Xiaomi Poco M2 Pro
Geekbench AI Score
511
Single Precision Score
508
Half Precision Score
971
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 11 2024 09:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 720G |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Poco M2 Pro |
| Model ID | Xiaomi POCO M2 Pro |
| Motherboard | gram |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.32 GHz |
| Memory Information | |
|---|---|
| Size | 5.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
233
43.3 IPS |
|
|
Image Classification (HP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (Q)
|
100% |
633
117.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
269
4.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
684
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1145
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1134
1.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
1702
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
680
54.9 IPS |
|
|
Face Detection (SP)
|
100% |
697
8.28 IPS |
|
|
Face Detection (HP)
|
100% |
697
8.29 IPS |
|
|
Face Detection (Q)
|
95% |
1537
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
872
6.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
831
6.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
1573
14.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1883
2.44 IPS |
|
|
Style Transfer (HP)
|
89% |
1885
2.45 IPS |
|
|
Style Transfer (Q)
|
98% |
3734
4.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
483
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
955
35.4 IPS |
|
|
Text Classification (SP)
|
100% |
256
341.8 IPS |
|
|
Text Classification (HP)
|
100% |
278
370.6 IPS |
|
|
Text Classification (Q)
|
88% |
519
699.7 IPS |
|
|
Machine Translation (SP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (HP)
|
100% |
470
8.10 IPS |
|
|
Machine Translation (Q)
|
50% |
334
11.8 IPS |
