gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
Qwen3-80B:80B
OLLAMA GGUFqwen3next · 79.7B · Q4_K_M
Aug 22, 2026 · NVIDIA RTX Spark N1X (6144-core GPU, 20-core ) RTX Spark N1X (6144-core GPU, 20-core )
Global Score
90 vs 87
Hardware Fit
78 vs 76
Quality Score
95 vs 91
Hardware
gemma4:e4b-mlx Qwen3-80B:80B
MachineMacBook ProHP HyperX OMEN Transcend Gaming Laptop 14-ga0xxx5CD612DXML
CPUApple M2 ProNVIDIA RTX Spark N1X (6144-core GPU, 20-core ) RTX Spark N1X (6144-core GPU, 20-core )
Cores1020
RAM16 GB55 GB
GPUApple M2 ProNVIDIA RTX Spark N1X (6144-core Blackwell RTX GPU), NVIDIA NPU
OSmacOS 26.5Microsoft Windows 11 Pro 10.0.28000
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e4b-mlx Qwen3-80B:80B
Tokens/sec46.143.6
First chunk284 ms409 ms
TTFT3.9 s409 ms
Load time0.1 s80.3 s
Memory usage10.8 GB48.0 GB
Memory %68%88%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
12/20
Memory
16/30
Qwen3-80B:80B
Speed
50/50
TTFT
20/20
Memory
6/30
Quality
gemma4:e4b-mlx
Reasoning
19/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Qwen3-80B:80B
Reasoning
18/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
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