glm-4.6v-flash

glm4 · Q4_K_S

THINKING MODEL

Mac Studio (Apple M2 Max)

96 GB · macOS 26.1

Tested on April 21, 2026 · Submitted by Frank

Top 60% Compare

Global Score

65 /100

Good

Hardware Fit

88/100

Quality

55/100

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Hardware

Machine: Mac Studio
CPU: Apple M2 Max
Cores: 12 total (8 perf + 4 eff)
Frequency: 2.4 GHz
RAM: 96 GB LPDDR5
GPU: Apple M2 Max
OS: macOS 26.1
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 49.9
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 27 ms
Time to first token How fast the model starts responding — lower is better: 3.7 s
Load time Time to load the model into memory before inference: 2.7 s
Memory usage RAM consumed during inference — percentage of total system memory: 0.0 GB (0%)
Total tokens Total number of tokens generated across all benchmark prompts: 1633
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~752

Score breakdown

Speed

50/50

Time to first token

8/20

Memory

30/30

Quality

Reasoning

0/20

Coding

16/20

Instruction following

12/20

Structured output

2/15

Math

15/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: LM Studio 0.4.10+1
Model format: GGUF
Hardware profile: HIGH-END
Result hash: c2855307833a9ea8a2f803e105c07f5e3e7e4b322b8f1be30126674785811a52

Interpretation

Hardware fit: 88/100. Overall suitability: GOOD (Global 65/100). Category profile: Reasoning: Poor, Coding: Strong, Instruction Following: Adequate, Structured Output: Poor, Math: Strong, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 6% (peak 8%)

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