Xiaomi 23043RP34G
Geekbench AI Score
59
Single Precision Score
59
Half Precision Score
841
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | lensmich |
| Upload Date | January 19 2025 04:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 23043RP34G |
| Model ID | Xiaomi 23043RP34G |
| Motherboard | kona |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
34
6.25 IPS |
|
|
Image Classification (HP)
|
100% |
34
6.32 IPS |
|
|
Image Classification (Q)
|
96% |
1045
195.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
42
0.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
43
0.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
1223
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
67
0.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
67
0.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
13205
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
34
2.72 IPS |
|
|
Object Detection (HP)
|
100% |
34
2.72 IPS |
|
|
Object Detection (Q)
|
84% |
1223
98.7 IPS |
|
|
Face Detection (SP)
|
100% |
78
0.93 IPS |
|
|
Face Detection (HP)
|
100% |
79
0.94 IPS |
|
|
Face Detection (Q)
|
97% |
2017
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
78
0.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
78
0.60 IPS |
|
|
Depth Estimation (Q)
|
64% |
5500
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
140
0.18 IPS |
|
|
Style Transfer (HP)
|
100% |
140
0.18 IPS |
|
|
Style Transfer (Q)
|
98% |
18523
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42
1.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42
1.56 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
156
5.76 IPS |
|
|
Text Classification (SP)
|
100% |
57
75.7 IPS |
|
|
Text Classification (HP)
|
100% |
57
76.6 IPS |
|
|
Text Classification (Q)
|
93% |
268
360.1 IPS |
|
|
Machine Translation (SP)
|
100% |
87
1.50 IPS |
|
|
Machine Translation (HP)
|
100% |
87
1.50 IPS |
|
|
Machine Translation (Q)
|
0% |
0
2.05 IPS |
