Xiaomi 24090RA29G
Geekbench AI Score
137
Single Precision Score
136
Half Precision Score
386
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | mpoloton |
| Upload Date | July 03 2025 02:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
83
15.4 IPS |
|
|
Image Classification (HP)
|
100% |
81
15.0 IPS |
|
|
Image Classification (Q)
|
99% |
249
46.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
111
1.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
111
1.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
304
4.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
139
0.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
139
0.16 IPS |
|
|
Pose Estimation (Q)
|
98% |
569
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.25 IPS |
|
|
Object Detection (HP)
|
100% |
79
6.27 IPS |
|
|
Object Detection (Q)
|
87% |
259
20.7 IPS |
|
|
Face Detection (SP)
|
100% |
228
2.71 IPS |
|
|
Face Detection (HP)
|
100% |
229
2.72 IPS |
|
|
Face Detection (Q)
|
97% |
603
7.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
175
1.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
175
1.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
495
4.49 IPS |
|
|
Style Transfer (SP)
|
100% |
320
0.41 IPS |
|
|
Style Transfer (HP)
|
100% |
321
0.41 IPS |
|
|
Style Transfer (Q)
|
98% |
1046
1.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
85
3.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
84
3.10 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
339
12.6 IPS |
|
|
Text Classification (SP)
|
100% |
114
152.6 IPS |
|
|
Text Classification (HP)
|
100% |
114
151.8 IPS |
|
|
Text Classification (Q)
|
91% |
285
383.2 IPS |
|
|
Machine Translation (SP)
|
100% |
189
3.26 IPS |
|
|
Machine Translation (HP)
|
100% |
190
3.28 IPS |
|
|
Machine Translation (Q)
|
57% |
220
5.37 IPS |
