Xiaomi 2506BPN68G
Geekbench AI Score
1593
Single Precision Score
1475
Half Precision Score
2069
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 09:40 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% |
1368
254.5 IPS |
|
|
Image Classification (HP)
|
100% |
964
179.3 IPS |
|
|
Image Classification (Q)
|
100% |
1559
290.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1221
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1702
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2282
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2283
2.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
4309
5.11 IPS |
|
|
Object Detection (SP)
|
98% |
1032
82.2 IPS |
|
|
Object Detection (HP)
|
98% |
936
74.4 IPS |
|
|
Object Detection (Q)
|
83% |
1432
115.7 IPS |
|
|
Face Detection (SP)
|
100% |
2224
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
2285
27.1 IPS |
|
|
Face Detection (Q)
|
95% |
3431
41.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2683
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2670
20.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3123
28.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5341
6.93 IPS |
|
|
Style Transfer (HP)
|
89% |
4819
6.26 IPS |
|
|
Style Transfer (Q)
|
98% |
9373
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1210
44.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1083
40.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2012
74.6 IPS |
|
|
Text Classification (SP)
|
100% |
511
682.4 IPS |
|
|
Text Classification (HP)
|
99% |
510
681.4 IPS |
|
|
Text Classification (Q)
|
88% |
887
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1195
20.6 IPS |
|
|
Machine Translation (Q)
|
50% |
491
17.4 IPS |
