Xiaomi 2506BPN68G
Geekbench AI Score
1640
Single Precision Score
1650
Half Precision Score
2334
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 20 2025 08:49 AM |
| Views | 2 |
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% |
1060
197.0 IPS |
|
|
Image Classification (HP)
|
100% |
1085
201.8 IPS |
|
|
Image Classification (Q)
|
100% |
1736
322.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1901
30.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2531
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2542
2.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
4934
5.85 IPS |
|
|
Object Detection (SP)
|
98% |
1046
83.2 IPS |
|
|
Object Detection (HP)
|
98% |
1033
82.2 IPS |
|
|
Object Detection (Q)
|
83% |
1552
125.4 IPS |
|
|
Face Detection (SP)
|
100% |
2291
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2463
29.3 IPS |
|
|
Face Detection (Q)
|
95% |
3840
45.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2942
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2940
22.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3713
34.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6033
7.83 IPS |
|
|
Style Transfer (HP)
|
89% |
5393
7.00 IPS |
|
|
Style Transfer (Q)
|
98% |
9457
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1226
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1344
49.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2479
91.8 IPS |
|
|
Text Classification (SP)
|
100% |
515
687.6 IPS |
|
|
Text Classification (HP)
|
99% |
571
762.3 IPS |
|
|
Text Classification (Q)
|
88% |
989
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1438
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1292
22.2 IPS |
|
|
Machine Translation (Q)
|
50% |
576
20.5 IPS |
