Back to search results
gemma-4-26B-A4B-it · IQ2_XS
AMD Ryzen AI Max+ 395128GBllama.cpp v0.21L2 Cross-framework verified
This page aggregates 1 real-world runs of gemma-4-26B-A4B-it (IQ2_XS) on AMD Ryzen AI Max+ 395 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.
92.57 tok/s
Decode
Decode speed
496.15 tok/s
Prefill
Prefill speed
1.77 s
TTFT
Time to first token
28.31 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
5 days ago
Last verified
Performance
- llama.cpp · IQ2_XS (current)Decode 92.57 · Prefill 496.15 ·
- llama.cpp · IQ3_XS Decode 81.12 · Prefill 341.45 ·
- Ollama · IQ3_XS Decode 79.36 · Prefill 408.93 ·
Core figures
- Decode (avg)
- 92.57 tok/s
- Prefill (avg)
- 496.15 tok/s
- TTFT (avg)
- 1.77 s
- VRAM (avg)
- 28.31 GB
- MTP acceptance rate
- —
- TTFB
- 0.74 GB
- Power draw
- 125 W
Configuration
Member-level fields are taken from the most recent run
- Model
- gemma-4-26B-A4B-it
- Quantization
- IQ2_XS
- Framework
- llama.cpp
- Version
- v0.21
- Context length
- 16384 tokens
- Batch size
- 256
- GPU layers
- 20
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- AMD Ryzen AI Max+ 395
- Nominal VRAM
- 128 GB
- Measured VRAM (avg)
- 28.31 GB
- OS
- Windows 11 23H2
- Driver
- AMD Adrenalin 25.10.1
- CUDA
- N/A
- Power draw
- 125 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.21 · Windows 11 23H2 · CUDA N/A · 16384 ctx
92.57 tok/s
Decode
496.15 tok/s
Prefill
1.77 s
TTFT
28.31 GB
VRAM
—
MTP
125 W
Power draw
L2 batch seed 2026-10-13: llama.cpp on hw_id=24 running model_id=64 at IQ2_XS