wizardlm2:7b
llama · 7B · Q4_0
Mar 2, 2026 · Apple M4
gemma2:9b
gemma2 · 9.2B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
59 vs 76
Hardware Fit
97 vs 89
Quality Score
43 vs 71
Hardware
wizardlm2:7b gemma2:9b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
wizardlm2:7b gemma2:9b
Tokens/sec23.217.5
TTFT264 ms347 ms
Load time0.6 s0.8 s
Memory usage9.9 GB8.2 GB
Memory %31%26%
HW Fit Score Breakdown
wizardlm2:7b
Speed
37/40
TTFT
30/30
Memory
30/30
gemma2:9b
Speed
29/40
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
gemma2:9b
Reasoning
11/20
Coding
15/20
Instruction
13/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running