Xiaomi Redmi K30 Ultra
Geekbench AI Score
403
Single Precision Score
563
Half Precision Score
563
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 05:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
319
59.4 IPS |
|
|
Image Classification (HP)
|
100% |
575
107.0 IPS |
|
|
Image Classification (Q)
|
99% |
545
101.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
455
7.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
756
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
718
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
264
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
322
0.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
321
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
259
20.5 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
83% |
392
31.7 IPS |
|
|
Face Detection (SP)
|
100% |
1101
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1622
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
1508
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
510
3.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
686
5.28 IPS |
|
|
Depth Estimation (Q)
|
62% |
554
5.24 IPS |
|
|
Style Transfer (SP)
|
100% |
1104
1.42 IPS |
|
|
Style Transfer (HP)
|
100% |
1680
2.16 IPS |
|
|
Style Transfer (Q)
|
98% |
1677
2.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
307
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
481
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
487
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
186
248.8 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.6 IPS |
|
|
Text Classification (Q)
|
91% |
340
456.6 IPS |
|
|
Machine Translation (SP)
|
100% |
326
5.62 IPS |
|
|
Machine Translation (HP)
|
100% |
324
5.59 IPS |
|
|
Machine Translation (Q)
|
57% |
281
6.87 IPS |
