diff --git a/ml/monitor.html b/ml/monitor.html
index 2cfea17..5aa53e3 100644
--- a/ml/monitor.html
+++ b/ml/monitor.html
@@ -558,7 +558,7 @@ function renderStatus(s) {
       <div class="c"><div><b>${tot}%</b><span>CPU</span></div></div></div>
       <div class="gpurows">${gr('占用', `${tot}% · ${CP.n} 核`, tot, col)}
       <div class="cores">${bars}</div></div></div>
-      <div class="gname">每核占用（深色=忙）</div>`;
+      <div class="gname">${CP.model || 'CPU'} · 每核占用（深色=忙）</div>`;
   })() : '';
   $('gpu').innerHTML = (gpuBlk + (gpuBlk && cpuBlk ? hr : '') + cpuBlk) || empty('未检测到 nvidia-smi / psutil');
 
diff --git a/ml/monitor.py b/ml/monitor.py
index c56a21a..c7ff04d 100644
--- a/ml/monitor.py
+++ b/ml/monitor.py
@@ -17,7 +17,7 @@
   N-11 Windows 子进程用 CREATE_NO_WINDOW 自带隐藏控制台：关掉控制台黑窗口训练照跑，重开控制台可接着看、可停止；
   N-9 生成阶段的行数按文件增量统计（只读新增字节），其他阶段不扫 shard；
   N-12 停止后的状态改写走 ml.pstate（单一写者、原子替换）；N-14 阶段名/估时/权重由 ml.pstate.STAGES 下发。"""
-import argparse, glob, json, os, re, shutil, signal, subprocess, sys, threading, time, webbrowser
+import argparse, glob, json, os, platform, re, shutil, signal, subprocess, sys, threading, time, webbrowser
 sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 from ml import pstate
 from http.server import ThreadingHTTPServer, BaseHTTPRequestHandler
@@ -71,6 +71,22 @@ def read_log(name, offset):
 _CPU = {'v': {}}
 
 
+def cpu_name():
+    """CPU 型号：psutil 只有核数，型号得自己读——Windows 在注册表，Linux 在 /proc/cpuinfo。"""
+    try:
+        if os.name == 'nt':
+            import winreg
+            with winreg.OpenKey(winreg.HKEY_LOCAL_MACHINE, r'HARDWARE\DESCRIPTION\System\CentralProcessor\0') as k:
+                return re.sub(r'\s+', ' ', winreg.QueryValueEx(k, 'ProcessorNameString')[0]).strip()
+        with open('/proc/cpuinfo') as f:
+            for ln in f:
+                if ln.startswith('model name'):
+                    return ln.split(':', 1)[1].strip()
+    except Exception:
+        pass
+    return platform.processor().strip()
+
+
 class CpuSampler(threading.Thread):
     """后台每秒阻塞采样一次 CPU。cpu_percent 是"距上次调用"的差值：放在请求里算，窗口取决于两次
     HTTP 请求的间隔（网页 1 秒轮询 + 手动 curl 会把它压成几毫秒，读数恒为 0）——所以单独一个线程按固定
@@ -80,10 +96,11 @@ class CpuSampler(threading.Thread):
     def run(self):
         try:
             import psutil
+            name = cpu_name()                                       # 型号只读一次，别每秒翻注册表
             psutil.cpu_percent(interval=None, percpu=True)          # 打桩：第一次恒为 0，丢掉
             while True:
                 per = psutil.cpu_percent(interval=1.0, percpu=True)
-                _CPU['v'] = {'total': round(sum(per) / max(1, len(per)), 1), 'per': [round(x) for x in per], 'n': len(per)}
+                _CPU['v'] = {'total': round(sum(per) / max(1, len(per)), 1), 'per': [round(x) for x in per], 'n': len(per), 'model': name}
         except Exception:
             _CPU['v'] = {}