Xiaomi 2506BPN68G
Geekbench AI Score
1081
Single Precision Score
1527
Half Precision Score
1283
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 01:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
528
98.2 IPS |
|
|
Image Classification (HP)
|
100% |
744
138.3 IPS |
|
|
Image Classification (Q)
|
97% |
750
139.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2001
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6122
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
11366
13.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11187
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (HP)
|
99% |
834
66.1 IPS |
|
|
Object Detection (Q)
|
83% |
710
57.3 IPS |
|
|
Face Detection (SP)
|
100% |
2533
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3665
43.5 IPS |
|
|
Face Detection (Q)
|
96% |
3179
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2852
22.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4792
37.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
3850
36.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9991
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18544
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18536
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1733
64.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2328
85.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2266
84.0 IPS |
|
|
Text Classification (SP)
|
35% |
23
208.3 IPS |
|
|
Text Classification (HP)
|
29% |
14
237.8 IPS |
|
|
Text Classification (Q)
|
32% |
19
243.4 IPS |
|
|
Machine Translation (SP)
|
100% |
370
6.38 IPS |
|
|
Machine Translation (HP)
|
100% |
420
7.24 IPS |
|
|
Machine Translation (Q)
|
43% |
104
6.06 IPS |
