AMD x86 Zen Benchmark Test Compares It To Intel Xeon E5 Chip, Similarities Found

An aggregate benchmark for the forthcoming AMD x86 Zen surfaced, and its results reveal that the Zen processor performs similar to the Intel Xeon E5 Chip which is a 10-Core processor. However, it is unknown which variant of the Zen processor the test represents.

A post on Reddit disclosed the performance details of the upcoming Zen processor. The results of the test can be found on Blenchmark. Reportedly, the outcome of the test would be impressive if it represents the eight-core variant, but mediocre if it stands on for the 16-core variant or higher, according to a report by Mobipicker.

In the same report, it is stated that AMD is planning on releasing variants scaling from the Summit Ridge's eight cores up to the Naples' 32 cores. Although the benchmark results lack detail, there is little doubt over its authenticity.

The processor is listed as "AMD Engineering Sample" on the Benchmark website, and is noticeably more powerful than the Summit Ridge platform's eight-core i7-6900K. According to the results, the sample processor gets a render time of 69 seconds or a minute and nine seconds. The 10-core Intel Xeon E5 2680 v2 processor performed exactly the same on the test.

According to Wccftech, consumers can expect a relatively higher price over the usual value philosophy of AMD. In the past, AMD chips have always been cheaper compared to its counterparts from Intel, but it is reportedly most likely that AMD will charge a premium for the upcoming processors.

Speculations suggest that the results represent a server class chip like the Naples as the benchmark was done in Windows 2008 Server R2 64-bit, instead of the latest Windows 10 OS. Nonetheless, these are only rumors and not confirmed by AMD.

Which variant do you think does the test results represent? Let us know your expectations for the forthcoming AMD Zen processors!

© 2024 ParentHerald.com All rights reserved. Do not reproduce without permission.

Join the Discussion
Real Time Analytics