opencoder-1.5b-instruct

llama · 1.5B · Q4_K_M

LENOVO 20BUS00700 (Intel Core™ i5-5300U)

16 GB · Microsoft Windows 10 Professionnel 10.0.19045

Tested on March 8, 2026

Top 88% Compare

Global Score

44 /100

Marginal

Hardware Fit

52/100

Quality

40/100

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Hardware

Machine: LENOVO 20BUS00700
CPU: Intel Core™ i5-5300U
Cores: 4 total (4 perf)
Frequency: 2.3 GHz
RAM: 16 GB DDR3
GPU: Intel(R) HD Graphics 5500
OS: Microsoft Windows 10 Professionnel 10.0.19045
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 4.8
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.8
First chunk latency Delay before the first streamed chunk arrives from runtime: 4.9 s
Time to first token How fast the model starts responding — lower is better: 4.9 s
Load time Time to load the model into memory before inference: N/A
Memory usage RAM consumed during inference — percentage of total system memory: 1.3 GB (8%)
Total tokens Total number of tokens generated across all benchmark prompts: 1329

Score breakdown

Speed

18/50

Time to first token

11/20

Memory

23/30

Quality

Reasoning

3/20

Coding

15/20

Instruction following

7/20

Structured output

9/15

Math

1/15

Multilingual

5/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: LM Studio 0.4.6+1
Model format: GGUF
Hardware profile: ENTRY
Result hash: f8f38af1e2e9070cf7a7ab4f07e7a09c2562030d863141b1b4b8d83549999c56

Interpretation

Hardware fit: 52/100. Overall suitability: MARGINAL (Global 44/100). Category profile: Reasoning: Poor, Coding: Adequate, Instruction Following: Weak, Structured Output: Adequate, Math: Poor, Multilingual: Weak.

Bench Environment

Power: AC CPU load: avg 29% (peak 31%)

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