023-11-01 | |
| MLPerf v3.1 RNN-T Speech-to-Text | 327.79 samples/s | NVIDIA Developer 2023-11-01 | |
| MLPerf v3.1 BERT NLP Inference | 136.59 samples/s | NVIDIA Developer 2023-11-01 | |
| YOLOv8 TensorRT Inference | 125.15 FPS | Seeed Studio Forum 2023-06-01 | |
| MLPerf v3.1 RetinaNet Object Detection | 47.59 samples/s | NVIDIA Developer 2023-11-01 |
Full Specifications
| ram gb | 16 |
|---|---|
| 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 benchmark numbers on this page come from?
How does the NVIDIA Jetson Orin NX 16GB compare to its predecessor?
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.
Editorial guides covering the NVIDIA Jetson Orin NX 16GB
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