Xiaomi Poco X5 Pro
Geekbench AI Score
746
Single Precision Score
750
Half Precision Score
1467
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 17 2025 12:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 778G |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi Poco X5 Pro |
| Model ID | Xiaomi 22101320G |
| Motherboard | redwood |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM redwood |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
393
73.0 IPS |
|
|
Image Classification (HP)
|
100% |
393
73.1 IPS |
|
|
Image Classification (Q)
|
100% |
1185
220.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
443
7.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
1374
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1776
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1724
2.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
2590
3.07 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.5 IPS |
|
|
Object Detection (HP)
|
100% |
350
27.7 IPS |
|
|
Object Detection (Q)
|
83% |
1007
81.3 IPS |
|
|
Face Detection (SP)
|
100% |
923
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
929
11.0 IPS |
|
|
Face Detection (Q)
|
95% |
2460
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1359
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1388
10.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2392
21.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2765
3.59 IPS |
|
|
Style Transfer (HP)
|
89% |
2773
3.60 IPS |
|
|
Style Transfer (Q)
|
98% |
5976
7.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
734
27.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
738
27.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1289
47.8 IPS |
|
|
Text Classification (SP)
|
100% |
338
450.5 IPS |
|
|
Text Classification (HP)
|
100% |
367
489.5 IPS |
|
|
Text Classification (Q)
|
88% |
675
910.7 IPS |
|
|
Machine Translation (SP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
559
9.62 IPS |
|
|
Machine Translation (Q)
|
50% |
356
12.6 IPS |
