llamaperf

Mistral 7B

on NVIDIA RTX 4090 · TensorRT-LLM

NVIDIA hardware
Oct 7, 2026
Throughput
170.6 t/s gen
Quant
AWQ INT4 (AWQ)
System RAM
32 GB
VRAM reported
24 GB

Summary

User benchmarks Mistral 7B at 170.63 t/s on an RTX 4090 with TensorRT-LLM, compared to 100.43 t/s with llama.cpp. Setup is TensorRT-LLM 0.7.1 with AWQ INT4 quantization, batch size 1, input length 2048, output length 512, on a single RTX 4090 with 32GB system RAM. TensorRT-LLM was 69.89% faster than llama.cpp on the same hardware. The post also reports results for RTX 3090 (144.19 t/s), RTX 4070 Laptop (51.57 t/s), and RTX 4090 eGPU (104.95 t/s).