wizardlm2:7b
llama · 7B · Q4_0
Mar 2, 2026 · Apple M4
phi3:14b
phi3 · 14.0B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
65 vs 66
Hardware Fit
97 vs 83
Quality Score
43 vs 55
Hardware
wizardlm2:7b phi3:14b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
wizardlm2:7b phi3:14b
Tokens/sec23.212.7
TTFT264 ms434 ms
Load time0.6 s0.9 s
Memory usage9.9 GB17.7 GB
Memory %31%55%
HW Fit Score Breakdown
wizardlm2:7b
Speed
37/40
TTFT
30/30
Memory
30/30
phi3:14b
Speed
23/40
TTFT
30/30
Memory
30/30
Quality
wizardlm2:7b
Reasoning
6/20
Coding
11/20
Instruction
10/20
Structured
4/15
Math
4/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Weak Math: Weak Multilingual: Strong
phi3:14b
Reasoning
14/20
Coding
2/20
Instruction
14/20
Structured
7/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Adequate Multilingual: Strong
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running