Xiaomi Redmi K20 Pro
Geekbench AI Score
317
Single Precision Score
318
Half Precision Score
610
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 07:06 AM |
| 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% |
153
28.5 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.6 IPS |
|
|
Image Classification (Q)
|
100% |
422
78.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
173
2.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
487
7.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
637
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
638
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1017
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (Q)
|
83% |
438
35.3 IPS |
|
|
Face Detection (SP)
|
100% |
368
4.37 IPS |
|
|
Face Detection (HP)
|
100% |
371
4.41 IPS |
|
|
Face Detection (Q)
|
95% |
867
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
529
4.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
516
3.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
956
8.76 IPS |
|
|
Style Transfer (SP)
|
89% |
1092
1.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1107
1.44 IPS |
|
|
Style Transfer (Q)
|
98% |
2237
2.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
574
21.3 IPS |
|
|
Text Classification (SP)
|
100% |
164
219.2 IPS |
|
|
Text Classification (HP)
|
100% |
169
225.1 IPS |
|
|
Text Classification (Q)
|
88% |
353
475.6 IPS |
|
|
Machine Translation (SP)
|
100% |
355
6.11 IPS |
|
|
Machine Translation (HP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (Q)
|
50% |
209
7.43 IPS |
