Xiaomi Poco F6
Geekbench AI Score
1178
Single Precision Score
1391
Half Precision Score
1821
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Slich2 |
| Upload Date | January 04 2025 05:47 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8s Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1493
277.7 IPS |
|
|
Image Classification (HP)
|
100% |
608
113.1 IPS |
|
|
Image Classification (Q)
|
100% |
1964
365.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2325
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2996
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3028
3.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
6587
7.81 IPS |
|
|
Object Detection (SP)
|
98% |
1197
95.3 IPS |
|
|
Object Detection (HP)
|
98% |
1359
108.2 IPS |
|
|
Object Detection (Q)
|
83% |
1070
86.5 IPS |
|
|
Face Detection (SP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1132
13.5 IPS |
|
|
Face Detection (Q)
|
95% |
2278
27.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2947
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2922
22.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2774
25.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3224
4.18 IPS |
|
|
Style Transfer (HP)
|
89% |
7678
9.97 IPS |
|
|
Style Transfer (Q)
|
98% |
5532
7.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
733
27.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
745
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1452
53.8 IPS |
|
|
Text Classification (SP)
|
100% |
346
461.9 IPS |
|
|
Text Classification (HP)
|
99% |
287
383.0 IPS |
|
|
Text Classification (Q)
|
88% |
524
706.4 IPS |
|
|
Machine Translation (SP)
|
100% |
746
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (Q)
|
50% |
470
16.7 IPS |
