OctaneBench® 4.00 - 1x GTX 980 + 1x RTX 2080 Ti     11 results

Maximum 430.24 Average 414.44
Minimum 396.16 Median 419.73

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 98015.2
RTX 2080 Ti17.53.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels4530.1045.25
Direct Lighting4140.40165.47
Path Tracing4070.50203.71
Total Score #2414.44
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels256.09497
Interior (by Julia Lynen)Direct Lighting83.95472
Interior (by Julia Lynen)Path Tracing38.03445
Idea (by Julio Cayetaño)Info Channels291.91339
Idea (by Julio Cayetaño)Direct Lighting80.41382
Idea (by Julio Cayetaño)Path Tracing72.19373
ATV (by Jürgen Aleksejev)Info Channels167.40533
ATV (by Jürgen Aleksejev)Direct Lighting61.34403
ATV (by Jürgen Aleksejev)Path Tracing51.40398
Box (by Enrico Cerica)Info Channels289.52440
Box (by Enrico Cerica)Direct Lighting55.06398
Box (by Enrico Cerica)Path Tracing55.68414
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).