Xiaomi Redmi K20 Pro
Geekbench AI Score
895
Single Precision Score
880
Half Precision Score
1676
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2025 02:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 855 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi Redmi K20 Pro |
| Model ID | Xiaomi Redmi K20 Pro |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
428
79.7 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.8 IPS |
|
|
Image Classification (Q)
|
100% |
1240
230.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
555
9.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
537
8.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
1455
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1787
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1732
2.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
2879
3.41 IPS |
|
|
Object Detection (SP)
|
100% |
399
31.6 IPS |
|
|
Object Detection (HP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (Q)
|
83% |
1174
94.8 IPS |
|
|
Face Detection (SP)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1252
14.9 IPS |
|
|
Face Detection (Q)
|
95% |
2698
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1547
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1445
11.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2638
24.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3147
4.08 IPS |
|
|
Style Transfer (HP)
|
89% |
3051
3.96 IPS |
|
|
Style Transfer (Q)
|
98% |
6158
7.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
877
32.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1596
59.1 IPS |
|
|
Text Classification (SP)
|
100% |
482
642.9 IPS |
|
|
Text Classification (HP)
|
100% |
455
607.1 IPS |
|
|
Text Classification (Q)
|
88% |
878
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
50% |
467
16.6 IPS |
