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| 3 layers | CN¥ 52.57 |
| 4 layers | CN¥ 61.91 |
| 5 layers | CN¥ 67.76 |
| 6 layers | CN¥ 91.12 |
| 7 layers | CN¥ 114.48 |
| 3 layers | CN¥ 52.57 |
| 4 layers | CN¥ 61.91 |
| 5 layers | CN¥ 67.76 |
| 6 layers | CN¥ 91.12 |
| 7 layers | CN¥ 114.48 |
| 3 layers | CN¥ 79.44 |
| 4 layers | CN¥ 91.12 |
| 5 layers | CN¥ 102.8 |
| 6 layers | CN¥ 137.85 |
| 7 layers | CN¥ 161.21 |
| 3 layers | CN¥ 79.44 |
| 4 layers | CN¥ 91.12 |
| 5 layers | CN¥ 102.8 |
| 6 layers | CN¥ 137.85 |
| 7 layers | CN¥ 161.21 |
| 3 layers | CN¥ 79.44 |
| 4 layers | CN¥ 91.12 |
| 5 layers | CN¥ 102.8 |
| 6 layers | CN¥ 137.85 |
| 7 layers | CN¥ 161.21 |
| 3 layers | CN¥ 79.44 |
| 4 layers | CN¥ 91.12 |
| 5 layers | CN¥ 102.8 |
| 6 layers | CN¥ 137.85 |
| 7 layers | CN¥ 161.21 |
| 3 layers | CN¥ 54.91 |
| 4 layers | CN¥ 60.75 |
| 5 layers | CN¥ 67.76 |
| 6 layers | CN¥ 92.29 |
| 7 layers | CN¥ 115.65 |
| 3 layers | CN¥ 54.91 |
| 4 layers | CN¥ 60.75 |
| 5 layers | CN¥ 67.76 |
| 6 layers | CN¥ 92.29 |
| 7 layers | CN¥ 115.65 |
| 3 layers | CN¥ 137.85 |
| 4 layers | CN¥ 149.53 |
| 5 layers | CN¥ 169.39 |
| 6 layers | CN¥ 219.62 |
| 7 layers | CN¥ 266.35 |
| 3 layers | CN¥ 137.85 |
| 4 layers | CN¥ 149.53 |
| 5 layers | CN¥ 169.39 |
| 6 layers | CN¥ 219.62 |
| 7 layers | CN¥ 266.35 |
| 3 layers | CN¥ 149.53 |
| 4 layers | CN¥ 172.89 |
| 5 layers | CN¥ 184.58 |
| 6 layers | CN¥ 231.3 |
| 7 layers | CN¥ 278.03 |
| 3 layers | CN¥ 149.53 |
| 4 layers | CN¥ 172.89 |
| 5 layers | CN¥ 184.58 |
| 6 layers | CN¥ 231.3 |
| 7 layers | CN¥ 278.03 |
| 3 layers | CN¥ 184.58 |
| 4 layers | CN¥ 196.26 |
| 5 layers | CN¥ 219.62 |
| 6 layers | CN¥ 266.35 |
| 7 layers | CN¥ 313.08 |
| 3 layers | CN¥ 184.58 |
| 4 layers | CN¥ 196.26 |
| 5 layers | CN¥ 219.62 |
| 6 layers | CN¥ 266.35 |
| 7 layers | CN¥ 313.08 |
| 3 layers | CN¥ 184.58 |
| 4 layers | CN¥ 196.26 |
| 5 layers | CN¥ 219.62 |
| 6 layers | CN¥ 266.35 |
| 7 layers | CN¥ 313.08 |
| 3 layers | CN¥ 184.58 |
| 4 layers | CN¥ 196.26 |
| 5 layers | CN¥ 219.62 |
| 6 layers | CN¥ 266.35 |
| 7 layers | CN¥ 313.08 |
| 3 layers | CN¥ 161.21 |
| 4 layers | CN¥ 184.58 |
| 5 layers | CN¥ 207.94 |
| 6 layers | CN¥ 254.67 |
| 7 layers | CN¥ 301.4 |
| 3 layers | CN¥ 161.21 |
| 4 layers | CN¥ 184.58 |
| 5 layers | CN¥ 207.94 |
| 6 layers | CN¥ 254.67 |
| 7 layers | CN¥ 301.4 |
| 3 layers | CN¥ 80.61 |
| 4 layers | CN¥ 92.29 |
| 5 layers | CN¥ 105.14 |
| 6 layers | CN¥ 137.85 |
| 7 layers | CN¥ 161.21 |
| 3 layers | CN¥ 80.61 |
| 4 layers | CN¥ 92.29 |
| 5 layers | CN¥ 105.14 |
| 6 layers | CN¥ 137.85 |
| 7 layers | CN¥ 161.21 |
| 3 layers | CN¥ 172.89 |
| 4 layers | CN¥ 184.58 |
| 5 layers | CN¥ 207.94 |
| 6 layers | CN¥ 266.35 |
| 7 layers | CN¥ 313.08 |
| 3 layers | CN¥ 172.89 |
| 4 layers | CN¥ 184.58 |
| 5 layers | CN¥ 207.94 |
| 6 layers | CN¥ 266.35 |
| 7 layers | CN¥ 313.08 |
| 3 layers | CN¥ 207.94 |
| 4 layers | CN¥ 231.3 |
| 5 layers | CN¥ 254.67 |
| 6 layers | CN¥ 301.4 |
| 7 layers | CN¥ 348.12 |
| 3 layers | CN¥ 207.94 |
| 4 layers | CN¥ 231.3 |
| 5 layers | CN¥ 254.67 |
| 6 layers | CN¥ 301.4 |
| 7 layers | CN¥ 348.12 |
| 3 layers | CN¥ 64.25 |
| 4 layers | CN¥ 75.93 |
| 5 layers | CN¥ 85.28 |
| 6 layers | CN¥ 114.48 |
| 7 layers | CN¥ 143.69 |
| 3 layers | CN¥ 64.25 |
| 4 layers | CN¥ 75.93 |
| 5 layers | CN¥ 85.28 |
| 6 layers | CN¥ 114.48 |
| 7 layers | CN¥ 143.69 |
| 3 layers | CN¥ 26.29 |
| 4 layers | CN¥ 44.39 |
| 5 layers | CN¥ 49.06 |
| 6 layers | CN¥ 70.09 |
| 7 layers | CN¥ 91.12 |
| 3 layers | CN¥ 231.3 |
| 4 layers | CN¥ 254.67 |
| 5 layers | CN¥ 278.03 |
| 6 layers | CN¥ 324.76 |
| 7 layers | CN¥ 371.49 |
| 3 layers | CN¥ 231.3 |
| 4 layers | CN¥ 254.67 |
| 5 layers | CN¥ 278.03 |
| 6 layers | CN¥ 324.76 |
| 7 layers | CN¥ 371.49 |















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