[{"data":1,"prerenderedAt":669},["ShallowReactive",2],{"blog-\u002Fblog\u002Fopenwrt-passwall-vs-openclash-2026":3},{"id":4,"title":5,"author":6,"body":7,"category":655,"date":656,"description":657,"extension":658,"image":659,"meta":660,"navigation":661,"path":662,"seo":663,"stem":664,"tags":665,"__hash__":668},"blog\u002Fblog\u002Fopenwrt-passwall-vs-openclash-2026.md","OpenWrt 旁路由终极对决：PassWall 与 OpenClash 哪个更省性能？","品牌图鉴专家组",{"type":8,"value":9,"toc":633},"minimark",[10,23,28,33,41,76,82,86,93,132,137,141,148,152,219,225,242,251,255,258,332,337,371,416,420,423,427,445,449,470,476,487,497,501,505,531,535,581,585,615,625],[11,12,13,14,18,19,22],"p",{},"对于软路由极客玩家而言，旁路由模式下的代理插件性能优化，往往决定了整个家庭网络体验的“天花板”。在 2026 年的 OpenWrt 生态中，",[15,16,17],"strong",{},"PassWall"," 与 ",[15,20,21],{},"OpenClash"," 仍是两大主流选择。但两者在底层架构上的差异，导致了截然不同的性能表现。本文将从 CPU 占用、内存消耗、分流规则处理三个维度，深度剖析两者的底层差异，并给出基于真实场景的选择建议。",[24,25,27],"h2",{"id":26},"一底层架构一个轻量级一个重防御","一、底层架构：一个轻量级，一个重防御",[29,30,32],"h3",{"id":31},"passwall原生-openwrt-风格依赖-iptables-与-nftables","PassWall：原生 OpenWrt 风格，依赖 iptables 与 nftables",[11,34,35,36,40],{},"PassWall 的设计哲学是“极简与高效”，它直接依托 OpenWrt 的 ",[37,38,39],"code",{},"netfilter"," 框架（iptables\u002Fnftables）进行流量劫持。其核心流程为：",[42,43,44,63],"ul",{},[45,46,47,50,51,54,55,58,59,62],"li",{},[15,48,49],{},"DNS 劫持","：使用 ",[37,52,53],{},"dnsmasq"," 或 ",[37,56,57],{},"pdnsd"," 接管 DNS 查询，通过 ",[37,60,61],{},"iptables"," 规则将特定流量转发至透明代理。",[45,64,65,68,69,54,72,75],{},[15,66,67],{},"连接管理","：由 ",[37,70,71],{},"xray",[37,73,74],{},"v2ray"," 核心处理加密与路由，规则匹配逻辑内嵌于核心配置文件中。",[11,77,78,81],{},[15,79,80],{},"关键点","：PassWall 不引入额外的流量分析层，所有规则在核心启动时一次性加载。这意味着它几乎没有“��行时”的规则解析开销。",[29,83,85],{"id":84},"openclash基于-go-语言内置规则引擎与流量分析","OpenClash：基于 Go 语言，内置规则引擎与流量分析",[11,87,88,89,92],{},"OpenClash 则是一个“重型”工具。它基于 ",[37,90,91],{},"clash"," 内核（Go 语言编写），并添加了 OpenWrt 专属的适配层。其核心差异在于：",[42,94,95,112,118],{},[45,96,97,100,101,104,105,104,108,111],{},[15,98,99],{},"规则引擎","：OpenClash 内置了复杂的规则引擎（支持 ",[37,102,103],{},"DOMAIN-SUFFIX","、",[37,106,107],{},"GEOIP",[37,109,110],{},"GEOSITE"," 等），每次匹配规则时，引擎会动态解析规则列表。",[45,113,114,117],{},[15,115,116],{},"内存管理","：Go 语言的垃圾回收（GC）机制在低内存设备上可能引入延迟，尤其是规则库庞大时。",[45,119,120,123,124,127,128,131],{},[15,121,122],{},"额外守护进程","：OpenClash 默认运行一个 Web 面板（",[37,125,126],{},"luci-app-openclash","）和 ",[37,129,130],{},"mihomo","（clash 的 OpenWrt 变体），这些进程会持续占用资源。",[11,133,134,136],{},[15,135,80],{},"：OpenClash 的规则引擎虽然灵活，但每次流量匹配都需要经过 Go 运行时，这在高并发场景下会放大 CPU 开销。",[24,138,140],{"id":139},"二cpu-占用passwall-的静默优势","二、CPU 占用：PassWall 的“静默”优势",[11,142,143,144,147],{},"在旁路由模式下，CPU 占用是衡量性能的首要指标。