Xiaomi Poco F5
Geekbench AI Score
998
Single Precision Score
1657
Half Precision Score
1519
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 11:28 PM |
| Views | 2 |
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% |
855
158.9 IPS |
|
|
Image Classification (HP)
|
100% |
1155
214.8 IPS |
|
|
Image Classification (Q)
|
99% |
1291
240.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2065
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4663
5.44 IPS |
|
|
Pose Estimation (HP)
|
99% |
9272
10.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
8498
9.95 IPS |
|
|
Object Detection (SP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (HP)
|
99% |
885
70.2 IPS |
|
|
Object Detection (Q)
|
85% |
815
65.6 IPS |
|
|
Face Detection (SP)
|
100% |
2158
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
4274
50.8 IPS |
|
|
Face Detection (Q)
|
97% |
3498
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2299
17.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3909
30.2 IPS |
|
|
Depth Estimation (Q)
|
65% |
3185
28.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5550
7.13 IPS |
|
|
Style Transfer (HP)
|
100% |
11623
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
11626
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
976
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2089
77.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2018
74.8 IPS |
|
|
Text Classification (SP)
|
35% |
35
338.0 IPS |
|
|
Text Classification (HP)
|
35% |
39
355.5 IPS |
|
|
Text Classification (Q)
|
35% |
39
356.3 IPS |
|
|
Machine Translation (SP)
|
100% |
422
7.27 IPS |
|
|
Machine Translation (HP)
|
97% |
453
7.83 IPS |
|
|
Machine Translation (Q)
|
64% |
349
7.18 IPS |
