Xiaomi 23073RPBFG
Geekbench AI Score
329
Single Precision Score
328
Half Precision Score
354
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | androooooid8114471 |
| Upload Date | January 06 2025 01:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23073RPBFG |
| Model ID | Xiaomi 23073RPBFG |
| 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 @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
170
31.7 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
100% |
313
58.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
212
3.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
212
3.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
389
6.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
779
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
774
0.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
583
0.69 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
83% |
287
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
469
5.57 IPS |
|
|
Face Detection (HP)
|
100% |
463
5.50 IPS |
|
|
Face Detection (Q)
|
95% |
705
8.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
679
5.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
647
4.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
618
5.66 IPS |
|
|
Style Transfer (SP)
|
89% |
1326
1.72 IPS |
|
|
Style Transfer (HP)
|
89% |
1313
1.70 IPS |
|
|
Style Transfer (Q)
|
98% |
1528
1.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
351
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
351
13.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
185
6.87 IPS |
|
|
Text Classification (SP)
|
100% |
125
166.5 IPS |
|
|
Text Classification (HP)
|
100% |
124
165.5 IPS |
|
|
Text Classification (Q)
|
88% |
135
182.6 IPS |
|
|
Machine Translation (SP)
|
100% |
192
3.31 IPS |
|
|
Machine Translation (HP)
|
100% |
195
3.37 IPS |
|
|
Machine Translation (Q)
|
50% |
92
3.26 IPS |
