I Unboxed the Base M6 Mac mini and Speed Ran Local AI
I bought the base M6 Mac mini with 16GB of unified memory and a 256GB SSD, then filmed the trip from opening the box to getting a useful local AI chat. The clock in the video starts with the first setup shot after unboxing and reaches about 1 hour 21 minutes by signoff. That includes a software update, recording setup, and a later retake. It is the elapsed story, not a model speed test.
The setup took longer than the unboxing
The hardware part was simple. I showed the box, added a few closeups from my phone, and used a capture card to record the first boot. Then came the ordinary setup screens and a system update. Watching a progress bar is a real part of setting up a new computer, but it does not make for much of a video, so the edit moves quickly through the waits.
I also had to get the recording working on the new machine. I installed Firefox, opened OBS Studio, and got Ollama ready. The on-screen clock keeps running across the cut-down waits and the gap before I recorded the final model attempt. It is a timeline of my setup, not a continuous shot.
My first model choice was too ambitious
I started with Gemma 4 26B through Claude Code and Ollama. I asked a tiny question and waited. The model eventually replied, which earned a little celebration in the edit, but the machine was under heavy memory pressure. With the operating system and recording apps open, this was not a useful way to start a conversation on the base configuration.
The celebration card shows elapsed setup time from after unboxing. It does not say the answer itself took that entire time. My mistake was picking a large model before finding out what felt comfortable on this particular computer.
The smaller chat was the useful first impression
For the last part of the video, I switched to Gemma 4 E4B MLX directly in Ollama's CLI. A short prompt answered promptly, and I could continue with a longer request. That was the moment the project felt like a local chat instead of a setup exercise.
I show one output rate from that session in the video, but I did not run a controlled benchmark or compare the two models under matching conditions. This first look tells me something narrower and more useful: a smaller model felt workable on my 16GB machine with other apps open. If I did the setup again, I would start small, check memory pressure, and leave room on the 256GB SSD for model files before downloading anything much larger.
🎥 Gear links
Affiliate links may earn me a commission at no extra cost to you. As an Amazon Associate I earn from qualifying purchases.
- Sony a6700 with 16-50mm kit lens (camera recommendation) (Amazon (paid link))
- Shure SM7B dynamic microphone (the mic in every video) (Amazon (paid link))
- Cloud Microphones Cloudlifter CL-1 mic activator (+25 dB clean gain for the SM7B) (Amazon (paid link))
- Focusrite Scarlett Solo 4th Gen USB-C audio interface (Amazon (paid link))
- Audio-Technica ATH-M50x closed-back monitor headphones (Amazon (paid link))
- ADAM Audio D3V desktop studio monitors, black pair (Amazon (paid link))
- GMKtec EVO-X2 AI Mini PC, Ryzen AI Max+ 395, 128GB LPDDR5X, 2TB SSD (my rig) (Amazon (paid link))
- Logitech G PRO X Superlight 2 wireless mouse, black (Amazon (paid link))
- ALTSON 60 LED portable video light, CRI 97+, rechargeable, clip + tripod adapter (my key light) (Amazon (paid link))
- Rybozen HDMI to USB 3.0 capture card (Amazon (paid link))
- UGREEN Maxidok Thunderbolt 5 dock (Amazon (paid link))
