Xiaomi 23129RAA4G
Geekbench AI Score
153
Single Precision Score
233
Half Precision Score
213
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 09:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 23129RAA4G |
| Model ID | Xiaomi 23129RAA4G |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
110
20.4 IPS |
|
|
Image Classification (HP)
|
100% |
177
33.0 IPS |
|
|
Image Classification (Q)
|
99% |
170
31.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
160
2.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
229
3.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
551
0.64 IPS |
|
|
Pose Estimation (HP)
|
99% |
899
1.05 IPS |
|
|
Pose Estimation (Q)
|
97% |
889
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
93
7.37 IPS |
|
|
Object Detection (HP)
|
99% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
85% |
137
11.1 IPS |
|
|
Face Detection (SP)
|
100% |
341
4.05 IPS |
|
|
Face Detection (HP)
|
100% |
535
6.36 IPS |
|
|
Face Detection (Q)
|
97% |
492
5.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
335
2.58 IPS |
|
|
Depth Estimation (HP)
|
98% |
516
3.99 IPS |
|
|
Depth Estimation (Q)
|
63% |
425
3.93 IPS |
|
|
Style Transfer (SP)
|
100% |
801
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
1241
1.60 IPS |
|
|
Style Transfer (Q)
|
98% |
1182
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
140
5.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
203
7.50 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
183
6.78 IPS |
|
|
Text Classification (SP)
|
35% |
6
60.7 IPS |
|
|
Text Classification (HP)
|
35% |
10
93.5 IPS |
|
|
Text Classification (Q)
|
35% |
10
91.1 IPS |
|
|
Machine Translation (SP)
|
100% |
103
1.78 IPS |
|
|
Machine Translation (HP)
|
97% |
119
2.06 IPS |
|
|
Machine Translation (Q)
|
64% |
90
1.84 IPS |
