Xiaomi 24090RA29G
Geekbench AI Score
524
Single Precision Score
808
Half Precision Score
641
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 19 2026 02:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
279
51.9 IPS |
|
|
Image Classification (HP)
|
100% |
479
89.1 IPS |
|
|
Image Classification (Q)
|
97% |
433
80.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
531
8.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
914
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
841
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2163
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3844
4.49 IPS |
|
|
Pose Estimation (Q)
|
95% |
3745
4.39 IPS |
|
|
Object Detection (SP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (HP)
|
99% |
470
37.3 IPS |
|
|
Object Detection (Q)
|
83% |
433
35.0 IPS |
|
|
Face Detection (SP)
|
100% |
1096
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1693
20.1 IPS |
|
|
Face Detection (Q)
|
96% |
1369
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1403
10.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2342
18.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
1858
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3714
4.77 IPS |
|
|
Style Transfer (HP)
|
100% |
6907
8.88 IPS |
|
|
Style Transfer (Q)
|
98% |
6708
8.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
756
27.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1206
44.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1186
44.0 IPS |
|
|
Text Classification (SP)
|
35% |
14
124.1 IPS |
|
|
Text Classification (HP)
|
29% |
12
201.8 IPS |
|
|
Text Classification (Q)
|
32% |
10
130.5 IPS |
|
|
Machine Translation (SP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (Q)
|
43% |
99
5.76 IPS |
