OctaneBench® 4.00 - 2x RTX 2080     126 results



Maximum 486.34 Average 441.15
Minimum 381.97 Median 444.84

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
RTX 208027.53.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels4880.1048.79
Direct Lighting4410.40176.57
Path Tracing4320.50215.79
 
Total Score #2441.15
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels279.30542
Interior (by Julia Lynen)Direct Lighting90.65509
Interior (by Julia Lynen)Path Tracing40.56475
Idea (by Julio Cayetaño)Info Channels314.47366
Idea (by Julio Cayetaño)Direct Lighting86.01409
Idea (by Julio Cayetaño)Path Tracing76.94397
ATV (by Jürgen Aleksejev)Info Channels180.78576
ATV (by Jürgen Aleksejev)Direct Lighting65.25429
ATV (by Jürgen Aleksejev)Path Tracing54.45421
Box (by Enrico Cerica)Info Channels307.64468
Box (by Enrico Cerica)Direct Lighting57.96419
Box (by Enrico Cerica)Path Tracing58.23433
These values are calculated from the averages of all submissions and may not be representative of actual performance.

Score Distribution


Results
Score

#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).