Xiaomi Redmi K20 Pro
Geekbench AI Score
327
Single Precision Score
325
Half Precision Score
644
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 09 2025 08:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 855 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
165
30.7 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
100% |
433
80.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
183
2.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
189
3.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
510
8.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
650
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
663
0.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
1086
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (Q)
|
83% |
437
35.3 IPS |
|
|
Face Detection (SP)
|
100% |
380
4.52 IPS |
|
|
Face Detection (HP)
|
100% |
374
4.45 IPS |
|
|
Face Detection (Q)
|
95% |
892
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
539
4.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
542
4.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
1001
9.17 IPS |
|
|
Style Transfer (SP)
|
89% |
1204
1.56 IPS |
|
|
Style Transfer (HP)
|
89% |
1198
1.55 IPS |
|
|
Style Transfer (Q)
|
98% |
2462
3.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
310
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
618
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
186
248.4 IPS |
|
|
Text Classification (HP)
|
100% |
168
224.8 IPS |
|
|
Text Classification (Q)
|
88% |
369
497.8 IPS |
|
|
Machine Translation (SP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (HP)
|
100% |
315
5.42 IPS |
|
|
Machine Translation (Q)
|
50% |
237
8.41 IPS |
