Xiaomi 23073RPBFG
Geekbench AI Score
85
Single Precision Score
82
Half Precision Score
130
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | androooooid8114471 |
| Upload Date | January 12 2025 02:11 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
49
9.04 IPS |
|
|
Image Classification (HP)
|
100% |
49
9.15 IPS |
|
|
Image Classification (Q)
|
99% |
84
15.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
66
1.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
66
1.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
92
1.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
93
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
94
0.11 IPS |
|
|
Pose Estimation (Q)
|
98% |
179
0.21 IPS |
|
|
Object Detection (SP)
|
100% |
49
3.91 IPS |
|
|
Object Detection (HP)
|
100% |
49
3.92 IPS |
|
|
Object Detection (Q)
|
87% |
87
6.98 IPS |
|
|
Face Detection (SP)
|
100% |
128
1.52 IPS |
|
|
Face Detection (HP)
|
100% |
130
1.54 IPS |
|
|
Face Detection (Q)
|
97% |
198
2.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
114
0.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
114
0.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
168
1.52 IPS |
|
|
Style Transfer (SP)
|
100% |
212
0.27 IPS |
|
|
Style Transfer (HP)
|
100% |
127
0.16 IPS |
|
|
Style Transfer (Q)
|
98% |
398
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56
2.08 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55
2.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
104
3.87 IPS |
|
|
Text Classification (SP)
|
100% |
70
94.0 IPS |
|
|
Text Classification (HP)
|
100% |
71
94.5 IPS |
|
|
Text Classification (Q)
|
91% |
92
123.6 IPS |
|
|
Machine Translation (SP)
|
100% |
121
2.09 IPS |
|
|
Machine Translation (HP)
|
100% |
126
2.16 IPS |
|
|
Machine Translation (Q)
|
57% |
91
2.23 IPS |
