42 frames per second. That is enough to process a single 30 FPS video feed in real-time with headroom to spare, or to batch-process security footage at nearly double the original framerate. We benchmarked YOLOv8m on the RTX 4060 via GigaGPU to see where this Ada Lovelace mid-ranger sits for computer vision workloads.
Frame Rate and Latency
| Metric | Value |
|---|---|
| FPS (640×640) | 42 FPS |
| Latency per frame | 23.8 ms |
| Precision | FP16 |
| Input resolution | 640×640 (COCO) |
| Performance rating | Good |
Benchmark conditions: FP16 inference, batch size 1, YOLOv8m model on COCO-format input at 640×640.
VRAM After Loading
| Component | VRAM |
|---|---|
| Model weights (FP16) | 1.8 GB |
| Processing buffer | ~0.5 GB |
| Total RTX 4060 VRAM | 8 GB |
| Free headroom | ~6.2 GB |
With 6 GB free, the 4060 can pair YOLOv8 with a complementary model. A PaddleOCR instance for reading detected text, or a small LLM for classifying detected objects into business categories — both fit alongside YOLO without VRAM pressure.
Detection at Pennies Per Million
| Cost Metric | Value |
|---|---|
| Server cost | £0.35/hr (£69/mo) |
| Cost per 1M frames | £2.31 |
| Frames per £1 | 432,900 |
Two pounds thirty per million detected frames. At £69/mo, the 4060 processes over 3.6 million frames daily. For comparison, cloud vision APIs typically charge per image — even at the cheapest tiers, self-hosting pays for itself within the first week. Full GPU comparison on the benchmark page.
Practical Camera Capacity
At 42 FPS, the 4060 comfortably handles a single 30 FPS camera feed with margin for pre/post-processing overhead. Running two cameras requires frame subsampling to 15-20 FPS per stream, which is perfectly adequate for retail analytics or parking lot monitoring. For multi-camera setups at full framerate, the 4060 Ti at 56 FPS provides more breathing room. Guide: best GPU for YOLO.
Quick deploy:
docker run --gpus all -p 8080:8080 ultralytics/ultralytics:latest yolo detect predictMore: YOLOv8 hosting guide, all benchmarks, SD hosting.
Deploy YOLOv8 on RTX 4060
Order this exact configuration. UK datacenter, full root access.
Order RTX 4060 Server
