AMD Zen 3 Ryzen Deep Dive Review: 5950X, 5900X, 5800X and 5600X Tested
by Dr. Ian Cutress on November 5, 2020 9:01 AM ESTCPU Tests: Simulation
Simulation and Science have a lot of overlap in the benchmarking world, however for this distinction we’re separating into two segments mostly based on the utility of the resulting data. The benchmarks that fall under Science have a distinct use for the data they output – in our Simulation section, these act more like synthetics but at some level are still trying to simulate a given environment.
DigiCortex v1.35: link
DigiCortex is a pet project for the visualization of neuron and synapse activity in the brain. The software comes with a variety of benchmark modes, and we take the small benchmark which runs a 32k neuron/1.8B synapse simulation, similar to a small slug.
The results on the output are given as a fraction of whether the system can simulate in real-time, so anything above a value of one is suitable for real-time work. The benchmark offers a 'no firing synapse' mode, which in essence detects DRAM and bus speed, however we take the firing mode which adds CPU work with every firing.
The software originally shipped with a benchmark that recorded the first few cycles and output a result. So while fast multi-threaded processors this made the benchmark last less than a few seconds, slow dual-core processors could be running for almost an hour. There is also the issue of DigiCortex starting with a base neuron/synapse map in ‘off mode’, giving a high result in the first few cycles as none of the nodes are currently active. We found that the performance settles down into a steady state after a while (when the model is actively in use), so we asked the author to allow for a ‘warm-up’ phase and for the benchmark to be the average over a second sample time.
For our test, we give the benchmark 20000 cycles to warm up and then take the data over the next 10000 cycles seconds for the test – on a modern processor this takes 30 seconds and 150 seconds respectively. This is then repeated a minimum of 10 times, with the first three results rejected. Results are shown as a multiple of real-time calculation.
Dwarf Fortress 0.44.12: Link
Another long standing request for our benchmark suite has been Dwarf Fortress, a popular management/roguelike indie video game, first launched in 2006 and still being regularly updated today, aiming for a Steam launch sometime in the future.
Emulating the ASCII interfaces of old, this title is a rather complex beast, which can generate environments subject to millennia of rule, famous faces, peasants, and key historical figures and events. The further you get into the game, depending on the size of the world, the slower it becomes as it has to simulate more famous people, more world events, and the natural way that humanoid creatures take over an environment. Like some kind of virus.
For our test we’re using DFMark. DFMark is a benchmark built by vorsgren on the Bay12Forums that gives two different modes built on DFHack: world generation and embark. These tests can be configured, but range anywhere from 3 minutes to several hours. After analyzing the test, we ended up going for three different world generation sizes:
- Small, a 65x65 world with 250 years, 10 civilizations and 4 megabeasts
- Medium, a 127x127 world with 550 years, 10 civilizations and 4 megabeasts
- Large, a 257x257 world with 550 years, 40 civilizations and 10 megabeasts
DFMark outputs the time to run any given test, so this is what we use for the output. We loop the small test for as many times possible in 10 minutes, the medium test for as many times in 30 minutes, and the large test for as many times in an hour.
Dolphin v5.0 Emulation: Link
Many emulators are often bound by single thread CPU performance, and general reports tended to suggest that Haswell provided a significant boost to emulator performance. This benchmark runs a Wii program that ray traces a complex 3D scene inside the Dolphin Wii emulator. Performance on this benchmark is a good proxy of the speed of Dolphin CPU emulation, which is an intensive single core task using most aspects of a CPU. Results are given in seconds, where the Wii itself scores 1051 seconds.
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Luminar - Thursday, November 5, 2020 - link
Cache Rules Everything Around MeSIDtech - Thursday, November 5, 2020 - link
Hi Andrei,Excellent work. Do you know how this performance shapes up against the Cortex A77 ?
t.s - Friday, November 6, 2020 - link
Seconded. Want to know how the likes of ryzen 4 4350G or 5600 versus Cortex A77 or A78.Kangal - Saturday, November 7, 2020 - link
It's hard to say, because it really depends on the instruction/software as it is very situational. It also depends on the type of device it is powering, you can move up from Phones, to Thin Tablets, to Thick Laptops, to Large Desktops, and upto a Server. Each device offers different thermal constraints.The lower-thermal devices will favour the ARM chip, the mid-level will favour AMD, and the higher-thermal devices will favour Intel. That WAS the rule of thumb. In general, you could say Intel's SkyLake has the single-threaded performance crown, then AMD's Zen+ loses to it by a notable margin but beats it in multi-threaded tasks, and then going to an ARM Cortex A76 will have the lowest single-thread but the highest multi-threaded performance.
Now?
