Xiaomi Redmi K80 Pro
Geekbench AI Score
649
Single Precision Score
650
Half Precision Score
1547
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | RainLee_SZ |
| Upload Date | February 09 2026 07:27 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi Redmi K80 Pro |
| Model ID | Xiaomi 24122RKC7C |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
393
73.1 IPS |
|
|
Image Classification (HP)
|
100% |
392
72.9 IPS |
|
|
Image Classification (Q)
|
99% |
1065
198.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
1019
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
668
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
672
0.78 IPS |
|
|
Pose Estimation (Q)
|
98% |
2695
3.15 IPS |
|
|
Object Detection (SP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (HP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (Q)
|
87% |
1150
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
918
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
924
11.0 IPS |
|
|
Face Detection (Q)
|
97% |
2367
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
811
6.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
814
6.27 IPS |
|
|
Depth Estimation (Q)
|
64% |
2025
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1408
1.81 IPS |
|
|
Style Transfer (HP)
|
100% |
1413
1.82 IPS |
|
|
Style Transfer (Q)
|
98% |
3903
5.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
446
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1653
61.3 IPS |
|
|
Text Classification (SP)
|
100% |
618
825.0 IPS |
|
|
Text Classification (HP)
|
100% |
630
841.5 IPS |
|
|
Text Classification (Q)
|
91% |
1036
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (Q)
|
57% |
729
17.8 IPS |
