Xiaomi 2506BPN68G
Geekbench AI Score
1014
Single Precision Score
7503
Half Precision Score
10417
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | fridriksa |
| Upload Date | November 11 2025 06:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
847
157.6 IPS |
|
|
Image Classification (HP)
|
100% |
4072
757.2 IPS |
|
|
Image Classification (Q)
|
99% |
11568
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
615
9.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
3938
63.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1738
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8063
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
17027
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
70038
82.1 IPS |
|
|
Object Detection (SP)
|
100% |
587
46.6 IPS |
|
|
Object Detection (HP)
|
100% |
4447
352.7 IPS |
|
|
Object Detection (Q)
|
86% |
5437
437.3 IPS |
|
|
Face Detection (SP)
|
100% |
2960
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
11635
138.3 IPS |
|
|
Face Detection (Q)
|
97% |
12780
152.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
626
4.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
18062
139.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
31027
294.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2393
3.08 IPS |
|
|
Style Transfer (HP)
|
100% |
53875
69.3 IPS |
|
|
Style Transfer (Q)
|
98% |
186177
240.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2320
85.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9936
366.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
30245
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
122
162.3 IPS |
|
|
Text Classification (HP)
|
100% |
2161
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2168
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (HP)
|
100% |
1917
33.0 IPS |
|
|
Machine Translation (Q)
|
60% |
406
9.13 IPS |
