Xiaomi 25098PN5AC
Geekbench AI Score
529
Single Precision Score
460
Half Precision Score
1159
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 02:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 25098PN5AC |
| Model ID | Xiaomi 25098PN5AC |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.61 GHz |
| Memory Information | |
|---|---|
| Size | 10.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
483
89.8 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.3 IPS |
|
|
Image Classification (Q)
|
99% |
1274
237.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
575
9.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
1178
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
722
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
355
0.41 IPS |
|
|
Pose Estimation (Q)
|
98% |
1923
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
87% |
819
65.7 IPS |
|
|
Face Detection (SP)
|
100% |
762
9.05 IPS |
|
|
Face Detection (HP)
|
100% |
764
9.07 IPS |
|
|
Face Detection (Q)
|
97% |
1740
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
644
4.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
395
3.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
865
7.85 IPS |
|
|
Style Transfer (SP)
|
100% |
669
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
1020
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
3007
3.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
326
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1131
41.9 IPS |
|
|
Text Classification (SP)
|
100% |
409
546.0 IPS |
|
|
Text Classification (HP)
|
100% |
410
546.7 IPS |
|
|
Text Classification (Q)
|
91% |
658
884.9 IPS |
|
|
Machine Translation (SP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
717
12.4 IPS |
|
|
Machine Translation (Q)
|
57% |
552
13.5 IPS |
