Update README.md

Author: YellowRoseCx

README.md

@@ -4,6 +4,17 @@ To install, run
 ```make LLAMA_HIPBLAS=1```     
 To use ROCM, set GPU layers with --gpulayers when starting koboldcpp
 
+Comparison with OpenCL using 6800xt
+| Model | Offloading Method | Time Taken - Processing 593 tokens| Time Taken - Generating 200 tokens| Total Time | Perf. Diff.
+|-----------------|----------------------------|--------------------|--------------------|------------|---|
+| Robin 7b q6_K |CLBLAST 6-t, All Layers on GPU | 6.8s (11ms/T) | 12.0s (60ms/T)  | 18.7s (10.7T/s) | 1x
+| Robin 7b q6_K |ROCM 1-t, All Layers on GPU   | 1.4s (2ms/T) | 5.5s (28ms/T)   | 6.9s (29.1T/s)| **2.71x**
+| Robin 13b q5_K_M |CLBLAST 6-t, All Layers on GPU | 10.9s (18ms/T) | 16.7s (83ms/T)  | 27.6s (7.3T/s) | 1x
+| Robin 13b q5_K_M |ROCM 1-t, All Layers on GPU   | 2.4s (4ms/T) | 7.8s (39ms/T)   | 10.2s (19.6T/s)| **2.63x**
+| Robin 33b q4_K_S |CLBLAST 6-t, 46/63 Layers on GPU | 23.2s (39ms/T) | 48.6s (243ms/T)  | 71.9s (2.8T/s) | 1x
+| Robin 33b q4_K_S |CLBLAST 6-t, 50/63 Layers on GPU | 25.5s (43ms/T) | 44.6s (223ms/T)  | 70.0s (2.9T/s) | 1x
+| Robin 33b q4_K_S |ROCM 6-t, 46/63 Layers on GPU   | 14.6s (25ms/T) | 44.1s (221ms/T)   | 58.7s (3.4T/s)| **1.19x**
+
 --------
 A self contained distributable from Concedo that exposes llama.cpp function bindings, allowing it to be used via a simulated Kobold API endpoint.