Xiaomi mi pad 6 Xiaomi 23043RP34G
Geekbench AI Score
57
Single Precision Score
57
Half Precision Score
855
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Slich2 |
| Upload Date | January 04 2025 07:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23043RP34G |
| Model ID | Xiaomi 23043RP34G |
| Motherboard | pipa |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
32
5.98 IPS |
|
|
Image Classification (HP)
|
100% |
33
6.05 IPS |
|
|
Image Classification (Q)
|
96% |
1114
208.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
41
0.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
42
0.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
1282
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
63
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
63
0.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
13110
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
33
2.61 IPS |
|
|
Object Detection (HP)
|
100% |
33
2.63 IPS |
|
|
Object Detection (Q)
|
84% |
1139
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
75
0.89 IPS |
|
|
Face Detection (HP)
|
100% |
75
0.90 IPS |
|
|
Face Detection (Q)
|
97% |
1974
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
74
0.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
75
0.58 IPS |
|
|
Depth Estimation (Q)
|
64% |
5431
49.9 IPS |
|
|
Style Transfer (SP)
|
100% |
132
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
133
0.17 IPS |
|
|
Style Transfer (Q)
|
98% |
18182
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41
1.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40
1.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
151
5.60 IPS |
|
|
Text Classification (SP)
|
100% |
56
74.8 IPS |
|
|
Text Classification (HP)
|
100% |
56
75.2 IPS |
|
|
Text Classification (Q)
|
93% |
335
449.4 IPS |
|
|
Machine Translation (SP)
|
100% |
84
1.45 IPS |
|
|
Machine Translation (HP)
|
100% |
84
1.45 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.99 IPS |
