OctaneBench® 4.00 - 1x GTX 1060 6GB + 1x RTX 2080 Ti     2 results

Maximum 397.39 Average 393.87
Minimum 390.34 Median 390.34

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 1060 6GB1????
RTX 2080 Ti17.53.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels4330.1043.25
Direct Lighting3940.40157.69
Path Tracing3860.50192.92
Total Score #2393.87
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels243.04472
Interior (by Julia Lynen)Direct Lighting80.18450
Interior (by Julia Lynen)Path Tracing35.89420
Idea (by Julio Cayetaño)Info Channels278.83324
Idea (by Julio Cayetaño)Direct Lighting76.36363
Idea (by Julio Cayetaño)Path Tracing68.79355
ATV (by Jürgen Aleksejev)Info Channels160.33511
ATV (by Jürgen Aleksejev)Direct Lighting58.35384
ATV (by Jürgen Aleksejev)Path Tracing48.74377
Box (by Enrico Cerica)Info Channels278.40423
Box (by Enrico Cerica)Direct Lighting52.61380
Box (by Enrico Cerica)Path Tracing52.58391
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).