The Qualcomm Snapdragon 820 Performance Preview: Meet Kryo
by Ryan Smith & Andrei Frumusanu on December 10, 2015 11:00 AM EST- Posted in
- SoCs
- Snapdragon
- Qualcomm
- Snapdragon 820
CPU Performance: Meet Kryo
To dive right into the heart of matters then, after getting our standard benchmarks out of the way we had enough time left to load up some of our more advanced analysis tools to run on the 820 MDP/S. While Qualcomm has been somewhat forthcoming in the Kryo CPU architecture, they have never been as forward as say ARM (who is in the business of licensing the IP), so there are still some unanswered questions about what Kryo is like under the hood.
Qualcomm CPU Core Comparison | |||||||
Snapdragon 800 | Snapdragon 810 | Snapdragon 820 | |||||
CPU Codename | Krait | ARM Cortex-A57 | Kryo | ||||
ARM ISA | ARMv7-A (32-bit) | ARMv8-A (32/64-bit) | ARMv8-A (32/64-bit) | ||||
Integer Add | 1 | 2 | 1 | ||||
Integer Mul | 1 | 1 | 1 | ||||
Shifter ALUs | 1 | 2 | 1 | ||||
Addition (FP32) Latency | 3 cycles | 5 cycles | 3 cycles | ||||
Multiplication (FP32) Latency | 6 cycles | 5 cycles | 5 cycles | ||||
Addition (INT) Latency | 1.5 cycles | 1 cycle | 1 cycle | ||||
Multiplication (INT) Latency | 4 cycles | 3 cycles | 4 cycles | ||||
L1 Cache | 16KB I$ + 16KB D$ | 48KB I$ + 32KB D$ | 32KB I$ + 32KB D$? | ||||
L3 Cache | N/A | N/A | N/A |
One thing that immediately jumps out is how similar some of our results are to Krait. According to our initial tests, the number of integer and FP ALUs would appear to be unchanged. Similarly the latency for a lot of operations is similar as well. This isn’t wholly surprising as Krait was a solid architecture for Qualcomm, and there is a good chance they agreed and decided to use it as their starting point. At the same time however I do want to note that these are our initial results done rather quickly on what’s essentially a beta device; further poking later on may reveal more differences than what we’ve seen so far.
But with the above said, there’s a big difference between how many execution units a CPU design has and how well it can fill them, which is why even similar designs can have wildly different IPC. We’ll investigate this a bit more in a moment, however it’s worth noting that this is exactly the philosophy ARM has gone into with Cortex-A72, so it is neither unprecedented nor even unexpected.
Looking at the memory hierarchy and latency, our results point to a 32KB L1 data cache. For the moment I’m assuming the instruction cache is identical, as is the case on most designs, but this test is purely a data test. Meanwhile L2 cache size is a bit harder to pin down; we know that the different CPU clusters on 820 will be using different L2 cache sizes. Ultimately it's pretty much impossible to pin down the exact L2 cache size from this test alone, especially since we can't see the amount of L2 attached to the lower clocked Kryo cluster.
According to our colleague Matt Humrick over at Tom's Hardware, while investigating the matter, it seems that Qualcomm disclosed that we're looking at an 1MB L2 for the performance cluster and a 512KB L2 for the power cluster. We're still looking into independently confirming this bit of information with Qualcomm.
However what you won’t find – and much to our surprise – is an L3 cache. Our test results indicate (and Qualcomm confirms) that Snapdragon 820 does not have an L3 cache as we initially expected, with the L2 cache being the highest cache level on the chip. We initially reported there to be an L3 due to the fact that we found evidence and references to this cache block in Qualcomm's resources, but it seems the latest revision of the SoC doesn't actually employ such a piece in actual silicon, as demonstrated by the latency graph. This means that there isn’t any kind of cache back-stopping interactions between the two CPU clusters, or between the CPU and GPU. Only simple coherency, and then beyond that main memory.
