Conclusion: I Actually Used the Cannon Lake Laptop as a Daily System

When we ordered the Lenovo laptop, not only was I destined to test it to see how well Intel’s 10nm platform performs, but I also wanted to see what the device was like to actually use. Once I’d removed the terrible drives it came with and put in a 1TB Crucial MX200 SSD, I started to put it to good use.

The problem with this story is that because this is a really bad configuration of laptop, it gives the hardware very little chance to show its best side. We covered this in our overview of Carrizo several years ago, after OEM partners kept putting chips with reasonable performance into the worst penny pinching designs. The same thing goes with this laptop – it is an education focused 15.6-inch laptop whose screen is only 1366x768, and the TN panel’s best angle to view is as it is tilted away from you. It is bulky and heavy but only has a 34 Wh battery, whereas the ideal laptop is thin and light and lasts all day on a single charge. From the outset, using this device was destined to be a struggle.

I first used the device when I attended Intel’s Data Summit in mid-August. On the plane I didn’t have any space issues because I had reserved a bulkhead economy seat, however after only 4 hours or so of light word processing on a low screen brightness, I was already out of battery. Thankfully I could work on other things on my second laptop (always take two laptops to events, maybe not day-to-day at a show, but always fly with two). At the event, I planned to live blog the day of presentations. This means being connected online, uploading text, and being of a sufficient brightness to see the screen. After 90 minutes, I had 24% battery left. This device has terrible battery life, a terrible screen, is bulky, and weighs a lot.

I will say this though, it does have several positives. Perhaps this is because the RX540 is in the system, but the Windows UI was very responsive. Now of course this is a subjective measure, however I have used laptops with Core i7 and MX150 hardware that were slower to respond than this. It did get bogged down when I went into my full workflow with many programs, many tabs, and many messaging software tools, but I find that any system with only 8GB of memory will hit my workflow limits very quickly. On the natural responsiveness front, I can’t fault it.

Ultimately I haven’t continued to use the laptop much more – the screen angle required to get a good image, the battery life, and the weight are all critical issues that individually would cause me to ditch the unit. At this price, there are plenty of Celeron or Atom notebooks that would fit the bill and feel nicer to use. I couldn’t use this Ideapad unit with any confidence that I would make it through an event, either a live blog or a note taking session, without it dying. As a journalist, we can never guarantee there will be a power outlet (or an available power outlet) at the events we go to, so I always had to carry a second laptop in my bag regardless. The issue is that the second laptop I use often lasts all day at an event on its own.

Taking Stock of Intel’s 10nm Cannon Lake Design

When we lived in a world with Intel’s Tick Tock, Cannon Lake would be a natural tick – a known microarchitecture with minor tweaks but on a new process node. The microarchitecture is a tried and tested design, as we now have had four generations of it from Skylake to Coffee Lake Refresh, however the chip just isn’t suitable for prime time.

Looking at how Intel has presented its improvements on 10nm, with features like using Cobalt, Dummy Gates, Contact Over Active Gates, and new power design rules, if we assume that every advancement works perfectly then 10nm should have been a hit out of the gate. The problem is, semiconductor design is like having 300 different dials to play with, and tuning one of those dials causes three to ten others to get worse. This is the problem Intel has had with 10nm, and it is clear that some potential features work and others do not – but the company is not saying which ones for competitive and obvious reasons.

At Intel’s Architecture Day in December, the Chief Engineering Officer Dr. Murthy Renduchintala was asked if the 10nm design had changed. His response was contradictory and cryptic: ‘It is changing, but it hasn’t changed’. At that event the company was firmly in the driving seat of committing to 10nm by the end of 2019, in a quad core Ice Lake mobile processor, in a new 3D packaging design called Lakefield, in an Ice Lake server CPU for 2020, and in a 5G/AI focused processor called Snow Ridge. Whatever 10nm variant of the process they’re planning to use, we will have to wait and see.

I’ll go back to this slide that Intel presented back at the Technology and Manufacturing Day:

In this slide it shows on the right that 10nm (and its variants) have lower power through lower dynamic capacitance. However, on the left, Intel shows both 10nm (Cannon Lake) and 10nm+ (Ice Lake) as having lower transistor performance than 14nm++, the current generation of Coffee Lake processors.

