CPU THROTTLING TEST REDUX

OPEN RESULTS

Smartphone performancerankings

Choose a duration and thread count, sort the metrics and open the detailed curve for any device.

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# Device SoC Average Max Min Sustained
Samsung Galaxy Tab S12+ little data MT6993 692.006GIPS 859.382 637.343 79%
Samsung Galaxy Tab S12+ 5G little data MT6993 644.754GIPS 857.772 553.517 68%
REDMAGIC 11 Pro+ little data SM8850 605.896GIPS 806.464 541.601 69%
8 Oppo K13 Turbo 5G little data MT6899 496.505GIPS 506.952 443.394 98%
7 OnePlus 13 little data SM8750 496.672GIPS 584.100 423.281 88%
10 OnePlus 15 little data SM8850 485.428GIPS 658.600 416.166 73%
4 Samsung Galaxy S26 FE little data s5e9955 565.005GIPS 661.371 387.257 82%
11 OnePlus Pad 4 little data SM8850P 477.963GIPS 625.402 383.624 76%
12 Samsung Galaxy S25 Ultra little data SM8750 457.719GIPS 746.892 366.476 55%
13 iQOO Neo11 little data SM8750 450.756GIPS 701.375 360.335 57%
28 AGM AGM_X7 little data MT6878 389.302GIPS 395.038 358.311 98%
16 ZTE nubia Z70 Ultra little data SM8750 431.922GIPS 732.325 343.023 49%
17 Samsung Galaxy S23 Ultra little data SM8550 427.163GIPS 508.848 333.621 85%
20 POCO F8 Ultra little data SM8850 418.403GIPS 731.288 331.117 49%
6 Samsung Galaxy S26+ little data s5e9965 503.768GIPS 990.437 330.166 41%
18 OnePlus 11 5G little data SM8550 420.461GIPS 468.515 328.222 91%
25 ZTE NX729J little data SM8550 399.979GIPS 451.478 322.846 86%
24 Honor X9e Pro little data SM6850 406.868GIPS 411.782 321.832 97%
19 Xiaomi 17 Pro Max little data SM8850 418.498GIPS 587.256 321.444 66%
39 OnePlus MT2110 little data SM8350 347.989GIPS 389.905 320.885 87%
15 ZTE NT01 little data SM8650 432.203GIPS 468.003 305.154 91%
26 HONOR Magic8 RSR Porsche Design little data SM8850 390.166GIPS 655.738 297.954 78%
9 Samsung Galaxy S26 Ultra little data SM8850 496.162GIPS 788.026 292.896 53%
40 HUAWEI CRS-LX9 little data Kirin 340.652GIPS 436.301 290.249 72%
21 OnePlus 15 little data SM8850 414.980GIPS 549.038 285.231 68%
22 realme GT 8 Pro little data SM8850 414.195GIPS 593.453 278.948 57%
44 Realme 真我GT Neo2T little data MT6893 332.717GIPS 400.589 278.025 78%
51 Honor Pad V9 little data MT8792 313.884GIPS 377.422 277.904 83%
38 Nothing Phone (4a) little data SM7635 353.338GIPS 377.067 276.902 83%
37 OnePlus Ace 2 Pro little data SM8550 355.848GIPS 461.412 269.048 68%
27 Samsung Galaxy S24 Ultra little data SM8650 390.049GIPS 551.200 265.003 62%
41 Honor 200 little data SM7550 336.134GIPS 354.435 264.052 91%
49 Tecno POVA 7 Ultra 5G little data MT6897 316.077GIPS 391.252 263.563 79%
31 Samsung Galaxy Z Fold8 little data SM8850 374.086GIPS 803.802 263.395 38%
45 Tecno POVA 7 5G little data MT6878 326.120GIPS 353.921 262.196 90%
14 Samsung Galaxy S25+ little data SM8750 446.520GIPS 715.072 259.667 51%
33 Samsung Galaxy A57 5G little data s5e8865 369.655GIPS 447.907 252.628 73%
58 Xiaomi 14 little data SM8650 299.497GIPS 345.201 245.807 75%
46 Infinix GT 30 Pro little data MT6897 325.485GIPS 431.336 245.414 70%
23 Google Pixel 11 little data Tensor G6 411.327GIPS 727.270 242.621 45%
32 Samsung Galaxy Z Flip8 little data s5e9965 373.623GIPS 924.918 241.156 37%
48 Tecno POVA 8 5G little data MT6858 318.527GIPS 387.823 239.082 75%
50 Infinix NOTE 30 VIP little data MT6893Z_T/CZA 314.338GIPS 371.480 238.972 89%
54 Motorola moto g86 5G little data MT6878 308.562GIPS 376.371 233.715 77%
68 ZTE Z2351N little data T760 250.127GIPS 286.087 231.858 85%
34 Asus ROG Phone 9 little data SM8750 369.319GIPS 416.248 228.400 68%
62 HUAWEI Pura 70 Ultra little data Kirin 277.774GIPS 399.500 220.075 66%
55 Tecno CAMON 20 Pro 5G little data MT6893Z_T/CZA 301.405GIPS 376.542 216.904 72%
65 Google Pixel 8 little data Tensor G3 257.439GIPS 420.595 214.155 57%
67 Infinix NOTE 40 Pro+ 5G little data MT6855 254.717GIPS 259.709 213.189 97%

METHODOLOGY

How ranking works

The best average GIPS from each anonymous installation is selected, then the model median is calculated. Median maximum, minimum and sustained performance are shown as context.

Only automatically completed built-in profiles enter the ranking. The server recalculates metrics and the per-second curve from submitted points.

The “little data” label means that the model does not yet have enough results from independent installations. Its position is provisional and may change noticeably as more results are added.