Xiaomi 22126RN91Y
Geekbench AI Score
337
Single Precision Score
346
Half Precision Score
619
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 24 2024 10:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6769V/CZ |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi 22126RN91Y |
| Model ID | Xiaomi 22126RN91Y |
| Motherboard | aether |
| CPU Information | |
|---|---|
| Name | ARM MT6769V/CZ |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
165
30.6 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.0 IPS |
|
|
Image Classification (Q)
|
100% |
389
72.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
143
2.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
193
3.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
539
8.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
716
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
658
0.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
1044
1.24 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (HP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (Q)
|
83% |
447
36.1 IPS |
|
|
Face Detection (SP)
|
100% |
422
5.01 IPS |
|
|
Face Detection (HP)
|
100% |
333
3.96 IPS |
|
|
Face Detection (Q)
|
95% |
1075
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
555
4.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
552
4.26 IPS |
|
|
Depth Estimation (Q)
|
64% |
1040
9.53 IPS |
|
|
Style Transfer (SP)
|
89% |
1641
2.13 IPS |
|
|
Style Transfer (HP)
|
89% |
1633
2.12 IPS |
|
|
Style Transfer (Q)
|
98% |
2401
3.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
303
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
674
25.0 IPS |
|
|
Text Classification (SP)
|
100% |
205
273.5 IPS |
|
|
Text Classification (HP)
|
100% |
201
267.7 IPS |
|
|
Text Classification (Q)
|
88% |
296
399.3 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.40 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (Q)
|
50% |
160
5.66 IPS |
