Tensorflowのベンチマークを試してみる

こちらのベンチマークを試してみます。ただし今の所GPU環境が無いためCPUのみです。
https://github.com/tensorflow/benchmarks
環境: MacbookPro '13 Core i5-8259U CPU 2.30GHz Python 3.6.6
CPU用に以下のコマンド引数を用います。

python tf_cnn_benchmarks.py --batch_size=512 --model=alexnet --data_format=NHWC --device=cpu

以下結果です。

TensorFlow:  1.14   
Model:       alexnet
Dataset:     imagenet (synthetic)
Mode:        training
SingleSess:  False
Batch size:  512 global
             512 per device
Num batches: 100
Num epochs:  0.04
Devices:     ['/cpu:0']
NUMA bind:   False
Data format: NHWC
Optimizer:   sgd
Variables:   parameter_server
==========

Step	Img/sec	total_loss
1	images/sec: 47.8 +/- 0.0 (jitter = 0.0)	nan
10	images/sec: 47.7 +/- 0.1 (jitter = 0.4)	nan
20	images/sec: 47.7 +/- 0.1 (jitter = 0.3)	nan
30	images/sec: 47.7 +/- 0.1 (jitter = 0.3)	nan
40	images/sec: 47.7 +/- 0.1 (jitter = 0.3)	nan
50	images/sec: 47.7 +/- 0.0 (jitter = 0.3)	nan
60	images/sec: 47.7 +/- 0.0 (jitter = 0.4)	nan
70	images/sec: 47.7 +/- 0.0 (jitter = 0.4)	nan
80	images/sec: 47.6 +/- 0.0 (jitter = 0.4)	nan
90	images/sec: 47.5 +/- 0.1 (jitter = 0.5)	nan
100	images/sec: 47.5 +/- 0.1 (jitter = 0.5)	nan
----------------------------------------------------------------
total images/sec: 47.52
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