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IQrypt is designed to be used at client side, more specifically directly on client mobile/desktop devices, so every encryption/decryption operation is executed by the device itself. Performance is a critical aspect of any application and we are asked often: "what about performance?". We designed IQrypt with performance in mind and we did a lot of testing regarding performance at the very early stage of the product to be sure the product is practical and it can be embedded into any application even it runs on devices with modest specs. Today we are showing you some performance tests results made on a Rasberry Pi 2 Model B which has 900MHz quad-core ARM CPU and 1 GB of RAM and which looks like this: Pi2ModB1GB_-comp As operating system, we used latest Windows 10 IoT Core (version 10.0.14295.1000) and latest IQrypt SDK for .NET that can be found on Github. We will encrypt/decrypt 1000 and respectively 10000 objects and we will measure the time elapsed to execute those operations. IQrypt SDK for .NET, before encryption, it serialize objects to JSON and after decryption it deserialize back to objects so we will measure the time elapsed first for serialization and then for serialization + encryption to be able to extract the time elapsed for encryption only (similar for decryption and deserialization). We will follow our best-practice model, so let's define an entity type first: public class Patient

Iqrypt Questions

The Iqrypt annual revenue was $3 million in 2026.

Iqrypt is based in Iasi, Iasi.

The NAICS codes for Iqrypt are [54151, 5415, 541, 541511, 54].

The SIC codes for Iqrypt are [73, 737].

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