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 ----------------------------------------------------------------