Xiaomi Poco X3 GT
Geekbench AI Score
665
Single Precision Score
672
Half Precision Score
1488
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 02:41 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% |
374
69.6 IPS |
|
|
Image Classification (HP)
|
100% |
296
55.1 IPS |
|
|
Image Classification (Q)
|
100% |
1011
188.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
1131
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1482
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1471
1.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
2954
3.50 IPS |
|
|
Object Detection (SP)
|
100% |
291
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
297
23.6 IPS |
|
|
Object Detection (Q)
|
83% |
980
79.2 IPS |
|
|
Face Detection (SP)
|
100% |
880
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (Q)
|
95% |
2507
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1148
8.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
1117
8.61 IPS |
|
|
Depth Estimation (Q)
|
64% |
2592
23.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2865
3.72 IPS |
|
|
Style Transfer (HP)
|
89% |
2924
3.80 IPS |
|
|
Style Transfer (Q)
|
98% |
6954
8.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
599
22.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
642
23.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1471
54.5 IPS |
|
|
Text Classification (SP)
|
100% |
315
420.2 IPS |
|
|
Text Classification (HP)
|
100% |
311
414.8 IPS |
|
|
Text Classification (Q)
|
88% |
676
912.4 IPS |
|
|
Machine Translation (SP)
|
100% |
535
9.22 IPS |
|
|
Machine Translation (HP)
|
100% |
558
9.62 IPS |
|
|
Machine Translation (Q)
|
50% |
360
12.8 IPS |
