Xiaomi 2506BPN68G
Geekbench AI Score
1359
Single Precision Score
1358
Half Precision Score
1879
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 09:44 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% |
982
182.6 IPS |
|
|
Image Classification (HP)
|
100% |
989
184.0 IPS |
|
|
Image Classification (Q)
|
100% |
1564
290.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1713
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2141
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1915
2.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
3548
4.21 IPS |
|
|
Object Detection (SP)
|
98% |
836
66.5 IPS |
|
|
Object Detection (HP)
|
98% |
903
71.8 IPS |
|
|
Object Detection (Q)
|
83% |
1290
104.2 IPS |
|
|
Face Detection (SP)
|
100% |
1950
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
1983
23.6 IPS |
|
|
Face Detection (Q)
|
95% |
2853
34.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2242
17.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2203
17.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2921
26.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4477
5.81 IPS |
|
|
Style Transfer (HP)
|
89% |
4445
5.77 IPS |
|
|
Style Transfer (Q)
|
98% |
7850
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1021
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1019
37.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1890
70.0 IPS |
|
|
Text Classification (SP)
|
100% |
419
559.0 IPS |
|
|
Text Classification (HP)
|
99% |
424
565.3 IPS |
|
|
Text Classification (Q)
|
88% |
745
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1164
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (Q)
|
50% |
487
17.3 IPS |
