Xiaomi POCO M2 Pro
Geekbench AI Score
283
Single Precision Score
447
Half Precision Score
402
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 05:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi POCO M2 Pro |
| Model ID | Xiaomi POCO M2 Pro |
| Motherboard | atoll |
| 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 | 3.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
219
40.7 IPS |
|
|
Image Classification (HP)
|
100% |
326
60.5 IPS |
|
|
Image Classification (Q)
|
99% |
300
56.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
509
8.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
443
7.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
1241
1.45 IPS |
|
|
Pose Estimation (HP)
|
99% |
2091
2.44 IPS |
|
|
Pose Estimation (Q)
|
97% |
2053
2.40 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
99% |
253
20.1 IPS |
|
|
Object Detection (Q)
|
85% |
241
19.4 IPS |
|
|
Face Detection (SP)
|
100% |
594
7.06 IPS |
|
|
Face Detection (HP)
|
100% |
903
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
787
9.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
704
5.42 IPS |
|
|
Depth Estimation (HP)
|
98% |
1157
8.94 IPS |
|
|
Depth Estimation (Q)
|
63% |
946
8.74 IPS |
|
|
Style Transfer (SP)
|
100% |
1673
2.15 IPS |
|
|
Style Transfer (HP)
|
100% |
3140
4.04 IPS |
|
|
Style Transfer (Q)
|
98% |
3023
3.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
469
17.4 IPS |
|
|
Text Classification (SP)
|
35% |
10
99.2 IPS |
|
|
Text Classification (HP)
|
35% |
18
160.6 IPS |
|
|
Text Classification (Q)
|
35% |
17
151.6 IPS |
|
|
Machine Translation (SP)
|
100% |
107
1.83 IPS |
|
|
Machine Translation (HP)
|
97% |
130
2.24 IPS |
|
|
Machine Translation (Q)
|
64% |
94
1.93 IPS |
