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gemma4:12b-mlx

OLLAMA GGUF
Excellent

Jul 4, 2026 · Apple M2 Pro

deepseek-r1:70b

OLLAMA GGUF

llama · 70.6B · Q4_K_M

Not Rec.

Jun 27, 2026 · Cortex-X925

Global Score
91 vs 47
Hardware Fit
96 vs 51
Quality Score
89 vs 45

Hardware

gemma4:12b-mlx deepseek-r1:70b
MachineMacBook ProNVIDIA NVIDIA_DGX_Spark
CPUApple M2 ProCortex-X925
Cores1020
RAM16 GB122 GB
GPUApple M2 ProDevice 2e12
OSmacOS 26.5Ubuntu 24.04.4 LTS
Archarm64arm64
Power Modebalancedperformance

Performance

gemma4:12b-mlx deepseek-r1:70b
Tokens/sec24.74.7
First chunk610 ms557 ms
TTFT610 ms557 ms
Load time3.6 s52.6 s
Memory usage7.1 GB49.5 GB
Memory %45%41%

HW Fit Score Breakdown

gemma4:12b-mlx

Speed
50/50
TTFT
20/20
Memory
26/30

deepseek-r1:70b

Speed
4/50
TTFT
20/20
Memory
27/30

Quality

gemma4:12b-mlx

Reasoning
16/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

deepseek-r1:70b

Reasoning
3/20
Coding
1/20
Instruction
14/20
Structured
9/15
Math
8/15
Multilingual
10/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong

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