Xiaomi M2012K11G
Geekbench AI Score
322
Single Precision Score
318
Half Precision Score
647
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 24 2025 11:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Haydn |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi M2012K11G |
| Model ID | Xiaomi M2012K11G |
| Motherboard | haydn |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Haydn |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.5 IPS |
|
|
Image Classification (Q)
|
100% |
487
90.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
173
2.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
210
3.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
703
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
615
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
627
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1100
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
83% |
484
39.1 IPS |
|
|
Face Detection (SP)
|
100% |
367
4.37 IPS |
|
|
Face Detection (HP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (Q)
|
95% |
924
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
538
4.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
521
4.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
1050
9.61 IPS |
|
|
Style Transfer (SP)
|
89% |
1130
1.47 IPS |
|
|
Style Transfer (HP)
|
89% |
1144
1.48 IPS |
|
|
Style Transfer (Q)
|
98% |
2537
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
294
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
615
22.8 IPS |
|
|
Text Classification (SP)
|
100% |
166
220.9 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.6 IPS |
|
|
Text Classification (Q)
|
88% |
289
389.2 IPS |
|
|
Machine Translation (SP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (Q)
|
50% |
162
5.76 IPS |
