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ranking.json

@@ -0,0 +1,250 @@
+[
+  {
+    "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"
+  }
+]