# Performance dashboards for QCS6490 Performance dashboards for boot time, system benchmarks, memory map, and product segment KPIs are available for the Qualcomm Linux reference hardware. ## Boot time Source: [https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html](https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html) The boot time KPI measures the duration from device power-on until the initialization of the recorder service. The following table lists the measured boot time on QCS6490: | Use case | Time in seconds | | --- | --- | | Boot time (log-based) | 7.738 seconds | Note: A lower value is better. For measurement procedure, see [Boot time measurement](https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html#_29-boot-time-measurement-procuedure). ## System benchmarks Source: [https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html](https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html) Geekbench, a utility for measuring CPU performance, provides the following CPU benchmark scores on QCS6490: | Benchmark | Version | Benchmark score | | --- | --- | --- | | Geekbench ST | 6.1.0 | 1185 | | Geekbench MT | 6.1.0 | 3081 | For measurement procedure, see [System benchmark measurement](https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html#_30-system-benchmark-measurement-procedure). Note: A higher value is better. ## Memory map Source: [https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html](https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html) The table lists the memory consumption from each section such as non-Linux, kernel static, and applications. It also lists the total free memory available to the system after device bootup and during the use case such as 4k resolution encoding at 30 fps. Note: The values mentioned in the following table are in MB. | Memory partitions | After boot | 4K@30 encode | 4K30720p30 encode | | --- | --- | --- | --- | | Total RAM | 6144 | 6144 | 6144 | | Non-Linux | 628 | 628 | 628 | | Kernel static | 150 | 150 | 150 | | Applications + framework | 473 | 1160 | 1185 | | Total free memory | 4893 | 4206 | 4180 | For measurement procedure, see [Memory map measurement](https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html#_31-memory-map-measurement-procedure). Note: A higher value is better for free memory. ## Use case KPIs Source: [https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html](https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html) The tables list the measurement data for use cases such as camera latency and CPU utilization. ### Latency The following table lists the camera latency measurement data for various QCS6490 camera use cases: | Use case | Latency definition | Latency in seconds | | --- | --- | --- | | 4K first snapshot latency | First time after boot, time taken from capturing an image to
creating a snapshot | 0.379 | | 4K subsequent snapshot latency | Time taken from capturing an image to creating a snapshot
(and subsequent snapshots) | 0.372 | | 4K30 encoding first record latency | First time after boot, time taken from GStreamer Connect to
the first video-encoded frame | 2.564 | | 4K30 encoding subsequent record latency | Time taken from GStreamer Connect to the subsequent
video-encoded frame | 0.309 | Note: A lower value is better. For measurement procedure, see [Camera recording/snapshot latency measurement](https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html#_32-camera-recording-snapshot-latency). ## Measurement procedure The measurement procedure covers performance KPIs, including boot time, system benchmark, record latency, and snapshot latency. ### Boot time measurement Source: [https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html](https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html) Boot time is the duration from power-on to the initialization of the recorder service. To measure boot time, follow these steps: 1. Collect serial logs during the device power-on process, focusing on the boot loader time. To collect the serial logs on a Linux host, follow these steps: 1. Connect the serial cable between the device and the Linux host PC. 2. Connect to the UART terminal to get the serial logs. To set up the UART terminal, see [How to connect to a UART shell](https://docs.qualcomm.com/bundle/publicresource/topics/80-70014-254/how_to.html#how-to-connect-to-a-uart-shell-). 3. Power off the device. 4. Power on the device. 5. Save the serial logs from the terminal. 2. After the device boots up and stabilizes, collect the following logs: cat /var/log/syslog > /var/lib/syslog.txt systemd-analyze time > /var/lib/systemd-time.txt Copy to clipboard For the systemd-analyze tool, see [Analysis tools](https://docs.qualcomm.com/doc/80-70014-10/topic/13-performance_tools.html). The following table describes the boot time measurement procedure for boot time KPI: | Boot time stages | Logs | Log markers for start and end point | Calculation | Boot time in seconds | | --- | --- | --- | --- | --- | | PBL+XBL | Serial logs | UEFI Start | `UEFI Start [1818]` | 1.818 | | Core UEFI | Serial logs | UEFI Total | `UEFI Total: 1071 milliseconds` | 1.071 | | Kernel Loader | Serial logs | Exit EBS [3469] UEFI End | `Exit EBS – (Core UEFI + PBL+XBL)` | 3.469 - (1.071 + 1.818 ) = 0.580 | | Kernel total time | systemd-analyze | Kernel time | `Start-up finished in 3.300 seconds (kernel) + 2 min
6.300 seconds (user space) = 2 min 9.600 seconds
multi-user.target reached after 2 min 6.280 seconds in user
space` | 3.300 | | User space | Syslogs | enforcing=1 old\_enforcing=0 | `1980-01-06T00:00:01.538918+00:00 qcm6490 kernel:
[1.854242][T77] audit: type=1404 audit(5.003:2): enforcing=1
old_enforcing=0 auid=4294967295 ses=4294967295 enabled=1
old-enabled=1 lsm=selinux res=1` | 1.854 | | Recorder init time | Syslog.txt | Spectra camera driver initialized | `1980-01-06T00:02:00.431978+00:00 qcm6490 kernel:
[6.493781][T551] CAM_INFO: CAM-UTIL: camera_init: 297
Spectra camera driver initialized.` | 6.494 | | Total time till recorder init | – | – | `PBL+XBL + Core UEFI + Kernel Loader + Kernel total Time +
