Xiaomi 23129RA5FL
Geekbench AI Score
150
Single Precision Score
232
Half Precision Score
212
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 01:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
109
20.3 IPS |
|
|
Image Classification (HP)
|
100% |
177
33.0 IPS |
|
|
Image Classification (Q)
|
99% |
168
31.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
153
2.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
243
3.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
226
3.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
534
0.62 IPS |
|
|
Pose Estimation (HP)
|
99% |
884
1.03 IPS |
|
|
Pose Estimation (Q)
|
97% |
872
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
89
7.02 IPS |
|
|
Object Detection (HP)
|
99% |
146
11.6 IPS |
|
|
Object Detection (Q)
|
85% |
137
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
333
3.96 IPS |
|
|
Face Detection (HP)
|
100% |
525
6.24 IPS |
|
|
Face Detection (Q)
|
97% |
482
5.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
328
2.53 IPS |
|
|
Depth Estimation (HP)
|
98% |
503
3.89 IPS |
|
|
Depth Estimation (Q)
|
63% |
415
3.84 IPS |
|
|
Style Transfer (SP)
|
100% |
779
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
1208
1.55 IPS |
|
|
Style Transfer (Q)
|
98% |
1177
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
145
5.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
206
7.62 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
186
6.88 IPS |
|
|
Text Classification (SP)
|
35% |
6
61.7 IPS |
|
|
Text Classification (HP)
|
35% |
10
91.6 IPS |
|
|
Text Classification (Q)
|
35% |
10
89.4 IPS |
|
|
Machine Translation (SP)
|
100% |
102
1.75 IPS |
|
|
Machine Translation (HP)
|
97% |
128
2.21 IPS |
|
|
Machine Translation (Q)
|
64% |
94
1.93 IPS |
