Xiaomi Poco F5
Geekbench AI Score
952
Single Precision Score
1646
Half Precision Score
1528
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | paz_levi |
| Upload Date | August 30 2025 06:46 AM |
| Views | 5 |
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% |
705
131.2 IPS |
|
|
Image Classification (HP)
|
100% |
1075
199.9 IPS |
|
|
Image Classification (Q)
|
99% |
1268
236.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2310
37.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1901
30.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4654
5.43 IPS |
|
|
Pose Estimation (HP)
|
99% |
8618
10.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
8396
9.83 IPS |
|
|
Object Detection (SP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (HP)
|
99% |
859
68.1 IPS |
|
|
Object Detection (Q)
|
85% |
790
63.6 IPS |
|
|
Face Detection (SP)
|
100% |
2241
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
3684
43.8 IPS |
|
|
Face Detection (Q)
|
97% |
3500
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2127
16.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4084
31.6 IPS |
|
|
Depth Estimation (Q)
|
65% |
3146
28.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5382
6.92 IPS |
|
|
Style Transfer (HP)
|
100% |
11669
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
11703
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
958
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2071
76.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2043
75.7 IPS |
|
|
Text Classification (SP)
|
35% |
30
293.7 IPS |
|
|
Text Classification (HP)
|
35% |
39
358.1 IPS |
|
|
Text Classification (Q)
|
35% |
39
352.2 IPS |
|
|
Machine Translation (SP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (HP)
|
97% |
561
9.69 IPS |
|
|
Machine Translation (Q)
|
64% |
423
8.70 IPS |
