glm-4.7-flash:q4_K_M

glm4moelite · 29.9B · Q4_K_M

ASUS (Intel Core™ i5-14600KF)

32 GB · Microsoft Windows 11 Famille 10.0.26200

Tested on March 7, 2026 · Submitted by RzoFlo

Top 16% Compare

Global Score

81 /100

Excellent

Hardware Fit

89/100

Quality

77/100

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ollama pull glm-4.7-flash:q4_K_M

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GGUF versions & quantizations

Hardware

Machine: ASUS
CPU: Intel Core™ i5-14600KF
Cores: 20 total (20 perf)
Frequency: 3.5 GHz
RAM: 32 GB DDR5
GPU: NVIDIA GeForce RTX 4070 Ti SUPER
OS: Microsoft Windows 11 Famille 10.0.26200
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 35.1
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±3.3
First chunk latency Delay before the first streamed chunk arrives from runtime: 440 ms
Time to first token How fast the model starts responding — lower is better: 440 ms
Load time Time to load the model into memory before inference: 11.6 s
Memory usage RAM consumed during inference — percentage of total system memory: 18.4 GB (58%)
Total tokens Total number of tokens generated across all benchmark prompts: 985

Score breakdown

Speed

49/50

Time to first token

20/20

Memory

20/30

Quality

Reasoning

13/20

Coding

17/20

Instruction following

12/20

Structured output

15/15

Math

10/15

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 0.17.7
Model format: GGUF
Hardware profile: BALANCED
Result hash: 4ecd6a48d2cd6c10545a8ee5ba62f56892a55a11d15303b38fdd0518c89a7ed3

Interpretation

Hardware fit: 89/100. Overall suitability: EXCELLENT (Global 81/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

CPU load: avg 24% (peak 25%)

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