# Nexus 6P Benchmarks - Pt. 2

 Part 1 Part 2 Part 3 Part 4

A couple months ago I began benchmarking ROMs for the Nexus 6P, to the tune of 300+ tests. This marks the conclusion of Phase One of my mega project of not only testing, but learning more about Android (after a few years of rust).

### Frist Things First:

You can find my data spreadsheet shared publicly on Google Drive. Phase One involved the first two pages. The first page rankes ROMs by their average score between AnTuTu Benchmark, GeekBench single core, GeekBench multi-core, and Quadrant Benchmark. The second page ranks ROMs by their calculated maximum screen-on-time (SOT). The third page is not for comparing ROMs, but i/o schedulers – which will come at a much later phase.

The purpose of this project is not to find the best ROM, but to create a spectrum quantitative data. Obviously certain “must have” features and other intangibles weigh heavily in choosing your “daily driver.”

#### The Testing Process:

• Performance:
• AnTuTu, Quadrant, and GeekBench were each run for a given ROM at its default settings. The average of those results was then computed for the ranking variable.
• The process was repeated with the ROMs i/o scheduler changed to NOOP, and again with it changed to Deadline.
• The highest average scorer of those three (default, NOOP, and Deadline) was again run through all three benchmarks with each of the following Interactive governor profiles applied: ghost pepper, butterfly, silverfish, maddog.
DISCLOSURE:

Some early ROMs I flashed weren't given the full treatment as I was still fleshing
out the process.  Others, later, were cut short if I decided from a particular bug
that the ROM wasn't going to be my "keeper."

• Battery / SOT:
• The (on battery) runtime quota was set at 50 hours. Typically that came to 3-5 intervals over 2-4 days. While arbitrary, it seemed realistic / sustainable and more or less capable of accounting for variance in day-to-day use.
• Five pieces of data were collected for every interval: runtime, percent of battery used, screen on time, percentage of time in deep sleep, and average CPU frequency. The homebrewed calculator I used for the later is also featured on page two of the Google Sheet.
• The sum runtime and sum percent battery used were used to calculate an “estimated lifespan” (of a 100% charge).
• The estimated lifespan and actual screen on percentage (of total runtime) were used to calulated an estimated maximum screen on time. This is the ranking factor.
• Noted deep sleep is the mean of each interval’s deep sleep percentage. Likewise, average CPU frequency is the mean of each interval’s mean CPU frequency.
• The ROM’s kernel is noted as this will be relevant in later stages.
DISCLOSURE:

Governor and i/o scheduler are noted as well.  Both were noted at the default value
even though benchmarking with non-default values sometimes took place during testing
intervals.


#### Performance Results:

 Mean across all samples 25254.1 Standard Deviation 3309.17 Z = 1 28563.2

You can run more statistical analysis if you want, but just eyeballing the data we can see that:

• Chroma, Slim, and AOSiP did very well (bear in mind, the AOSiP kernel is OC’d a bit).
• There are some Top 20 appearances from Sinless, Exodus, and Bliss.
• 11/20 of the Top 20 had the default i/o scheduler.
• Of the top 20, there were only 5 appearances by custom interactive profiles (3 x ghost pepper, 2 x maddog).
Average Score per I/O Scheduler
FIOPS 28512.75
NOOP 25184.33333
BFQ 25160.15385
CFQ 24326.69792
Average Score per Governor Profile
Ghost Pepper 26240.13889
Default 25546.9805
Butterfly 24743.92361
Silverfish 23791.21212

#### Battery Results:

Battery Quick Stats
Mean Est. Lifespan 21.02 hours
Est. Lifespan SD 3.42
Est. Lifespan Z=1 24.447 hours
Mean SOT 3.885 hours
SOT SD 0.3633
SOT Z=1 4.249

#### Going Forward:

• Phase 2: I will select some personal favorite ROMs / top performers (z=1) here and repeat this testing proces with a closer focus on custom kernels.

• Phase 3: Once I’ve got a ROM + Kernel combo I like, I’ll look closer at how Interactive governor profiles affect performance and battery life – as well as manually create an optimized profile based on my usage.

• Phase 4: Finally I’ll delve into the details of i/o schedulers as well as other i/o and build.prop tweaks.

Stay tuned!