OctaneBench® 4.00 - 1x Tesla V100-SXM2-16GB     4 results

Maximum 375.84 Average 368.83
Minimum 352.93 Median 375.84

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
Tesla V100-SXM2-16GB17.03.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels3900.1038.96
Direct Lighting3700.40148.17
Path Tracing3630.50181.70
Total Score #2368.83
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels221.88431
Interior (by Julia Lynen)Direct Lighting75.50424
Interior (by Julia Lynen)Path Tracing33.64394
Idea (by Julio Cayetaño)Info Channels245.77286
Idea (by Julio Cayetaño)Direct Lighting72.12343
Idea (by Julio Cayetaño)Path Tracing64.38332
ATV (by Jürgen Aleksejev)Info Channels145.33463
ATV (by Jürgen Aleksejev)Direct Lighting55.26363
ATV (by Jürgen Aleksejev)Path Tracing46.46360
Box (by Enrico Cerica)Info Channels249.26379
Box (by Enrico Cerica)Direct Lighting48.66352
Box (by Enrico Cerica)Path Tracing49.48368
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).