Xiaomi Redmi K60 Pro
Geekbench AI Score
2025
Single Precision Score
2133
Half Precision Score
3507
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | libc |
| Upload Date | March 12 2025 10:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Redmi K60 Pro |
| Model ID | Xiaomi 22127RK46C |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1708
317.6 IPS |
|
|
Image Classification (HP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (Q)
|
100% |
2714
504.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3147
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2902
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2881
3.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
6565
7.79 IPS |
|
|
Object Detection (SP)
|
98% |
673
53.5 IPS |
|
|
Object Detection (HP)
|
98% |
1350
107.4 IPS |
|
|
Object Detection (Q)
|
83% |
2571
207.7 IPS |
|
|
Face Detection (SP)
|
100% |
3313
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3160
37.5 IPS |
|
|
Face Detection (Q)
|
95% |
6000
71.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3220
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3171
24.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5486
50.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7148
9.28 IPS |
|
|
Style Transfer (HP)
|
89% |
7339
9.53 IPS |
|
|
Style Transfer (Q)
|
98% |
14374
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1720
63.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3890
144.2 IPS |
|
|
Text Classification (SP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (HP)
|
99% |
882
1.18 KIPS |
|
|
Text Classification (Q)
|
88% |
1368
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1656
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1616
27.8 IPS |
|
|
Machine Translation (Q)
|
50% |
776
27.5 IPS |
