Xiaomi 2506BPN68G
Geekbench AI Score
1372
Single Precision Score
1362
Half Precision Score
1953
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 05 2025 02:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 11.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
850
158.1 IPS |
|
|
Image Classification (HP)
|
100% |
851
158.3 IPS |
|
|
Image Classification (Q)
|
100% |
1377
256.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1536
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2112
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2097
2.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
3998
4.74 IPS |
|
|
Object Detection (SP)
|
98% |
878
69.8 IPS |
|
|
Object Detection (HP)
|
98% |
836
66.5 IPS |
|
|
Object Detection (Q)
|
83% |
1348
108.9 IPS |
|
|
Face Detection (SP)
|
100% |
2006
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
1961
23.3 IPS |
|
|
Face Detection (Q)
|
95% |
3040
36.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2328
18.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2309
17.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3188
29.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4941
6.41 IPS |
|
|
Style Transfer (HP)
|
89% |
5030
6.53 IPS |
|
|
Style Transfer (Q)
|
98% |
8801
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1085
40.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1095
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2036
75.4 IPS |
|
|
Text Classification (SP)
|
100% |
459
612.1 IPS |
|
|
Text Classification (HP)
|
99% |
461
615.1 IPS |
|
|
Text Classification (Q)
|
88% |
806
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1168
20.1 IPS |
|
|
Machine Translation (Q)
|
50% |
508
18.0 IPS |
