diff --git a/src/convolutional_layer.c b/src/convolutional_layer.c
index b8065fdf..a3494541 100644
--- a/src/convolutional_layer.c
+++ b/src/convolutional_layer.c
@@ -397,7 +397,9 @@ convolutional_layer make_convolutional_layer(int batch, int h, int w, int c, int
     l.workspace_size = get_workspace_size(l);
     l.activation = activation;
 
-    fprintf(stderr, "conv  %5d %2d x%2d /%2d  %4d x%4d x%4d   ->  %4d x%4d x%4d\n", n, size, size, stride, w, h, c, l.out_w, l.out_h, l.out_c);
+    //fprintf(stderr, "conv  %5d %2d x%2d /%2d  %4d x%4d x%4d   ->  %4d x%4d x%4d\n", n, size, size, stride, w, h, c, l.out_w, l.out_h, l.out_c);
+	l.bflops = (2.0 * l.n * l.size*l.size*l.c * l.out_h*l.out_w) / 1000000000.;
+	fprintf(stderr, "conv  %5d %2d x%2d /%2d  %4d x%4d x%4d   ->  %4d x%4d x%4d %5.3f BF\n", n, size, size, stride, w, h, c, l.out_w, l.out_h, l.out_c, l.bflops);
 
     return l;
 }
diff --git a/src/layer.h b/src/layer.h
index 81e27adf..8a58c927 100644
--- a/src/layer.h
+++ b/src/layer.h
@@ -113,6 +113,7 @@ struct layer{
 	int tanh;
 	int *mask;
 	int total;
+	float bflops;
 
     int adam;
     float B1;
diff --git a/src/maxpool_layer.c b/src/maxpool_layer.c
index 031d116c..41f7a793 100644
--- a/src/maxpool_layer.c
+++ b/src/maxpool_layer.c
@@ -47,7 +47,8 @@ maxpool_layer make_maxpool_layer(int batch, int h, int w, int c, int size, int s
     l.output_gpu  = cuda_make_array(l.output, output_size);
     l.delta_gpu   = cuda_make_array(l.delta, output_size);
     #endif
-    fprintf(stderr, "max          %d x %d / %d  %4d x%4d x%4d   ->  %4d x%4d x%4d\n", size, size, stride, w, h, c, l.out_w, l.out_h, l.out_c);
+	l.bflops = (l.size*l.size*l.c * l.out_h*l.out_w) / 1000000000.;
+    fprintf(stderr, "max          %d x %d / %d  %4d x%4d x%4d   ->  %4d x%4d x%4d %5.3f BF\n", size, size, stride, w, h, c, l.out_w, l.out_h, l.out_c, l.bflops);
     return l;
 }
 
diff --git a/src/parser.c b/src/parser.c
index 7441ae21..2b013de9 100644
--- a/src/parser.c
+++ b/src/parser.c
@@ -712,6 +712,7 @@ network parse_network_cfg_custom(char *filename, int batch)
     params.time_steps = net.time_steps;
     params.net = net;
 
+	float bflops = 0;
     size_t workspace_size = 0;
     n = n->next;
     int count = 0;
@@ -719,7 +720,7 @@ network parse_network_cfg_custom(char *filename, int batch)
     fprintf(stderr, "layer     filters    size              input                output\n");
     while(n){
         params.index = count;
-        fprintf(stderr, "%5d ", count);
+        fprintf(stderr, "%4d ", count);
         s = (section *)n->val;
         options = s->options;
         layer l = {0};
@@ -796,10 +797,12 @@ network parse_network_cfg_custom(char *filename, int batch)
             params.c = l.out_c;
             params.inputs = l.outputs;
         }
+		if (l.bflops > 0) bflops += l.bflops;
     }   
     free_list(sections);
     net.outputs = get_network_output_size(net);
     net.output = get_network_output(net);
+	printf("Total BFLOPS %5.3f \n", bflops);
     if(workspace_size){
         //printf("%ld\n", workspace_size);
 #ifdef GPU