Xiaomi Redmi K20 Pro
Geekbench ML Score
457
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 07 2024 06:20 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi Redmi K20 Pro |
| Model ID | Xiaomi Redmi K20 Pro |
| Motherboard | msmnile |
| Governor | performance |
| 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 |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
291
54.4 IPS |
|
|
Image Classification (F16)
|
100% |
398
74.4 IPS |
|
|
Image Classification (I8)
|
99% |
401
75.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
373
6.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
676
11.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
666
11.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
533
0.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
392
0.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
394
0.48 IPS |
|
|
Object Detection (F32)
|
100% |
252
18.8 IPS |
|
|
Object Detection (F16)
|
100% |
335
25.0 IPS |
|
|
Object Detection (I8)
|
62% |
374
27.9 IPS |
|
|
Face Detection (F32)
|
100% |
675
8.02 IPS |
|
|
Face Detection (F16)
|
97% |
1617
19.2 IPS |
|
|
Face Detection (I8)
|
86% |
1733
20.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
630
4.89 IPS |
|
|
Depth Estimation (F16)
|
100% |
1144
8.87 IPS |
|
|
Depth Estimation (I8)
|
95% |
1069
8.29 IPS |
|
|
Style Transfer (F32)
|
100% |
1209
1.59 IPS |
|
|
Style Transfer (F16)
|
100% |
3213
4.23 IPS |
|
|
Style Transfer (I8)
|
98% |
1486
1.95 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
156
5.57 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
310
11.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
307
11.0 IPS |
|
|
Text Classification (F32)
|
100% |
111
158.9 IPS |
|
|
Text Classification (F16)
|
100% |
108
154.6 IPS |
|
|
Text Classification (I8)
|
92% |
175
251.6 IPS |
|
|
Machine Translation (F32)
|
100% |
227
4.18 IPS |
|
|
Machine Translation (F16)
|
100% |
238
4.38 IPS |
|
|
Machine Translation (I8)
|
64% |
231
4.25 IPS |
