Xiaomi 24090RA29C
Geekbench AI Score
938
Single Precision Score
935
Half Precision Score
2120
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 24 2025 02:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 24090RA29C |
| Model ID | Xiaomi 24090RA29C |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
475
88.4 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.5 IPS |
|
|
Image Classification (Q)
|
100% |
1499
278.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
1746
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2014
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2048
2.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
3901
4.63 IPS |
|
|
Object Detection (SP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (HP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (Q)
|
83% |
1443
116.6 IPS |
|
|
Face Detection (SP)
|
100% |
1079
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1058
12.6 IPS |
|
|
Face Detection (Q)
|
95% |
3431
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1516
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1542
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3555
32.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3713
4.82 IPS |
|
|
Style Transfer (HP)
|
89% |
3712
4.82 IPS |
|
|
Style Transfer (Q)
|
98% |
8822
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
871
32.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
853
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2133
79.1 IPS |
|
|
Text Classification (SP)
|
100% |
540
721.2 IPS |
|
|
Text Classification (HP)
|
100% |
535
714.5 IPS |
|
|
Text Classification (Q)
|
88% |
1050
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
781
13.4 IPS |
|
|
Machine Translation (Q)
|
50% |
518
18.4 IPS |
