OctaneBench® 4.00 - 2x GTX 780 Ti + 1x RTX 2070 SUPER     2 results

Maximum 425.42 Average 424.85
Minimum 424.28 Median 425.42

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 780 Ti23.5
RTX 2070 SUPER1????

Kernel Score #2 Weight #3 Sub-total
Info Channels4250.1042.45
Direct Lighting4310.40172.34
Path Tracing4200.50210.06
Total Score #2424.85
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels244.19474
Interior (by Julia Lynen)Direct Lighting88.61498
Interior (by Julia Lynen)Path Tracing38.44450
Idea (by Julio Cayetaño)Info Channels281.62328
Idea (by Julio Cayetaño)Direct Lighting86.47411
Idea (by Julio Cayetaño)Path Tracing77.27399
ATV (by Jürgen Aleksejev)Info Channels148.92474
ATV (by Jürgen Aleksejev)Direct Lighting60.83400
ATV (by Jürgen Aleksejev)Path Tracing51.38398
Box (by Enrico Cerica)Info Channels277.56422
Box (by Enrico Cerica)Direct Lighting57.43415
Box (by Enrico Cerica)Path Tracing58.36434
These values are calculated from the averages of all submissions and may not be representative of actual performance.

2 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).