Xiaomi 2506BPN68G
Geekbench AI Score
1674
Single Precision Score
1673
Half Precision Score
2415
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2025 12:05 PM |
| 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 | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1050
195.3 IPS |
|
|
Image Classification (HP)
|
100% |
1093
203.3 IPS |
|
|
Image Classification (Q)
|
100% |
1741
323.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1897
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2455
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2472
2.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
4814
5.71 IPS |
|
|
Object Detection (SP)
|
98% |
1108
88.2 IPS |
|
|
Object Detection (HP)
|
98% |
1091
86.8 IPS |
|
|
Object Detection (Q)
|
83% |
1738
140.4 IPS |
|
|
Face Detection (SP)
|
100% |
2445
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
2433
28.9 IPS |
|
|
Face Detection (Q)
|
95% |
3798
45.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2943
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2878
22.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3927
36.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5801
7.53 IPS |
|
|
Style Transfer (HP)
|
89% |
5771
7.49 IPS |
|
|
Style Transfer (Q)
|
98% |
10382
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1327
49.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1320
48.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2522
93.5 IPS |
|
|
Text Classification (SP)
|
100% |
575
767.5 IPS |
|
|
Text Classification (HP)
|
99% |
567
757.0 IPS |
|
|
Text Classification (Q)
|
88% |
990
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1402
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1436
24.7 IPS |
|
|
Machine Translation (Q)
|
50% |
634
22.5 IPS |
