Back to leaderboard

gemma-2-2b-it

LM-STUDIO GGUF

gemma2 · 2B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

qwen3.5-2b-mlx

LM-STUDIO MLX

qwen3_5 · 2B · 8bit

Good

Mar 3, 2026 · Apple M4

Global Score
58 vs 70
Hardware Fit
50 vs 93
Quality Score
62 vs 60

Hardware

gemma-2-2b-it qwen3.5-2b-mlx
MachineLENOVO 20BUS00700MacBook Air
CPUIntel Core™ i5-5300UApple M4
Cores410
RAM16 GB32 GB
GPUIntel(R) HD Graphics 5500Apple M4
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

gemma-2-2b-it qwen3.5-2b-mlx
Tokens/sec3.632.9
First chunk4509 ms3096 ms
TTFT4.5 s3.1 s
Load timeN/AN/A
Memory usage1.6 GB2.5 GB
Memory %10%8%

HW Fit Score Breakdown

gemma-2-2b-it

Speed
14/50
TTFT
12/20
Memory
24/30

qwen3.5-2b-mlx

Speed
50/50
TTFT
13/20
Memory
30/30

Quality

gemma-2-2b-it

Reasoning
11/20
Coding
8/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

qwen3.5-2b-mlx

Reasoning
11/20
Coding
9/20
Instruction
14/20
Structured
14/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest