Xiaomi M2012K11AI
Geekbench AI Score
852
Single Precision Score
763
Half Precision Score
1434
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | DoomSlayer |
| Upload Date | November 09 2024 06:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
549
102.1 IPS |
|
|
Image Classification (HP)
|
100% |
544
101.2 IPS |
|
|
Image Classification (Q)
|
100% |
1523
283.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1723
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2295
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2281
2.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
3565
4.23 IPS |
|
|
Object Detection (SP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (HP)
|
100% |
497
39.5 IPS |
|
|
Object Detection (Q)
|
83% |
1474
119.1 IPS |
|
|
Face Detection (SP)
|
100% |
1553
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1535
18.2 IPS |
|
|
Face Detection (Q)
|
95% |
3427
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1993
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2032
15.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3306
30.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3756
4.88 IPS |
|
|
Style Transfer (HP)
|
89% |
3863
5.01 IPS |
|
|
Style Transfer (Q)
|
98% |
7387
9.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1102
40.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
656
24.3 IPS |
|
|
Text Classification (SP)
|
100% |
166
222.2 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.4 IPS |
|
|
Text Classification (Q)
|
88% |
279
376.2 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.44 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (Q)
|
50% |
175
6.21 IPS |
