August 29th, 2024

New 2GB Raspberry Pi 5 has 33% smaller die, 30% idle power savings

Raspberry Pi launched a 2GB Pi 5 for $50, featuring a smaller, efficient chip with reduced power consumption. It may struggle with modern software requiring more RAM, making it suitable for specific uses.

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New 2GB Raspberry Pi 5 has 33% smaller die, 30% idle power savings

Raspberry Pi has introduced a new 2GB version of the Pi 5, priced at $50, featuring a revised BCM2712 D0 chip that is 33% smaller than its predecessor, the C1. This new chip revision eliminates unnecessary functionalities, resulting in a more efficient design. The D0 stepping also offers a 30% reduction in idle power consumption, with idle power draw measured at 2.4W compared to 3.3W for the 4GB C1 model. Performance testing revealed that the 2GB Pi 5 can handle overclocking, with stability issues arising at speeds above 3.5 GHz. The smaller die size allows for cost-effective production, as more chips can be produced from a single silicon wafer. However, the 2GB model may struggle with modern software that typically requires more RAM, making it less suitable for users needing higher memory capacity. Overall, while the 2GB Pi 5 is a more affordable option, it is best suited for specific use cases that do not demand extensive RAM.

- The new 2GB Pi 5 features a smaller, more efficient BCM2712 D0 chip.

- Idle power consumption is reduced by 30% compared to the 4GB model.

- The 2GB model may not be suitable for software requiring more than 2GB of RAM.

- Overclocking tests indicate stability issues above 3.5 GHz.

- The 2GB Pi 5 is a cost-effective option for specific applications with lower memory needs.

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By @alxjsn - 8 months
I rather just buy used Lenovo Thinkcentere PCs on eBay. Way more power, cheaper and relatively small. There’s a lot of different CPU/RAM/DISK configurations you can find.

I’ve been buying these, throwing Fedora IoT, docker, and Tailscale on them and running them from different locations for personal projects.

By @0cf8612b2e1e - 8 months

  Some of the power savings could be chalked up to less RAM, because more RAM requires more power. But that doesn't explain all the results.
Is there a calculation to estimate RAM power consumption? I keep wanting to get a low powered N100, and have been wondering if I use say 8 vs 16GB RAM, would that make a measurable power difference?
By @quaintdev - 8 months
Genuine question what is the use case for such configuration I mean less RAM and powerful CPU?

I use my Pi for self hosting so I need more memory and more CPU is always better for my case. If they need less power consumption then they could have used Pi 4 or other lower version.

Besides low cost I don't see other advantage of such configuration. Please enlighten me.

By @pseudosavant - 8 months
If they are using a standard 300mm wafer and have similar yields, the D0 stepping will allow them to get ~50% more chips per wafer than the C1 stepping.
By @ksec - 8 months
Again. The 33% smaller die and cost savings ( or at least room for Broadcom to charge them a little less ) is minuscule compared to the cost of DRAM.

While LPDDR are slowly approaching DDR5's level, we still need to find way to lower cost. It doesn't seems there are any breakthrough or idea to push production cost of DRAM down to $1/GB.

By @GGO - 8 months
is there going to be D0 stepping for the 8GB version?
By @kobieps - 8 months
Is the firmware still closed source?
By @rjsw - 8 months
You had speculated in a previous thread that the new die could result in power savings, good to see some real measurements.
By @rldjbpin - 8 months
from the reading, my understanding is that the "dark silicon" was nothing but properly functional hardware which was redundant for use with rpi (e.g. ethernet controller).

if the makers knew what would not be required, why did they wait until the revision to make this change? the supply/demand argument does not make much sense to me especially given the surge in demand they've seen over the year, especially from the commercial arm.

By @PedroBatista - 8 months
More memory also needs more power.

Not sure what percentage of those gains can be attributed to less memory and what can is due to better die/process.

By @hcfman - 8 months
Nice comparison. Looking forward to the 4nm version
By @toastau - 8 months
Nice work!