OctaneBench® 4.00 - 1x GTX 980 Ti + 2x RTX 2080 Ti     1 result

Maximum 772.80 Average 772.80
Minimum 772.80 Median 772.80

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 980 Ti15.2
RTX 2080 Ti27.53.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels8530.1085.30
Direct Lighting7700.40308.00
Path Tracing7590.50379.49
Total Score #2772.80
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels486.69945
Interior (by Julia Lynen)Direct Lighting158.83892
Interior (by Julia Lynen)Path Tracing71.13833
Idea (by Julio Cayetaño)Info Channels545.68635
Idea (by Julio Cayetaño)Direct Lighting145.84693
Idea (by Julio Cayetaño)Path Tracing135.11697
ATV (by Jürgen Aleksejev)Info Channels315.921006
ATV (by Jürgen Aleksejev)Direct Lighting115.22758
ATV (by Jürgen Aleksejev)Path Tracing95.85742
Box (by Enrico Cerica)Info Channels543.33826
Box (by Enrico Cerica)Direct Lighting102.05737
Box (by Enrico Cerica)Path Tracing102.75764
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).