Xiaomi 25060RK16C
Geekbench ML Score
1147
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 23 2025 10:19 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
665
124.4 IPS |
|
|
Image Classification (F16)
|
100% |
659
123.4 IPS |
|
|
Image Classification (I8)
|
97% |
838
156.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
700
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
879
14.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
958
16.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
1205
1.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
1217
1.47 IPS |
|
|
Pose Estimation (I8)
|
100% |
4866
5.89 IPS |
|
|
Object Detection (F32)
|
100% |
651
48.6 IPS |
|
|
Object Detection (F16)
|
100% |
638
47.7 IPS |
|
|
Object Detection (I8)
|
61% |
962
71.8 IPS |
|
|
Face Detection (F32)
|
100% |
1579
18.8 IPS |
|
|
Face Detection (F16)
|
100% |
1653
19.7 IPS |
|
|
Face Detection (I8)
|
86% |
2193
26.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1426
11.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
1409
10.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
2241
17.4 IPS |
|
|
Style Transfer (F32)
|
100% |
2250
2.96 IPS |
|
|
Style Transfer (F16)
|
100% |
2237
2.94 IPS |
|
|
Style Transfer (I8)
|
98% |
4404
5.79 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
789
28.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
793
28.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1854
66.2 IPS |
|
|
Text Classification (F32)
|
100% |
681
979.3 IPS |
|
|
Text Classification (F16)
|
100% |
694
997.1 IPS |
|
|
Text Classification (I8)
|
92% |
432
620.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1267
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1297
23.9 IPS |
|
|
Machine Translation (I8)
|
64% |
449
8.27 IPS |
