Xiaomi 2506BPN68G
Geekbench AI Score
1810
Single Precision Score
1821
Half Precision Score
2663
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 17 2026 04:30 PM |
| Views | 2 |
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% |
1141
212.2 IPS |
|
|
Image Classification (HP)
|
100% |
1203
223.8 IPS |
|
|
Image Classification (Q)
|
100% |
2548
473.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1434
23.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2084
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2691
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2685
3.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
5179
6.14 IPS |
|
|
Object Detection (SP)
|
98% |
1174
93.4 IPS |
|
|
Object Detection (HP)
|
98% |
1239
98.6 IPS |
|
|
Object Detection (Q)
|
83% |
1861
150.3 IPS |
|
|
Face Detection (SP)
|
100% |
2683
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
2625
31.2 IPS |
|
|
Face Detection (Q)
|
95% |
4179
49.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3151
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3215
24.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4347
39.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6335
8.22 IPS |
|
|
Style Transfer (HP)
|
89% |
6343
8.23 IPS |
|
|
Style Transfer (Q)
|
98% |
11512
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1423
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1429
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2772
102.7 IPS |
|
|
Text Classification (SP)
|
100% |
617
823.8 IPS |
|
|
Text Classification (HP)
|
99% |
615
820.5 IPS |
|
|
Text Classification (Q)
|
88% |
1016
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1520
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1493
25.7 IPS |
|
|
Machine Translation (Q)
|
50% |
597
21.2 IPS |
