Xiaomi Poco F2 Pro
Geekbench AI Score
360
Single Precision Score
606
Half Precision Score
616
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 10:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Poco F2 Pro |
| Model ID | Xiaomi POCO F2 Pro |
| Motherboard | lmi |
| 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 @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
257
47.7 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.8 IPS |
|
|
Image Classification (Q)
|
97% |
382
71.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
727
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
646
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
792
0.92 IPS |
|
|
Pose Estimation (Q)
|
95% |
775
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
259
20.6 IPS |
|
|
Object Detection (Q)
|
89% |
264
21.2 IPS |
|
|
Face Detection (SP)
|
100% |
616
7.32 IPS |
|
|
Face Detection (HP)
|
100% |
1294
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
1271
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
582
4.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
1125
8.69 IPS |
|
|
Depth Estimation (Q)
|
62% |
921
8.72 IPS |
|
|
Style Transfer (SP)
|
100% |
1108
1.42 IPS |
|
|
Style Transfer (HP)
|
100% |
2867
3.69 IPS |
|
|
Style Transfer (Q)
|
98% |
2839
3.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
566
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
593
22.0 IPS |
|
|
Text Classification (SP)
|
100% |
139
185.2 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.5 IPS |
|
|
Text Classification (Q)
|
91% |
308
414.1 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (HP)
|
100% |
300
5.18 IPS |
|
|
Machine Translation (Q)
|
57% |
260
6.34 IPS |
