YOLO GPU Calculator
Estimate training or inference suitability using official Ultralytics model data together with YOLO generation, model scale, GPU, image size, and batch size.
Current calculations are for Object Detection models.
Workload
Generation Notes
The latest Ultralytics generation for 2026, recommended for new projects with end-to-end NMS-free inference and edge-optimized deployment.
Official Model Information
yolo26s.pt
Parameters
9.5M
FLOPs @ 640
20.7B
Auto (-1) lets Ultralytics profile the model on your GPU and target about 60% CUDA memory utilization.
Used by the real GPU Tester to estimate total training time.
Analysis Result
Training
Suitable
This model, image size, and batch configuration is estimated to have reasonable VRAM headroom.
Ultralytics AutoBatch
batch=-1
Real Ultralytics AutoBatch profiles the model on the user's GPU. The AutoBatch number shown here is only this web calculator's estimate.
Recommendations
- • Keep the current configuration
- • Use AutoBatch (batch=-1)
Verify with your real GPU
Pass the selected GPU, YOLO model, image size, dataset images, and epochs directly into the browser GPU tester.
Runs on this PC through WebGPU in the browser. No server GPU is used.
Recommended Command
yolo detect train model=yolo26s.pt data=data.yaml epochs=100 imgsz=640 batch=-1 device=0
The command uses the official checkpoint filename for the selected generation and your current batch setting.
Important: VRAM is an estimate, not an official GPU-specific benchmark
Ultralytics does not publish a fixed VRAM table for every GPU, model, and batch combination. This calculator starts from official Params/FLOPs and estimates model-state and activation memory while accounting for image size, batch size, and generation-specific memory characteristics. Real usage varies with dataset, object count, augmentation, AMP, optimizer, and PyTorch/CUDA versions.
Official Data Scope
Model names, checkpoint filenames, Params, FLOPs, and supported generations are based on Ultralytics documentation. From YOLOv8 onward, the current native support list includes YOLOv8, YOLOv9, YOLOv10, YOLO11, YOLO12, and YOLO26; versions 13–25 are not fabricated.
Note: YOLO13–YOLO25 are not currently listed as natively supported Ultralytics model families, so they are intentionally excluded.
How to use
- Choose a GPU, YOLO version and model.
- Enter your training or inference conditions.
- Run the calculator to review estimated VRAM and batch guidance.