Xiaomi M2103K19G
Geekbench AI Score
142
Single Precision Score
199
Half Precision Score
190
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 20 2024 08:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6833 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| 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% |
91
16.9 IPS |
|
|
Image Classification (HP)
|
100% |
156
28.9 IPS |
|
|
Image Classification (Q)
|
99% |
144
26.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
130
2.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
211
3.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
89
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
102
0.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
102
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
70
5.55 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.7 IPS |
|
|
Object Detection (Q)
|
83% |
118
9.53 IPS |
|
|
Face Detection (SP)
|
100% |
265
3.15 IPS |
|
|
Face Detection (HP)
|
100% |
451
5.36 IPS |
|
|
Face Detection (Q)
|
97% |
352
4.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
166
1.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
214
1.65 IPS |
|
|
Depth Estimation (Q)
|
62% |
173
1.64 IPS |
|
|
Style Transfer (SP)
|
100% |
333
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
460
0.59 IPS |
|
|
Style Transfer (Q)
|
98% |
457
0.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
81
2.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
123
4.54 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
121
4.49 IPS |
|
|
Text Classification (SP)
|
100% |
155
207.0 IPS |
|
|
Text Classification (HP)
|
100% |
156
207.9 IPS |
|
|
Text Classification (Q)
|
91% |
253
340.5 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (HP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (Q)
|
57% |
205
5.01 IPS |
