OctaneBench® 4.00 - 1x RTX 2070 + 1x RTX 2080     9 results

Maximum 473.71 Average 433.45
Minimum 407.09 Median 426.96

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
RTX 207017.53.08X
RTX 208017.53.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels4730.1047.29
Direct Lighting4350.40174.15
Path Tracing4240.50212.02
Total Score #2433.45
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels270.56525
Interior (by Julia Lynen)Direct Lighting89.69504
Interior (by Julia Lynen)Path Tracing39.26460
Idea (by Julio Cayetaño)Info Channels304.77354
Idea (by Julio Cayetaño)Direct Lighting84.80403
Idea (by Julio Cayetaño)Path Tracing75.30389
ATV (by Jürgen Aleksejev)Info Channels173.15552
ATV (by Jürgen Aleksejev)Direct Lighting63.70419
ATV (by Jürgen Aleksejev)Path Tracing53.50414
Box (by Enrico Cerica)Info Channels302.60460
Box (by Enrico Cerica)Direct Lighting57.57416
Box (by Enrico Cerica)Path Tracing58.34434
These values are calculated from the averages of all submissions and may not be representative of actual performance.

Score Distribution


#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).