Update README.md

README.md

@@ -126,12 +126,6 @@ Supervised speech instruction finetuning via knowledge-distillation. For more in
 - **Training regime:** BF16 mixed precision training
 - **Hardware used:** 8x H100 GPUs
 
-#### Speeds, Sizes, Times
-
-The current version of Ultravox, when invoked with audio content, has a time-to-first-token (TTFT) of approximately 150ms, and a tokens-per-second rate of ~50-100 when using an A100-40GB GPU, all using a text-based LLM (Llama, Gemma, or Qwen) backbone.
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-Check out the audio tab on [TheFastest.ai](https://thefastest.ai/?m=audio) for daily benchmarks and a comparison with other existing models.
-
 ## Evaluation
 
 Evaluations are conducted on covost2 (speech translation measured in BLEU), fleurs and ultravox_calls (speech recognition measured in WER), big bench audio (audio reasoning measured in accuracy), as well as musan and ultravox_unintelligible (noise/unintelligible speech detection measured in recall).