diff --git a/codecarbon/external/hardware.py b/codecarbon/external/hardware.py
index 07d88e52e..f9fc624f7 100644
--- a/codecarbon/external/hardware.py
+++ b/codecarbon/external/hardware.py
@@ -239,11 +239,37 @@ def _get_power_from_cpu_load(self):
                 f"CPU load {self._tdp} W and {cpu_load:.1f}% {load_factor=} => estimation of {power} W for whole machine."
             )
         elif self._tracking_mode == "process":
-
-            cpu_load = self._process.cpu_percent(interval=0.5) / self._cpu_count
+            # Get CPU usage for main process
+            cpu_load = self._process.cpu_percent(interval=0.5)
+
+            # Add CPU usage from all child processes (recursive)
+            # This makes CPU tracking consistent with RAM tracking
+            try:
+                children = self._process.children(recursive=True)
+                logger.info(f"Found {len(children)} child processes")
+                for child in children:
+                    try:
+                        # Use interval=0.0 for children to avoid blocking
+                        child_cpu = child.cpu_percent(interval=0.0)
+                        logger.info(f"Child {child.pid} CPU: {child_cpu}")
+                        cpu_load += child_cpu
+                    except (
+                        psutil.NoSuchProcess,
+                        psutil.AccessDenied,
+                        psutil.ZombieProcess,
+                    ):
+                        # Child process may have terminated or we don't have access
+                        continue
+            except (psutil.NoSuchProcess, psutil.AccessDenied):
+                # Main process terminated or access denied
+                pass
+
+            # Normalize by CPU count
+            logger.info(f"Total CPU load (all processes): {cpu_load}")
+            cpu_load = cpu_load / self._cpu_count
             power = self._tdp * cpu_load / 100
             logger.debug(
-                f"CPU load {self._tdp} W and {cpu_load * 100:.1f}% => estimation of {power} W for process {self._pid}."
+                f"CPU load {self._tdp} W and {cpu_load * 100:.1f}% => estimation of {power} W for process {self._pid} (including children)."
             )
         else:
             raise Exception(f"Unknown tracking_mode {self._tracking_mode}")
diff --git a/tests/test_child_process_tracking.py b/tests/test_child_process_tracking.py
new file mode 100644
index 000000000..70bf9fa8d
--- /dev/null
+++ b/tests/test_child_process_tracking.py
@@ -0,0 +1,109 @@
+import multiprocessing
+import os
+import sys
+import time
+
+from codecarbon import EmissionsTracker
+
+"""
+Test script to verify that CPU tracking includes child processes
+when using tracking_mode="process".
+
+This test creates multiple child processes that perform CPU-intensive work
+and verifies that the CPU usage is properly tracked.
+"""
+
+
+def cpu_intensive_work(duration, process_id):
+    """Perform CPU-intensive work for the specified duration"""
+    print(f"Child process {process_id} starting CPU-intensive work for {duration}s")
+    end_time = time.time() + duration
+    iterations = 0
+    while time.time() < end_time:
+        # Perform some CPU-intensive calculations
+        _ = sum(i * i for i in range(10000))
+        iterations += 1
+    print(f"Child process {process_id} completed {iterations} iterations")
+
+
+def test_child_process_tracking():
+    """Test that child processes are tracked in process mode"""
+    print("=" * 80)
+    print("Testing CPU Child Process Tracking")
+    print("=" * 80)
+
+    # Start tracker in process mode
+    print("\nStarting EmissionsTracker in 'process' mode...")
+    tracker = EmissionsTracker(
+        tracking_mode="process",
+        measure_power_secs=1,
+        save_to_file=False,
+        log_level="info",
+        force_mode_cpu_load=True,  # Force software estimation to test our fix
+    )
+    tracker.start()
+
+    print(f"Main process PID: {os.getpid()}")
+
+    # Spawn multiple child processes
+    num_processes = 4
+    work_duration = 5  # seconds
+
+    print(f"\nSpawning {num_processes} child processes for {work_duration}s each...")
+    processes = []
+    for i in range(num_processes):
+        p = multiprocessing.Process(target=cpu_intensive_work, args=(work_duration, i))
+        p.start()
+        processes.append(p)
+        print(f"  Started child process {i} (PID: {p.pid})")
+
+    # Wait for children to complete
+    print("\nWaiting for child processes to complete...")
+    for i, p in enumerate(processes):
+        p.join()
+        print(f"  Child process {i} completed")
+
+    # Stop tracker and get emissions
+    print("\nStopping tracker...")
+    emissions = tracker.stop()
+
+    # Display results
+    print("\n" + "=" * 80)
+    print("RESULTS")
+    print("=" * 80)
+    print(f"Total emissions: {emissions:.6f} kg CO2")
+    print(f"CPU energy: {tracker.final_emissions_data.cpu_energy:.6f} kWh")
+    print(f"CPU power: {tracker.final_emissions_data.cpu_power:.2f} W")
+    print(f"Duration: {tracker.final_emissions_data.duration:.2f} s")
+
+    # Verify that we tracked some CPU usage
+    if tracker.final_emissions_data.cpu_energy > 0:
+        print("\n✓ SUCCESS: CPU energy was tracked (child processes included)")
+    else:
+        print("\n✗ FAILURE: No CPU energy tracked")
+        return False
+
+    # Calculate expected minimum energy
+    # With 4 child processes running CPU-intensive work for 5 seconds,
+    # we should see significant CPU usage
+    expected_min_power = 10  # Watts (conservative estimate)
+    if tracker.final_emissions_data.cpu_power >= expected_min_power:
+        print(
+            f"✓ SUCCESS: CPU power ({tracker.final_emissions_data.cpu_power:.2f}W) is above minimum threshold ({expected_min_power}W)"
+        )
+    else:
+        print(
+            f"⚠ WARNING: CPU power ({tracker.final_emissions_data.cpu_power:.2f}W) is below expected threshold ({expected_min_power}W)"
+        )
+        print("  This might indicate child processes are not being tracked properly")
+
+    print("\n" + "=" * 80)
+    return True
+
+
+if __name__ == "__main__":
+    # Set start method for multiprocessing
+    multiprocessing.set_start_method("spawn", force=True)
+
+    success = test_child_process_tracking()
+    sys.exit(0 if success else 1)