What are typical scores for benchmark in Contextcapture for different GPU cards? Does GPU RAM size influence much?
Benchmark scores can be checked in Contextcapture Settings->Configuration->Start Benchmark
My compiled list:
Also there seems there is no linear correlation with benchmark scores regarding processing time. For example on same machine GTX 650 Ti processes sample model 5 hours while GTX 980 Ti processes it at 3 hours while benchmark scores differ 7 times performance is only 2 times. General Contextcapture System Requirements:Minimum HardwareIt requires at least 8 GB of RAM and NVIDIA or AMD graphics card, or Intel-integrated graphics processor compatible with OpenGL 3.2 with at least 1 GB of dedicated memory.
For specific Annotation jobs leveraging artificial intelligence, minimum GPU requirement are higher. A 4.0GB NVIDIA device with up-to-date drivers is the minimum.
Recommended HardwareAs of January 2020, the following configuration is recommended: a recent desktop computer running under Microsoft Windows 8/10 64-bit with 64 GB of RAM, an 8+core i9-CPU and an NVIDIA GeForce RTX 2080 Ti graphics card. Input, working and output data should preferably be stored on fast storage devices (fast HDD, SSD, SAN). For file sharing, we recommend a >1-Gigabit Ethernet network.
Please post your scores!
I dont suppose anyone has updated this list with the Pascal Quadro cards ?
There is very low activity from community for posting scores. I bet that Acute3D have all the scores collected from customers from received logs just would like to ask them to share. Because it not always cost effective to buy latest card just to get only small increase in scores.