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gemma-4-E2B-it · IQ4_XS
AMD Strix Point (Radeon 890M)llama.cpp v0.28L2 Cross-framework verified
This page aggregates 1 real-world runs of gemma-4-E2B-it (IQ4_XS) on AMD Strix Point (Radeon 890M) with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.
106.04 tok/s
Decode
Decode speed
563.55 tok/s
Prefill
Prefill speed
0.58 s
TTFT
Time to first token
5.21 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
2 days ago
Last verified
Performance
- llama.cpp · IQ1_S Decode 145.7 · Prefill 692.08 ·
- llama.cpp · IQ4_XS (current)Decode 106.04 · Prefill 563.55 ·
- Ollama · FP16 Decode 47.28 · Prefill 250.08 ·
- Ollama · Q8_0 Decode 57.25 · Prefill 264.02 ·
Core figures
- Decode (avg)
- 106.04 tok/s
- Prefill (avg)
- 563.55 tok/s
- TTFT (avg)
- 0.58 s
- VRAM (avg)
- 5.21 GB
- MTP acceptance rate
- —
- TTFB
- 0.85 GB
- Power draw
- 65 W
Configuration
Member-level fields are taken from the most recent run
- Model
- gemma-4-E2B-it
- Quantization
- IQ4_XS
- Framework
- llama.cpp
- Version
- v0.28
- Context length
- 16384 tokens
- Batch size
- 512
- GPU layers
- 99
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- AMD Strix Point (Radeon 890M)
- Measured VRAM (avg)
- 5.21 GB
- OS
- Ubuntu 22.04
- Driver
- 570.86
- CUDA
- N/A
- Power draw
- 65 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.28 · Ubuntu 22.04 · CUDA N/A · 16384 ctx
106.04 tok/s
Decode
563.55 tok/s
Prefill
0.58 s
TTFT
5.21 GB
VRAM
—
MTP
65 W
Power draw
L2 batch seed 2026-10-16: llama.cpp on hw_id=89 running model_id=66 at IQ4_XS