Xiaomi 23043RP34G
Geekbench AI Score
864
Single Precision Score
1456
Half Precision Score
1346
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | nazaaki |
| Upload Date | September 25 2025 02:06 PM |
| Views | 8 |
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% |
636
118.3 IPS |
|
|
Image Classification (HP)
|
100% |
1053
195.8 IPS |
|
|
Image Classification (Q)
|
99% |
907
169.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1841
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4112
4.80 IPS |
|
|
Pose Estimation (HP)
|
99% |
7194
8.39 IPS |
|
|
Pose Estimation (Q)
|
97% |
6996
8.19 IPS |
|
|
Object Detection (SP)
|
100% |
509
40.3 IPS |
|
|
Object Detection (HP)
|
99% |
841
66.7 IPS |
|
|
Object Detection (Q)
|
85% |
772
62.1 IPS |
|
|
Face Detection (SP)
|
100% |
1829
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
3093
36.8 IPS |
|
|
Face Detection (Q)
|
97% |
2688
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1944
15.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2884
22.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2447
22.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4875
6.27 IPS |
|
|
Style Transfer (HP)
|
100% |
9970
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
9852
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1010
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1787
66.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1817
67.3 IPS |
|
|
Text Classification (SP)
|
35% |
32
313.5 IPS |
|
|
Text Classification (HP)
|
35% |
49
442.0 IPS |
|
|
Text Classification (Q)
|
35% |
50
455.3 IPS |
|
|
Machine Translation (SP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (HP)
|
97% |
468
8.10 IPS |
|
|
Machine Translation (Q)
|
64% |
369
7.59 IPS |
