Xiaomi 2512BPNDAG
Geekbench AI Score
2187
Single Precision Score
3248
Half Precision Score
2694
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 16 2026 12:29 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 2512BPNDAG |
| Model ID | Xiaomi 2512BPNDAG |
| 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 | 14.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
1881
349.9 IPS |
|
|
Image Classification (Q)
|
100% |
1851
344.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2868
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4848
78.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3896
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10817
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
19544
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19396
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1257
99.7 IPS |
|
|
Object Detection (HP)
|
99% |
1610
127.7 IPS |
|
|
Object Detection (Q)
|
85% |
1513
121.8 IPS |
|
|
Face Detection (SP)
|
100% |
3705
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
6016
71.5 IPS |
|
|
Face Detection (Q)
|
97% |
5493
65.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5666
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
7948
61.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
6026
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13351
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28865
37.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29510
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2961
109.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4332
160.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4180
154.9 IPS |
|
|
Text Classification (SP)
|
35% |
61
592.2 IPS |
|
|
Text Classification (HP)
|
35% |
60
544.2 IPS |
|
|
Text Classification (Q)
|
33% |
47
522.3 IPS |
|
|
Machine Translation (SP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (Q)
|
48% |
496
19.0 IPS |
