Xiaomi Poco F3
Geekbench AI Score
287
Single Precision Score
429
Half Precision Score
440
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 24 2024 11:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
282
52.5 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.2 IPS |
|
|
Image Classification (Q)
|
97% |
403
75.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
204
3.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
559
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1103
1.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
1096
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (HP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (Q)
|
89% |
208
16.7 IPS |
|
|
Face Detection (SP)
|
100% |
657
7.81 IPS |
|
|
Face Detection (HP)
|
100% |
1173
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
1160
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
652
5.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
1217
9.40 IPS |
|
|
Depth Estimation (Q)
|
62% |
990
9.38 IPS |
|
|
Style Transfer (SP)
|
100% |
1257
1.62 IPS |
|
|
Style Transfer (HP)
|
100% |
3069
3.95 IPS |
|
|
Style Transfer (Q)
|
98% |
3033
3.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
607
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
588
21.8 IPS |
|
|
Text Classification (SP)
|
100% |
50
66.2 IPS |
|
|
Text Classification (HP)
|
100% |
50
66.9 IPS |
|
|
Text Classification (Q)
|
91% |
95
127.7 IPS |
|
|
Machine Translation (SP)
|
100% |
84
1.45 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.46 IPS |
|
|
Machine Translation (Q)
|
57% |
75
1.83 IPS |
