llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Jun 26, 2026 · Cortex-A78AE
gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
Global Score
46 vs 90
Hardware Fit
61 vs 78
Quality Score
40 vs 95
Hardware
llama3.1:8b gemma4:e4b-mlx
MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperMacBook Pro
CPUCortex-A78AEApple M2 Pro
Cores610
RAM7 GB16 GB
GPUIntegrated / UnknownApple M2 Pro
OSUbuntu 22.04.5 LTSmacOS 26.5
Archarm64arm64
Power Modebalancedbalanced
Performance
llama3.1:8b gemma4:e4b-mlx
Tokens/sec7.846.1
First chunk1625 ms284 ms
TTFT1.6 s3.9 s
Load time21.8 s0.1 s
Memory usage5.2 GB10.8 GB
Memory %71%68%
HW Fit Score Breakdown
llama3.1:8b
Speed
26/50
TTFT
20/20
Memory
15/30
gemma4:e4b-mlx
Speed
50/50
TTFT
12/20
Memory
16/30
Quality
llama3.1:8b
Reasoning
12/20
Coding
10/20
Instruction
4/20
Structured
1/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Weak Multilingual: Strong
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
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