Xiaomi Redmi K50 Ultra
Geekbench ML Score
806
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 27 2024 08:24 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| 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% |
478
89.4 IPS |
|
|
Image Classification (F16)
|
100% |
403
75.4 IPS |
|
|
Image Classification (I8)
|
97% |
471
88.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
745
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
922
15.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
895
15.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
703
0.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
1271
1.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
1253
1.52 IPS |
|
|
Object Detection (F32)
|
100% |
238
17.8 IPS |
|
|
Object Detection (F16)
|
100% |
256
19.1 IPS |
|
|
Object Detection (I8)
|
62% |
270
20.2 IPS |
|
|
Face Detection (F32)
|
100% |
1558
18.5 IPS |
|
|
Face Detection (F16)
|
97% |
1451
17.3 IPS |
|
|
Face Detection (I8)
|
87% |
1363
16.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1110
8.61 IPS |
|
|
Depth Estimation (F16)
|
100% |
2536
19.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
2500
19.4 IPS |
|
|
Style Transfer (F32)
|
100% |
2785
3.66 IPS |
|
|
Style Transfer (F16)
|
100% |
6274
8.25 IPS |
|
|
Style Transfer (I8)
|
98% |
6377
8.39 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
389
13.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
521
18.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
521
18.6 IPS |
|
|
Text Classification (F32)
|
100% |
285
409.5 IPS |
|
|
Text Classification (F16)
|
100% |
285
410.2 IPS |
|
|
Text Classification (I8)
|
92% |
516
740.9 IPS |
|
|
Machine Translation (F32)
|
100% |
478
8.80 IPS |
|
|
Machine Translation (F16)
|
100% |
484
8.91 IPS |
|
|
Machine Translation (I8)
|
64% |
611
11.2 IPS |
