Xiaomi 23043RP34C
Geekbench AI Score
875
Single Precision Score
1564
Half Precision Score
1438
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | yasminewsw |
| Upload Date | October 16 2025 06:05 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23043RP34C |
| Model ID | Xiaomi 23043RP34C |
| 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% |
638
118.6 IPS |
|
|
Image Classification (HP)
|
100% |
1051
195.5 IPS |
|
|
Image Classification (Q)
|
99% |
967
180.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1105
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1893
30.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1673
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4161
4.85 IPS |
|
|
Pose Estimation (HP)
|
99% |
7299
8.52 IPS |
|
|
Pose Estimation (Q)
|
97% |
7010
8.21 IPS |
|
|
Object Detection (SP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (HP)
|
99% |
771
61.2 IPS |
|
|
Object Detection (Q)
|
85% |
740
59.5 IPS |
|
|
Face Detection (SP)
|
100% |
1840
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
3226
38.3 IPS |
|
|
Face Detection (Q)
|
97% |
2867
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2008
15.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3067
23.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2526
23.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4922
6.33 IPS |
|
|
Style Transfer (HP)
|
100% |
10338
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
10060
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
979
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1821
67.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1825
67.6 IPS |
|
|
Text Classification (SP)
|
35% |
33
320.4 IPS |
|
|
Text Classification (HP)
|
35% |
54
492.3 IPS |
|
|
Text Classification (Q)
|
35% |
53
480.7 IPS |
|
|
Machine Translation (SP)
|
100% |
301
5.18 IPS |
|
|
Machine Translation (HP)
|
97% |
782
13.5 IPS |
|
|
Machine Translation (Q)
|
64% |
640
13.1 IPS |
