Xiaomi Poco F5
Geekbench AI Score
1152
Single Precision Score
1117
Half Precision Score
2422
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 09:34 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% |
598
111.2 IPS |
|
|
Image Classification (HP)
|
100% |
594
110.5 IPS |
|
|
Image Classification (Q)
|
100% |
2228
414.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
768
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
768
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2441
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2682
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2484
2.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
5047
5.99 IPS |
|
|
Object Detection (SP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (HP)
|
100% |
451
35.7 IPS |
|
|
Object Detection (Q)
|
83% |
1685
136.1 IPS |
|
|
Face Detection (SP)
|
100% |
1579
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1585
18.8 IPS |
|
|
Face Detection (Q)
|
95% |
3619
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2165
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2162
16.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4060
37.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3730
4.84 IPS |
|
|
Style Transfer (HP)
|
89% |
3530
4.58 IPS |
|
|
Style Transfer (Q)
|
98% |
9338
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1177
43.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1170
43.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2279
84.4 IPS |
|
|
Text Classification (SP)
|
100% |
491
655.1 IPS |
|
|
Text Classification (HP)
|
100% |
520
693.5 IPS |
|
|
Text Classification (Q)
|
88% |
930
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
50% |
517
18.4 IPS |
