OctaneBench® 4.00 - 1x GTX 1070 Ti + 1x RTX 2080     3 results

Maximum 375.78 Average 373.71
Minimum 372.56 Median 375.78

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 1070 Ti1????
RTX 208017.53.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels4060.1040.61
Direct Lighting3740.40149.67
Path Tracing3670.50183.43
Total Score #2373.71
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels226.91440
Interior (by Julia Lynen)Direct Lighting76.13428
Interior (by Julia Lynen)Path Tracing33.79396
Idea (by Julio Cayetaño)Info Channels267.69311
Idea (by Julio Cayetaño)Direct Lighting72.68345
Idea (by Julio Cayetaño)Path Tracing65.29337
ATV (by Jürgen Aleksejev)Info Channels147.18469
ATV (by Jürgen Aleksejev)Direct Lighting54.71360
ATV (by Jürgen Aleksejev)Path Tracing45.96356
Box (by Enrico Cerica)Info Channels265.42404
Box (by Enrico Cerica)Direct Lighting50.39364
Box (by Enrico Cerica)Path Tracing51.00379
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).