Xiaomi 24090RA29G
Geekbench AI Score
754
Single Precision Score
765
Half Precision Score
1523
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 28 2025 05:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
312
58.0 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.3 IPS |
|
|
Image Classification (Q)
|
100% |
1091
202.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
455
7.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
461
7.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
1241
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1692
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1712
2.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
2703
3.21 IPS |
|
|
Object Detection (SP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (HP)
|
100% |
350
27.8 IPS |
|
|
Object Detection (Q)
|
83% |
1036
83.6 IPS |
|
|
Face Detection (SP)
|
100% |
957
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
953
11.3 IPS |
|
|
Face Detection (Q)
|
95% |
2585
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1367
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1385
10.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2572
23.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2903
3.77 IPS |
|
|
Style Transfer (HP)
|
89% |
2957
3.84 IPS |
|
|
Style Transfer (Q)
|
98% |
6514
8.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
751
27.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
746
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1525
56.5 IPS |
|
|
Text Classification (SP)
|
100% |
397
529.6 IPS |
|
|
Text Classification (HP)
|
100% |
389
519.1 IPS |
|
|
Text Classification (Q)
|
88% |
698
940.8 IPS |
|
|
Machine Translation (SP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
386
13.7 IPS |
