OctaneBench® 4.00 - 1x RTX 2070 + 1x RTX 2080     8 results

Maximum 473.71 Average 436.75
Minimum 426.47 Median 427.29

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
RTX 207017.53.08X
RTX 208017.53.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels4770.1047.71
Direct Lighting4390.40175.43
Path Tracing4270.50213.61
Total Score #2436.75
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels272.64529
Interior (by Julia Lynen)Direct Lighting90.31507
Interior (by Julia Lynen)Path Tracing39.53463
Idea (by Julio Cayetaño)Info Channels307.47358
Idea (by Julio Cayetaño)Direct Lighting85.38406
Idea (by Julio Cayetaño)Path Tracing75.90392
ATV (by Jürgen Aleksejev)Info Channels174.85557
ATV (by Jürgen Aleksejev)Direct Lighting64.17422
ATV (by Jürgen Aleksejev)Path Tracing53.87417
Box (by Enrico Cerica)Info Channels305.55465
Box (by Enrico Cerica)Direct Lighting58.05419
Box (by Enrico Cerica)Path Tracing58.83437
These values are calculated from the averages of all submissions and may not be representative of actual performance.

Score Distribution


#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).