Xiaomi Redmi K50 Ultra
Geekbench AI Score
1357
Single Precision Score
1351
Half Precision Score
2912
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 08 2026 10:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
589
109.5 IPS |
|
|
Image Classification (HP)
|
100% |
597
111.1 IPS |
|
|
Image Classification (Q)
|
100% |
2269
421.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2452
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3003
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2992
3.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
6702
7.95 IPS |
|
|
Object Detection (SP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (HP)
|
100% |
615
48.7 IPS |
|
|
Object Detection (Q)
|
83% |
2223
179.6 IPS |
|
|
Face Detection (SP)
|
100% |
2004
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
2008
23.9 IPS |
|
|
Face Detection (Q)
|
95% |
4906
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2708
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2719
20.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5221
47.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4883
6.34 IPS |
|
|
Style Transfer (HP)
|
89% |
4904
6.37 IPS |
|
|
Style Transfer (Q)
|
98% |
14174
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1515
55.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1517
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3480
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
635
847.2 IPS |
|
|
Text Classification (HP)
|
100% |
582
776.5 IPS |
|
|
Text Classification (Q)
|
88% |
1119
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (Q)
|
50% |
375
13.3 IPS |
