Xiaomi Poco X3
Geekbench AI Score
474
Single Precision Score
477
Half Precision Score
981
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | thisisganesh |
| Upload Date | August 20 2024 11:48 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 732G |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Poco X3 |
| Model ID | Xiaomi M2007J20CI |
| Motherboard | karna |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
204
38.0 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.7 IPS |
|
|
Image Classification (Q)
|
100% |
692
128.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
268
4.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
265
4.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
757
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1018
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1004
1.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
1592
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
206
16.3 IPS |
|
|
Object Detection (Q)
|
87% |
670
53.8 IPS |
|
|
Face Detection (SP)
|
100% |
657
7.81 IPS |
|
|
Face Detection (HP)
|
100% |
656
7.79 IPS |
|
|
Face Detection (Q)
|
95% |
1498
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
868
6.69 IPS |
|
|
Depth Estimation (HP)
|
100% |
861
6.63 IPS |
|
|
Depth Estimation (Q)
|
75% |
1692
13.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1617
2.10 IPS |
|
|
Style Transfer (HP)
|
89% |
1683
2.18 IPS |
|
|
Style Transfer (Q)
|
98% |
3680
4.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
457
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
924
34.2 IPS |
|
|
Text Classification (SP)
|
100% |
277
370.3 IPS |
|
|
Text Classification (HP)
|
100% |
280
374.3 IPS |
|
|
Text Classification (Q)
|
88% |
527
710.6 IPS |
|
|
Machine Translation (SP)
|
100% |
440
7.58 IPS |
|
|
Machine Translation (HP)
|
100% |
433
7.45 IPS |
|
|
Machine Translation (Q)
|
50% |
328
11.6 IPS |
