gemma-2-2b-it

LM-STUDIO GGUF

gemma2 · 2B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score

58 vs 89

Hardware Fit

50 vs 95

Quality Score

62 vs 87

Hardware

gemma-2-2b-it qwen/qwen3-8b

MachineLENOVO 20BUS00700Mac mini

CPUIntel Core™ i5-5300UApple M4 Pro

Cores414

RAM16 GB64 GB

GPUIntel(R) HD Graphics 5500Apple M4 Pro

OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 15.7.4

Archx64arm64

Power Modebalancedbalanced

Performance

gemma-2-2b-it qwen/qwen3-8b

Tokens/sec3.633.4

First chunk4509 ms257 ms

TTFT4.5 s257 ms

Load timeN/AN/A

Memory usage1.6 GB4.3 GB

Memory %10%7%

HW Fit Score Breakdown

gemma-2-2b-it

Speed

14/50

TTFT

12/20

Memory

24/30

qwen/qwen3-8b

Speed

45/50

TTFT

20/20

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

qwen/qwen3-8b

Reasoning

19/20

Coding

14/20

Instruction

16/20

Structured

15/15

Math

13/15

Multilingual

10/10

Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

View gemma-2-2b-it details | View qwen/qwen3-8b details

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