Xiaomi M2012K11AG
Geekbench AI Score
414
Single Precision Score
714
Half Precision Score
718
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | sinanthonyxd |
| Upload Date | March 06 2025 05:14 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi M2012K11AG |
| Model ID | Xiaomi M2012K11AG |
| 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 | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
285
53.1 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.5 IPS |
|
|
Image Classification (Q)
|
97% |
414
77.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
406
6.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
792
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
562
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1120
1.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
988
1.16 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
367
29.1 IPS |
|
|
Object Detection (Q)
|
89% |
388
31.0 IPS |
|
|
Face Detection (SP)
|
100% |
752
8.93 IPS |
|
|
Face Detection (HP)
|
100% |
1548
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
1528
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
669
5.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
1280
9.89 IPS |
|
|
Depth Estimation (Q)
|
62% |
1044
9.88 IPS |
|
|
Style Transfer (SP)
|
100% |
1281
1.65 IPS |
|
|
Style Transfer (HP)
|
100% |
3233
4.16 IPS |
|
|
Style Transfer (Q)
|
98% |
3228
4.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
717
26.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
706
26.1 IPS |
|
|
Text Classification (SP)
|
100% |
144
192.1 IPS |
|
|
Text Classification (HP)
|
100% |
174
231.9 IPS |
|
|
Text Classification (Q)
|
91% |
335
449.9 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (HP)
|
100% |
307
5.29 IPS |
|
|
Machine Translation (Q)
|
57% |
239
5.83 IPS |
