Xiaomi 2506BPN68G
Geekbench AI Score
893
Single Precision Score
6176
Half Precision Score
8479
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 12:23 PM |
| Views | 1 |
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% |
783
145.6 IPS |
|
|
Image Classification (HP)
|
100% |
3470
645.3 IPS |
|
|
Image Classification (Q)
|
99% |
8959
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
506
8.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
3270
53.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1331
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7095
8.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
13266
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
54080
63.4 IPS |
|
|
Object Detection (SP)
|
100% |
528
41.9 IPS |
|
|
Object Detection (HP)
|
100% |
3642
288.9 IPS |
|
|
Object Detection (Q)
|
86% |
4531
364.5 IPS |
|
|
Face Detection (SP)
|
100% |
2758
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
9709
115.4 IPS |
|
|
Face Detection (Q)
|
97% |
10020
119.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
583
4.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
14279
110.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
24832
235.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2186
2.81 IPS |
|
|
Style Transfer (HP)
|
100% |
41775
53.7 IPS |
|
|
Style Transfer (Q)
|
98% |
144847
186.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2129
78.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7866
290.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
24134
894.3 IPS |
|
|
Text Classification (SP)
|
100% |
108
144.0 IPS |
|
|
Text Classification (HP)
|
100% |
1833
2.45 KIPS |
|
|
Text Classification (Q)
|
93% |
2028
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (HP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (Q)
|
60% |
373
8.41 IPS |
