Xiaomi 24090RA29C
Geekbench AI Score
137
Single Precision Score
137
Half Precision Score
397
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 24 2025 02:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
80
15.0 IPS |
|
|
Image Classification (HP)
|
100% |
81
15.1 IPS |
|
|
Image Classification (Q)
|
99% |
261
48.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
111
1.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
112
1.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
305
4.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
139
0.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
138
0.16 IPS |
|
|
Pose Estimation (Q)
|
98% |
572
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.25 IPS |
|
|
Object Detection (HP)
|
100% |
79
6.26 IPS |
|
|
Object Detection (Q)
|
87% |
272
21.8 IPS |
|
|
Face Detection (SP)
|
100% |
230
2.73 IPS |
|
|
Face Detection (HP)
|
100% |
229
2.72 IPS |
|
|
Face Detection (Q)
|
97% |
609
7.27 IPS |
|
|
Depth Estimation (SP)
|
100% |
175
1.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
176
1.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
510
4.63 IPS |
|
|
Style Transfer (SP)
|
100% |
321
0.41 IPS |
|
|
Style Transfer (HP)
|
100% |
321
0.41 IPS |
|
|
Style Transfer (Q)
|
98% |
1051
1.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
84
3.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
85
3.13 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
342
12.7 IPS |
|
|
Text Classification (SP)
|
100% |
115
152.9 IPS |
|
|
Text Classification (HP)
|
100% |
115
153.5 IPS |
|
|
Text Classification (Q)
|
91% |
288
386.6 IPS |
|
|
Machine Translation (SP)
|
100% |
192
3.31 IPS |
|
|
Machine Translation (HP)
|
100% |
190
3.28 IPS |
|
|
Machine Translation (Q)
|
57% |
247
6.04 IPS |
