Xiaomi 12S Ultra
Geekbench AI Score
343
Single Precision Score
345
Half Precision Score
857
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 26 2025 06:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 12S Ultra |
| Model ID | Xiaomi 2203121C |
| Motherboard | thor |
| Governor | performance |
| 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 | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
201
37.4 IPS |
|
|
Image Classification (HP)
|
100% |
207
38.4 IPS |
|
|
Image Classification (Q)
|
99% |
572
106.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
265
4.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
632
10.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
346
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
349
0.41 IPS |
|
|
Pose Estimation (Q)
|
98% |
1441
1.69 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (Q)
|
87% |
613
49.2 IPS |
|
|
Face Detection (SP)
|
100% |
535
6.36 IPS |
|
|
Face Detection (HP)
|
100% |
541
6.42 IPS |
|
|
Face Detection (Q)
|
97% |
1354
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
445
3.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
452
3.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
1171
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
772
0.99 IPS |
|
|
Style Transfer (HP)
|
100% |
774
1.00 IPS |
|
|
Style Transfer (Q)
|
98% |
2031
2.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
222
8.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
222
8.22 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
850
31.5 IPS |
|
|
Text Classification (SP)
|
100% |
308
411.5 IPS |
|
|
Text Classification (HP)
|
100% |
307
409.2 IPS |
|
|
Text Classification (Q)
|
91% |
552
741.6 IPS |
|
|
Machine Translation (SP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (Q)
|
57% |
448
11.0 IPS |
