Xiaomi 24090RA29I
Geekbench AI Score
137
Single Precision Score
137
Half Precision Score
389
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | anandhu-s |
| Upload Date | December 25 2025 07:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24090RA29I |
| Model ID | Xiaomi 24090RA29I |
| 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% |
82
15.3 IPS |
|
|
Image Classification (HP)
|
100% |
81
15.1 IPS |
|
|
Image Classification (Q)
|
99% |
251
46.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
111
1.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
111
1.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
305
4.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
139
0.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
139
0.16 IPS |
|
|
Pose Estimation (Q)
|
98% |
569
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.26 IPS |
|
|
Object Detection (HP)
|
100% |
79
6.27 IPS |
|
|
Object Detection (Q)
|
87% |
259
20.8 IPS |
|
|
Face Detection (SP)
|
100% |
229
2.72 IPS |
|
|
Face Detection (HP)
|
100% |
228
2.71 IPS |
|
|
Face Detection (Q)
|
97% |
609
7.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
175
1.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
176
1.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
504
4.58 IPS |
|
|
Style Transfer (SP)
|
100% |
322
0.41 IPS |
|
|
Style Transfer (HP)
|
100% |
322
0.41 IPS |
|
|
Style Transfer (Q)
|
98% |
1051
1.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
86
3.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
85
3.14 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
345
12.8 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.0 IPS |
|
|
Text Classification (HP)
|
100% |
115
153.7 IPS |
|
|
Text Classification (Q)
|
91% |
286
383.8 IPS |
|
|
Machine Translation (SP)
|
100% |
191
3.29 IPS |
|
|
Machine Translation (HP)
|
100% |
192
3.31 IPS |
|
|
Machine Translation (Q)
|
57% |
223
5.45 IPS |
