Xiaomi Poco F5
Geekbench AI Score
1230
Single Precision Score
1260
Half Precision Score
2824
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | likelake |
| Upload Date | November 07 2024 12:23 PM |
| Views | 4 |
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 | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
402
74.8 IPS |
|
|
Image Classification (HP)
|
100% |
607
113.0 IPS |
|
|
Image Classification (Q)
|
100% |
2140
398.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
763
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
752
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2435
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2716
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2618
3.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
5875
6.97 IPS |
|
|
Object Detection (SP)
|
100% |
562
44.6 IPS |
|
|
Object Detection (HP)
|
100% |
545
43.3 IPS |
|
|
Object Detection (Q)
|
83% |
2182
176.3 IPS |
|
|
Face Detection (SP)
|
100% |
1845
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
1825
21.7 IPS |
|
|
Face Detection (Q)
|
95% |
4834
57.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2557
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2510
19.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5066
46.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4347
5.64 IPS |
|
|
Style Transfer (HP)
|
89% |
4293
5.57 IPS |
|
|
Style Transfer (Q)
|
98% |
12764
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1372
50.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1386
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3089
114.5 IPS |
|
|
Text Classification (SP)
|
100% |
609
812.4 IPS |
|
|
Text Classification (HP)
|
100% |
673
897.9 IPS |
|
|
Text Classification (Q)
|
88% |
1209
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
991
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (Q)
|
50% |
415
14.7 IPS |
