Environment
Software versions used across benchmark devices.
RTX 5090 (antares)
| Component |
Version |
| OS |
Ubuntu 24.04 (kernel 6.8.0-100-generic) |
| GPU |
NVIDIA GeForce RTX 5090 (32 GB VRAM) |
| GPU Driver |
570.211.01 |
| CUDA |
12.8 |
| cuDNN |
90701 |
| Python |
3.12 |
| PyTorch |
2.7.0+cu128 |
| Ultralytics |
8.4.26 |
| TensorRT |
N/A (not used on this device) |
Jetson Orin AGX
| Component |
Version |
| OS |
Ubuntu (kernel TBD) |
| JetPack |
TBD |
| GPU |
Integrated Ampere (64 GB shared RAM) |
| CUDA |
TBD |
| cuDNN |
TBD |
| TensorRT |
TBD |
| Python |
TBD |
| PyTorch |
TBD |
| Ultralytics |
TBD |
Jetson Orin Nano
| Component |
Version |
| OS |
Ubuntu (kernel TBD) |
| JetPack |
TBD |
| GPU |
Integrated Ampere (8 GB shared RAM) |
| CUDA |
TBD |
| cuDNN |
TBD |
| TensorRT |
TBD |
| Python |
TBD |
| PyTorch |
TBD |
| Ultralytics |
TBD |
How to fill in TBD values
Run the following on each device:
# OS kernel
uname -r
# CUDA
nvcc --version
# cuDNN
python -c "import torch; print(torch.backends.cudnn.version())"
# TensorRT (Jetsons only)
python -c "import tensorrt; print(tensorrt.__version__)"
# JetPack (Jetsons only)
cat /etc/nv_tegra_release
# or
sudo apt-cache show nvidia-jetpack | grep Version
# PyTorch
python -c "import torch; print(torch.__version__)"
# Ultralytics
python -c "import ultralytics; print(ultralytics.__version__)"
# GPU Driver
nvidia-smi | head -3
Development Machine (Windows)
| Component |
Version |
| OS |
Windows 11 Pro for Workstations 10.0.26200 |
| Python |
3.12 |
This machine is used for development only, not for benchmark execution.