Xiaomi Redmi K50i
Geekbench AI Score
1139
Single Precision Score
1111
Half Precision Score
2096
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 04:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 8100 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi Redmi K50i |
| Model ID | Xiaomi 22041216I |
| Motherboard | xagain |
| 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 | 5.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
560
104.2 IPS |
|
|
Image Classification (HP)
|
100% |
562
104.6 IPS |
|
|
Image Classification (Q)
|
100% |
1639
304.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
694
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1924
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2453
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2223
2.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
3642
4.32 IPS |
|
|
Object Detection (SP)
|
100% |
472
37.5 IPS |
|
|
Object Detection (HP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (Q)
|
83% |
1318
106.4 IPS |
|
|
Face Detection (SP)
|
100% |
1556
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1526
18.1 IPS |
|
|
Face Detection (Q)
|
95% |
3323
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2284
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2096
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3326
30.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4170
5.41 IPS |
|
|
Style Transfer (HP)
|
89% |
4211
5.47 IPS |
|
|
Style Transfer (Q)
|
98% |
8525
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1109
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1104
40.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2011
74.5 IPS |
|
|
Text Classification (SP)
|
100% |
576
768.8 IPS |
|
|
Text Classification (HP)
|
100% |
567
756.8 IPS |
|
|
Text Classification (Q)
|
88% |
1028
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (Q)
|
50% |
557
19.8 IPS |
