Xiaomi 24090RA29G
Geekbench AI Score
813
Single Precision Score
804
Half Precision Score
1651
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 05 2025 01:05 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% |
387
71.9 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.6 IPS |
|
|
Image Classification (Q)
|
100% |
1476
274.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
529
8.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
1691
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1967
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1714
2.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
3191
3.78 IPS |
|
|
Object Detection (SP)
|
100% |
447
35.4 IPS |
|
|
Object Detection (HP)
|
100% |
409
32.5 IPS |
|
|
Object Detection (Q)
|
83% |
1054
85.1 IPS |
|
|
Face Detection (SP)
|
100% |
965
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
978
11.6 IPS |
|
|
Face Detection (Q)
|
95% |
2615
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1418
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1355
10.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2567
23.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2930
3.80 IPS |
|
|
Style Transfer (HP)
|
89% |
2921
3.79 IPS |
|
|
Style Transfer (Q)
|
98% |
6522
8.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
746
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1529
56.6 IPS |
|
|
Text Classification (SP)
|
100% |
385
514.5 IPS |
|
|
Text Classification (HP)
|
100% |
391
522.0 IPS |
|
|
Text Classification (Q)
|
88% |
699
943.2 IPS |
|
|
Machine Translation (SP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
385
13.7 IPS |
