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Apple Core ML VS ASocks

Compare Apple Core ML VS ASocks and see what are their differences

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app

ASocks logo ASocks

Clear, Fast & Unlimited. Residential & Mobile Proxies For Best Price.
Visit Website
  • Apple Core ML Landing page
    Landing page //
    2023-06-13
  • ASocks Landing page
    Landing page //
    2022-10-17

ASocks is a provider of qualitative and fast proxy servers with their own infrastructure. We offer you real residential proxies at the lowest price: 3$ per 1 GB.

ASocks

Website
asocks.com
$ Details
paid Free Trial $3.0 (3$ per 1 Gb)
Platforms
Amazon eBay Zonnolab Multilogin RBtools Steam Twitter Telegram Yandex Facebook Facebook Messenger Instagram TikTok LinkedIn Viber YouTube Twitch

Apple Core ML features and specs

  • Integration with Apple Ecosystem
    Core ML is tightly integrated with Apple's hardware and software environments, providing seamless performance and ensuring that models work well across iOS, macOS, watchOS, and tvOS devices.
  • Performance Optimization
    Core ML is optimized for on-device performance, leveraging the capabilities of Apple’s processors to deliver fast and efficient machine learning tasks without significant battery drain or latency.
  • Privacy
    With on-device processing, Core ML allows for data privacy as it minimizes the need for sending user data to external servers, which aligns with Apple's strong privacy principles.
  • Ease of Use
    Developers can easily integrate machine learning models into their applications using Core ML, thanks to its extensive support for various model types and the availability of conversion tools from popular ML frameworks.
  • Continuous Updates
    Apple regularly updates Core ML to include the latest advancements and optimizations in machine learning, ensuring developers have access to cutting-edge tools.

Possible disadvantages of Apple Core ML

  • Platform Limitation
    Core ML is designed specifically for Apple devices, which limits its use to only Apple's ecosystem and may not be suitable for applications targeting multiple platforms.
  • Model Size Restrictions
    There are limitations on the size of models that can be deployed on-device, which can be a hindrance for applications requiring large and complex models.
  • Learning Curve
    For developers who are new to iOS or macOS development, there might be a learning curve to effectively integrate and utilize Core ML features within their applications.
  • Limited Framework Support
    While Core ML supports popular machine learning frameworks, not all frameworks and their full functionalities are supported, which can be restrictive for developers using niche or emerging frameworks.
  • Hardware Dependency
    The performance and capabilities of machine learning models in Core ML heavily depend on the specific hardware of the Apple device being used, which can lead to inconsistent performance across different devices.

ASocks features and specs

  • HTTP
  • Socks5
  • ASN targeting
  • Pay as you go
  • Automatic activation
  • 24/7 technical support
  • IPv4

Apple Core ML videos

IBM Watson & Apple Core ML Collaboration - What it means for app development

ASocks videos

Asocks Proxy Site Review||The Most Stable And The Most Reliable 4G Mobile & Residential Proxies

More videos:

  • Review - IPFighter| Review Asocks Proxy
  • Review - Best Residential Proxies Website 2024 | ASocks 7000,000+ IPs from Europe Loading High CPC Proxy

Category Popularity

0-100% (relative to Apple Core ML and ASocks)
Developer Tools
100 100%
0% 0
Proxy
0 0%
100% 100
AI
100 100%
0% 0
Residential Proxies
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apple Core ML and ASocks

Apple Core ML Reviews

We have no reviews of Apple Core ML yet.
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ASocks Reviews

  1. I am very happy!

    I have worked with many services that provide proxies, but asocks stands out among them. Responsive support managers, user-friendly interface, nice prices. I am very happy!

    👍 Pros:    Great customer support|Good price|Quality
  2. Best Proxy Service

    Good service with loads of countries to choose from, very inexpensive compared to other providers, I like that you pay as you go, no need for expensive subscriptions. If you need a proxy from time to time Asocks is the way to go. No captcha and fast servers. Highly recommend it.

    👍 Pros:    Web traffic
    👎 Cons:    Data protection and security
  3. Amazing!

    I have used other services before but that service is just amazing. Great support + amazing options on the website how to create individual proxy. I just can recommend this service to anyone.

Social recommendations and mentions

Based on our record, Apple Core ML seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apple Core ML mentions (7)

  • Ask HN: Where is Apple? They seem to be left out of the AI race?
    On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / about 1 year ago
  • The Magnitude of the AI Bubble
    Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / over 1 year ago
  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: almost 2 years ago
  • Apple to occupy 90% of TSMC 3nm capacity in 2023
    > It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / almost 2 years ago
  • The iPhone 13 is a pitch-perfect iPhone 12S
    This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: over 3 years ago
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ASocks mentions (0)

We have not tracked any mentions of ASocks yet. Tracking of ASocks recommendations started around Oct 2022.

What are some alternatives?

When comparing Apple Core ML and ASocks, you can also consider the following products

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.

TensorFlow Lite - Low-latency inference of on-device ML models

Smartproxy - Smartproxy is perhaps the most user-friendly way to access local data anywhere. It has global coverage with 195 locations, offers more than 55M residential proxies worldwide and a great deal of scraping solutions.

ML5.js - Friendly machine learning for the web

Oxylabs - A web intelligence collection platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data.