The video compares the performance of the M4 Pro Mac Mini and the Beelink SER 9 with an AMD Ryzen AI9 processor by running the same AI model to generate a 500-word essay. The Beelink SER 9 significantly outperforms the Mac Mini, achieving 71.9 tokens per second compared to the Mac Mini’s 3.58 tokens per second, highlighting its superior efficiency for AI tasks.
In the video, the presenter compares the performance of two different computing devices: the M4 Pro Mac Mini and the Beelink SER 9, which is powered by an AMD Ryzen AI9 processor. Both machines are running the same model, Llama 3.2, to evaluate their efficiency in processing tasks, specifically focusing on the number of tokens generated per second during a text generation prompt.
The test involves a prompt asking the machines to write a 500-word essay. As the test begins, the presenter monitors the performance of both devices, noting the speed at which they complete the task. The Beelink SER 9 quickly shows impressive results, completing the prompt significantly faster than the M4 Pro Mac Mini, which is still processing the request.
As the results come in, the presenter highlights the stark difference in performance between the two machines. The Beelink SER 9 achieves a rate of 71.9 tokens per second, showcasing its superior processing capabilities. In contrast, the M4 Pro Mac Mini lags behind, generating only 3.58 tokens per second, indicating a considerable disparity in their ability to handle the same workload.
The video emphasizes the efficiency of the Beelink SER 9, which not only completes the task faster but also demonstrates a higher throughput in terms of token generation. This performance comparison suggests that for tasks involving AI and machine learning, the Ryzen-powered mini PC may offer a more powerful alternative to the Mac Mini, particularly for users focused on speed and efficiency.
In conclusion, the presenter declares the Beelink SER 9 as the clear winner in this head-to-head comparison. The results highlight the importance of hardware specifications in determining performance, especially in AI-related tasks, and may influence potential buyers when considering which machine to invest in for similar applications.