Xiaomi Poco F5
Geekbench AI Score
238
Single Precision Score
238
Half Precision Score
25067
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | oscarbg81 |
| Upload Date | December 07 2024 06:27 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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
25.5 IPS |
|
|
Image Classification (HP)
|
100% |
139
25.8 IPS |
|
|
Image Classification (Q)
|
99% |
21045
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
180
2.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
17379
282.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
246
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
246
0.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
150072
176.0 IPS |
|
|
Object Detection (SP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (Q)
|
88% |
11500
921.3 IPS |
|
|
Face Detection (SP)
|
100% |
365
4.34 IPS |
|
|
Face Detection (HP)
|
100% |
368
4.37 IPS |
|
|
Face Detection (Q)
|
97% |
57171
681.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
315
2.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
317
2.44 IPS |
|
|
Depth Estimation (Q)
|
64% |
53368
491.3 IPS |
|
|
Style Transfer (SP)
|
100% |
564
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
562
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
182769
235.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
156
5.75 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
156
5.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
55662
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
200
267.2 IPS |
|
|
Text Classification (HP)
|
100% |
200
267.5 IPS |
|
|
Text Classification (Q)
|
94% |
4418
5.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (HP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (Q)
|
50% |
1132
39.2 IPS |
