diff --git a/test-case/test-socwatch.sh b/test-case/test-socwatch.sh
index 47619150..19a179ad 100755
--- a/test-case/test-socwatch.sh
+++ b/test-case/test-socwatch.sh
@@ -62,8 +62,8 @@ socwatch_test_once()
     # set up checkpoint for each iteration
     setup_kernel_check_point
 
-    # load socwatch module, if the module is loaded, go ahead with the testing (-q)
-    sudo "$SOCWATCH_PATH"/drivers/insmod-socwatch -q
+    # load socwatch module, if the module is loaded, try to reload it (-r)
+    sudo "$SOCWATCH_PATH"/drivers/insmod-socwatch -r
     check_socwatch_module_loaded || die "socwatch module not loaded"
 
     ( set -x
@@ -73,9 +73,11 @@ socwatch_test_once()
     # filter output and copy to log directory
     grep "Package C-State Summary: Residency" -B 8 -A 11 "$SOCWATCH_PATH/sofsocwatch-$i.csv" | tee "$SOCWATCH_PATH/socwatch-$i.txt"
     grep "Package Power Summary: Average Rate" -B 6 -A 4 "$SOCWATCH_PATH/sofsocwatch-$i.csv" | tee -a "$SOCWATCH_PATH/socwatch-$i.txt"
+
+    sof-socwatch-parser.py "$SOCWATCH_PATH/socwatch-$i.txt"
     # zip original csv report
     gzip "$SOCWATCH_PATH/sofsocwatch-$i.csv"
-    mv "$SOCWATCH_PATH/socwatch-$i.txt" "$SOCWATCH_PATH/sofsocwatch-$i.csv.gz" "$LOG_ROOT"/
+    mv "$SOCWATCH_PATH/socwatch-$i.txt" "$SOCWATCH_PATH/socwatch-$i.png" "$SOCWATCH_PATH/sofsocwatch-$i.csv.gz" "$LOG_ROOT"/
 
     dlogi "Check for the kernel log status"
     # check kernel log for each iteration to catch issues
diff --git a/tools/sof-socwatch-parser.py b/tools/sof-socwatch-parser.py
new file mode 100755
index 00000000..46320ee3
--- /dev/null
+++ b/tools/sof-socwatch-parser.py
@@ -0,0 +1,52 @@
+#!/usr/bin/env python3
+
+import sys
+import os
+# Fred: Add new dependency
+import matplotlib.pyplot as plt
+
+# Define lists to store C-State names and percentages
+c_states = []
+percentages = []
+
+# Check if the input file parameter is provided
+if len(sys.argv) != 2:
+    print("Usage: python script_name.py input_file.txt")
+    sys.exit(1)
+
+input_file = sys.argv[1]
+
+# Read the input file and extract relevant data
+with open(input_file, "r") as file:
+    lines = file.readlines()
+
+# Iterate through the lines and extract C-State data
+for line in lines:
+    # When line starts with PC
+    if line.strip().startswith("PC"):
+        columns = line.strip().split(',')
+        c_state = columns[0].strip()
+        percentage = float(columns[1].strip())
+        c_states.append(c_state)
+        percentages.append(percentage)
+
+# Plotting the data
+plt.figure(figsize=(10, 6))
+plt.bar(c_states, percentages, color='blue')
+plt.xlabel('C-State')
+plt.ylabel('Residency (%)')
+plt.title('Package C-State Residency')
+plt.ylim(0, 100)  # Set y-axis limit to percentage values
+plt.xticks(rotation=45)
+plt.tight_layout()
+
+# Get the directory and base filename of the input file
+input_dir = os.path.dirname(input_file)
+input_filename = os.path.basename(input_file)
+
+# output_file has same path and same base filename but .png extension
+output_file = os.path.join(input_dir, os.path.splitext(input_filename)[0] + '.png')
+plt.savefig(output_file)
+
+# Display the plot
+#plt.show()