unsloth/gemma-4-e2b-it@q8_0
LM-STUDIO GGUFgemma4 · Q8_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
qwen3.5-9b-mlx
LM-STUDIO MLXqwen3_5 · 9B · 4bit
Mar 11, 2026 · Apple M4
Global Score
75 vs 59
Hardware Fit
74 vs 65
Quality Score
76 vs 57
Hardware
unsloth/gemma-4-e2… qwen3.5-9b-mlx
MachineDocker ContainerMac mini
CPUIntel Gen Intel® Core™ i9-11900HApple M4
Cores1610
RAM15 GB24 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4
OSUbuntu 26.04 LTSmacOS 26.3
Archx64arm64
Power Modeperformancebalanced
Performance
unsloth/gemma-4-e2… qwen3.5-9b-mlx
Tokens/sec13.014.3
First chunk62 ms24 ms
TTFT1.5 s13.4 s
Load time7.8 s13.3 s
Memory usage0.0 GB2.5 GB
Memory %0%10%
HW Fit Score Breakdown
unsloth/gemma-4-e2b-it@…
Speed
24/50
TTFT
20/20
Memory
30/30
qwen3.5-9b-mlx
Speed
32/50
TTFT
3/20
Memory
30/30
Quality
unsloth/gemma-4-e2b-it@…
Reasoning
11/20
Coding
16/20
Instruction
16/20
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-mlx
Reasoning
10/20
Coding
17/20
Instruction
5/20
Structured
9/15
Math
11/15
Multilingual
5/10
Reasoning: Weak Coding: Strong Instruction Following: Weak Structured Output: Adequate Math: Adequate Multilingual: Adequate
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