Xiaomi Redmi K50 Ultra
Geekbench AI Score
1040
Single Precision Score
1750
Half Precision Score
1580
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 08 2026 10:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
719
133.6 IPS |
|
|
Image Classification (HP)
|
100% |
1127
209.6 IPS |
|
|
Image Classification (Q)
|
99% |
1040
194.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2516
40.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1997
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5080
5.93 IPS |
|
|
Pose Estimation (HP)
|
99% |
9081
10.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
8909
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
490
38.9 IPS |
|
|
Object Detection (HP)
|
99% |
995
78.9 IPS |
|
|
Object Detection (Q)
|
85% |
988
79.5 IPS |
|
|
Face Detection (SP)
|
100% |
2369
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
3787
45.0 IPS |
|
|
Face Detection (Q)
|
97% |
3188
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2484
19.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3884
30.0 IPS |
|
|
Depth Estimation (Q)
|
65% |
3165
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6017
7.74 IPS |
|
|
Style Transfer (HP)
|
100% |
12802
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
12673
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1042
38.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2292
84.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2239
83.0 IPS |
|
|
Text Classification (SP)
|
35% |
35
338.3 IPS |
|
|
Text Classification (HP)
|
35% |
48
436.6 IPS |
|
|
Text Classification (Q)
|
35% |
49
441.7 IPS |
|
|
Machine Translation (SP)
|
100% |
449
7.74 IPS |
|
|
Machine Translation (HP)
|
97% |
510
8.82 IPS |
|
|
Machine Translation (Q)
|
64% |
380
7.81 IPS |
