Xiaomi Poco F5
Geekbench AI Score
1104
Single Precision Score
1085
Half Precision Score
2451
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 07:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
612
113.7 IPS |
|
|
Image Classification (HP)
|
100% |
561
104.4 IPS |
|
|
Image Classification (Q)
|
100% |
2206
410.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
759
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
755
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2406
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2679
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2283
2.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
4870
5.78 IPS |
|
|
Object Detection (SP)
|
100% |
428
34.0 IPS |
|
|
Object Detection (HP)
|
100% |
446
35.3 IPS |
|
|
Object Detection (Q)
|
83% |
1615
130.4 IPS |
|
|
Face Detection (SP)
|
100% |
1560
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1543
18.3 IPS |
|
|
Face Detection (Q)
|
95% |
3567
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2070
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2079
16.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3900
35.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3683
4.78 IPS |
|
|
Style Transfer (HP)
|
89% |
3662
4.75 IPS |
|
|
Style Transfer (Q)
|
98% |
10384
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1141
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1126
41.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2517
93.3 IPS |
|
|
Text Classification (SP)
|
100% |
488
652.0 IPS |
|
|
Text Classification (HP)
|
100% |
500
667.3 IPS |
|
|
Text Classification (Q)
|
88% |
927
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
769
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (Q)
|
50% |
557
19.8 IPS |
