Section by Andrei Frumusanu

SPEC: Renoir vs Picasso vs Ice Lake

Kicking off our look at performance, let's start with SPEC and analyzing how AMD managed to increase the performance against Picasso with its first-generation Zen cores. The newer generation Renoir with Zen2 cores should in theory see more significant performance upgrades thanks to the improved IPC of the new microarchitecture – but today’s 4700U also is just a mid-tier part with a lower 15W TDP as well as “just” featuring DDR4-3200 – not the fullest memory configuration possible as the SoC also support LPDDR4X up to 4266 MHz.

For our SPEC harness, We’re testing under WSL1 in Windows due to simplicity of compilation and compatibility, and are compiling the suite under LLVM compilers. The choice of LLVM is related to being able to have similar code generation across architectures and platforms. Our compiler versions and settings are as follows:

clang version 8.0.0-svn350067-1~exp1+0~20181226174230.701~1.gbp6019f2 (trunk)
clang version 7.0.1 (ssh://git@github.com/flang-compiler/flang-driver.git
  24bd54da5c41af04838bbe7b68f830840d47fc03)


-Ofast -fomit-frame-pointer
-march=x86-64
-mtune=core-avx2
-mfma -mavx -mavx2

Our compiler flags are straightforward, with basic –Ofast and relevant ISA switches to allow for AVX2 instructions.

Single-Threaded Performance

SPECint2017 Rate-1 Estimated Scores

In SPECint2017, the new Zen2 based Ryzen 7 4700U is performing well, although the score increase compared to the last-generation 3780U aren’t as big for some workloads. As a reminder, the 3780U clocks up to 4.0GHz in terms of boost clocks while the 4700U clocks up to 4.1GHz. SMT being disabled on the 4700U should also give it a slight advantage in IPC over other Zen2 platforms given that it doesn’t have to statically share some core resources anymore in this mode.

Renoir showcases the biggest increases in workloads such as 548.exchange2_r and 525.x264_r which are back-end execution bound workloads, and the microarchitectural improvements here help a lot.

On the other hand, the weakest improvements are seen in workloads such as 520.omnetpp_r – this test is mostly memory latency bound and unfortunately the new chip here barely just matches its predecessor. The same can be said about 505.mcf_r where the improvements are quite meager.

The generational improvements here aren’t enough to catch up to Intel’s Sunny Cove cores in the Ice Lake i7-1065G7. Although that core might be running at higher single-core TDPs and power consumption, it still makes for a big gap in some of the more instruction pressure and cache pressure high workloads such as 500.perlbench_r and 502.gcc_r where the Intel chip still has a considerable lead in.

SPECfp2017 Rate-1 Estimated Scores

In SPECfp2017, these are floating point heavier test workloads. The generational increases here are also relatively smaller, with even an odd regression in 527.cam4_r. The Intel chip still has a lead across the board, and with particular large gaps in the more memory heavy workloads such as 519.lbm_r and 549.fotonik3d_r.

SPEC2017 Rate-1 Estimated Total

Overall, in terms of single-threaded performance, the Zen2 Renoir chip might seem a bit underwhelming, but when looking at the IPC improvement it’s actually not that far off from what’s expected of the new microarchitecture. In both SPECint and SPECfp we see a 12% performance per clock improvement, which is generally in line with Zen2’s generational improvements. As a reminder, the mobile chips here only feature a quarter the CCX L3 cache compared to its desktop counterparts, and that will result in smaller IPC gains, especially in memory heavy workloads.

AMD’s higher-end SKUs such as the 4900HS score slightly better due to the higher boost frequencies, but nothing significant enough to change the single-threaded competitive landscape; Intel still has a substantial advantage here thanks to a much stronger memory subsystem.

Multi-Threaded Performance

The multi-threaded performance comparison today is actually quite interesting just for the fact that the 4700U doesn’t feature SMT. Whilst it lacks multi-threading on the cores, it makes up for it by simply having 8 physical cores on the chip, double that of Picasso-based SoCs as well as Intel’s latest Ice Lake CPUs. Again, performance here will be strongly impacted by the TDP as well as cooling of the systems. Both AMD parts are 15W TDP designs, while the Intel chip sustains 25W.

SPECint2017 Rate-N (8 Instances) Estimated Scores

The resulting multi-threaded performance is quite varied across the benchmarks. What immediately stands out is that in purer execution heavy workloads the new Renoir chip pretty much demolishes its predecessor as well as the competition. This makes sense given that Zen2 has good execution resources and Renoir has double the physical core count to scale up performance.

