gemma-4-e2b-it@q5_k_xl
LM-STUDIO GGUFgemma4 · Q5_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
qwen3.8-27b-mlx
LM-STUDIO UNKNOWN27B
Aug 17, 2026 · Apple M5 Max
Global Score
79 vs 66
Hardware Fit
81 vs 91
Quality Score
78 vs 55
Hardware
gemma-4-e2b-it@q5_… qwen3.8-27b-mlx
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M5 Max
Cores1618
RAM15 GB64 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M5 Max
OSUbuntu 26.04 LTSmacOS 27.0
Archx64arm64
Power Modeperformancebalanced
Performance
gemma-4-e2b-it@q5_… qwen3.8-27b-mlx
Tokens/sec17.233.2
First chunk7 ms7 ms
TTFT1.6 s311 ms
Load time8.9 sN/A
Memory usage0.0 GB0.5 GB
Memory %0%1%
HW Fit Score Breakdown
gemma-4-e2b-it@q5_k_xl
Speed
32/50
TTFT
19/20
Memory
30/30
qwen3.8-27b-mlx
Speed
41/50
TTFT
20/20
Memory
30/30
Quality
gemma-4-e2b-it@q5_k_xl
Reasoning
11/20
Coding
17/20
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
qwen3.8-27b-mlx
Reasoning
19/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
3/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
Run yours and compare
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npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest