diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/scripts/README.md b/hpvm/test/dnn_benchmarks/hpvm-c/scripts/README.md
index bcde5c03ab8f6a19e027938d14749e05b057290d..3a4e115b47d846cd8bbb28247a61545a9b02537f 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/scripts/README.md
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/scripts/README.md
@@ -1,16 +1,20 @@
 ## Running CNN benchmarks
 
-We provide 2 scripts to run the CNN benchmarks automatically: run_dnn.py and run_dnns.py. 
+NOTE: Before running the CNN benchmarks on NVIDIA Jetson TX2, the following script must be executed in order to ensure that the clocks are running at the maximum frequency:
+```
+bash jetson_clocks.sh
+```
+
+We provide two scripts to run the CNN benchmarks automatically: run_dnn.py and run_dnns.py. 
 
 In order to run all CNN benchmarks, execute the following:
 ```
 python run_dnns.py
 ```
 
-And to run a particular benchmark, one must specify the name of the benchmark:
+And to run a particular benchmark, one must specify the name of the benchmark. The valid names of the benchmarks are: alexnet_cifar10, alexnet2_cifar10, alexnet_imagenet, lenet_mnist, mobilenet_cifar10, resnet18_cifar10, resnet50_imagenet, vgg16_cifar10, vgg16_cifar100 and vgg16_imagenet.
 ```
 python run_dnn.py <dnn_name>
 ```
  
-These scripts not only automate the execution of the benchmarks, but also produce trade-off curves between accuracy and performance for executed benchmarks. These trade-off curves are placed under ./hpvm/hpvm/docs/tradeoff-curves. Trade-off curves for the CNN benchmarks suit are already provided as examples.
-
+These scripts not only automate the execution of the benchmarks, but also produce trade-off curves between accuracy and performance for executed benchmarks. These trade-off curves are named as <dnn_name>-tradeoff-curves.txt under ./hpvm/hpvm/docs/tradeoff-curves. Trade-off curves for the CNN benchmarks suit are already provided as examples under ./hpvm/hpvm/docs/tradeoff-curves.