Xiaomi 25118PC98G
Geekbench AI Score
812
Single Precision Score
1454
Half Precision Score
1732
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | March 01 2026 11:58 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
374
69.6 IPS |
|
|
Image Classification (HP)
|
100% |
817
152.0 IPS |
|
|
Image Classification (Q)
|
99% |
1227
228.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
935
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1465
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1865
2.18 IPS |
|
|
Pose Estimation (HP)
|
92% |
3873
4.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
3023
3.54 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
97% |
742
59.1 IPS |
|
|
Object Detection (Q)
|
85% |
1128
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
1028
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1933
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
2819
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1452
11.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2884
22.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2727
25.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3140
4.08 IPS |
|
|
Style Transfer (HP)
|
88% |
4132
5.37 IPS |
|
|
Style Transfer (Q)
|
98% |
6903
8.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
801
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1594
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1662
61.6 IPS |
|
|
Text Classification (SP)
|
100% |
400
533.4 IPS |
|
|
Text Classification (HP)
|
100% |
653
872.1 IPS |
|
|
Text Classification (Q)
|
93% |
763
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (HP)
|
96% |
806
13.9 IPS |
|
|
Machine Translation (Q)
|
55% |
590
15.8 IPS |
