Xiaomi Redmi Note 12 4G Xiaomi 23021RAAEG
Geekbench AI Score
393
Single Precision Score
390
Half Precision Score
507
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | December 16 2024 06:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
188
35.0 IPS |
|
|
Image Classification (HP)
|
100% |
188
35.0 IPS |
|
|
Image Classification (Q)
|
100% |
342
63.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
228
3.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
439
7.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
880
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
885
1.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
751
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (Q)
|
83% |
341
27.5 IPS |
|
|
Face Detection (SP)
|
100% |
500
5.94 IPS |
|
|
Face Detection (HP)
|
100% |
494
5.86 IPS |
|
|
Face Detection (Q)
|
95% |
788
9.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
712
5.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
708
5.46 IPS |
|
|
Depth Estimation (Q)
|
64% |
791
7.24 IPS |
|
|
Style Transfer (SP)
|
89% |
1515
1.97 IPS |
|
|
Style Transfer (HP)
|
89% |
1524
1.98 IPS |
|
|
Style Transfer (Q)
|
98% |
2003
2.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
353
13.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
414
15.3 IPS |
|
|
Text Classification (SP)
|
100% |
197
262.6 IPS |
|
|
Text Classification (HP)
|
100% |
195
260.2 IPS |
|
|
Text Classification (Q)
|
88% |
320
431.5 IPS |
|
|
Machine Translation (SP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (HP)
|
100% |
327
5.64 IPS |
|
|
Machine Translation (Q)
|
50% |
178
6.32 IPS |
