Xiaomi M2012K11G
Geekbench AI Score
794
Single Precision Score
705
Half Precision Score
1276
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 01:36 PM |
| Views | 2 |
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% |
462
86.0 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (Q)
|
100% |
1394
259.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
593
9.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
601
9.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
1603
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2156
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2089
2.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
2996
3.55 IPS |
|
|
Object Detection (SP)
|
100% |
437
34.7 IPS |
|
|
Object Detection (HP)
|
100% |
437
34.6 IPS |
|
|
Object Detection (Q)
|
83% |
1213
98.0 IPS |
|
|
Face Detection (SP)
|
100% |
1467
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1464
17.4 IPS |
|
|
Face Detection (Q)
|
95% |
2893
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1993
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1806
13.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2516
23.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3079
4.00 IPS |
|
|
Style Transfer (HP)
|
89% |
3164
4.11 IPS |
|
|
Style Transfer (Q)
|
98% |
6238
8.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
929
34.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
647
24.0 IPS |
|
|
Text Classification (SP)
|
100% |
179
238.9 IPS |
|
|
Text Classification (HP)
|
100% |
178
237.7 IPS |
|
|
Text Classification (Q)
|
88% |
289
390.2 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.47 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (Q)
|
50% |
167
5.93 IPS |
