OctaneBench® 4.00 - 1x Tesla P100-PCIE-16GB     5 results

Maximum 244.78 Average 240.11
Minimum 233.10 Median 236.03

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
Tesla P100-PCIE-16GB1????

Kernel Score #2 Weight #3 Sub-total
Info Channels2590.1025.92
Direct Lighting2400.4096.17
Path Tracing2360.50118.01
Total Score #2240.11
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels144.63281
Interior (by Julia Lynen)Direct Lighting47.67268
Interior (by Julia Lynen)Path Tracing22.02258
Idea (by Julio Cayetaño)Info Channels168.63196
Idea (by Julio Cayetaño)Direct Lighting47.89228
Idea (by Julio Cayetaño)Path Tracing43.30223
ATV (by Jürgen Aleksejev)Info Channels94.59301
ATV (by Jürgen Aleksejev)Direct Lighting35.90236
ATV (by Jürgen Aleksejev)Path Tracing30.17234
Box (by Enrico Cerica)Info Channels170.16259
Box (by Enrico Cerica)Direct Lighting31.89230
Box (by Enrico Cerica)Path Tracing30.85229
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).