vicuna:13b
llama · 13B · Q4_0
Mar 1, 2026 · Apple M4
smollm2:360m
llama · 361.82M · F16
Mar 2, 2026 · Apple M4
Global Score
59 vs 52
Hardware Fit
84 vs 100
Quality Score
48 vs 32
Hardware
vicuna:13b smollm2:360m
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
vicuna:13b smollm2:360m
Tokens/sec13.4117.9
TTFT438 ms43 ms
Load time0.6 s0.4 s
Memory usage10.3 GB1.2 GB
Memory %32%4%
HW Fit Score Breakdown
vicuna:13b
Speed
24/40
TTFT
30/30
Memory
30/30
smollm2:360m
Speed
40/40
TTFT
30/30
Memory
30/30
Quality
vicuna:13b
Reasoning
7/20
Coding
5/20
Instruction
12/20
Structured
13/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
smollm2:360m
Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
9/15
Math
4/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running