OctaneBench® 4.00 - 1x GTX 1080 + 1x RTX 2070 SUPER     2 results

Maximum 380.40 Average 370.32
Minimum 360.25 Median 380.40

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 108016.
RTX 2070 SUPER1????

Kernel Score #2 Weight #3 Sub-total
Info Channels3970.1039.68
Direct Lighting3730.40149.11
Path Tracing3630.50181.52
Total Score #2370.32
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels227.44441
Interior (by Julia Lynen)Direct Lighting77.05433
Interior (by Julia Lynen)Path Tracing33.65394
Idea (by Julio Cayetaño)Info Channels261.96305
Idea (by Julio Cayetaño)Direct Lighting72.76346
Idea (by Julio Cayetaño)Path Tracing65.65339
ATV (by Jürgen Aleksejev)Info Channels140.98449
ATV (by Jürgen Aleksejev)Direct Lighting53.71353
ATV (by Jürgen Aleksejev)Path Tracing44.80347
Box (by Enrico Cerica)Info Channels257.85392
Box (by Enrico Cerica)Direct Lighting49.76360
Box (by Enrico Cerica)Path Tracing50.11373
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).