OctaneBench® 4.00 - 1x GTX 1070 + 1x RTX 2070 SUPER     3 results

Maximum 356.01 Average 350.17
Minimum 344.84 Median 344.84

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 107016.
RTX 2070 SUPER1????

Kernel Score #2 Weight #3 Sub-total
Info Channels3760.1037.65
Direct Lighting3520.40140.97
Path Tracing3430.50171.56
Total Score #2350.17
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels214.37416
Interior (by Julia Lynen)Direct Lighting71.62402
Interior (by Julia Lynen)Path Tracing31.49369
Idea (by Julio Cayetaño)Info Channels240.22279
Idea (by Julio Cayetaño)Direct Lighting68.87327
Idea (by Julio Cayetaño)Path Tracing61.51317
ATV (by Jürgen Aleksejev)Info Channels136.85436
ATV (by Jürgen Aleksejev)Direct Lighting51.89341
ATV (by Jürgen Aleksejev)Path Tracing43.14334
Box (by Enrico Cerica)Info Channels246.26375
Box (by Enrico Cerica)Direct Lighting46.91339
Box (by Enrico Cerica)Path Tracing47.40352
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).