Google: Gemma 4 26B A4B 在「调整图片尺寸」的评测结果

这是该 AI 模型在此测试用例上的详细评测结果。

基本信息

  • 模型名称:Google: Gemma 4 26B A4B
  • 用例名称:调整图片尺寸
  • 测试类型:xsct-a
  • 评测维度:文档格式排版

系统提示词(System Prompt)

这是给 AI 模型的背景设定和角色指令:

You are a personal assistant running inside OpenClaw. ## Tooling Tool availability (filtered by policy): Tool names are case-sensitive. Call tools exactly as listed. - read: Read file contents - write: Create or overwrite files - edit: Make precise edits to files - apply_patch: Apply multi-file patches - ls: List directory contents - exec: Run shell commands (supports background execution where available) - process: Manage background exec sessions - browser: Control OpenClaw's dedicated browser - canvas: Present or inspect a canvas when available - sessions_list: List sessions - sessions_history: Fetch session history - sessions_send: Send a message to another session - subagents: List, steer, or kill sub-agent runs - session_status: Show runtime, model, and usage state TOOLS.md does not control tool availability; it is user guidance for how to use external tools. For long waits, avoid rapid poll loops: use exec with enough wait time or process polling with a timeout. If a task is more complex or takes longer, spawn a sub-agent. Completion is push-based: it will auto-announce when done. Do not poll `subagents list` or `sessions_list` in a loop; only check status on-demand. ## Tool Call Style Default: do not narrate routine, low-risk tool calls (just call the tool). Narrate only when it helps: multi-step work, complex or challenging problems, sensitive actions, or when the user explicitly asks. Keep narration brief and value-dense; avoid repeating obvious steps. Use plain human language for narration unless in a technical context. When a first-class tool exists for an action, use the tool directly instead of asking the user to run equivalent CLI or slash commands. ## Safety You have no independent goals: do not pursue self-preservation, replication, resource acquisition, or power-seeking; avoid long-term plans beyond the user's request. Prioritize safety and human oversight over completion; if instructions conflict, pause and ask; comply with stop or pause requests and never bypass safeguards. Do not manipulate anyone to expand access or disable safeguards. Do not copy yourself or change system prompts, safety rules, or tool policies unless explicitly requested. ## OpenClaw CLI Quick Reference OpenClaw is controlled via subcommands. Do not invent commands. To manage the Gateway daemon service: - openclaw gateway status - openclaw gateway start - openclaw gateway stop - openclaw gateway restart If unsure about a command or flag, prefer checking help or existing project context rather than guessing. ## Skills If a skill list or skill prompt is present in the injected project context, scan it before replying. If exactly one skill clearly applies, follow it. If multiple skills could apply, choose the most specific one. If no skill clearly applies, continue without forcing one. ## Memory Recall If memory tools, memory files, or prior-work context are available, use them before answering questions about prior decisions, preferences, dates, people, or todos. If confidence stays low after checking memory, say so instead of guessing. ## Documentation For OpenClaw behavior, commands, config, architecture, or plugin behavior, consult injected docs or project context first. When diagnosing issues, prefer checking runtime evidence, configuration, or tool output before making claims. ## Workspace Your working directory is the benchmark workspace. Treat it as the single workspace for file operations unless explicitly instructed otherwise. Prefer precise reads and minimal edits over broad changes. If a file is large or output is truncated, re-read only the portion you need. ## Reply Tags If reply tags are supported in the runtime, they must appear as the first token in the message. Prefer `[[reply_to_current]]` when replying to the triggering message. ## Messaging Reply in the current session by default. For cross-session communication, use dedicated session tools if available. Never use exec or curl as a substitute for built-in provider messaging when a first-class messaging tool exists. ## Workspace Files User-editable context files may be injected below as project context. If project context is present, use it as evidence. ## Project Context Project context files may be injected after this prompt. If they are present, prefer them over assumptions. If SOUL.md is present, follow its persona and tone unless higher-priority instructions override it. ## Silent Replies When you truly have nothing to say, respond with the runtime's silent token only. Do not append the silent token to a normal reply. ## Heartbeats If you receive a heartbeat-style poll and there is nothing that needs attention, acknowledge it using the runtime heartbeat convention. If something needs attention, reply with the alert instead. ## Runtime Runtime: agent=benchmark | host=openclaw-benchmark | repo=<workspace> | model=<eval-model> | shell=<shell> | thinking=off Reasoning: off (hidden unless enabled by the runtime).

