OctaneBench® 4.00 - 1x RTX 2080 + 1x RTX 2080 SUPER     3 results

Maximum 462.75 Average 454.71
Minimum 446.08 Median 455.28

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
RTX 208017.53.08X
RTX 2080 SUPER1????

Kernel Score #2 Weight #3 Sub-total
Info Channels5080.1050.81
Direct Lighting4560.40182.55
Path Tracing4430.50221.34
Total Score #2454.71
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels292.09567
Interior (by Julia Lynen)Direct Lighting94.37530
Interior (by Julia Lynen)Path Tracing41.88490
Idea (by Julio Cayetaño)Info Channels331.95386
Idea (by Julio Cayetaño)Direct Lighting89.20424
Idea (by Julio Cayetaño)Path Tracing79.72411
ATV (by Jürgen Aleksejev)Info Channels187.33597
ATV (by Jürgen Aleksejev)Direct Lighting67.30442
ATV (by Jürgen Aleksejev)Path Tracing56.02434
Box (by Enrico Cerica)Info Channels317.38483
Box (by Enrico Cerica)Direct Lighting59.39429
Box (by Enrico Cerica)Path Tracing58.56435
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).