Xiaomi 23043RP34G
Geekbench AI Score
841
Single Precision Score
839
Half Precision Score
1550
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Slich2 |
| Upload Date | January 04 2025 06:14 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
517
96.2 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.0 IPS |
|
|
Image Classification (Q)
|
100% |
1517
282.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1692
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2286
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2206
2.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
3433
4.07 IPS |
|
|
Object Detection (SP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (HP)
|
100% |
476
37.7 IPS |
|
|
Object Detection (Q)
|
83% |
1372
110.8 IPS |
|
|
Face Detection (SP)
|
100% |
1528
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1521
18.1 IPS |
|
|
Face Detection (Q)
|
95% |
3197
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1733
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1906
14.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3193
29.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3842
4.99 IPS |
|
|
Style Transfer (HP)
|
89% |
3821
4.96 IPS |
|
|
Style Transfer (Q)
|
98% |
7841
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1098
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1084
40.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1981
73.4 IPS |
|
|
Text Classification (SP)
|
100% |
172
229.7 IPS |
|
|
Text Classification (HP)
|
100% |
161
214.8 IPS |
|
|
Text Classification (Q)
|
88% |
258
348.3 IPS |
|
|
Machine Translation (SP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (Q)
|
50% |
162
5.74 IPS |
