| [ |
| { |
| "rank": 1, |
| "model": "SmolLM2-135M-Instruct-mobile", |
| "cpu_tps": 59.7, |
| "size_mb": 1, |
| "efficiency_score": 59.7, |
| "verdict": "BEST" |
| }, |
| { |
| "rank": 2, |
| "model": "Qwen2.5-0.5B-Instruct-mobile-int4", |
| "cpu_tps": 12.5, |
| "size_mb": 1, |
| "efficiency_score": 12.5, |
| "verdict": "BEST" |
| }, |
| { |
| "rank": 3, |
| "model": "Llama-3.2-1B-Instruct-Q4-mobile", |
| "cpu_tps": 11.3, |
| "size_mb": 1, |
| "efficiency_score": 11.3, |
| "verdict": "BEST" |
| }, |
| { |
| "rank": 4, |
| "model": "SmolLM2-360M-Instruct-mobile", |
| "cpu_tps": 29.1, |
| "size_mb": 258.1, |
| "efficiency_score": 0.113, |
| "verdict": "GOOD" |
| }, |
| { |
| "rank": 5, |
| "model": "MiniCPM-V-4.6-mobile", |
| "cpu_tps": 23.4, |
| "size_mb": 504.6, |
| "efficiency_score": 0.046, |
| "verdict": "GOOD" |
| }, |
| { |
| "rank": 6, |
| "model": "Qwen2.5-0.5B-Chinese-mobile", |
| "cpu_tps": 16.4, |
| "size_mb": 400.6, |
| "efficiency_score": 0.041, |
| "verdict": "GOOD" |
| }, |
| { |
| "rank": 7, |
| "model": "Qwen2.5-0.5B-Instruct-Server-mobile", |
| "cpu_tps": 16.7, |
| "size_mb": 482.3, |
| "efficiency_score": 0.035, |
| "verdict": "GOOD" |
| }, |
| { |
| "rank": 8, |
| "model": "MiniCPM5-1B-multilingual-mobile", |
| "cpu_tps": 18.4, |
| "size_mb": 656.2, |
| "efficiency_score": 0.028, |
| "verdict": "GOOD" |
| }, |
| { |
| "rank": 9, |
| "model": "TinyLlama-1.1B-Chat-mobile-int4", |
| "cpu_tps": 17.6, |
| "size_mb": 637.8, |
| "efficiency_score": 0.028, |
| "verdict": "GOOD" |
| }, |
| { |
| "rank": 10, |
| "model": "MiniCPM5-1B-mobile", |
| "cpu_tps": 18.1, |
| "size_mb": 656.2, |
| "efficiency_score": 0.028, |
| "verdict": "GOOD" |
| }, |
| { |
| "rank": 11, |
| "model": "Qwen2.5-0.5B-Coder-mobile", |
| "cpu_tps": 8.0, |
| "size_mb": 379.4, |
| "efficiency_score": 0.021, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 12, |
| "model": "SmolLM2-1.7B-Instruct-mobile", |
| "cpu_tps": 18.7, |
| "size_mb": 1006.7, |
| "efficiency_score": 0.019, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 13, |
| "model": "Qwen2.5-Math-1.5B-mobile", |
| "cpu_tps": 15.7, |
| "size_mb": 940.4, |
| "efficiency_score": 0.017, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 14, |
| "model": "TinyLlama-1.1B-Chat-Q5-mobile", |
| "cpu_tps": 10.9, |
| "size_mb": 746.7, |
| "efficiency_score": 0.015, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 15, |
| "model": "Gemma-2B-Arabic-mobile", |
| "cpu_tps": 14.8, |
| "size_mb": 1554.7, |
| "efficiency_score": 0.01, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 16, |
| "model": "SmolLM2-1.7B-Instruct-Q5-mobile", |
| "cpu_tps": 10.8, |
| "size_mb": 1168.7, |
| "efficiency_score": 0.009, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 17, |
| "model": "Qwen2.5-Coder-1.5B-mobile", |
| "cpu_tps": 7.8, |
| "size_mb": 940.4, |
| "efficiency_score": 0.008, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 18, |
| "model": "Qwen2.5-1.5B-Instruct-mobile-int4", |
| "cpu_tps": 7.7, |
| "size_mb": 1065.6, |
| "efficiency_score": 0.007, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 19, |
| "model": "Qwen2.5-1.5B-Instruct-Q8-mobile", |
| "cpu_tps": 8.7, |
| "size_mb": 1570.3, |
| "efficiency_score": 0.006, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 20, |
| "model": "Llama-3.2-1B-Instruct-Q6-mobile", |
| "cpu_tps": 5.0, |
| "size_mb": 974.5, |
| "efficiency_score": 0.005, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 21, |
| "model": "Gemma-2-2B-IT-mobile", |
| "cpu_tps": 8.2, |
| "size_mb": 1629.4, |
| "efficiency_score": 0.005, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 22, |
| "model": "Llama-3.2-3B-FunctionCall-mobile", |
| "cpu_tps": 9.1, |
| "size_mb": 1925.8, |
| "efficiency_score": 0.005, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 23, |
| "model": "Llama-3.2-1B-FunctionCall-mobile", |
| "cpu_tps": 8.9, |
| "size_mb": 1925.8, |
| "efficiency_score": 0.005, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 24, |
| "model": "Qwen2.5-1.5B-Instruct-Q5-mobile", |
| "cpu_tps": 4.4, |
| "size_mb": 1072.9, |
| "efficiency_score": 0.004, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 25, |
| "model": "Llama-3.2-1B-Instruct-mobile", |
| "cpu_tps": 4.9, |
| "size_mb": 1259.9, |
| "efficiency_score": 0.004, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 26, |
| "model": "Phi-3.5-mini-Instruct-mobile", |
| "cpu_tps": 8.6, |
| "size_mb": 2282.4, |
| "efficiency_score": 0.004, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 27, |
| "model": "Gemma-2-2B-IT-Q5-mobile", |
| "cpu_tps": 5.7, |
| "size_mb": 1834.2, |
| "efficiency_score": 0.003, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 28, |
| "model": "Phi-3.5-mini-instruct-Q5-mobile", |
| "cpu_tps": 7.0, |
| "size_mb": 2684.9, |
| "efficiency_score": 0.003, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 29, |
| "model": "Llama-3.2-3B-Instruct-mobile", |
| "cpu_tps": 4.8, |
| "size_mb": 1925.8, |
| "efficiency_score": 0.002, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 30, |
| "model": "Llama-3.2-3B-Instruct-Q5-mobile", |
| "cpu_tps": 2.6, |
| "size_mb": 2214.6, |
| "efficiency_score": 0.001, |
| "verdict": "OK" |
| }, |
| { |
| "rank": 31, |
| "model": "Qwen2.5-Coder-7B-mobile", |
| "cpu_tps": 3.0, |
| "size_mb": 4466.1, |
| "efficiency_score": 0.001, |
| "verdict": "OK" |
| } |
| ] |
