Xiaomi Poco F5
Geekbench AI Score
190
Single Precision Score
188
Half Precision Score
441
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | likelake |
| Upload Date | November 07 2024 12:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
137
25.4 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.4 IPS |
|
|
Image Classification (Q)
|
99% |
361
67.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
344
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
194
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
188
0.22 IPS |
|
|
Pose Estimation (Q)
|
98% |
754
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
108
8.54 IPS |
|
|
Object Detection (HP)
|
100% |
103
8.18 IPS |
|
|
Object Detection (Q)
|
87% |
300
24.0 IPS |
|
|
Face Detection (SP)
|
100% |
277
3.29 IPS |
|
|
Face Detection (HP)
|
100% |
279
3.32 IPS |
|
|
Face Detection (Q)
|
97% |
605
7.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
239
1.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
241
1.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
574
5.21 IPS |
|
|
Style Transfer (SP)
|
100% |
428
0.55 IPS |
|
|
Style Transfer (HP)
|
100% |
428
0.55 IPS |
|
|
Style Transfer (Q)
|
98% |
1140
1.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
117
4.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
122
4.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
408
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
147
196.2 IPS |
|
|
Text Classification (HP)
|
100% |
149
198.3 IPS |
|
|
Text Classification (Q)
|
91% |
268
360.5 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.47 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.49 IPS |
|
|
Machine Translation (Q)
|
57% |
232
5.68 IPS |
