google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

glm4:9b

OLLAMA GGUF

chatglm · 9.4B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score

59 vs 76

Hardware Fit

62 vs 88

Quality Score

58 vs 71

Hardware

google/gemma-4-e4b glm4:9b

MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMMacBook Air

CPUAMD Ryzen 7 4800HApple M4

Cores1610

RAM15 GB32 GB

GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUApple M4

OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

google/gemma-4-e4b glm4:9b

Tokens/sec7.119.0

First chunk41 ms290 ms

TTFT1.2 s290 ms

Load time71.7 s0.8 s

Memory usage0.9 GB8.1 GB

Memory %6%25%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed

12/50

TTFT

20/20

Memory

30/30

glm4:9b

Speed

38/50

TTFT

20/20

Memory

30/30

Quality

google/gemma-4-e4b

Reasoning

6/20

Coding

14/20

Instruction

12/20

Structured

15/15

Math

3/15

Multilingual

8/10

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

glm4:9b

Reasoning

14/20

Coding

15/20

Instruction

14/20

Structured

13/15

Math

5/15

Multilingual

10/10

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

View google/gemma-4-e4b details | View glm4:9b details

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$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest