- Jetson agx orin benchmark install#
- Jetson agx orin benchmark software#
- Jetson agx orin benchmark license#
With sparsity, you can take advantage of the fine-grained structured sparsity in deep learning networks to increase the throughput for Tensor Core operations.
Jetson Orin NX also brings support for sparsity, which will enable even greater performance.
Jetson agx orin benchmark software#
Other Jetson devices have increased performance by 1.5x since their first supporting software release a similar is anticipated for the Jetson Orin NX 16 GB. With future software optimizations, this is expected to approach 3.1x for dense benchmarks. Taking the geomean of these benchmarks, Jetson Orin NX shows a 2.1x performance increase compared to Jetson Xavier NX. NVIDIA BodyPoseNet for multiperson human pose estimation. Benchmark results for a Jetson AGX Orin with an ARM ARMv8 processor.NVIDIA DashCamNet for object detection and labeling.
Jetson agx orin benchmark license#
NVIDIA LPRNet for license plate recognition.The extra cores and newer architecture means that the Orin Nano has up to 80. NVIDIA ActionRecognitionNet for 2D and 3D models. The Jetson Orin Nano improves on the Nvidia Maxwell GPU’s 128 CUDA cores with 1024 Ampere GPU based CUDA cores.NVIDIA PeopleNet v2.5 for the highest accuracy in people detection.The same models were also run for comparison on Jetson Xavier NX.įollowing is the complete list of benchmarks: Testing included some dense INT8 and FP16 pre-trained models from NGC. March 22nd 2022, NVIDIA announced the availability of their new edge computing platform, Jetson AGX Orin Developer Kit. Showcasing the giant leap in performance, NVIDIA ran some computer vision benchmarks using the NVIDIA JetPack 5.1. You can develop solutions using your largest and most complex AI models in natural language understanding, 3D perception, and multi-sensor fusion. The system-on-module supports multiple AI application pipelines with NVIDIAĪmpere architecture GPU, next-generation deep learning and vision accelerators, high-speed I/O, and fast memory bandwidth. It gives developers 3x the performance of the NVIDIA Jetson AGX Xavier and 5x the performance of the Jetson AGX Xavier Deep Learning Inference Benchmarks.
Jetson agx orin benchmark install#
It is the smallest Jetson form factor, delivering up to 100 TOPS of AI performance with power configurable between 10 W and 25 W. TX1 / TX2 / Xavier NX / AGX Xavier / AGX Orin) Install Guide: Installing TensorFlow on Jetson. The module can easily be used for advanced applications such as manufacturing, logistics, retail, agriculture, healthcare, and life sciences-all in a compact, power-efficient package. This makes it ideal for use in products like drones and handheld devices. The Jetson Orin NX 16 GB module is unmatched in performance and efficiency for the small form factor, low-power robots, embedded applications, and autonomous machines. Rob Callaghan, CPO at Connect Tech, demonstrates the performance gained by switching to the new NVIDIA® Jetson Orin NX module. We are building on the momentum from last year’s NVIDIA Jetson edge AI expansion.ĭevices, the NVIDIA Jetson Orin NX 16 GB module is now available for purchase worldwide.
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