OctaneBench® 4.00 - 9x RTX 2070 SUPER     1 result

Maximum 1,980.03 Average 1,980.03
Minimum 1,980.03 Median 1,980.03

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
RTX 2070 SUPER9????

Kernel Score #2 Weight #3 Sub-total
Info Channels21140.10211.40
Direct Lighting19870.40794.76
Path Tracing19480.50973.87
Total Score #21980.03
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels1211.702352
Interior (by Julia Lynen)Direct Lighting406.412283
Interior (by Julia Lynen)Path Tracing179.912107
Idea (by Julio Cayetaño)Info Channels1356.321577
Idea (by Julio Cayetaño)Direct Lighting385.371831
Idea (by Julio Cayetaño)Path Tracing346.861790
ATV (by Jürgen Aleksejev)Info Channels778.392480
ATV (by Jürgen Aleksejev)Direct Lighting294.541937
ATV (by Jürgen Aleksejev)Path Tracing247.911919
Box (by Enrico Cerica)Info Channels1345.952047
Box (by Enrico Cerica)Direct Lighting262.561897
Box (by Enrico Cerica)Path Tracing265.731976
These values are calculated from the averages of all submissions and may not be representative of actual performance.

1 result

#1 What score is recommended for Octane?
This depends on your scene complexity and time-frame, but we recommended a score no lower than 45 for good render performance.

Please note that cards must have a score of 20 or higher to meet Octane's minimal performance requirements. While cards below this level may still be compatible, Octane's performance will be significantly impacted.
#2 What does the score value mean?
The score is calculated from the measured speed (Ms/s or mega samples per second), relative to the speed we measured for a GTX 980. If the score is under 100, the GPU(s) is/are slower than the GTX 980 we used as reference, and if it's more the GPU(s) is/are faster.
#3 What does the weight value mean?
The weight determines how each kernel's score affects the final score, and kernels that have higher usage are weighted higher.
#4 What is Ms/s?
Ms/s is mega-samples per second, this value is the average of all the results uploaded to OctaneRender for this/these GPU(s).