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The regression analysis suggests that for multi-core Geekbench scores, 32GB models perform better than 16GB models by an average of ~600 points. No difference between 32GB and 64GB models. No effect of RAM on single-core benchmark scores. This is consistent across models (2019 15" or 16") and CPUs.

@leman This is strange. I just ran GB5 with Activity Monitor open and it never went above 1.2GB memory usage and memory pressues was always in the green. I wonder if this effect is due to folks running GB with alot of other stuff in the background - which is easier to get away with on a 32GB machine ?
 
I have now grabbed all 2019 15" and 16" scores (took a while since Geekbench browser is throttling requests — quite sensibly). I have also removed the lowest 5% of results (per group of model/CPU/RAM) in an attempt to weed out some of the underperforming outliers.

The regression analysis suggests that for multi-core Geekbench scores, 32GB models perform better than 16GB models by an average of ~600 points. No difference between 32GB and 64GB models. No effect of RAM on single-core benchmark scores. This is consistent across models (2019 15" or 16") and CPUs.

Comparing the 15" and 16"... according to my (very crappy and lazily set up) linear model the 16" is ~30 points slower on average than comparable 15" config in single core tests and ~150 points faster in multi-core.

If you want some graphs, here they are (I don't think that since-core is that interesting):

View attachment 878493View attachment 878494
high quality posts as always leman
A little odd the 16 inchers are lagging tho and a bummer
I did get a 16 incher and it flys.
 
@leman Could you share which 15 inch models are included in your graphs? I’ve heard few people say that CPUs on newer Vega models run better compared to models with Polaris GPUs. I guess Polaris GPUs may suck more power or run hotter.

Unfortunately my script does not grab the GPU details.
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@leman This is strange. I just ran GB5 with Activity Monitor open and it never went above 1.2GB memory usage and memory pressues was always in the green. I wonder if this effect is due to folks running GB with alot of other stuff in the background - which is easier to get away with on a 32GB machine ?

I also find it strange, it should not have any impact. Possibly a benchmarking artefact. It is possible they are not doing proper "warmup" when starting some tests. I don't know. Geekbench is not a good benchmark. It is unreliable and all over the place. We are only talking about it because that's all we have right now :D
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A little odd the 16 inchers are lagging tho and a bummer

Yes, I find it odd too. But then again its Geekbench, everything is possible with Geekbench. My 16" just arrived and I will try to test out the thermals. Unfortunately I don't have a 2019 model with 8-core CPU to test it agains... so I'll. have to use my 2018 6-core Vega Pro 20 machine.
 
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Unfortunately my script does not grab the GPU details.

I think it's easy to do that just by changing the search string. Seems to me that model number "MacBookPro15,3" refers to Vega models only and "MacBookPro15,1" are models with Polaris graphics.

Although GPU information is not visible for CPU benchmark results, when you search for "MacBookPro15,3" within compute results you can see that these are in fact 2018/2019 models with Vega graphics:
https://browser.geekbench.com/v5/compute/search?utf8=✓&q=MacBookPro15,3
 
a new test on barefeats - https://barefeats.com/16-inch-macbook-pro-adobe.html

they say "The 2.4GHz model exhibited an advantage ranging from 6% to 14%. With only a 4% CPU core frequency gain (and 4% Turbo Boost gain) over the 2.3GHz model, the faster times could be coming from the increase in main memory and GPU video memory."

so wondering if there is a significant difference between 2.3 @ 16GB vs 2.3 @ 32GB ram in the geekbench scores so far. not an expert, but maybe apple is using 1 "channel" (aka slot) for 16gb ram and 2 x 16gb channels for 32gb ram???
 
a new test on barefeats - https://barefeats.com/16-inch-macbook-pro-adobe.html

they say "The 2.4GHz model exhibited an advantage ranging from 6% to 14%. With only a 4% CPU core frequency gain (and 4% Turbo Boost gain) over the 2.3GHz model, the faster times could be coming from the increase in main memory and GPU video memory."

so wondering if there is a significant difference between 2.3 @ 16GB vs 2.3 @ 32GB ram in the geekbench scores so far. not an expert, but maybe apple is using 1 "channel" (aka slot) for 16gb ram and 2 x 16gb channels for 32gb ram???


A reasonable hypothesis. If you buy a motherboard with dual channel DIMM slots you want to always fill the slots for Channel A, Slot 0 (16GB) first. And then Channel B, Slot 0 (16G + 16GB) for optimal performance. And then fill Channel A, Slot 1 and Channel B, Slot 1 (16GB + 16GB + 16GB + 16G) to increase memory.

I do this on my deskside system to get my 64GB of memory.
 
Just compared Geekbench 5 for my new 16" / 8-core 2.4 GHz / 32 GB to my old 2016 / 4-core 2.9 GHz / 16 GB

2016: 855 / 3609
2019: 1184 / 7361

Or +38% / +103%

Very happy with the performance, a big difference for me with Visual Studio in VMWare Fusion, much, much snappier. Happy customer :)
 
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so wondering if there is a significant difference between 2.3 @ 16GB vs 2.3 @ 32GB ram in the geekbench scores so far

Yes there is, but it rather tells something about the quality of geekbench as a representative benchmark.

they say "The 2.4GHz model exhibited an advantage ranging from 6% to 14%. With only a 4% CPU core frequency gain (and 4% Turbo Boost gain) over the 2.3GHz model, the faster times could be coming from the increase in main memory and GPU video memory."

