Xiaomi Redmi K50 Pro
Geekbench ML Score
632
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 10 2024 01:25 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Redmi K50 Pro |
| Model ID | Xiaomi 22011211C |
| Motherboard | matisse |
| Governor | sugov_ext |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 4 Cores @ 1.60 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 11.19 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
267
50.1 IPS |
|
|
Image Classification (F16)
|
100% |
305
57.0 IPS |
|
|
Image Classification (I8)
|
97% |
354
66.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
434
7.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
447
7.47 IPS |
|
|
Image Segmentation (I8)
|
98% |
490
8.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
862
1.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
843
1.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
2898
3.51 IPS |
|
|
Object Detection (F32)
|
100% |
348
25.9 IPS |
|
|
Object Detection (F16)
|
100% |
335
25.0 IPS |
|
|
Object Detection (I8)
|
61% |
500
37.3 IPS |
|
|
Face Detection (F32)
|
100% |
759
9.02 IPS |
|
|
Face Detection (F16)
|
100% |
732
8.71 IPS |
|
|
Face Detection (I8)
|
86% |
1055
12.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
800
6.20 IPS |
|
|
Depth Estimation (F16)
|
100% |
788
6.11 IPS |
|
|
Depth Estimation (I8)
|
95% |
1182
9.17 IPS |
|
|
Style Transfer (F32)
|
100% |
1528
2.01 IPS |
|
|
Style Transfer (F16)
|
100% |
1557
2.05 IPS |
|
|
Style Transfer (I8)
|
98% |
2868
3.77 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
506
18.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
486
17.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1132
40.4 IPS |
|
|
Text Classification (F32)
|
100% |
504
724.5 IPS |
|
|
Text Classification (F16)
|
100% |
473
679.5 IPS |
|
|
Text Classification (I8)
|
92% |
319
458.9 IPS |
|
|
Machine Translation (F32)
|
100% |
487
8.96 IPS |
|
|
Machine Translation (F16)
|
100% |
488
8.98 IPS |
|
|
Machine Translation (I8)
|
64% |
209
3.84 IPS |
