Xiaomi 23043RP34G
Geekbench AI Score
256
Single Precision Score
177
Half Precision Score
916
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | epitgtb29 |
| Upload Date | August 24 2025 10:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
372
69.1 IPS |
|
|
Image Classification (HP)
|
100% |
605
112.5 IPS |
|
|
Image Classification (Q)
|
97% |
1269
236.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
396
6.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
42
0.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
1221
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1271
1.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
4892
5.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
11194
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
326
25.9 IPS |
|
|
Object Detection (HP)
|
100% |
34
2.66 IPS |
|
|
Object Detection (Q)
|
85% |
1329
107.0 IPS |
|
|
Face Detection (SP)
|
100% |
1002
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
78
0.92 IPS |
|
|
Face Detection (Q)
|
97% |
2961
35.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
173
1.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
77
0.59 IPS |
|
|
Depth Estimation (Q)
|
22% |
242
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
231
0.30 IPS |
|
|
Style Transfer (HP)
|
100% |
138
0.18 IPS |
|
|
Style Transfer (Q)
|
98% |
976
1.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
659
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1790
66.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5007
185.5 IPS |
|
|
Text Classification (SP)
|
71% |
9
13.3 IPS |
|
|
Text Classification (HP)
|
100% |
57
75.6 IPS |
|
|
Text Classification (Q)
|
93% |
77
103.8 IPS |
|
|
Machine Translation (SP)
|
100% |
85
1.46 IPS |
|
|
Machine Translation (HP)
|
100% |
88
1.51 IPS |
|
|
Machine Translation (Q)
|
54% |
67
1.88 IPS |
