google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · Q4_K_M
Jul 7, 2026 · AMD Ryzen 7 5800H
Qwen3-80B:80B
OLLAMA GGUFqwen3next · 79.7B · Q4_K_M
Aug 24, 2026 · Intel Core™ Ultra X7 358H
Global Score
62 vs 82
Hardware Fit
77 vs 59
Quality Score
55 vs 92
Hardware
google/gemma-4-e4b Qwen3-80B:80B
MachineLENOVO 82JQGMKtec NucBox EVO-T2S
CPUAMD Ryzen 7 5800HIntel Core™ Ultra X7 358H
Cores1616
RAM16 GB64 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUIntel(R) Arc(TM) B390 GPU
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Microsoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
google/gemma-4-e4b Qwen3-80B:80B
Tokens/sec27.619.6
First chunk23 ms823 ms
TTFT480 ms823 ms
Load timeN/A41.6 s
Memory usage13.2 GB46.9 GB
Memory %83%74%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
48/50
TTFT
20/20
Memory
9/30
Qwen3-80B:80B
Speed
26/50
TTFT
20/20
Memory
13/30
Quality
google/gemma-4-e4b
Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
Qwen3-80B:80B
Reasoning
18/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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