google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · Q4_K_M
Jul 7, 2026 · AMD Ryzen 7 5800H
tinyllama-1.1b-chat-v1.0
LM-STUDIO GGUFllama · 1.1B · Q3_K_M
Mar 5, 2026 · Intel Core™ i5-5300U
Global Score
68 vs 33
Hardware Fit
93 vs 76
Quality Score
57 vs 14
Hardware
google/gemma-4-e4b tinyllama-1.1b-cha…
MachineLENOVO 82JQLENOVO 20BUS00700
CPUAMD Ryzen 7 5800HIntel Core™ i5-5300U
Cores164
RAM16 GB16 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUIntel(R) HD Graphics 5500
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Microsoft Windows 10 Professionnel 10.0.19045
Archx64x64
Power Modebalancedbalanced
Performance
google/gemma-4-e4b tinyllama-1.1b-cha…
Tokens/sec26.29.9
First chunk17 ms3166 ms
TTFT572 ms3.2 s
Load timeN/AN/A
Memory usage6.5 GB0.5 GB
Memory %41%3%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
46/50
TTFT
20/20
Memory
27/30
tinyllama-1.1b-chat-v1.0
Speed
32/50
TTFT
16/20
Memory
28/30
Quality
google/gemma-4-e4b
Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor
tinyllama-1.1b-chat-v1.0
Reasoning
2/20
Coding
1/20
Instruction
6/20
Structured
2/15
Math
1/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
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