Upscaling by whole numbers: 1X, 2X, & 4X is faster than going from 720p to 1080p.
Was the Original 640x360, or did you get it online somewhere at 1280x720? I ask because Videos from YouTube give you multiple resolutions options to download, but it doesn’t always mean the quality is better just because the resolution is higher…. if the Auto is 360p download that one and upscale it to 540p 1st then upscale that export x2 which will be 1080p and most likely faster overall.
As for the benchmark vs real render query:
Try upscaling X2 export instead of 1080p… Yes I know you want 1080p, but the benchmarks are showing you results of 1X, 2X, and 4X. You do not need to do a full render… just let it run for a few minutes and then look at the fps it is running at etc.
I have a RTX 4070 Ti Super and would be willing to test your actual video with the same setting to see if I get similar results compared to my benchmark run. You can upload the video anonymously using Gofile - Cloud Storage Made Simple (no need to create an account)… then reply to this message with the download link you will be provided.
The benchmark only measures model inference performance. Actual export speed also depends on the input/output codec, disk speed, memory, and CPU scheduling.
On systems like the i5-14500, the CPU can become the bottleneck during export.
Make sure ‘Recover detail’ is off (default is on). This setting is rarely useful (at least for me) and uses a lot of CPU/RAM performance (not covered in benchmark).
Also, ‘Dynamic Parameters’ also reduces performance because it analyzes movie frames constantly for parameter adjustment (not covered in benchmark).
As encoder use AMD GPU h264/h265 if it’s quality is enough for u. GPU encoder is faster than CPU based encoding.