Categories: Technology

Try some engineering samples of Intel Comet Lake desktop CPUs, here’s how they go

Based on previous rumors, the processors 10th Generation Intel Core for desktops, codenamed Comet Lake-S, are expected to be announced in late April, with a view to progressive availability from May. Much has been said about the technical characteristics, perhaps everything, so the only aspects to be resolved are the performance and prices.

For the price lists we await official information from Intel, while as regards the performance we are waiting to try the new CPUs. Meanwhile, a Chinese website has released some tests on engineering sample processors of the models Core i7-10700 (8 cores / 16 threads), Core i5-10600K, Core i5-10500 and Core i5-10400 (6 cores / 12-threads).

The four processors were tested on a Dell OEM motherboard based on the B460 chipset, along with 16 GB of dual-channel DDR4-4133 memory and a Radeon RX 5700 XT. The processors have been compared with different ninth generation cores and Ryzen 3000. Before talking about the results, it is worth pointing out again that it is engineering sample, therefore not of end products, and the same is true for the rest of the hardware, without forgetting the software part (the motherboard firmware, etc.). Also keep in mind that the motherboard is anything but optimized to ensure maximum performance.

In tests dedicated purely to the CPU (we report only a few), which are the ones that interest us most, the Core i7-10700 looks like Ryzen 7 3700X. The AMD chip is ahead in Cinebench R15, but ends up behind in Cinebench R20, for example. The Ryzen 5 3600X seems to have a good advantage over the Core i5-10600K and the Core i5-10500 in both Cinebench, CPU-Z and 3DMark tests. The Core i5-10400 is detached by a maximum of 6% compared to the Core i5-10600K.

We stress again that the data must be taken “come grain salis“because as we wrote initially it is an engineering sample, with all the annexes and connected, however, tested on a motherboard totally free of optimizations.

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