Xiaomi Poco F5
Geekbench AI Score
1196
Single Precision Score
1142
Half Precision Score
2565
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 03:56 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% |
613
114.0 IPS |
|
|
Image Classification (HP)
|
100% |
565
105.0 IPS |
|
|
Image Classification (Q)
|
100% |
2101
390.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
723
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
754
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2381
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2657
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2553
2.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
5913
7.01 IPS |
|
|
Object Detection (SP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (HP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (Q)
|
83% |
1733
140.0 IPS |
|
|
Face Detection (SP)
|
100% |
1884
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
1864
22.1 IPS |
|
|
Face Detection (Q)
|
95% |
4032
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2491
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2089
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3969
36.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3917
5.09 IPS |
|
|
Style Transfer (HP)
|
89% |
3726
4.84 IPS |
|
|
Style Transfer (Q)
|
98% |
10483
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1167
43.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1166
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2550
94.5 IPS |
|
|
Text Classification (SP)
|
100% |
493
657.8 IPS |
|
|
Text Classification (HP)
|
100% |
492
656.1 IPS |
|
|
Text Classification (Q)
|
88% |
982
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (Q)
|
50% |
574
20.4 IPS |
