gemma4:e4b-mlx
OLLAMA GGUFAug 24, 2026 · Apple M1 Pro
text-embedding-nomic-embed-text-v1.5
LM-STUDIO GGUFnomic-bert · Q4_K_M
Mar 3, 2026 · Apple M4
Global Score
90 vs 59
Hardware Fit
86 vs 94
Quality Score
92 vs 44
Hardware
gemma4:e4b-mlx text-embedding-nom…
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e4b-mlx text-embedding-nom…
Tokens/sec41.845.3
First chunk359 ms2440 ms
TTFT4.2 s2.4 s
Load time5.1 sN/A
Memory usage7.9 GB0.0 GB
Memory %49%0%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
11/20
Memory
25/30
text-embedding-nomic-em…
Speed
40/50
TTFT
25/20
Memory
29/30
Quality
gemma4:e4b-mlx
Reasoning
19/20
Coding
19/20
Instruction
14/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong 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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest