Xiaomi M2103K19G
Geekbench AI Score
484
Single Precision Score
484
Half Precision Score
913
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | StripeyMiata |
| Upload Date | September 22 2025 06:12 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6833 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi M2103K19G |
| Model ID | Xiaomi M2103K19G |
| Motherboard | camellian |
| CPU Information | |
|---|---|
| Name | ARM MT6833 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
214
39.8 IPS |
|
|
Image Classification (HP)
|
100% |
212
39.5 IPS |
|
|
Image Classification (Q)
|
100% |
613
113.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
674
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1035
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1016
1.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
1560
1.85 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (Q)
|
83% |
632
51.0 IPS |
|
|
Face Detection (SP)
|
100% |
668
7.94 IPS |
|
|
Face Detection (HP)
|
100% |
674
8.01 IPS |
|
|
Face Detection (Q)
|
95% |
1407
16.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
886
6.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
884
6.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
1425
13.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1714
2.22 IPS |
|
|
Style Transfer (HP)
|
89% |
1781
2.31 IPS |
|
|
Style Transfer (Q)
|
98% |
3569
4.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
891
33.0 IPS |
|
|
Text Classification (SP)
|
100% |
269
358.5 IPS |
|
|
Text Classification (HP)
|
100% |
265
354.2 IPS |
|
|
Text Classification (Q)
|
88% |
484
652.5 IPS |
|
|
Machine Translation (SP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (Q)
|
50% |
321
11.4 IPS |
