Xiaomi Poco F6
Geekbench AI Score
335
Single Precision Score
333
Half Precision Score
765
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | DonMiguel85 |
| Upload Date | August 09 2025 02:19 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
198
36.8 IPS |
|
|
Image Classification (HP)
|
100% |
183
34.0 IPS |
|
|
Image Classification (Q)
|
99% |
524
97.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
523
8.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
359
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
364
0.42 IPS |
|
|
Pose Estimation (Q)
|
98% |
1388
1.62 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
87% |
558
44.8 IPS |
|
|
Face Detection (SP)
|
100% |
498
5.92 IPS |
|
|
Face Detection (HP)
|
100% |
502
5.96 IPS |
|
|
Face Detection (Q)
|
97% |
1109
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
448
3.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
440
3.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
1041
9.44 IPS |
|
|
Style Transfer (SP)
|
100% |
732
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
713
0.92 IPS |
|
|
Style Transfer (Q)
|
98% |
1796
2.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
220
8.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
220
8.13 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
788
29.2 IPS |
|
|
Text Classification (SP)
|
100% |
293
391.2 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.5 IPS |
|
|
Text Classification (Q)
|
91% |
501
673.6 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.16 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (Q)
|
57% |
400
9.77 IPS |
