qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

gemma-2-2b-it

LM-STUDIO GGUF

gemma2 · 2B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score

89 vs 58

Hardware Fit

95 vs 50

Quality Score

87 vs 62

Hardware

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

MachineMac miniLENOVO 20BUS00700

CPUApple M4 ProIntel Core™ i5-5300U

Cores144

RAM64 GB16 GB

GPUApple M4 ProIntel(R) HD Graphics 5500

OSmacOS 15.7.4Microsoft Windows 10 Professionnel 10.0.19045

Archarm64x64

Power Modebalancedbalanced

Performance

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

Tokens/sec33.43.6

First chunk257 ms4509 ms

TTFT257 ms4.5 s

Load timeN/AN/A

Memory usage4.3 GB1.6 GB

Memory %7%10%

HW Fit Score Breakdown

qwen/qwen3-8b

Speed

45/50

TTFT

20/20

Memory

30/30

gemma-2-2b-it

Speed

14/50

TTFT

12/20

Memory

24/30

Quality

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

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

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