Xiaomi 24090RA29G
Geekbench AI Score
905
Single Precision Score
898
Half Precision Score
2086
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | skikitt |
| Upload Date | April 16 2025 05:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
443
82.3 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.5 IPS |
|
|
Image Classification (Q)
|
100% |
1496
278.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
528
8.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
485
7.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
1714
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1919
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1935
2.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
3849
4.57 IPS |
|
|
Object Detection (SP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (HP)
|
100% |
451
35.7 IPS |
|
|
Object Detection (Q)
|
83% |
1435
115.9 IPS |
|
|
Face Detection (SP)
|
100% |
1024
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1000
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
3437
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1506
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1492
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3536
32.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3517
4.57 IPS |
|
|
Style Transfer (HP)
|
89% |
3590
4.66 IPS |
|
|
Style Transfer (Q)
|
98% |
8706
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
814
30.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
823
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2021
74.9 IPS |
|
|
Text Classification (SP)
|
100% |
537
716.4 IPS |
|
|
Text Classification (HP)
|
100% |
529
706.2 IPS |
|
|
Text Classification (Q)
|
88% |
1042
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
777
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (Q)
|
50% |
496
17.6 IPS |
