wizardlm2:7b
llama · 7B · Q4_0
Mar 2, 2026 · Apple M4
phi3:3.8b
phi3 · 3.8B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
59 vs 64
Hardware Fit
97 vs 100
Quality Score
43 vs 48
Hardware
wizardlm2:7b phi3:3.8b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
wizardlm2:7b phi3:3.8b
Tokens/sec23.242.0
TTFT264 ms142 ms
Load time0.6 s1.1 s
Memory usage9.9 GB16.0 GB
Memory %31%50%
HW Fit Score Breakdown
wizardlm2:7b
Speed
37/40
TTFT
30/30
Memory
30/30
phi3:3.8b
Speed
40/40
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
phi3:3.8b
Reasoning
12/20
Coding
3/20
Instruction
11/20
Structured
10/15
Math
5/15
Multilingual
7/10
Reasoning: Adequate Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Weak Multilingual: Adequate
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running