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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Nov 1, 2026 · AMD RYZEN AI MAX+ 395

granite3.1-dense:8b

OLLAMA GGUF

granite · 8.2B · Q4_K_M

Good

Mar 1, 2026 · Apple M4

Global Score
80 vs 74
Hardware Fit
83 vs 91
Quality Score
79 vs 66

Hardware

google/gemma-4-e4b granite3.1-dense:8b
MachineGMKtec EVO-X3MacBook Air
CPUAMD RYZEN AI MAX+ 395Apple M4
Cores3210
RAM120 GB32 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M4
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b granite3.1-dense:8b
Tokens/sec46.518.8
First chunk14 msN/A
TTFT1.9 s308 ms
Load time7.6 s0.6 s
Memory usage0.0 GB13.0 GB
Memory %0%41%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
43/50
TTFT
10/20
Memory
30/30

granite3.1-dense:8b

Speed
31/50
TTFT
30/20
Memory
30/30

Quality

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

granite3.1-dense:8b

Reasoning
12/20
Coding
11/20
Instruction
15/20
Structured
14/15
Math
5/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View google/gemma-4-e4b details | View granite3.1-dense: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