# [View benchmark results in the Performix UI](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-system-characterization/3-view-data-in-performix/)

## In this learning path

- [Introduction](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-system-characterization/)
- [Set up Performix and the target machine](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-system-characterization/1-setup/)
- [Benchmark your platform with System Characterization](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-system-characterization/2-run-system-characterization/)
- [View benchmark results in the Performix UI](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-system-characterization/3-view-data-in-performix/)
- [View raw benchmark results and generated plots](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-system-characterization/4-open-results-directory/)
- [Next Steps](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-system-characterization/_next-steps/)

Because the System Characterization recipe uses the standalone Arm System Characterization Tool (ASCT), it creates an output directory for all ASCT results and imports a subset of those results into the GUI. Performix presents the data in tabular form and links to the output directory for plots and raw data.

### Idle latency
In **Idle latency**, ASCT reports memory latency for each non-uniform memory access (NUMA) node while the system is idle. You can use this view to spot bottlenecks caused by workload placement, and to identify which nodes are closest to memory resources.

![Idle latency per NUMA node while the system is idle](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-system-characterization/idle-latency.webp)  
*Idle latency per NUMA node while the system is idle*

### Peak bandwidth
**Peak bandwidth** shows the maximum measured memory bandwidth for different read and write patterns. It compares those results with the theoretical peak bandwidth of the system.

![Measured vs theoretical peak memory bandwidth](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-system-characterization/peak-bandwidth.webp)  
*Measured vs theoretical peak memory bandwidth*

### Cross-NUMA bandwidth
**Cross-NUMA bandwidth** shows the bandwidth achieved when memory requests cross NUMA node boundaries.

![Bandwidth across NUMA node boundaries](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-system-characterization/cross-numa-bandwidth.webp)  
*Bandwidth across NUMA node boundaries*

### Latency sweep
The **Latency sweep** benchmark measures latency by data size to map the cache hierarchy and identify appropriate data sizes for other benchmarks. It highlights the performance characteristics of each level of the cache and memory hierarchy.

![Latency by data size mapping the cache hierarchy](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-system-characterization/latency-sweep-table.webp)  
*Latency by data size mapping the cache hierarchy*

### Bandwidth sweep
The **Bandwidth sweep** benchmark varies the data size used to generate memory accesses. It measures the bandwidth delivered by each level of the memory hierarchy.

![Bandwidth by data size across the memory hierarchy](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-system-characterization/bandwidth-sweep-table.webp)  
*Bandwidth by data size across the memory hierarchy*

### Core-to-core latency
The **Core-to-core latency** benchmark measures the latency of moving data from one core to another. Because the number of core pairs grows quickly, this benchmark runs on only a subset of system cores by default.

![Core-to-core latency for a subset of system cores](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-system-characterization/core-to-core-ui.webp)  
*Core-to-core latency for a subset of system cores*

### System Information
The **System Information** table shows the information collected by ASCT, including CPU, memory, and storage details. Use this view to cross-reference benchmark results with the hardware configuration of the target machine.

![System Information](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-system-characterization/system-information.webp)  
*System Information*

## What you’ve learned and what’s next
You’ve viewed the tabular benchmark results from ASCT in the Arm Performix UI.

Next, you’ll inspect plots from the ASCT output directory that are not yet displayed directly in Performix.