# 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<br>                                    creating a snapshot | 0.379 |
| 4K subsequent snapshot latency | Time taken from capturing an image to creating a snapshot<br>                                    (and subsequent snapshots) | 0.372 |
| 4K30 encoding first record latency | First time after boot, time taken from GStreamer Connect to<br>                                    the first video-encoded frame | 2.564 |
| 4K30 encoding subsequent record latency | Time taken from GStreamer Connect to the subsequent<br>                                    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<br>                                        6.300 seconds (user space) = 2 min 9.600 seconds<br>                                        multi-user.target reached after 2 min 6.280 seconds in user<br>                                        space` | 3.300 |
| User space | Syslogs | enforcing=1 old\_enforcing=0 | `1980-01-06T00:00:01.538918+00:00 qcm6490 kernel:<br>                                    [1.854242][T77] audit: type=1404 audit(5.003:2): enforcing=1<br>                                    old_enforcing=0 auid=4294967295 ses=4294967295 enabled=1<br>                                    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:<br>                                        [6.493781][T551] CAM_INFO: CAM-UTIL: camera_init: 297<br>                                        Spectra camera driver initialized.` | 6.494 |
| Total time till recorder init | – | – | `PBL+XBL + Core UEFI + Kernel Loader + Kernel total Time +<br>                                    (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<br><br><br>                                    <br>273.119992: tracing\_mark\_write: B|StartCamera<br><br><br>                                    <br>276.722548: tracing\_mark\_write: B|CreateSession<br><br><br>                                    <br>276.722946: tracing\_mark\_write: B|CreateVideoTrack<br><br><br>                                    <br>276.731158: tracing\_mark\_write: B|StartSession<br><br><br>                                    <br>277.306283: tracing\_mark\_write: E|FirstVidFrame|1 | Connect to Start Camera = StartCamera-Connect<br><br><br>                                    <br>StartCamera to CreateSession = CreateSession -<br>                                        StartCamera<br><br><br>                                    <br>CreateSession to CreateVideoTrack = CreateVideoTrack -<br>                                        CreateSession<br><br><br>                                    <br>CreateVideoTrack to StartSession = StartSession -<br>                                        CreateVideoTrack<br><br><br>                                    <br>StartSession to FirstVidFrame = FirstVidFrame -<br>                                        StartSession<br><br><br>                                    <br>Rec latency = sum of above all | Connect to Start Camera = 273.120-273.083 = 0.037<br><br><br>                                    <br>StartCamera to CreateSession = 276.722 - 273.120 = 3.602<br><br><br>                                    <br>CreateSession to CreateVideoTrack = 276.723 - 276.722 = 0.001<br><br><br>                                    <br>CreateVideoTrack to StartSession = 276.731 - 276.723 =<br>                                        0.008<br><br><br>                                    <br>StartSession to FirstVidFrame = 277.306 - 276.731 = 0.575<br><br><br>                                    <br>Record latency = 4.223 |
| Snapshot latency | 303.975067: tracing\_mark\_write: S|FirstCapImg|0<br><br><br>                                    <br>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

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