wizardlm2:7b
llama · 7B · Q4_0
Mar 2, 2026 · Apple M4
codegemma:7b
gemma · 9B · Q4_0
Mar 1, 2026 · Apple M4
Global Score
65 vs 65
Hardware Fit
97 vs 91
Quality Score
43 vs 48
Hardware
wizardlm2:7b codegemma:7b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
wizardlm2:7b codegemma:7b
Tokens/sec23.219.2
TTFT264 ms316 ms
Load time0.6 s0.1 s
Memory usage9.9 GB8.7 GB
Memory %31%27%
HW Fit Score Breakdown
wizardlm2:7b
Speed
37/40
TTFT
30/30
Memory
30/30
codegemma:7b
Speed
31/40
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
codegemma:7b
Reasoning
1/20
Coding
0/20
Instruction
13/20
Structured
15/15
Math
10/15
Multilingual
9/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running