diff --git a/cscs-checks/apps/tensorflow/tf_horovod_check.py b/cscs-checks/apps/tensorflow/tf_horovod_check.py
new file mode 100644
index 0000000000..27b8b77e38
--- /dev/null
+++ b/cscs-checks/apps/tensorflow/tf_horovod_check.py
@@ -0,0 +1,54 @@
+import reframe as rfm
+import reframe.utility.sanity as sn
+
+
+@rfm.required_version('>=2.16-dev0')
+@rfm.simple_test
+class TensorFlowHorovodTest(rfm.RunOnlyRegressionTest):
+    def __init__(self):
+        super().__init__()
+        self.descr = 'Distributed training with TensorFlow and Horovod'
+        self.valid_systems = ['daint:gpu', 'dom:gpu']
+        self.valid_prog_environs = ['PrgEnv-gnu']
+        tfshortver = '1.11'
+        self.sourcesdir = 'https://github.com/tensorflow/benchmarks'
+        self.modules = ['Horovod/0.15.0-CrayGNU-18.08-tf-%s.0' % tfshortver]
+        self.reference = {
+            'dom:gpu': {
+                'throughput': (1133.6, None, 0.05, 'images/s'),
+            },
+            'daint:gpu': {
+                'throughput': (4403.0, None, 0.05, 'images/s')
+            },
+        }
+        self.perf_patterns = {
+            'throughput': sn.avg(sn.extractall(
+                r'total images/sec:\s+(?P<throughput>\S+)',
+                self.stdout, 'throughput', float))
+        }
+        self.sanity_patterns = sn.assert_found(
+            r'[\S+\s+] INFO NET\/IB : Using interface ipogif0'
+            r' for sideband communication', self.stdout)
+        self.num_tasks_per_node = 1
+        if self.current_system.name == 'dom':
+            self.num_tasks = 8
+        elif self.current_system.name == 'daint':
+            self.num_tasks = 32
+
+        self.pre_run = ['git checkout cnn_tf_v%s_compatible' % tfshortver]
+        self.variables = {
+            'NCCL_DEBUG': 'INFO',
+            'NCCL_IB_HCA': 'ipogif0',
+            'NCCL_IB_CUDA_SUPPORT': '1',
+            'OMP_NUM_THREADS': '$SLURM_CPUS_PER_TASK',
+        }
+        self.executable = ('python')
+        self.executable_opts = [
+            'scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py',
+            '--model inception3',
+            '--batch_size 64',
+            '--variable_update horovod',
+            '--log_dir ./logs',
+            '--train_dir ./checkpoints']
+        self.tags = {'production'}
+        self.maintainers = ['MS', 'RS']