lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
gemma4:12b
OLLAMA GGUFgemma4 · 11.9B · Q4_K_M
Jun 26, 2026 · Cortex-X925
Global Score
18 vs 86
Hardware Fit
59 vs 78
Quality Score
0 vs 90
Hardware
lfm2-24b-a2b gemma4:12b
MachineMac miniNVIDIA NVIDIA_DGX_Spark
CPUApple M4 ProCortex-X925
Cores1420
RAM64 GB122 GB
GPUApple M4 ProDevice 2e12
OSmacOS 15.7.4Ubuntu 24.04.4 LTS
Archarm64arm64
Power Modebalancedperformance
Performance
lfm2-24b-a2b gemma4:12b
Tokens/sec6.626.3
First chunk1025 ms545 ms
TTFT1.0 s545 ms
Load timeN/A9.5 s
Memory usage0.0 GB8.4 GB
Memory %0%7%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
9/50
TTFT
20/20
Memory
30/30
gemma4:12b
Speed
28/50
TTFT
20/20
Memory
30/30
Quality
lfm2-24b-a2b
Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
gemma4:12b
Reasoning
18/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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