Xiaomi 2506BPN68G
Geekbench AI Score
1865
Single Precision Score
1827
Half Precision Score
2594
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 10:16 AM |
| Views | 1 |
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% |
1490
277.2 IPS |
|
|
Image Classification (HP)
|
100% |
1125
209.3 IPS |
|
|
Image Classification (Q)
|
100% |
1903
353.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2067
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2703
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2686
3.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
5198
6.16 IPS |
|
|
Object Detection (SP)
|
98% |
1180
93.9 IPS |
|
|
Object Detection (HP)
|
98% |
1215
96.7 IPS |
|
|
Object Detection (Q)
|
83% |
1758
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
2606
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
2658
31.6 IPS |
|
|
Face Detection (Q)
|
95% |
4163
49.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3219
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3208
24.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4334
39.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6427
8.34 IPS |
|
|
Style Transfer (HP)
|
89% |
6439
8.36 IPS |
|
|
Style Transfer (Q)
|
98% |
11408
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1444
53.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1449
53.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2773
102.8 IPS |
|
|
Text Classification (SP)
|
100% |
628
837.6 IPS |
|
|
Text Classification (HP)
|
99% |
625
834.5 IPS |
|
|
Text Classification (Q)
|
88% |
1022
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1551
26.7 IPS |
|
|
Machine Translation (Q)
|
50% |
660
23.4 IPS |
