Xiaomi Poco F5
Geekbench AI Score
1005
Single Precision Score
1731
Half Precision Score
1571
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 02:31 AM |
| Views | 1 |
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% |
806
149.9 IPS |
|
|
Image Classification (HP)
|
100% |
1364
253.6 IPS |
|
|
Image Classification (Q)
|
99% |
1312
244.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1953
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4676
5.46 IPS |
|
|
Pose Estimation (HP)
|
99% |
8513
9.93 IPS |
|
|
Pose Estimation (Q)
|
97% |
8539
10.00 IPS |
|
|
Object Detection (SP)
|
100% |
524
41.6 IPS |
|
|
Object Detection (HP)
|
99% |
990
78.5 IPS |
|
|
Object Detection (Q)
|
85% |
816
65.7 IPS |
|
|
Face Detection (SP)
|
100% |
2151
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
4163
49.5 IPS |
|
|
Face Detection (Q)
|
97% |
3410
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2315
17.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3993
30.9 IPS |
|
|
Depth Estimation (Q)
|
65% |
3202
28.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5517
7.09 IPS |
|
|
Style Transfer (HP)
|
100% |
12258
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
11657
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
973
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2181
80.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2127
78.8 IPS |
|
|
Text Classification (SP)
|
35% |
31
303.0 IPS |
|
|
Text Classification (HP)
|
35% |
41
371.5 IPS |
|
|
Text Classification (Q)
|
35% |
49
442.9 IPS |
|
|
Machine Translation (SP)
|
100% |
462
7.96 IPS |
|
|
Machine Translation (HP)
|
97% |
497
8.59 IPS |
|
|
Machine Translation (Q)
|
64% |
387
7.94 IPS |