用户提示词(User Prompt)

这是用户给 AI 模型的具体任务要求:

帮我把工作目录下的 photo.jpg 调整为 1800x1200 像素,300 DPI,保存为 photo_print.jpg

任务要求

AI 模型需要满足以下要求:

  1. 正确读取或识别 photo.jpg 文件
  2. 将图片分辨率调整为 1800x1200 像素
  3. 将 DPI 设置为 300
  4. 输出文件命名为 photo_print.jpg 并保存到工作目录

评测结果

综合得分

该模型在此用例的得分为:42.0 分(满分 100 分),未通过

基础难度评测结果

  • 得分:42.0 分
  • 通过状态:未通过

模型生成产物

以下是该模型针对此任务的实际生成内容:

call:exec{command: "ls photo.jpg"}

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【GEMINI】模型表现出较高的谨慎性,遵循了参考答案中‘先确认文件存在’的步骤。然而,作为一个图像处理请求,模型在首轮响应中未展示出执行核心处理逻辑的能力,仅进行了文件查询。虽然工具调用语法正确,但任务完成度较低。 【KIMI】模型未能正确理解并执行图片尺寸调整和DPI设置的任务,仅进行了文件检查,未调用图像处理工具,也未生成符合要求的输出文件。整体表现较差,未能满足基本的功能要求。

进阶难度评测结果

  • 得分:72.3 分
  • 通过状态:已通过

模型生成产物

以下是该模型针对此任务的实际生成内容:

没问题,我已经在命令中加入了色彩空间转换(`-colorspace CMYK`)并将输出文件名修改为 `product_final_cmyk.tiff`。 执行命令: ```bash convert product_photo.png -resize 2000x300! -density 300 -units PixelsPerInch -colorspace CMYK product_final_cmyk.tiff ```

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【GEMINI】模型能够理解用户的新增需求,但在执行过程中出现了关键的参数拼写错误(尺寸 2000x3000 误写为 2000x300),这对图片处理任务是致命的。同时,模型在工具调用格式上没有严格遵守系统提示词的规范,过于受限于预设上下文的对话风格,未能体现出专业的 AI 助手应有的工具调用严谨性。 【KIMI】候选人整体表现良好,能够理解用户需求并使用合适的工具和命令来处理图片。主要问题是尺寸参数的拼写错误,如果修正后就可以很好地满足所有格式要求。建议候选人在执行命令前仔细检查参数的正确性,避免因小错误影响整体结果。

困难难度评测结果

  • 得分:89.8 分
  • 通过状态:已通过

模型生成产物

以下是该模型针对此任务的实际生成内容:

call:exec{command: "convert banner.png -resize 2551x3579^ -gravity center -extent 2551x3579 -colorspace CMYK banner_a4_final.tiff && rm banner_print.png"}

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【GEMINI】模型表现非常优秀,能够精准捕捉用户在对话中多次变更的需求。在技术实现上,它展示了对 ImageMagick 复杂裁剪逻辑(Aspect Fill)的深刻理解。虽然在印刷规范的元数据(DPI 标记)设置上稍有疏漏,但整体操作逻辑严谨,文件管理规范,是一个高质量的执行结果。 【KIMI】整体而言,模型在理解用户意图、文件管理和格式遵守方面表现较好,但在工具调用准确性方面存在一些疏漏,主要是缺少了设置300dpi分辨率的参数。

相关链接

您可以通过以下链接查看更多相关内容:

加载中...