Xiaomi Redmi Note 12 4G Xiaomi 23021RAAEG
Geekbench AI Score
38
Single Precision Score
119
Half Precision Score
116
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | December 16 2024 07:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
35
6.47 IPS |
|
|
Image Classification (HP)
|
100% |
69
12.9 IPS |
|
|
Image Classification (Q)
|
97% |
70
13.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
34
0.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
119
1.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
119
1.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
58
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
116
0.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
115
0.14 IPS |
|
|
Object Detection (SP)
|
100% |
35
2.76 IPS |
|
|
Object Detection (HP)
|
100% |
58
4.61 IPS |
|
|
Object Detection (Q)
|
89% |
57
4.55 IPS |
|
|
Face Detection (SP)
|
100% |
86
1.02 IPS |
|
|
Face Detection (HP)
|
100% |
223
2.64 IPS |
|
|
Face Detection (Q)
|
97% |
228
2.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
81
0.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
166
1.28 IPS |
|
|
Depth Estimation (Q)
|
63% |
137
1.29 IPS |
|
|
Style Transfer (SP)
|
0
|
||
|
Style Transfer (HP)
|
100% |
308
0.40 IPS |
|
|
Style Transfer (Q)
|
98% |
306
0.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39
1.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
81
3.00 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
80
2.95 IPS |
|
|
Text Classification (SP)
|
100% |
82
109.0 IPS |
|
|
Text Classification (HP)
|
100% |
82
109.4 IPS |
|
|
Text Classification (Q)
|
91% |
107
144.4 IPS |
|
|
Machine Translation (SP)
|
100% |
142
2.44 IPS |
|
|
Machine Translation (HP)
|
100% |
142
2.44 IPS |
|
|
Machine Translation (Q)
|
57% |
107
2.62 IPS |
