Xiaomi Poco F5
Geekbench AI Score
452
Single Precision Score
683
Half Precision Score
702
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 30 2025 05:29 PM |
| Views | 1 |
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 23049PCD8I |
| Motherboard | marblein |
| 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 | 7.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.3 IPS |
|
|
Image Classification (Q)
|
97% |
473
88.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1023
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
532
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
970
1.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
988
1.16 IPS |
|
|
Object Detection (SP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (HP)
|
100% |
443
35.2 IPS |
|
|
Object Detection (Q)
|
89% |
439
35.1 IPS |
|
|
Face Detection (SP)
|
100% |
1071
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1614
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
1548
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
781
6.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
1450
11.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1180
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1823
2.34 IPS |
|
|
Style Transfer (HP)
|
100% |
3935
5.06 IPS |
|
|
Style Transfer (Q)
|
98% |
3875
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
284
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
401
14.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
385
14.3 IPS |
|
|
Text Classification (SP)
|
100% |
124
166.0 IPS |
|
|
Text Classification (HP)
|
100% |
125
166.6 IPS |
|
|
Text Classification (Q)
|
91% |
222
298.0 IPS |
|
|
Machine Translation (SP)
|
100% |
219
3.77 IPS |
|
|
Machine Translation (HP)
|
100% |
244
4.21 IPS |
|
|
Machine Translation (Q)
|
57% |
230
5.62 IPS |
