llama3.1:8b

llama · 8.0B · Q4_K_M

Gigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4 (Intel Core™ i5-14400F)

32 GB · Microsoft Windows 11 Professionnel 10.0.26200

Tested on September 15, 2026 · Submitted by ichido

Top 38% Compare

Global Score

81 /100

Excellent

Hardware Fit

100/100

Quality

73/100

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ollama pull llama3.1:8b

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ollama.com/library/llama3.1

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GGUF versions & quantizations

Hardware

Machine: Gigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPU: Intel Core™ i5-14400F
Cores: 16 total (16 perf)
Frequency: 2.5 GHz
RAM: 32 GB DDR4
GPU: NVIDIA GeForce RTX 5060 Ti
OS: Microsoft Windows 11 Professionnel 10.0.26200
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 70.2
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.4
First chunk latency Delay before the first streamed chunk arrives from runtime: 58 ms
Time to first token How fast the model starts responding — lower is better: 58 ms
Load time Time to load the model into memory before inference: 4.1 s
Memory usage RAM consumed during inference — percentage of total system memory: 4.9 GB (15%)
Total tokens Total number of tokens generated across all benchmark prompts: 1019

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

12/20

Coding

18/20

Instruction following

15/20

Structured output

13/15

Math

5/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.34.0
Model format: GGUF
Hardware profile: BALANCED
Result hash: ffe2b2680b956d68dddd3cbe8fa705012c4ef43442a0fc9526eeeaa49861cabe

Interpretation

Hardware fit: 100/100. Overall suitability: EXCELLENT (Global 81/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Weak, Multilingual: Strong.

Bench Environment

CPU load: avg 25% (peak 66%)

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