Testing RTX 5060 Ti AI Performance on a Mac Pro 5,1 – Envoke.ai, LLaMA, Gemma & More (Windows 11)
Testing RTX 5060 Ti AI Performance on a Mac Pro 5,1 – Envoke.ai, LLaMA, Gemma & More (Windows 11)
Testing RTX 5060 Ti AI Performance on a Mac Pro 5,1 – Envoke.ai, LLaMA, Gemma & More (Windows 11)
In this video, I explore the AI capabilities of the NVIDIA RTX 5060 Ti (16GB) installed in a classic Mac Pro 5,1, running under Windows 11. While this machine was never meant for AI workloads, I wanted to see just how far a modern GPU in older hardware can go when paired with today’s popular AI tools and models.
I run a series of tests using:
• Envoke.ai for image generation
• LLaMA, Gemma, DeepSeek, and Qwen for local LLM (large language model) inference
• Various modes and configurations to stress test GPU acceleration
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🧠 What You’ll See:
• RTX 5060 Ti performance with modern AI models
• How well local inference performs on a Mac Pro 5,1
• GPU utilization and system behavior during AI tasks
• Compatibility observations using Windows 11
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💬 Interested in running local AI models or image generation on older hardware? Drop your questions in the comments!
👍 Like & subscribe for more experiments combining legacy machines with modern AI and GPU tech.
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