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

Maximum 355.59 Average 353.80
Minimum 350.69 Median 355.13

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 1070 Ti1????
RTX 207017.53.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels3760.1037.60
Direct Lighting3570.40142.80
Path Tracing3470.50173.40
Total Score #2353.80
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels213.39414
Interior (by Julia Lynen)Direct Lighting73.25411
Interior (by Julia Lynen)Path Tracing31.65371
Idea (by Julio Cayetaño)Info Channels247.26288
Idea (by Julio Cayetaño)Direct Lighting69.33329
Idea (by Julio Cayetaño)Path Tracing62.10320
ATV (by Jürgen Aleksejev)Info Channels134.48428
ATV (by Jürgen Aleksejev)Direct Lighting51.67340
ATV (by Jürgen Aleksejev)Path Tracing43.30335
Box (by Enrico Cerica)Info Channels245.87374
Box (by Enrico Cerica)Direct Lighting48.09347
Box (by Enrico Cerica)Path Tracing48.55361
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).