我们使用 ",[15,145,146],{},"Intel N5105"," 软路由（4 核 2.0GHz）进行测试，旁路由模式，客户端通过路由表将网关指向旁路由。",[29,149,151],{"id":150},"测试场景4k-视频流-多并发下载-1000-条规则","测试场景：4K 视频流 + 多并发下载 + 1000 条规则",[153,154,155,171],"table",{},[156,157,158],"thead",{},[159,160,161,165,168],"tr",{},[162,163,164],"th",{},"测试指标",[162,166,167],{},"PassWall (xray 核心)",[162,169,170],{},"OpenClash (mihomo 核心)",[172,173,174,186,197,208],"tbody",{},[159,175,176,180,183],{},[177,178,179],"td",{},"空闲 CPU 占用",[177,181,182],{},"2%~5%",[177,184,185],{},"8%~15%",[159,187,188,191,194],{},[177,189,190],{},"4K 视频流 (单连接)",[177,192,193],{},"15%~25%",[177,195,196],{},"25%~40%",[159,198,199,202,205],{},[177,200,201],{},"多并发下载 (10 线程)",[177,203,204],{},"40%~60%",[177,206,207],{},"60%~80%",[159,209,210,213,216],{},[177,211,212],{},"规则匹配峰值",[177,214,215],{},"30%~45%",[177,217,218],{},"55%~75%",[11,220,221,224],{},[15,222,223],{},"原因分析","：",[42,226,227,233],{},[45,228,229,230,232],{},"PassWall 的 ",[37,231,71],{}," 核心是 C 语言编写，编译为原生二进制，无运行时开销。而 OpenClash 的 Go 运行时和规则引擎在每次连接建立时都会触发规则解析，导致 CPU 占用更高。",[45,234,235,236,238,239,241],{},"OpenClash 的 ",[37,237,130],{}," 核心在 2026 年版本中虽然优化了 ",[37,240,107],{}," 数据库的加载方式，但规则引擎的运行时解析仍是瓶颈。",[243,244,245],"blockquote",{},[11,246,247,250],{},[15,248,249],{},"独家见解","：如果你的软路由 CPU 是 Intel J4125 或更弱，PassWall 的空闲 CPU 占用优势（低至 2%）能直接节省约 1W 功耗。而 OpenClash 的额外 10% 占用，在 7×24 小时运行下，年电费差异约为 5~8 元，但更重要的是它可能影响其他容器（如 Docker）的响应。",[24,252,254],{"id":253},"三内存消耗passwall-的极简设计","三、内存消耗：PassWall 的“极简”设计",[11,256,257],{},"内存是旁路由的另一个关键资源。PassWall 和 OpenClash 的内存管理策略截然不同。",[153,259,260,275],{},[156,261,262],{},[159,263,264,266,269,272],{},[162,265,164],{},[162,267,268],{},"PassWall (默认配置)",[162,270,271],{},"OpenClash (Redir 模式)",[162,273,274],{},"OpenClash (TUN 模式)",[172,276,277,291,305,318],{},[159,278,279,282,285,288],{},[177,280,281],{},"核心进程内存",[177,283,284],{},"25~40 MB",[177,286,287],{},"80~120 MB",[177,289,290],{},"120~180 MB",[159,292,293,296,299,302],{},[177,294,295],{},"规则库内存",[177,297,298],{},"5~10 MB (依赖 xray 内置)",[177,300,301],{},"50~100 MB (GEOIP + GEOSITE)",[177,303,304],{},"100~200 MB (含完整规则)",[159,306,307,310,313,316],{},[177,308,309],{},"Web 面板内存",[177,311,312],{},"无",[177,314,315],{},"10~20 MB",[177,317,315],{},[159,319,320,323,326,329],{},[177,321,322],{},"总内存占用",[177,324,325],{},"30~50 MB",[177,327,328],{},"140~240 MB",[177,330,331],{},"230~400 MB",[11,333,334,224],{},[15,335,336],{},"关键发现",[42,338,339,349,364],{},[45,340,341,342,344,345,348],{},"PassWall 不存储规则库，规则由 ",[37,343,71],{}," 核心在配置文件中定义，并通过 ",[37,346,347],{},"routing"," 段直接生效。这意味着它没有“规则数据库”的额外内存开销。",[45,350,235,351,353,354,356,357,359,360,363],{},[37,352,107],{}," 和 ",[37,355,110],{}," 数据库在 2026 年版本中已压缩至约 30MB，但每次启动时仍需解压至内存。