Xiaomi 25060RK16C
Geekbench AI Score
1209
Single Precision Score
1600
Half Precision Score
1388
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 09:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
547
101.8 IPS |
|
|
Image Classification (HP)
|
100% |
725
134.9 IPS |
|
|
Image Classification (Q)
|
97% |
711
132.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2473
40.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2519
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7945
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
14037
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13982
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (HP)
|
99% |
783
62.1 IPS |
|
|
Object Detection (Q)
|
83% |
836
67.5 IPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
3809
45.3 IPS |
|
|
Face Detection (Q)
|
96% |
3427
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3466
26.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5353
41.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4279
40.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12718
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22489
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22731
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1628
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2199
81.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2119
78.5 IPS |
|
|
Text Classification (SP)
|
35% |
21
194.3 IPS |
|
|
Text Classification (HP)
|
29% |
13
222.5 IPS |
|
|
Text Classification (Q)
|
32% |
17
215.0 IPS |
|
|
Machine Translation (SP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (HP)
|
100% |
426
7.34 IPS |
|
|
Machine Translation (Q)
|
43% |
106
6.19 IPS |
