google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · 7.9B · Q4_K_M
Sep 20, 2026 · AMD Ryzen 9 8940HX
qwen2.5vl:7b
OLLAMA GGUFqwen25vl · 8.3B · Q4_K_M
Sep 15, 2026 · Intel Core™ i5-14400F
Global Score
83 vs 83
Hardware Fit
96 vs 100
Quality Score
78 vs 75
Hardware
google/gemma-4-e4b qwen2.5vl:7b
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUAMD Ryzen 9 8940HXIntel Core™ i5-14400F
Cores3216
RAM15 GB32 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MNVIDIA GeForce RTX 5060 Ti
OSMicrosoft Windows 11 Home Single Language 10.0.26200Microsoft Windows 11 Professionnel 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
google/gemma-4-e4b qwen2.5vl:7b
Tokens/sec35.973.9
First chunk9 ms53 ms
TTFT182 ms53 ms
Load timeN/A5.3 s
Memory usage6.5 GB5.1 GB
Memory %43%16%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
49/50
TTFT
20/20
Memory
27/30
qwen2.5vl:7b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
google/gemma-4-e4b
Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
qwen2.5vl:7b
Reasoning
16/20
Coding
14/20
Instruction
11/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
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npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest