Xiaomi M2103K19G
Geekbench AI Score
176
Single Precision Score
177
Half Precision Score
393
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | StripeyMiata |
| Upload Date | September 22 2025 06:59 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
85
15.8 IPS |
|
|
Image Classification (HP)
|
100% |
87
16.2 IPS |
|
|
Image Classification (Q)
|
99% |
236
44.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
266
4.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
198
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
199
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
749
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
108
8.56 IPS |
|
|
Object Detection (HP)
|
100% |
108
8.56 IPS |
|
|
Object Detection (Q)
|
87% |
283
22.7 IPS |
|
|
Face Detection (SP)
|
100% |
273
3.24 IPS |
|
|
Face Detection (HP)
|
100% |
276
3.27 IPS |
|
|
Face Detection (Q)
|
97% |
534
6.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
234
1.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
234
1.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
523
4.75 IPS |
|
|
Style Transfer (SP)
|
100% |
373
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
389
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
1182
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
116
4.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
116
4.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
391
14.5 IPS |
|
|
Text Classification (SP)
|
100% |
153
204.3 IPS |
|
|
Text Classification (HP)
|
100% |
153
204.4 IPS |
|
|
Text Classification (Q)
|
91% |
253
340.5 IPS |
|
|
Machine Translation (SP)
|
100% |
254
4.38 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.47 IPS |
|
|
Machine Translation (Q)
|
57% |
204
5.00 IPS |
