Xiaomi 24090RA29G
Geekbench AI Score
499
Single Precision Score
751
Half Precision Score
618
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | KotofAlex |
| Upload Date | December 02 2025 03:39 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 11.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
309
57.5 IPS |
|
|
Image Classification (HP)
|
100% |
555
103.2 IPS |
|
|
Image Classification (Q)
|
97% |
501
93.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
522
8.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
892
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
863
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2051
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3658
4.27 IPS |
|
|
Pose Estimation (Q)
|
95% |
3625
4.25 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.7 IPS |
|
|
Object Detection (HP)
|
99% |
378
30.0 IPS |
|
|
Object Detection (Q)
|
83% |
346
28.0 IPS |
|
|
Face Detection (SP)
|
100% |
978
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
1610
19.1 IPS |
|
|
Face Detection (Q)
|
96% |
1443
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1372
10.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2104
16.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
1682
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3461
4.45 IPS |
|
|
Style Transfer (HP)
|
100% |
6444
8.28 IPS |
|
|
Style Transfer (Q)
|
98% |
6284
8.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
653
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1009
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1020
37.8 IPS |
|
|
Text Classification (SP)
|
35% |
13
114.9 IPS |
|
|
Text Classification (HP)
|
29% |
9
158.5 IPS |
|
|
Text Classification (Q)
|
32% |
11
143.8 IPS |
|
|
Machine Translation (SP)
|
100% |
314
5.42 IPS |
|
|
Machine Translation (HP)
|
100% |
422
7.27 IPS |
|
|
Machine Translation (Q)
|
43% |
88
5.12 IPS |
