Xiaomi 23129RAA4G
Geekbench AI Score
88
Single Precision Score
88
Half Precision Score
132
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | 5hR3kY |
| Upload Date | March 06 2025 11:37 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
49
9.15 IPS |
|
|
Image Classification (HP)
|
100% |
50
9.26 IPS |
|
|
Image Classification (Q)
|
99% |
84
15.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
67
1.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
67
1.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
92
1.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
94
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
94
0.11 IPS |
|
|
Pose Estimation (Q)
|
98% |
188
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
53
4.22 IPS |
|
|
Object Detection (HP)
|
100% |
53
4.23 IPS |
|
|
Object Detection (Q)
|
87% |
93
7.49 IPS |
|
|
Face Detection (SP)
|
100% |
137
1.63 IPS |
|
|
Face Detection (HP)
|
100% |
131
1.56 IPS |
|
|
Face Detection (Q)
|
97% |
199
2.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
115
0.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
115
0.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
167
1.52 IPS |
|
|
Style Transfer (SP)
|
100% |
215
0.28 IPS |
|
|
Style Transfer (HP)
|
100% |
216
0.28 IPS |
|
|
Style Transfer (Q)
|
98% |
402
0.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57
2.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57
2.10 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
105
3.89 IPS |
|
|
Text Classification (SP)
|
100% |
72
95.7 IPS |
|
|
Text Classification (HP)
|
100% |
72
95.5 IPS |
|
|
Text Classification (Q)
|
91% |
92
123.3 IPS |
|
|
Machine Translation (SP)
|
100% |
125
2.16 IPS |
|
|
Machine Translation (HP)
|
100% |
125
2.14 IPS |
|
|
Machine Translation (Q)
|
57% |
93
2.27 IPS |
