Xiaomi 2506BPN68G
Geekbench AI Score
1071
Single Precision Score
1452
Half Precision Score
1249
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | fridriksa |
| Upload Date | November 11 2025 06:41 AM |
| Views | 5 |
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% |
570
105.9 IPS |
|
|
Image Classification (HP)
|
100% |
714
132.8 IPS |
|
|
Image Classification (Q)
|
97% |
676
126.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2020
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6071
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
11030
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11054
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (HP)
|
99% |
711
56.4 IPS |
|
|
Object Detection (Q)
|
83% |
783
63.2 IPS |
|
|
Face Detection (SP)
|
100% |
2443
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
3411
40.5 IPS |
|
|
Face Detection (Q)
|
96% |
3278
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2884
22.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4829
37.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
3668
34.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9868
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18355
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18148
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1662
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2163
79.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2075
76.9 IPS |
|
|
Text Classification (SP)
|
35% |
23
206.6 IPS |
|
|
Text Classification (HP)
|
29% |
13
222.0 IPS |
|
|
Text Classification (Q)
|
32% |
17
213.3 IPS |
|
|
Machine Translation (SP)
|
100% |
360
6.20 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.04 IPS |
|
|
Machine Translation (Q)
|
43% |
102
5.91 IPS |
