Xiaomi M2012K11AI
Geekbench AI Score
461
Single Precision Score
558
Half Precision Score
1928
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | DoomSlayer |
| Upload Date | November 09 2024 05:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi M2012K11AI |
| Model ID | Xiaomi M2012K11AI |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 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 @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
483
89.9 IPS |
|
|
Image Classification (HP)
|
100% |
781
145.2 IPS |
|
|
Image Classification (Q)
|
97% |
1336
249.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
1299
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1611
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
6041
7.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
11547
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
85% |
1665
134.0 IPS |
|
|
Face Detection (SP)
|
100% |
1296
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
401
4.76 IPS |
|
|
Face Detection (Q)
|
97% |
3713
44.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
529
4.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
336
2.59 IPS |
|
|
Depth Estimation (Q)
|
63% |
6546
61.0 IPS |
|
|
Style Transfer (SP)
|
100% |
818
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
549
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
4266
5.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2346
86.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5393
199.8 IPS |
|
|
Text Classification (SP)
|
71% |
13
18.2 IPS |
|
|
Text Classification (HP)
|
100% |
246
328.8 IPS |
|
|
Text Classification (Q)
|
93% |
147
196.8 IPS |
|
|
Machine Translation (SP)
|
100% |
295
5.09 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.70 IPS |
|
|
Machine Translation (Q)
|
54% |
260
7.34 IPS |
