Xiaomi 24090RA29G
Geekbench AI Score
114
Single Precision Score
116
Half Precision Score
329
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 25 2025 06:47 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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
15.5 IPS |
|
|
Image Classification (HP)
|
100% |
81
15.1 IPS |
|
|
Image Classification (Q)
|
99% |
263
49.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
110
1.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
109
1.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
309
5.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
136
0.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
135
0.16 IPS |
|
|
Pose Estimation (Q)
|
98% |
500
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
63
5.04 IPS |
|
|
Object Detection (HP)
|
100% |
72
5.72 IPS |
|
|
Object Detection (Q)
|
87% |
234
18.8 IPS |
|
|
Face Detection (SP)
|
100% |
175
2.08 IPS |
|
|
Face Detection (HP)
|
100% |
175
2.07 IPS |
|
|
Face Detection (Q)
|
97% |
465
5.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
135
1.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
136
1.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
391
3.55 IPS |
|
|
Style Transfer (SP)
|
100% |
248
0.32 IPS |
|
|
Style Transfer (HP)
|
100% |
249
0.32 IPS |
|
|
Style Transfer (Q)
|
98% |
817
1.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65
2.40 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66
2.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
260
9.62 IPS |
|
|
Text Classification (SP)
|
100% |
88
118.0 IPS |
|
|
Text Classification (HP)
|
100% |
89
118.7 IPS |
|
|
Text Classification (Q)
|
91% |
219
293.9 IPS |
|
|
Machine Translation (SP)
|
100% |
151
2.60 IPS |
|
|
Machine Translation (HP)
|
100% |
152
2.61 IPS |
|
|
Machine Translation (Q)
|
57% |
187
4.57 IPS |
