mirror of
https://github.com/vosen/ZLUDA.git
synced 2025-04-25 02:48:56 +03:00
Update README with links to GeekBench results
This commit is contained in:
@ -9,9 +9,13 @@ One measurement has been done using OpenCL and another measurement has been done
|
|||||||
|
|
||||||
Performance below is normalized to OpenCL performance. 110% means that ZLUDA-implemented CUDA is 10% faster on Intel UHD 630.
|
Performance below is normalized to OpenCL performance. 110% means that ZLUDA-implemented CUDA is 10% faster on Intel UHD 630.
|
||||||
|
|
||||||

|

|
||||||
|
|
||||||
Overall in this suite of benchmarks ZLUDA is roughly 4% faster.
|
[ZLUDA detailed log on Geekbench.com](https://browser.geekbench.com/v5/compute/1918048)
|
||||||
|
|
||||||
|
[OpenCL detailed log on Geekbench.com](https://browser.geekbench.com/v5/compute/1918080)
|
||||||
|
|
||||||
|
Overall in this suite of benchmarks faster by approximately 4% on ZLUDA.
|
||||||
|
|
||||||
### Explanation of the results
|
### Explanation of the results
|
||||||
* Why is ZLUDA faster in Stereo Matching, Gaussian Blur and Depth of Field?\
|
* Why is ZLUDA faster in Stereo Matching, Gaussian Blur and Depth of Field?\
|
||||||
|
Reference in New Issue
Block a user