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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  • Oxford Guy - Thursday, May 7, 2020 - link

    Yes, if you limit the AMD chip to 8 watts:

    "The laptop really struggled with its thermals, dropping the framerate into single digits often. The device attempted to run at around 18 Watts of power draw, slightly over the 15 Watt TDP, but in fact only averaged around 8 Watts during this run."
    Reply
  • supdawgwtfd - Tuesday, May 5, 2020 - link

    "channels if your router is has the correct capabilities."

    Wanted! Proof reader/editor.
    Reply
  • Samus - Tuesday, May 5, 2020 - link

    Wow. Reply
  • watzupken - Tuesday, May 5, 2020 - link

    Not sure if anyone pointed out as a feedback, but the legend and the numbers on the axis on the thermal related graphs are too small to see.

    Anyway, I actually don't find it surprising the performance is once again held back by poor cooling. Considering this is a 1.2KG 14 inch laptop, it should not come across as surprising. We need to consider the fact that this is a proper 8 core processor with a fast GPU. While light is good, but I feel we have gone passed a reasonable/ sensible pushed for slimmer and ligher laptops. Slimmer/ lighter generally means compromising on battery, and/or, cooling.
    Reply
  • Brett Howse - Wednesday, May 6, 2020 - link

    You can click on the image to get a full-sized version of the thermal graphs Reply
  • watzupken - Wednesday, May 6, 2020 - link

    Yeah, I figured out later, but unable to amend my post. Perhaps you folks should consider putting in an edit button here. Reply
  • neblogai - Wednesday, May 6, 2020 - link

    There may be an issue with the sample Anandtech got. Cooling is generally praised in other reviews of the same laptop, it does not go over 70C at sustained loads (18W). Also, here is FarCry5 running perfectly fine of Swift3 (4500U, but same at the same 18W): https://youtu.be/TvVaJ5jlgsQ
    However, if you look at the graphs Anandtech posted- especially the first graph is telling: at 18W, temps go up slowly from ~65C to ~70C, but then suddenly jump to ~95C, with a hard throttle as a result. Something is failing in their unit, a properly functioning cooling would not be behaving like this.
    Reply
  • SkillTim - Wednesday, May 6, 2020 - link

    Can someone explain:
    According to Wikipedia, the 4700U iGPU gives 1433.6 GFLOPS raw performance and the 3780U iGPU gives 1971.2 GFLOPS. Why does this review seem to give the 4700U the win every time in real world performance? Is the review selective? Is Wikipedia wrong? Is the CPU/GPU I/O better in Zen 2?
    Reply
  • neblogai - Wednesday, May 6, 2020 - link

    1. TFPLOPs is just one paramether- Renoir has higher bandwidth, 2x IF width with iGPU, higher Pixel rate, etc.
    2. Those Picasso TFLOPs in Wiki, and in AMD slides, are theoretical/marketing speeds, not real life ones. Picasso can not run games at that clock/those TFLOPs, as there is not enough power for it. While Renoir/ is mostly able to keep it's boost/TFLOPs (at least in CPU/light games).
    Reply
  • Peskarik - Wednesday, May 6, 2020 - link

    Good monitor and bigger battery for 100g more weight and 300 more cost would be welcomed. Reply

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