Xiaomi Poco F6
Geekbench AI Score
353
Single Precision Score
350
Half Precision Score
783
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | DonMiguel85 |
| Upload Date | March 09 2025 01:29 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% |
252
46.8 IPS |
|
|
Image Classification (HP)
|
100% |
242
45.0 IPS |
|
|
Image Classification (Q)
|
99% |
572
106.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
292
4.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
592
9.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
411
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
375
0.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
1378
1.61 IPS |
|
|
Object Detection (SP)
|
100% |
195
15.4 IPS |
|
|
Object Detection (HP)
|
100% |
195
15.4 IPS |
|
|
Object Detection (Q)
|
87% |
563
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
490
5.82 IPS |
|
|
Face Detection (HP)
|
100% |
499
5.93 IPS |
|
|
Face Detection (Q)
|
97% |
1145
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
449
3.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
449
3.46 IPS |
|
|
Depth Estimation (Q)
|
64% |
1017
9.23 IPS |
|
|
Style Transfer (SP)
|
100% |
750
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
747
0.96 IPS |
|
|
Style Transfer (Q)
|
98% |
1798
2.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
226
8.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
226
8.36 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
784
29.1 IPS |
|
|
Text Classification (SP)
|
100% |
296
394.6 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.6 IPS |
|
|
Text Classification (Q)
|
91% |
502
674.2 IPS |
|
|
Machine Translation (SP)
|
100% |
475
8.19 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (Q)
|
57% |
405
9.89 IPS |
