Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Oct 31, 2026 · AMD RYZEN AI MAX+ 395

granite3.1-dense:2b

OLLAMA GGUF

granite · 2.5B · Q4_K_M

Good

Mar 2, 2026 · Apple M4

Global Score
81 vs 68
Hardware Fit
84 vs 100
Quality Score
79 vs 54

Hardware

google/gemma-4-e4b granite3.1-dense:2b
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:2b
Tokens/sec47.354.6
First chunk23 msN/A
TTFT1.9 s121 ms
Load timeN/A0.4 s
Memory usage13.2 GB5.6 GB
Memory %11%18%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
44/50
TTFT
10/20
Memory
30/30

granite3.1-dense:2b

Speed
40/50
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:2b

Reasoning
8/20
Coding
9/20
Instruction
13/20
Structured
14/15
Math
3/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
View google/gemma-4-e4b details | View granite3.1-dense:2b 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