Xiaomi 25128PNA1G
Geekbench AI Score
1973
Single Precision Score
3322
Half Precision Score
4754
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 17 2026 05:54 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 25128PNA1G |
| Model ID | Xiaomi 25128PNA1G |
| 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 | 14.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1141
212.1 IPS |
|
|
Image Classification (HP)
|
100% |
2223
413.3 IPS |
|
|
Image Classification (Q)
|
99% |
4229
788.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2796
45.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5443
88.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5543
6.47 IPS |
|
|
Pose Estimation (HP)
|
92% |
8426
9.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
11009
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
889
70.5 IPS |
|
|
Object Detection (HP)
|
97% |
1690
134.5 IPS |
|
|
Object Detection (Q)
|
85% |
3480
280.3 IPS |
|
|
Face Detection (SP)
|
100% |
2586
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
4808
57.1 IPS |
|
|
Face Detection (Q)
|
97% |
7549
90.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3611
27.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6617
51.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
8449
77.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6208
8.06 IPS |
|
|
Style Transfer (HP)
|
88% |
10113
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20513
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1865
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
3598
133.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5364
198.8 IPS |
|
|
Text Classification (SP)
|
100% |
760
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1045
1.40 KIPS |
|
|
Text Classification (Q)
|
93% |
1065
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1218
21.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1533
26.5 IPS |
|
|
Machine Translation (Q)
|
55% |
896
24.1 IPS |
