Xiaomi Redmi K20 Pro
Geekbench AI Score
1081
Single Precision Score
1544
Half Precision Score
1213
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 03:04 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
798
148.4 IPS |
|
|
Image Classification (HP)
|
100% |
1173
218.1 IPS |
|
|
Image Classification (Q)
|
100% |
1082
201.2 IPS |
|
|
Image Segmentation (SP)
|
97% |
1223
19.9 IPS |
|
|
Image Segmentation (HP)
|
99% |
1743
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1509
24.5 IPS |
|
|
Pose Estimation (SP)
|
98% |
4339
5.08 IPS |
|
|
Pose Estimation (HP)
|
97% |
6855
8.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
6670
7.82 IPS |
|
|
Object Detection (SP)
|
86% |
674
54.2 IPS |
|
|
Object Detection (HP)
|
92% |
896
71.6 IPS |
|
|
Object Detection (Q)
|
76% |
784
64.8 IPS |
|
|
Face Detection (SP)
|
100% |
2152
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
3332
39.6 IPS |
|
|
Face Detection (Q)
|
97% |
2832
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2341
18.0 IPS |
|
|
Depth Estimation (HP)
|
76% |
3191
25.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
2551
25.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5382
6.92 IPS |
|
|
Style Transfer (HP)
|
90% |
9871
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
9872
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1180
43.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1675
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1664
61.7 IPS |
|
|
Text Classification (SP)
|
35% |
41
394.9 IPS |
|
|
Text Classification (HP)
|
35% |
63
568.6 IPS |
|
|
Text Classification (Q)
|
33% |
47
564.4 IPS |
|
|
Machine Translation (SP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (HP)
|
97% |
557
9.63 IPS |
|
|
Machine Translation (Q)
|
43% |
146
8.30 IPS |