(recorder init time – user space)` | 11.409 | ### System benchmark measurement Source: [https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html](https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html) Geekbench is a tool used to measure system performance against established benchmarks. To measure system performance using Geekbench, follow these steps: 1. Download Geekbench for the [Linux/ARM](https://cdn.geekbench.com/Geekbench-5.5.1-LinuxARMPreview.tar.gz) architecture from upstream [https://www.geekbench.com/preview/](https://www.geekbench.com/preview/). Note: The Geekbench 6 for Linux/AArch64 is a preview build. The preview builds require an active internet connection and automatically upload benchmark results to the Geekbench browser. 2. To measure the CPU benchmark using Geekbench, follow these steps: 1. Unzip the Geekbench file and push it into the device from the host, use SCP or a similar tool. Here is an example command: scp -r Geekbench-6.3.0-LinuxARMPreview root@10.92.174.66:/var/cache/Copy to clipboard Note: Ensure to specify the target IP address in this command. cd /var/cacheCopy to clipboard chmod 777 Geekbench-6.3.0-LinuxARMPreview/*Copy to clipboard 2. To run Geekbench, run the following command: cd Geekbench-6.3.0-LinuxARMPreviewCopy to clipboard ./geekbench_aarch64Copy to clipboard ### Memory map measurement Source: [https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html](https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html) A memory map provides information on how memory is allocated for different processes. Measuring a memory map allows you to monitor a mapped process and troubleshoot any memory issues. To calculate the memory map, boot the device and stabilize it. Then run the following commands to collect the logs: cat /proc/meminfoCopy to clipboard cat /proc/iomemCopy to clipboard cat /proc/vmstatCopy to clipboard ### Non-Linux memory Non-Linux memory is calculated using the following formula: Non-Linux = Total RAM Size - Total Linux The total RAM size can be calculated from `cat /proc/meminfo | grep -i "MemTotal"`. MemTotal is 5512456 kB, which corresponds to approximately 6 GB of RAM. To calculate the total Linux memory from `iomem`, run the following command: cat /proc/iomem | grep SystemCopy to clipboard The command output is as follows: ![](data:image/jpeg;base64,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) The total Linux memory is the sum of the differences in the system RAM addresses. For example: 839fffff - 83600000 = 4,194,303 bytes = 3.99 MB ### Kernel static The kernel static is calculated using the following formula: Kernel static = Total Linux - MemTotal MemTotal is available in meminfo. MemTotal: 4513944 kB ### Application + framework memory calculation The memory used by the applications and the framework is calculated using the following formula: Application + framework = MemTotal - Free memory ### Free memory calculation Free memory is calculated using the following formula: Free memory = MemFree + (Cached - shmem) + buffer + ION cache To obtain the free memory information, run the following command: cat /proc/meminfoCopy to clipboard The command output is as follows: ![](data:image/jpeg;base64,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) To check the vmstat logs for ION cache, run the following command: cat /proc/vmstat nr_kernel_misc_reclaimable 16217 Copy to clipboard Here, 16217 pages represent approximately 63.3 MB. 16217 pages × 4 kB/page = 64,868 kB (since 1 kB = 1024 bytes) To convert to megabytes (MB), the ION cache is calculated as follows: The ION cache is 64,868 kB ÷ 1024 = 63.3 MB. ### Camera recording/snapshot latency measurement Source: [https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html](https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html) Measure camera and snapshot latencies for multiple use cases listed in [Use case KPIs](https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html#_26-use-case-kpis). To perform presetting on every reboot, run the following commands: mount -t debugfs none /sys/kernel/debugCopy to clipboard setprop persist.qmmf.kpi.debug 2 Copy to clipboard ### First record latency To capture the logs, follow these steps: 1. Boot the device and wait for it to stabilize. 2. In one shell, run the following command: cat /sys/kernel/debug/tracing/trace_pipe > trace.logCopy to clipboard 3. In another shell, run the use case. 4. Stop the trace log. 5. See the [reference table](https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html#_32-camera-recording-snapshot-latency__table_idg_qqv_s1c_caharris_03-14-24-231-58-990) to measure record latency. ### Subsequent record latency 1. Boot the device. 2. After the device is stabilized, run the use case. 3. Stop the use case. 4. In one shell, run the following command: cat /sys/kernel/debug/tracing/trace_pipe > trace.logCopy to clipboard 5. In another shell, run the use case. 6. Stop the traces. 7. See the [reference table](https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html#_32-camera-recording-snapshot-latency__table_idg_qqv_s1c_caharris_03-14-24-231-58-990) to measure record latency. ### First snapshot latency 1. Boot the device. 2. After the device stabilizes, in one shell, run the following command: cat /sys/kernel/debug/tracing/trace_pipe > trace.logCopy to clipboard 3. In another shell, run the use case. 4. Stop the traces. 5. See the [reference table](https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html#_32-camera-recording-snapshot-latency__table_idg_qqv_s1c_caharris_03-14-24-231-58-990) to measure snapshot latency. ### Subsequent snapshot latency 1. Boot the device. 2. After the device stabilizes, run the use case in another shell. 3. Stop the use case. 4. In one shell, run the following command: cat /sys/kernel/debug/tracing/trace_pipe > trace.logCopy to clipboard 5. Run the use case. 6. Stop the traces. 7. See the [reference table](https://docs.qualcomm.com/doc/80-70014-10/topic/46-performance-dashbaord.html#_32-camera-recording-snapshot-latency__table_idg_qqv_s1c_caharris_03-14-24-231-58-990) to measure snapshot latency. ### Reference table for measurement | Use cases | Log marker | Calculation | Latency | | --- | --- | --- | --- | | Record latency | 273.082629: tracing\_mark\_write: B|Connect



