REDMI K Pad（2025） Xiaomi 25079RPDCC
Geekbench AI Score
2282
Single Precision Score
2242
Half Precision Score
3349
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Mr_Boom |
| Upload Date | September 18 2025 11:34 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 25079RPDCC |
| Model ID | Xiaomi 25079RPDCC |
| Motherboard | turner |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.73 GHz |
| Memory Information | |
|---|---|
| Size | 15.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1658
308.3 IPS |
|
|
Image Classification (HP)
|
100% |
1692
314.7 IPS |
|
|
Image Classification (Q)
|
100% |
2562
476.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2030
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1989
32.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2750
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3347
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3249
3.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
6391
7.58 IPS |
|
|
Object Detection (SP)
|
98% |
1492
118.8 IPS |
|
|
Object Detection (HP)
|
98% |
1541
122.6 IPS |
|
|
Object Detection (Q)
|
83% |
2428
196.1 IPS |
|
|
Face Detection (SP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
3237
38.5 IPS |
|
|
Face Detection (Q)
|
95% |
5518
65.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3714
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3309
25.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5599
51.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7799
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
7704
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
14497
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1760
65.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1766
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3674
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
1279
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1722
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1639
28.2 IPS |
|
|
Machine Translation (Q)
|
50% |
773
27.4 IPS |
