NVIDIA Jetson AGX Orin 32GB — Benchmarks & Specs
Bottom line: how fast is the NVIDIA Jetson AGX Orin 32GB?
For local LLM inference it generates 120.0 tokens/sec running gemma2:2b at FP16 under TensorRT-LLM, per IoT Digital Twin PLM.
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 AGX Orin 32GB is an APU from the Jetson Orin family released in 2022 from NVIDIA. It launched with a $999 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 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 AGX Orin 32GB, 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 |
|---|---|---|---|---|---|
| gemma2:2b | FP16 TensorRT-LLM | 120.0 tok/s | — | IoT Digital Twin PLM 2026-04-01 | |
| gemma2:2b | FP16 other | 120.0 tok/s | — | IoT Digital Twin PLM 2026-04-24 | |
| llama3.2:3b | q4_0 other | 85.0 tok/s | 3.2 GB | IoT Digital Twin PLM 2026-04-24 | |
| llama3.2:3b | INT4 TensorRT-LLM | 85.0 tok/s | 3.2 GB | IoT Digital Twin PLM 2026-04-01 | |
| phi3.5-mini:3.8b | INT4 TensorRT-LLM | 62.0 tok/s | — | IoT Digital Twin PLM 2026-04-01 | |
| phi3.5-mini:3.8b | q4_0 other | 62.0 tok/s | — | IoT Digital Twin PLM 2026-04-24 | |
| llama3.1:8b | q4_K_M llama.cpp | 52.0 tok/s | — | ProventusNova 2026-06-10 | |
| phi3-mini:3.8b | q4_K_M llama.cpp | 47.0 tok/s | 2.8 GB | MultimodalFlow 2026-05-29 | |
| llama3:8b | q4_0 other | 40.0 tok/s | — | DFRobot 2024-07-12 | |
| qwen3-vl:4b | q4_K_M llama.cpp | 32.7 tok/s | 2.3 GB | GitHub llama.cpp discussion #17732 2025-06-01 | |
| qwen2.5:7b | q4_K_M llama.cpp | 31.0 tok/s | 5.2 GB | MultimodalFlow 2026-05-29 | |
| llama3.1:8b | q4_K_M llama.cpp | 28.0 tok/s | 5.8 GB | MultimodalFlow 2026-05-29 |
Full Specifications
| ram gb | 32 |
|---|---|
| ai tops | 275 |
| cpu cores | 12 |
| gpu cores | 1792 |
NVIDIA Jetson AGX Orin 32GB — Frequently Asked Questions
What is the NVIDIA Jetson AGX Orin 32GB best used for?
When was the NVIDIA Jetson AGX Orin 32GB released, and what was its launch MSRP?
Where do the benchmark numbers on this page come from?
How does the NVIDIA Jetson AGX Orin 32GB compare to its predecessor?
Where can I buy the NVIDIA Jetson AGX Orin 32GB?
Buying guides that rank the NVIDIA Jetson AGX Orin 32GB'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 AGX Orin 32GB
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