REDMI K Pad（2025） Xiaomi 25079RPDCC
Geekbench AI Score
1445
Single Precision Score
1895
Half Precision Score
1503
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Mr_Boom |
| Upload Date | September 18 2025 11:39 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
624
116.1 IPS |
|
|
Image Classification (HP)
|
100% |
979
182.0 IPS |
|
|
Image Classification (Q)
|
97% |
720
134.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3154
51.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2364
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9701
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16983
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15718
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
747
59.3 IPS |
|
|
Object Detection (HP)
|
99% |
936
74.2 IPS |
|
|
Object Detection (Q)
|
83% |
804
64.9 IPS |
|
|
Face Detection (SP)
|
100% |
3359
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
4077
48.4 IPS |
|
|
Face Detection (Q)
|
96% |
3520
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4113
31.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
6180
47.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
4834
45.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13513
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24906
32.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24337
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1976
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2704
99.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2757
102.2 IPS |
|
|
Text Classification (SP)
|
35% |
28
256.9 IPS |
|
|
Text Classification (HP)
|
29% |
16
277.8 IPS |
|
|
Text Classification (Q)
|
32% |
20
260.9 IPS |
|
|
Machine Translation (SP)
|
100% |
397
6.84 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.74 IPS |
|
|
Machine Translation (Q)
|
43% |
120
6.96 IPS |
