Xiaomi M2103K19G
Geekbench AI Score
280
Single Precision Score
503
Half Precision Score
391
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | StripeyMiata |
| Upload Date | September 22 2025 06:21 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
151
28.0 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (Q)
|
97% |
257
47.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
267
4.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
555
9.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
512
8.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
1117
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1987
2.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
1997
2.34 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
99% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
83% |
279
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
596
7.09 IPS |
|
|
Face Detection (HP)
|
100% |
1391
16.5 IPS |
|
|
Face Detection (Q)
|
96% |
1027
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
809
6.23 IPS |
|
|
Depth Estimation (HP)
|
98% |
1488
11.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
1168
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2005
2.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3897
5.01 IPS |
|
|
Style Transfer (Q)
|
98% |
3831
4.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
736
27.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
756
28.0 IPS |
|
|
Text Classification (SP)
|
35% |
7
61.8 IPS |
|
|
Text Classification (HP)
|
35% |
10
102.2 IPS |
|
|
Text Classification (Q)
|
32% |
7
89.3 IPS |
|
|
Machine Translation (SP)
|
100% |
132
2.28 IPS |
|
|
Machine Translation (HP)
|
100% |
193
3.32 IPS |
|
|
Machine Translation (Q)
|
43% |
47
2.74 IPS |
