OctaneBench® 4.00 - 8x RTX 2070 SUPER     1 result

Maximum 1,753.44 Average 1,753.44
Minimum 1,753.44 Median 1,753.44

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
RTX 2070 SUPER8????

Kernel Score #2 Weight #3 Sub-total
Info Channels18770.10187.69
Direct Lighting17590.40703.76
Path Tracing17240.50862.00
Total Score #21753.44
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels1074.972087
Interior (by Julia Lynen)Direct Lighting360.072023
Interior (by Julia Lynen)Path Tracing160.591880
Idea (by Julio Cayetaño)Info Channels1208.251405
Idea (by Julio Cayetaño)Direct Lighting341.251621
Idea (by Julio Cayetaño)Path Tracing308.381591
ATV (by Jürgen Aleksejev)Info Channels692.092205
ATV (by Jürgen Aleksejev)Direct Lighting260.011709
ATV (by Jürgen Aleksejev)Path Tracing219.101696
Box (by Enrico Cerica)Info Channels1190.751811
Box (by Enrico Cerica)Direct Lighting233.081684
Box (by Enrico Cerica)Path Tracing232.491729
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).