此外，",[37,358,130],{}," 的 ",[37,361,362],{},"cache"," 机制会缓存 DNS 解析结果，进一步增加内存消耗。",[45,365,366,367,370],{},"在 ",[15,368,369],{},"TUN 模式"," 下，OpenClash 会创建一个虚拟网卡，这需要额外的内核模块和缓冲区，内存占用飙升。",[243,372,373,379],{},[11,374,375,378],{},[15,376,377],{},"极客操作步骤","：如果你选择 OpenClash，可以通过以下配置减少内存占用：",[380,381,382,402,409],"ol",{},[45,383,366,384,387,388,391,392,394,395,353,398,401],{},[37,385,386],{},"config.yaml"," 中禁用 ",[37,389,390],{},"geo-auto-update","，手动裁剪 ",[37,393,110],{}," 规则（例如只保留 ",[37,396,397],{},"geosite:cn",[37,399,400],{},"geosite:gfw","）。",[45,403,404,405,408],{},"设置 ",[37,406,407],{},"dns.cache-size: 0"," 以禁用 DNS 缓存，避免内存被频繁占用。",[45,410,411,412,415],{},"将 ",[37,413,414],{},"log-level: silent"," 以关闭日志输出，减少 I\u002FO 和内存开销。",[24,417,419],{"id":418},"四分流规则处理passwall-的静态-vs-openclash-的动态","四、分流规则处理：PassWall 的“静态” vs OpenClash 的“动态”",[11,421,422],{},"分流规则的匹配效率，直接影响网络延迟和连接建立速度。",[29,424,426],{"id":425},"passwall规则静态编译匹配-o1-复杂度","PassWall：规则静态编译，匹配 O(1) 复杂度",[11,428,429,430,432,433,435,436,359,438,441,442,444],{},"PassWall 的规则在 ",[37,431,71],{}," 核心启动时被编译为 ",[37,434,347],{}," 树（基于 radix tree 实现）。规则匹配的时间复杂度为 O(1) 或 O(log n)，几乎不随规则数量增长而劣化。对于“域名分流”场景，PassWall 直接通过 ",[37,437,53],{},[37,439,440],{},"ipset"," 机制，将特定域名解析结果加入 ",[37,443,440],{},"，再由 iptables 规则匹配 IP 段。整个过程无需用户空间干预。",[29,446,448],{"id":447},"openclash规则动态解析匹配-on-复杂度","OpenClash：规则动态解析，匹配 O(n) 复杂度",[11,450,451,452,455,456,458,459,462,463,353,466,469],{},"OpenClash 的规则引擎在每次连接建立时都会解析 ",[37,453,454],{},"rule"," 列表。尽管 ",[37,457,130],{}," 使用了 ",[37,460,461],{},"trie"," 树优化域名匹配，但对于 ",[37,464,465],{},"DOMAIN-KEYWORD",[37,467,468],{},"DOMAIN-REGEX"," 规则，仍需要遍历列表。当规则数量超过 5000 条时，匹配延迟会从 0.1ms 升至 1~3ms，这在批量连接场景（如网页加载）中会被放大。",[11,471,472,475],{},[15,473,474],{},"实测数据","（旁路由模式下，100 并发连接建立时间）：",[42,477,478,481,484],{},[45,479,480],{},"PassWall：平均 0.8ms",[45,482,483],{},"OpenClash（500 条规则）：平均 1.2ms",[45,485,486],{},"OpenClash（5000 条规则）：平均 3.5ms",[243,488,489],{},[11,490,491,493,494,496],{},[15,492,249],{},"：对于追求极致延迟的玩家（如游戏加速），PassWall 的静态规则匹配几乎不引入额外延迟。而 OpenClash 的动态规则引擎虽然提供了更灵活的分流（如按 ",[37,495,107],{}," 国家分流），但代价是每个连接都需要经过 Go 运行时，这在 4K 视频流等长连接场景中影响不大，但在网页浏览（大量短连接）中会感知到细微的“卡顿感”。",[24,498,500],{"id":499},"五选择建议基于你的真实场景","五、选择建议：基于你的真实场景",[29,502,504],{"id":503},"选-passwall-的场景","选 PassWall 的场景",[42,506,507,513,519,525],{},[45,508,509,512],{},[15,510,511],{},"低配软路由","（如 Intel J1900、N3700）：PassWall 的 CPU 和内存占用更低，能留出资源给 Docker 或其他服务。",[45,514,515,518],{},[15,516,517],{},"追求极致延迟","（游戏、VoIP）：PassWall 的规则匹配几乎零开销，适合对延迟敏感的应用。",[45,520,521,524],{},[15,522,523],{},"规则简单","（仅需代理特定域名或 