Xiaomi 2506BPN68R
Geekbench AI Score
1805
Single Precision Score
1809
Half Precision Score
2615
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 17 2025 11:54 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2506BPN68R |
| Model ID | Xiaomi 2506BPN68R |
| 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% |
1107
206.0 IPS |
|
|
Image Classification (HP)
|
100% |
1151
214.1 IPS |
|
|
Image Classification (Q)
|
100% |
1881
349.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2070
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2667
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2678
3.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
5222
6.19 IPS |
|
|
Object Detection (SP)
|
98% |
1147
91.2 IPS |
|
|
Object Detection (HP)
|
98% |
1119
89.0 IPS |
|
|
Object Detection (Q)
|
83% |
1791
144.7 IPS |
|
|
Face Detection (SP)
|
100% |
2618
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
2685
31.9 IPS |
|
|
Face Detection (Q)
|
95% |
4134
49.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3198
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3180
24.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4301
39.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6279
8.15 IPS |
|
|
Style Transfer (HP)
|
89% |
6283
8.16 IPS |
|
|
Style Transfer (Q)
|
98% |
11361
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1427
52.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1415
52.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2760
102.3 IPS |
|
|
Text Classification (SP)
|
100% |
618
824.7 IPS |
|
|
Text Classification (HP)
|
99% |
616
822.6 IPS |
|
|
Text Classification (Q)
|
88% |
1078
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1580
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1574
27.1 IPS |
|
|
Machine Translation (Q)
|
50% |
685
24.3 IPS |
