Xiaomi 25053PC47G
Geekbench AI Score
402
Single Precision Score
390
Half Precision Score
879
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | moonhead95 |
| Upload Date | August 28 2025 12:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25053PC47G |
| Model ID | Xiaomi 25053PC47G |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 2 Cores @ 2.02 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Cluster 3 | 3 Cores @ 3.01 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 10.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
273
50.7 IPS |
|
|
Image Classification (HP)
|
100% |
281
52.3 IPS |
|
|
Image Classification (Q)
|
99% |
705
131.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
363
5.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
748
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
481
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
366
0.43 IPS |
|
|
Pose Estimation (Q)
|
98% |
1582
1.85 IPS |
|
|
Object Detection (SP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
87% |
778
62.4 IPS |
|
|
Face Detection (SP)
|
100% |
646
7.68 IPS |
|
|
Face Detection (HP)
|
100% |
537
6.38 IPS |
|
|
Face Detection (Q)
|
97% |
1168
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
454
3.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
453
3.49 IPS |
|
|
Depth Estimation (Q)
|
64% |
1019
9.24 IPS |
|
|
Style Transfer (SP)
|
100% |
745
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
744
0.96 IPS |
|
|
Style Transfer (Q)
|
98% |
1769
2.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
231
8.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
231
8.54 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
785
29.1 IPS |
|
|
Text Classification (SP)
|
100% |
296
395.4 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.7 IPS |
|
|
Text Classification (Q)
|
91% |
480
645.8 IPS |
|
|
Machine Translation (SP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
57% |
540
13.2 IPS |
