Xiaomi 23043RP34G
Geekbench AI Score
615
Single Precision Score
913
Half Precision Score
834
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | epitgtb29 |
| Upload Date | August 24 2025 10:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
474
88.1 IPS |
|
|
Image Classification (HP)
|
100% |
686
127.7 IPS |
|
|
Image Classification (Q)
|
99% |
640
119.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
800
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1223
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1030
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3381
3.95 IPS |
|
|
Pose Estimation (HP)
|
99% |
5889
6.87 IPS |
|
|
Pose Estimation (Q)
|
97% |
5756
6.74 IPS |
|
|
Object Detection (SP)
|
100% |
336
26.6 IPS |
|
|
Object Detection (HP)
|
99% |
434
34.4 IPS |
|
|
Object Detection (Q)
|
85% |
425
34.2 IPS |
|
|
Face Detection (SP)
|
100% |
1141
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1618
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
1396
16.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1549
11.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2154
16.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1921
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3891
5.00 IPS |
|
|
Style Transfer (HP)
|
100% |
7913
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
7793
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
700
25.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
997
36.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1010
37.4 IPS |
|
|
Text Classification (SP)
|
35% |
21
203.4 IPS |
|
|
Text Classification (HP)
|
35% |
35
321.1 IPS |
|
|
Text Classification (Q)
|
35% |
33
299.7 IPS |
|
|
Machine Translation (SP)
|
100% |
179
3.09 IPS |
|
|
Machine Translation (HP)
|
97% |
197
3.40 IPS |
|
|
Machine Translation (Q)
|
64% |
146
3.01 IPS |
