Xiaomi Redmi K50 Ultra
Geekbench ML Score
680
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 04 2024 12:27 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 10.93 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% |
510
95.4 IPS |
|
|
Image Classification (I8)
|
97% |
383
71.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
705
11.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
952
15.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
891
14.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
617
0.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
1144
1.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
1148
1.39 IPS |
|
|
Object Detection (F32)
|
100% |
317
23.7 IPS |
|
|
Object Detection (F16)
|
100% |
253
18.9 IPS |
|
|
Object Detection (I8)
|
62% |
247
18.4 IPS |
|
|
Face Detection (F32)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (F16)
|
97% |
1913
22.7 IPS |
|
|
Face Detection (I8)
|
87% |
1604
19.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
955
7.41 IPS |
|
|
Depth Estimation (F16)
|
100% |
1637
12.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
1707
13.2 IPS |
|
|
Style Transfer (F32)
|
100% |
2121
2.79 IPS |
|
|
Style Transfer (F16)
|
100% |
4232
5.57 IPS |
|
|
Style Transfer (I8)
|
98% |
4259
5.60 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
340
12.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
371
13.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
362
12.9 IPS |
|
|
Text Classification (F32)
|
100% |
192
276.2 IPS |
|
|
Text Classification (F16)
|
100% |
192
275.5 IPS |
|
|
Text Classification (I8)
|
92% |
343
493.4 IPS |
|
|
Machine Translation (F32)
|
100% |
352
6.48 IPS |
|
|
Machine Translation (F16)
|
100% |
350
6.45 IPS |
|
|
Machine Translation (I8)
|
64% |
421
7.74 IPS |
