google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · 7.9B · Q4_K_M
Sep 20, 2026 · AMD Ryzen 9 8940HX
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
Global Score
83 vs 84
Hardware Fit
96 vs 97
Quality Score
78 vs 79
Hardware
google/gemma-4-e4b qwen3:8b
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHASUS
CPUAMD Ryzen 9 8940HXIntel Core™ Ultra 9 285K
Cores3224
RAM15 GB47 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MNVIDIA GeForce RTX 5090, Intel(R) Graphics
OSMicrosoft Windows 11 Home Single Language 10.0.26200Microsoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
google/gemma-4-e4b qwen3:8b
Tokens/sec35.9208.0
First chunk9 ms82 ms
TTFT182 ms1.3 s
Load timeN/A1.5 s
Memory usage6.5 GB9.6 GB
Memory %43%20%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
49/50
TTFT
20/20
Memory
27/30
qwen3:8b
Speed
50/50
TTFT
18/20
Memory
29/30
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
qwen3:8b
Reasoning
18/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Strong 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