OctaneBench® 4.00 - 1x GTX 1060 3GB + 1x RTX 2070 SUPER     1 result

Maximum 302.96 Average 302.96
Minimum 302.96 Median 302.96

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 1060 3GB1????
RTX 2070 SUPER1????

Kernel Score #2 Weight #3 Sub-total
Info Channels3240.1032.42
Direct Lighting3050.40121.81
Path Tracing2970.50148.73
Total Score #2302.96
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels183.01355
Interior (by Julia Lynen)Direct Lighting62.40351
Interior (by Julia Lynen)Path Tracing27.24319
Idea (by Julio Cayetaño)Info Channels209.41244
Idea (by Julio Cayetaño)Direct Lighting58.95280
Idea (by Julio Cayetaño)Path Tracing52.75272
ATV (by Jürgen Aleksejev)Info Channels118.69378
ATV (by Jürgen Aleksejev)Direct Lighting44.84295
ATV (by Jürgen Aleksejev)Path Tracing37.47290
Box (by Enrico Cerica)Info Channels210.35320
Box (by Enrico Cerica)Direct Lighting40.50293
Box (by Enrico Cerica)Path Tracing41.52309
These values are calculated from the averages of all submissions and may not be representative of actual performance.

1 result

#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).