Xiaomi 24090RA29G
Geekbench AI Score
138
Single Precision Score
138
Half Precision Score
390
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 13 2025 11:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24090RA29G |
| Model ID | Xiaomi 24090RA29G |
| Motherboard | malachite |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
80
14.9 IPS |
|
|
Image Classification (HP)
|
100% |
81
15.1 IPS |
|
|
Image Classification (Q)
|
99% |
251
46.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
112
1.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
112
1.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
309
5.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
139
0.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
140
0.16 IPS |
|
|
Pose Estimation (Q)
|
98% |
569
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
81
6.39 IPS |
|
|
Object Detection (HP)
|
100% |
80
6.31 IPS |
|
|
Object Detection (Q)
|
87% |
259
20.8 IPS |
|
|
Face Detection (SP)
|
100% |
229
2.72 IPS |
|
|
Face Detection (HP)
|
100% |
229
2.72 IPS |
|
|
Face Detection (Q)
|
97% |
621
7.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
176
1.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
177
1.36 IPS |
|
|
Depth Estimation (Q)
|
64% |
503
4.57 IPS |
|
|
Style Transfer (SP)
|
100% |
326
0.42 IPS |
|
|
Style Transfer (HP)
|
100% |
326
0.42 IPS |
|
|
Style Transfer (Q)
|
98% |
1061
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
86
3.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
86
3.16 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
347
12.9 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.5 IPS |
|
|
Text Classification (HP)
|
100% |
115
153.6 IPS |
|
|
Text Classification (Q)
|
91% |
287
386.0 IPS |
|
|
Machine Translation (SP)
|
100% |
192
3.31 IPS |
|
|
Machine Translation (HP)
|
100% |
193
3.32 IPS |
|
|
Machine Translation (Q)
|
57% |
221
5.40 IPS |
