Xiaomi Poco F6
Geekbench AI Score
1290
Single Precision Score
1195
Half Precision Score
1933
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Dorazo |
| Upload Date | December 24 2024 07:32 AM |
| Views | 3 |
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% |
1017
189.1 IPS |
|
|
Image Classification (HP)
|
100% |
925
172.1 IPS |
|
|
Image Classification (Q)
|
100% |
1477
274.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
841
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1724
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2358
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
1835
2.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
4903
5.82 IPS |
|
|
Object Detection (SP)
|
98% |
813
64.7 IPS |
|
|
Object Detection (HP)
|
98% |
1066
84.8 IPS |
|
|
Object Detection (Q)
|
83% |
1038
83.9 IPS |
|
|
Face Detection (SP)
|
100% |
1069
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1077
12.8 IPS |
|
|
Face Detection (Q)
|
95% |
3588
42.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3022
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1511
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5001
45.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6365
8.26 IPS |
|
|
Style Transfer (HP)
|
89% |
3200
4.15 IPS |
|
|
Style Transfer (Q)
|
98% |
7028
9.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
873
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1339
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1436
53.2 IPS |
|
|
Text Classification (SP)
|
100% |
607
809.8 IPS |
|
|
Text Classification (HP)
|
99% |
311
415.4 IPS |
|
|
Text Classification (Q)
|
88% |
629
848.5 IPS |
|
|
Machine Translation (SP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (Q)
|
50% |
494
17.6 IPS |
