Xiaomi Redmi K30 Pro
Geekbench AI Score
371
Single Precision Score
591
Half Precision Score
605
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 14 2025 06:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Redmi K30 Pro |
| Model ID | Xiaomi Redmi K30 Pro |
| Motherboard | lmi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
255
47.5 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.5 IPS |
|
|
Image Classification (Q)
|
97% |
328
61.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
590
9.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
666
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
735
0.86 IPS |
|
|
Pose Estimation (Q)
|
95% |
725
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (HP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (Q)
|
89% |
248
19.8 IPS |
|
|
Face Detection (SP)
|
100% |
618
7.35 IPS |
|
|
Face Detection (HP)
|
100% |
1167
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
1154
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
578
4.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
1105
8.54 IPS |
|
|
Depth Estimation (Q)
|
62% |
897
8.49 IPS |
|
|
Style Transfer (SP)
|
100% |
1105
1.42 IPS |
|
|
Style Transfer (HP)
|
100% |
2842
3.65 IPS |
|
|
Style Transfer (Q)
|
98% |
2819
3.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
553
20.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
541
20.0 IPS |
|
|
Text Classification (SP)
|
100% |
198
264.7 IPS |
|
|
Text Classification (HP)
|
100% |
198
263.8 IPS |
|
|
Text Classification (Q)
|
91% |
360
484.5 IPS |
|
|
Machine Translation (SP)
|
100% |
321
5.54 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (Q)
|
57% |
298
7.29 IPS |
