COMPMID-417: Remove 8 batches for NEON VGG convolution layer

Change-Id: I7f613de30aa09797b0035f9c9241fc2cfe076871
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/87099
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
diff --git a/tests/benchmark/NEON/ConvolutionLayer.cpp b/tests/benchmark/NEON/ConvolutionLayer.cpp
index ba68282..6d2857d 100644
--- a/tests/benchmark/NEON/ConvolutionLayer.cpp
+++ b/tests/benchmark/NEON/ConvolutionLayer.cpp
@@ -97,9 +97,10 @@
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types),
                                                             framework::dataset::make("Batches", { 4, 8 })));
 
+// 8 batches use about 2GB of memory which is too much for most devices!
 REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
                                 framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
                                 framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), data_types),