Xiaomi 25069PTEBG
Geekbench AI Score
1365
Single Precision Score
1395
Half Precision Score
1998
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 04:54 PM |
| Views | 1 |
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% |
959
178.4 IPS |
|
|
Image Classification (HP)
|
100% |
1143
212.5 IPS |
|
|
Image Classification (Q)
|
100% |
1723
320.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1231
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1212
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1801
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2168
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2217
2.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
4469
5.30 IPS |
|
|
Object Detection (SP)
|
98% |
962
76.5 IPS |
|
|
Object Detection (HP)
|
98% |
963
76.6 IPS |
|
|
Object Detection (Q)
|
83% |
1325
107.0 IPS |
|
|
Face Detection (SP)
|
100% |
2275
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
2320
27.6 IPS |
|
|
Face Detection (Q)
|
95% |
3125
37.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2044
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2044
15.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3314
30.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5098
6.62 IPS |
|
|
Style Transfer (HP)
|
89% |
5059
6.57 IPS |
|
|
Style Transfer (Q)
|
98% |
9038
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
933
34.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
993
36.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2319
85.9 IPS |
|
|
Text Classification (SP)
|
100% |
447
596.3 IPS |
|
|
Text Classification (HP)
|
99% |
446
596.0 IPS |
|
|
Text Classification (Q)
|
88% |
685
923.4 IPS |
|
|
Machine Translation (SP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (Q)
|
50% |
372
13.2 IPS |
