OctaneBench® 4.00 - 2x GTX TITAN Z     14 results

Maximum 230.90 Average 190.37
Minimum 166.20 Median 199.64


This result includes a Multi-GPU Video Card.

GPU Model No. GPUs No. Cards
OctaneRender Support
v4 v3 v2

Kernel Score #2 Weight #3 Sub-total
Info Channels1720.1017.18
Direct Lighting1950.4078.07
Path Tracing1900.5095.12
Total Score #2190.37
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels101.38197
Interior (by Julia Lynen)Direct Lighting40.60228
Interior (by Julia Lynen)Path Tracing16.90198
Idea (by Julio Cayetaño)Info Channels116.83136
Idea (by Julio Cayetaño)Direct Lighting39.94190
Idea (by Julio Cayetaño)Path Tracing36.36188
ATV (by Jürgen Aleksejev)Info Channels57.46183
ATV (by Jürgen Aleksejev)Direct Lighting26.72176
ATV (by Jürgen Aleksejev)Path Tracing22.58175
Box (by Enrico Cerica)Info Channels112.84172
Box (by Enrico Cerica)Direct Lighting25.90187
Box (by Enrico Cerica)Path Tracing26.98201
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).