Xiaomi POCO M2 Pro
Geekbench AI Score
462
Single Precision Score
417
Half Precision Score
793
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 05:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
235
43.8 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.2 IPS |
|
|
Image Classification (Q)
|
100% |
697
129.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
291
4.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
748
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1054
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
955
1.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
1701
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (Q)
|
83% |
550
44.4 IPS |
|
|
Face Detection (SP)
|
100% |
682
8.10 IPS |
|
|
Face Detection (HP)
|
100% |
660
7.84 IPS |
|
|
Face Detection (Q)
|
95% |
1036
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
653
5.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
590
4.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
1180
10.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1801
2.34 IPS |
|
|
Style Transfer (HP)
|
89% |
1309
1.70 IPS |
|
|
Style Transfer (Q)
|
98% |
3450
4.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
436
16.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
635
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
180
239.8 IPS |
|
|
Text Classification (HP)
|
100% |
180
240.4 IPS |
|
|
Text Classification (Q)
|
88% |
316
426.6 IPS |
|
|
Machine Translation (SP)
|
100% |
423
7.28 IPS |
|
|
Machine Translation (HP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (Q)
|
50% |
240
8.53 IPS |