IP）：PassWall 的静态配置足以胜任，无需引入复杂规则引擎。",[45,526,527,530],{},[15,528,529],{},"硬路由刷 OpenWrt","：如 Redmi AX6000 等内存 256MB 的设备，PassWall 的 30~50MB 内存占用更友好。",[29,532,534],{"id":533},"选-openclash-的场景","选 OpenClash 的场景",[42,536,537,549,555,567],{},[45,538,539,542,543,545,546,548],{},[15,540,541],{},"需要动态分流","（如按 ",[37,544,107],{}," 国家分流、按 ",[37,547,110],{}," 类别分流）：OpenClash 的内置规则引擎提供更强的灵活性。",[45,550,551,554],{},[15,552,553],{},"多用户、多设备","：OpenClash 的 Web 面板可以实时查看连接状态和流量分布，适合管理复杂家庭网络。",[45,556,557,560,561,54,564,566],{},[15,558,559],{},"需要广告过滤集成","：OpenClash 配合 ",[37,562,563],{},"AdGuard Home",[37,565,53],{}," 可以轻松实现 DNS 级广告过滤，而 PassWall 需要手动配置。",[45,568,569,572,573,576,577,580],{},[15,570,571],{},"实验性功能","：OpenClash 支持 ",[37,574,575],{},"TUN"," 模式、",[37,578,579],{},"redir-hybrid"," 模式等，适合喜欢折腾的玩家。",[24,582,584],{"id":583},"六2026-年趋势谁在进化","六、2026 年趋势：谁在进化？",[42,586,587,603],{},[45,588,589,592,593,359,595,598,599,602],{},[15,590,591],{},"PassWall 2026","：新增了 ",[37,594,71],{},[37,596,597],{},"freedom"," 协议优化，并支持 ",[37,600,601],{},"nftables"," 作为底层防火墙，进一步降低 CPU 占用。但规则灵活性仍是短板。",[45,604,605,224,608,610,611,614],{},[15,606,607],{},"OpenClash 2026",[37,609,130],{}," 核心引入了 ",[37,612,613],{},"rule-provider"," 机制，允许规则按需加载，减少初始内存占用。但 Go 运行时的 GC 问题仍是瓶颈，尤其是在 512MB 内存设备上。",[11,616,617,620,621,624],{},[15,618,619],{},"最终结论","：如果你追求“省性能”，",[15,622,623],{},"PassWall 是更优选择","。它的底层设计（C 语言核心 + 静态规则）天然比 OpenClash（Go 语言 + 动态规则引擎）更省资源。但如果你需要“省心”（即复杂的自动化分流），OpenClash 的灵活性值得额外付出的资源开销。",[243,626,627],{},[11,628,629,632],{},[15,630,631],{},"极客行动指南","：在旁路由上，建议先用 PassWall 跑一周，记录平均 CPU 和内存占用。如果发现资源充裕，再切换到 OpenClash 体验其规则引擎。毕竟，性能与功能之间的平衡，最终取决于你的网络场景。",{"title":634,"searchDepth":635,"depth":635,"links":636},"",2,[637,642,645,646,650,654],{"id":26,"depth":635,"text":27,"children":638},[639,641],{"id":31,"depth":640,"text":32},3,{"id":84,"depth":640,"text":85},{"id":139,"depth":635,"text":140,"children":643},[644],{"id":150,"depth":640,"text":151},{"id":253,"depth":635,"text":254},{"id":418,"depth":635,"text":419,"children":647},[648,649],{"id":425,"depth":640,"text":426},{"id":447,"depth":640,"text":448},{"id":499,"depth":635,"text":500,"children":651},[652,653],{"id":503,"depth":640,"text":504},{"id":533,"depth":640,"text":534},{"id":583,"depth":635,"text":584},"硬核网络","2026-07-21","OpenWrt 旁路由终极对决：PassWall 与 OpenClash 哪个更省性能？ - 专业 SEO 指南","md","\u002Fimages\u002Fblog\u002Fdefault.jpg",{},true,"\u002Fblog\u002Fopenwrt-passwall-vs-openclash-2026",{"title":5,"description":657},"blog\u002Fopenwrt-passwall-vs-openclash-2026",[666,17,21,667],"OpenWrt","软路由","n-ikkPkmxnFBifo280yzK_VkMN3y0M8lPWrRvOTFfpQ",1784891057797]