Xiaomi 12T Pro
Geekbench AI Score
213
Single Precision Score
10820
Half Precision Score
28392
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 21 2025 05:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 12T Pro |
| Model ID | Xiaomi 22081212UG |
| Motherboard | diting |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
124
23.0 IPS |
|
|
Image Classification (HP)
|
100% |
8007
1.49 KIPS |
|
|
Image Classification (Q)
|
99% |
22146
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
161
2.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
6426
104.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18560
301.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
224
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
37448
43.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
223404
261.9 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.77 IPS |
|
|
Object Detection (HP)
|
100% |
7604
603.1 IPS |
|
|
Object Detection (Q)
|
88% |
11511
922.2 IPS |
|
|
Face Detection (SP)
|
100% |
325
3.86 IPS |
|
|
Face Detection (HP)
|
100% |
17324
205.8 IPS |
|
|
Face Detection (Q)
|
97% |
63423
756.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
283
2.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
27028
208.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
64475
593.6 IPS |
|
|
Style Transfer (SP)
|
100% |
503
0.65 IPS |
|
|
Style Transfer (HP)
|
98% |
39336
50.7 IPS |
|
|
Style Transfer (Q)
|
98% |
223807
288.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
140
5.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21244
784.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
70084
2.60 KIPS |
|
|
Text Classification (SP)
|
100% |
179
238.8 IPS |
|
|
Text Classification (HP)
|
100% |
1861
2.48 KIPS |
|
|
Text Classification (Q)
|
94% |
4288
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (HP)
|
100% |
2063
35.5 IPS |
|
|
Machine Translation (Q)
|
50% |
1171
40.5 IPS |
