Xiaomi Redmi Note 12 Pro
Geekbench AI Score
496
Single Precision Score
792
Half Precision Score
591
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 05:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | MediaTek Dimensity 1080 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi Redmi Note 12 Pro |
| Model ID | Xiaomi 22101316G |
| Motherboard | ruby |
| CPU Information | |
|---|---|
| Name | ARM MT6877V/TTZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
223
41.4 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.7 IPS |
|
|
Image Classification (Q)
|
97% |
289
53.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
461
7.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
1047
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
875
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2018
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2984
3.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
3583
4.20 IPS |
|
|
Object Detection (SP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (HP)
|
99% |
366
29.0 IPS |
|
|
Object Detection (Q)
|
83% |
301
24.3 IPS |
|
|
Face Detection (SP)
|
100% |
944
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
1585
18.8 IPS |
|
|
Face Detection (Q)
|
96% |
1211
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1411
10.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2433
18.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
1967
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3409
4.38 IPS |
|
|
Style Transfer (HP)
|
100% |
7368
9.47 IPS |
|
|
Style Transfer (Q)
|
98% |
7116
9.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
760
28.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1207
44.7 IPS |
|
|
Text Classification (SP)
|
35% |
16
144.1 IPS |
|
|
Text Classification (HP)
|
35% |
29
262.8 IPS |
|
|
Text Classification (Q)
|
32% |
14
179.8 IPS |
|
|
Machine Translation (SP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (Q)
|
43% |
67
3.87 IPS |
