llamaperf

NVIDIA RTX 3060 12GB reports

65 reports. These are individual setups, not a controlled benchmark. NVIDIA RTX 3060 12GB speeds and models →

Qwen3.6 27B

2× NVIDIA RTX 3060 12GB · llama.cpp · 64,000 ctx

Tone: positiveNVIDIA hardware
generation:
43.3 tokens/s
prompt processing (prefill):
456.1 tokens/s
quant:
Q4_K_S (GGUF)

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is input throughput, not time to first token. Check the full setup before comparing.

User reports 43.26 t/s generation and 456 t/s prefill at 12k context on dual RTX 3060 cards. Setup is tensor parallel with MTP enabled and 64k context. Without MTP at 96k context, generation is 31 t/s. User praises the value and stability of CUDA.

May 27, 2026

Qwen3.6 27B

NVIDIA RTX 3060 12GB · llama.cpp · 32,000 ctx

Tone: positiveNVIDIA hardware
generation:
70.0 tokens/s
prompt processing (prefill):
780.0 tokens/s
quant:
Q2-XS (GGUF)
kv:
Q8
flash attention:
off
rating:
4/5

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is input throughput, not time to first token. Check the full setup before comparing.

codingcreative-writingtool-usesummarizationvisionagenticmultilingual

User reports a dense model at 11.9 GB GGUF size, barely offloading to CPU. The user wants to try a higher quant, having chosen this one because of the 11.9 GB GGUF size.

May 12, 2026
Tone: positiveNVIDIA hardware
generation:
46.8 tokens/s
prompt processing (prefill):
914.0 tokens/s
quant:
IQ4_XS (GGUF)
kv:
Q8
flash attention:
on

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is input throughput, not time to first token. Check the full setup before comparing.

coding

User reports llama-bench results of about 914 t/s for pp512 and about 46.8 t/s for tg128. A practical coding profile at 32k context generates at about 43.4 t/s. MTP gave about 47.7 t/s, a 2% improvement.

May 9, 2026
Tone: positiveNVIDIA hardware
generation:
60.0 tokens/s
quant:
Q4_K_M (GGUF)

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is shown only when the source reports it; generation speed cannot tell us time to first token. Check the full setup before comparing.

text-generation

User reports E2B at about 60 t/s on an RTX 3060 12GB. The figure is estimated from compute-market tiers rather than measured.

May 1, 2026
Tone: positiveNVIDIA hardware
generation:
45.0 tokens/s
quant:
Q4_K_M (GGUF)

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is shown only when the source reports it; generation speed cannot tell us time to first token. Check the full setup before comparing.

text-generation

User reports about 45 t/s on an RTX 3060 12GB. The E4B model fits easily.

May 1, 2026