# QCS6490 的性能指标

性能指标的启动时间、系统基准、内存映射和产品细分的关键性能指标 (KPI) 可用于 Qualcomm Linux 参考设备。

## 启动时间

Source: [https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html](https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html)

启动时间是从设备上电到记录器服务初始化所经历的时间。

下表列出了测得的 QCS6490 上的启动时间（单位为秒）：

| 用例 | 值 |
| --- | --- |
| 启动时间（基于日志） | 6.43 |

Note: 值越小越好。

有关测量过程，参见[启动时间测量](https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html#_29-boot-time-measurement-procuedure)。

## 系统基准

Source: [https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html](https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html)

Geekbench 是一种测量 CPU 性能的工具，可提供以下有关 QCS6490 的 CPU 基准分数：

| 基准 | 版本 | 基准分数 |
| --- | --- | --- |
| Geekbench ST | 6.1.0 | 1173 |
| Geekbench MT | 6.1.0 | 3053 |

有关测量过程，参见[系统基准测试](https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html#_30-system-benchmark-measurement-procedure)。

Note: 值越大越好。

## 内存映射

Source: [https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html](https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html)

下表列出了各分区的内存消耗，如非 Linux、静态内核和应用程序。还列出了设备启动后和用例运行期间（例如 30 fps 的 4k 分辨率编码）系统可用的总空闲内存。

| 内存分区 | 启动后 | 4K30 编码 | 4K30720p30 编码 | 4K30 编码 sHDRv2 | 4K30 编码 sHDRv3 |
| --- | --- | --- | --- | --- | --- |
| 总 RAM | 6144 MB | 6144 MB | 6144 MB | 6144 MB | 6144 MB |
| 非 Linux | 611 MB | 611 MB | 611 MB | 611 MB | 611 MB |
| 静态内核 | 151 MB | 151 MB | 151 MB | 151 MB | 151 MB |
| 应用 + 框架 | 490 MB | 1188 MB | 1243 MB | 1434 MB | 1536 MB |
| 总空闲内存 | 4892 MB | 4194 MB | 4139 MB | 3948 MB | 3846 MB |

有关测量过程，参见[内存映射测量](https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html#_31-memory-map-measurement-procedure)。

Note: 空闲内存值越大越好。

## 用例 KPI

Source: [https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html](https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html)

下表列出了各种 QCS6490 摄像头用例的摄像头延迟测量数据（单位为秒）：

| 用例 | 延迟定义 | 延迟 |
| --- | --- | --- |
| 4K 首次拍照延迟 | 开机后从首次捕获图像到创建拍照的时间 | 0.388 |
| 4K 后续拍照延迟 | 从捕获图像到创建拍照（及后续拍照）的时间 | 0.365 |
| 4K30 编码首次录制延迟 | 启动后首次从 GStreamer Connect 连接到第一个视频编码帧的时间 | 3.077 |
| 4K30 编码后续录制延迟 | 从 GStreamer Connect 连接到后续视频编码帧所花费的时间 | 0.303 |
| 4K30 sHDRv2 编码首次录制延迟 | 启动后首次从 GStreamer Connect 连接到第一个 4K30 sHDRv2 视频编码帧的时间 | 3.415 |
| 4K30 sHDRv2 编码后续录制延迟 | 从 GStreamer Connect 连接到后续 4K30 sHDRv2 视频编码帧所花费的时间 | 0.442 |
| 4K30 sHDRv3 编码首次录制延迟 | 启动后首次从 GStreamer Connect 连接到第一个 4K30 sHDRv3 视频编码帧的时间 | 3.456 |
| 4K30 sHDRv3 编码后续录制延迟 | 从 GStreamer Connect 连接到后续 4K30 sHDRv3 视频编码帧所花费的时间 | 0.416 |
| 4K30 G2G（屏幕到屏幕）预览 | 从传感器输出帧到在外部显示屏上预览帧所花费的时间 | 0.2 |

Note: 值越小越好。

有关测量过程，参见[摄像头录制/拍照延迟测量](https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html#_32-camera-recording-snapshot-latency)。

## 测量过程

测量过程包括性能 KPI，例如启动时间、系统基准、录制延迟和拍照延迟。

### 启动时间测量

Source: [https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html](https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html)

启动时间是从上电到记录器服务初始化所经历的时间。

要测量启动时间，执行以下操作：
1. 在设备上电过程中收集串口日志，注意启动加载程序时间。要在 Linux 主机上收集串口日志，执行以下操作：
    1. 用串口将设备与 Linux 主机 PC 连接。
    2. 连接到 UART 终端以获取串口日志。要设置 UART 终端，参见[连接 UART shell](https://docs.qualcomm.com/bundle/publicresource/topics/80-70015-254/how_to.html#connect-to-a-uart-shell)。
    3. 关闭设备。
    4. 打开设备。
    5. 保存终端的串口日志。
2. 设备启动并稳定后，从设备上收集以下日志：

        cat /var/log/syslog > /var/lib/syslog.txt
        systemd-analyze time > /var/lib/systemd-time.txtCopy to clipboard

