google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · 7.9B · Q4_K_M
Oct 31, 2026 · AMD RYZEN AI MAX+ 395
codestral:latest
OLLAMA GGUFllama · 22.2B · Q4_0
Sep 15, 2026 · Intel Core™ i5-14400F
Global Score
81 vs 76
Hardware Fit
84 vs 91
Quality Score
79 vs 69
Hardware
google/gemma-4-e4b codestral:latest
MachineGMKtec EVO-X3Gigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUAMD RYZEN AI MAX+ 395Intel Core™ i5-14400F
Cores3216
RAM120 GB32 GB
GPUAMD Radeon(TM) 8060S GraphicsNVIDIA GeForce RTX 5060 Ti
OSMicrosoft Windows 11 Pro 10.0.26300Microsoft Windows 11 Professionnel 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
google/gemma-4-e4b codestral:latest
Tokens/sec47.327.4
First chunk23 ms86 ms
TTFT1.9 s86 ms
Load timeN/A7.2 s
Memory usage13.2 GB12.6 GB
Memory %11%40%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
44/50
TTFT
10/20
Memory
30/30
codestral:latest
Speed
43/50
TTFT
20/20
Memory
28/30
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
codestral:latest
Reasoning
11/20
Coding
17/20
Instruction
11/20
Structured
13/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest