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google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

text-embedding-nomic-embed-text-v1.5

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

Global Score
76 vs 59
Hardware Fit
100 vs 94
Quality Score
66 vs 44

Hardware

google/gemma-3-4b text-embedding-nom…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

google/gemma-3-4b text-embedding-nom…
Tokens/sec39.445.3
First chunk468 ms2440 ms
TTFT468 ms2.4 s
Load timeN/AN/A
Memory usage2.8 GB0.0 GB
Memory %9%0%

HW Fit Score Breakdown

google/gemma-3-4b

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

text-embedding-nomic-em…

Speed
40/50
TTFT
25/20
Memory
29/30

Quality

google/gemma-3-4b

Reasoning
10/20
Coding
17/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

text-embedding-nomic-em…

Reasoning
10/20
Coding
3/20
Instruction
11/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong 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