qwen2-57b:57B

qwen2moe · 57.4B · Q4_K_M

GMKtec NucBox EVO-T2S (Intel Core™ Ultra X7 358H)

64 GB · Microsoft Windows 11 Pro 10.0.26200

Tested on August 18, 2026 · Submitted by Haval

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Global Score

67 /100

Good

Hardware Fit

51/100

Quality

74/100

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ollama pull qwen2-57b:57B

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GGUF versions & quantizations

Hardware

Machine: GMKtec NucBox EVO-T2S
CPU: Intel Core™ Ultra X7 358H
Cores: 16 total (16 perf)
Frequency: 1.9 GHz
RAM: 64 GB LPDDR5
GPU: Intel(R) Arc(TM) B390 GPU
OS: Microsoft Windows 11 Pro 10.0.26200
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 8.6
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 1.6 s
Time to first token How fast the model starts responding — lower is better: 1.6 s
Load time Time to load the model into memory before inference: 29.0 s
Memory usage RAM consumed during inference — percentage of total system memory: 32.8 GB (52%)
Total tokens Total number of tokens generated across all benchmark prompts: 948

Score breakdown

Speed

10/50

Time to first token

17/20

Memory

24/30

Quality

Reasoning

13/20

Coding

14/20

Instruction following

15/20

Structured output

14/15

Math

8/15

Multilingual

10/10

Category levels

Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.9
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 0fac57a37818d0f252e2038b70a80f95f587ae544be2167a363dd6336dbbd8fa

Interpretation

Hardware fit: 51/100. Overall suitability: GOOD (Global 67/100). Category profile: Reasoning: Adequate, Coding: Adequate, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

CPU load: avg 50% (peak 51%)

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