Xiaomi 24090RA29G
Geekbench AI Score
536
Single Precision Score
860
Half Precision Score
656
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 19 2026 02:44 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% |
286
53.2 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.8 IPS |
|
|
Image Classification (Q)
|
97% |
453
84.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
531
8.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
911
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
859
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2161
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3796
4.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
3732
4.37 IPS |
|
|
Object Detection (SP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (HP)
|
99% |
483
38.3 IPS |
|
|
Object Detection (Q)
|
83% |
417
33.7 IPS |
|
|
Face Detection (SP)
|
100% |
1041
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1568
18.6 IPS |
|
|
Face Detection (Q)
|
96% |
1476
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1370
10.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2344
18.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
1698
16.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3676
4.73 IPS |
|
|
Style Transfer (HP)
|
100% |
6854
8.81 IPS |
|
|
Style Transfer (Q)
|
98% |
6789
8.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1204
44.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1206
44.7 IPS |
|
|
Text Classification (SP)
|
35% |
16
149.8 IPS |
|
|
Text Classification (HP)
|
35% |
24
214.2 IPS |
|
|
Text Classification (Q)
|
29% |
12
212.2 IPS |
|
|
Machine Translation (SP)
|
100% |
359
6.19 IPS |
|
|
Machine Translation (HP)
|
100% |
391
6.73 IPS |
|
|
Machine Translation (Q)
|
43% |
100
5.81 IPS |
