Xiaomi 2506BPN68G
Geekbench AI Score
1806
Single Precision Score
1812
Half Precision Score
2617
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 04:50 AM |
| Views | 4 |
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 | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1097
204.0 IPS |
|
|
Image Classification (HP)
|
100% |
1137
211.4 IPS |
|
|
Image Classification (Q)
|
100% |
1904
354.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2087
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2724
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2712
3.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
5360
6.36 IPS |
|
|
Object Detection (SP)
|
98% |
1134
90.2 IPS |
|
|
Object Detection (HP)
|
98% |
1140
90.7 IPS |
|
|
Object Detection (Q)
|
83% |
1776
143.4 IPS |
|
|
Face Detection (SP)
|
100% |
2633
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
2620
31.1 IPS |
|
|
Face Detection (Q)
|
95% |
4127
49.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3173
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3192
24.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4305
39.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6355
8.25 IPS |
|
|
Style Transfer (HP)
|
89% |
6361
8.26 IPS |
|
|
Style Transfer (Q)
|
98% |
11471
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1423
52.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1433
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2779
103.0 IPS |
|
|
Text Classification (SP)
|
100% |
623
831.5 IPS |
|
|
Text Classification (HP)
|
99% |
620
827.3 IPS |
|
|
Text Classification (Q)
|
88% |
1026
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (Q)
|
50% |
688
24.4 IPS |
