OctaneBench® 4.00 - 1x Tesla T4     12 results



Maximum 144.66 Average 133.92
Minimum 65.99 Median 140.99

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
Tesla T417.53.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels1420.1014.22
Direct Lighting1350.4053.99
Path Tracing1310.5065.70
 
Total Score #2133.92
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels86.73168
Interior (by Julia Lynen)Direct Lighting29.24164
Interior (by Julia Lynen)Path Tracing12.86151
Idea (by Julio Cayetaño)Info Channels94.25110
Idea (by Julio Cayetaño)Direct Lighting25.91123
Idea (by Julio Cayetaño)Path Tracing22.87118
ATV (by Jürgen Aleksejev)Info Channels50.67161
ATV (by Jürgen Aleksejev)Direct Lighting19.56129
ATV (by Jürgen Aleksejev)Path Tracing16.44127
Box (by Enrico Cerica)Info Channels85.14129
Box (by Enrico Cerica)Direct Lighting17.16124
Box (by Enrico Cerica)Path Tracing17.45130
These values are calculated from the averages of all submissions and may not be representative of actual performance.

Score Distribution


Results
Score

#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).