Xiaomi 23021RAA2Y
Geekbench AI Score
368
Single Precision Score
362
Half Precision Score
424
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 05:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23021RAA2Y |
| Model ID | Xiaomi 23021RAA2Y |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
197
36.7 IPS |
|
|
Image Classification (HP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (Q)
|
100% |
363
67.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
240
3.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
460
7.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
922
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
872
1.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
798
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
182
14.4 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.3 IPS |
|
|
Object Detection (Q)
|
83% |
367
29.7 IPS |
|
|
Face Detection (SP)
|
100% |
504
5.99 IPS |
|
|
Face Detection (HP)
|
100% |
518
6.16 IPS |
|
|
Face Detection (Q)
|
95% |
844
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
737
5.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
731
5.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
799
7.32 IPS |
|
|
Style Transfer (SP)
|
89% |
1525
1.98 IPS |
|
|
Style Transfer (HP)
|
89% |
1521
1.97 IPS |
|
|
Style Transfer (Q)
|
98% |
2028
2.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
383
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
319
11.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
194
7.18 IPS |
|
|
Text Classification (SP)
|
100% |
132
176.0 IPS |
|
|
Text Classification (HP)
|
100% |
132
176.0 IPS |
|
|
Text Classification (Q)
|
88% |
146
196.4 IPS |
|
|
Machine Translation (SP)
|
100% |
204
3.52 IPS |
|
|
Machine Translation (HP)
|
100% |
211
3.64 IPS |
|
|
Machine Translation (Q)
|
50% |
100
3.53 IPS |
