Xiaomi Redmi K20 Pro
Geekbench ML Score
551
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 27 2024 04:06 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi Redmi K20 Pro |
| Model ID | Xiaomi Redmi K20 Pro |
| Motherboard | raphael |
| 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 @ 2.96 GHz |
| Memory Information | |
|---|---|
| Size | 11.18 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
293
54.8 IPS |
|
|
Image Classification (F16)
|
100% |
300
56.1 IPS |
|
|
Image Classification (I8)
|
97% |
609
114.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
349
5.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
351
5.86 IPS |
|
|
Image Segmentation (I8)
|
98% |
411
6.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
565
0.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
558
0.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
2560
3.10 IPS |
|
|
Object Detection (F32)
|
100% |
310
23.1 IPS |
|
|
Object Detection (F16)
|
100% |
282
21.1 IPS |
|
|
Object Detection (I8)
|
61% |
720
53.7 IPS |
|
|
Face Detection (F32)
|
100% |
602
7.16 IPS |
|
|
Face Detection (F16)
|
100% |
610
7.25 IPS |
|
|
Face Detection (I8)
|
86% |
1046
12.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
558
4.33 IPS |
|
|
Depth Estimation (F16)
|
100% |
536
4.15 IPS |
|
|
Depth Estimation (I8)
|
95% |
1108
8.59 IPS |
|
|
Style Transfer (F32)
|
100% |
832
1.09 IPS |
|
|
Style Transfer (F16)
|
100% |
833
1.10 IPS |
|
|
Style Transfer (I8)
|
98% |
1581
2.08 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
368
13.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
368
13.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1112
39.7 IPS |
|
|
Text Classification (F32)
|
100% |
397
570.5 IPS |
|
|
Text Classification (F16)
|
100% |
344
493.7 IPS |
|
|
Text Classification (I8)
|
92% |
315
453.1 IPS |
|
|
Machine Translation (F32)
|
100% |
703
12.9 IPS |
|
|
Machine Translation (F16)
|
100% |
689
12.7 IPS |
|
|
Machine Translation (I8)
|
64% |
297
5.47 IPS |
