Xiaomi Redmi K50 Ultra
Geekbench ML Score
712
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 04 2024 12:23 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
353
66.0 IPS |
|
|
Image Classification (F16)
|
100% |
377
70.6 IPS |
|
|
Image Classification (I8)
|
97% |
661
123.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
493
8.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
486
8.12 IPS |
|
|
Image Segmentation (I8)
|
98% |
562
9.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
937
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
903
1.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
3234
3.92 IPS |
|
|
Object Detection (F32)
|
100% |
365
27.3 IPS |
|
|
Object Detection (F16)
|
100% |
349
26.0 IPS |
|
|
Object Detection (I8)
|
61% |
727
54.3 IPS |
|
|
Face Detection (F32)
|
100% |
782
9.29 IPS |
|
|
Face Detection (F16)
|
100% |
796
9.46 IPS |
|
|
Face Detection (I8)
|
86% |
1274
15.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
839
6.50 IPS |
|
|
Depth Estimation (F16)
|
100% |
853
6.61 IPS |
|
|
Depth Estimation (I8)
|
95% |
1462
11.3 IPS |
|
|
Style Transfer (F32)
|
100% |
1585
2.09 IPS |
|
|
Style Transfer (F16)
|
100% |
1570
2.06 IPS |
|
|
Style Transfer (I8)
|
98% |
2949
3.88 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
484
17.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
487
17.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1229
43.9 IPS |
|
|
Text Classification (F32)
|
100% |
384
551.6 IPS |
|
|
Text Classification (F16)
|
100% |
391
562.5 IPS |
|
|
Text Classification (I8)
|
92% |
270
388.6 IPS |
|
|
Machine Translation (F32)
|
100% |
766
14.1 IPS |
|
|
Machine Translation (F16)
|
100% |
754
13.9 IPS |
|
|
Machine Translation (I8)
|
64% |
311
5.73 IPS |
