Xiaomi Poco F5
Geekbench AI Score
895
Single Precision Score
889
Half Precision Score
1804
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 30 2025 05:35 PM |
| Views | 2 |
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 23049PCD8I |
| Motherboard | marblein |
| 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% |
478
88.8 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.4 IPS |
|
|
Image Classification (Q)
|
100% |
1379
256.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
495
8.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
1505
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1960
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1967
2.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
4111
4.88 IPS |
|
|
Object Detection (SP)
|
100% |
369
29.2 IPS |
|
|
Object Detection (HP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (Q)
|
83% |
1324
106.9 IPS |
|
|
Face Detection (SP)
|
100% |
1367
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
1370
16.3 IPS |
|
|
Face Detection (Q)
|
95% |
2989
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1863
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1834
14.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2330
21.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2889
3.75 IPS |
|
|
Style Transfer (HP)
|
89% |
2880
3.74 IPS |
|
|
Style Transfer (Q)
|
98% |
7265
9.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
939
34.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
990
36.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1747
64.7 IPS |
|
|
Text Classification (SP)
|
100% |
428
571.1 IPS |
|
|
Text Classification (HP)
|
100% |
411
548.4 IPS |
|
|
Text Classification (Q)
|
88% |
808
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (Q)
|
50% |
455
16.2 IPS |
