Xiaomi 23073RPBFG
Geekbench AI Score
86
Single Precision Score
86
Half Precision Score
228
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | androooooid8114471 |
| Upload Date | January 16 2025 01:29 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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
9.06 IPS |
|
|
Image Classification (HP)
|
100% |
49
9.12 IPS |
|
|
Image Classification (Q)
|
96% |
467
87.1 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
3.86 IPS |
|
|
Object Detection (HP)
|
100% |
49
3.91 IPS |
|
|
Object Detection (Q)
|
84% |
513
41.4 IPS |
|
|
Face Detection (SP)
|
100% |
127
1.51 IPS |
|
|
Face Detection (HP)
|
100% |
129
1.54 IPS |
|
|
Face Detection (Q)
|
97% |
1049
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
114
0.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
114
0.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
168
1.53 IPS |
|
|
Style Transfer (SP)
|
100% |
205
0.26 IPS |
|
|
Style Transfer (HP)
|
100% |
211
0.27 IPS |
|
|
Style Transfer (Q)
|
98% |
398
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56
2.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55
2.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
105
3.87 IPS |
|
|
Text Classification (SP)
|
100% |
74
98.7 IPS |
|
|
Text Classification (HP)
|
100% |
75
99.6 IPS |
|
|
Text Classification (Q)
|
93% |
148
199.0 IPS |
|
|
Machine Translation (SP)
|
100% |
125
2.16 IPS |
|
|
Machine Translation (HP)
|
100% |
126
2.17 IPS |
|
|
Machine Translation (Q)
|
57% |
91
2.23 IPS |
