Xiaomi 2506BPN68G
Geekbench AI Score
1846
Single Precision Score
1793
Half Precision Score
2605
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | fridriksa |
| Upload Date | November 11 2025 06:37 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1420
264.0 IPS |
|
|
Image Classification (HP)
|
100% |
1128
209.8 IPS |
|
|
Image Classification (Q)
|
100% |
1898
353.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2059
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2666
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2683
3.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
5185
6.15 IPS |
|
|
Object Detection (SP)
|
98% |
1151
91.6 IPS |
|
|
Object Detection (HP)
|
98% |
1133
90.1 IPS |
|
|
Object Detection (Q)
|
83% |
1849
149.4 IPS |
|
|
Face Detection (SP)
|
100% |
2620
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
2521
30.0 IPS |
|
|
Face Detection (Q)
|
95% |
4085
48.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3174
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3144
24.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4313
39.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6306
8.19 IPS |
|
|
Style Transfer (HP)
|
89% |
6328
8.21 IPS |
|
|
Style Transfer (Q)
|
98% |
11382
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1429
52.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1419
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2772
102.7 IPS |
|
|
Text Classification (SP)
|
100% |
625
834.0 IPS |
|
|
Text Classification (HP)
|
99% |
622
829.8 IPS |
|
|
Text Classification (Q)
|
88% |
1029
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1526
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1537
26.5 IPS |
|
|
Machine Translation (Q)
|
50% |
672
23.9 IPS |
