Xiaomi 23043RP34C
Geekbench AI Score
277
Single Precision Score
279
Half Precision Score
1083
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | yasminewsw |
| Upload Date | October 16 2025 06:27 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
174
32.3 IPS |
|
|
Image Classification (HP)
|
100% |
177
32.9 IPS |
|
|
Image Classification (Q)
|
96% |
1317
245.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
225
3.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
1336
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
295
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
295
0.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
13567
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.8 IPS |
|
|
Object Detection (Q)
|
84% |
1472
118.7 IPS |
|
|
Face Detection (SP)
|
100% |
402
4.77 IPS |
|
|
Face Detection (HP)
|
100% |
407
4.84 IPS |
|
|
Face Detection (Q)
|
97% |
2282
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
344
2.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
345
2.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
5885
54.1 IPS |
|
|
Style Transfer (SP)
|
100% |
552
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
553
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
19322
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
175
6.46 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
175
6.47 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
674
25.0 IPS |
|
|
Text Classification (SP)
|
100% |
258
343.9 IPS |
|
|
Text Classification (HP)
|
100% |
258
344.6 IPS |
|
|
Text Classification (Q)
|
93% |
364
488.7 IPS |
|
|
Machine Translation (SP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (HP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (Q)
|
0% |
0
2.20 IPS |
