Xiaomi M2012K11AG
Geekbench AI Score
238
Single Precision Score
236
Half Precision Score
1004
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | sinanthonyxd |
| Upload Date | March 06 2025 04:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
150
27.8 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.2 IPS |
|
|
Image Classification (Q)
|
96% |
1305
243.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1243
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
256
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
240
0.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
13183
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (HP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (Q)
|
84% |
1236
99.7 IPS |
|
|
Face Detection (SP)
|
100% |
356
4.24 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (Q)
|
97% |
2139
25.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
295
2.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
285
2.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
5414
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
448
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
453
0.58 IPS |
|
|
Style Transfer (Q)
|
98% |
18776
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
151
5.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
148
5.48 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
578
21.4 IPS |
|
|
Text Classification (SP)
|
100% |
222
296.8 IPS |
|
|
Text Classification (HP)
|
100% |
223
297.5 IPS |
|
|
Text Classification (Q)
|
93% |
314
421.5 IPS |
|
|
Machine Translation (SP)
|
100% |
346
5.96 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.94 IPS |
|
|
Machine Translation (Q)
|
0% |
0
2.20 IPS |
