Xiaomi 23129RA5FL
Geekbench AI Score
328
Single Precision Score
328
Half Precision Score
367
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 01:11 AM |
| Views | 4 |
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 | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
172
31.9 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (Q)
|
100% |
317
58.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
220
3.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
397
6.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
821
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
848
0.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
699
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
83% |
289
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
448
5.32 IPS |
|
|
Face Detection (HP)
|
100% |
446
5.30 IPS |
|
|
Face Detection (Q)
|
95% |
660
7.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
656
5.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
643
4.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
678
6.21 IPS |
|
|
Style Transfer (SP)
|
89% |
1307
1.70 IPS |
|
|
Style Transfer (HP)
|
89% |
1324
1.72 IPS |
|
|
Style Transfer (Q)
|
98% |
1760
2.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
333
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
333
12.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
189
6.99 IPS |
|
|
Text Classification (SP)
|
100% |
122
162.4 IPS |
|
|
Text Classification (HP)
|
100% |
119
159.4 IPS |
|
|
Text Classification (Q)
|
88% |
131
176.8 IPS |
|
|
Machine Translation (SP)
|
100% |
196
3.38 IPS |
|
|
Machine Translation (HP)
|
100% |
193
3.32 IPS |
|
|
Machine Translation (Q)
|
50% |
90
3.18 IPS |
