Merge pull request #2819 from jasonrandrews/review2

test review flow on Geekbench Learning Path

Author: jasonrandrews

content/learning-paths/servers-and-cloud-computing/geekbench/_index.md

@@ -1,5 +1,5 @@
 ---
-title: Get started with Geekbench on Arm
+title: Run Geekbench on Arm Linux systems
 description: Run Geekbench on Arm systems to benchmark CPU performance, interpret the results, and compare different Arm configurations.
 
 minutes_to_complete: 15
@@ -13,7 +13,7 @@ learning_objectives:
 prerequisites:
 - An Arm computer running Linux. You can use a cloud instance, refer to [Get started with Arm-based cloud instances](/learning-paths/servers-and-cloud-computing/csp/).
 
-author: Ronan Synnott
+author: Jason Andrews
 
 skilllevels: Introductory
 

content/learning-paths/servers-and-cloud-computing/geekbench/geekbench.md

@@ -6,7 +6,7 @@ weight: 2
 
 When selecting Arm-based hardware, you may need a way to compare different systems and select a hardware configuration for your workload. Running benchmarks on different systems with different configurations is a good way to get more information about system performance.
 
-[Geekbench](https://www.geekbench.com/index.html) is a cross-platform benchmark that makes it easy to measure system performance. [Preview Versions](https://www.geekbench.com/preview/) are available for Linux on Arm. You can also check the Geekbench [downloads](https://www.geekbench.com/download/) area for additional operating system options.
+[Geekbench](https://www.geekbench.com/index.html) is a cross-platform benchmark that makes it easy to measure system performance. [Preview Versions](https://www.geekbench.com/preview/) are available for Linux on Arm. You can check the Geekbench [downloads](https://www.geekbench.com/download/) area for additional operating system options.
 
 Geekbench provides a single-core score and a multi-core score, as well as individual performance scores for specific tests. You can use the scores to compare different systems and different configurations. A higher score is better.
 
@@ -18,7 +18,7 @@ You will need a local Arm platform or an [Arm based instance](/learning-paths/se
 
 ## Download
 
-[Preview Versions](https://www.geekbench.com/preview/) of Geekbench 5 and Geekbench 6 binaries are available to download. You can also download them using `wget` as shown below.
+[Preview Versions](https://www.geekbench.com/preview/) of Geekbench 5 and Geekbench 6 binaries are available to download. You can check there for newer versions. You can download versions using `wget` as shown below.
 
 1. Install `wget` to use for the download:
 
@@ -44,7 +44,7 @@ cd Geekbench-6.5.0-LinuxARMPreview
 ./geekbench6
 ```
 
-A number of single-core and multi-core tests are run. When complete, Geekbench uploads the results automatically and provides a link to the results. The `<id>` is a number for your run.
+A number of single-core and multi-core tests are run. When complete, Geekbench uploads the results automatically and provides a link to the results. The output is similar to:
 
 ```output
 Uploading results to the Geekbench Browser. This could take a minute or two
@@ -57,9 +57,9 @@ Upload succeeded. Visit the following link and view your results online:
 
 ## Save your results
 
-You can create an account on [Geekbench browser](https://browser.geekbench.com) and save the results from your runs. This makes it easy to run Geekbench on a variety of systems and see your results together and compare them. You can also add notes to the results to help remember information about each run.
+You can create an account on [Geekbench browser](https://browser.geekbench.com) and save the results from your runs. This makes it easy to run Geekbench on a variety of systems and see your results together and compare them. You can add notes to the results to help remember information about each run.
 
-The `<id>` and `<key>` will be unique numbers for your run.
+The output includes a claim link to add the result to your profile. The expected output is:
 
 ```output
 Visit the following link and add this result to your profile: