Xiaomi 2506BPN68G
Geekbench AI Score
1098
Single Precision Score
1636
Half Precision Score
1374
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 10 2026 05:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 2506BPN68G |
| Model ID | Xiaomi 2506BPN68G |
| Motherboard | klimt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.73 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
575
107.0 IPS |
|
|
Image Classification (HP)
|
100% |
915
170.2 IPS |
|
|
Image Classification (Q)
|
97% |
1026
191.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2310
37.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2100
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5475
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
10366
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10109
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (HP)
|
99% |
772
61.2 IPS |
|
|
Object Detection (Q)
|
83% |
753
60.8 IPS |
|
|
Face Detection (SP)
|
100% |
2572
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
4136
49.1 IPS |
|
|
Face Detection (Q)
|
96% |
3435
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2908
22.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5079
39.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
3979
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9213
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
17556
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17137
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1874
69.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2666
98.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2534
93.9 IPS |
|
|
Text Classification (SP)
|
35% |
27
242.7 IPS |
|
|
Text Classification (HP)
|
29% |
17
286.1 IPS |
|
|
Text Classification (Q)
|
32% |
22
287.2 IPS |
|
|
Machine Translation (SP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (HP)
|
100% |
486
8.37 IPS |
|
|
Machine Translation (Q)
|
43% |
112
6.52 IPS |
