Xiaomi 23073RPBFG
Geekbench AI Score
35
Single Precision Score
108
Half Precision Score
105
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | androooooid8114471 |
| Upload Date | January 20 2025 01:44 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
31
5.83 IPS |
|
|
Image Classification (HP)
|
100% |
63
11.8 IPS |
|
|
Image Classification (Q)
|
97% |
64
12.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
31
0.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
104
1.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
104
1.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
55
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
109
0.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
109
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
32
2.54 IPS |
|
|
Object Detection (HP)
|
100% |
53
4.22 IPS |
|
|
Object Detection (Q)
|
89% |
53
4.21 IPS |
|
|
Face Detection (SP)
|
100% |
78
0.93 IPS |
|
|
Face Detection (HP)
|
100% |
198
2.35 IPS |
|
|
Face Detection (Q)
|
97% |
202
2.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
74
0.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
152
1.17 IPS |
|
|
Depth Estimation (Q)
|
63% |
125
1.18 IPS |
|
|
Style Transfer (SP)
|
0
|
||
|
Style Transfer (HP)
|
100% |
289
0.37 IPS |
|
|
Style Transfer (Q)
|
98% |
287
0.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36
1.32 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
75
2.78 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
75
2.77 IPS |
|
|
Text Classification (SP)
|
100% |
71
94.4 IPS |
|
|
Text Classification (HP)
|
100% |
71
95.2 IPS |
|
|
Text Classification (Q)
|
91% |
92
123.4 IPS |
|
|
Machine Translation (SP)
|
100% |
125
2.15 IPS |
|
|
Machine Translation (HP)
|
100% |
125
2.16 IPS |
|
|
Machine Translation (Q)
|
57% |
92
2.25 IPS |
