OctaneBench® 4.00 - 1x GTX 980 Ti + 2x RTX 2070 SUPER     2 results

Maximum 597.56 Average 594.08
Minimum 590.60 Median 590.60

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 980 Ti15.2
RTX 2070 SUPER2????

Kernel Score #2 Weight #3 Sub-total
Info Channels6240.1062.43
Direct Lighting5960.40238.21
Path Tracing5870.50293.44
Total Score #2594.08
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels358.62696
Interior (by Julia Lynen)Direct Lighting122.32687
Interior (by Julia Lynen)Path Tracing54.67640
Idea (by Julio Cayetaño)Info Channels407.74474
Idea (by Julio Cayetaño)Direct Lighting116.50553
Idea (by Julio Cayetaño)Path Tracing104.48539
ATV (by Jürgen Aleksejev)Info Channels225.80719
ATV (by Jürgen Aleksejev)Direct Lighting87.08573
ATV (by Jürgen Aleksejev)Path Tracing73.82571
Box (by Enrico Cerica)Info Channels399.51608
Box (by Enrico Cerica)Direct Lighting78.74569
Box (by Enrico Cerica)Path Tracing80.29597
These values are calculated from the averages of all submissions and may not be representative of actual performance.

2 results

#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).