Back to leaderboard

wizardlm2:7b

llama · 7B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

deepseek-v2:16b

deepseek2 · 15.7B · Q4_0

Good

Mar 2, 2026 · Apple M4

Global Score
59 vs 69
Hardware Fit
97 vs 100
Quality Score
43 vs 55

Hardware

wizardlm2:7b deepseek-v2:16b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

wizardlm2:7b deepseek-v2:16b
Tokens/sec23.256.6
TTFT264 ms239 ms
Load time0.6 s1.2 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

deepseek-v2:16b

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

deepseek-v2:16b

Reasoning
7/20
Coding
9/20
Instruction
13/20
Structured
10/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong

Run yours and compare

npx metrillm@latest bench

Requires Node 20+ and Ollama or LM Studio running