Xiaomi 23129RAA4G
Geekbench AI Score
393
Single Precision Score
392
Half Precision Score
501
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | 5hR3kY |
| Upload Date | March 06 2025 10:15 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 23129RAA4G |
| Model ID | Xiaomi 23129RAA4G |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
193
35.9 IPS |
|
|
Image Classification (HP)
|
100% |
193
36.0 IPS |
|
|
Image Classification (Q)
|
100% |
354
65.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
226
3.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
242
3.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
456
7.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
918
1.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
911
1.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
745
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (HP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (Q)
|
83% |
336
27.2 IPS |
|
|
Face Detection (SP)
|
100% |
503
5.97 IPS |
|
|
Face Detection (HP)
|
100% |
502
5.96 IPS |
|
|
Face Detection (Q)
|
95% |
792
9.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
716
5.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
685
5.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
772
7.07 IPS |
|
|
Style Transfer (SP)
|
89% |
1455
1.89 IPS |
|
|
Style Transfer (HP)
|
89% |
1446
1.88 IPS |
|
|
Style Transfer (Q)
|
98% |
1914
2.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
369
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
414
15.3 IPS |
|
|
Text Classification (SP)
|
100% |
197
263.0 IPS |
|
|
Text Classification (HP)
|
100% |
196
261.9 IPS |
|
|
Text Classification (Q)
|
88% |
292
394.3 IPS |
|
|
Machine Translation (SP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (Q)
|
50% |
175
6.20 IPS |