Geekbench 3 Memory Bandwidth Comparison (1 thread) | ||||||
Stream Copy | Stream Scale | Stream Add | Stream Triad | |||
SD 801 (2458MHz) | 7.6 GB/s | 4.6 GB/s | 4.6 GB/s | 5.2 GB/s | ||
SD 810 (1958MHz) | 7.5 GB/s | 7.4 GB/s | 6.4 GB/s | 6.6GB/s | ||
SD 820 (2150MHz) | 17.4 GB/s | 11.5 GB/s | 13.1 GB/s | 12.8 GB/s | ||
SD 820 > 810 Advantage | 131% | 55% | 103% | 94% |
Meanwhile looking at Geekbench 3 memory performance, one can see that memory bandwidth is greatly improved over both Snapdragon 800/801 and 810. Stream copy in particular is through the roof, increasing by 131% (over double 810’s performance). Even the other tests, though not as great, are between 55% and 103%. The Snapdragon 820 also shows improved latency to main memory when compared to the Snapdragon 810, so it seems that Qualcomm made definite improvements in the memory controller and general memory architecture of the chipset, allowing the CPUs to get nearer to the theoretical total memory bandwidth offered by the memory controllers.
Moving on, let’s shift to some benchmarks that make a more comprehensive look at performance, starting with SPECint2000. Developed by the Standard Performance Evaluation Corporation, SPECint2000 is the integer component of their larger SPEC CPU2000 benchmark. Designed around the turn of the century, officially SPEC CPU2000 has been retired for PC processors, but with mobile processors roughly a decade behind their PC counterparts in performance, SPEC CPU2000 is currently a very good fit for the capabilities contemporary SoCs.
SPECint2000 - Estimated Scores | ||||||
Snapdragon 810 | Snapdragon 820 | % Advantage | ||||
164.gzip |
823
|
1176
|
43%
|
|||
175.vpr |
2456
|
1707
|
-30%
|
|||
176.gcc |
1341
|
1641
|
22%
|
|||
181.mcf |
789
|
593
|
-25%
|
|||
186.crafty |
1492
|
1449
|
-3%
|
|||
197.parser |
753
|
962
|
28%
|
|||
252.eon |
2321
|
3333
|
44%
|
|||
253.perlbmk |
1090
|
1384
|
27%
|
|||
254.gap |
1325
|
1447
|
9%
|
|||
255.vortex |
1043
|
1583
|
52%
|
|||
256.bzip2 |
867
|
1041
|
20%
|
|||
300.twolf |
DNC
|
DNC
|
N/A
|
Even though this early preview means we don’t have the luxury of building a binary with a compiler aware of Kryo, using our A57 binaries produces some preliminary results on the 820 MDP/S. Performance does regress in a couple of places – but in other places we see performance increases by up to 52%. 820 does have a slight 10% frequency advantage over 810, so when taking into account the clock difference the IPC improvements are slightly lower. This is also showcased when comparing the Snapdragon 820 to a more similarly clocked Exynos 7420 (A57 @ 2100MHz), where the maximum advantage drops to 33% and similarly to a clock-normalized Snapdragon 810, the overall average comes in at only 5-6%. Once we get the opportunity to have more time with a Snapdragon 820 device we'll be able to verify how much the compiler settings affect the score on the Kryo architecture.
Our other set of comparison benchmarks comes from Geekbench 3. Unlike SPECint2000, Geekbench 3 is a mix of integer and floating point workloads, so it will give us a second set of eyes on the integer results along with a take on floating point improvements.
