Xiaomi Poco F5
Geekbench AI Score
531
Single Precision Score
817
Half Precision Score
802
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | likelake |
| Upload Date | November 07 2024 12:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
386
71.8 IPS |
|
|
Image Classification (HP)
|
100% |
655
121.8 IPS |
|
|
Image Classification (Q)
|
97% |
531
99.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1193
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
591
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1113
1.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
1109
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (HP)
|
100% |
505
40.1 IPS |
|
|
Object Detection (Q)
|
89% |
525
42.0 IPS |
|
|
Face Detection (SP)
|
100% |
1361
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
2112
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
1558
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
914
7.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
1654
12.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1337
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2040
2.62 IPS |
|
|
Style Transfer (HP)
|
100% |
4435
5.70 IPS |
|
|
Style Transfer (Q)
|
98% |
4437
5.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
334
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
448
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
148
197.7 IPS |
|
|
Text Classification (HP)
|
100% |
150
200.4 IPS |
|
|
Text Classification (Q)
|
91% |
268
360.8 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (Q)
|
57% |
269
6.57 IPS |
