Xiaomi Poco F5
Geekbench AI Score
1115
Single Precision Score
1110
Half Precision Score
2519
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Varuchi |
| Upload Date | June 05 2025 03:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
526
97.8 IPS |
|
|
Image Classification (HP)
|
100% |
572
106.3 IPS |
|
|
Image Classification (Q)
|
100% |
2132
396.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
731
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2407
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2593
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2304
2.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
4995
5.92 IPS |
|
|
Object Detection (SP)
|
100% |
452
35.8 IPS |
|
|
Object Detection (HP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (Q)
|
83% |
1713
138.3 IPS |
|
|
Face Detection (SP)
|
100% |
1596
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
1598
19.0 IPS |
|
|
Face Detection (Q)
|
95% |
3568
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2156
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2133
16.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3959
36.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3746
4.86 IPS |
|
|
Style Transfer (HP)
|
89% |
3775
4.90 IPS |
|
|
Style Transfer (Q)
|
98% |
10475
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1174
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1164
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2609
96.7 IPS |
|
|
Text Classification (SP)
|
100% |
514
686.7 IPS |
|
|
Text Classification (HP)
|
100% |
499
666.0 IPS |
|
|
Text Classification (Q)
|
88% |
971
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (Q)
|
50% |
625
22.2 IPS |
