Xiaomi Redmi K50
Geekbench AI Score
1158
Single Precision Score
1196
Half Precision Score
2317
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 06 2024 02:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 8100 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Redmi K50 |
| Model ID | Xiaomi 22041211AC |
| Motherboard | rubens |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
338
62.8 IPS |
|
|
Image Classification (HP)
|
100% |
596
110.8 IPS |
|
|
Image Classification (Q)
|
100% |
1792
333.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
766
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2040
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2782
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2465
2.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
4513
5.35 IPS |
|
|
Object Detection (SP)
|
100% |
582
46.1 IPS |
|
|
Object Detection (HP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (Q)
|
83% |
1662
134.3 IPS |
|
|
Face Detection (SP)
|
100% |
1777
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
1646
19.6 IPS |
|
|
Face Detection (Q)
|
95% |
4020
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2230
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2373
18.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3977
36.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4561
5.92 IPS |
|
|
Style Transfer (HP)
|
89% |
4239
5.50 IPS |
|
|
Style Transfer (Q)
|
98% |
8616
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1110
41.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1086
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2079
77.0 IPS |
|
|
Text Classification (SP)
|
100% |
589
786.0 IPS |
|
|
Text Classification (HP)
|
100% |
589
785.7 IPS |
|
|
Text Classification (Q)
|
88% |
1035
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (Q)
|
50% |
551
19.5 IPS |
