diff --git a/src/gallium/drivers/ethosu/ethosu_coefs.c b/src/gallium/drivers/ethosu/ethosu_coefs.c
index 3505ee147ab..cbb9609d811 100644
--- a/src/gallium/drivers/ethosu/ethosu_coefs.c
+++ b/src/gallium/drivers/ethosu/ethosu_coefs.c
@@ -87,12 +87,14 @@ fill_scale_and_biases(struct ethosu_subgraph *subgraph, struct ethosu_operation
       uint32_t shift;
       int scale = ethosu_quantize_scale(conv_scale, &shift);
 
+      uint64_t bias = biases ? biases[i] : 0;
+
       if (ethosu_ml_device(subgraph->base.device)->is_u65)
          encode_bias_scale_u65(
-            biases[i], scale, shift, &(*scales)[idx]);
+            bias, scale, shift, &(*scales)[idx]);
       else
          encode_bias_scale_u85(
-            biases[i], scale, shift, &(*scales)[idx]);
+            bias, scale, shift, &(*scales)[idx]);
 
       /* Saved for NPU_SET_OFM_SCALE emission in the command stream. */
       if (i == 0) {
diff --git a/src/gallium/drivers/ethosu/ethosu_lower.c b/src/gallium/drivers/ethosu/ethosu_lower.c
index e296127cbf2..5a91d8b1402 100644
--- a/src/gallium/drivers/ethosu/ethosu_lower.c
+++ b/src/gallium/drivers/ethosu/ethosu_lower.c
@@ -105,6 +105,8 @@ ethosu_lower_convolution(struct ethosu_subgraph *subgraph,
                          struct pipe_tensor *input_tensor,
                          struct ethosu_operation *operation)
 {
+   uint8_t *bias_data = poperation->conv.bias_tensor ? poperation->conv.bias_tensor->data : NULL;
+
    operation->type = ETHOSU_OPERATION_TYPE_CONVOLUTION;
 
    operation->conv.depthwise = is_depthwise(poperation);
@@ -148,8 +150,8 @@ ethosu_lower_convolution(struct ethosu_subgraph *subgraph,
    allocate_feature_maps(subgraph, operation);
 
    ethosu_sched_operation(subgraph, operation);
-   fill_coefs(subgraph, operation,
-              (int32_t *)poperation->conv.bias_tensor->data,
+
+   fill_coefs(subgraph, operation, (int32_t *)bias_data,
               poperation->conv.weight_tensor->data,
               poperation->conv.weight_tensor->dims[0] *
               poperation->conv.weight_tensor->dims[1] *