Xiaomi Poco F5
Geekbench AI Score
557
Single Precision Score
840
Half Precision Score
843
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Varuchi |
| Upload Date | June 05 2025 04:04 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 7+ Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
384
71.4 IPS |
|
|
Image Classification (HP)
|
100% |
663
123.2 IPS |
|
|
Image Classification (Q)
|
97% |
615
114.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1186
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
603
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1090
1.27 IPS |
|
|
Pose Estimation (Q)
|
95% |
1104
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.9 IPS |
|
|
Object Detection (Q)
|
89% |
522
41.8 IPS |
|
|
Face Detection (SP)
|
100% |
1244
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1710
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
1468
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
915
7.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
1679
13.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1374
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2038
2.62 IPS |
|
|
Style Transfer (HP)
|
100% |
4434
5.70 IPS |
|
|
Style Transfer (Q)
|
98% |
4367
5.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
335
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
470
17.4 IPS |
|
|
Text Classification (SP)
|
100% |
199
265.2 IPS |
|
|
Text Classification (HP)
|
100% |
199
265.7 IPS |
|
|
Text Classification (Q)
|
91% |
354
476.4 IPS |
|
|
Machine Translation (SP)
|
100% |
335
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
336
5.79 IPS |
|
|
Machine Translation (Q)
|
57% |
295
7.22 IPS |
