Xiaomi 2506BPN68R
Geekbench AI Score
1112
Single Precision Score
1566
Half Precision Score
1319
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 17 2025 11:50 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2506BPN68R |
| Model ID | Xiaomi 2506BPN68R |
| 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% |
504
93.7 IPS |
|
|
Image Classification (HP)
|
100% |
741
137.7 IPS |
|
|
Image Classification (Q)
|
97% |
715
133.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2016
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6420
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
11612
13.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11895
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (HP)
|
99% |
705
55.9 IPS |
|
|
Object Detection (Q)
|
83% |
711
57.5 IPS |
|
|
Face Detection (SP)
|
100% |
2509
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
3927
46.7 IPS |
|
|
Face Detection (Q)
|
96% |
3185
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2982
23.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5051
39.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
3883
36.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10243
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19006
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18808
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1847
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2704
99.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2762
102.4 IPS |
|
|
Text Classification (SP)
|
35% |
25
230.8 IPS |
|
|
Text Classification (HP)
|
29% |
15
251.2 IPS |
|
|
Text Classification (Q)
|
32% |
20
261.8 IPS |
|
|
Machine Translation (SP)
|
100% |
366
6.31 IPS |
|
|
Machine Translation (HP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (Q)
|
43% |
102
5.94 IPS |
