OctaneBench® 4.00 - 1x GTX 1080 Ti + 1x RTX 2080 SUPER     3 results

Maximum 469.15 Average 447.39
Minimum 429.25 Median 429.25

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 1080 Ti16.
RTX 2080 SUPER1????

Kernel Score #2 Weight #3 Sub-total
Info Channels4840.1048.42
Direct Lighting4480.40179.28
Path Tracing4390.50219.68
Total Score #2447.39
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels279.14542
Interior (by Julia Lynen)Direct Lighting91.50514
Interior (by Julia Lynen)Path Tracing40.80478
Idea (by Julio Cayetaño)Info Channels325.06378
Idea (by Julio Cayetaño)Direct Lighting88.44420
Idea (by Julio Cayetaño)Path Tracing79.02408
ATV (by Jürgen Aleksejev)Info Channels167.55534
ATV (by Jürgen Aleksejev)Direct Lighting65.00427
ATV (by Jürgen Aleksejev)Path Tracing53.67415
Box (by Enrico Cerica)Info Channels317.77483
Box (by Enrico Cerica)Direct Lighting59.69431
Box (by Enrico Cerica)Path Tracing61.41457
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).