Xiaomi 23021RAAEG
Geekbench AI Score
90
Single Precision Score
91
Half Precision Score
148
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 16 2024 07:53 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23021RAAEG |
| Model ID | Xiaomi 23021RAAEG |
| 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% |
55
10.3 IPS |
|
|
Image Classification (HP)
|
100% |
56
10.5 IPS |
|
|
Image Classification (Q)
|
99% |
97
18.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
76
1.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
76
1.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
107
1.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
107
0.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
107
0.13 IPS |
|
|
Pose Estimation (Q)
|
98% |
207
0.24 IPS |
|
|
Object Detection (SP)
|
100% |
56
4.46 IPS |
|
|
Object Detection (HP)
|
100% |
57
4.48 IPS |
|
|
Object Detection (Q)
|
87% |
100
8.03 IPS |
|
|
Face Detection (SP)
|
100% |
145
1.72 IPS |
|
|
Face Detection (HP)
|
100% |
146
1.74 IPS |
|
|
Face Detection (Q)
|
97% |
227
2.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
129
1.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
130
1.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
193
1.75 IPS |
|
|
Style Transfer (SP)
|
100% |
116
0.15 IPS |
|
|
Style Transfer (HP)
|
100% |
112
0.14 IPS |
|
|
Style Transfer (Q)
|
98% |
421
0.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60
2.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63
2.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
119
4.42 IPS |
|
|
Text Classification (SP)
|
100% |
80
107.2 IPS |
|
|
Text Classification (HP)
|
100% |
80
107.2 IPS |
|
|
Text Classification (Q)
|
91% |
107
144.0 IPS |
|
|
Machine Translation (SP)
|
100% |
138
2.38 IPS |
|
|
Machine Translation (HP)
|
100% |
141
2.44 IPS |
|
|
Machine Translation (Q)
|
57% |
106
2.60 IPS |