Geekbench 3 - Integer Performance | ||||||
Snapdragon 810 | Snapdragon 820 | % Advantage | ||||
AES ST |
739.7 MB/s
|
700.7 MB/s
|
-5%
|
|||
AES MT |
3.05 GB/s
|
1.99 GB/s
|
-35%
|
|||
Twofish ST |
89.8 MB/s
|
102.7 MB/s
|
14%
|
|||
Twofish MT |
448.5 MB/s
|
345.5 MB/s
|
-23%
|
|||
SHA1 ST |
628.9 MB/s
|
983 MB/s
|
56%
|
|||
SHA1 MT |
3.02 GB/s
|
2.84 GB/s
|
-6%
|
|||
SHA2 ST |
83.5 MB/s
|
134.9 MB/s
|
61%
|
|||
SHA2 MT |
393.4 MB/s
|
374.6 MB/
|
-5%
|
|||
BZip2Comp ST |
5.01 MB/s
|
7.29 MB/s
|
45%
|
|||
BZip2Comp MT |
20.5 MB/s
|
20.5 MB/s
|
0%
|
|||
Bzip2Decomp ST |
7.99 MB/s
|
9.76 MB/s
|
24%
|
|||
Bzip2Decomp MT |
30.8 MB/s
|
24.9 MB/s
|
-19%
|
|||
JPG Comp ST |
18.9 MP/s
|
23.3 MP/s
|
23%
|
|||
JPG Comp MT |
88.9 MP/s
|
76.7 MP/s
|
-14%
|
|||
JPG Decomp ST |
41.5 MP/s
|
62.2 MP/s
|
49%
|
|||
JPG Decomp MT |
182.7 MP/s
|
176.6 MP/s
|
-3%
|
|||
PNG Comp ST |
1.11 MP/s
|
1.56 MP/s
|
43%
|
|||
PNG Comp MT |
4.78 MP/s
|
4.61 MP/s
|
-4%
|
|||
PNG Decomp ST |
17.9 MP/s
|
24.2 MP/s
|
35%
|
|||
PNG Decomp MT |
94.1 MP/s
|
64.3 MPs
|
-32%
|
|||
Sobel ST |
53.3 MP/s
|
86.3 MP/s
|
62%
|
|||
Sobel MT |
248.4 MP/s
|
244.8 MP/s
|
-1%
|
|||
Lua ST |
1.30 MB/s
|
1.59 MB/s
|
22%
|
|||
Lua MT |
5.93 MB/s
|
4.5 MB/s
|
-24%
|
|||
Dijkstra ST |
3.38 Mpairs/s
|
5.52 Mpairs/s
|
63%
|
|||
Dijkstra MT |
13.7 Mpairs/s
|
13.7 Mpairs/s
|
0%
|
The actual integer performance gains with GeekBench 3 are rather varied. Single-threaded results consistently show gains, ranging from a minor -5% regression for AES up to a 61% improvement for SHA2. Given the architecture shift involved here, this is a bit surprising (and in Qualcomm’s favor) since you wouldn’t necessarily expect Kryo to beat Cortex-A57 on everything. On the other hand MT results typically show a regression, since Snapdragon 810 had a 4+4 big.LITTLE configuration that meant that it had the 4 Cortex-A53 cores contributing to the task, along with the big cores all running at their near-full clockspeed, while Kryo’s second cluster runs at a reduced clockrate. And though one could have a spirited argument about whether single-threaded or multi-threaded performance is more important, I’m firmly on the side of ST for most use cases.
