glm-4.7-flash:bf16
OLLAMA GGUFdeepseek2 · 29.9B · F16
Jun 26, 2026 · Cortex-X925
gemma-2-2b-it
LM-STUDIO GGUFgemma2 · 2B · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
Global Score
76 vs 58
Hardware Fit
73 vs 50
Quality Score
77 vs 62
Hardware
glm-4.7-flash:bf16 gemma-2-2b-it
MachineNVIDIA NVIDIA_DGX_SparkLENOVO 20BUS00700
CPUCortex-X925Intel Core™ i5-5300U
Cores204
RAM122 GB16 GB
GPUDevice 2e12Intel(R) HD Graphics 5500
OSUbuntu 24.04.4 LTSMicrosoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modeperformancebalanced
Performance
glm-4.7-flash:bf16 gemma-2-2b-it
Tokens/sec25.83.6
First chunk605 ms4509 ms
TTFT605 ms4.5 s
Load time44.2 sN/A
Memory usage57.0 GB1.6 GB
Memory %47%10%
HW Fit Score Breakdown
glm-4.7-flash:bf16
Speed
27/50
TTFT
20/20
Memory
26/30
gemma-2-2b-it
Speed
14/50
TTFT
12/20
Memory
24/30
Quality
glm-4.7-flash:bf16
Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
gemma-2-2b-it
Reasoning
11/20
Coding
8/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest