Xiaomi Poco F6
Geekbench AI Score
1181
Single Precision Score
1035
Half Precision Score
2016
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | DonMiguel85 |
| Upload Date | March 09 2025 12:41 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1067
198.4 IPS |
|
|
Image Classification (HP)
|
100% |
1276
237.4 IPS |
|
|
Image Classification (Q)
|
100% |
1335
248.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2701
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3050
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1733
2.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
6685
7.93 IPS |
|
|
Object Detection (SP)
|
98% |
672
53.5 IPS |
|
|
Object Detection (HP)
|
98% |
688
54.8 IPS |
|
|
Object Detection (Q)
|
83% |
1217
98.3 IPS |
|
|
Face Detection (SP)
|
100% |
1161
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1157
13.7 IPS |
|
|
Face Detection (Q)
|
95% |
2258
27.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2772
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1534
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2622
24.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3460
4.49 IPS |
|
|
Style Transfer (HP)
|
89% |
3571
4.64 IPS |
|
|
Style Transfer (Q)
|
98% |
6456
8.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
800
29.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3232
119.8 IPS |
|
|
Text Classification (SP)
|
100% |
383
511.2 IPS |
|
|
Text Classification (HP)
|
99% |
384
512.0 IPS |
|
|
Text Classification (Q)
|
88% |
570
768.9 IPS |
|
|
Machine Translation (SP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
539
19.1 IPS |
