Xiaomi 2506BPN68G
Geekbench AI Score
1611
Single Precision Score
1572
Half Precision Score
2223
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 04:09 PM |
| Views | 56 |
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% |
1045
194.3 IPS |
|
|
Image Classification (HP)
|
100% |
1077
200.3 IPS |
|
|
Image Classification (Q)
|
100% |
1733
322.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1422
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1902
30.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2499
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2360
2.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
4269
5.06 IPS |
|
|
Object Detection (SP)
|
98% |
947
75.4 IPS |
|
|
Object Detection (HP)
|
98% |
949
75.5 IPS |
|
|
Object Detection (Q)
|
83% |
1437
116.1 IPS |
|
|
Face Detection (SP)
|
100% |
2450
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
2343
27.8 IPS |
|
|
Face Detection (Q)
|
95% |
3749
44.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2932
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2663
20.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3528
32.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5379
6.98 IPS |
|
|
Style Transfer (HP)
|
89% |
5309
6.89 IPS |
|
|
Style Transfer (Q)
|
98% |
9403
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1218
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1227
45.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2289
84.8 IPS |
|
|
Text Classification (SP)
|
100% |
509
679.2 IPS |
|
|
Text Classification (HP)
|
99% |
516
688.4 IPS |
|
|
Text Classification (Q)
|
88% |
889
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1441
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (Q)
|
50% |
576
20.4 IPS |
