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-rw-r--r--tensorflow/docs_src/performance/performance_models.md2
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diff --git a/tensorflow/docs_src/performance/performance_models.md b/tensorflow/docs_src/performance/performance_models.md
index d415c29aa1..9ca1e77ff5 100644
--- a/tensorflow/docs_src/performance/performance_models.md
+++ b/tensorflow/docs_src/performance/performance_models.md
@@ -140,7 +140,7 @@ performance and increase the flexiblity of models.
Most TensorFlow operations used by a CNN support both NHWC and NCHW data format.
On GPU, NCHW is faster. But on CPU, NHWC is sometimes faster.
-Building a model to support both date formats keeps the model flexible and
+Building a model to support both data formats keeps the model flexible and
capable of operating optimally regardless of platform. Most TensorFlow
operations used by a CNN support both NHWC and NCHW data format. The benchmark
script was written to support both NCHW and NHWC. NCHW should always be used