Xiaomi Poco F3
Geekbench AI Score
727
Single Precision Score
723
Half Precision Score
1202
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 07:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 870 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Poco F3 |
| Model ID | Xiaomi M2012K11AG |
| Motherboard | alioth |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
241
44.9 IPS |
|
|
Image Classification (HP)
|
100% |
343
63.9 IPS |
|
|
Image Classification (Q)
|
100% |
1238
230.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
578
9.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
602
9.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
1426
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2016
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1846
2.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
3040
3.61 IPS |
|
|
Object Detection (SP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (HP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (Q)
|
83% |
1050
84.8 IPS |
|
|
Face Detection (SP)
|
100% |
1295
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1312
15.6 IPS |
|
|
Face Detection (Q)
|
95% |
2488
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1769
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1579
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2488
22.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3626
4.71 IPS |
|
|
Style Transfer (HP)
|
89% |
3247
4.22 IPS |
|
|
Style Transfer (Q)
|
98% |
6305
8.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
890
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
638
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.5 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.5 IPS |
|
|
Text Classification (Q)
|
88% |
281
379.5 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (Q)
|
50% |
161
5.73 IPS |
