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qwen2-57b:57B

OLLAMA GGUF

qwen2moe · 57.4B · Q4_K_M

Good

Aug 18, 2026 · Intel Core™ Ultra X7 358H

gemma-4-e2b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_K_XL

Excellent

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
67 vs 81
Hardware Fit
51 vs 90
Quality Score
74 vs 77

Hardware

qwen2-57b:57B gemma-4-e2b-it-qat
MachineGMKtec NucBox EVO-T2SDocker Container
CPUIntel Core™ Ultra X7 358HIntel Gen Intel® Core™ i9-11900H
Cores1616
RAM64 GB15 GB
GPUIntel(R) Arc(TM) B390 GPUTigerLake-H GT1 [UHD Graphics]
OSMicrosoft Windows 11 Pro 10.0.26200Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance

Performance

qwen2-57b:57B gemma-4-e2b-it-qat
Tokens/sec8.622.2
First chunk1573 ms67 ms
TTFT1.6 s1.1 s
Load time29.0 s5.4 s
Memory usage32.8 GB0.0 GB
Memory %52%0%

HW Fit Score Breakdown

qwen2-57b:57B

Speed
10/50
TTFT
17/20
Memory
24/30

gemma-4-e2b-it-qat

Speed
40/50
TTFT
20/20
Memory
30/30

Quality

qwen2-57b:57B

Reasoning
13/20
Coding
14/20
Instruction
15/20
Structured
14/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

gemma-4-e2b-it-qat

Reasoning
10/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen2-57b:57B details | View gemma-4-e2b-it-qat details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest