Qwen3-80B:80B

qwen3next · 79.7B · Q4_K_M

HP HyperX OMEN Gaming Laptop 16-ap1xxx (AMD Ryzen 9 9955HX3D 16-Core Processor)

31 GB · Microsoft Windows 11 Home 10.0.26200

Tested on August 19, 2026

Top 76% Compare

Global Score

62 /100

Not Rec.

Hardware Fit

10/100

Quality

84/100

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ollama pull Qwen3-80B:80B

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ollama.com/library/Qwen3-80B

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GGUF versions & quantizations

Hardware

Machine: HP HyperX OMEN Gaming Laptop 16-ap1xxx
CPU: AMD Ryzen 9 9955HX3D 16-Core Processor
Cores: 32 total (32 perf)
Frequency: 2.5 GHz
RAM: 31 GB DDR5
GPU: AMD Radeon(TM) 610M, NVIDIA GeForce RTX 5070 Laptop GPU
OS: Microsoft Windows 11 Home 10.0.26200
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 4.9
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±3.8
First chunk latency Delay before the first streamed chunk arrives from runtime: 8.0 s
Time to first token How fast the model starts responding — lower is better: 8.0 s
Load time Time to load the model into memory before inference: 63.7 s
Memory usage RAM consumed during inference — percentage of total system memory: 47.3 GB (153%)
Total tokens Total number of tokens generated across all benchmark prompts: 964

Score breakdown

Speed

6/50

Time to first token

4/20

Memory

0/30

Quality

Reasoning

17/20

Coding

19/20

Instruction following

13/20

Structured output

13/15

Math

12/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.14
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 901ab77ccb3304cfb863d4374f9ea338582d27967b4b1bf15e70a06348f97c28

Interpretation

Hardware fit: 10/100. Overall suitability: NOT RECOMMENDED (Global 62/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Warnings

Token speed is unstable (stddev 3.8 tok/s, mean 4.9 tok/s) — may indicate thermal throttling or memory pressure.
Significant swap activity during benchmark (+29.4 GB). Model may exceed available RAM — results are severely degraded.

Disqualifiers

Token speed too low: 4.9 tok/s (minimum: 6 tok/s for HIGH-END profile)
Memory usage critical: model delta +153%

Bench Environment

Thermal: nominal Power: AC Swap delta: +29.4 GB CPU load: avg 24% (peak 31%)

Run yours now

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest