diff --git a/lib/nnc/cmd/scaled_dot_product_attention/mps/ccv_nnc_scaled_dot_product_attention_mps.m b/lib/nnc/cmd/scaled_dot_product_attention/mps/ccv_nnc_scaled_dot_product_attention_mps.m
index 5d726ab7e..6c285c748 100644
--- a/lib/nnc/cmd/scaled_dot_product_attention/mps/ccv_nnc_scaled_dot_product_attention_mps.m
+++ b/lib/nnc/cmd/scaled_dot_product_attention/mps/ccv_nnc_scaled_dot_product_attention_mps.m
@@ -188,14 +188,14 @@ static int _ccv_nnc_scaled_dot_product_attention_forw(const ccv_nnc_cmd_t cmd, c
 				mps_k = [graph transposeTensor:mps_k dimension:-3 withDimension:-2 name:nil];
 				mps_v = [graph transposeTensor:mps_v dimension:-3 withDimension:-2 name:nil];
 				MPSGraphTensor* mps_o = [graph scaledDotProductAttentionWithQueryTensor:mps_q keyTensor:mps_k valueTensor:mps_v scale:scale name:nil];
+				mps_o = [graph transposeTensor:mps_o dimension:-3 withDimension:-2 name:nil];
 				[resultTensors addObject:mps_o];
-				[graph dump];
 			});
 			MPSGraphTensorData* data_q = ccv_nnc_mps_graph_tensor_data(q, qdim, qstride);
 			MPSGraphTensorData* data_k = ccv_nnc_mps_graph_tensor_data(k, kdim, kstride);
 			MPSGraphTensorData* data_v = ccv_nnc_mps_graph_tensor_data(v, vdim, vstride);
 			MPSGraphTensorData* data[] = {data_q, data_k, data_v};
-			ccv_nnc_mps_graph_executable_result(executable, command_buffer, @[data[indices[0]], data[indices[1]]], &o, (int*[]){ o->info.dim }, (int*[]){ o->stride }, 1, 0);
+			ccv_nnc_mps_graph_executable_result(executable, command_buffer, @[data[indices[0]], data[indices[1]], data[indices[2]]], &o, (int*[]){ o->info.dim }, (int*[]){ o->stride }, 1, 0);
 			ccv_nnc_stream_context_finish_mps_command_buffer(stream_context, command_buffer);
 			return CCV_NNC_EXEC_SUCCESS;
 			/*
diff --git a/test/int/nnc/mpsblas.tests.c b/test/int/nnc/mpsblas.tests.c
index a3ab3fcd2..5b0d43a2b 100644
--- a/test/int/nnc/mpsblas.tests.c
+++ b/test/int/nnc/mpsblas.tests.c
@@ -1530,7 +1530,8 @@ TEST_CASE("scaled dot product attention with mps")
 #define num_short_trials 2
 #define num_trials (num_long_trials + num_short_trials)
 
-	for (int trial = 0; trial < num_trials; ++trial) {
+	ccv_nnc_enable_flag(CCV_NNC_DISABLE_METAL_FLASH_ATTENTION);
+	for (int trial = 0; trial < 1; ++trial) {
 		int B_candidates[num_trials] =         {  32,  32,   3, 2, 1 };
 		int R_candidates[num_trials] =         { 128, 128,  61, 6, 2 };
 		int C_candidates[num_trials] =         { 128, 128,  49, 2, 1 };