Xiaomi 23129RA5FL
Geekbench AI Score
348
Single Precision Score
358
Half Precision Score
395
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 10:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 23129RA5FL |
| Model ID | Xiaomi 23129RA5FL |
| 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% |
169
31.5 IPS |
|
|
Image Classification (HP)
|
100% |
192
35.8 IPS |
|
|
Image Classification (Q)
|
100% |
193
35.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
211
3.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
212
3.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
452
7.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
862
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
903
1.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
801
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (Q)
|
83% |
358
28.9 IPS |
|
|
Face Detection (SP)
|
100% |
504
5.99 IPS |
|
|
Face Detection (HP)
|
100% |
498
5.92 IPS |
|
|
Face Detection (Q)
|
95% |
835
9.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
608
4.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
687
5.29 IPS |
|
|
Depth Estimation (Q)
|
64% |
837
7.67 IPS |
|
|
Style Transfer (SP)
|
89% |
1546
2.01 IPS |
|
|
Style Transfer (HP)
|
89% |
1580
2.05 IPS |
|
|
Style Transfer (Q)
|
98% |
2093
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
381
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
193
7.15 IPS |
|
|
Text Classification (SP)
|
100% |
125
167.0 IPS |
|
|
Text Classification (HP)
|
100% |
122
162.5 IPS |
|
|
Text Classification (Q)
|
88% |
137
184.3 IPS |
|
|
Machine Translation (SP)
|
100% |
203
3.50 IPS |
|
|
Machine Translation (HP)
|
100% |
204
3.52 IPS |
|
|
Machine Translation (Q)
|
50% |
96
3.41 IPS |