I have a number of issues with that. First of all this bit "with only a 4% CPU core frequency gain (and 4% Turbo Boost gain) over the 2.3GHz mode" is not accurate. These are not real clocks, they are just marketing values that represent certain limits in the CPU configuration. My 2.3 16" model for example runs at very steady 3.1 Ghz across 8 cores under sustained 100% load. The advertised clocks don't mean much here.

For their productivity software tests, the RAM and VRAM will most certainly make a difference. What I am confused about is why Tomb Raider is so much faster.

but maybe apple is using 1 "channel" (aka slot) for 16gb ram and 2 x 16gb channels for 32gb ram???

Very unlikely. I just run a quick and dirty RAM bandwidth benchmark and for larger buffer sizes I am getting around 38000 MB/sec which is consistent with DDR4 dual channel (theoretical maximum is 42000 MB/sec). Single-channel RAM would perform slower here.
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A reasonable hypothesis. If you buy a motherboard with dual channel DIMM slots you want to always fill the slots for Channel A, Slot 0 (16GB) first. And then Channel B, Slot 0 (16G + 16GB) for optimal performance. And then fill Channel A, Slot 1 and Channel B, Slot 1 (16GB + 16GB + 16GB + 16G) to increase memory.

I do this on my deskside system to get my 64GB of memory.

We are talking about a laptop though ;)
 
interesting. it would be good to get an apples-to-apples comparison of a 2.3 32/8gb vs a 2.4 32/8gb. maybe it's all about the ram, at least as far as geekbench goes.
 
2.3ghz 32gb 5500M 8GB

1154
Single-Core Score
7269
Multi-Core Score
Essentially same as the 2.4/32GB. Makes sense since thermals will prevent either model from hitting max boost anyway.

I'll consider the $150 hit an early adopter tax rather than buying a performance advantage (my goal was to buy a 2.3/32GB/55008GB/2TB, but the 2.4 was available in stores on day 1)
 
I'll consider the $150 hit an early adopter tax rather than buying a performance advantage (my goal was to buy a 2.3/32GB/55008GB/2TB, but the 2.4 was available in stores on day 1)

I think the jury is still out on that one. If you only get a 4-5% improvement in benchmarks that lines up with nominal clock speed will you see it that way?
 
I think the jury is still out on that one. If you only get a 4-5% improvement in benchmarks that lines up with nominal clock speed will you see it that way?
If I got the 4-5% increase, I would at least consider the upgrade meaningful, even if not worth the money. But even going in I expected a 0% real world performance difference outside of sticking the laptop in a freezer.
 
Just got my MBP 16.
i9 2,3Ghz
32GB RAM
1TB SSD
5500m 8GB

Geekbench right out the box
Bildschirmfoto 2019-11-25 um 18.01.03.png


After the update
Bildschirmfoto 2019-11-25 um 18.00.50.png
 
Ive noticed with all these Geekbench screenshots for the 16" that all of them show the memory frequency @1333 MHz; shouldn't they reflect the current 2666 MHz?
 
Ive noticed with all these Geekbench screenshots for the 16" that all of them show the memory frequency @1333 MHz; shouldn't they reflect the current 2666 MHz?

1333 MHz is actually the true frequency. Because it's DDR (Double Data Rate) you have to double the clock speed to get the equivalent speed which is 2666MHz. This is a RAM thing and not Mac specific. Here is an example from my windows PC:

gSl46gq.png


You can see it shows 1,799.9MHz (1800MHz really) the RAM is actually a 3600MHz kit. 1,800 x 2 = 3,600.
 
I think the scores will vary at the beginning as peoples machines are still setting up and they want to test their computer early..
Anyway I have had mine for a week now and it has settled down. I am extremely happy with it for my workload. Here is the score from today.
Screen Shot 2019-11-26 at 6.38.38 am.png
 
I think the scores will vary at the beginning as peoples machines are still setting up and they want to test their computer early..
Anyway I have had mine for a week now and it has settled down. I am extremely happy with it for my workload. Here is the score from today.

I thought I waited until my new computer had finished indexing, etc., but man I was wrong. I was seeing highly variable scores, 6600-7200 on the 2.4 i9. It was a combination of things. My mail app was still downloading messages, that was a silly oversight, but also my IT installs a ton of security software that I can't 100% disable. I uninstalled the remote screen share and chat, because for some reason that was running constantly despite being off. Then we have a Norton product that runs in the background a ton, SymDaemon. Its always like 20% of a thread, but spikes to 100% for a while.

Anyway, its a real lesson in how little it takes to give pretty wide scores. That SymDaemon kicks on, and Geekbench will be 10% lower. But if its not, which I guess its settled some, I get very consistent results now. 7150-7250 now. I'd probably score a bit better if some of this stuff could be easily turned completely off. But just simple stuff like leaving safari open, drops the score by 100 points or more.
 
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Really wish I could have done 32gb, but with the Adorama discounts on the base models ($270 on the i9), it would have been $670 for the upgrade from 16gb. Glad the i9 2.3 numbers have normalized at least.

Any reason why you didn't pick up the i7?
 
Then IT is doing it's job.
Yes, they gotten a lot better lately.... I can do a complete uninstall of the programs and put them back, but that’s hassle and not worth it for just a slightly better benchmark.
 
can we get some results with multiple runs back to back.. for instance.. my mid 2018 MacBook Pro i7 dropped over 200 points between the first run and the 4th run.. due to thermals.. it never could boost for longer than 3 seconds without having to throttle
 
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