Back to leaderboard

gemma4:12b-mlx

OLLAMA GGUF
Not Rec.

Aug 24, 2026 · Apple M1 Pro

qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

Aug 22, 2026 · AMD EPYC 7713 64-Core Processor

Global Score
71 vs 85
Hardware Fit
76 vs 77
Quality Score
69 vs 88

Hardware

gemma4:12b-mlx qwen3.8:27b-bf16
MachineMacBook ProDell Inc. PowerEdge XE8545
CPUApple M1 ProAMD EPYC 7713 64-Core Processor
Cores10128
RAM16 GB1007 GB
GPUApple M1 ProGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSmacOS 26.6.2Rocky Linux 8.10
Archarm64x64
Power Modebalancedunknown

Performance

gemma4:12b-mlx qwen3.8:27b-bf16
Tokens/sec25.027.2
First chunk787 ms237 ms
TTFT30.0 s237 ms
Load time4.0 s43.8 s
Memory usage7.1 GB68.8 GB
Memory %45%7%

HW Fit Score Breakdown

gemma4:12b-mlx

Speed
50/50
TTFT
0/20
Memory
26/30

qwen3.8:27b-bf16

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

Quality

gemma4:12b-mlx

Reasoning
14/20
Coding
10/20
Instruction
9/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Weak Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3.8:27b-bf16

Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View gemma4:12b-mlx details | View qwen3.8:27b-bf16 details

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