Geekbench 3 - Floating Point Performance | ||||||
Snapdragon 810 | Snapdragon 820 | % Advantage | ||||
BlackScholes ST |
5.46 Mnodes/s
|
12.3 Mnodes/s
|
125%
|
|||
BlackScholes MT |
25.5 Mnodes/s
|
32.1 Mnodes/s
|
26%
|
|||
Mandelbrot ST |
1.2 GFLOPS
|
2 GFLOPS
|
67%
|
|||
Mandelbrot MT |
6.41 GFLOPS
|
6.23 GFLOPS
|
-3%
|
|||
Sharpen Filter ST |
1.07 GFLOPS
|
2.15 GFLOPS
|
100%
|
|||
Sharpen Filter MT |
5.02 GFLOPS
|
6.11 GFLOPS
|
22%
|
|||
Blur Filter ST |
1.27 GFLOPS
|
3.14 GFLOPS
|
147%
|
|||
Blur Filter MT |
6.14 GFLOPS
|
8.84 GFLOPS
|
44%
|
|||
SGEMM ST |
2.29 GFLOPS
|
4.09 GFLOPS
|
79%
|
|||
SGEMM MT |
6.12 GFLOPS
|
9.19 GFLOPS
|
50%
|
|||
DGEMM ST |
1.05 GFLOPS
|
1.95 GFLOPS
|
85%
|
|||
DGEMM MT |
2.81 GFLOPS
|
4.53 GFLOPS
|
61%
|
|||
SFFT ST |
1.25 GFLOPS
|
1.98 GFLOPS
|
58%
|
|||
SFFT MT |
4.11 GFLOPS
|
5.65 GFLOPS
|
37%
|
|||
DFFT ST |
1.03 GFLOPS
|
1.68 GFLOPS
|
63%
|
|||
DFFT MT |
2.97 GFLOPS
|
4.76 GFLOPS
|
60%
|
|||
N-Body ST |
486.6 Kpairs/s
|
841 Kpairs/s
|
73%
|
|||
N-Body MT |
1.72 Mpairs/s
|
2.34 Mpairs/s
|
36%
|
|||
Ray Trace ST |
1.84MP/s
|
2.86 MP/s
|
55%
|
|||
Ray Trace MT |
8.16 MP/s
|
8.46 MP/s
|
4%
|
GeekBench 3’s floating point results are even more positive for Snapdragon 820. There is only a single performance regression, a -3% in Mandelbrot multi-threaded. Otherwise in both MT and ST workloads, performance is significantly up. This is a prime example of where Kryo is taking better advantage of its execution units than any high-end Qualcomm SoC before it, as even holding steady (or on paper having a slight deficit) it in practice comes out significantly ahead.
146 Comments
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extide - Thursday, December 10, 2015 - link
Dude, it has half as many cores. It's a 2+2 design vs a 4+4 design. The fact that is is able to stay close in INteger and actually win in all but one test in FP is actually really good.Although it kinda makes me wish they did a 3+3 design, but oh well, maybe they will in the future.
saratoga4 - Thursday, December 10, 2015 - link
Got to save something for the Snapdragon 825 a year later.alex3run - Friday, December 11, 2015 - link
A9 has still worse CPU performance than Exynos 7420.techconc - Wednesday, December 16, 2015 - link
How so?Thermogenic - Thursday, December 10, 2015 - link
What I'm gathering from these charts is that every 2016 Android smartphone will have lesser performance than the 2015 iPhone, unless Samsung pulls some magic out of their hat with the next version of their chipset.tuxRoller - Thursday, December 10, 2015 - link
Yes, but so what? Apple had had better cpus for several years now. Nothing new here.The more interesting thing is that despite that, Android is still able to keep up with the "highly optimized" "vertically integrated" ios with flagships when it comes to everyday tasks.
MykeM - Thursday, December 10, 2015 - link
http://www.xda-developers.com/marshmallow-reduces-...tuxRoller - Friday, December 11, 2015 - link
....and? I'm aware of android's latency issues (their touch latency is...not good ether).jasonelmore - Friday, December 11, 2015 - link
what good is the performance if it's a sandboxed phone? cant carry around files on the phone, use it as portable computer with flash drive option.Constructor - Saturday, December 12, 2015 - link
That has never been true for iOS either. I've been doing that with my respective iPhones for years by now.There are multiple options for that, but I personally use GoodReader as my generic file system manager on my iPhone and on my iPad. I can expose my files as a mountable network drive and I can also mount remote drives as well. I can also access files on DropBox and similar services from apps directly if I want.
This is not a real issue – nowadays it's mostly just a myth propagated among people who don't know better.