OctaneBench® 4.00 - 1x GTX 1060 5GB + 1x RTX 2060 SUPER     1 result

Maximum 288.20 Average 288.20
Minimum 288.20 Median 288.20

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 1060 5GB1????
RTX 2060 SUPER1????

Kernel Score #2 Weight #3 Sub-total
Info Channels3080.1030.80
Direct Lighting2910.40116.33
Path Tracing2820.50141.07
Total Score #2288.20
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels175.23340
Interior (by Julia Lynen)Direct Lighting59.87336
Interior (by Julia Lynen)Path Tracing25.91303
Idea (by Julio Cayetaño)Info Channels200.96234
Idea (by Julio Cayetaño)Direct Lighting55.80265
Idea (by Julio Cayetaño)Path Tracing49.85257
ATV (by Jürgen Aleksejev)Info Channels112.26358
ATV (by Jürgen Aleksejev)Direct Lighting42.41279
ATV (by Jürgen Aleksejev)Path Tracing35.56275
Box (by Enrico Cerica)Info Channels197.59301
Box (by Enrico Cerica)Direct Lighting39.17283
Box (by Enrico Cerica)Path Tracing39.38293
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).