Xiaomi 25118PC98G
Geekbench AI Score
136
Single Precision Score
136
Half Precision Score
373
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | March 02 2026 02:09 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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
15.0 IPS |
|
|
Image Classification (HP)
|
100% |
81
15.0 IPS |
|
|
Image Classification (Q)
|
99% |
257
47.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
110
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% |
139
0.16 IPS |
|
|
Pose Estimation (Q)
|
98% |
573
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.29 IPS |
|
|
Object Detection (HP)
|
100% |
79
6.31 IPS |
|
|
Object Detection (Q)
|
87% |
269
21.6 IPS |
|
|
Face Detection (SP)
|
100% |
232
2.76 IPS |
|
|
Face Detection (HP)
|
100% |
234
2.78 IPS |
|
|
Face Detection (Q)
|
97% |
623
7.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
183
1.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
183
1.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
469
4.26 IPS |
|
|
Style Transfer (SP)
|
100% |
310
0.40 IPS |
|
|
Style Transfer (HP)
|
100% |
332
0.43 IPS |
|
|
Style Transfer (Q)
|
98% |
1064
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
87
3.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
87
3.20 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
282
10.4 IPS |
|
|
Text Classification (SP)
|
100% |
100
133.3 IPS |
|
|
Text Classification (HP)
|
100% |
100
132.9 IPS |
|
|
Text Classification (Q)
|
91% |
237
319.0 IPS |
|
|
Machine Translation (SP)
|
100% |
201
3.47 IPS |
|
|
Machine Translation (HP)
|
100% |
185
3.18 IPS |
|
|
Machine Translation (Q)
|
57% |
211
5.15 IPS |
