REDMI K Pad（2025） Xiaomi 25079RPDCC
Geekbench AI Score
1213
Single Precision Score
7962
Half Precision Score
10823
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Mr_Boom |
| Upload Date | September 18 2025 11:44 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
1099
204.3 IPS |
|
|
Image Classification (HP)
|
100% |
4356
810.1 IPS |
|
|
Image Classification (Q)
|
99% |
10933
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4183
67.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1753
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9997
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17540
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
70609
82.8 IPS |
|
|
Object Detection (SP)
|
100% |
703
55.7 IPS |
|
|
Object Detection (HP)
|
100% |
4673
370.7 IPS |
|
|
Object Detection (Q)
|
86% |
5830
468.9 IPS |
|
|
Face Detection (SP)
|
100% |
3540
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
12443
147.8 IPS |
|
|
Face Detection (Q)
|
97% |
13146
156.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
757
5.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
18692
144.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
32279
306.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4547
5.85 IPS |
|
|
Style Transfer (HP)
|
100% |
54491
70.0 IPS |
|
|
Style Transfer (Q)
|
98% |
189167
243.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2980
110.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10319
381.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
31643
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
132
176.8 IPS |
|
|
Text Classification (HP)
|
100% |
2401
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2358
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (HP)
|
100% |
2184
37.6 IPS |
|
|
Machine Translation (Q)
|
60% |
467
10.5 IPS |
