gemma-4-E4B-it · IQ2_M
This page aggregates 1 real-world runs of gemma-4-E4B-it (IQ2_M) on NVIDIA RTX Spark with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.
116.68 tok/s
Decode
Decode speed
432.72 tok/s
Prefill
Prefill speed
0.75 s
TTFT
Time to first token
10.84 GB
VRAM
VRAM usage
1
Measured runs
1
Independent sources
Other
Source platforms
12 days ago
Last verified
Performance
- llama.cpp · IQ3_S Decode 105.34 · Prefill 354.91 ·
- Ollama · IQ2_M (current)Decode 116.68 · Prefill 432.72 ·
Core figures
- Decode (avg)
- 116.68 tok/s
- Prefill (avg)
- 432.72 tok/s
- TTFT (avg)
- 0.75 s
- VRAM (avg)
- 10.84 GB
- MTP acceptance rate
- —
- TTFB
- 0.93 GB
- Power draw
- 54.2 W
Configuration
Member-level fields are taken from the most recent run
- Model
- gemma-4-E4B-it
- Quantization
- IQ2_M
- Framework
- Ollama
- Version
- v0.25
- Context length
- 8192 tokens
- Batch size
- 512
- GPU layers
- 28
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- NVIDIA RTX Spark
- Nominal VRAM
- 128 GB
- Measured VRAM (avg)
- 10.84 GB
- OS
- Ubuntu 24.04
- Driver
- 615.78
- CUDA
- 13.0
- Power draw
- 54.2 W
- Reference price
- $2,399 · updated 2026-10-19
Prices are not live; check the store page
Sources & evidence
1 measured records in total, each traceable to its original source
v0.25 · Ubuntu 24.04 · CUDA 13.0 · 8192 ctx
116.68 tok/s
Decode
432.72 tok/s
Prefill
0.75 s
TTFT
10.84 GB
VRAM
—
MTP
54.2 W
Power draw
L2 batch seed 2026-10-24: Ollama on hw_id=110 running model_id=67 at IQ2_M