Renoir’s performance here is very good across most workloads, but there’s a few workloads where Intel’s Ice Lake CPU comes closes or beats it even (502.gcc_r) – again these are the workloads that are most memory intensive.

SPECfp2017 Rate-N (8 Instances) Estimated Scores

SPECfp across 8 instances again shows similar results. Renoir fares extremely well across execution bound workloads, but this time around loses a lot more often against the Ice Lake chip in memory-bound workloads even though it has a 2x core count advantage.

The chip’s performance in memory-bandwidth heavy 519.lbm_r is particularly odd as it manages to fare worse than single-core results of a desktop Zen2 based system, and again far behind the Ice Lake counterparts.

SPEC2017 Rate-N (8 Instances) Estimated Total

Overall, AMD’s 4700U’s multi-threaded performance is fantastic in areas where it should matter most in a laptop-based system. The 2x core count advantage more than makes up for the lack of SMT, and workloads such as rendering and other creative tasks are the platform’s strong-points. In more memory-heavy workloads, performance doesn’t scale all that well as clearly the new chip still has a big weakness in its memory subsystem – scientific workloads or code compiling won’t scale nearly as well.

We have to wonder how Renoir will fare on an LPDDR4X configured system – unfortunately we haven’t been able to test such a platform yet. Overall, the 4700U seems like an excellent chip given its 15W TDP, but let’s see how it performs in our system benchmark suite…

Design System Performance
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  • Roland00Address - Monday, May 11, 2020 - link

    MSRP prices are never rational, especially on commodities who often sell much less than their MSRP. While "branded / halo" items rarely deviate from their MSRPs. Reply
  • yeeeeman - Tuesday, May 5, 2020 - link

    "and allows them to compete not just on performance, but battery life as well" - how it allows them to compete when we clearly see in the normalized test that they are 25% worse compared to Intel? Reply
  • yeeeeman - Tuesday, May 5, 2020 - link

    Nevertheless, the implementation is disappointing since it cannot sustain a stable frequency, so gaming will be hard on this...I guess that 650$ price is not without of reason... Reply
  • Steve1992 - Tuesday, May 5, 2020 - link

    The frequencies are fine: https://youtu.be/Xyns9jjEt5M Reply
  • Steve1992 - Tuesday, May 5, 2020 - link

    Better example: https://youtu.be/pGgY-Aw2dZo Reply
  • neblogai - Tuesday, May 5, 2020 - link

    They are OK, but could be better. iGPU can keep the frequences in CPU-light games, but drops them in CPU heavy games like Forza Horizon, Dota2, and especially Battlefield V multiplayer. Also, in case of GTA5 benchmark you posted- note that the video starts with APU at 25W, which is while APU is still boosting (several minutes). Then it goes to sustained power limit of 18W, and will stay there, with lower power and clocks. Reply
  • Flunk - Tuesday, May 5, 2020 - link

    Low priced thin and lights with integrated graphics are all pretty much useless for gaming. It's not a reasonable or use case... at least according to notebook designers. Reply
  • DanNeely - Tuesday, May 5, 2020 - link

    Gaming on a laptop with an IGP will never be a great experience because you either have to turn the quality settings down a lot or play older/less graphically complex titles; but that doesn't mean people don't do it. There's no easy way to get a desktop/mobile split, but ~10% of systems in the Steam HW Survey use some Intel GPU; I suspect a majority of them are laptops because it's where you're stuck with the IGP and can't slap in even a cheap discrete GPU for faster speeds.

    The GPU here isn't a 200W discrete card, or even a 40W discrete card; but it is a step above Intel's IGPs. That makes it an attractive option for someone who wants to be able to game on a laptop without spending a lot more and sacrificing profitability.

    I do it some of the time when away from home on an old XPS13 with a i7-6xxx. It's a limited experience, especially after this many years, but is still better than mobile gaming on my phone.
    Reply
  • philehidiot - Tuesday, May 5, 2020 - link

    It has always been the case that if you want a decent gaming laptop, you're paying big bucks. I think the pricing here is pretty damned awesome. I'd never buy a laptop like this for gaming. It's that simple. The Vega GPU is kinda nice to have but integrated graphics are simply not meant for decent gaming. It's that simple. If you're looking at this and thinking "ooh gaming machine", you need to recalibrate your expectations. Reply
  • neblogai - Tuesday, May 5, 2020 - link

    Well, gaming does not have to be the latest AAA specifically. Majority of best games will run on this integrated Vega very well. Most E-sports are also playble. And even a lot of best latest AAA will run well enough to experience and enjoy the game (if the game has to offer more than just graphics). Reply

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