Xiaomi Redmi K60 Pro
Geekbench AI Score
400
Single Precision Score
389
Half Precision Score
818
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | libc |
| Upload Date | March 12 2025 10:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
264
49.1 IPS |
|
|
Image Classification (HP)
|
100% |
228
42.4 IPS |
|
|
Image Classification (Q)
|
99% |
529
98.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
564
9.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
417
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
416
0.49 IPS |
|
|
Pose Estimation (Q)
|
98% |
1574
1.84 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (Q)
|
87% |
585
46.9 IPS |
|
|
Face Detection (SP)
|
100% |
563
6.69 IPS |
|
|
Face Detection (HP)
|
100% |
572
6.80 IPS |
|
|
Face Detection (Q)
|
97% |
1157
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
517
3.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
508
3.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
1160
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
838
1.08 IPS |
|
|
Style Transfer (HP)
|
100% |
840
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
2143
2.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
267
9.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
917
34.0 IPS |
|
|
Text Classification (SP)
|
100% |
401
535.8 IPS |
|
|
Text Classification (HP)
|
100% |
351
468.2 IPS |
|
|
Text Classification (Q)
|
91% |
482
647.2 IPS |
|
|
Machine Translation (SP)
|
100% |
551
9.48 IPS |
|
|
Machine Translation (HP)
|
100% |
540
9.30 IPS |
|
|
Machine Translation (Q)
|
57% |
385
9.42 IPS |
