Merge pull request #3530 from jasonrandrews/review

Update Geekbench Learning Path to version 7

Author: jasonrandrews

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

@@ -1,14 +1,14 @@
 ---
-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.
+title: Benchmark Arm CPU performance with Geekbench
+description: Run Geekbench 7 on Arm Linux systems to benchmark single-core and multi-core CPU performance and compare hardware configurations.
 
 minutes_to_complete: 15
 
 who_is_this_for: This is an introductory topic for software developers interested in comparing the performance of Arm Linux computers using Geekbench.
 
 learning_objectives:
-- Learn how to install and run Geekbench
-- Use Geekbench to help determine the appropriate hardware configuration for your workload
+- Install and run Geekbench 7 on an Arm Linux system
+- Compare Geekbench 7 scores to determine the appropriate hardware configuration for your workload
 
 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/).
@@ -40,8 +40,8 @@ further_reading:
         link: https://www.infoq.com/articles/arm-vs-x86-cloud-performance/
         type: blog
     - resource:
-        title: GCP, AWS, and Azure ARM-based server performance comparison
-        link: https://apisix.apache.org/blog/2022/08/12/arm-performance-google-aws-azure-with-apisix/
+        title: Geekbench 7 announcement
+        link: https://www.geekbench.com/blog/2026/07/geekbench-7/
         type: blog
     - resource:
         title: Geekbench How it actually works

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

@@ -4,55 +4,57 @@ title: Download and run Geekbench
 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.
+When selecting Arm-based hardware, you might 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 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. This Learning Path uses Geekbench 7, the latest version, with a [preview build available for Linux on Arm](https://www.geekbench.com/preview/). 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.
+Geekbench provides a single-core score and a multi-core score. It also reports individual performance scores for specific tests. You can use the scores to compare different systems and different configurations. A higher score is better.
 
-Additional features are available with a purchased [license](https://www.primatelabs.com/store/).
+A purchased [license](https://www.primatelabs.com/store/) unlocks additional features.
 
 ## Before you begin
 
-You will need a local Arm platform or an [Arm based instance](/learning-paths/servers-and-cloud-computing/csp/) from a cloud service provider. Geekbench 5 requires `Ubuntu 16.04 LTS` or later and Geekbench 6 requires `Ubuntu 18.04 LTS` or later.
+You'll need a local Arm platform or an [Arm based instance](/learning-paths/servers-and-cloud-computing/csp/) from a cloud service provider. Geekbench 7 requires Ubuntu 22.04 LTS or later.
+
+Older versions are also available on the [Geekbench preview downloads page](https://www.geekbench.com/preview/): Geekbench 6 requires Ubuntu 18.04 LTS or later and Geekbench 5 requires Ubuntu 16.04 LTS or later.
 
 ## Download
 
-[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.
+Download the Geekbench 7 Linux/AArch64 preview binary using `wget`. Check the [Geekbench preview downloads page](https://www.geekbench.com/preview/) for newer versions.
 
-1. Install `wget` to use for the download:
+Install `wget` to use for the download:
 
 ```bash
 sudo apt install -y wget
 ```
 
-2. Download, extract the archive:
+Download and extract the archive:
 
 ```bash
-wget https://cdn.geekbench.com/Geekbench-6.5.0-LinuxARMPreview.tar.gz
-tar -xf Geekbench-6.5.0-LinuxARMPreview.tar.gz
+wget https://cdn.geekbench.com/Geekbench-7.0.0-LinuxARMPreview.tar.gz
+tar -xf Geekbench-7.0.0-LinuxARMPreview.tar.gz
 ```
 
 ## Run
 
 There is no need for a browser or Linux desktop to run the benchmark. The Linux command line is all you need.
 
-Navigate to the extracted directory and run the `geekbench6` benchmark.
+Navigate to the extracted directory and run the `geekbench7` benchmark.
 
 ```bash
-cd Geekbench-6.5.0-LinuxARMPreview
-./geekbench6
+cd Geekbench-7.0.0-LinuxARMPreview
+./geekbench7
 ```
 
-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:
+Geekbench runs a series of single-core and multi-core tests. 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
 depending on the speed of your internet connection.
 
 Upload succeeded. Visit the following link and view your results online:
 
-  https://browser.geekbench.com/v6/cpu/<id>
+  https://browser.geekbench.com/v7/cpu/<id>
 ```
 
 ## Save your results
@@ -64,5 +66,15 @@ The output includes a claim link to add the result to your profile. The expected
 ```output
 Visit the following link and add this result to your profile:
 
-  https://browser.geekbench.com/v6/cpu/<id>/claim?key=<key>
+  https://browser.geekbench.com/v7/cpu/<id>/claim?key=<key>
 ```
+
+## Verify your results
+
+Open the results URL in a browser. You should see a page with your system information, a single-core score, and a multi-core score. If both scores appear, Geekbench ran successfully.
+
+A higher score indicates better performance. You can compare your result against other Arm systems in the [Geekbench Browser](https://browser.geekbench.com).
+
+## Summary
+
+You've installed and run Geekbench 7 on an Arm Linux system and saved your results for comparison. Use the Geekbench Browser to compare scores across different Arm instance types and configurations to help determine the best hardware for your workload.