Xiaomi 2506BPN68G
Geekbench AI Score
1825
Single Precision Score
1803
Half Precision Score
2608
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 02 2026 11:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1156
215.1 IPS |
|
|
Image Classification (HP)
|
100% |
1161
215.8 IPS |
|
|
Image Classification (Q)
|
100% |
1897
352.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2021
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2703
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2708
3.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
5338
6.33 IPS |
|
|
Object Detection (SP)
|
98% |
1185
94.3 IPS |
|
|
Object Detection (HP)
|
98% |
1160
92.3 IPS |
|
|
Object Detection (Q)
|
83% |
1853
149.7 IPS |
|
|
Face Detection (SP)
|
100% |
2564
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
2572
30.6 IPS |
|
|
Face Detection (Q)
|
95% |
4173
49.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3162
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3162
24.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4325
39.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6453
8.38 IPS |
|
|
Style Transfer (HP)
|
89% |
6370
8.27 IPS |
|
|
Style Transfer (Q)
|
98% |
11543
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1437
53.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1426
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2754
102.1 IPS |
|
|
Text Classification (SP)
|
100% |
625
834.1 IPS |
|
|
Text Classification (HP)
|
99% |
622
830.6 IPS |
|
|
Text Classification (Q)
|
88% |
1019
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1542
26.6 IPS |
|
|
Machine Translation (Q)
|
50% |
657
23.3 IPS |
