Xiaomi Redmi Note 12 4G Xiaomi 23021RAAEG
Geekbench AI Score
96
Single Precision Score
92
Half Precision Score
147
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | December 20 2024 06:11 PM |
| Views | 17 |
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% |
56
10.3 IPS |
|
|
Image Classification (HP)
|
100% |
56
10.4 IPS |
|
|
Image Classification (Q)
|
99% |
97
18.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
76
1.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
76
1.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
107
1.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
107
0.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
107
0.12 IPS |
|
|
Pose Estimation (Q)
|
98% |
207
0.24 IPS |
|
|
Object Detection (SP)
|
100% |
57
4.49 IPS |
|
|
Object Detection (HP)
|
100% |
57
4.49 IPS |
|
|
Object Detection (Q)
|
87% |
100
8.04 IPS |
|
|
Face Detection (SP)
|
100% |
144
1.71 IPS |
|
|
Face Detection (HP)
|
100% |
146
1.74 IPS |
|
|
Face Detection (Q)
|
97% |
228
2.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
129
0.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
129
0.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
191
1.74 IPS |
|
|
Style Transfer (SP)
|
100% |
217
0.28 IPS |
|
|
Style Transfer (HP)
|
100% |
145
0.19 IPS |
|
|
Style Transfer (Q)
|
98% |
425
0.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61
2.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
59
2.18 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
111
4.13 IPS |
|
|
Text Classification (SP)
|
100% |
75
100.2 IPS |
|
|
Text Classification (HP)
|
100% |
75
100.6 IPS |
|
|
Text Classification (Q)
|
91% |
106
142.7 IPS |
|
|
Machine Translation (SP)
|
100% |
140
2.41 IPS |
|
|
Machine Translation (HP)
|
100% |
142
2.45 IPS |
|
|
Machine Translation (Q)
|
57% |
106
2.59 IPS |
