Xiaomi 25118PC98G
Geekbench AI Score
124
Single Precision Score
123
Half Precision Score
348
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | March 02 2026 12:42 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25118PC98G |
| Model ID | Xiaomi 25118PC98G |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
80
14.9 IPS |
|
|
Image Classification (HP)
|
100% |
81
15.0 IPS |
|
|
Image Classification (Q)
|
99% |
257
48.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
111
1.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
111
1.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
301
4.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
139
0.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
119
0.14 IPS |
|
|
Pose Estimation (Q)
|
98% |
489
0.57 IPS |
|
|
Object Detection (SP)
|
100% |
67
5.34 IPS |
|
|
Object Detection (HP)
|
100% |
68
5.36 IPS |
|
|
Object Detection (Q)
|
87% |
229
18.4 IPS |
|
|
Face Detection (SP)
|
100% |
200
2.38 IPS |
|
|
Face Detection (HP)
|
100% |
201
2.38 IPS |
|
|
Face Detection (Q)
|
97% |
532
6.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
156
1.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
156
1.20 IPS |
|
|
Depth Estimation (Q)
|
64% |
442
4.01 IPS |
|
|
Style Transfer (SP)
|
100% |
288
0.37 IPS |
|
|
Style Transfer (HP)
|
100% |
287
0.37 IPS |
|
|
Style Transfer (Q)
|
98% |
924
1.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74
2.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
74
2.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
283
10.5 IPS |
|
|
Text Classification (SP)
|
100% |
97
129.0 IPS |
|
|
Text Classification (HP)
|
100% |
97
129.1 IPS |
|
|
Text Classification (Q)
|
91% |
237
318.0 IPS |
|
|
Machine Translation (SP)
|
100% |
169
2.92 IPS |
|
|
Machine Translation (HP)
|
100% |
170
2.92 IPS |
|
|
Machine Translation (Q)
|
57% |
211
5.16 IPS |
