Xiaomi 23043RP34G
Geekbench AI Score
423
Single Precision Score
532
Half Precision Score
1421
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | skitou |
| Upload Date | December 09 2024 01:44 PM |
| Views | 1 |
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 | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
468
87.1 IPS |
|
|
Image Classification (HP)
|
100% |
765
142.2 IPS |
|
|
Image Classification (Q)
|
97% |
1415
264.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
663
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
1274
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1603
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
4943
5.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
11523
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.2 IPS |
|
|
Object Detection (Q)
|
85% |
1667
134.1 IPS |
|
|
Face Detection (SP)
|
100% |
1165
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
392
4.65 IPS |
|
|
Face Detection (Q)
|
97% |
3676
43.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
503
3.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
336
2.59 IPS |
|
|
Depth Estimation (Q)
|
22% |
267
61.2 IPS |
|
|
Style Transfer (SP)
|
100% |
761
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
545
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
4195
5.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
673
24.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1924
71.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5670
210.1 IPS |
|
|
Text Classification (SP)
|
71% |
11
15.6 IPS |
|
|
Text Classification (HP)
|
100% |
249
332.9 IPS |
|
|
Text Classification (Q)
|
93% |
161
215.7 IPS |
|
|
Machine Translation (SP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.61 IPS |
|
|
Machine Translation (Q)
|
54% |
258
7.26 IPS |
