diff --git a/vllm/compilation/backends.py b/vllm/compilation/backends.py
index 50d0df589..09fd1f750 100644
--- a/vllm/compilation/backends.py
+++ b/vllm/compilation/backends.py
@@ -249,7 +249,7 @@ class CompilerManager:
         if graph_index == 0:
             # before compiling the first graph, record the start time
             global compilation_start_time
-            compilation_start_time = time.time()
+            compilation_start_time = time.perf_counter()
 
         compilation_counter.num_backend_compilations += 1
 
@@ -261,8 +261,7 @@ class CompilerManager:
             if graph_index == num_graphs - 1:
                 # after loading the last graph for this shape, record the time.
                 # there can be multiple graphs due to piecewise compilation.
-                now = time.time()
-                elapsed = now - compilation_start_time
+                elapsed = time.perf_counter() - compilation_start_time
                 compilation_config.compilation_time += elapsed
                 logger.info_once(
                     "Directly load the compiled graph(s) for compile range %s "
@@ -362,8 +361,7 @@ class CompilerManager:
 
         # after compiling the last graph, record the end time
         if graph_index == num_graphs - 1:
-            now = time.time()
-            elapsed = now - compilation_start_time
+            elapsed = time.perf_counter() - compilation_start_time
             compilation_config.compilation_time += elapsed
             logger.info_once(
                 "Compiling a graph for compile range %s takes %.2f s",
@@ -974,7 +972,7 @@ class VllmBackend:
         compilation_counter.num_graphs_seen += 1
         from .monitor import torch_compile_start_time
 
-        dynamo_time = time.time() - torch_compile_start_time
+        dynamo_time = time.perf_counter() - torch_compile_start_time
         logger.info_once(
             "Dynamo bytecode transform time: %.2f s", dynamo_time, scope="local"
         )
diff --git a/vllm/compilation/monitor.py b/vllm/compilation/monitor.py
index 2bad5f0a1..43b9ae508 100644
--- a/vllm/compilation/monitor.py
+++ b/vllm/compilation/monitor.py
@@ -14,7 +14,7 @@ torch_compile_start_time: float = 0.0
 
 def start_monitoring_torch_compile(vllm_config: VllmConfig) -> None:
     global torch_compile_start_time
-    torch_compile_start_time = time.time()
+    torch_compile_start_time = time.perf_counter()
 
     compilation_config: CompilationConfig = vllm_config.compilation_config
     path = vllm_config.compile_debug_dump_path()
@@ -30,10 +30,11 @@ def start_monitoring_torch_compile(vllm_config: VllmConfig) -> None:
 
 def end_monitoring_torch_compile(vllm_config: VllmConfig) -> None:
     compilation_config: CompilationConfig = vllm_config.compilation_config
+    total_compile_time: float = time.perf_counter() - torch_compile_start_time
     if compilation_config.mode == CompilationMode.VLLM_COMPILE:
         logger.info_once(
             "torch.compile takes %.2f s in total",
-            compilation_config.compilation_time,
+            total_compile_time,
             scope="local",
         )
         global context_manager
diff --git a/vllm/compilation/piecewise_backend.py b/vllm/compilation/piecewise_backend.py
index 4f6ae2505..f9eb24589 100644
--- a/vllm/compilation/piecewise_backend.py
+++ b/vllm/compilation/piecewise_backend.py
@@ -5,6 +5,7 @@ import dataclasses
 import io
 import json
 import pickle
+import time
 from collections.abc import Callable
 from pickle import Pickler
 from typing import Any
@@ -164,7 +165,16 @@ class PiecewiseBackend:
         if self.is_last_graph and not self.to_be_compiled_ranges:
             # no specific sizes to compile
             # save the hash of the inductor graph for the next run
+            time_before_saving = time.perf_counter()
             self.vllm_backend.compiler_manager.save_to_file()
+            elapsed = time.perf_counter() - time_before_saving
+            if elapsed > 1:
+                logger.info_once(
+                    "Saved compiler manager cache in %.2f seconds.",
+                    elapsed,
+                    scope="local",
+                )
+
             end_monitoring_torch_compile(self.vllm_config)
             # Call the completion callback (e.g., to save AOT compiled function)
             if self.on_compilation_complete is not None: