Xiaomi 25069PTEBG
Geekbench AI Score
963
Single Precision Score
1233
Half Precision Score
1043
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 04:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
627
116.6 IPS |
|
|
Image Classification (HP)
|
100% |
646
120.2 IPS |
|
|
Image Classification (Q)
|
97% |
569
106.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1104
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1534
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6158
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
9996
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9864
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (HP)
|
99% |
701
55.6 IPS |
|
|
Object Detection (Q)
|
83% |
817
66.0 IPS |
|
|
Face Detection (SP)
|
100% |
2237
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
2983
35.4 IPS |
|
|
Face Detection (Q)
|
96% |
2717
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2734
21.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3608
27.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
2798
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8151
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15916
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
16515
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1367
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1970
72.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2181
80.8 IPS |
|
|
Text Classification (SP)
|
35% |
15
139.0 IPS |
|
|
Text Classification (HP)
|
29% |
9
157.1 IPS |
|
|
Text Classification (Q)
|
29% |
9
147.6 IPS |
|
|
Machine Translation (SP)
|
100% |
340
5.85 IPS |
|
|
Machine Translation (HP)
|
100% |
357
6.14 IPS |
|
|
Machine Translation (Q)
|
43% |
88
5.10 IPS |