Well, there's the newly launched 2021 AMD Zen3 processor. And the upcoming 2021 ARM Cortex-X Overclocked Big-core using the new A78 microarchitecture. Lastly there's the 2022 Intel Rocket Lake yet to debut. So it's too early to tell, we can only make inferences.
Kangal - Saturday, November 7, 2020 - link
Here is my personal (yet amateur) take on the future 2020-2022 standpoints between the three racers. Firstly I'll explain what the different keywords and attributes mean(from most technical to most real-world implication)
Total efficiency: (think Full Server / Tractor) how much total calculations versus total power draw
Multi-threaded: (think Large Desktop / Truck) how much total calculations
Single-threaded: (think Thick Laptop / Car) how much priority calculations
IPC performance: (think Thin Tablet / Motorbike) how much priority calculations at desirable frequency/voltage/power-draw
*Emulating:
Having a "simple" ARM chip running "complex" x86 instructions. Such as running 32bit or 64bit OS X or Windows programs, via new techniques of emulation using a partial-hardware and hybrid-software solutions. I think the hit to efficiency will be around x3, instead of the expected x12 degradation.
So here are the lists (from most technical to most real-world implication)
Simple Code > Mixed code > Recommended Solution
Here's how they stack up when running identical new code (ie Modern Apps):
Total efficiency: ARM >>>> AMD >> Intel
Multi-threaded: ARM > AMD > Intel
Single-threaded: Intel = AMD > ARM
IPC performance: ARM >>> AMD > Intel
Now what about them running legacy code (ie x86 Program):
Efficiency + *emulating: AMD > Intel >> ARM
Multi + *emulating: AMD > Intel >> ARM
1n + *emulating: Intel = AMD >>> ARM
IPC + *emulating: AMD > Intel > ARM
My recommendation?
Full Server: 60% legacy 40% new code. This makes ARM the best option by a small margin.
Large Desktop: 80% legacy 20% new code. AMD is the best option with modest margin.
Thick Laptop: 70% legacy 30% new code. Intel is the best. AMD is very close (tied?) second.
Thin Tablet: 10% legacy 90% new code. ARM is the best option by huge margin.
Tomatotech - Monday, November 9, 2020 - link
Excellent post, but worth pointing out that *all* modern chips now emulate x86 and x64 code. They run a front end that takes x86 / x64 machine code then convert that into RISC code and that goes through various microcode and translation layers before being processed by the backend. That black box structure has allowed swapping out and optimising the back end for decades while maintaining code compatibility on the front end.So it’s not as simple to differentiate between the various chips as you make it out to be.
Gondalf - Sunday, November 8, 2020 - link
I don't know. Looking Spec results, we can say Anandtech is absolutely unable to set a Spec session correctly. From the review Zen 2 is slower per Ghz than old Skylake in integer, that is absolutely wrong in consumer cores (in server cores yes), even worse Ice Lake core is around fast as old Skylake per GHz.Basically this review is rushed and very likely they have set all AMD compiler flags on "fast" to do more contacts and a lot of hipe.
My God, for Anandtech Zen 3 is 35% faster in the global Spec values than Zen 2. Not even AMD worst marketing slide say this. We have Zen 4 here not Zen 3. Wait wait please.
A really crap review, the author need to go back to school about Spec.
Obviously the article do not say that 28W Tiger Lake is unable to run at 4.8Ghz for more than a couple of seconds, after this it throttes down, so the same Willow Cove core on a desktop Cpu could destroy Zen 3 without mercy on a CB session. Not to mention the far slower memory subsystem of a mobile cpu.
Basically looking at games results, Rocket Lake will eclipse this core forever. AMD have nothing of new in its hands, they need to wait Zen 4
Qasar - Sunday, November 8, 2020 - link
yea ok gondalf, trying to find ways that your beloved intel doesnt lose at everything now ??accept it, amd is faster then intel across the board.
Spunjji - Monday, November 9, 2020 - link
That's a strange claim about Tiger Lake performance, Gondalf, because I seem to recall Intel seeding all the reviewers with a laptop that could run TGL at 4.8Ghz boost 'til the cows come home - and that's what Anandtech used to get that number. It's literally the best they can do right now. You're right of course - in actual shipping ultrabooks, TGL is a hot PoS that cannot maintain its boost clocks. Maybe by 2022 they'll finally put Willow Cove into a shipping desktop CPU."Basically looking at games results, Rocket Lake will eclipse this core forever"
If by "eclipse" you mean gain a maximum 5% advantage at higher clock speeds and nearly double the power draw then sure, "eclipse", yeah. 🤭
I love your posts here. Please, never stop stepping on rakes like Sideshow Bob.
macroboy - Saturday, December 12, 2020 - link
LOL look at AMD's Efficiency and sustained core clocks, Intel runs too hot to stay at 5ghz for very long. meanwhile Zen3 plows along at 55C no problem, *you're the one who needs to check your facts.