OctaneBench® 4.00 - 1x GTX 1050 Ti + 1x RTX 2070 SUPER     2 results

Maximum 273.22 Average 273.12
Minimum 273.01 Median 273.01

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 1050 Ti1????
RTX 2070 SUPER1????

Kernel Score #2 Weight #3 Sub-total
Info Channels2920.1029.21
Direct Lighting2740.40109.60
Path Tracing2690.50134.30
Total Score #2273.12
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels164.19319
Interior (by Julia Lynen)Direct Lighting55.91314
Interior (by Julia Lynen)Path Tracing24.96292
Idea (by Julio Cayetaño)Info Channels190.54222
Idea (by Julio Cayetaño)Direct Lighting53.34253
Idea (by Julio Cayetaño)Path Tracing48.03248
ATV (by Jürgen Aleksejev)Info Channels107.01341
ATV (by Jürgen Aleksejev)Direct Lighting40.39266
ATV (by Jürgen Aleksejev)Path Tracing34.15264
Box (by Enrico Cerica)Info Channels188.93287
Box (by Enrico Cerica)Direct Lighting36.39263
Box (by Enrico Cerica)Path Tracing36.31270
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).