Xiaomi 24090RA29I
Geekbench AI Score
905
Single Precision Score
893
Half Precision Score
2060
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | anandhu-s |
| Upload Date | December 25 2025 06:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24090RA29I |
| Model ID | Xiaomi 24090RA29I |
| 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% |
456
84.8 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.6 IPS |
|
|
Image Classification (Q)
|
100% |
1469
273.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
511
8.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
476
7.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
1719
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1986
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1949
2.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
3871
4.59 IPS |
|
|
Object Detection (SP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (HP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (Q)
|
83% |
1419
114.6 IPS |
|
|
Face Detection (SP)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (Q)
|
95% |
3470
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1471
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1466
11.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3513
32.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3584
4.65 IPS |
|
|
Style Transfer (HP)
|
89% |
3586
4.66 IPS |
|
|
Style Transfer (Q)
|
98% |
8772
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
820
30.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
815
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2078
77.0 IPS |
|
|
Text Classification (SP)
|
100% |
518
691.8 IPS |
|
|
Text Classification (HP)
|
100% |
508
678.1 IPS |
|
|
Text Classification (Q)
|
88% |
945
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
474
16.8 IPS |
