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

Maximum 745.55 Average 733.16
Minimum 712.38 Median 745.55

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
RTX 208027.53.08X
RTX 2080 Ti17.53.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels8090.1080.89
Direct Lighting7340.40293.65
Path Tracing7170.50358.62
Total Score #2733.16
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels471.25915
Interior (by Julia Lynen)Direct Lighting153.47862
Interior (by Julia Lynen)Path Tracing68.67804
Idea (by Julio Cayetaño)Info Channels527.18613
Idea (by Julio Cayetaño)Direct Lighting143.82683
Idea (by Julio Cayetaño)Path Tracing128.18661
ATV (by Jürgen Aleksejev)Info Channels297.18947
ATV (by Jürgen Aleksejev)Direct Lighting107.73708
ATV (by Jürgen Aleksejev)Path Tracing89.41692
Box (by Enrico Cerica)Info Channels500.52761
Box (by Enrico Cerica)Direct Lighting94.50683
Box (by Enrico Cerica)Path Tracing95.69711
These values are calculated from the averages of all submissions and may not be representative of actual performance.

3 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).