Configs › gemma-4-E4B-it on RTX 5090: 219.9 tok/s measured

gemma-4-E4B-it on RTX 5090: 219.9 tok/s measured

Measured gemma-4-E4B-it speeds: 219.9 tok/s on RTX 5090 (Q4_1, llama.cpp/cuda). 17 configs, each linked to its source, snapshot 2026-10-15.

Snapshot 2026-10-15 · 394 configs on AI boxes and 423 on GPU cards · 123 models. Every number is generated from the tracker snapshot and linked to where it was measured; nothing here is typed by hand.

Quick answers

How fast is gemma-4-E4B-it on RTX 5090?: 219.9 tok/s single-stream decode (Q4_1, llama.cpp/cuda), the fastest of 17 measured configs on NVIDIA RTX 5090 (32GB), measured by paulplee, source last checked 2026-10-15. source

gemma-4-E4B-it on GPU cards, ranked on their own

GPU cards run the model from their own VRAM: very fast on what fits, but most cannot load what a 128 GB AI box can. Ranked on their own, never against the boxes.

Model	Hardware	Quant	Backend	Decode	Context	Trust	Source
gemma-4-E4B-it	RTX 5090	Q4_1	llama.cpp/cuda	219.9 tok/s	8192	Structured table	source
gemma-4-E4B-it	RTX 5090	UD-IQ3_XXS	llama.cpp/cuda	219 tok/s	8192	Structured table	source
gemma-4-E4B-it	RTX 5090	Q4_K_S	llama.cpp/cuda	217.3 tok/s	8192	Structured table	source
gemma-4-E4B-it	RTX 5090	IQ4_NL	llama.cpp/cuda	217.3 tok/s	8192	Structured table	source
gemma-4-E4B-it	RTX 5090	Q4_K_M	llama.cpp/cuda	212.6 tok/s	8192	Structured table	source
gemma-4-E4B-it	RTX 5090	UD-Q4_K_XL	llama.cpp/cuda	209.5 tok/s	8192	Structured table	source
gemma-4-E4B-it	RTX 5090	UD-Q3_K_XL	llama.cpp/cuda	201.9 tok/s	8192	Structured table	source
gemma-4-E4B-it	RTX 5090	Q5_K_S	llama.cpp/cuda	200.2 tok/s	8192	Structured table	source
gemma-4-E4B-it	RTX 5090	Q5_K_M	llama.cpp/cuda	198.6 tok/s	8192	Structured table	source
gemma-4-E4B-it	RTX 5090	Q3_K_M	llama.cpp/cuda	196.6 tok/s	8192	Structured table	source
gemma-4-E4B-it	RTX 5090	UD-Q5_K_XL	llama.cpp/cuda	196.4 tok/s	8192	Structured table	source
gemma-4-E4B-it	RTX 5090	Q6_K	llama.cpp/cuda	189.3 tok/s	8192	Structured table	source
gemma-4-E4B-it	RTX 5090	Q3_K_S	llama.cpp/cuda	189.1 tok/s	8192	Structured table	source
gemma-4-E4B-it	RTX 5090	UD-Q6_K_XL	llama.cpp/cuda	181.6 tok/s	8192	Structured table	source
gemma-4-E4B-it	RTX 5090	Q8_0	llama.cpp/cuda	170.9 tok/s	8192	Structured table	source
gemma-4-E4B-it	RTX 5090	UD-Q8_K_XL	llama.cpp/cuda	164.7 tok/s	8192	Structured table	source
gemma-4-E4B-it	RTX 5090	BF16	llama.cpp/cuda	121.2 tok/s	8192	Structured table	source

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