Xiaomi 12T Pro
Geekbench AI Score
670
Single Precision Score
936
Half Precision Score
906
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 09:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
504
93.8 IPS |
|
|
Image Classification (HP)
|
100% |
505
94.0 IPS |
|
|
Image Classification (Q)
|
97% |
375
69.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1130
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
724
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1264
1.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
1263
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
394
31.3 IPS |
|
|
Object Detection (HP)
|
100% |
622
49.3 IPS |
|
|
Object Detection (Q)
|
89% |
641
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
1463
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1476
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
1428
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1117
8.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
2382
18.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1920
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2750
3.53 IPS |
|
|
Style Transfer (HP)
|
100% |
6010
7.73 IPS |
|
|
Style Transfer (Q)
|
98% |
5956
7.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
369
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
532
19.7 IPS |
|
|
Text Classification (SP)
|
100% |
219
292.0 IPS |
|
|
Text Classification (HP)
|
100% |
219
292.9 IPS |
|
|
Text Classification (Q)
|
91% |
391
526.1 IPS |
|
|
Machine Translation (SP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.33 IPS |
|
|
Machine Translation (Q)
|
57% |
321
7.83 IPS |
