Xiaomi Poco F5
Geekbench AI Score
1008
Single Precision Score
1657
Half Precision Score
1502
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 04:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 7+ Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi Poco F5 |
| Model ID | Xiaomi 23049PCD8G |
| Motherboard | marble |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 2.92 GHz |
| Memory Information | |
|---|---|
| Size | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
760
141.4 IPS |
|
|
Image Classification (HP)
|
100% |
1107
205.9 IPS |
|
|
Image Classification (Q)
|
99% |
1083
202.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1926
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4695
5.48 IPS |
|
|
Pose Estimation (HP)
|
99% |
8834
10.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
8517
9.97 IPS |
|
|
Object Detection (SP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (HP)
|
99% |
843
66.8 IPS |
|
|
Object Detection (Q)
|
85% |
801
64.4 IPS |
|
|
Face Detection (SP)
|
100% |
2220
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
4142
49.2 IPS |
|
|
Face Detection (Q)
|
97% |
3362
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2438
18.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4074
31.5 IPS |
|
|
Depth Estimation (Q)
|
65% |
3291
29.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5721
7.35 IPS |
|
|
Style Transfer (HP)
|
100% |
11727
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
11509
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
950
35.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2025
75.0 IPS |
|
|
Text Classification (SP)
|
35% |
32
314.0 IPS |
|
|
Text Classification (HP)
|
35% |
41
375.5 IPS |
|
|
Text Classification (Q)
|
35% |
40
366.0 IPS |
|
|
Machine Translation (SP)
|
100% |
469
8.09 IPS |
|
|
Machine Translation (HP)
|
97% |
490
8.47 IPS |
|
|
Machine Translation (Q)
|
64% |
399
8.19 IPS |