273.119992: tracing\_mark\_write: B|StartCamera



276.722548: tracing\_mark\_write: B|CreateSession



276.722946: tracing\_mark\_write: B|CreateVideoTrack



276.731158: tracing\_mark\_write: B|StartSession



277.306283: tracing\_mark\_write: E|FirstVidFrame|1 | Connect to Start Camera = StartCamera-Connect



StartCamera to CreateSession = CreateSession -
StartCamera



CreateSession to CreateVideoTrack = CreateVideoTrack -
CreateSession



CreateVideoTrack to StartSession = StartSession -
CreateVideoTrack



StartSession to FirstVidFrame = FirstVidFrame -
StartSession



Rec latency = sum of above all | Connect to Start Camera = 273.120-273.083 = 0.037



StartCamera to CreateSession = 276.722 - 273.120 = 3.602



CreateSession to CreateVideoTrack = 276.723 - 276.722 = 0.001



CreateVideoTrack to StartSession = 276.731 - 276.723 =
0.008



StartSession to FirstVidFrame = 277.306 - 276.731 = 0.575



Record latency = 4.223 | | Snapshot latency | 303.975067: tracing\_mark\_write: S|FirstCapImg|0



304.544265: tracing\_mark\_write: S|SnapShot-Shot|0 | Snapshot latency = snapshot - FirstCapimg | Snapshot latency = 304.544 - 303.975 = 569 | Last Published: Jul 12, 2024 [Previous Topic Troubleshooting](https://docs.qualcomm.com/bundle/publicresource/80-70014-10/topics/24-debug.md) [Next Topic Performance dashboards for QCS5430](https://docs.qualcomm.com/bundle/publicresource/80-70014-10/topics/46-performance-dashboard-qcs5430.md)