OctaneBench® 4.00 - 1x GTX TITAN X + 1x RTX 2080 Ti     11 results

Maximum 456.15 Average 436.54
Minimum 375.57 Median 445.87

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
RTX 2080 Ti17.53.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels4600.1046.04
Direct Lighting4410.40176.31
Path Tracing4280.50214.19
Total Score #2436.54
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels263.48511
Interior (by Julia Lynen)Direct Lighting91.84516
Interior (by Julia Lynen)Path Tracing41.09481
Idea (by Julio Cayetaño)Info Channels304.56354
Idea (by Julio Cayetaño)Direct Lighting86.81412
Idea (by Julio Cayetaño)Path Tracing77.62401
ATV (by Jürgen Aleksejev)Info Channels168.94538
ATV (by Jürgen Aleksejev)Direct Lighting64.12422
ATV (by Jürgen Aleksejev)Path Tracing53.17412
Box (by Enrico Cerica)Info Channels287.93438
Box (by Enrico Cerica)Direct Lighting57.19413
Box (by Enrico Cerica)Path Tracing56.53420
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).