Xiaomi Redmi K50i
Geekbench ML Score
425
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 10 2024 04:37 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Redmi K50i |
| Model ID | Xiaomi 22041216I |
| Motherboard | xagain |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
174
32.6 IPS |
|
|
Image Classification (F16)
|
100% |
182
34.0 IPS |
|
|
Image Classification (I8)
|
97% |
308
57.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
251
4.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
259
4.33 IPS |
|
|
Image Segmentation (I8)
|
98% |
385
6.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
518
0.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
548
0.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
1776
2.15 IPS |
|
|
Object Detection (F32)
|
100% |
201
15.0 IPS |
|
|
Object Detection (F16)
|
100% |
193
14.4 IPS |
|
|
Object Detection (I8)
|
61% |
368
27.4 IPS |
|
|
Face Detection (F32)
|
100% |
437
5.19 IPS |
|
|
Face Detection (F16)
|
100% |
428
5.09 IPS |
|
|
Face Detection (I8)
|
86% |
871
10.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
477
3.70 IPS |
|
|
Depth Estimation (F16)
|
100% |
439
3.41 IPS |
|
|
Depth Estimation (I8)
|
95% |
860
6.67 IPS |
|
|
Style Transfer (F32)
|
100% |
1121
1.47 IPS |
|
|
Style Transfer (F16)
|
100% |
1085
1.43 IPS |
|
|
Style Transfer (I8)
|
98% |
2249
2.96 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
253
9.04 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
263
9.40 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
904
32.3 IPS |
|
|
Text Classification (F32)
|
100% |
276
396.2 IPS |
|
|
Text Classification (F16)
|
100% |
292
419.6 IPS |
|
|
Text Classification (I8)
|
92% |
276
396.0 IPS |
|
|
Machine Translation (F32)
|
100% |
447
8.22 IPS |
|
|
Machine Translation (F16)
|
100% |
414
7.62 IPS |
|
|
Machine Translation (I8)
|
64% |
207
3.81 IPS |
