Xiaomi Redmi K20 Pro
Geekbench AI Score
421
Single Precision Score
242
Half Precision Score
950
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 08:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
69% |
413
85.1 IPS |
|
|
Image Classification (HP)
|
100% |
151
28.0 IPS |
|
|
Image Classification (Q)
|
97% |
552
103.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
580
9.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
197
3.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
622
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1651
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
260
0.30 IPS |
|
|
Pose Estimation (Q)
|
97% |
8283
9.70 IPS |
|
|
Object Detection (SP)
|
93% |
452
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
147
11.6 IPS |
|
|
Object Detection (Q)
|
85% |
1169
94.1 IPS |
|
|
Face Detection (SP)
|
100% |
1293
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
363
4.32 IPS |
|
|
Face Detection (Q)
|
97% |
2711
32.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
486
3.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
302
2.32 IPS |
|
|
Depth Estimation (Q)
|
22% |
189
43.4 IPS |
|
|
Style Transfer (SP)
|
100% |
763
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
495
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
3361
4.33 IPS |
|
|
Image Super-Resolution (SP)
|
50% |
467
34.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
146
5.39 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4084
151.3 IPS |
|
|
Text Classification (SP)
|
71% |
16
22.5 IPS |
|
|
Text Classification (HP)
|
100% |
216
288.8 IPS |
|
|
Text Classification (Q)
|
93% |
122
163.8 IPS |
|
|
Machine Translation (SP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (Q)
|
54% |
212
5.99 IPS |
