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A speed test of GPT-6.1 shows 4 runs of the same coding task completing in 10.3s to 15.7s, with the follow-up noting 3 of 4 requests are back at launch-day speeds.
The article presents a benchmark created to compare various AI model and harness combinations based on their capability and speed for tasks like math, vision, and coding, listing top performers in both categories.
A tweet asking about the speed of an unspecified system, with the author sharing their personal best performance of 1.6 meters per second.
A developer reports achieving 92.32% accuracy on the MNIST dataset in 17.6 seconds using a binary XNOR ensemble model on an AMD Ryzen CPU, demonstrating significant speed improvements over traditional floating-point CNNs.
Speed test results for GLM-5.2 running on llama.cpp with RTX 5090 and RTX 3090 Ti, showing prefill speeds up to 579 t/s at 8k context and decode at ~10.6 t/s.