Xiaomi Redmi K50 Ultra
Geekbench ML Score
675
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | October 01 2024 07:06 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Redmi K50 Ultra |
| Model ID | Xiaomi 22081212C |
| Motherboard | diting |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.91 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
413
77.3 IPS |
|
|
Image Classification (F16)
|
100% |
676
126.6 IPS |
|
|
Image Classification (I8)
|
97% |
521
97.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
742
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1209
20.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1079
18.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
604
0.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
1151
1.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
1158
1.40 IPS |
|
|
Object Detection (F32)
|
100% |
252
18.8 IPS |
|
|
Object Detection (F16)
|
100% |
365
27.2 IPS |
|
|
Object Detection (I8)
|
62% |
358
26.8 IPS |
|
|
Face Detection (F32)
|
100% |
1364
16.2 IPS |
|
|
Face Detection (F16)
|
97% |
2069
24.6 IPS |
|
|
Face Detection (I8)
|
87% |
1916
22.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
931
7.22 IPS |
|
|
Depth Estimation (F16)
|
100% |
1962
15.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
1926
14.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2017
2.65 IPS |
|
|
Style Transfer (F16)
|
100% |
4368
5.75 IPS |
|
|
Style Transfer (I8)
|
98% |
4321
5.68 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
326
11.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
452
16.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
281
10.1 IPS |
|
|
Text Classification (F32)
|
100% |
115
165.7 IPS |
|
|
Text Classification (F16)
|
100% |
135
193.5 IPS |
|
|
Text Classification (I8)
|
92% |
207
297.0 IPS |
|
|
Machine Translation (F32)
|
100% |
265
4.88 IPS |
|
|
Machine Translation (F16)
|
100% |
268
4.93 IPS |
|
|
Machine Translation (I8)
|
64% |
304
5.59 IPS |
