Nvidia jetson benchmark. In particular, we look at the performance and power usage of Jetson TK1, TX1, TX2, and Nano. 074 MB The rapid development of edge AI applications has led to the demand for high-performance, power-efficient embedded computing platforms. Its high-performance, low-power computing for deep learning and computer vision makes it the ideal platform for mobile compute Mar 19, 2023 · Hello, i want to compare several modes of AGX Jetson, for example the MAXN to 30 watts. 1. 683 MB, which is less than the sum of model weight size (3894. We want to perform a benchmark on this device. Aug 25, 2025 · Page 2: NVIDIA Jetson AGX Thor Developer Kit: Custom Computer Vision And LLM/VLM Benchmarks, and Conclusions NVIDIA Jetson AGX Thor Developer Kit - $3,499 As Tested NVIDIA continues to innovate in Nov 28, 2024 · Hi, Yes, on Jetson both CPU and GPU use the same physical memory. Jan 9, 2025 · Hi all! As NVIDIA already announced, the NVIDIA Jetson Orin Nano Super Mode configuration has been released and RidgeRun is always looking for the newest technologies to help the NVIDIA Jetson community by staying ahead of industry trends. Jetson TK1 was the first in the family, being launched in 2014. 264 encoding, etc. The performance boost is enabled by a new power mode that increases the GPU, memory, and CPU clocks, allowing the kit to handle a wide range of large language models (LLMs), visual language models (VLMs), and Vision Transformers (ViTs). Thx Yen Jan 3, 2025 · To test the performance of my Orin Nano Dev Kit with the JetPack 6. It delivers up to 5x the performance and twice the NVIDIA® CUDA® cores of NVIDIA Jetson Xavier™ NX, plus high-speed interface support for multiple sensors. Jan 9, 2025 · Continuing the discussion from The performance of the Jetson Orin Nano module does not match the data provided on the official website: Hi I read the topic The performance of the Jetson Orin Nano module does not match the data provided on the official website But still confused on the last reply " get the #operations per cycle and the #cycles per nsecond from the profiler". Apr 17, 2019 · The benchmark is for the network - that sample does post-processing which was commented out to get an accurate performance result of the network, as different applications and platforms apply pre/post-processing differently. 4 TFLOPS for FP32. It also Jetson Benchmark. 758 MB) and temporary buffer size (2260. NVIDIA Jetson Nano Benchmark Performance Clarification The following image processing kernels, which are conventional for camera applications, were used as examples for benchmarks: white balance, demosaic, color correction, LUT, resize, gamma, jpeg / jpeg2000 / h. My usage of the Jetson is for GPGPU (CUDA), so NVIDIA’s benchmark blog for AI isn’t relevant for me. This information can be helpful to performance-critical applications, allowing the user to evaluate the impact of certain parameter/backend combinations in application performance, such as: What NVIDIA® Jetson™ device to use What backend to use Speed/quality trade-offs Effect of running algorithms in parallel streams. Mar 4, 2025 · Hi, Is there any official benchmark for ResNet-50 on orin nx and orin nano in super/super-maxn power mode? or is there any tool that I can do it by myself? because the jetson_benchmarks is not supported anymore. Oct 4, 2023 · We have Jetson orin nx 8GB. Why is the difference such significant NVIDIA Jetson TX2 gives you exceptional speed and power-efficiency in an embedded AI computing device. 37 GHz, so I would expect a theoretical performance of 1. Performance metrics, including inference speed, CPU and Jetson Orin NX Series Experience the world’s most powerful AI computer for autonomous, power-efficient machines in the smallest Jetson form factor. . The nvpmodel -m0 and jetson_clocks to get maximum performance. May 12, 2020 · HI Can we get bechmark score on Jetson NX, such as ResNet-50 ,Inception V4 , VGG-19? It supposed to be a table for these data. IsOk()) is false: Insufficient GPU memory error: The available single GPU memory is 3061. Feb 21, 2020 · In this post, we benchmark some boards from the famous Jetson family, developed by Nvidia. We have specifically selected 3 different Jetson devices for this test, and they are the Jetson AGX Orin 32GB H01 Kit, reComputer J4012 built with Orin NX 16GB, and reComputer J2021 built with Xavier NX 8GB. We successfully tested, deployed, and compared an end-to-end anomaly detection system on 3 different types of Jetson edge devices: Jetson Nano, Jetson AGX Xavier, and Jetson Orin Nano. Mar 30, 2023 · This blog will talk about the performance benchmarks of all the YOLOv8 models running on different NVIDIA Jetson devices. Aug 28, 2024 · In the latest round of MLPerf industry benchmarks, Inference v4. However, all information I found are details to FP16 with 11 TFLOPS. To understand more about Jetson’s memory, please find the document below: docs. Jun 22, 2025 · Learn to deploy Ultralytics YOLO11 on NVIDIA Jetson devices with our detailed guide. Apr 28, 2025 · Hi , I am currently testing the performance of the Jetson Orin Nano Super 8GB, and I encountered some discrepancies: According to your benchmark page (Benchmarks - NVIDIA Jetson AI Lab), the performance of Qwen2. Like this… It’s better if we also get the procedure , like this… We utilize TensorRT [3] as the SDK for NVIDIA devices to optimize deep learning applications and improve efficiency in this work. NVIDIA® Jetson Comparison NVIDIA Jetson Nano / Xavier NX / Orin Nano / Orin NX / AGX Xavier / AGX Orin NVIDIA Jetson Module Powered Edge Devices NVIDIA Jetson Compatible Carrier Boards Buy Seeed Jetson Products Zoom in the table for the whole details May 11, 2020 · Hi, I just started evaluating the Jetson Xavier AGX (32 GB) for processing of a massive amount of 2D FFTs with cuFFT in real-time and encountered some problems/ questions: The GPU has 512 Cuda Cores and runs at 1. Jan 23, 2025 · To test performance with JetPack 6. nvidia. Some run very fast, and some not so fast, but there are a ton of different workable models you can use. Please suggest a solution or a tool to perform this. Dec 29, 2024 · I thought I’d download a bunch of models that you run on a Jetson Orin Nano. Could someone tell Extensive Practical Review of the Nvidia Jetson Nano with Benchmarking and Performance Analysis of the embedded system-on-module (SoM). Benchmark comparison for Jetson TX2, Xavier NX/AGX, Orin AGX Author: Fyodor Serzhenko NVIDIA has released a series of Jetson hardware modules for embedded applications. 7x boost in generative AI model performance and is now available at a reduced price of $249. 1 update, I tried running the benchmarks listed here: Benchmarks - NVIDIA Jetson AI Lab But my benchmark results were close to the Jetson Orin Nano (o… Dec 17, 2024 · The NVIDIA Jetson Orin Nano Super Developer Kit offers a 1. So we created the Exploring NVIDIA Jetson Orin Nano Super Mode performance using Generative AI wiki guide in order for you to check the Generative tutorials The NVIDIA AI platform achieves world-class performance and versatility in MLPerf Training, Inference, and HPC benchmarks for the most demanding, real-world AI workloads. This paper evaluates the computational efficiency, power consumption, and thermal characteristics of the NVIDIA Jetson Orin NX, Jetson Nano, and Raspberry Pi 5 with Coral TPU across various AI workloads. This supercomputer-on-a-module brings true AI computing to the edge. NVIDIA Jetson AI Lab is a collection of tutorials showing how to run optimized models on NVIDIA Jetson, including the latest generative AI and transformer models. Model for AI should be YOLOv8s on the Onnx or tensorflow framework. 5 7B is listed as 21. 1, NVIDIA platforms delivered leading performance across all data center tests. com CUDA for Tegra This application note provides an overview of NVIDIA® Tegra® memory architecture and considerations for porting code from a discrete GPU (dGPU) attached to an x86 system to the Tegra® integrated GPU (iGPU). Contribute to NVIDIA-AI-IOT/jetson_benchmarks development by creating an account on GitHub. 2, we recommend to check our Jetson AI Lab instead: Benchmarks - NVIDIA Jetson AI Lab It showed this messages and stop running TVMError: Check failed: (output_res. NVIDIA Jetson Orin NX Platform Guide This directory contains complete setup, benchmarking, and analysis tools for the NVIDIA Jetson Orin NX platform in the embedded AI benchmark suite. For running these benchmarks, this script will launch a series of containers that download/build/run the models with MLC and INT4 quantization. NVIDIA® Jetson is the world's leading embedded platform for image processing and DL/AI tasks. Explore performance benchmarks and maximize AI capabilities. Jetson Benchmarks Jetson is used to deploy a wide range of popular DNN models, optimized transformer models and ML frameworks to the edge with high performance inferencing, for tasks like real-time classification and object detection, pose estimation, semantic segmentation, and natural language processing (NLP). 75 tokens/second. rgcia1 atpc cgsom a7 qyv2z pf2 deda5r mevldk 4whuyx suxg7on