Xiaomi 2506BPN68G
Geekbench AI Score
1526
Single Precision Score
1528
Half Precision Score
2174
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 10 2026 05:11 PM |
| 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% |
988
183.8 IPS |
|
|
Image Classification (HP)
|
100% |
994
184.8 IPS |
|
|
Image Classification (Q)
|
100% |
1548
287.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1236
20.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1700
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2289
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2275
2.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
4416
5.24 IPS |
|
|
Object Detection (SP)
|
98% |
998
79.4 IPS |
|
|
Object Detection (HP)
|
98% |
997
79.4 IPS |
|
|
Object Detection (Q)
|
83% |
1544
124.7 IPS |
|
|
Face Detection (SP)
|
100% |
2180
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
2257
26.8 IPS |
|
|
Face Detection (Q)
|
95% |
3433
41.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2654
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2627
20.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3569
32.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5338
6.93 IPS |
|
|
Style Transfer (HP)
|
89% |
5319
6.91 IPS |
|
|
Style Transfer (Q)
|
98% |
9527
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1194
44.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1202
44.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2272
84.2 IPS |
|
|
Text Classification (SP)
|
100% |
511
681.6 IPS |
|
|
Text Classification (HP)
|
99% |
509
678.8 IPS |
|
|
Text Classification (Q)
|
88% |
889
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (Q)
|
50% |
559
19.8 IPS |
