qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

bloomz-560m

LM-STUDIO GGUF

bloom · 560M · Q4_K_M

Not Rec.

Mar 8, 2026 · Intel Core™ i5-5300U

Global Score

89 vs 30

Hardware Fit

95 vs 85

Quality Score

87 vs 7

Hardware

qwen/qwen3-8b bloomz-560m

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 bloomz-560m

Tokens/sec33.412.2

First chunk257 ms1167 ms

TTFT257 ms1.2 s

Load timeN/AN/A

Memory usage4.3 GB0.5 GB

Memory %7%3%

HW Fit Score Breakdown

qwen/qwen3-8b

Speed

45/50

TTFT

20/20

Memory

30/30

bloomz-560m

Speed

38/50

TTFT

20/20

Memory

27/30

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

bloomz-560m

Reasoning

4/20

Coding

0/20

Instruction

2/20

Structured

0/15

Math

0/15

Multilingual

1/10

Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

View qwen/qwen3-8b details | View bloomz-560m 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