Xiaomi 25060RK16C
Geekbench AI Score
1871
Single Precision Score
1810
Half Precision Score
2622
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 28 2025 05:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 25060RK16C |
| Model ID | Xiaomi 25060RK16C |
| Motherboard | dali |
| 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 | 14.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1532
285.0 IPS |
|
|
Image Classification (HP)
|
100% |
1162
216.0 IPS |
|
|
Image Classification (Q)
|
100% |
1906
354.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1490
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2087
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2716
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2723
3.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
5316
6.30 IPS |
|
|
Object Detection (SP)
|
98% |
1122
89.3 IPS |
|
|
Object Detection (HP)
|
98% |
1139
90.6 IPS |
|
|
Object Detection (Q)
|
83% |
1860
150.2 IPS |
|
|
Face Detection (SP)
|
100% |
2683
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
2674
31.8 IPS |
|
|
Face Detection (Q)
|
95% |
4125
49.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3217
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3218
24.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4296
39.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6409
8.32 IPS |
|
|
Style Transfer (HP)
|
89% |
6348
8.24 IPS |
|
|
Style Transfer (Q)
|
98% |
11507
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1429
52.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1427
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2770
102.6 IPS |
|
|
Text Classification (SP)
|
100% |
616
822.3 IPS |
|
|
Text Classification (HP)
|
99% |
617
823.4 IPS |
|
|
Text Classification (Q)
|
88% |
1057
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1554
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1477
25.4 IPS |
|
|
Machine Translation (Q)
|
50% |
656
23.3 IPS |
