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WISE MEMORY OPTIMIZER CHIP HOW TO

Use only a single pair of train_datagen and valid_datagen at a time: I’ve split this test into two parts - a model with and without data augmentation.

Let’s go over the code used in the tests.

TensorFlow with transfer learning - Uses VGG-16 pretrained network to classify images.

TensorFlow with a custom model architecture - Uses two convolutional blocks described in my CNN article.

TensorFlow for Image Classification - Top 3 Prerequisites for Deep Learning Projects

WISE MEMORY OPTIMIZER CHIP 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.

Install TensorFLow with GPU support on WindowsĪlso, you’ll need an image dataset.

Here’s an entire article dedicated to installing TensorFlow for both Apple M1 and Windows: You’ll need TensorFlow installed if you’re following along. We’ll have to see how these results translate to TensorFlow performance.

Overall, M1 is comparable to AMD Ryzen 5 5600X in the CPU department, but falls short on GPU benchmarks. Heck, the GPU alone is bigger than the MacBook pro. RTX3060Ti scored around 6.3X higher than the Apple M1 chip on the OpenCL benchmark. Image 4 - Geekbench OpenCL performance (image by author) A thin and light laptop doesn’t stand a chance: Custom PC has a dedicated RTX3060Ti GPU with 8 GB of memory. We can conclude that both should perform about the same. Image 3 - Geekbench multi-core performance (image by author) M1 has 8 cores (4 performance and 4 efficiency), while Ryzen has 6: Let’s compare the multi-core performance next.

Keep in mind that we’re comparing a mobile chip built into an ultra-thin laptop with a desktop CPU. Image 2 - Geekbench single-core performance (image by author)Īpple M1 is around 8% faster on a synthetical single-core test, which is an impressive result. Let’s first see how Apple M1 compares to AMD Ryzen 5 5600X in a single-core department: Synthetical benchmarks don’t necessarily portray real-world usage, but they’re a good place to start.