OctaneBench® 4.00 - 1x GTX 1060 3GB + 1x RTX 2080 Ti     2 results

Maximum 388.89 Average 358.43
Minimum 327.96 Median 388.89

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 1060 3GB1????
RTX 2080 Ti17.53.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels3980.1039.80
Direct Lighting3580.40143.20
Path Tracing3510.50175.42
Total Score #2358.43
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels223.48434
Interior (by Julia Lynen)Direct Lighting72.76409
Interior (by Julia Lynen)Path Tracing32.40379
Idea (by Julio Cayetaño)Info Channels253.04294
Idea (by Julio Cayetaño)Direct Lighting68.80327
Idea (by Julio Cayetaño)Path Tracing62.25321
ATV (by Jürgen Aleksejev)Info Channels147.83471
ATV (by Jürgen Aleksejev)Direct Lighting53.36351
ATV (by Jürgen Aleksejev)Path Tracing45.19350
Box (by Enrico Cerica)Info Channels258.49393
Box (by Enrico Cerica)Direct Lighting47.82346
Box (by Enrico Cerica)Path Tracing47.48353
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).