Xiaomi Redmi K60 Pro
Geekbench AI Score
806
Single Precision Score
1076
Half Precision Score
1015
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | libc |
| Upload Date | March 12 2025 10:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
556
103.3 IPS |
|
|
Image Classification (HP)
|
100% |
962
178.8 IPS |
|
|
Image Classification (Q)
|
96% |
809
151.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1687
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1379
22.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
764
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1160
1.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
1157
1.36 IPS |
|
|
Object Detection (SP)
|
100% |
395
31.4 IPS |
|
|
Object Detection (HP)
|
100% |
710
56.3 IPS |
|
|
Object Detection (Q)
|
87% |
769
61.7 IPS |
|
|
Face Detection (SP)
|
100% |
1847
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
1744
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
1639
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1248
9.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
2356
18.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1986
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3189
4.10 IPS |
|
|
Style Transfer (HP)
|
100% |
7426
9.55 IPS |
|
|
Style Transfer (Q)
|
98% |
7291
9.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
361
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
242
8.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
255
9.46 IPS |
|
|
Text Classification (SP)
|
100% |
406
541.5 IPS |
|
|
Text Classification (HP)
|
100% |
401
535.5 IPS |
|
|
Text Classification (Q)
|
91% |
492
661.0 IPS |
|
|
Machine Translation (SP)
|
100% |
533
9.17 IPS |
|
|
Machine Translation (HP)
|
100% |
526
9.06 IPS |
|
|
Machine Translation (Q)
|
57% |
393
9.60 IPS |
