- WINDOWS VS MAC FOR BIG DATA HOW TO
- WINDOWS VS MAC FOR BIG DATA INSTALL
- WINDOWS VS MAC FOR BIG DATA PRO
- WINDOWS VS MAC FOR BIG DATA CODE
Don't get me wrong, I expected RTX3060Ti to be faster overall, but I can't reason why it's running so slow on the augmented dataset. One thing is certain - these results are unexpected. Keep in mind that two models were trained, one with and one without data augmentation: Image 5 - Custom model results in seconds (M1: 106.2 M1 augmented: 133.4 RTX3060Ti: 22.6 RTX3060Ti augmented: 134.6) (image by author) We'll now compare the average training time per epoch for both M1 and custom PC on the custom model architecture. RTX3060Ti - Data Science Benchmark Results Print(f'Duration: ')įinally, let's see the results of the benchmarks. Valid_data = valid_datagen.flow_from_directory( Train_data = train_datagen.flow_from_directory( # USED ON A TEST WITHOUT DATA AUGMENTATION Use only a single pair of train_datagen and valid_datagen at a time: import os I've split this test into two parts - a model with and without data augmentation.
WINDOWS VS MAC FOR BIG DATA CODE
Let's go over the code used in the tests.
WINDOWS VS MAC FOR BIG DATA HOW TO
Refer to the following article for detailed instructions on how to organize and preprocess it: Long story short, you can use it for free. Cats dataset from Kaggle, which is licensed under the Creative Commons License.
WINDOWS VS MAC FOR BIG DATA INSTALL
WINDOWS VS MAC FOR BIG DATA PRO
On the test we have a base model MacBook M1 Pro from 2020 and a custom PC powered by AMD Ryzen 5 and Nvidia RTX graphics card. In today's article, we'll only compare data science use cases and ignore other laptop vs. We even have the new M1 Pro and M1 Max chips tailored for professional users.īut can it actually compare with a custom PC with a dedicated GPU? That's what we'll answer today. It hasn't supported many tools data scientists need daily on launch, but a lot has changed since then. identically-priced PC configuration - Which is faster for TensorFlow?Īpple's M1 chip was an amazing technological breakthrough back in 2020.