Back to leaderboard

mlx-community/quantized-gemma-2b-it

LM-STUDIO GGUF
Marginal

Mar 5, 2026 · Apple M4

gemma3:1b

OLLAMA GGUF

gemma3 · 999.89M · Q4_K_M

Marginal

Jun 25, 2026 · Cortex-A78AE

Global Score
45 vs 59
Hardware Fit
100 vs 100
Quality Score
21 vs 42

Hardware

mlx-community/quan… gemma3:1b
MachineMacBook AirNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUApple M4Cortex-A78AE
Cores106
RAM32 GB7 GB
GPUApple M4Integrated / Unknown
OSmacOS 26.3Ubuntu 22.04.5 LTS
Archarm64arm64
Power Modebalancedbalanced

Performance

mlx-community/quan… gemma3:1b
Tokens/sec44.434.0
First chunk336 ms1876 ms
TTFT336 ms1.9 s
Load timeN/A1.7 s
Memory usage0.1 GB0.8 GB
Memory %0%11%

HW Fit Score Breakdown

mlx-community/quantized…

Speed
50/50
TTFT
20/20
Memory
30/30

gemma3:1b

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

mlx-community/quantized…

Reasoning
4/20
Coding
1/20
Instruction
9/20
Structured
4/15
Math
2/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Poor

gemma3:1b

Reasoning
7/20
Coding
5/20
Instruction
15/20
Structured
7/15
Math
1/15
Multilingual
7/10
Reasoning: Weak Coding: Poor Instruction Following: Strong Structured Output: Weak Math: Poor Multilingual: Adequate

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest