zai-org/glm-4.7-flash
deepseek2 · 30B · Q4_K_M
ECO MODE
ASUS (AMD Ryzen 7 7800X3D 8-Core Processor)
31 GB · cachyos rolling
Tested on July 4, 2026
Global Score
83 /100
Excellent
Hardware Fit
86/100
Quality
81/100
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Hardware
- Machine
- ASUS
- CPU
- AMD Ryzen 7 7800X3D 8-Core Processor
- Cores
- 16 threads (8 cores)
- Frequency
- 2.16 GHz
- RAM
- 31 GB
- GPU
- NVIDIA GeForce RTX 4090, Raphael
- OS
- cachyos rolling
- Arch
- x64
- Power Mode
- low-power
Performance
- Tokens/sec
- 102.9
- Standard deviation
- ±2.2
- First chunk latency
- 5 ms
- Time to first token
- 153 ms
- Load time
- N/A
- Memory usage
- 20.8 GB (68%)
- Total tokens
- 1257
Score breakdown
Speed
50/50
Time to first token
20/20
Memory
16/30
Quality
Reasoning
13/20
Coding
19/20
Instruction following
14/20
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
- LM Studio
- Model format
- GGUF
- Hardware profile
- BALANCED
- Result hash
- a9c87930afc638e77ae89c1f3216937c186d86889257ecbe2e0406412793deb0
Interpretation
Hardware fit: 86/100. Overall suitability: EXCELLENT (Global 83/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Adequate, Multilingual: Strong.
Warnings
- Model memory footprint is estimated via LM Studio CLI rather than measured from a fresh load.
- System was in low-power mode during this benchmark.
Bench Environment
Thermal: nominal CPU load: avg 31% (peak 38%)
Run yours now
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest