diff --git a/benchmarking/src/llmperf/common_metrics.py b/benchmarking/src/llmperf/common_metrics.py
index b679ea200..39ba2ccae 100644
--- a/benchmarking/src/llmperf/common_metrics.py
+++ b/benchmarking/src/llmperf/common_metrics.py
@@ -29,6 +29,10 @@
 MEAN_INTER_TOKEN_LATENCY = 'client_mean_inter_token_latency_s'  # Mean ITL per request
 MEAN_OUTPUT_THROUGHPUT = 'mean_output_throughput_token_per_s'  # Mean aggregate throughput
 
+# Client network latency metrics (client-observed minus server-reported timings)
+NETWORK_LATENCY_TTFT = 'client_network_latency_ttft_s'  # client_ttft_s - server_ttft_s
+NETWORK_LATENCY_E2E = 'client_network_latency_e2e_s'  # client_end_to_end_latency_s - server_end_to_end_latency_s
+
 # Server-side metrics
 TTFT_SERVER = 'server_ttft_s'
 E2E_LAT_SERVER = 'server_end_to_end_latency_s'
diff --git a/benchmarking/src/llmperf/sambanova_client.py b/benchmarking/src/llmperf/sambanova_client.py
index e9d205925..fdaa3cedb 100644
--- a/benchmarking/src/llmperf/sambanova_client.py
+++ b/benchmarking/src/llmperf/sambanova_client.py
@@ -160,6 +160,19 @@ def _populate_client_metrics(
 
         metrics[common_metrics.E2E_LAT] = total_request_time
 
+        # Client network latency: client-observed time minus server-reported time.
+        # Captures round-trip, request upload, SSE transport, and server queueing.
+        # Left as None when the server didn't report the corresponding timing.
+        ttft_server = metrics.get(common_metrics.TTFT_SERVER)
+        metrics[common_metrics.NETWORK_LATENCY_TTFT] = (
+            ttft - ttft_server if ttft_server is not None else None
+        )
+
+        e2e_lat_server = metrics.get(common_metrics.E2E_LAT_SERVER)
+        metrics[common_metrics.NETWORK_LATENCY_E2E] = (
+            total_request_time - e2e_lat_server if e2e_lat_server is not None else None
+        )
+
         if number_chunks_received == 1:
             metrics[common_metrics.REQ_OUTPUT_THROUGHPUT] = (
                 metrics[common_metrics.NUM_OUTPUT_TOKENS] / total_request_time
diff --git a/benchmarking/src/performance_evaluation.py b/benchmarking/src/performance_evaluation.py
index 6de9365c1..92b3ed896 100644
--- a/benchmarking/src/performance_evaluation.py
+++ b/benchmarking/src/performance_evaluation.py
@@ -244,11 +244,19 @@ def build_metrics_summary(
             common_metrics.NUM_INPUT_TOKENS,
             common_metrics.NUM_OUTPUT_TOKENS,
             common_metrics.MEAN_INTER_TOKEN_LATENCY,
+            common_metrics.NETWORK_LATENCY_TTFT,
+            common_metrics.NETWORK_LATENCY_E2E,
         ]:
             if self.show_results_in_terminal:
                 logger.info(f'Building Client Metrics Summary for metric: {metric}')
             metrics_summary[metric] = {}
 
+            # Skip metric if column is absent (for backward compatibility with old result files)
+            if metric not in metrics_df.columns:
+                if self.show_results_in_terminal:
+                    logger.info(f'    Column {metric} not present, skipping')
+                continue
+
             # Get flattened list from metric column in metrics df
             series = pd.Series(list(flatten(metrics_df[metric]))).dropna()
 
@@ -299,6 +307,12 @@ def build_metrics_summary(
                 logger.info(f'Building Server Metrics Summary for metric: {metric}')
             metrics_summary[metric] = {}
 
+            # Skip metric if column is absent (for backward compatibility with old result files)
+            if metric not in metrics_df.columns:
+                if self.show_results_in_terminal:
+                    logger.info(f'    Column {metric} not present, skipping')
+                continue
+
             # Get flattened list from metric column in metrics df
             series = pd.Series(list(flatten(metrics_df[metric]))).dropna()