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Machine Learning Benchmark results

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v1 v2 v3
CPU i7 4790k <<== <<==
MEM 32G <<== <<==
GPU GTX 660 <<== GTX 1070
Ubuntu 14.04.4LTS <<== <<==
VGA driver 361.42 <<== 367.35
CUDA 7.5 <<== 8.0RC
cuDNN NA 5005 <<==
Python 2.7.6 <<== <<==
Theano 0.8.2 <<== <<==
Keras 1.0.2 <<== 1.0.4
scikit-learn 0.17.1 <<== <<==
scipy 0.17.1 <<== <<==
numpy 1.11.0 <<== <<==

benchmark_keras(s/epoch)

file name v1 v2 v3
mnist_mlp.py 2s 1s
mnist_cnn.py 26s 10s 3s
imdb_lstm.py 49s 49s 35s
imdb_cnn.py 15s 10s 3s
imdb_cnn_lstm.py 34s 30s 20s
imdb_bidirectional_lstm.py 90s 92s 61s
cifar10_cnn.py 76s 31s 16s

benchmark_sklearn_v1.txt

bench_covertype.py

Classifier train-time test-time error-rate n-jobs
CART 6.8731s 0.0116s 0.0424 1
liblinear 4.3188s 0.0072s 0.2305 1
SGD 0.2960s 0.0244s 0.2315 1
GaussianNB 0.3585s 0.0419s 0.4841 1
ExtraTrees 22.0710s 0.3468s 0.0372 1
ExtraTrees 12.4086s 0.3312s 0.0372 2
ExtraTrees 9.1098s 0.2537s 0.0372 4
ExtraTrees 7.8867s 0.2251s 0.0372 8
RandomForest 19.9885s 0.2347s 0.0330 1
RandomForest 15.5255s 0.2145s 0.0330 2
RandomForest 9.4432s 0.1105s 0.0330 4
RandomForest 8.2592s 0.1364s 0.0330 8

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Machine Learning Benchmark results