Xiaomi Poco X3 GT
Geekbench AI Score
389
Single Precision Score
387
Half Precision Score
722
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 16 2025 10:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 1100 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Poco X3 GT |
| Model ID | Xiaomi 21061110AG |
| Motherboard | chopin |
| CPU Information | |
|---|---|
| Name | ARM MT6891Z/CZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
170
31.5 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.2 IPS |
|
|
Image Classification (Q)
|
100% |
518
96.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
239
3.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
236
3.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
609
9.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
883
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
863
1.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
1318
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
83% |
498
40.2 IPS |
|
|
Face Detection (SP)
|
100% |
583
6.93 IPS |
|
|
Face Detection (HP)
|
100% |
605
7.19 IPS |
|
|
Face Detection (Q)
|
95% |
1260
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
746
5.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
692
5.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
1199
11.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1588
2.06 IPS |
|
|
Style Transfer (HP)
|
89% |
1566
2.03 IPS |
|
|
Style Transfer (Q)
|
98% |
2769
3.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
385
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
381
14.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
725
26.9 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.4 IPS |
|
|
Text Classification (HP)
|
100% |
159
211.7 IPS |
|
|
Text Classification (Q)
|
88% |
302
407.6 IPS |
|
|
Machine Translation (SP)
|
100% |
299
5.16 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (Q)
|
50% |
204
7.25 IPS |
