Xiaomi 25069PTEBG
Geekbench AI Score
1336
Single Precision Score
1356
Half Precision Score
1974
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 01 2025 03:37 PM |
| Views | 45 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25069PTEBG |
| Model ID | Xiaomi 25069PTEBG |
| Motherboard | goya |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3463 revision 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores @ 2.10 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 11.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
763
141.9 IPS |
|
|
Image Classification (HP)
|
100% |
996
185.3 IPS |
|
|
Image Classification (Q)
|
100% |
1727
321.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1216
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1698
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2208
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2163
2.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
4441
5.27 IPS |
|
|
Object Detection (SP)
|
98% |
980
78.0 IPS |
|
|
Object Detection (HP)
|
98% |
1032
82.1 IPS |
|
|
Object Detection (Q)
|
83% |
1450
117.1 IPS |
|
|
Face Detection (SP)
|
100% |
2286
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2227
26.5 IPS |
|
|
Face Detection (Q)
|
95% |
3156
37.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2075
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1991
15.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3210
29.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4909
6.37 IPS |
|
|
Style Transfer (HP)
|
89% |
5099
6.62 IPS |
|
|
Style Transfer (Q)
|
98% |
9030
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
939
34.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
947
35.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2276
84.3 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.4 IPS |
|
|
Text Classification (HP)
|
99% |
454
605.6 IPS |
|
|
Text Classification (Q)
|
88% |
703
948.4 IPS |
|
|
Machine Translation (SP)
|
100% |
972
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (Q)
|
50% |
326
11.6 IPS |
