Xiaomi 23073RPBFC
Geekbench AI Score
29
Single Precision Score
89
Half Precision Score
89
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 09 2024 03:06 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 23073RPBFC |
| Model ID | Xiaomi 23073RPBFC |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
32
5.94 IPS |
|
|
Image Classification (HP)
|
100% |
65
12.1 IPS |
|
|
Image Classification (Q)
|
97% |
66
12.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
29
0.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
88
1.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
89
1.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
56
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
109
0.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
110
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
32
2.57 IPS |
|
|
Object Detection (HP)
|
100% |
54
4.30 IPS |
|
|
Object Detection (Q)
|
89% |
54
4.31 IPS |
|
|
Face Detection (SP)
|
100% |
80
0.95 IPS |
|
|
Face Detection (HP)
|
100% |
200
2.38 IPS |
|
|
Face Detection (Q)
|
97% |
206
2.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
76
0.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
156
1.20 IPS |
|
|
Depth Estimation (Q)
|
63% |
129
1.21 IPS |
|
|
Style Transfer (SP)
|
0
|
||
|
Style Transfer (HP)
|
100% |
291
0.37 IPS |
|
|
Style Transfer (Q)
|
98% |
289
0.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36
1.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
77
2.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
76
2.82 IPS |
|
|
Text Classification (SP)
|
100% |
28
36.9 IPS |
|
|
Text Classification (HP)
|
100% |
28
37.8 IPS |
|
|
Text Classification (Q)
|
91% |
41
54.7 IPS |
|
|
Machine Translation (SP)
|
100% |
51
0.87 IPS |
|
|
Machine Translation (HP)
|
100% |
51
0.87 IPS |
|
|
Machine Translation (Q)
|
57% |
40
0.97 IPS |