This means we might not see a truly high-performance processor on 10nm until the third generation of the process is put into place. Right now, based on our numbers on Cannon Lake, it’s clear that the first generation of 10nm was not ready for prime time.

Cannon Lake: The Blip That Almost Didn’t Happen

We managed to snap up a Cannon Lake chip by calling in a few favors to buy it from a Chinese reseller who I’m pretty sure should not have been selling them to the public. They were educational laptops that may not have sold well, and the reseller just needed to get rid of them. Given Intel’s reluctance to talk about anything 10nm at CES 2018, and we find that the chips ‘shipped for revenue’ end up in a backwater design like this, then it would look like that Intel was trying to hide them. That was our thought for a good while, until Intel announced the Cannon Lake NUC. Even then, from launch announcement to being at general retail took four months, and by that time most people had lost interest.

At some point Intel had to make good on its promises to investors by shipping something 10nm to somewhere. Exactly how many chips were sold (and to whom) is not discussed by Intel, but I have heard some numbers flying around. Based on our performance numbers, it’s obvious why Intel didn’t want to promote it. On the other hand, at least being told about it beyond a simple sentence would have been nice.

After testing the chip, the only way I’d recommend one of these things is for the AVX512 performance. It blows everything else in that market out of the water, however AVX512 enabled programs are few and far between. Plus, given what Intel has said about the Sunny Cove core, that part will have it instead. If you really need AVX512 in a small form factor, Intel will sell you a NUC.

Cannon Lake, and the system we have with it inside, is ultimately now nothing more than a curio on the timeline of processor development. Which is where it belongs.

Stock CPU Performance: Legacy Tests
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  • dgingeri - Saturday, January 26, 2019 - link

    With Intel recently releasing the "F" SKUs for processors that don't have integrated graphics, I would think this processor would be a Core i3-8121FU.
  • KOneJ - Sunday, January 27, 2019 - link

    ROFL, mate. Though a UF line-up honestly wouldn't surprise me with where MCMs, TSVs, yields, iGPUs, and core counts are seemingly headed.
  • Piotrek54321 - Saturday, January 26, 2019 - link

    I would love an article on how quantum mechanical effects have to be taken into account at such small nodes.
  • KOneJ - Sunday, January 27, 2019 - link

    I would love to see the mathematics of quantum mechanics cleaned up to be more elegant and less Newtonian in nature.
  • Rudde - Saturday, January 26, 2019 - link

    I looked into the transistor density of different nodes and particularily the claim that Intel 10nm will feature "100 million transistors per square millimeter."
    Intel seems to historically lack in transistor density. 22nm has ~8 million per mm², while competing 28nm from GlobalFoundries have ~13 and TSMC has ~12.
    Moving unto 14nm and all foundries double their transistor density. Intel goes to 15M/mm², GF to 24 (on a node bought from Samsung) and TSMC's 16nm also to 24M/mm².
    TSMC's 7nm node has a density of ~40M/mm².
    Now Intel has made two statements (both found in the first page of the article):
    1. 100 million transistors per mm² or a 5.7x improvement.
    2. A 2.7x improvement in density over 14nm, which gives 55M/mm². 55M/mm² would be consistent with Intel's claim of beating TSMC's 7nm.
    Next I'm assuming my calculations about Intel's transistor density are wrong, and that both of Intels claims are true. In that case Intel's current 14nm would be 27M/mm². Now of course we can't assume my calculations about GF and TSMC are correct either and we are left without any conclusion.
  • Rudde - Saturday, January 26, 2019 - link

    I jumped the gun too early and didn't proceed to page two that explains a lot of the same things as I tries to explain, but uses actual node data and not chip sizes.
  • smalM - Saturday, January 26, 2019 - link

    Page two doesn't use actual node data, it uses Intel propaganda ;-)
  • KOneJ - Sunday, January 27, 2019 - link

    Yep, they're not the only ones optimizing libraries. They're trying to muddle transistors with design compiling. While this is fair, it's not taking into account that others are working both halves of the problem as well. Clearly meant to be misleading.
  • sidm2k11 - Saturday, January 26, 2019 - link

    How is the fan noise on the PN60? Mine makes a pretty loud whine all the time and temperatures regularly cross 80 on full load...My 4010u Brix PC is whisper quiet by comparison.
  • alacard - Saturday, January 26, 2019 - link

    Well that was a wonderfully intricate review. Thank you.

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