有关 systemd-analyze 工具的更多信息，参见[分析工具](https://docs.qualcomm.com/doc/80-70015-10SC/topic/13-performance_tools.html)。

下表描述了启动时间 KPI 的启动时间（单位为秒）测量过程及日志标记：

| 启动时间阶段 | 日志 | 起止点的日志标记 | 计算 | 启动时间 |
| --- | --- | --- | --- | --- |
| PBL+XBL | 串口日志 | UEFI Start | `UEFI Start [1818]` | 1.818 |
| 核心 UEFI | 串口日志 | UEFI Total | `UEFI Total: 1071 milliseconds` | 1.071 |
| 内核加载程序 | 串口日志 | Exit EBS [3469] UEFI End | `Exit EBS – (Core UEFI + PBL+XBL)` | 3.469 - (1.071 + 1.818 ) = 0.580 |
| 内核总时间 | systemd-analyze | 内核时间 | `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 |
| 用户空间 | 系统日志 | 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 |
| 记录器初始化时间 | Syslog.txt | Spectra 摄像头驱动程序已初始化 | `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 |
| 截至记录器初始化所经历的总时间 | – | – | `PBL+XBL + Core UEFI + Kernel Loader + Kernel total Time + (recorder init time – user space)` | 11.409 |

### 系统基准测试

Source: [https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html](https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html)

Geekbench 工具可用来根据确立的基准测量系统性能。

要使用 Geekbench 测量系统性能，执行以下操作：

1. 从上游 [https://www.geekbench.com/preview/](https://www.geekbench.com/preview/) 下载适用于 [Linux/ARM](https://cdn.geekbench.com/Geekbench-5.5.1-LinuxARMPreview.tar.gz) 架构的 Geekbench。
Note: Geekbench 6 for Linux/AArch64 是一个预览编译版本。预览编译版本需要主动联网并将基准结果自动上传到 Geekbench 浏览器。
2. 要使用 Geekbench 测量 CPU 基准，执行以下操作：

    1. 将 Geekbench 文件解压，然后从主机推送到设备（使用 SCP 或类似工具）。确保在第一个命令中指定目标 IP 地址。以下是示例命令：

            scp -r Geekbench-6.3.0-LinuxARMPreview root@10.92.174.66:/var/cache/Copy to clipboard

            cd /var/cacheCopy to clipboard

            chmod 777 Geekbench-6.3.0-LinuxARMPreview/*Copy to clipboard
    2. 要运行 Geekbench，可在设备上运行以下命令：

            cd Geekbench-6.3.0-LinuxARMPreviewCopy to clipboard

            ./geekbench_aarch64Copy to clipboard

### 内存映射测量

Source: [https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html](https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html)

内存映射提供有关如何为不同进程分配内存的信息。内存映射测量可以监测映射的进程，并解决任何内存问题。

要计算内存映射，可启动设备并等待设备稳定。然后运行以下命令以从设备收集日志：

    cat /proc/meminfoCopy to clipboard

    cat /proc/iomemCopy to clipboard

    cat /proc/vmstatCopy to clipboard

### 非 Linux 内存

非 Linux 内存使用以下公式计算：

非 Linux = 总 RAM 大小 - Linux 总内存

总 RAM 大小可通过 `cat /proc/meminfo | grep -i "MemTotal"` 计算得出。

MemTotal 为 5512456 kB，相当于约 6 GB 的 RAM。

要使用 `iomem` 计算 Linux 总内存，可运行以下命令：

    cat /proc/iomem | grep SystemCopy to clipboard

以下是命令的输出：

![](data:image/jpeg;base64,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)

Linux 总内存为系统 RAM 地址差之和。

例如：

839fffff − 83600000 = 4194303 bytes = 3.99 MB

### 静态内核

静态内核使用以下公式计算：

静态内核 = Linux 总内存 - MemTotal

MemTotal 在 meminfo 中提供。

MemTotal: 4513944 kB

### 应用 + 框架内存计算

应用和框架使用的内存通过以下公式计算：

应用 + 框架 = MemTotal - 空闲内存

### 空闲内存计算

空闲内存使用以下公式计算：

空闲内存 = MemFree + (缓存 - shmem) + 缓冲区 + ION 缓存

要获取空闲内存详细信息，可运行以下命令：

    cat /proc/meminfoCopy to clipboard

以下是命令的输出：

![](data:image/jpeg;base64,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)

