OctaneBench® 4.00 - 2x GTX 780 Ti + 1x GTX 980 Ti     4 results

Maximum 392.30 Average 390.79
Minimum 388.88 Median 391.54

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 780 Ti23.5
GTX 980 Ti15.2

Kernel Score #2 Weight #3 Sub-total
Info Channels3690.1036.89
Direct Lighting3960.40158.53
Path Tracing3910.50195.37
Total Score #2390.79
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels203.72395
Interior (by Julia Lynen)Direct Lighting78.31440
Interior (by Julia Lynen)Path Tracing34.28401
Idea (by Julio Cayetaño)Info Channels247.12287
Idea (by Julio Cayetaño)Direct Lighting80.37382
Idea (by Julio Cayetaño)Path Tracing72.81376
ATV (by Jürgen Aleksejev)Info Channels127.22405
ATV (by Jürgen Aleksejev)Direct Lighting56.22370
ATV (by Jürgen Aleksejev)Path Tracing47.57368
Box (by Enrico Cerica)Info Channels254.74387
Box (by Enrico Cerica)Direct Lighting54.53394
Box (by Enrico Cerica)Path Tracing56.18418
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).