deepseek-r1:7b

qwen2 · 7.6B · Q4_K_M

THINKING MODEL ECO MODE

Gigabyte Technology Co., Ltd. H170M-D3H (Intel Core™ i5-6500)

16 GB · Ubuntu 24.04.4 LTS

Tested on March 5, 2026
Top 53% Compare
Global Score
66 /100
Good
Hardware Fit
63/100
Quality
67/100

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Hardware

Machine
Gigabyte Technology Co., Ltd. H170M-D3H
CPU
Intel Core™ i5-6500
Cores
4 total (4 perf)
Frequency
3.2 GHz
RAM
16 GB
GPU
GP104 [GeForce GTX 1070]
OS
Ubuntu 24.04.4 LTS
Arch
x64
Power Mode
low-power

Performance

Tokens/sec
35.6
Standard deviation
±0.1
First chunk latency
224 ms
Time to first token
7.5 s
Load time
7.7 s
Memory usage
4.6 GB (29%)
Total tokens
1394
Thinking tokens (est.)
~1041

Score breakdown

Speed
50/50
Time to first token
7/20
Memory
6/30

Quality

Reasoning
16/20
Coding
10/20
Instruction following
9/20
Structured output
10/15
Math
14/15
Multilingual
8/10

Category levels

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

Metadata

Spec version
0.2.1
Runtime
Ollama 0.17.6
Model format
GGUF
Hardware profile
ENTRY
Result hash
cace4b07deac3be49ae34dfa695ed2c4b6e598a329a71ca90d8c961716667c98

Interpretation

Hardware fit: 63/100. Overall suitability: GOOD (Global 66/100). Category profile: Reasoning: Strong, Coding: Adequate, Instruction Following: Weak, Structured Output: Adequate, Math: Strong, Multilingual: Strong.

Warnings

  • System was in low-power mode during this benchmark.

Bench Environment

Thermal: nominal Swap delta: +0.0 GB CPU load: avg 26% (peak 35%)

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