google/gemma-4-12b-it-qat
LM-STUDIO GGUFgemma4 · 12B · Q4_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
hf.co/bartowski/ai9stars_G9v3-3B-GGUF:BF16
OLLAMA GGUFllama · 2.99B · BF16
Aug 26, 2026 · Apple M1 Pro
Global Score
74 vs 64
Hardware Fit
46 vs 92
Quality Score
86 vs 52
Hardware
google/gemma-4-12b… hf.co/bartowski/ai…
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M1 Pro
Cores1610
RAM15 GB16 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M1 Pro
OSUbuntu 26.04 LTSmacOS 26.6.2
Archx64arm64
Power Modeperformancebalanced
Performance
google/gemma-4-12b… hf.co/bartowski/ai…
Tokens/sec5.029.9
First chunk64 ms108 ms
TTFT5.5 s108 ms
Load time9.5 s3.4 s
Memory usage0.0 GB8.9 GB
Memory %0%56%
HW Fit Score Breakdown
google/gemma-4-12b-it-qat
Speed
9/50
TTFT
7/20
Memory
30/30
hf.co/bartowski/ai9star…
Speed
50/50
TTFT
20/20
Memory
22/30
Quality
google/gemma-4-12b-it-qat
Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
hf.co/bartowski/ai9star…
Reasoning
17/20
Coding
14/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
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