Xiaomi Redmi K30 Ultra
Geekbench AI Score
999
Single Precision Score
995
Half Precision Score
1957
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 04:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 1000+ |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Redmi K30 Ultra |
| Model ID | Xiaomi M2006J10C |
| Motherboard | cezanne |
| Governor | performance |
| CPU Information | |
|---|---|
| Name | ARM MT6889Z/CZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
456
84.8 IPS |
|
|
Image Classification (HP)
|
100% |
463
86.0 IPS |
|
|
Image Classification (Q)
|
100% |
1426
265.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
632
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
572
9.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
1245
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2158
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2151
2.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
3207
3.80 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (Q)
|
83% |
1392
112.5 IPS |
|
|
Face Detection (SP)
|
100% |
1369
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
1417
16.8 IPS |
|
|
Face Detection (Q)
|
95% |
3543
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1683
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1712
13.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3670
33.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3815
4.95 IPS |
|
|
Style Transfer (HP)
|
89% |
3820
4.96 IPS |
|
|
Style Transfer (Q)
|
98% |
8111
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
915
33.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
928
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2025
75.0 IPS |
|
|
Text Classification (SP)
|
100% |
532
709.6 IPS |
|
|
Text Classification (HP)
|
100% |
531
709.1 IPS |
|
|
Text Classification (Q)
|
88% |
948
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (Q)
|
50% |
515
18.3 IPS |
