Xiaomi Poco F6
Geekbench AI Score
1692
Single Precision Score
1547
Half Precision Score
1940
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Atarax |
| Upload Date | April 09 2025 04:05 PM |
| Views | 6 |
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% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
1494
277.8 IPS |
|
|
Image Classification (Q)
|
100% |
1913
355.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1573
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2510
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2956
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2719
3.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
3193
3.79 IPS |
|
|
Object Detection (SP)
|
98% |
1318
104.9 IPS |
|
|
Object Detection (HP)
|
98% |
857
68.2 IPS |
|
|
Object Detection (Q)
|
83% |
1124
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
2342
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
2587
30.7 IPS |
|
|
Face Detection (Q)
|
95% |
2357
28.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2148
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2689
20.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4497
41.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6677
8.67 IPS |
|
|
Style Transfer (HP)
|
89% |
6847
8.89 IPS |
|
|
Style Transfer (Q)
|
98% |
6386
8.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1180
43.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
869
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1915
71.0 IPS |
|
|
Text Classification (SP)
|
100% |
551
735.1 IPS |
|
|
Text Classification (HP)
|
99% |
381
508.5 IPS |
|
|
Text Classification (Q)
|
88% |
967
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (Q)
|
50% |
351
12.5 IPS |
