Xiaomi M2012K11AI
Geekbench AI Score
424
Single Precision Score
693
Half Precision Score
713
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | DoomSlayer |
| Upload Date | November 09 2024 06:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
293
54.4 IPS |
|
|
Image Classification (HP)
|
100% |
412
76.5 IPS |
|
|
Image Classification (Q)
|
97% |
405
75.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
331
5.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
599
9.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
616
10.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
558
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1117
1.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
1109
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (Q)
|
89% |
312
25.0 IPS |
|
|
Face Detection (SP)
|
100% |
663
7.88 IPS |
|
|
Face Detection (HP)
|
100% |
1276
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
1287
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
657
5.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
1250
9.66 IPS |
|
|
Depth Estimation (Q)
|
62% |
1012
9.58 IPS |
|
|
Style Transfer (SP)
|
100% |
1262
1.62 IPS |
|
|
Style Transfer (HP)
|
100% |
3144
4.04 IPS |
|
|
Style Transfer (Q)
|
98% |
3178
4.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
303
11.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
622
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
607
22.5 IPS |
|
|
Text Classification (SP)
|
100% |
249
332.7 IPS |
|
|
Text Classification (HP)
|
100% |
251
334.6 IPS |
|
|
Text Classification (Q)
|
91% |
434
583.9 IPS |
|
|
Machine Translation (SP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.72 IPS |
|
|
Machine Translation (Q)
|
57% |
361
8.82 IPS |
