google/gemma-4-e4b-it-qat
LM-STUDIO GGUFgemma4 · Q4_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
qwen3.5-9b@q5_k_xl
LM-STUDIO GGUFqwen35 · 9B · Q5_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
78 vs 73
Hardware Fit
68 vs 47
Quality Score
82 vs 84
Hardware
google/gemma-4-e4b… qwen3.5-9b@q5_k_xl
MachineDocker ContainerDocker Container
CPUIntel Gen Intel® Core™ i9-11900HIntel Gen Intel® Core™ i9-11900H
Cores1616
RAM15 GB15 GB
GPUTigerLake-H GT1 [UHD Graphics]TigerLake-H GT1 [UHD Graphics]
OSUbuntu 26.04 LTSUbuntu 26.04 LTS
Archx64x64
Power Modeperformanceperformance
Performance
google/gemma-4-e4b… qwen3.5-9b@q5_k_xl
Tokens/sec11.45.6
First chunk26 ms19 ms
TTFT2.2 s5.6 s
Load time5.9 s12.5 s
Memory usage0.0 GB0.0 GB
Memory %0%0%
HW Fit Score Breakdown
google/gemma-4-e4b-it-qat
Speed
21/50
TTFT
17/20
Memory
30/30
qwen3.5-9b@q5_k_xl
Speed
10/50
TTFT
7/20
Memory
30/30
Quality
google/gemma-4-e4b-it-qat
Reasoning
14/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
qwen3.5-9b@q5_k_xl
Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest