Xiaomi 24090RA29C
Geekbench AI Score
489
Single Precision Score
694
Half Precision Score
588
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 24 2025 02:28 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
243
45.2 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.4 IPS |
|
|
Image Classification (Q)
|
97% |
307
57.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
538
8.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
896
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
860
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2157
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3811
4.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
3754
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
99% |
374
29.7 IPS |
|
|
Object Detection (Q)
|
83% |
369
29.8 IPS |
|
|
Face Detection (SP)
|
100% |
1006
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1548
18.4 IPS |
|
|
Face Detection (Q)
|
96% |
1412
16.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1306
10.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2147
16.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1727
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3638
4.68 IPS |
|
|
Style Transfer (HP)
|
100% |
6415
8.25 IPS |
|
|
Style Transfer (Q)
|
98% |
6420
8.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
657
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
968
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
994
36.8 IPS |
|
|
Text Classification (SP)
|
35% |
12
111.9 IPS |
|
|
Text Classification (HP)
|
29% |
7
126.5 IPS |
|
|
Text Classification (Q)
|
32% |
9
121.2 IPS |
|
|
Machine Translation (SP)
|
100% |
328
5.66 IPS |
|
|
Machine Translation (HP)
|
100% |
392
6.75 IPS |
|
|
Machine Translation (Q)
|
43% |
97
5.67 IPS |