要查看 ION 缓存的 vmstat 日志，可运行以下命令：

    cat /proc/vmstat
    nr_kernel_misc_reclaimable 16217Copy to clipboard

其中，16217 页约为 63.3 MB。计算过程如下：

16217 页 \* 4 kB/页 = 64868 kB（因为 1 kB = 1024 字节）

要转换为兆字节 (MB)，ION 缓存计算如下：

64,868 kB ÷ 1024 = 63.3 MB。

### 摄像头录制/拍照延迟测量

Source: [https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html](https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html)

下文介绍摄像头录制/拍照延迟的测量过程。

要在每次重启时执行预设，可在设备上运行以下命令：

    mount -t debugfs none /sys/kernel/debugCopy to clipboard

    setprop persist.qmmf.kpi.debug 2Copy to clipboard

### 首次录制延迟

要捕获日志，可按以下步骤操作：

1. 启动设备并等待设备稳定。
2. 在一个 shell 中运行以下命令：

        cat /sys/kernel/debug/tracing/trace_pipe > trace.logCopy to clipboard
3. 在另一个 shell 中运行用例。
4. 停止跟踪日志。
5. 要测量录制延迟，参见[参考表](https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html#_32-camera-recording-snapshot-latency__table_idg_qqv_s1c_caharris_03-14-24-231-58-990)。

### 后续录制延迟

1. 启动设备
2. 等待设备稳定后，运行用例。
3. 停止用例。
4. 在一个 shell 中运行以下命令：

        cat /sys/kernel/debug/tracing/trace_pipe > trace.logCopy to clipboard
5. 在另一个 shell 中运行用例。
6. 停止跟踪日志。
7. 要测量录制延迟，参见[参考表](https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html#_32-camera-recording-snapshot-latency__table_idg_qqv_s1c_caharris_03-14-24-231-58-990)。

### 首次拍照延迟

1. 启动设备
2. 在设备稳定后，在一个 shell 中运行以下命令：

        cat /sys/kernel/debug/tracing/trace_pipe > trace.logCopy to clipboard
3. 在另一个 shell 中运行用例。
4. 停止跟踪日志。
5. 要测量拍照延迟，参见[参考表](https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html#_32-camera-recording-snapshot-latency__table_idg_qqv_s1c_caharris_03-14-24-231-58-990)。

### 后续拍照延迟

1. 启动设备
2. 设备稳定后，在另一个 shell 中运行用例。
3. 停止用例。
4. 在一个 shell 中运行以下命令：

        cat /sys/kernel/debug/tracing/trace_pipe > trace.logCopy to clipboard
5. 运行用例。
6. 停止跟踪日志。
7. 要测量拍照延迟，参见[参考表](https://docs.qualcomm.com/doc/80-70015-10SC/topic/46-performance-dashbaord.html#_32-camera-recording-snapshot-latency__table_idg_qqv_s1c_caharris_03-14-24-231-58-990)。

### 显示屏在预览延迟上的差异

1. 启动摄像头预览。
2. 在任意显示屏上启动秒表计时器，并将相机传感器对准计时器。
3. 连接外部显示屏。
4. 使用外部相机拍摄包含外部显示屏预览和秒表计时器窗口的照片。
5. 记录秒表计时器和外部显示屏预览的时间差。

### 测量的参考表

| 用例 | 日志标记 | 计算 | 延迟 |
| --- | --- | --- | --- |
| 录制延迟 | 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 到 StartCamera = StartCamera - Connect<br><br><br>                                    <br>StartCamera 到 CreateSession = CreateSession - StartCamer<br><br><br>                                    <br>CreateSession 到 CreateVideoTrack = CreateVideoTrack - CreateSession<br><br><br>                                    <br>CreateVideoTrack 到 StartSession = StartSession - CreateVideoTrack<br><br><br>                                    <br>StartSession 到 FirstVidFrame = FirstVidFrame - StartSession<br><br><br>                                    <br>录制延迟 = 上述所有值之和 | Connect 到 StartCamera = 273.120-273.083 = 0.037<br><br><br>                                    <br>StartCamera 到 CreateSession = 276.722 - 273.120 = 3.602<br><br><br>                                    <br>CreateSession 到 CreateVideoTrack = 276.723 - 276.722 = 0.001<br><br><br>                                    <br>CreateVideoTrack 到 StartSession = 276.731 - 276.723 = 0.008<br><br><br>                                    <br>StartSession 到 FirstVidFrame = 277.306 - 276.731 = 0.575<br><br><br>                                    <br>录制延迟 = 4.223 |
| 拍照延迟 | 303.975067: tracing\_mark\_write: S|FirstCapImg|0<br><br><br>                                    <br>304.544265: tracing\_mark\_write: S|SnapShot-Shot|0 | 拍照延迟 = snapshot - FirstCapimg | 拍照延迟 = 304.544 - 303.975 = 569 |

Last Published: Nov 28, 2024

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