Xiaomi Poco F5
Geekbench AI Score
1213
Single Precision Score
1189
Half Precision Score
2682
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 03:03 PM |
| Views | 1 |
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% |
569
105.9 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.9 IPS |
|
|
Image Classification (Q)
|
100% |
2199
408.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
754
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2391
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2837
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2747
3.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
6197
7.35 IPS |
|
|
Object Detection (SP)
|
100% |
578
45.9 IPS |
|
|
Object Detection (HP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (Q)
|
83% |
1792
144.8 IPS |
|
|
Face Detection (SP)
|
100% |
1906
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
1924
22.9 IPS |
|
|
Face Detection (Q)
|
95% |
4414
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2561
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2109
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4260
39.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3832
4.97 IPS |
|
|
Style Transfer (HP)
|
89% |
3740
4.86 IPS |
|
|
Style Transfer (Q)
|
98% |
10412
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1166
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1187
43.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2581
95.6 IPS |
|
|
Text Classification (SP)
|
100% |
516
688.6 IPS |
|
|
Text Classification (HP)
|
100% |
514
686.6 IPS |
|
|
Text Classification (Q)
|
88% |
1028
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (Q)
|
50% |
635
22.5 IPS |
