Xiaomi Poco F3
Geekbench AI Score
289
Single Precision Score
444
Half Precision Score
446
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 07:35 AM |
| Views | 2 |
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% |
284
52.8 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.3 IPS |
|
|
Image Classification (Q)
|
97% |
413
77.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
257
4.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
232
3.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
559
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1106
1.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
974
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
206
16.3 IPS |
|
|
Object Detection (Q)
|
89% |
210
16.8 IPS |
|
|
Face Detection (SP)
|
100% |
670
7.96 IPS |
|
|
Face Detection (HP)
|
100% |
1234
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
1200
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
655
5.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
1238
9.57 IPS |
|
|
Depth Estimation (Q)
|
62% |
1003
9.50 IPS |
|
|
Style Transfer (SP)
|
100% |
1255
1.61 IPS |
|
|
Style Transfer (HP)
|
100% |
3106
3.99 IPS |
|
|
Style Transfer (Q)
|
98% |
3061
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
299
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
622
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
614
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
50
67.3 IPS |
|
|
Text Classification (HP)
|
100% |
50
66.7 IPS |
|
|
Text Classification (Q)
|
91% |
95
127.5 IPS |
|
|
Machine Translation (SP)
|
100% |
85
1.46 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.47 IPS |
|
|
Machine Translation (Q)
|
57% |
75
1.83 IPS |
