Xiaomi 2506BPN68G
Geekbench AI Score
1814
Single Precision Score
1825
Half Precision Score
2602
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 10:20 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 | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1096
203.7 IPS |
|
|
Image Classification (HP)
|
100% |
1176
218.8 IPS |
|
|
Image Classification (Q)
|
100% |
1885
350.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2064
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2699
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2687
3.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
5181
6.14 IPS |
|
|
Object Detection (SP)
|
98% |
1163
92.6 IPS |
|
|
Object Detection (HP)
|
98% |
1184
94.2 IPS |
|
|
Object Detection (Q)
|
83% |
1736
140.2 IPS |
|
|
Face Detection (SP)
|
100% |
2619
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
2731
32.5 IPS |
|
|
Face Detection (Q)
|
95% |
4145
49.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3211
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3190
24.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4335
39.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6412
8.32 IPS |
|
|
Style Transfer (HP)
|
89% |
6421
8.33 IPS |
|
|
Style Transfer (Q)
|
98% |
11374
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1434
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1437
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2774
102.8 IPS |
|
|
Text Classification (SP)
|
100% |
623
831.3 IPS |
|
|
Text Classification (HP)
|
99% |
625
833.9 IPS |
|
|
Text Classification (Q)
|
88% |
1053
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1512
26.0 IPS |
|
|
Machine Translation (Q)
|
50% |
682
24.2 IPS |
