expired
Apple MacBook Pro (Refurb): 16.2", M1 Pro, 32GB RAM, 512GB SSD, Space Gray $779.99
$780
$1,799
56% off
eBay
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eBayDeal Details
Sold by Revive IT Computer Store via eBay
"1-year warranty: This item has a 1-year warranty serviced by Allstate."
Condition Info:
SPECS:
https://www.ebay.com/itm/197095586166
"1-year warranty: This item has a 1-year warranty serviced by Allstate."
Condition Info:
- Very Good - Refurbished: Fully Tested. Ready for reuse! Very Good Grade B / Light Delamination"
SPECS:
- 16.2" LED-backlit Liquid Retina XDR display, 3456 x 2234 resolution, 254ppi, 1000 nits sustained brightness, 1600 nits peak
- Apple M1 Pro processor, 10-cores, 3.2 GHz
- 16-core GPU and 16-core Neural Engine
- 512GB SSD storage
- 32GB unified memory
- Integrated 1080p FaceTime HD webcam
- Backlit Magic Keyboard
- Touch ID sensor
- Force Touch Trackpad
- 802.11ax Wi-Fi + Bluetooth 5.0
- Ports:
- 3x Thunderbolt 4 (USB-C)
- 1x HDMI 2.0
- 1x Audio Combo Jack
- SDXC card slot
https://www.ebay.com/itm/197095586166
Community Notes
About the Poster
Deal Details
Community Notes
About the Poster
Sold by Revive IT Computer Store via eBay
"1-year warranty: This item has a 1-year warranty serviced by Allstate."
Condition Info:
SPECS:
https://www.ebay.com/itm/197095586166
"1-year warranty: This item has a 1-year warranty serviced by Allstate."
Condition Info:
- Very Good - Refurbished: Fully Tested. Ready for reuse! Very Good Grade B / Light Delamination"
SPECS:
- 16.2" LED-backlit Liquid Retina XDR display, 3456 x 2234 resolution, 254ppi, 1000 nits sustained brightness, 1600 nits peak
- Apple M1 Pro processor, 10-cores, 3.2 GHz
- 16-core GPU and 16-core Neural Engine
- 512GB SSD storage
- 32GB unified memory
- Integrated 1080p FaceTime HD webcam
- Backlit Magic Keyboard
- Touch ID sensor
- Force Touch Trackpad
- 802.11ax Wi-Fi + Bluetooth 5.0
- Ports:
- 3x Thunderbolt 4 (USB-C)
- 1x HDMI 2.0
- 1x Audio Combo Jack
- SDXC card slot
https://www.ebay.com/itm/197095586166
Community Voting
Deal
Score
+16
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Community Reviews
This 16.2 inch M1 Pro MacBook Pro stands out as a sturdy workstation laptop with strong memory bandwidth, a sharp screen, and support for multiple external displays. The 32GB unified memory and 512GB SSD make it appealing for local AI tinkering and heavier multitasking, especially for larger models that need more memory. The main tradeoff is speed, since RTX GPUs are generally much faster for smaller and mid sized local models, and the machine is notably heavy at about 4.5 pounds plus charger. Battery health in the listing is also a concern, with a minimum of 70 percent and some arrivals around the low 80s.
If you're doing local AI experiments with smaller models (around 8B class) and want decent local inference without paying for a much higher-end machine, this is a good match because commenters report M1 Pro-class performance in that range (e.g., Q4 8B) and caution that very large models like 70B shouldn't be run on slower setups.
If you're trying to keep costs down while still getting enough unified memory for practical local experimentation, this is a better fit than lower-RAM options because commenters note that with higher unified memory (like 64GB) you can load bigger models, implying 32GB is the minimum tier for useful local work.
If you want to set up a Mac workstation with four external screens but still need some portability, this MacBook Pro is a strong fit because M‑Pro chips support 4 external connections and the older model can cost a lot less while still covering that workflow.
If you care about a high-quality display and can tolerate the weight, this is a good buy because one owner says the screen size/resolution/graphics quality are outstanding even though it's heavy (about 4.5 lb plus charger).
If you're buying for local LLM use where you'll run your own models (not relying on preinstalled AI features), this can work well because commenters say there's no AI preinstalled and the point is running your own local AI models on the machine.
If your main goal is fast local AI inference for small/mid LLMs, this may disappoint because commenters say RTX GPUs are usually much faster for small/mid models and that the MacBook Pro can be much slower for AI even if it can run larger models.
If you're sensitive to portability or don't want a heavy laptop to carry around, this isn't ideal because owners warn it's heavy (around 4.5 lb plus the charger) and that it will take a toll.
If you need the best battery health guarantee from a refurb listing, this may be risky because commenters flag that the description's "minimum 70%" battery health is lower than the ~85% they usually see on refurbished Macs.
If you're specifically trying to avoid Apple Intelligence/locked-down behavior, this may not be ideal because commenters say Apple Intelligence is installed on machines, can be disabled, but may get reactivated or lead to a locked-down feature set if you opt out.
If you plan to run very large local models (e.g., ~70B), this is not ideal because commenters explicitly caution not to run slow setups like this for very large models.
Common Questions (4)
AI-generated summary based on comments from the community. Updated ago
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24 Comments
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This laptop is great but lot slower for AI or I would be all over this. Can run larger models but much slower. Good deal though IMO if you need a big laptop. Beware it is heavy 4.5lb plus charger will take a toll on you for sure
As for faster, depending on the M series's GPU but most of the time the recent RTX cards will be much faster. Apple has unify memory and can run larger models more often but small/mid LLM size will be much faster on RTX.
My old M1 Max with 24GPU was slower for Ollama running a 5B parameter models vs. RTX 2070. My current M4 Pro with newer 16 GPU cores still can't beat RTX 2070 (didn't try MLX but normal use for LLM the older generation of RTX cards are still much much faster.
lots of way to slice it though as there are diff factors.
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Power faulted on the PC, I figured I will really troubleshoot it properly since it was some weird power thing. Followed some basic troubleshoot thing and the power supply was clicking and clicking, tripping basically.
Took off power on the Mb etc. to rest, still no go so it's def power supply...
Decided to go outside for the last test since I thought it would be fun and it was!!!
Fired it up-- then I saw this.
All had stock components for many years) but I was stressing the hell out of RTX 2070 that came with the machine originally (that's why I wanted to get RTX 5060)
I will rent GPU online for a while I guess.
As for faster, depending on the M series's GPU but most of the time the recent RTX cards will be much faster. Apple has unify memory and can run larger models more often but small/mid LLM size will be much faster on RTX.
My old M1 Max with 24GPU was slower for Ollama running a 5B parameter models vs. RTX 2070. My current M4 Pro with newer 16 GPU cores still can't beat RTX 2070 (didn't try MLX but normal use for LLM the older generation of RTX cards are still much much faster.
lots of way to slice it though as there are diff factors.
you can run local ai model up to 64gb (vram)
you can run local ai model up to 64gb (vram)
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