ASRock DeskMeet B660 Review: An Affordable NUC Extreme?

System Performance: Multi-Tasking

One of the key drivers of advancments in computing systems is multi-tasking. On mobile devices, this is quite lightweight - cases such as background email checks while the user is playing a mobile game are quite common. Towards optimizing user experience in those types of scenarios, mobile SoC manufacturers started integrating heterogenous CPU cores - some with high performance for demanding workloads, while others were frugal in terms of both power consumption / die area and performance. This trend is now slowly making its way into the desktop PC space.

Multi-tasking in typical PC usage is much more demanding compared to phones and tablets. Desktop OSes allow users to launch and utilize a large number of demanding programs simultaneously. Responsiveness is dictated largely by the OS scheduler allowing different tasks to move to the background. Intel's Alder Lake processors work closely with the Windows 11 thread scheduler to optimize performance in these cases. Keeping these aspects in mind, the evaluation of multi-tasking performance is an interesting subject to tackle.

We have augmented our systems benchmarking suite to quantitatively analyze the multi-tasking performance of various platforms. Our previous attempt involved the triggering of a VLC transcoding task to transform 1716 3840x1714 frames encoded as a 24fps AVC video (Blender Project's 'Tears of Steel' 4K version) into a 1080p HEVC version in a loop. VLC internally uses the x265 encoder, and the settings are configured to allow the CPU usage to be saturated across all cores. Unfortunately, with some of the large core-count systems, we found VLC falling back to single-core usage. We have since replaced it with a ffmpeg transcoding task that appears to uniformly load the cores even in the Raptor Canyon NUC. The transcoding rate is monitored continuously. One complete transcoding pass is allowed to complete before starting the first multi-tasking workload - the PCMark 10 Extended bench suite. A comparative view of the PCMark 10 scores for various scenarios is presented in the graphs below. Also available for concurrent viewing are scores in the normal case where the benchmark was processed without any concurrent load, and a graph presenting the loss in performance.

The performance loss in the PCMark workloads range between 25% and 33%, with the DeskMeet B660 managing to score the lowest overall performance loss numbers.

Following the completion of the PCMark 10 benchmark, a short delay is introduced prior to the processing of Principled Technologies WebXPRT4 on MS Edge. Similar to the PCMark 10 results presentation, the graph below show the scores recorded with the transcoding load active. Available for comparison are the dedicated CPU power scores and a measure of the performance loss.

Here, the performance loss for the DeskMeet B660 is heavier, with the extra cores in the Raptor Canyon enabling it to balance both the transcoding and web browsing tasks in a more effective manner.

The final workload tested as part of the multitasking evaluation routine is CINEBENCH R23.

The DeskMeet B660 manage to get back to the top spot in terms of minimizing performance loss with the concurrent load being active.

After the completion of all the workloads, we let the transcoding routine run to completion. The monitored transcoding rate throughout the above evaluation routine (in terms of frames per second) is graphed below.

A quantitative view of the transcoding performance in the different stages is presented in the table below.

Across all phases, the loss in transcoding performance is minimal. During periods of heavy multi-threaded loading like PCMark 10 and Cinebench R23, the transcoding does experience some hiccups, but always recovers within a short while.