qwen2-57b:57B

qwen2moe · 57.4B · Q4_K_M

HP OMEN 35L VALORANT Limited Edition Gaming Desktop PC (Intel Core™ i7-14700F)

64 GB · Microsoft Windows 11 Enterprise 10.0.26200

Tested on August 18, 2026

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Global Score

69 /100

Good

Hardware Fit

51/100

Quality

76/100

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ollama pull qwen2-57b:57B

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GGUF versions & quantizations

Hardware

Machine: HP OMEN 35L VALORANT Limited Edition Gaming Desktop PC
CPU: Intel Core™ i7-14700F
Cores: 28 total (28 perf)
Frequency: 2.1 GHz
RAM: 64 GB DDR5
GPU: NVIDIA GeForce RTX 5080
OS: Microsoft Windows 11 Enterprise 10.0.26200
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 7.7
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.0
First chunk latency Delay before the first streamed chunk arrives from runtime: 940 ms
Time to first token How fast the model starts responding — lower is better: 940 ms
Load time Time to load the model into memory before inference: 0.2 s
Memory usage RAM consumed during inference — percentage of total system memory: 33.3 GB (52%)
Total tokens Total number of tokens generated across all benchmark prompts: 917

Score breakdown

Speed

8/50

Time to first token

19/20

Memory

24/30

Quality

Reasoning

14/20

Coding

15/20

Instruction following

14/20

Structured output

15/15

Math

8/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.14
Model format: GGUF
Hardware profile: HIGH-END
Result hash: f978e16271d40a02b72412fd7a405ce657f1dcd75932e30e0f00998303667be5

Interpretation

Hardware fit: 51/100. Overall suitability: GOOD (Global 69/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

CPU load: avg 47% (peak 56%)

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