Xiaomi Poco F6
Geekbench AI Score
708
Single Precision Score
955
Half Precision Score
941
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | DonMiguel85 |
| Upload Date | March 09 2025 12:49 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8s Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi Poco F6 |
| Model ID | Xiaomi 24069PC21G |
| Motherboard | peridot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
505
94.0 IPS |
|
|
Image Classification (HP)
|
100% |
507
94.3 IPS |
|
|
Image Classification (Q)
|
96% |
485
90.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
923
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
756
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1250
1.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
1253
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (HP)
|
100% |
584
46.3 IPS |
|
|
Object Detection (Q)
|
87% |
620
49.8 IPS |
|
|
Face Detection (SP)
|
100% |
1406
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1620
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
1604
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1086
8.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
1727
13.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1451
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3421
4.40 IPS |
|
|
Style Transfer (HP)
|
100% |
5493
7.06 IPS |
|
|
Style Transfer (Q)
|
98% |
5382
6.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
418
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
656
24.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
622
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.6 IPS |
|
|
Text Classification (HP)
|
100% |
301
401.6 IPS |
|
|
Text Classification (Q)
|
91% |
499
670.9 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (HP)
|
100% |
494
8.50 IPS |
|
|
Machine Translation (Q)
|
57% |
405
9.91 IPS |
